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Bull-Bear with Gainer-Looser Dashboard Scanner [Chartology.AI] 🔍 Bull-Bear with Gainer-Looser Dashboard Scanner This advanced multi-symbol scanning tool provides a professional-grade dashboard for analyzing trend reversals across 40 selected tickers simultaneously. It identifies high-probability entry points using a refined engine combined with real-time Gainer & Looser performance metrics. 🟢 Bullish & Bearish Signals The scanner detects possible moment a trend shifts direction. Input Settings Signal Type: Safe Appears after a proper trend confirmation. Low frequency, fewer signals, but more reliable. Best for swing traders who want strong confirmation before entering. Signal Type: Scalping Appears frequently during small downward moves. High frequency, quick signals for short-term trades. Best for intraday Traders who want multiple opportunities in small movements. 📊 Real-Time Dashboard Metrics The Dashboard is clean, auto-sorting table at the bottom of your chart. Each cell provides critical data points for immediate decision-making: Symbol Name: Shows the ticker (e.g. XAUUSD, EURUSD). Signal Age (⏱️): Displays exactly how many candles ago the signal appeared. The dashboard automatically sorts the newest signals to the top . Intraday Strength (ROC%): Shows the percentage change from the current session's open. ▲ Green: Price is trading above the opening bell (Intraday Gainer). ▼ Red: Price is trading below the opening bell (Intraday Looser). 🚦 Key Functional Features Multi-Symbol Processing: Scans any 40 symbols in a single view. Recency Filter: The Max Bars Ago input allows you to hide "stale" signals, showing only entries that happened within your preferred window. Adaptive Grid Layout: The table dynamically wraps based on the Max Columns setting, keeping your chart workspace visible. 🧭 How to Use for Maximum Accuracy Check Signal Age: Prioritize signals that are 1–3 bars old . Signals older than 5 bars may have already reached their primary targets. Validate with ROC: A Bullish signal is much stronger if the ROC is also positive (▲). This confirms that institutional buyers are active for the day. Align Timeframes: Use the ROC Timeframe input to align the scanner with a higher timeframe (like 30m or 1H) to trade with the "Big Trend." 🕵🏻 Quick Setup Guide Select Symbols: Use the input toggles to enable/disable specific stocks. Choose Frequency: Switch to Scalping for volatile days and Safe for trending markets. Set Lookback: Adjust Max Bars Ago to 5 if you only want to see the most immediate "Hot" signals. 📊 Healthy Trading Tips Risk Small: Never risk more than 1–2% per trade. Size Smart: Adjust position size to volatility and account size. Diversify: Don’t put all money in one asset/sector. Plan Ahead: Set entry, exit, and stop‑loss before trading. Trade Less: Focus on quality setups, avoid overtrading. Use Both Analyses: Combine technical charts with fundamental news/events. Control Emotions: Stick to strategy, avoid fear/greed. Journal Trades: Record reasons, outcomes, and lessons. Stay Informed: Track economic calendars and global events. Take Breaks: Step away after wins/losses to reset. 🎯 Advanced Discipline Partial Exit: Book profits in stages (e.g., 50% at 1:1, 50% at Final Level). Check News: Avoid trading during major announcements. No Tweaks: Don’t change plan mid‑trade; wait for SL/TP. Fixed Rules: Trade with fixed risk, fixed gains. No Averaging Losses: Close bad trades, don’t add more. Keep Learning: Evolve strategy with market changes. Backtest: Practice setups until they’re second nature. Daily Routine: Pre‑market Preparation, post‑market review. Track Metrics: Win rate, average reward, expectancy, and setup performance. Respect Trend: Trade with momentum, not against it. Avoid Over‑Leverage: Keep leverage low, avoid margin unless planned. 🚫 Risk Disclaimer This content, including any tools, software, datafeeds, indicators, or scanners, is provided strictly for charting, educational, informational, and paper‑trading purposes only. It does not constitute investment advice, buy/sell recommendations, or real‑money trading strategies. Not Advisors: We are not registered as investment advisors or research analysts. Charting Only: Use is limited to testing strategies; any application to real trading is at the user’s sole risk. No Liability: No liability is accepted for financial loss or damages arising from use of these tools. High Risk: Trading and investing involve substantial risk and can result in losses beyond initial capital. ⚠️ Final Note: Trading is speculative and may not be suitable for all investors. Use only risk capital and never invest money you cannot afford to lose. ✅ Always remember🧠 my 3R Rule💡: If the money💰 is yours then, RISK⚖️, REWARD🏆 and REGRET😔 are solely yours. 🔥
Indicador Pine Script®
por Chartology-AI
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors. Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes. Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk. INTRODUCTION The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels. 1. VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume. 2. ATR (Average True Range): Measures how much the price typically moves each day. 3. Trend Analysis: Identifies whether the market is going up, down, or sideways. 4. Momentum Indicators: Shows how strong the current price movement is. 5. Support & Resistance: Identifies key price levels where the price might stop or reverse. 6. Swing Points: Finds significant turning points in the price. This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio. The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction. CORE CONCEPT AND METHODOLOGY Volume Weighted Average Price (VWAP) VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred. The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average. In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences. Average True Range (ATR) for Risk Management The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction; instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels. The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions. Swing Detection and Support/Resistance Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels. The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels. Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many swing points to maintain in each array, ensuring that only relevant historical levels are considered. Breakout Detection When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings. The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down. Trend Identification Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA). The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action. Momentum Analysis Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30). This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences. CONFIGURATION PARAMETERS VWAP Settings The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences. ATR Settings The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk. Trade Settings The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades) or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks. Swing Detection Settings The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart. Support & Resistance Settings The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage. Trend & Momentum Settings The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations. Table Settings The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels. SIGNAL GENERATION LOGIC Long Signal Conditions A long signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET). 2. Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation). 3. Price Position: Current price must be above VWAP, indicating bullish price action. 4. Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome. 5. Momentum Alignment: Momentum must be either STRONG BULL or BUILDING. This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement. Short Signal Conditions A short signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours 2. Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation) 3. Price Position: Current price must be below VWAP, indicating bearish price action 4. Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome 5. Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups. TRADE MANAGEMENT FRAMEWORK Entry Price Calculation For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'. The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer. Stop-Loss Placement Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'. This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection. Target Price Calculation Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile. New York Session Tracking The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level. INFORMATION TABLES Indicators Table This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level. Trade Levels Table This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals. ALERT CONDITIONS The indicator includes four alert conditions that can be configured in TradingView: 1. LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information. 2. SHORT Signal: Triggers when a short signal is generated with corresponding trade details. 3. Breakout Up: Notifies when price breaks out above resistance level. 4. Breakout Down: Notifies when price breaks down below support level. These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts. USAGE EXAMPLES AND TRADING SCENARIOS Strong Bullish Trend with VWAP Support In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away. Short Setup During Volatile Session During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio. Avoiding Counter-Trend Trades Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern. No Prior Levels Scenario At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form. BEST PRACTICES AND TIPS Timeframe Selection This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live. Market Conditions The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions. Parameter Optimization While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality. Multiple Timeframe Analysis For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction. Risk Management While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded. INTEGRATION WITH TRADINGVIEW Adding the Indicator To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available. Configuring Alerts To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences. Customization All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences. LIMITATIONS AND CONSIDERATIONS Session Dependency The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours. Historical Data Requirements The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified. Lag in Swing Detection By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs. Not Financial Advice This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results. SUMMARY The code follows a logical flow: • Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled • Input Parameters: All user-configurable settings grouped by category • Session Logic: New York session tracking and open price recording • Core Calculations: VWAP, ATR, EMA, RSI, swing points • Support/Resistance Logic: Array-based storage and retrieval of swing levels • Trend and Momentum Classification: Categorization of current market state • Signal Generation: Confluence-based long and short conditions • Trade Level Calculations: Entry, stop-loss, and target pricing • Visual Plots: Hidden plots for alert data access • Information Tables: Real-time display of key values • Alert Conditions: Four configurable alert triggers This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Indicador Pine Script®
por srd786
Commodity Channel Index CCI + EMA strategy ================================================================================ COMMODITY CHANNEL INDEX CCI + EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 I also develop automated trading codes for other trading platforms including: - CTrader (C#) - MetaTrader 4 (MQL4) - MetaTrader 5 (MQL5) If you need a strategy converted or developed for any of these platforms, feel free to contact me! ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with currency pairs (forex). The CCI indicator works particularly well in the forex market due to the nature of currency movements and the effectiveness of the CCI in identifying overbought and oversold conditions in trending markets. Why Currency Pairs? 🎯 - CCI is highly effective in identifying reversals in forex markets - Currency pairs show clear overbought/oversold patterns - EMA filter (50/200) aligns well with major forex trends - High liquidity ensures reliable signal execution Performance Highlights: In specific currency pairs, when properly configured, this strategy can achieve: - Profit Factor: Over 2.0 - Win Rate: Up to 70% - Particularly effective pairs: USDCAD, EURUSD, GBPJPY While the strategy can work with other instruments (stocks, indices, commodities), currency pairs provide the most consistent and reliable results. For optimal performance, focus on major forex pairs with good liquidity and clear trending characteristics. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy combines the Commodity Channel Index (CCI) with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The strategy uses CCI crossovers with a smoothing moving average and filters signals using EMA trend confirmation. The strategy automatically enters trades when CCI crosses the smoothing MA in specific zones, indicating potential trend reversals or continuations. HOW IT WORKS? ⚙️ --------------- 1. CCI CALCULATION 📈 The strategy calculates the Commodity Channel Index using: - CCI = (Price - SMA(Price, length)) / (0.015 × Deviation(Price, length)) - Default length: 20 periods - Source: HLC3 (typical price) The CCI shows: - Values above +100 = Overbought conditions - Values below -100 = Oversold conditions - Values around 0 = Neutral conditions 2. SMOOTHING MOVING AVERAGE 📊 A moving average is applied to the CCI to smooth out fluctuations: - Types available: SMA, EMA, SMMA (RMA), WMA, VWMA - Default: SMA with length 14 - Can be disabled (set to "None") This smoothed line acts as a reference for crossover signals. 3. EMA TREND FILTER 🎯 Two EMAs are calculated on the CCI: - EMA 50 (fast EMA) - EMA 200 (slow EMA) When the EMA filter is enabled: - LONG signals only occur when EMA50 > EMA200 (uptrend confirmation) - SHORT signals only occur when EMA50 < EMA200 (downtrend confirmation) This filter can be enabled/disabled via the "Use EMA Filter" option. 4. ENTRY CONDITIONS 🎲 LONG ENTRY (Buy Signal): - CCI crosses ABOVE the Smoothing MA (crossover) - CCI is between Lower Level (-100) and Middle Level (0) - EMA Filter: EMA50 > EMA200 (if filter enabled) - No existing positions (or close opposite positions first) SHORT ENTRY (Sell Signal): - CCI crosses BELOW the Smoothing MA (crossunder) - CCI is between Middle Level (0) and Upper Level (+100) - EMA Filter: EMA50 < EMA200 (if filter enabled) - No existing positions (or close opposite positions first) 5. POSITION MANAGEMENT 💰 The strategy uses a simple position management approach: - Only ONE position at a time (no pyramiding) - If a signal occurs in the opposite direction, closes existing position first - Then opens new position in the new direction - This prevents overexposure and simplifies risk management 6. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy uses percentage-based TP/SL: - Take Profit: 1.0% (default, configurable) - Stop Loss: 0.5% (default, configurable) - Risk/Reward Ratio: 2:1 (TP is double the SL) TP/SL are calculated once when the position opens and remain fixed. AVAILABLE PARAMETERS ⚙️ ----------------------- CCI SETTINGS: 1. CCI Length (Default: 20) - Period for CCI calculation - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. CCI Source (Default: HLC3) - Price source for CCI calculation - Options: close, open, high, low, hlc3, hlcc4, ohlc4 3. CCI Lower Level (Default: -100) - Lower boundary for LONG entry zone - Typically -100 for oversold conditions 4. CCI Middle Level (Default: 0) - Neutral level separating LONG and SHORT zones 5. CCI Upper Level (Default: +100) - Upper boundary for SHORT entry zone - Typically +100 for overbought conditions SMOOTHING MA: 6. Type (Default: SMA) - Moving average type: None, SMA, EMA, SMMA (RMA), WMA, VWMA - Set to "None" to disable smoothing 7. Length (Default: 14) - Period for smoothing MA - Range: 7-28, step 7 EMA FILTER: 8. EMA 1 Length (Default: 50) - Fast EMA period applied to CCI 9. EMA 2 Length (Default: 200) - Slow EMA period applied to CCI 10. Use EMA Filter (Default: true) - Enable/disable EMA trend filter - When enabled: LONG only if EMA50 > EMA200, SHORT only if EMA50 < EMA200 RISK MANAGEMENT: 11. Take Profit (%) (Default: 1.0%) - Profit target as percentage of entry price - For LONG: Entry × (1 + TP%) - For SHORT: Entry × (1 - TP%) 12. Stop Loss (%) (Default: 0.5%) - Stop loss as percentage of entry price - For LONG: Entry × (1 - SL%) - For SHORT: Entry × (1 + SL%) VISUALIZATION 📊 --------------- The strategy displays in a separate panel below the price chart: 1. CCI LINE - Blue line showing the CCI value - Oscillates around zero 2. SMOOTHING MA LINE - Yellow line showing the smoothed CCI - Reference line for crossover signals 3. CCI LEVEL LINES - Red dashed line: Upper Level (+100) - Green dashed line: Lower Level (-100) - Yellow dashed line: Middle Level (0) 4. ENTRY SIGNALS - Green cross: LONG entry signal (when CCI crosses above MA) - Red cross: SHORT entry signal (when CCI crosses below MA) RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: CCI SETTINGS: - CCI Length: 20 (default) - CCI Source: HLC3 (default) - CCI Lower Level: -100 (default) - CCI Middle Level: 0 (default) - CCI Upper Level: +100 (default) SMOOTHING MA: - Type: SMA (default) or EMA for faster response - Length: 14 (default) EMA FILTER: - EMA 1 Length: 50 (default) - EMA 2 Length: 200 (default) - Use EMA Filter: true (recommended for better signal quality) RISK MANAGEMENT: - Take Profit (%): 1.0% (adjust based on your risk/reward preference) - Stop Loss (%): 0.5% (adjust based on your risk tolerance) For more aggressive trading: - Reduce CCI Length to 14-16 - Reduce Smoothing MA Length to 7 - Disable EMA Filter For more conservative trading: - Increase CCI Length to 24-30 - Increase Smoothing MA Length to 21-28 - Keep EMA Filter enabled RECOMMENDED CURRENCY PAIRS 💱 ------------------------------ This strategy is optimized for currency pairs and performs exceptionally well on the following pairs when properly configured: TOP PERFORMING PAIRS: - USDCAD: Can achieve Profit Factor > 2.0 and Win Rate up to 70% - EURUSD: Excellent performance with consistent signals - GBPJPY: Strong results with proper EMA filter configuration These pairs have shown the best historical performance due to: - Clear trending characteristics - Good response to CCI overbought/oversold levels - Strong alignment with EMA 50/200 trend filter - High liquidity ensuring reliable execution When trading these pairs, use the default settings or slightly adjusted parameters based on the pair's volatility. Always backtest on historical data before using real money to find the optimal configuration for each specific pair. PRACTICAL EXAMPLE 📝 -------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - CCI: -80 (in oversold zone) - Smoothing MA: -90 - CCI crosses above Smoothing MA (crossover occurs) - EMA50: -50, EMA200: -70 (EMA50 > EMA200, uptrend confirmed) 2. Strategy checks conditions: ✓ Smoothing MA enabled: Yes ✓ Crossover: Yes (CCI crosses above MA) ✓ CCI in range: Yes (-100 <= -80 <= 0) ✓ EMA Filter: Yes (EMA50 > EMA200) ✓ No existing position: Yes 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 (current close) - Take Profit: 1.1110 (1.0% above entry) - Stop Loss: 1.0945 (0.5% below entry) - Risk/Reward: 2:1 4. Outcome scenarios: - If price rises to 1.1110 → Take Profit hit (profit) - If price falls to 1.0945 → Stop Loss hit (loss limited) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on CCI and EMA indicators. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 ---------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Estrategia Pine Script®
por Burdiga84
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1 ## Indicator Description & User Guide --- ## 📊 Indicator Overview **Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1 **Type:** Support/Resistance & Liquidity Detection **Trading Style:** ICT Concepts (Inner Circle Trader) **Best Timeframes:** 1M, 5M, 15M, 1H --- ## 🎯 Core Features ### 1. **Support & Resistance Lines** - Automatically draws key swing high and swing low levels - Based on significant pivot points in price structure - Updates dynamically as new swings form ### 2. **"X" Mark - Liquidity Sweep** - **Symbol:** X marker on chart - **Meaning:** Indicates a liquidity sweep (stop hunt) - **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed - **Trading significance:** High-probability reversal zones after liquidity is taken ### 3. **"SFP" Label - Swing Failure Pattern** - **Symbol:** SFP text label - **Meaning:** Swing Failure Pattern detected - **What it shows:** Price attempted to make a new high/low but failed and reversed sharply - **Trading significance:** Strong reversal signal - smart money rejecting the level --- ## 📈 How to Use This Indicator ### Entry Setup Strategy: #### **For SHORT Trades (Sell):** 1. Wait for **SFP** to appear at a swing high 2. Look for **X marker** confirming liquidity sweep above the high 3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone 4. **Stop Loss:** Place above the red zone (above the swept high) 5. **Take Profit (Green Box):** Target the green zone below #### **For LONG Trades (Buy):** 1. Wait for **SFP** to appear at a swing low 2. Look for **X marker** confirming liquidity sweep below the low 3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone 4. **Stop Loss:** Place below the green zone (below the swept low) 5. **Take Profit (Red Box):** Target the red zone above --- ## 🎨 Color Coding System | Color | Zone Type | Usage | |-------|-----------|-------| | 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades | | 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades | | ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely | | 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal | --- ## 💡 Trading Examples ### Example 1: SHORT Trade (As shown in your chart) ``` 1. SFP appears at swing high (Red zone around 4,000) 2. X marker confirms liquidity sweep above the high 3. Entry: SHORT when price re-enters red zone 4. Stop Loss: Above red zone (e.g., 4,002) 5. Take Profit: Green zone below (3,964-3,972) 6. Risk:Reward = 1:3+ ``` ### Example 2: LONG Trade ``` 1. SFP appears at swing low (Green zone) 2. X marker confirms liquidity sweep below the low 3. Entry: LONG when price re-enters green zone 4. Stop Loss: Below green zone 5. Take Profit: Previous red zone above 6. Risk:Reward = 1:2 minimum ``` --- ## ⚠️ Important Trading Rules ### ✅ DO: - Wait for BOTH SFP and X marker confirmation - Enter on price returning to the zone (not on first touch) - Use proper position sizing (1-2% risk per trade) - Combine with market structure analysis - Look for confluences (orderblocks, fair value gaps) ### ❌ DON'T: - Trade against the higher timeframe trend - Enter without confirmation signals - Ignore the colored zones for SL/TP placement - Overtrade - wait for quality setups - Move stop loss to breakeven too early --- ## 🔧 Indicator Settings (Typical) **Adjustable Parameters:** - Swing Length: Number of bars to identify swing points - Show/Hide X markers - Show/Hide SFP labels - Zone opacity and colors - Line thickness --- ## 📚 ICT Concepts Explained ### **Liquidity Sweep:** Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments. ### **Swing Failure Pattern (SFP):** Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures. ### **Supply & Demand Zones:** - **Red zones** = Areas where selling pressure overwhelmed buyers - **Green zones** = Areas where buying pressure overwhelmed sellers - These zones act as magnets for price to return and react --- ## 🎓 Best Practices 1. **Confluence is Key:** - Combine with daily/weekly bias - Check for orderblocks nearby - Look for imbalances (FVG) 2. **Session Timing:** - Best during London/New York sessions - Avoid low liquidity periods 3. **Risk Management:** - Never risk more than 1-2% per trade - Use proper lot sizing - Take partial profits at key levels 4. **Timeframe Correlation:** - Check higher timeframe for bias - Enter on lower timeframe for precision - Exit based on higher timeframe targets --- ## 📞 Support & Updates **Version:** 1.0 **Compatibility:** TradingView Pine Script v5 **Updates:** Regular improvements based on ICT methodology --- ## ⚡ Quick Reference Card | Signal | Action | SL Placement | TP Target | |--------|--------|--------------|-----------| | SFP + X at High | SHORT at Red Zone | Above Red | Green Zone | | SFP + X at Low | LONG at Green Zone | Below Green | Red Zone | **Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context. --- *Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
Indicador Pine Script®
por wut_trader
9
Power Bar SMA Directional (Trade Your Edge)GENERAL OVERVIEW: The Power Bar SMA Directional (Trade Your Edge) indicator identifies high-momentum Power Bars and uses a structured SMA-based breakout model to generate Long and Short trading signals. Once a signal appears, the indicator automatically places a Stop-Loss and three Take-Profit levels, with an optional dynamic trailing stop-loss. Alerts are available for every trade event. This indicator was developed by Flux Charts in collaboration with Steven Adams (Trade Your Edge). What is the purpose of the indicator?: The purpose of the Power Bar SMA Indicator is to turn an unusually strong candle (Power Bar) into a complete, rule-based trade setup. The indicator does three main things, very specifically: It spots “power bars”. These are candles where the body is both large compared to the candle’s own range and large compared to nearby candles. It only cares about power bars when they align with the trend’s direction: bullish or bearish. When that happens, the indicator gives a buy or sell signal with an entry at the signal candle, a stop-loss at the low/high of the power bar, and three take-profit targets placed at fixed multiples of the entry to stop-loss distance. You can also have the stop move up/down after each target is hit with the trailing stop-loss feature. What’s the theory behind the indicator?: The theory behind this indicator is that large, one-sided candles often mark the start of directional strength. When a candle’s body takes up most of its total range and exceeds the average size of recent candlesticks, it shows clear control from either buyers or sellers. The indicator combines this concept with a simple moving average to confirm trend direction, ensuring signals only align with the current bias. It then checks if price breaks a recent swing high or low to confirm momentum is continuing rather than consolidating inside a range. By combining three core elements: trend bias, momentum identification, and confirmation that price has room for new discovery beyond prior ranges, the indicator can focus on finding trade setups that have multiple market factors in alignment. POWER BAR SMA DIRECTIONAL FEATURES: The Power Bar SMA Directional indicator includes 4 main features: Power Bars Trend Bias Long / Short Signals + Risk Management Alerts POWER BARS: 🔹What are Power Bars?: Power Bars are large, high-momentum candles that show strength in one direction of the market. They form when a candle’s body (the distance between open and close) dominates most of the candle’s total range (the distance between high and low), meaning price moved strongly in one direction with little to no pullback. To qualify, the candle must also be large relative to nearby candles. This size difference confirms that the candle is a burst of momentum. 🔹How to interpret and use Power Bars: When a Power Bar forms, it signals that price has just made a strong directional move with little to no pullback. Traders can use these bars to identify momentum shifts and potential trade setups. A bullish Power Bar means buyers controlled the entire candle, marking the start of upward momentum. A bearish Power Bar means sellers were in control of the entire candle, signaling the start of downwards momentum. In the Power Bar SMA Directional indicator, these candles are only used for signals when they align with the market trend and satisfy other entry requirements, mentioned later on. Bullish Power Bars forming above the Simple Moving Average (SMA) can signal potential long opportunities. Bullish Power Bars forming below the SMA can signal potential short opportunities. 🔹How are Power Bars identified: Power Bars are detected and confirmed only after the candle closes, ensuring that the full candlestick body and range can be measured. The indicator does not repaint or change past bars. Once a Power Bar is confirmed, it stays fixed on the chart. Power Bars can be detected on any timeframe or symbol that produces standard candlestick data. The indicator identifies Power Bars using two user-defined inputs: Sensitivity and Body %. ◇ Sensitivity: The Sensitivity setting determines how large a candle’s body must be relative to nearby candles. It uses the Average True Range (ATR) to compare the current candle’s size with recent candles, and the Sensitivity value acts as a multiplier of that ATR. A higher Sensitivity value means the candle must be much larger than recent candles to qualify, so fewer Power Bars will form. A lower value makes the filter less strict, allowing more candles to qualify. ◇ Body %: The Body % setting controls what percentage of the candle’s total range must be body rather than Wick. A higher value requires the body to take up more of the candle’s total range, so fewer candles pass the filter. A lower value allows candles with more wick to qualify, so more Power Bars will form. Body % Example: If Body % is set to 50, the candle body must cover at least half of the candle’s total range. For example, if a candle’s high is $11, its low is $10, its open is $10.20, and its close is $10.80, then the total range is $1 ($11 - $10) and the body is $0.60 ($10.80 - $10.20). Body % = (Body / Total Range) * 100 = (0.60 ÷ 1.00 × 100) = 60%. Since 60% is greater than the input of 50%, this candle passes the Body % criteria. Once a candlestick closes and it meets both the Sensitivity and Body % requirements, it will be plotted in a different color, using barcolor() function. Users can adjust the bullish/bearish colors of Power Bars by adjusting the ‘Candle Coloring’ setting. The Power Bar candle coloring is purely visual and does not affect signal logic or strategy calculations. TREND BIAS: The indicator uses a Simple Moving Average (SMA) to determine overall trend direction and ensure that long/short signals align with the market bias. When the SMA is sloping upward and price is trading above it, the market is considered to be in a bullish trend. In this case, only long setups are allowed. When the SMA is sloping downward and price is below it, the market is considered bearish, and only short setups are valid. This filtering ensures that every signal follows the current trend rather than fighting it. Within the settings, the SMA length can be customized to match different trading styles. A shorter SMA period reacts more quickly to price changes, making it better suited for scalping or lower timeframes where traders want faster entries and exits. A longer SMA period responds more slowly, which smooths out smaller fluctuations and is more useful for day traders or swing traders who focus on larger trends. By default, the SMA length is set to 20. Signals on SEED_ALEXDRAYM_SHORTINTEREST2:NQ 5-minute timeframe with a 10 SMA vs. 100 SMA: 🔹Why does the indicator include a trend filter?: This indicator is built around the assumption that markets tend to continue moving in their current direction. Thus, if the trend is bullish, it’s assumed that price will continue moving higher. If the trend is bearish, it’s assumed that price will continue moving lower. By combining the SMA filter with the momentum logic of the power bars, the indicator avoids countertrend setups. This keeps signals focused on continuation setups where both the trend and short-term strength (momentum) are in agreement. LONG/SHORT SIGNALS: This indicator identifies potential trade setups by combining momentum, trend alignment, and structural confirmation. It detects when a Power Bar candle appears, and then looks for confirmation that the move is valid through trend alignment and a structure break. There are three long setups and three short setups: Momentum Breakout Proximity Breakout Delayed Breakout All setups require: A valid Power Bar forming in the correct context relative to the SMA. A break of nearby structure (defined by the Swing Length setting). 🔹Signal Settings: ◇ SMA Distance: This setting defines how close a Power Bar must be to the SMA to qualify for the proximity breakout setup type. It measures the maximum allowed distance between the Power Bar’s open price and the SMA, expressed as a multiple of the Average True Range (ATR). This setting only affects Setup #2 (Proximity Breakout) and sometimes Setup #3 (Delayed Breakout). Setup #1 does not use this filter because its logic depends on price crossing the SMA or confirming later. In proximity setups, the power bar candle must both open and close on the same side of the SMA (bullish or bearish) while still being within the allowed SMA Distance range. This condition prevents signals when price is stretched too far away from the SMA, which could indicate exhaustion or a potential pullback rather than continuation. A lower SMA Distance value tightens this filter, allowing only Power Bars that form very close to the SMA, resulting in fewer but more conservative signals. A higher SMA Distance value gives wiggle room and allows setups that form farther from the SMA, generating more frequent signals. In the example below, when the SMA Distance is set to 0.5 (left chart), the bullish Power Bar does not trigger a long signal because its opening price is too far from the SMA. When the SMA Distance is increased to 1.0 (right chart), the same candle now falls within the allowed range, making the setup valid and displaying a long signal label. ◇ Swing Length: The Swing Length setting defines how the indicator identifies recent structure levels used for breakout confirmation. These structure levels are swing highs and swing lows, which represent points where price reversed direction over a specified number of bars. The indicator uses these high/low levels to determine whether price has broken past a meaningful area of prior support or resistance before confirming a trade setup. The Swing Length value determines how far back the indicator looks when calculating these points. Internally, it uses the Highest/Lowest method, scanning the last N bars (where N is the Swing Length input) to find the highest high and lowest low within that range. The highest high becomes the immediate resistance level for potential long setups. The lowest low becomes the immediate support level for potential short setups. A lower Swing Length value makes the indicator reference closer levels. This increases the number of potential signals because nearby highs and lows are easier for price to reach. A higher Swing Length value references farther structure levels, typically major swing points, which reduces signal frequency. Every setup requires a structure break for confirmation. The Swing Length setting directly affects how strict or lenient the entire indicator behaves for each setup type. In Setup #1 (Baseline Momentum Breakout) and Setup #2 (Trend-Aligned Proximity Breakout), the Power Bar must break the structure level during or immediately after its formation. In Setup #3 (Delayed Breakout Confirmation), the same Swing Length level is referenced for a limited number of candles defined by the Candles Between Confirmation setting. ◇ Candles Between Confirmation: The Candles Between Confirmation setting defines how long the indicator will wait for price to confirm a breakout after a qualifying Power Bar forms. It represents the maximum number of bars allowed between the Power Bar’s close and the moment when price breaks the nearby structure level, which is derived from the Swing Length setting. The structure level is defined as the most recent swing high (for long setups) or swing low (for short setups). If a structure break occurs within the specified window, a valid signal is triggered, and the Long or Short label is plotted at the close of the breakout candle. If price fails to break through the level within a certain number of candles, the setup is invalidated. This ensures that signals only appear when momentum follows through promptly, and not when price stalls or consolidates for an extended period. Lower values make confirmations stricter, capturing only quick momentum breakouts. Higher values allow more time for slower markets or higher timeframes to complete structure breaks. Adjust this setting based on market volatility and trading style. In the example below, when Candles Between Confirmation is set to 10, no signal appears because price breaks the swing high after 15 bars, which is greater than the allowed limit. When the setting is increased to 15, the same move qualifies, and a long signal is triggered as price breaks the swing high 15 candles after the initial bullish Power Bar that crossed the SMA. 🔹Long Setups: Long Setup #1: Momentum Breakout A bullish Power Bar opens below the SMA, and closes above it, showing buyer strength. A breakout must occur during this bullish Power Bar candle through a nearby resistance level derived from the Swing Length setting. When this breakout occurs, a Long Signal appears at bar close. After a signal appears, three take-profit levels and one stop-loss level are also plotted. Stop-Loss: Placed at the Power Bar’s low. Take-Profit 1: Set using a 1:1 risk distance from the Stop-Loss to entry. Take-Profit 2: Extends to 1:1.5 risk-to-reward. Take-Profit 3: Extends to 1:2 risk-to-reward. (Power Bars are white in this image) Long Setup #2: Proximity Breakout A bullish Power Bar opens and closes above the SMA, but is still close enough to it to show price hasn’t extended too far. (Refer to SMA Distance setting). As long as the opening of that candle is within the SMA Distance threshold, the setup remains valid. The bullish Power Bar candle must break through the recent swing high (refer to Swing Length setting). A Long Signal triggers when that breakout is confirmed. After a signal appears, three take-profit levels and one stop-loss level are also plotted, similar to Long Setup #1. (Power Bars are white in this image) Long Setup #3: Delayed Breakout A bullish Power Bar appears in a valid location (Refer to Long Setup #1 or Long Setup #2), but structure is not broken immediately. The indicator waits for confirmation within the maximum Candles Between Confirmation window. If price breaks structure within that time, a Long Signal appears. If price fails to break structure in time, the setup is discarded. Risk Management: Same Stop-Loss, TP 1, TP 2, and TP 3 logic as Long Setup #1 (Power Bars are white in this image) 🔹Short Setups: Short Setup #1: Momentum Breakout A bearish Power Bar opens above the SMA, and closes below it, showing seller strength. A breakout must occur during this bearish Power Bar candle through a nearby support level derived from the Swing Length setting. When this breakout occurs, a Short Signal appears at bar close. After a signal appears, three take-profit levels and one stop-loss level are also plotted. Stop-Loss: Placed at the Power Bar’s high. Take-Profit 1: Set using a 1:1 risk distance from the Stop-Loss to entry. Take-Profit 2: Extends to 1:1.5 risk-to-reward. Take-Profit 3: Extends to 1:2 risk-to-reward. (Power Bars are white in this image) Short Setup #2: Proximity Breakout A bearish Power Bar opens and closes below the SMA, but is still close enough to it to show price hasn’t extended too far. (Refer to SMA Distance setting). As long as the opening of that candle is within the SMA Distance threshold, the setup remains valid. The bearish Power Bar candle must break through the recent swing low (refer to Swing Length setting). A Short Signal triggers when that breakout is confirmed. After a signal appears, three take-profit levels and one stop-loss level are also plotted, similar to Short Setup #1. (Power Bars are white in this image) Short Setup #3: Delayed Breakout A bearish Power Bar appears in a valid location (Refer to Short Setup #1 or Short Setup #2), but structure is not broken immediately. The indicator waits for confirmation within the maximum Candles Between Confirmation window. If price breaks structure within that time, a Short Signal appears. If price fails to break structure in time, the setup is discarded. Risk Management: Same Stop-Loss, TP 1, TP 2, and TP 3 logic as Long Setup #1 (Power Bars are white in this image) 🔹Trailing Stop-Loss Feature: When the Trailing Stop-Loss setting is enabled, the Stop-Loss (SL) automatically adjusts as price reaches take-profit levels. This feature helps secure profits while keeping the trade logic completely rule-based and non-discretionary. Here’s exactly how it works step-by-step: Initial Stop-Loss placement: For a Long trade, the initial SL is set at the low of the bullish Power Bar that triggered the setup. For a Short trade, the initial SL is set at the high of the bearish Power Bar that triggered the setup. This level stays fixed until one of the Take-Profit targets is reached. After TP 1 is hit: The SL automatically moves to the entry price (breakeven). After TP2 is hit: The SL automatically moves to TP 1 Final exit condition: The trade is considered complete once either the trailing Stop-Loss or TP 3 is reached. 🔹Visualization: Users can enable or disable: Long Signals Short Signals Take-Profit Lines Take-Profit Labels Stop-Loss Lines Stop-Loss Labels Signal Line SMA ◇ Signal Line: The Signal Line is an optional visual feature that helps users see exactly which structure level the indicator is using to confirm a breakout. It does not change how signals are generated. It only displays the reference point on the chart. Users can customize the Signal Line style (Dashed, Dotted, Solid) and choose different colors for bullish and bearish signal lines. The Signal Line can also be turned off completely. When disabled, signals will not be affected. ALERTS: The indicator supports alerts, so you never miss a key market move. You can choose to receive alerts for each of the following conditions: Long Signal Short Signal TP 1 (Take-Profit 1) TP 2 (Take-Profit 2) TP 3 (Take-Profit 3) SL (Stop-Loss) UNIQUENESS: This indicator automates a strategy that is normally managed manually using multiple steps: identifying large momentum candles, validating trend direction, confirming breakout strength through structure, and then projecting clean risk-based targets. The SMA Distance filter, confirmation window, and swing structure rules work together to ensure signals only trigger when momentum (Power Bars) aligns with technical levels. This indicator turns Power Bars into complete trade ideas with real-time SL/TP management and alerts.
Indicador Pine Script®
por fluxchart
3
ORB Fusion ML AdaptiveORB FUSION ML - ADAPTIVE OPENING RANGE BREAKOUT SYSTEM INTRODUCTION ORB Fusion ML is an advanced Opening Range Breakout (ORB) system that combines traditional ORB methodology with machine learning probability scoring and adaptive reversal trading. Unlike basic ORB indicators, this system features intelligent breakout filtering, failed breakout detection, and complete trade lifecycle management with real-time visual feedback. This guide explains the theoretical concepts, system components, and educational examples of how the indicator operates. WHAT IS OPENING RANGE BREAKOUT (ORB)? Core Concept: The Opening Range Breakout strategy is based on the observation that the first 15-60 minutes of trading often establish a range that serves as support/resistance for the remainder of the session. Breakouts beyond this range have historically indicated potential directional moves. How It Works: Range Formation: System identifies high and low during opening period (default 30 minutes) Breakout Detection: Monitors price for confirmed breaks above/below range Signal Generation: Generates signals based on breakout method and filters Target Projection: Projects extension targets based on range size Why ORB May Be Effective: Opening period often represents institutional positioning Range boundaries historically act as support/resistance Breakouts may indicate strong directional bias Failed breakouts may signal reversal opportunities Note: Historical patterns do not guarantee future occurrences. SYSTEM COMPONENTS 1. OPENING RANGE DETECTION Primary ORB: Default: First 30 minutes of regular trading hours (9:30-10:00 AM ET) Configurable: 5, 15, 30, or 60-minute ranges Precision: Optional lower timeframe (LTF) data for exact high/low detection LTF Precision Mode: When enabled, system uses 1-minute data to identify precise range boundaries, even on higher timeframe charts. This may improve accuracy of breakout detection. Session ORBs (Optional): Asian Session: Typically 00:00-01:00 UTC London Session: Typically 08:00-09:00 UTC NY Session: Typically 13:30-14:30 UTC These provide additional reference levels for 24-hour markets. 2. INITIAL BALANCE (IB) The Initial Balance concept extends ORB methodology: Components: A-Period: First 30 minutes (9:30-10:00) B-Period: Second 30 minutes (10:00-10:30) IB Range: Combined high/low of both periods IB Extensions: System projects multiples of IB range (0.5×, 1.0×, 1.5×, 2.0×) as potential targets and key reference levels. Historical Context: IB methodology was popularized by traders observing that the first hour often establishes the day's trading range. Extensions beyond IB may indicate trend day development. 3. BREAKOUT CONFIRMATION METHODS The system offers three confirmation methods: A. Close Beyond Range (Default): Bullish: Close > ORB High Bearish: Close < ORB Low Most balanced approach - requires bar to close beyond level. B. Wick Beyond Range: Bullish: High > ORB High Bearish: Low < ORB Low Most sensitive - any touch triggers. May generate more signals but higher false breakout rate. C. Body Beyond Range: Bullish: Min(Open, Close) > ORB High Bearish: Max(Open, Close) < ORB Low Most conservative - entire candle body must be beyond range. Volume Confirmation: Optional requirement that breakout occurs on above-average volume (default 1.5× 20-bar average). May filter weak breakouts lacking institutional participation. 4. MACHINE LEARNING PROBABILITY SCORING The system's key differentiator is ML-based breakout filtering using logistic regression. How It Works: Feature Extraction: When breakout candidate detected, system calculates: ORB Range / ATR (range size normalization) Volume Ratio (current vs. average) VWAP Distance × Direction (alignment) Gap Size × Direction (overnight gap influence) Bar Impulse (momentum strength) Probability Calculation: pContinue = Probability breakout continues pFail = Probability breakout fails and reverses Calculated via logistic regression: P = 1 / (1 + e^(-z)) where z = β₀ + β₁×Feature₁ + β₂×Feature₂ + ... Coefficient Examples (User Configurable): pContinue Model: Intercept: -0.20 (slight bearish bias) ORB Range/ATR: +0.80 (larger ranges favored) Volume Ratio: +0.60 (higher volume increases probability) VWAP Alignment: +0.50 (aligned with VWAP helps) pFail Model: Intercept: -0.30 (assumes most breakouts valid) Volume Ratio: -0.50 (low volume increases failure risk) VWAP Alignment: -0.90 (breaking away from VWAP risky) ML Gating: When enabled, breakout only signaled if: pContinue ≥ Minimum Threshold (default 55%) pFail ≤ Maximum Threshold (default 35%) This filtering aims to reduce false breakouts by requiring favorable probability scores. Model Training: Users should backtest and optimize coefficients for their specific instrument and timeframe. Default values are educational starting points, not guaranteed optimal parameters. Educational Note: ML models assume past feature relationships continue into the future. Market conditions may change in ways not captured by historical data. 5. FAILED BREAKOUT DETECTION & REVERSAL TRADING A unique feature is automatic detection of failed breakouts and generation of counter-trend reversal setups. Detection Logic: Failure Conditions: For Bullish Breakout that fails: - Initially broke above ORB High - After N bars (default 3), price closes back inside range - Must close below (ORB High - Buffer) - Buffer = ATR × 0.1 (default) For Bearish Breakout that fails: - Initially broke below ORB Low - After N bars, price closes back inside range - Must close above (ORB Low + Buffer) Automatic Reversal Entry: When failure detected, system automatically: Generates reversal entry at current close Sets stop loss beyond recent extreme + small buffer Projects 3 targets based on ORB range multiples Target Calculations: For failed bullish breakout (now SHORT): Entry = Close (when failure confirmed) Stop = Recent High + (ATR × 0.10) T1 = ORB High - (ORB Range × 0.5) // 50% retracement T2 = ORB High - (ORB Range × 1.0) // Full retracement T3 = ORB High - (ORB Range × 1.5) // Beyond opposite boundary Trade Lifecycle Management: The system tracks reversal trades in real-time through multiple states: State 0: No trade State 1: Breakout active (monitoring for failure) State 2: Breakout failed (not used currently) State 3: Reversal entry taken State 4: Target 1 hit State 5: Target 2 hit State 6: Target 3 hit State 7: Stopped out State 8: Complete Real-Time Tracking: MFE (Maximum Favorable Excursion): Best price achieved MAE (Maximum Adverse Excursion): Worst price against position Dynamic Lines & Labels: Visual updates as trade progresses Color Coding: Green for hit targets, gray for stopped trades Visual Feedback: Entry line (solid when active, dotted when stopped) Stop loss line (red dashed) Target lines (green when hit, gray when stopped) Labels update in real-time with status This complete lifecycle tracking provides educational insight into trade development and risk/reward realization. Educational Context: Failed breakouts are a recognized pattern in technical analysis. The theory is that trapped traders may need to exit, creating momentum in the opposite direction. However, not all failed breakouts result in profitable reversals. 6. EXTENSION TARGETS System projects Fibonacci-based extension levels beyond ORB boundaries. Bullish Extensions (Above ORB High): 1.272× (ORB High + ORB Range × 0.272) 1.5× (ORB High + ORB Range × 0.5) 1.618× (ORB High + ORB Range × 0.618) 2.0× (ORB High + ORB Range × 1.0) 2.618× (ORB High + ORB Range × 1.618) 3.0× (ORB High + ORB Range × 2.0) Bearish Extensions (Below ORB Low): Same multipliers applied below ORB Low Visual Representation: Dotted lines until reached Solid lines after price touches level Color coding (green for bullish, red for bearish) These serve as potential profit targets and key reference levels. 7. DAY TYPE CLASSIFICATION System attempts to classify trading day based on price movement relative to Initial Balance. Classification Logic: IB Extension = (Current Price - IB Boundary) / IB Range Day Types: Trend Day: Extension ≥ 1.5× IB Range - Strong directional movement - Price extends significantly beyond IB Normal Day: Extension between 0.5× and 1.5× - Moderate movement - Some extension but not extreme Rotation Day: Price stays within IB - Range-bound conditions - Limited directional conviction Historical Context: Day type classification comes from market profile analysis, suggesting different trading approaches for different conditions. However, classification is backward-looking and may change throughout the session. 8. VWAP INTEGRATION Volume-Weighted Average Price included as institutional reference level. Calculation: VWAP = Σ(Typical Price × Volume) / Σ(Volume) Typical Price = (High + Low + Close) / 3 Standard Deviation Bands: Band 1: VWAP ± 1.0 σ Band 2: VWAP ± 2.0 σ Usage: Alignment with VWAP may indicate institutional support Distance from VWAP factored into ML probability scoring Bands suggest potential overbought/oversold extremes Note: VWAP is widely used by institutional traders as a benchmark, but this does not guarantee its predictive value. 9. GAP ANALYSIS Tracks overnight gaps and fill statistics. Gap Detection: Gap Size = Open - Previous Close Classification: Gap Up: Gap > ATR × 0.1 Gap Down: Gap < -ATR × 0.1 No Gap: Otherwise Gap Fill Tracking: Monitors if price returns to previous close Calculates fill rate over time Displays previous close as reference level Historical Context: Market folklore suggests "gaps get filled," though statistical evidence varies by market and timeframe. 10. MOMENTUM CANDLE VISUALIZATION Optional colored boxes around candles showing position relative to ORB. Color Coding: Blue: Inside ORB range Green: Above ORB High (bullish momentum) Red: Below ORB Low (bearish momentum) Bright Green: Breakout bar Orange: Failed breakout bar Gray: Stopped out bar Lime: Target hit bar Provides quick visual context of price location and key events. DISPLAY MODES Three complexity levels to suit different user preferences: SIMPLE MODE Minimal display focusing on essentials: ✓ Primary ORB levels (High, Low, Mid) ✓ Basic breakout signals ✓ Essential dashboard metrics ✗ No session ORBs ✗ No IB analysis ✗ No extensions Best for: Clean charts, beginners, focus on core ORB only STANDARD MODE Balanced feature set: ✓ Primary ORB levels ✓ Initial Balance with extensions ✓ Session ORBs (Asian, London, NY) ✓ VWAP with bands ✓ Breakout and reversal signals ✓ Gap analysis ✗ Detailed statistics Best for: Most traders, good balance of information and clarity ADVANCED MODE Full feature set: ✓ All Standard features ✓ ORB extensions (1.272×, 1.5×, 1.618×, 2.0×, etc.) ✓ Complete statistics dashboard ✓ Detailed performance metrics ✓ All visual enhancements Best for: Experienced users, research, full analysis DASHBOARD INTERPRETATION Main Dashboard Sections: ORB Status: Status: Complete / Building / Waiting Range: Actual range size in price units Trade State: State: Current trade status (see 8 states above) Vol: Volume confirmation (Confirmed / Low) Targets (when reversal active): T1, T2, T3: Hit / Pending / Stopped Color: Green = hit, Gray = pending or stopped ML Section (when enabled): ML: ON Pass / ON Reject / OFF pC/pF: Probability scores as percentages Setup: Action: LONG / SHORT / REVERSAL / FADE / WAIT Grade: A+ to D based on confidence Status: ACTIVE / STOPPED / T1 HIT / etc. Conf: Confidence percentage Context: Bias: Overall market direction assessment VWAP: Above / Below / At VWAP Gap: Gap type and fill status Statistics (Advanced Mode): Bull WR: Bullish breakout win rate Bear WR: Bearish breakout win rate Rev WR: Reversal trade win rate Rev Count: Total reversals taken Narrative Dashboard: Plain-language interpretation: Phase: Building ORB / Trading Phase / Pre-market Status: Current market state in plain English ML: Probability scores Setup: Trade recommendation with grade All metrics based on historical simulation, not live trading results. USAGE GUIDELINES - EDUCATIONAL EXAMPLES Getting Started: Step 1: Chart Setup Add indicator to chart Select appropriate timeframe (1-5 min recommended for ORB trading) Choose display mode (start with Standard) Step 2: Opening Range Formation During first 30 minutes (9:30-10:00 ET default) Watch ORB High/Low levels form Note range size relative to ATR Step 3: Breakout Monitoring After ORB complete, watch for breakout candidates Check ML scores if enabled Verify volume confirmation Step 4: Signal Evaluation Consider confidence grade Review trade state and targets Evaluate risk/reward ratio Interpreting ML Scores: Example 1: High Probability Breakout Breakout: Bullish pContinue: 72% pFail: 18% ML Status: Pass Grade: A Interpretation: - High continuation probability - Low failure probability - Passes ML filter - May warrant consideration Example 2: Rejected Breakout Breakout: Bearish pContinue: 48% pFail: 52% ML Status: Reject Grade: D Interpretation: - Low continuation probability - High failure probability - ML filter blocks signal - Small 'X' marker shows rejection Note: ML scores are mathematical outputs based on historical data. They do not guarantee outcomes. Reversal Trade Example: Scenario: 9:45 AM: Bullish breakout above ORB High 9:46 AM: Price extends to +0.8× ORB range 9:48 AM: Price reverses, closes back below ORB High 9:49 AM: Failure confirmed (3 bars inside range) System Response: - Marks failed breakout with 'FAIL' label - Generates SHORT reversal entry - Sets stop above recent high - Projects 3 targets - Trade State → 3 (Reversal Active) - Entry line and targets display Potential Outcomes: - Stop hit → State 7 (Stopped), lines gray out - T1 hit → State 4, T1 line turns green - T2 hit → State 5, T2 line turns green - T3 hit → State 6, T3 line turns green All tracked in real-time with visual updates. Risk Management Considerations: Position Sizing Example: Account: $25,000 Risk per trade: 1% = $250 Stop distance: 1.5 ATR = $150 per share Position size: $250 / $150 = 1.67 shares (round to 1) Stop Loss Guidelines: Breakout trades: ORB midpoint or opposite boundary Reversal trades: System-provided stop (recent extreme + buffer) Never widen system stops Target Management: Consider scaling out at T1, T2, T3 Trail stops after T1 reached Full exit if stopped These are educational examples, not recommendations. Users must develop their own risk management based on personal tolerance and account size. OPTIMIZATION SUGGESTIONS For Stock Indices (ES, NQ): Suggested Settings: ORB Timeframe: 30 minutes Confirmation: Close Volume Filter: ON (1.5×) ML Filter: ON Display Mode: Standard Rationale: 30-min ORB standard for equity indices Close confirmation balances speed and reliability Volume important for institutional participation ML helps filter noise Historical Observation: Indices often respect ORB levels during regular hours. For Individual Stocks: Suggested Settings: ORB Timeframe: 5-15 minutes Confirmation: Close or Body Volume Filter: ON (1.8-2.0×) RTH Only: ON Failed Breakouts: ON Rationale: Shorter ORB may be appropriate for volatile stocks Volume critical to filter low-liquidity moves RTH avoids pre-market noise Failed breakouts common in stocks For Forex: Suggested Settings: ORB Timeframe: 60 minutes Session ORBs: ON (Asian, London) Volume Filter: OFF or low threshold 24-hour mode: ON Rationale: Forex trades 24 hours, need session awareness Volume data less reliable in forex Longer ORB for slower forex movement For Crypto: Suggested Settings: ORB Timeframe: 30-60 minutes Confirmation: Body (more conservative) Volume Filter: ON (2.0×+) Display Mode: Advanced Rationale: High volatility requires conservative confirmation Volume crucial to distinguish real moves from noise 24-hour market benefits from multiple session ORBs ML COEFFICIENT TUNING Users can optimize ML model coefficients through backtesting. Approach: Data Collection: Review rejected breakouts - were they correct to reject? Pattern Analysis: Which features correlate with success/failure? Coefficient Adjustment: Increase weights for predictive features Threshold Tuning: Adjust minimum pContinue and maximum pFail Validation: Test on out-of-sample data Example Optimization: If finding: High-volume breakouts consistently succeed Low-volume breakouts often fail Action: Increase pCont w(Volume Ratio) from 0.60 to 0.80 Increase pFail w(Volume Ratio) magnitude (more negative) If finding: VWAP alignment highly predictive Gap direction not helpful Action: Increase pCont w(VWAP Distance×Dir) from 0.50 to 0.70 Decrease pCont w(Gap×Dir) toward 0.0 Important: Optimization should be done on historical data and validated on out-of-sample periods. Overfitting to past data does not guarantee future performance. STATISTICS & PERFORMANCE TRACKING System maintains comprehensive statistics: Breakout Statistics: Total Days: Number of trading days analyzed Bull Breakouts: Total bullish breakouts Bull Wins: Breakouts that reached 2.0× extension Bull Win Rate: Percentage that succeeded Bear Breakouts: Total bearish breakouts Bear Wins: Breakouts that reached 2.0× extension Bear Win Rate: Percentage that succeeded Reversal Statistics: Reversals Taken: Total failed breakouts traded T1 Hit: Number reaching first target T2 Hit: Number reaching second target T3 Hit: Number reaching third target Stopped: Number stopped out Reversal Win Rate: Percentage reaching at least T1 Day Type Statistics: Trend Days: Days with 1.5×+ IB extension Normal Days: Days with 0.5-1.5× extension Rotation Days: Days staying within IB Extension Statistics: Average Extension: Mean extension level reached Max Extension: Largest extension observed Gap Statistics: Total Gaps: Number of significant gaps Gaps Filled: Number that filled during session Gap Fill Rate: Percentage filled Note: All statistics based on indicator's internal simulation logic, not actual trading results. Past statistics do not predict future outcomes. ALERTS Customizable alert system for key events: Available Alerts: Breakout Alert: Trigger: Initial breakout above/below ORB Message: Direction, price, volume status, ML scores, grade Frequency: Once per bar Failed Breakout Alert: Trigger: Breakout failure detected Message: Reversal setup with entry, stop, and 3 targets Frequency: Once per bar Extension Alert: Trigger: Price reaches extension level Message: Extension multiple and price level Frequency: Once per bar per level IB Break Alert: Trigger: Price breaks Initial Balance Message: Potential trend day warning Frequency: Once per bar Reversal Stopped Alert: Trigger: Reversal trade hits stop loss Message: Stop level and original entry Frequency: Once per bar Target Hit Alert: Trigger: T1, T2, or T3 reached Message: Which target and price level Frequency: Once per bar Users can enable/disable alerts individually based on preferences. VISUAL CUSTOMIZATION Extensive visual options: Color Schemes: All colors fully customizable: ORB High, Low, Mid colors Extension colors (bull/bear) IB colors VWAP colors Momentum box colors Session ORB colors Display Options: Line widths (1-5 pixels) Box transparencies (50-95%) Fill transparencies (80-98%) Momentum box transparency Label Behavior: Label Modes: All: Always show all labels Adaptive: Fade labels far from price Minimal: Only show labels very close to price Label Proximity: Adjustable threshold (1.0-5.0× ATR) Labels beyond threshold fade or hide Reduces clutter on wide-range charts Gradient Fills: Optional gradient zones between levels: ORB High to Mid (bullish gradient) ORB Mid to Low (bearish gradient) Creates visual "heatmap" of tension FREQUENTLY ASKED QUESTIONS Q: What timeframe should I use? A: ORB methodology is typically applied to intraday charts. Suggestions: 1-5 min: Active trading, multiple setups per day 5-15 min: Balanced view, clearer signals 15-30 min: Higher timeframe confirmation The indicator works on any timeframe, but ORB is traditionally an intraday concept. Q: Do I need the ML filter enabled? A: This is a user choice: ML Enabled: Fewer signals Potentially higher quality (filters low-probability) Requires coefficient optimization More complex ML Disabled: More signals Simpler operation Traditional ORB approach May include lower-quality breakouts Consider paper trading both approaches to determine preference. Q: How should I interpret pContinue and pFail? A: These are probability estimates from the logistic regression model: pContinue 70% / pFail 25%: Model suggests favorable continuation odds pContinue 45% / pFail 55%: Model suggests breakout likely to fail pContinue 60% / pFail 35%: Borderline, depends on thresholds Remember: These are mathematical outputs based on historical feature relationships. They are not certainties. Q: Should I always take reversal trades? A: Reversal trades are optional setups. Considerations: Potential Advantages: Trapped traders may need to exit Clear stop loss levels Defined targets Potential Risks: Counter-trend trading Original breakout may resume Requires quick reaction Users should evaluate reversal setups like any other trade based on personal strategy and risk tolerance. Q: What if ORB range is very small? A: Small ranges may indicate: Low volatility session opening Potential for expansion later Less reliable breakout levels Considerations: Larger ranges often more significant Small ranges may need wider stops relative to range ORB Range/ATR ratio helps normalize The ML model includes this via the ORB Range/ATR feature. Q: Can I use this on stocks, forex, crypto? A: System is adaptable: Stocks: Designed primarily for stock indices and equities. Use RTH mode. Forex: Enable session ORBs. Volume filter less relevant. Adjust for 24-hour nature. Crypto: Very volatile. Consider conservative confirmation method (Body). Higher volume thresholds. Each market has unique characteristics. Extensive testing recommended. Q: How do I optimize ML coefficients? A: Systematic approach: Collect data on 50-100+ breakouts Note which succeeded/failed Analyze feature values for each Identify correlations Adjust coefficients to emphasize predictive features Validate on different time period Iterate Alternatively, use regression analysis on historical breakout data if you have programming skills. Q: What does "Stopped Out" mean for reversals? A: Reversal trade hit its stop loss: Price moved against reversal position Original breakout may have resumed Trade closed at loss Lines and labels gray out Trade State → 7 This is part of normal trading - not all reversals succeed. Q: Can I change ORB timeframe intraday? A: ORB timeframe setting affects the next day's ORB. Current day's ORB remains fixed. To see different ORB sizes, you would need to change setting and wait for next session. Q: Why do rejected breakouts show an 'X'? A: When "Mark Rejected Breakout Candidates" enabled: Small 'X' appears when ML filter rejects a breakout Shows where system prevented a signal Useful for model calibration Helps evaluate if ML making good decisions You can disable this marker if it creates clutter. ADVANCED CONCEPTS 1. Adaptive vs. Static ORB: Traditional ORB uses fixed time windows. This system adds adaptability through: ML probability scoring (adapts to current conditions) Multiple session ORBs (adapts to global markets) Failed breakout detection (adapts when setup fails) Real-time trade management (adapts as trade develops) This creates a more dynamic approach than simple static levels. 2. Confluence Scoring: System internally calculates confluence (agreement of factors): Breakout direction Volume confirmation VWAP alignment ML probability scores Gap direction Momentum strength Higher confluence typically results in higher grade (A+, A, B+, etc.). 3. Trade State Machine: The 8-state system provides complete trade lifecycle: State 0: Waiting → No setup State 1: Breakout → Monitoring for failure State 2: Failed → (transition state) State 3: Reversal Active → In counter-trend position State 4: T1 Hit → First target reached State 5: T2 Hit → Second target reached State 6: T3 Hit → Third target reached (full success) State 7: Stopped → Hit stop loss State 8: Complete → Trade resolved Each state has specific visual properties and logic. 4. Real-Time Performance Attribution: MFE/MAE tracking provides insight: Maximum Favorable Excursion (MFE): Best price achieved during trade Shows potential if optimal exit used Educational metric for exit strategy analysis Maximum Adverse Excursion (MAE): Worst price against position Shows drawdown during trade Helps evaluate stop placement These appear in Narrative Dashboard during active reversals. THEORETICAL FOUNDATIONS Why Opening Range Matters: Several theories support ORB methodology: 1. Information Incorporation: Opening period represents initial consensus on overnight news and pre-market sentiment. Range boundaries may reflect this information. 2. Order Flow: Institutional traders often execute during opening period, establishing supply/demand zones. 3. Behavioral Finance: Traders psychologically anchor to opening range levels. Self-fulfilling prophecy may strengthen these levels. 4. Market Microstructure: Opening auction establishes price discovery. Breaks beyond may indicate new information or momentum. Academic Note: While ORB is widely used, academic evidence on its effectiveness varies. Like all technical analysis, it should be evaluated empirically for each specific application. Machine Learning in Trading: This system uses supervised learning (logistic regression): Advantages: Interpretable (can see feature weights) Fast calculation Probabilistic output Well-understood mathematically Limitations: Assumes linear relationships Requires feature engineering Needs periodic retraining Not adaptive to regime changes automatically More sophisticated ML (neural networks, ensemble methods) could potentially improve performance but at cost of interpretability and speed. Failed Breakouts & Market Psychology: Failed breakout trading exploits several concepts: 1. Stop Hunting: Large players may push price to trigger stops, then reverse. 2. False Breakouts: Insufficient conviction leads to failed breakout and quick reversal. 3. Trapped Traders: Those who entered breakout now forced to exit, creating momentum opposite direction. 4. Mean Reversion: After failed directional attempt, price may revert to range or beyond. These are theoretical frameworks, not guaranteed patterns. BEST PRACTICES - EDUCATIONAL SUGGESTIONS 1. Paper Trade Extensively: Before live trading: Test on historical data Forward test in real-time (paper) Evaluate statistics over 50+ occurrences Understand system behavior in different conditions 2. Start with Simple Mode: Initial learning: Use Simple or Standard mode Focus on primary ORB only Master basic breakout interpretation Add features incrementally 3. Optimize ML Coefficients: If using ML filter: Backtest on your specific instrument Note which features predictive Adjust coefficients systematically Validate on out-of-sample data Re-optimize periodically 4. Respect Risk Management: Always: Define maximum risk per trade (1-2% recommended) Use system-provided stops Size positions appropriately Never override stops wider Keep statistics of your actual trading b]5. Understand Context: Consider: Is it a trending or ranging market? What's the day type developing? Is volume confirming moves? Are you aligned with VWAP? What's the overall market condition? Context may inform which setups to emphasize. 6. Journal Results: Track: Which setup types work best for you Your execution quality Emotional responses to different scenarios Missed opportunities and why Losses and lessons Systematic journaling improves over time. FINAL EDUCATIONAL SUMMARY ORB Fusion ML combines traditional Opening Range Breakout methodology with modern enhancements: ✓ ML Probability Scoring: Filters breakouts using logistic regression ✓ Failed Breakout Detection: Automatic reversal trade generation ✓ Complete Trade Management: Real-time tracking with visual updates ✓ Multi-Session Support: Asian, London, NY ORBs for global markets ✓ Institutional Reference: VWAP and Initial Balance integration ✓ Comprehensive Statistics: Track performance across breakout types ✓ Full Customization: Three display modes, extensive visual options ✓ Educational Transparency: Dashboard shows all relevant metrics This is an educational tool demonstrating advanced ORB concepts. Critical Reminders: The system: ✓ Identifies potential ORB breakout and reversal setups ✓ Provides ML-based probability estimates ✓ Tracks trades through complete lifecycle ✓ Offers comprehensive performance statistics Users must understand: ✓ No system guarantees profitable results ✓ Past performance does not predict future results ✓ All indicators require proper risk management ✓ Paper trading essential before live trading ✓ Market conditions change unpredictably ✓ This is educational software, not financial advice Success requires: Proper education, disciplined risk management, realistic expectations, personal responsibility for all trading decisions, and understanding that indicators are tools, not crystal balls. For Educational Use Only - ORB Fusion ML Development Staff ⚠️ FINAL DISCLAIMER This indicator and documentation are provided strictly for educational and informational purposes. NOT FINANCIAL ADVICE: Nothing in this guide constitutes financial advice, investment advice, trading advice, or any recommendation to buy or sell any security or engage in any trading strategy. NO GUARANTEES: No representation is made that any account will or is likely to achieve profits or losses similar to those shown. The statistics, probabilities, and examples are from historical backtesting and do not represent actual trading results. SUBSTANTIAL RISK: Trading involves substantial risk of loss and is not suitable for every investor. The high degree of leverage can work against you as well as for you. YOUR RESPONSIBILITY: You are solely responsible for your own trading decisions. You should conduct your own research, perform your own analysis, paper trade extensively, and consult with qualified financial advisors before making any trading decisions. NO LIABILITY: The developers, contributors, and distributors of this indicator disclaim all liability for any losses or damages, direct or indirect, that may result from use of this indicator or reliance on any information provided. PAPER TRADE FIRST: Users are strongly encouraged to thoroughly test this indicator in a paper trading environment before risking any real capital. By using this indicator, you acknowledge that you have read this disclaimer, understand the substantial risks involved in trading, and agree that you are solely responsible for your own trading decisions and their outcomes. Educational Software Only | Trade at Your Own Risk | Not Financial Advice Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Indicador Pine Script®
por DskyzInvestments
6
VMDM - Volume, Momentum & Divergence Master [BullByte]VMDM - Volume, Momentum and Divergence Master Educational Multi-Layer Market Structure Analysis System Multi-factor divergence engine that scores RSI momentum, volume pressure, and institutional footprints into one non-repainting confluence rating (0-100). WHAT THIS INDICATOR IS VMDM is an educational indicator designed to teach traders how to recognize high-probability reversal and continuation patterns by analyzing four independent market dimensions simultaneously. Instead of relying on a single indicator that may produce frequent false signals, VMDM creates a confluence-based scoring system that weights multiple confirmation factors, helping you understand which setups have stronger technical backing and which are lower quality. This is NOT a trading system or signal generator. It is a learning tool that visualizes complex market structure concepts in an accessible format for both coders and non-coders. THE PROBLEM IT SOLVES Most traders face these common challenges: Challenge 1 - Indicator Overload: Running RSI, volume analysis, and divergence detection separately creates chart clutter and conflicting signals. You waste time cross-referencing multiple windows trying to determine if all factors align. Challenge 2 - False Divergences: Standard divergence indicators trigger on every minor pivot, creating noise. Many divergences fail because they lack supporting evidence from volume or market structure. Challenge 3 - Missed Context: A bullish RSI divergence means nothing if it occurs during weak volume or in the middle of strong distribution. Context determines quality. Challenge 4 - Repainting Confusion: Many divergence scripts repaint, showing perfect historical signals that never actually triggered in real-time, leading to false confidence. Challenge 5 - Institutional Pattern Recognition: Absorption zones, stop hunts, and exhaustion patterns are taught in trading education but difficult to identify systematically without manual analysis. VMDM addresses all five challenges by combining complementary analytical layers into one transparent, non-repainting, confluence-weighted system with visual clarity. WHY THIS SPECIFIC COMBINATION - MASHUP JUSTIFICATION This indicator is NOT a random mashup of popular indicators. Each of the four layers serves a specific analytical purpose and together they create a complete market structure assessment framework. THE FOUR ANALYTICAL LAYERS LAYER 1 - RSI MOMENTUM DIVERGENCE (Trend Exhaustion Detection) Purpose: Identifies when price momentum is weakening before price itself reverses. Why RSI: The Relative Strength Index measures momentum on a bounded 0-100 scale, making divergence detection mathematically consistent across all assets and timeframes. Unlike raw price oscillators, RSI normalizes momentum regardless of volatility regime. How It Contributes: Divergence between price pivots and RSI pivots reveals early momentum exhaustion. A lower price low with a higher RSI low (bullish regular divergence) signals sellers are losing strength even as price makes new lows. This is the PRIMARY signal generator in VMDM. Limitation If Used Alone: RSI divergence by itself produces many false signals because momentum can remain weak during continued trends. It needs confirmation from volume and structural evidence. LAYER 2 - VOLUME PRESSURE ANALYSIS (Buying vs Selling Intensity) Purpose: Quantifies whether the current bar's volume reflects buying pressure or selling pressure based on where price closed within the bar's range. Methodology: Instead of just measuring volume size, VMDM calculates WHERE in the bar range the close occurred. A close near the high on high volume indicates strong buying absorption. A close near the low indicates selling pressure. The calculation accounts for wick size (wicks reduce pressure quality) and uses percentile ranking over a lookback period to normalize pressure strength on a 0-100 scale. Formula Concept: Buy Pressure = Volume × (Close - Low) / (High - Low) × Wick Quality Factor Sell Pressure = Volume × (High - Close) / (High - Low) × Wick Quality Factor Net Pressure = Buy Pressure - Sell Pressure Pressure Strength = Percentile Rank of Net Pressure over lookback period Why Percentile Ranking: Absolute volume varies by asset and session. Percentile ranking makes 85th percentile pressure on low-volume crypto comparable to 85th percentile pressure on high-volume forex. How It Contributes: When a bullish divergence occurs at a pivot low AND pressure strength is above 60 (strong buying), this adds 25 confluence points. It confirms that the divergence is occurring during actual accumulation, not just weak selling. Limitation If Used Alone: Pressure analysis shows current bar intensity but cannot identify trend exhaustion or reversal timing. High buying pressure can exist during a strong uptrend with no reversal imminent. LAYER 3 - BEHAVIORAL FOOTPRINT PATTERNS (Volume Anomaly Detection) CRITICAL DISCLAIMER: The terms "institutional footprint," "absorption," "stop hunt," and "exhaustion" used in this indicator are EDUCATIONAL LABELS for specific price and volume behavioral patterns. These patterns are detected through technical analysis of publicly available price, volume, and bar structure data. This indicator does NOT have access to actual institutional order flow, market maker data, broker stop-loss locations, or any non-public data source. These pattern names are used because they are common terminology in trading education to describe these technical behaviors. The analysis is interpretive and based on observable price action, not privileged information. Purpose: Detect volume anomalies and price patterns that historically correlate with potential reversal zones or trend continuation failure. Pattern Type 1 - Absorption (Labeled as "ACCUMULATION" or "DISTRIBUTION") Detection Criteria: Volume is more than 2x the moving average AND bar range is less than 50 percent of the average bar range. Interpretation: High volume compressed into a tight range suggests large participants are absorbing supply (accumulation) or distribution (distribution) without allowing price to move significantly. This often precedes directional moves once absorption completes. Visual: Colored box zone highlighting the absorption area. Pattern Type 2 - Stop Hunt (Labeled as "BULL HUNT" or "BEAR HUNT") Detection Criteria: Price penetrates a recent 10-bar high or low by a small margin (0.2 percent), then closes back inside the range on above-average volume (1.5x+). Interpretation: Price briefly spikes beyond recent structure (likely triggering stop losses placed just beyond obvious levels) then reverses. This is a classic false breakout pattern often seen before reversals. Visual: Label at the wick extreme showing hunt direction. Pattern Type 3 - Exhaustion (Labeled as "SELL EXHAUST" or "BUY EXHAUST") Detection Criteria: Lower wick is more than 2.5x the body size with volume above 1.8x average and RSI below 35 (sell exhaustion), OR upper wick more than 2.5x body size with volume above 1.8x average and RSI above 65 (buy exhaustion). Interpretation: Large wicks with high volume and extreme RSI suggest aggressive buying or selling was met with equally aggressive rejection. This exhaustion often marks short-term extremes. Visual: Label showing exhaustion type. How These Contribute: When a divergence forms at a pivot AND one of these behavioral patterns is active, the confluence score increases by 20 points. This confirms the divergence is occurring during structural anomaly activity, not just normal price flow. Limitation If Used Alone: These patterns can occur mid-trend and do not indicate direction without momentum context. Absorption in a strong uptrend may just be continuation accumulation. LAYER 4 - CONFLUENCE SCORING MATRIX (Quality Weighting System) Purpose: Translate all detected conditions into a single 0-100 quality score so you can objectively compare setups. Scoring Breakdown: Divergence Present: +30 points (primary signal) Pressure Confirmation: +25 points (volume supports direction) Behavioral Footprint Active: +20 points (structural anomaly present) RSI Extreme: +15 points (RSI below 30 or above 70 at pivot) Volume Spike: +10 points (current volume above 1.5x average) Maximum Possible Score: 100 points Why These Weights: The weights reflect reliability hierarchy based on backtesting observation. Divergence is the core signal (30 points), but without volume confirmation (25 points) many fail. Behavioral patterns add meaningful context (20 points). RSI extremes and volume spikes are secondary confirmations (15 and 10 points). Quality Tiers: 90-100: TEXTBOOK (all factors aligned) 75-89: HIGH QUALITY (strong confluence) 60-74: VALID (meets minimum threshold) Below 60: DEVELOPING (not displayed unless threshold lowered) How It Contributes: The confluence score allows you to filter noise. You can set your minimum quality threshold in settings. Higher thresholds (75+) show fewer but higher-quality patterns. Lower thresholds (50-60) show more patterns but include lower-confidence setups. This teaches you to distinguish strong setups from weak ones. Limitation: Confluence scoring is historical observation-based, not predictive guarantee. A 95-point setup can still fail. The score represents technical alignment, not future certainty. WHY THIS COMBINATION WORKS TOGETHER Each layer addresses a limitation in the others: RSI Divergence identifies WHEN momentum is exhausting (timing) Volume Pressure confirms WHETHER the exhaustion is accompanied by opposite-side accumulation (confirmation) Behavioral Footprint shows IF structural anomalies support the reversal hypothesis (context) Confluence Scoring weights ALL factors into an objective quality metric (filtering) Using only RSI divergence gives you timing without confirmation. Using only volume pressure gives you intensity without directional context. Using only pattern detection gives you anomalies without trend exhaustion context. Using all four together creates a complete analytical framework where each layer compensates for the others' weaknesses. This is not a mashup for the sake of combining indicators. It is a structured analytical system where each component has a defined role in a multi-dimensional market assessment process. HOW TO READ THE INDICATOR - VISUAL ELEMENTS GUIDE VMDM displays up to five visual layer types. You can enable or disable each layer independently in settings under "Visual Layers." VISUAL LAYER 1 - MARKET STRUCTURE (Pivot Points and Lines) What You See: Small labels at swing highs and lows marked "PH" (Pivot High) and "PL" (Pivot Low) with horizontal dashed lines extending right from each pivot. What It Means: These are CONFIRMED pivots, not real-time. A pivot low appears AFTER the required right-side confirmation bars pass (default 3 bars). This creates a delay but prevents repainting. The pivot only appears once it is mathematically confirmed. The horizontal lines represent support (from pivot lows) and resistance (from pivot highs) levels where price previously found significant rejection. Color Coding: Green label and line: Pivot Low (potential support) Red label and line: Pivot High (potential resistance) How To Use: These pivots are the foundation for divergence detection. Divergence is only calculated between confirmed pivots, ensuring all signals are non-repainting. The lines help you see historical structure levels. VISUAL LAYER 2 - PRESSURE ZONES (Background Color) What You See: Subtle background color shading on bars - light green or light red tint. What It Means: This visualizes volume pressure strength in real-time. Color Coding: Light Green Background: Pressure Strength above 70 (strong buying pressure - price closing near highs on volume) Light Red Background: Pressure Strength below 30 (strong selling pressure - price closing near lows on volume) No Color: Neutral pressure (pressure between 30-70) How To Use: When a bullish divergence pattern appears during green pressure zones, it suggests the divergence is forming during accumulation. When a bearish divergence appears during red zones, distribution is occurring. Pressure zones help you filter divergences - those forming in supportive pressure environments have higher probability. VISUAL LAYER 3 - DIVERGENCE LINES (Dotted Connectors) What You See: Dotted lines connecting two pivot points (either two pivot lows or two pivot highs). What It Means: A divergence has been detected between those two pivots. The line connects the price pivots where RSI showed opposite behavior. Color Coding: Bright Green Line: Bullish divergence (regular or hidden) Bright Red Line: Bearish divergence (regular or hidden) How To Use: The divergence line appears ONLY after the second pivot is confirmed (delayed by right-side confirmation bars). This is intentional to prevent repainting. When you see the line appear, it means: For Bullish Regular Divergence: Price made a lower low (second pivot lower than first) RSI made a higher low (RSI at second pivot higher than first) Interpretation: Downtrend losing momentum For Bullish Hidden Divergence: Price made a higher low (second pivot higher than first) RSI made a lower low (RSI at second pivot lower than first) Interpretation: Uptrend continuation likely (pullback within uptrend) For Bearish Regular Divergence: Price made a higher high (second pivot higher than first) RSI made a lower high (RSI at second pivot lower than first) Interpretation: Uptrend losing momentum For Bearish Hidden Divergence: Price made a lower high (second pivot lower than first) RSI made a higher high (RSI at second pivot higher than first) Interpretation: Downtrend continuation likely (bounce within downtrend) If "Show Consolidated Analysis Label" is disabled, a small label will appear on the divergence line showing the divergence type abbreviation. VISUAL LAYER 4 - BEHAVIORAL FOOTPRINT MARKERS What You See: Boxes, labels, and markers at specific bars showing pattern detection. ABSORPTION ZONES (Boxes): Colored rectangular boxes spanning one or more bars. Purple Box: Accumulation absorption zone (high volume, tight range, bullish close) Red Box: Distribution absorption zone (high volume, tight range, bearish close) If absorption continues for multiple consecutive bars, the box extends and a counter appears in the label showing how many bars the absorption lasted. What It Means: Large volume is being absorbed without significant price movement. This often precedes directional breakouts once the absorption phase completes. STOP HUNT MARKERS (Labels): Small labels below or above wicks labeled "BULL HUNT" or "BEAR HUNT" (may show bar count if consecutive). What It Means: BULL HUNT : Price spiked below recent lows then reversed back up on volume - likely triggered sell stops before reversing BEAR HUNT : Price spiked above recent highs then reversed back down on volume - likely triggered buy stops before reversing EXHAUSTION MARKERS (Labels): Labels showing "SELL EXHAUST" or "BUY EXHAUST." What It Means: SELL EXHAUST : Large lower wick with high volume and low RSI - aggressive selling met with strong rejection BUY EXHAUST : Large upper wick with high volume and high RSI - aggressive buying met with strong rejection How To Use: These markers help you identify WHERE structural anomalies occurred. When a divergence signal appears AT THE SAME TIME as one of these patterns, the confluence score increases. You are looking for alignment - divergence + behavioral pattern + pressure confirmation = high-quality setup. VISUAL LAYER 5 - CONSOLIDATED ANALYSIS LABEL (Main Pattern Signal) What You See: A large label appearing at pivot points (or in real-time mode, at current bar) containing full pattern analysis. Label Appearance: Depending on your "Use Compact Label Format" setting: COMPACT MODE (Single Line): Example: "BULLISH REGULAR | Q:HIGH QUALITY C:82" Breakdown: BULLISH REGULAR: Divergence type detected Q:HIGH QUALITY: Pattern quality tier C:82: Confluence score (82 out of 100) FULL MODE (Multi-Line Detailed): Example: PATTERN DETECTED ------------------- BULLISH REGULAR Quality: HIGH QUALITY Price: Lower Low Momentum: Higher Low Signal: Weakening Downtrend CONFLUENCE: 82/100 ------------------- Divergence: 30 Pressure: 25 Institutional: 20 RSI Extreme: 0 Volume: 10 Breakdown: Top section: Pattern type and quality Middle section: Divergence explanation (what price did vs what RSI did) Bottom section: Confluence score with itemized breakdown showing which factors contributed Label Position: In Confirmed modes: Label appears AT the pivot point (delayed by confirmation bars) In Real-time mode: Label appears at current bar as conditions develop Label Color: Gold: Textbook quality (90+ confluence) Green: High quality (75-89 confluence) Blue: Valid quality (60-74 confluence) How To Use: This is your primary decision-making label. When it appears: Check the divergence type (regular divergences are reversal signals, hidden divergences are continuation signals) Review the quality tier (textbook and high quality have better historical win rates) Examine the confluence breakdown to see which factors are present and which are missing Look at the chart context (trend, support/resistance, timeframe) Use this information to assess whether the setup aligns with your strategy The label does NOT tell you to buy or sell. It tells you a technical pattern has formed and provides the quality assessment. Your trading decision must incorporate risk management, market context, and your strategy rules. UNDERSTANDING THE THREE DETECTION MODES VMDM offers three signal detection modes in settings to accommodate different trading styles and learning objectives. MODE 1: "Confluence Only (Real-Time)" How It Works: Displays signals AS THEY DEVELOP on the current bar without waiting for pivot confirmation. The system calculates confluence score from pressure, volume, RSI extremes, and behavioral patterns. Divergence signals are NOT required in this mode. Delay: ZERO - signals appear immediately. Use Case: Real-time scanning for high-confluence zones without divergence requirement. Useful for intraday traders who want immediate alerts when multiple factors align. Tradeoff: More frequent signals but includes setups without confirmed divergence. Higher false signal rate. Signals can change as the bar develops (not repainting in historical bars, but current bar updates). Visual Behavior: Labels appear at the current bar. No divergence lines unless divergence happens to be present. MODE 2: "Divergence + Confluence (Confirmed)" - DEFAULT RECOMMENDED How It Works: Full system engagement. Signals appear ONLY when: A pivot is confirmed (requires right-side confirmation bars to pass) Divergence is detected between current pivot and previous pivot Total confluence score meets or exceeds your minimum threshold Delay: Equal to your "Pivot Right Bars" setting (default 3 bars). This means signals appear 3 bars AFTER the actual pivot formed. Use Case: Highest-quality, non-repainting signals for swing traders and learners who want to study confirmed pattern completion. Tradeoff: Delayed signals. You will not receive the signal until confirmation occurs. In fast-moving markets, price may have already moved significantly by the time the signal appears. Visual Behavior: Labels appear at the historical pivot location (in the past). Divergence lines connect the two pivots. This is the most educational mode because it shows completed, confirmed patterns. Non-Repainting Guarantee: Yes. Once a signal appears, it never disappears or changes. MODE 3: "Divergence + Confluence (Relaxed)" How It Works: Same as Confirmed mode but with adaptive thresholds. If confluence is very high (10 points above threshold), the signal may appear even if some factors are weak. If divergence is present but confluence is slightly below threshold (within 10 points), it may still appear. Delay: Same as Confirmed mode (right-side confirmation bars). Use Case: Slightly more signals than Confirmed mode for traders willing to accept near-threshold setups. Tradeoff: More signals but lower average quality than Confirmed mode. Visual Behavior: Same as Confirmed mode. DASHBOARD GUIDE - READING THE METRICS The dashboard appears in the corner of your chart (position selectable in settings) and provides real-time market state analysis. You can choose between four dashboard detail levels in settings: Off, Compact, Optimized (default), Full. DASHBOARD ROW EXPLANATIONS ROW 1 - Header Information Left: Current symbol and timeframe Center: "VMDM " Right: Version number ROW 2 - Mode and Delay Shows which detection mode you are using and the signal delay. Example: "CONFIRMED | Delay: 3 bars" This reminds you that signals in confirmed mode appear 3 bars after the pivot forms. ROW 3 - Market Regime Format: "TREND UP HV" or "RANGING NV" First Part - Trend State: TREND UP: 20 EMA above 50 EMA with strong separation TREND DOWN: 20 EMA below 50 EMA with strong separation RANGING: EMAs close together, low trend strength TRANSITION: Between trending and ranging states Second Part - Volatility State: HV: High Volatility (current ATR more than 1.3x the 50-bar average ATR) NV: Normal Volatility (current ATR between 0.7x and 1.3x average) LV: Low Volatility (current ATR less than 0.7x average) Third Column: Volatility ratio (example: "1.45x" means current ATR is 1.45 times normal) How To Use: Regime context helps you interpret signals. Reversal divergences are more reliable in ranging or transitional regimes. Continuation divergences (hidden) are more reliable in trending regimes. High volatility means wider stops may be needed. ROW 4 - Pressure Shows current volume pressure state. Format: "BUYING | ██████████░░░░░░░░░" States: BUYING : Pressure strength above 60 (closes near highs) SELLING : Pressure strength below 40 (closes near lows) NEUTRAL : Pressure strength between 40-60 Bar Visualization: Each block represents 10 percentile points. A full bar (10 filled blocks) = 100th percentile pressure. Color: Green for buying, red for selling, gray for neutral. How To Use: When pressure aligns with divergence direction (bullish divergence during buying pressure), confluence is stronger. ROW 5 - Volume and RSI Format: "1.8x | RSI 68 | OB" First Value: Current volume ratio (1.8x = volume is 1.8 times the moving average) Second Value: Current RSI reading Third Value: RSI state OB: Overbought (RSI above 70) OS: Oversold (RSI below 30) Blank: Neutral RSI How To Use: Volume spikes (above 1.5x) during divergence formation add confluence. RSI extremes at pivots add confluence. ROW 6 - Behavioral Footprint Format: "BULL HUNT | 2 bars" Shows the most recent behavioral pattern detected and how long ago. States: ACCUMULATION / DISTRIBUTION: Absorption detected BULL HUNT / BEAR HUNT: Stop hunt detected SELL EXHAUST / BUY EXHAUST: Exhaustion detected SCANNING: No recent pattern NOW: Pattern is active on current bar How To Use: When footprint activity is recent (within 50 bars) or active now, it adds context to divergence signals forming in that area. ROW 7 - Current Pattern Shows the divergence type currently detected (if any). Examples: "BULLISH REGULAR", "BEARISH HIDDEN", "Scanning..." Quality: Shows pattern quality (TEXTBOOK, HIGH QUALITY, VALID) How To Use: This tells you what type of signal is active. Regular divergences are reversal setups. Hidden divergences are continuation setups. ROW 8 - Session Summary Format: "14 events | A3 H8 E3" First Value: Total institutional events this session Breakdown: A: Absorption events H: Stop hunt events E: Exhaustion events How To Use: High event counts suggest an active, volatile session with frequent structural anomalies. Low counts suggest quiet, orderly price action. ROW 9 - Confluence Score (Optimized/Full mode only) Format: "78/100 | ████████░░" Shows current real-time confluence score even if no pattern is confirmed yet. How To Use: Watch this in real-time to see how close you are to pattern formation. When it exceeds your threshold and divergence forms, a signal will appear (after confirmation delay). ROW 10 - Patterns Studied (Optimized/Full mode only) Format: "47 patterns | 12 bars ago" First Value: Total confirmed patterns detected since chart loaded Second Value: How many bars since the last confirmed pattern appeared How To Use: Helps you understand pattern frequency on your selected symbol and timeframe. If many bars have passed since last pattern, market may be trending without reversal opportunities. ROW 11 - Bull/Bear Ratio (Optimized/Full mode only) Format: "28:19 | BULL" Shows count of bullish vs bearish patterns detected. Balance: BULL: More bullish patterns detected (suggests market has had more bullish reversals/continuations) BEAR: More bearish patterns detected BAL: Equal counts How To Use: Extreme imbalances can indicate directional bias in the studied period. A heavily bullish ratio in a downtrend might suggest frequent failed rallies (bearish continuation). Context matters. ROW 12 - Volume Ratio Detail (Optimized/Full mode only) Shows current volume vs average volume in absolute terms. Example: "1.4x | 45230 / 32300" How To Use: Confirms whether current activity is above or below normal. ROW 13 - Last Institutional Event (Full mode only) Shows the most recent institutional pattern type and how many bars ago it occurred. Example: "DISTRIBUTION | 23 bars" How To Use: Tracks recency of last anomaly for context. SETTINGS GUIDE - EVERY PARAMETER EXPLAINED PERFORMANCE SECTION Enable All Visuals (Master Toggle) Default: ON What It Does: Master kill switch for ALL visual elements (labels, lines, boxes, background colors, dashboard). When OFF, only plot outputs remain (invisible unless you open data window). When To Change: Turn OFF on mobile devices, 1-second charts, or slow computers to improve performance. You can still receive alerts even with visuals disabled. Impact: Dramatic performance improvement when OFF, but you lose all visual feedback. Maximum Object History Default: 50 | Range: 10-100 What It Does: Limits how many of each object type (labels, lines, boxes) are kept in memory. Older objects beyond this limit are deleted. When To Change: Lower to 20-30 on fast timeframes (1-minute charts) to prevent slowdown. Increase to 100 on daily charts if you want more historical pattern visibility. Impact: Lower values = better performance but less historical visibility. Higher values = more history visible but potential slowdown on fast timeframes. Alert Cooldown (Bars) Default: 5 | Range: 1-50 What It Does: Minimum number of bars that must pass before another alert of the same type can fire. Prevents alert spam when multiple patterns form in quick succession. When To Change: Increase to 20+ on 1-minute charts to reduce noise. Decrease to 1-2 on daily charts if you want every pattern alerted. Impact: Higher cooldown = fewer alerts. Lower cooldown = more alerts. USER EXPERIENCE SECTION Show Enhanced Tooltips Default: ON What It Does: Enables detailed hover-over tooltips on labels and visual elements. When To Change: Turn OFF if you encounter Pine Script compilation errors related to tooltip arguments (rare, platform-specific issue). Impact: Minimal. Just adds helpful hover text. MARKET STRUCTURE DETECTION SECTION Pivot Left Bars Default: 3 | Range: 2-10 What It Does: Number of bars to the LEFT of the center bar that must be higher (for pivot low) or lower (for pivot high) than the center bar for a pivot to be valid. Example: With value 3, a pivot low requires the center bar's low to be lower than the 3 bars to its left. When To Change: Increase to 5-7 on noisy timeframes (1-minute charts) to filter insignificant pivots Decrease to 2 on slow timeframes (daily charts) to catch more pivots Impact: Higher values = fewer, more significant pivots = fewer signals. Lower values = more frequent pivots = more signals but more noise. Pivot Right Bars Default: 3 | Range: 2-10 What It Does: Number of bars to the RIGHT of the center bar that must pass for confirmation. This creates the non-repainting delay. Example: With value 3, a pivot is confirmed 3 bars AFTER it forms. When To Change: Increase to 5-7 for slower, more confirmed signals (better for swing trading) Decrease to 2 for faster signals (better for intraday, but still non-repainting) Impact: Higher values = longer delay but more reliable confirmation. Lower values = faster signals but less confirmation. This setting directly controls your signal delay in Confirmed and Relaxed modes. Minimum Confluence Score Default: 60 | Range: 40-95 What It Does: The threshold score required for a pattern to be displayed. Patterns with confluence scores below this threshold are not shown. When To Change: Increase to 75+ if you only want high-quality textbook setups (fewer signals) Decrease to 50-55 if you want to see more developing patterns (more signals, lower average quality) Impact: This is your primary signal filter. Higher threshold = fewer, higher-quality signals. Lower threshold = more signals but includes weaker setups. Recommended starting point is 60-65. TECHNICAL PERIODS SECTION RSI Period Default: 14 | Range: 5-50 What It Does: Lookback period for RSI calculation. When To Change: Decrease to 9-10 for faster, more sensitive RSI that detects shorter-term momentum changes Increase to 21-28 for slower, smoother RSI that filters noise Impact: Lower values make RSI more volatile (more frequent extremes and divergences). Higher values make RSI smoother (fewer but more significant divergences). 14 is industry standard. Volume Moving Average Period Default: 20 | Range: 10-200 What It Does: Lookback period for calculating average volume. Current volume is compared to this average to determine volume ratio. When To Change: Decrease to 10-14 for shorter-term volume comparison (more sensitive to recent volume changes) Increase to 50-100 for longer-term volume comparison (smoother, less sensitive) Impact: Lower values make volume ratio more volatile. Higher values make it more stable. 20 is standard. ATR Period Default: 14 | Range: 5-100 What It Does: Lookback period for Average True Range calculation used for volatility measurement and label positioning. When To Change: Rarely needs adjustment. Use 7-10 for faster volatility response, 21-28 for slower. Impact: Affects volatility ratio calculation and visual label spacing. Minimal impact on signals. Pressure Percentile Lookback Default: 50 | Range: 10-300 What It Does: Lookback period for calculating volume pressure percentile ranking. Your current pressure is ranked against the pressure of the last X bars. When To Change: Decrease to 20-30 for shorter-term pressure context (more responsive to recent changes) Increase to 100-200 for longer-term pressure context (smoother rankings) Impact: Lower values make pressure strength more sensitive to recent bars. Higher values provide more stable, long-term pressure assessment. Capped at 300 for performance reasons. SIGNAL DETECTION SECTION Signal Detection Mode Default: "Divergence + Confluence (Confirmed)" Options: Confluence Only (Real-time) Divergence + Confluence (Confirmed) Divergence + Confluence (Relaxed) What It Does: Selects which detection logic mode to use (see "Understanding The Three Detection Modes" section above). When To Change: Use Confirmed for learning and non-repainting signals. Use Real-time for live scanning without divergence requirement. Use Relaxed for slightly more signals than Confirmed. Impact: Fundamentally changes when and how signals appear. VISUAL LAYERS SECTION All toggles default to ON. Each controls visibility of one visual layer: Show Market Structure: Pivot markers and support/resistance lines Show Pressure Zones: Background color shading Show Divergence Lines: Dotted lines connecting pivots Show Institutional Footprint Markers: Absorption boxes, hunt labels, exhaustion labels Show Consolidated Analysis Label: Main pattern detection label Use Compact Label Format Default: OFF What It Does: Switches consolidated label between single-line compact format and multi-line detailed format. When To Change: Turn ON if you find full labels too large or distracting. Impact: Visual clarity vs. information density tradeoff. DASHBOARD SECTION Dashboard Mode Default: "Optimized" Options: Off, Compact, Optimized, Full What It Does: Controls how much information the dashboard displays. Off: No dashboard Compact: 8 rows (essential metrics only) Optimized: 12 rows (recommended balance) Full: 13 rows (every available metric) Dashboard Position Default: "Top Right" Options: Top Right, Top Left, Bottom Right, Bottom Left What It Does: Screen corner where dashboard appears. HOW TO USE VMDM - PRACTICAL WORKFLOW STEP 1 - INITIAL SETUP Add VMDM to your chart Select your detection mode (Confirmed recommended for learning) Set your minimum confluence score (start with 60-65) Adjust pivot parameters if needed (default 3/3 is good for most timeframes) Enable the visual layers you want to see STEP 2 - CHART ANALYSIS Let the indicator load and analyze historical data Review the patterns that appear historically Examine the confluence scores - notice which patterns had higher scores Observe which patterns occurred during supportive pressure zones Notice the divergence line connections - understand what price vs RSI did STEP 3 - PATTERN RECOGNITION LEARNING When a consolidated analysis label appears: Read the divergence type (regular or hidden, bullish or bearish) Check the quality tier (textbook, high quality, or valid) Review the confluence breakdown - which factors contributed Look at the chart context - where is price relative to structure, trend, etc. Observe the behavioral footprint markers nearby - do they support the pattern STEP 4 - REAL-TIME MONITORING Watch the dashboard for real-time regime and pressure state Monitor the current confluence score in the dashboard When it approaches your threshold, be alert for potential pattern formation When a new pattern appears (after confirmation delay), evaluate it using the workflow above Use your trading strategy rules to decide if the setup aligns with your criteria STEP 5 - POST-PATTERN OBSERVATION After a pattern appears: Mark the level on your chart Observe what price does after the pattern completes Did price respect the reversal/continuation signal What was the confluence score of patterns that worked vs. those that failed Learn which quality tiers and confluence levels produce better results on your specific symbol and timeframe RECOMMENDED TIMEFRAMES AND ASSET CLASSES VMDM is timeframe-agnostic and works on any asset with volume data. However, optimal performance varies: BEST TIMEFRAMES 15-Minute to 1-Hour: Ideal balance of signal frequency and reliability. Pivot confirmation delay is acceptable. Sufficient volume data for pressure analysis. 4-Hour to Daily: Excellent for swing trading. Very high-quality signals. Lower frequency but higher significance. Recommended for learning because patterns are clearer. 1-Minute to 5-Minute: Works but requires adjustment. Increase pivot bars to 5-7 for filtering. Decrease max object history to 30 for performance. Expect more noise. Weekly/Monthly: Works but very infrequent signals. Increase confluence threshold to 70+ to ensure only major patterns appear. BEST ASSET CLASSES Forex Majors: Excellent volume data and clear trends. Pressure analysis works well. Crypto (Major Pairs): Good volume data. High volatility makes divergences more pronounced. Works very well. Stock Indices (SPY, QQQ, etc.): Excellent. Clean price action and reliable volume. Individual Stocks: Works well on high-volume stocks. Low-volume stocks may produce unreliable pressure readings. Commodities (Gold, Oil, etc.): Works well. Clear trends and reactions. WHAT THIS INDICATOR CANNOT DO - LIMITATIONS LIMITATION 1 - It Does Not Predict The Future VMDM identifies when technical conditions align historically associated with potential reversals or continuations. It does not predict what will happen next. A textbook 95-confluence pattern can still fail if fundamental events, news, or larger timeframe structure override the setup. LIMITATION 2 - Confirmation Delay Means You Miss Early Entry In Confirmed and Relaxed modes, the non-repainting design means you receive signals AFTER the pivot is confirmed. Price may have already moved significantly by the time you receive the signal. This is the tradeoff for non-repainting reliability. You can use Real-time mode for faster signals but sacrifice divergence confirmation. LIMITATION 3 - It Does Not Tell You Position Sizing or Risk Management VMDM provides technical pattern analysis. It does not calculate stop loss levels, take profit targets, or position sizing. You must apply your own risk management rules. Never risk more than you can afford to lose based on a technical signal. LIMITATION 4 - Volume Pressure Analysis Requires Reliable Volume Data On assets with thin volume or unreliable volume reporting, pressure analysis may be inaccurate. Stick to major liquid assets with consistent volume data. LIMITATION 5 - It Cannot Detect Fundamental Events VMDM is purely technical. It cannot predict earnings reports, central bank decisions, geopolitical events, or other fundamental catalysts that can override technical patterns. LIMITATION 6 - Divergence Requires Two Pivots The indicator cannot detect divergence until at least two pivots of the same type have formed. In strong trends without pullbacks, you may go long periods without signals. LIMITATION 7 - Institutional Pattern Names Are Interpretive The behavioral footprint patterns are named using common trading education terminology, but they are detected through technical analysis, not actual institutional data access. The patterns are interpretations based on price and volume behavior. CONCEPT FOUNDATION - WHY THIS APPROACH WORKS MARKET PRINCIPLE 1 - Momentum Divergence Precedes Price Reversal Price is the final output of market forces, but momentum (the rate of change in those forces) shifts first. When price makes a new low but the momentum behind that move is weaker (higher RSI low), it signals that sellers are losing strength even though they temporarily pushed price lower. This precedes reversal. This is a fundamental principle in technical analysis taught by Charles Dow, widely observed in market behavior. MARKET PRINCIPLE 2 - Volume Reveals Conviction Price can move on low volume (low conviction) or high volume (high conviction). When price makes a new low on declining volume while RSI shows improving momentum, it suggests the new low is not confirmed by participant conviction. Adding volume pressure analysis to momentum divergence adds a confirmation layer that filters false divergences. MARKET PRINCIPLE 3 - Anomalies Mark Structural Extremes When volume spikes significantly but range contracts (absorption), or when price spikes beyond structure then reverses (stop hunt), or when aggressive moves are met with large-wick rejection (exhaustion), these anomalies often mark short-term extremes. Combining these structural observations with momentum analysis creates context. MARKET PRINCIPLE 4 - Confluence Improves Probability No single technical factor is reliable in isolation. RSI divergence alone fails frequently. Volume analysis alone cannot time entries. Combining multiple independent factors into a weighted system increases the probability that observed patterns have structural significance rather than random noise. THE EDUCATIONAL VALUE By visualizing all four layers simultaneously and breaking down the confluence scoring transparently, VMDM teaches you to think in terms of multi-dimensional analysis rather than single-indicator reliance. Over time, you will learn to recognize these patterns manually and understand which combinations produce better results on your traded assets. INSTITUTIONAL TERMINOLOGY - IMPORTANT CLARIFICATION This indicator uses the following terms that are common in trading education: Institutional Footprint Absorption (Accumulation / Distribution) Stop Hunt Exhaustion CRITICAL DISCLAIMER: These terms are EDUCATIONAL LABELS for specific price action and volume behavior patterns detected through technical analysis of publicly available chart data (open, high, low, close, volume). This indicator does NOT have access to: Actual institutional order flow or order book data Market maker positions or intentions Broker stop-loss databases Non-public trading data Proprietary institutional information The patterns labeled as "institutional footprint" are interpretations based on observable price and volume behavior that educational trading literature often associates with potential large-participant activity. The detection is algorithmic pattern recognition, not privileged data access. When this indicator identifies "absorption," it means it detected high volume within a small range - a condition that MAY indicate large orders being filled but is not confirmation of actual institutional participation. When it identifies a "stop hunt," it means price briefly penetrated a structural level then reversed - a pattern that MAY have triggered stop losses but is not confirmation that stops were specifically targeted. When it identifies "exhaustion," it means high volume with large rejection wicks - a pattern that MAY indicate aggressive participation meeting strong opposition but is not confirmation of institutional involvement. These are technical analysis interpretations, not factual statements about market participant identity or intent. DISCLAIMER AND RISK WARNING EDUCATIONAL PURPOSE ONLY This indicator is designed as an educational tool to help traders learn to recognize technical patterns, understand multi-factor analysis, and practice systematic market observation. It is NOT a trading system, signal service, or financial advice. NO PERFORMANCE GUARANTEE Past pattern behavior does not guarantee future results. A pattern that historically preceded price movement in one direction may fail in the future due to changing market conditions, fundamental events, or random variance. Confluence scores reflect historical technical alignment, not future certainty. TRADING INVOLVES SUBSTANTIAL RISK Trading financial instruments involves substantial risk of loss. You can lose more than your initial investment. Never trade with money you cannot afford to lose. Always use proper risk management including stop losses, position sizing, and portfolio diversification. NO PREDICTIVE CLAIMS This indicator does NOT predict future price movement. It identifies when technical conditions align in patterns that historically have been associated with potential reversals or continuations. Market behavior is probabilistic, not deterministic. BACKTESTING LIMITATIONS If you backtest trading strategies using this indicator, ensure you account for: Realistic commission costs Realistic slippage (difference between signal price and actual fill price) Sufficient sample size (minimum 100 trades for statistical relevance) Reasonable position sizing (risking no more than 1-2 percent of account per trade) The confirmation delay inherent in the indicator (you cannot enter at the exact pivot in Confirmed mode) Backtests that do not account for these factors will produce unrealistic results. AUTHOR LIABILITY The author (BullByte) is not responsible for any trading losses incurred using this indicator. By using this indicator, you acknowledge that all trading decisions are your sole responsibility and that you understand the risks involved. NOT FINANCIAL ADVICE Nothing in this indicator, its code, its description, or its visual outputs constitutes financial, investment, or trading advice. Consult a licensed financial advisor before making investment decisions. FREQUENTLY ASKED QUESTIONS Q: Why do signals appear in the past, not at the current bar A: In Confirmed and Relaxed modes, signals appear at confirmed pivots, which requires waiting for right-side confirmation bars (default 3). This creates a delay but prevents repainting. Use Real-time mode if you want current-bar signals without pivot confirmation. Q: Can I use this for automated trading A: You can create alert-based automation, but understand that Confirmed mode signals appear AFTER the pivot with delay, so your entry will not be at the pivot price. Real-time mode signals can change as the current bar develops. Automation requires careful consideration of these factors. Q: How do I know which confluence score to use A: Start with 60. Observe which patterns work on your symbol/timeframe. If too many false signals, increase to 70-75. If too few signals, decrease to 55. Quality vs. quantity tradeoff. Q: Do regular divergences mean I should enter a reversal trade immediately A: No. Regular divergences indicate momentum exhaustion, which is a WARNING sign that trend may reverse, not a confirmation that it will. Use confluence score, market context, support/resistance, and your strategy rules to make entry decisions. Many divergences fail. Q: What's the difference between regular and hidden divergence A: Regular divergence = price and momentum move in opposite directions at extremes = potential reversal signal. Hidden divergence = price and momentum move in opposite directions during pullbacks = potential continuation signal. Hidden divergence suggests the pullback is just a correction within the larger trend. Q: Why does the pressure zone color sometimes conflict with the divergence direction A: Pressure is real-time current bar analysis. Divergence is confirmed pivot analysis from the past. They measure different things at different times. A bullish divergence confirmed 3 bars ago might appear during current selling pressure. This is normal. Q: Can I use this on stocks without volume data A: No. Volume is required for pressure analysis and behavioral pattern detection. Use only on assets with reliable volume reporting. Q: How often should I expect signals A: Depends on timeframe and settings. Daily charts might produce 5-10 signals per month. 1-hour charts might produce 20-30. 15-minute charts might produce 50-100. Adjust confluence threshold to control frequency. Q: Can I modify the code A: Yes, this is open source. You can modify for personal use. If you publish a modified version, please credit the original and ensure your publication meets TradingView guidelines. Q: What if I disagree with a pattern's confluence score A: The scoring weights are based on general observations and may not suit your specific strategy or asset. You can modify the code to adjust weights if you have data-driven reasons to do so. Final Notes VMDM - Volume, Momentum and Divergence Master is an educational multi-layer market analysis system designed to teach systematic pattern recognition through transparent, confluence-weighted signal detection. By combining RSI momentum divergence, volume pressure quantification, behavioral footprint pattern recognition, and quality scoring into a unified framework, it provides a comprehensive learning environment for understanding market structure. Use this tool to develop your analytical skills, understand how multiple technical factors interact, and learn to distinguish high-quality setups from noise. Remember that technical analysis is probabilistic, not predictive. No indicator replaces proper education, risk management, and trading discipline. Trade responsibly. Learn continuously. Risk only what you can afford to lose. -BullByte
Indicador Pine Script®
por BullByte
10
ICT Smart Money Trading Suite PRO [SwissAlgo]ICT SMC Trading Suite Pro Structure Detection. Imbalance Tracking. Trade Planning. Contextual Alerts. Why This Integrated System Was Built The ICT/SMC methodology requires tracking multiple analytical components simultaneously - a process prone to manual errors, time inefficiency, and visual clutter . This indicator consolidates these elements into a single, unified system , providing rules-based validation for experienced ICT traders who may struggle with execution speed, consistency, and manual calculations. ----------------------------------------------------------------- What This Indicator Does ICT/SMC methodology involves tracking multiple analytical components simultaneously. This indicator consolidates them into a single system. Common challenges when applying ICT manually: 1️⃣ Structure Identification
 Determining which pivots qualify as external (macro) structure versus internal (micro) structure requires consistent rules. Inconsistent structure identification affects the detection of the relevant trading range for entries , Change of Character (ChoCH) , and Break of Structure (BoS) . Accurate structure identification is paramount ; a faulty reading invalidates the entire ICT thesis for the current swing. While no automated system can replace human judgment, the indicator provides you with a rules-based starting point for structural analysis. The key goal is to help you find and map the relevant structural leg to focus on. 2️⃣ Chart Organization
 Drawing Fibonacci retracements, Fair Value Gaps, Order Blocks, and other imbalances manually creates visual complexity that can obscure the analysis. The indicator addresses this by striving to show all imbalances in a consistent, unified, and understandable visual way , using color coding and z-order layering to maintain clarity even when multiple components are active. 3️⃣ Imbalance Tracking
 ICT methodology requires monitoring a vast array of institutional footprints : Fair Value Gaps (FVG), Order Blocks (OB), Breaker Blocks (BB), Liquidity Pools (LP), Volume Imbalances, Wick Imbalances, and Kill Zone ranges. Tracking all these simultaneously and manually monitoring their mitigation status is highly time-intensive and prone to oversight . The indicator constantly scans and tracks all key imbalance types for you, automatically updating their status and creating a dynamic, real-time visual heatmap of unmitigated institutional inefficiency. 4️⃣ Trade Calculation
 Determining structure-based Stop Loss (SL) placement, calculating multiple Take Profit (TP) levels with accurate position-sizing splits, and computing the final blended Risk-to-Reward (R:R) ratio involves multiple time-sensitive, manual calculations per setup . The indicator automates this entire trade calculation process for you, instantly providing the necessary pricing (entry, SL, TP), sizing, and performance projections, and mitigating the risk of execution error . 5️⃣ Condition Monitoring 
 ICT setups often require specific technical conditions to align: price reaching discount Fibonacci levels (0.618-0.882 for shorts, 0.118-0.382 for longs), EMA crossovers confirming momentum, or structural shifts (ChoCH/BoS). Identifying these moments requires continuous chart observation across multiple assets and timeframes. This indicator includes an alert system that monitors these technical conditions and sends notifications when they occur (real-time). The alert system is designed to minimize spam. This allows traders to review potential setups on demand rather than through continuous observation - particularly relevant for those monitoring multiple instruments or trading sessions outside their local timezone. ----------------------------------------------------------------- Intended Use This indicator is designed for traders who: ♦ Apply ICT/SMC methodology - Familiarity with concepts such as Fair Value Gaps, Order Blocks, Liquidity Pools, market structure, and discount/premium zones is assumed. The indicator does not teach these concepts but provides tools to apply them. ♦ Trade on intraday to swing timeframes - The structure detection and Fibonacci zone mapping work across multiple timeframes. Recommended primary timeframe: 1H (adjustable based on trading approach). ♦ Prefer systematic entry planning - The trade calculation feature computes stop loss, take profit levels, and risk-to-reward ratios based on structure and Fibonacci positioning. Suitable for traders who use defined entry criteria. ♦ Monitor multiple instruments or sessions - The alert functionality notifies when specific technical conditions occur (discount zone entries, EMA crossovers, structure changes), reducing the need for continuous manual monitoring. ♦ Use trade execution platforms - The trade summary table displays pre-formatted values (entry, SL, TP levels with quantity splits) that can be manually input into trading platforms or bot services like 3Commas.
 ----------------------------------------------------------------- How To Use Step 1: Structure Analysis
 The indicator automatically detects external and internal market structure using pivot analysis. Structure lines are color-coded: red for bearish structure, green for bullish. External pivots are marked with larger triangles, internal pivots with smaller markers. The pivot length parameters (default: 20/20) can be adjusted in settings to align with your structural analysis approach and the asset you are analyzing. Step 2: Define Your Trading Zone
 Use the "Start Swing" and "End Swing" date inputs to mark the beginning and end of the (external) structural leg you wish to analyze. The indicator calculates Fibonacci retracement levels based on these points and color-codes the zones: * Green zones: Discount area (0.618-0.882 for bearish / 0.118-0.382 for bullish) * Yellow zones: Premium area (0.786-1.0 for bearish / 0.0-0.214 for bullish) * Red zones: Extension area beyond structure (potential fake-out zones) Step 3: Review Imbalances
 The indicator identifies and displays multiple imbalance types: 🔥 Volume imbalances (from displacement candles based on PVSRA methodology) 🔥 Fair Value Gaps (FVG) 🔥 Order Blocks (OB) and Breaker Blocks (BB) 🔥 Liquidity Pools (LP) at equal highs/lows 🔥 Wick imbalances (exceptional wick formations) 🔥 Kill Zone liquidity from specific trading sessions (Asian, London, NY AM) Volume Imbalances Fair Value Gaps Order Blocks Liquidity Pools Wick Imbalances Kill Zone Imbalances According to ICT methodology, imbalances act as price magnets - areas where price tends to return for mitigation. When multiple imbalances overlap at the same price level, this creates a confluence zone with a higher probability of price reaction . Imbalances are displayed as gray boxes , creating a visual heatmap of institutional inefficiencies. When imbalances overlap, the zones appear darker due to layering, and labels combine to show confluence (e.g., "FVG + OB" or "Vol + LP"). Heatmap of Imbalances User can view each type alone, or all together (heatmap) Each imbalance type is tracked until mitigated by price according to ICT principles and can be toggled on/off independently in settings. Step 4: Reference Levels & Sessions The indicator displays additional reference data: 🔥 Daily Pivot Points (PP, R1-R3, S1-S3) calculated from previous day 🔥Average Daily Range (ADR) projected from the current day's extremes 🔥 Daily OHLC levels: Today's Open (DO), Previous Day High (PDH), Previous Day Low (PDL) 🔥Session backgrounds (optional): Color-coded boxes for Asian, London, NY AM, and NY PM sessions Sessions While these are not ICT-specific imbalances, they represent widely-watched price levels that often attract institutional activity and can act as additional reference points for support, resistance, and liquidity targeting. All reference levels can be toggled independently in settings. Step 5: Momentum Reference
 EMA 14 and EMA 21 lines are displayed for momentum analysis. When EMA 14 enters discount zones and crosses EMA 21, a triangle marker appears on the chart. This indicates a potential alignment of structure and momentum conditions. Step 6: Trade Planning
 Input your intended entry price in the "Entry Price" field along with your margin and leverage parameters. The indicator automatically calculates all trade parameters: * Stop loss level (based on Fibonacci structure - typically at 1.118 extension) * Three take profit levels (TP1, TP2, TP3) with position quantity splits * Risk-to-reward ratio (blended across all three targets) * Projected profit/loss values in both dollars and percentage All calculated values are displayed both visually on the chart (as horizontal lines with labels) and in a formatted Trade Summary table. The table organizes the information for quick reference: entry details, take profit levels with quantities, stop loss parameters, and performance projections. This pre-calculated data can be manually copied into trading platforms or bot services (such as 3Commas Smart Trades) without requiring additional calculations. Step 7: Alert Configuration
 Create alerts using TradingView's alert system (select "Any alert() function call"). The indicator sends notifications when: * Price reaches specific discount Fibonacci levels (0.618, 0.786, 0.882 for shorts / 0.382, 0.214, 0.118 for longs) * EMA 14/21 crossovers occur within discount zones * Change of Character (ChoCH) is detected * Break of Structure (BoS) is detected Note: Alerts require active TradingView alert functionality. Update alerts when changing your trading zone parameters. ----------------------------------------------------------------- Key Features Structure & Zone Analysis * Automated structure detection with external/internal pivots and zig-zag visualization * Fibonacci retracement mapping with color-coded discount/premium zones * Visual zone classification: Green (optimal discount), Yellow (premium), Red (fake-out risk) ICT Imbalances Heatmap * Volume imbalances (PVSRA displacement candles) * Fair Value Gaps (FVG) * Order Blocks (OB) and Breaker Blocks (BB) * Liquidity Pools (LP) at equal highs/lows * Wick imbalances (exceptional wick formations) * Kill Zone liquidity (Asian, London, NY AM sessions) * Confluence detection with combined labels and visual layering Reference Levels * Daily Pivot Points (PP, R1-R3, S1-S3) * Average Daily Range (ADR) projections * Daily OHLC levels (DO, PDH, PDL) * Session backgrounds for kill zones Trade Planning Tools * Automated stop loss calculation based on Fibonacci structure * Three-tier take profit system with position quantity splits * Risk-to-reward ratio calculation (blended across all targets) * P&L projections in dollars and percentages * Trade Summary table formatted for manual platform entry Momentum & Signals * EMA 14/21 overlay for momentum analysis * Visual crossover markers (triangles) in discount zones * Change of Character (ChoCH) detection and labels * Break of Structure (BoS) detection and labels Chart Enhancements * Higher timeframe candle overlay (5m to Monthly) * PVSRA candle coloring (volume-based) * Symbol legend for quick reference * Customizable visual elements (toggle all components independently) Alert System * Discount zone entry notifications (Fibonacci level monitoring) * EMA crossover signals within discount zones * Structure change alerts (ChoCH and BoS) * Configurable via TradingView alert functionality Alert Functionality The indicator includes an alert system that monitors technical conditions continuously. When configured, alerts notify users when specific events occur: ❗ Discount Zone Monitoring
 When EMA 14 crosses into key Fibonacci levels (0.618, 0.786, 0.882 for bearish structure / 0.382, 0.214, 0.118 for bullish structure), an alert is triggered. Example: Trading BTC and ETH simultaneously - instead of monitoring both charts for zone entries, alerts notify when either asset reaches the specified level. ❗ Momentum Alignment
 When EMA 14 crosses EMA 21 within discount zones, an alert is sent. Example: Monitoring setups across multiple timeframes (1H, 4H, Daily) - alerts indicate when momentum conditions align on any timeframe being tracked. ❗ Structure Changes
 Change of Character (ChoCH) and Break of Structure (BoS) events trigger alerts. Example: Trading during the Asian session while located in a different timezone - alerts notify of structure changes occurring outside active monitoring hours. Configuration
 Alerts are set up through TradingView's native alert system. Select "Any alert() function call" when creating the alert. ⚠️ Note: Alert parameters are captured at creation time, so alerts must be updated when changing trading zone settings (Start/End Swing dates) or any other parameter. How to Create Alerts Step 1: Open Alert Creation
 Click the "Alert" button (clock icon) in the top toolbar of TradingView, or right-click on the chart and select "Add Alert." Step 2: Configure Alert Condition * In the alert dialog, set the Condition dropdown to select this indicator * Set the alert type to ⚠️ " Any alert() function call " * This configuration allows the indicator to trigger alerts based on its internal logic Step 3: Set Alert Timing * Timeframe: Same as chart * Expiration: Choose "Open-ended (when triggered)" to keep the alert active until conditions occur * Message tab: choose a name for the alert Step 4: Notification Settings
 Configure how you want to receive notifications: * Popup within TradingView * Email notification * Mobile app push notification (requires TradingView mobile app) Step 5: Create
 Important Notes: * Alert parameters are captured at creation time . If you change your trading zone (Start/End Swing dates) or entry price, delete the old alert and create a new one . * One alert per chart: Create separate alerts for each instrument and timeframe you're monitoring. * TradingView alert limits apply based on your TradingView subscription tier. What Triggers Alerts: This indicator sends alerts for four key event types: 1. Discount Zone Entry - EMA 14 crossing key Fibonacci levels 2. Momentum Crossover - EMA 14/21 crossovers within discount zones 3. Change of Character (ChoCH) - Structure reversal detected 4. Break of Structure (BoS) - Trend continuation confirmed All four conditions are monitored by a single alert configuration . ----------------------------------------------------------------- Recommended Settings * Timeframe : 1H works well for most assets * Theme : Dark mode recommended * Structural Pivots : Default 20/20 captures reasonable structure; adjust to match your analysis ----------------------------------------------------------------- Chart Elements Guide ♦ Structure Visualization Zig-zag lines Automated structure detection - green lines indicate bullish structure, red lines indicate bearish structure. Thick lines represent external structure , thin faded lines show internal structure . Triangle markers Large triangles mark external pivots (swing highs/lows), small triangles mark internal pivots. Fibonacci Zones * Green zones: Discount area - potential entry zones (0.618-0.882 for shorts / 0.118-0.382 for longs) * Yellow zones: Premium area - higher extension zones (0.786-1.0 for shorts / 0.0-0.214 for longs) * Red zones: Fake-out risk area - price beyond structural extremes (above 1.0 for shorts / below 0.0 for longs) * White dashed lines: Individual Fibonacci levels (1.0, 0.882, 0.786, 0.618, 0.5, 0.382, 0.214, 0.118, 0.0) ♦ Imbalance Heatmap Gray boxes with dotted midlines Unmitigated imbalances create a visual heatmap. Overlapping imbalances appear darker due to layering. Combined labels When multiple imbalances overlap, labels show confluence (e.g., "FVG + OB", "Vol + LP + Wick") Types displayed : Vol (Volume), FVG (Fair Value Gap), OB (Order Block), BB (Breaker Block), LP (Liquidity Pool), Wick, KZ (Kill Zone) ♦ Momentum Indicators * Red line: EMA 14 * Yellow line: EMA 21 * Small triangles on price: Crossover signals - red triangle (bearish crossover), green triangle (bullish crossover) when occurring within discount zones ♦ Structure Change Markers * Labels with checkmarks/crosses: ChoCH (Change of Character) and BoS (Break of Structure) events (Green label with ✓: Bullish ChoCH or BoS, Red label with ✗: Bearish ChoCH or BoS) ♦ Trade Planning Lines (when entry price is set) * Blue horizontal line: Entry price * Green dashed lines: TP1 and TP2 * Green solid line: TP3 (final target) * Red horizontal line: Stop Loss level TP levels and SL are calculated based on the structure range, entry price, and mapped trading zone, and aim to achieve a minimum risk: reward ratio of 1:1.5 (R:R) ♦ Colored background zones: Green shading between entry and TP3 (profit zone), red shading between entry and SL (loss zone) ♦ Reference Levels * Orange dotted lines with labels: Daily Pivot Points (PP, R1-R3, S1-S3) * Purple dotted lines with labels: ADR High and ADR Low projections * Cyan dotted lines with labels: DO (Daily Open), PDH (Previous Day High), PDL (Previous Day Low) ♦ Session Backgrounds (optional) * Yellow shaded box: Asian session (19:00-00:00 NY time) * Blue shaded box: London session (02:00-05:00 NY time) * Green shaded box: NY AM session (09:30-11:00 NY time) * Orange shaded box: NY PM session (13:30-16:00 NY time) ♦ Trade Summary Table (top-right corner) Displays a complete trade plan with sections: * Sanity Check: Plan validation status * Setup: Trade type, leverage, entry price, position size * Take Profit: TP1, TP2, TP3 with prices, percentages, and quantity splits * Stop Loss: SL price and type * Performance: Potential profit/loss, ROI, and risk-to-reward ratio ♦ HTF Candle Overlay (optional, displayed to the right of the current price) * Larger candlesticks representing higher timeframe price action * Green bodies: Bullish HTF candles * Red bodies: Bearish HTF candles * Label shows selected timeframe (e.g., "HTF→ D" for daily) ♦ Legend Table (bottom-right corner) Quick reference guide explaining all symbol abbreviations and color codes used on the chart. ----------------------------------------------------------------- Methodology & Calculation Details This indicator consolidates multiple ICT/SMC analytical components into a single integrated system. While individual elements could be created separately, this integration provides automated coordination between components , consistency, and reduces chart complexity. Structure Detection External and internal pivots Are identified using fractal pivot analysis with configurable lookback periods (default: 20 bars for both). A pivot high is confirmed when the high at the pivot bar exceeds all highs within the lookback range on both sides. Pivot lows use inverse logic. Structure lines connect validated pivots, with color coding based on price direction (higher highs/higher lows = bullish, lower highs/lower lows = bearish). Fibonacci Retracement Calculation Users define two swing points via date/time inputs. The indicator calculates the price range between these points and applies standard Fibonacci ratios (0.0, 0.118, 0.214, 0.382, 0.5, 0.618, 0.786, 0.882, 1.0, plus extensions at 1.118, 1.272, -0.118, -0.272). Zone classification is based on ICT discount/premium principles: 0.618-1.0 range for bearish setups, 0.0-0.382 for bullish setups. Imbalance Identification Volume Imbalances : Detected using PVSRA (Price, Volume, Support, Resistance Analysis) methodology. Candles are classified based on the percentile ranking of volume and price range over a 1344-bar lookback period. Type 1 imbalances require ≥95th percentile in both volume and range; Type 2 requires ≥85th percentile. Additional filters include body-to-range ratio (≥50% for Type 1, ≥30% for Type 2) and ATR validation. Fair Value Gaps (FVG) : Identified when a three-candle sequence shows a price gap: low > high for bullish FVG, high < low for bearish FVG. The middle candle must close beyond the gap edge. Mitigation occurs when the price retraces into the gap. Order Blocks (OB) : Detected by identifying the last opposing candle before a significant price move. When price breaks a swing high/low, the algorithm scans backwards to find the candle with the highest high (bearish OB) or lowest low (bullish OB) before the breakout. When an OB is breached, it converts to a Breaker Block (BB). Liquidity Pools (LP) : Identified by detecting equal highs or equal lows using a tolerance threshold based on ATR. Pivot highs/lows within this tolerance range are grouped. Equal highs create Buy-Side Liquidity (BSL) zones above the level; equal lows create Sell-Side Liquidity (SSL) zones below the level. Wick Imbalances: Flagged when a candle's wick exceeds 1.0x ATR and comprises >50% of the total candle range. These represent rapid rejections or absorption events. Kill Zone Liquidity: Tracks the high/low range during specific ICT-defined sessions (Asian: 19:00-00:00 NY, London: 02:00-05:00 NY, NY AM: 09:30-11:00 NY). At session close, BSL and SSL zones are created above/below the session range. Change of Character (ChoCH) & Break of Structure (BoS) ChoCH is detected when price breaks counter to the established structure (bearish structure broken upward = bullish ChoCH; bullish structure broken downward = bearish ChoCH). BoS occurs when price breaks in the direction of the established trend (bearish structure breaking lower = bearish BoS; bullish structure breaking higher = bullish BoS). Trade Calculations Stop Loss and Take Profit levels are calculated based on the entry position within the Fibonacci zone structure: * Premium entries (0.786-1.0 for shorts / 0.0-0.214 for longs): SL at 1.118/-0.118 extension, TP structure weighted toward zone extremes * Golden entries (0.618-0.786 for shorts / 0.214-0.382 for longs): SL at 1.0/0.0 boundary, TP structure balanced across range Risk-to-reward ratios are calculated as blended values across all three take profit levels, weighted by position quantity splits. Reference Level Calculations * Pivot Points: Standard formula using previous day's high, low, and close: PP = (H + L + C) / 3 * Support/Resistance: R1 = 2×PP - L, S1 = 2×PP - H, with R2/S2 and R3/S3 calculated using range extensions * ADR: 14-period simple moving average of daily high-low range, projected from current day's extremes Momentum Analysis EMA 14 and EMA 21 use standard exponential moving average calculations. Crossovers are detected when EMA 14 crosses EMA 21 within user-defined discount zones, with directional confirmation (cross under in bearish discount = short signal; cross over in bullish discount = long signal). Why This Integration Matters While components like EMA crossovers, pivot detection, or Fibonacci retracements exist as separate indicators, this system provides: 1. Coordinated Analysis : All components reference the same structural framework (user-defined trading zone) 2. Automated Mitigation Tracking : Imbalances are monitored continuously and removed when mitigated according to ICT principles 3. Contextual Alerts : Notifications are triggered only when conditions align within the defined structural context 4. Trade Parameter Automation : Stop loss and take profit calculations adjust dynamically based on entry positioning within the structure 5. Consistent Visual Display : All elements use a unified color scheme, labeling system, and z-order layering. This eliminates visual conflicts that occur when stacking multiple independent indicators (overlapping lines, label collisions, inconsistent transparency levels, conflicting color schemes). This consolidation reduces the need to manually coordinate 8-10 separate indicators, eliminates redundant calculations across disconnected tools, and maintains visual clarity even when all components are displayed simultaneously. ----------------------------------------------------------------- Disclaimer 1. Indicator Functionality and Purpose This indicator is solely a technical analysis tool built upon established methodologies (Smart Money Concepts/ICT) and statistical calculations (Pivots, Fibonacci, EMAs). It is designed to assist experienced traders in visualizing complex data, streamlining the analytical workflow, and automating conditional alerting. The indicator is NOT: ♦ Financial Advice: It does not provide personalized investment recommendations, solicited advice, or instruction on buying, selling, or holding any financial instrument. ♦ A Guarantee of Profit: The presence of a signal, alert, or trade plan output by this tool does not guarantee that any trade will be profitable. ♦ A Predictor of Future Prices: The tool calculates probabilities and potential scenarios based on historical data and current structure; it does not predict future market movements. 2. General Trading Risks and Capital Loss ♦ All trading involves substantial risk of loss. You may lose some or all of your initial capital. Leveraged products, such as futures, CFDs, and margin trading, carry a high degree of risk and are not suitable for all investors. ♦ Risk Acknowledgment: By using this indicator, you acknowledge and accept that you are solely responsible for all trading decisions, and you bear the full risk of any resulting profit or loss. ♦ Risk Management is Crucial: This indicator is an analytical tool only. You must employ independent risk management techniques (position sizing, stop-loss orders) tailored to your personal financial situation and risk tolerance. 3. Calculation Limitations and Non-Real-Time Data The calculations performed by this indicator are based on the data provided by your charting platform (e.g., TradingView). ♦ Data Accuracy: The accuracy of the outputs (e.g., Price Delivery Arrays, Pivots, P&L projections) is dependent on the accuracy and real-time nature of the underlying market data feed. ♦ Latencies: Trade alerts and signals may be subject to minor delays due to server processing, internet connectivity, or charting platform performance. Do not rely solely on alerts for execution. ♦ Backtesting and Performance: Any depiction of past performance, including data visible on the chart, is not indicative of future results. Trading results will vary based on market conditions, liquidity, and execution speed. 4. Software and Platform Disclaimer "As Is" Basis: The indicator is provided on an "as is" basis without warranties of any kind, whether express or implied. The author does not guarantee the script will be error-free or operate without interruption. Third-Party Integration: This indicator is not affiliated with, endorsed by, or connected to TradingView, 3Commas, or any other broker or execution platform. All third-party names are trademarks of their respective owners. The formatting of the Trade Summary Table for 3Commas is for user convenience only. 5. Required Competency (User Responsibility) This indicator is built on the assumption that the user is an experienced trader with a working understanding of the complex concepts being visualized (ICT/SMC, FVG, Order Blocks, Liquidity, etc.). The indicator does not teach these concepts. You Must Always Do Your Own Research (DYOR) before making any trading decision based on signals or visualization provided by this tool. By installing and using this indicator, you explicitly agree to these terms and assume full responsibility for all trading activity.
Indicador Pine Script®
por SwissAlgo
1
[GetSparx] Nova Pro⚡ Nova Pro – Position Calculator This indicator is a user-friendly TradingView indicator designed to help traders plan and visualize their entry and exit points, calculate position sizing, and instantly display key risk metrics. By simply entering three price levels (Entry, Take Profit and Stop Loss) along with a risk amount in USD, the indicator draws color-coded lines and labels on the chart, and generates a concise table with all computed values. This allows you to assess the risk-reward profile of any trade at a glance, without performing manual calculations. ⚙️ How It Works When the indicator is added to the chart it will ask to specify the price inputs and the risk amount in USD. Price Inputs (Entry, TP, SL) • You specify three price levels: the entry price, the profit target (Take Profit) and the loss threshold (Stop Loss). • Inputs use TradingView’s native price-picker fields. Any change is immediately reflected on the chart. Visual Display • Each level is plotted as a line stretching into the future for enough room. • Labels on the right show the exact price, color-coded: orange for Entry, green for TP and red for SL. • Previous lines and labels are automatically removed when parameters change, ensuring the chart remains clean. Risk Calculations • The entered risk amount (in USD) is combined with the distance between Entry and SL to compute the optimal number of units (Qty) to trade. • The script automatically detects whether it’s a long or short trade based on the relative positions of Entry and TP. • Note that the risk and reward calculations do not factor in exchange fees, slippage, funding rates or any other trading costs. Actual profit and loss may differ once transaction fees and market execution variances are applied, so be sure to adjust your position sizing and expectations accordingly. 🎯 What You Can Do With It • Consistent Position Sizing Automate your position size so you consistently risk the same dollar amount, regardless of price volatility or stop distance. • Clear Risk Management Instantly view your Reward-to-Risk ratio, potential profit in USD and exact risk amount, so you make well-informed decisions. • Rapid Scenario Analysis Adjust TP, SL or Entry on the fly to see how each change affects your potential profit, loss and RR ratio. • Publication-Ready Charts The visual elements and integrated table are optimized for TradingView publications, giving your analysis a professional, polished look. 📊 Explanation of Table Values • Entry Calculation: rounded to the nearest tick of your entered entry price. Marks the exact level at which you initiate the trade and serves as the reference point for all further risk and reward calculations. • Quantity (Qty) Calculation: Risk USD ÷ (Entry − Stop Loss). Determines how many units, contracts or shares to trade so that a stop-out at your SL equals exactly your predefined dollar risk, resulting in consistent per-trade exposure. • Risk to Reward (RR) Calculation: (Take Profit − Entry) ÷ (Entry − Stop Loss). Expresses how many dollars of potential profit you target for each dollar you risk. Values above 1 mean the reward exceeds the risk, guiding you to favorable setups. • Take Profit (TP) Calculation: rounded to the nearest tick of your entered take-profit price. Your target exit level for booking gains, highlighted in green on the chart. Shows where you plan to capture profits if the market moves in your favor. • Profit Calculation: Qty × (Take Profit − Entry). Gives the absolute potential gain in USD if price reaches your TP. Useful for comparing total return across different instruments or setups. • Stop Loss (SL) Calculation: rounded to the nearest tick of your entered stop-loss price. The level at which your trade is automatically closed to cap losses, highlighted in red on the chart. Ensures you never lose more than your defined risk amount. • Risk Calculation: equals the entered Risk USD. The maximum dollar amount you’re willing to lose on this trade. Acts as the upper boundary for your exposure, keeping your position sizing disciplined. 📝 Examples • Long Example 1: Bitcoin/USD Entry: $11851.1 Take Profit: $123853.9 Stop Loss: $115467.7 Risk USD: $500 The Risk to Reward ratio results in 2.25, which means the reward exceeds the risk. For each dollar you risk, this setup has potential gains of 2.25 dollars. • Long Example 2: Algorand/USD Entry: $0.2919 Take Profit: $0.3491 Stop Loss: $0.2655 Risk USD: $1000 The Risk to Reward ratio on this trade results in 2.17 and has a potential profit target of $2166.67. With a risk of $1000 USD the table conveniently shows a quantity of 37878 ALGO is needed for the trade. • Short Example 1: Forex EUR/USD Entry: $1.16666 Take Profit: $1.15459 Stop Loss: $1.17374 Risk USD: $200 With a risk of $200 USD and a RR of 2.17, this example shows how a short trade can be accomplished on EUR/USD. • Short Example 2: Gold Entry: $3366.29 Take Profit: $3272.01 Stop Loss: $3386.87 Risk USD: $1500 Within this short setup a risk of $1500 USD is used, which results in a RR of 4.58. The potential profit for this trade is $6871.72. ⚠ Disclaimer This tool is for educational and analytical use only. It does not provide financial advice or trading signals. Always use proper risk management and do your own due diligence.
Indicador Pine Script®
por GetSparx
MACD Trading System - Professional V2# MACD Trading System - Professional V2 ## Executive Summary **MACD Pro V2** is an institutional-grade trading indicator combining classical MACD analysis with advanced risk management, multi-timeframe confirmation, and comprehensive performance metrics. Designed for both manual traders and algorithmic systems, this indicator provides actionable signals with built-in stop loss calculation, take profit targets, position sizing, and trailing stop logic. This indicator is NOT just a signal generator—it's a complete trading system with risk/reward management, performance tracking, and market regime detection. --- ## Core Features ### 1. Advanced MACD Calculation - **Customizable EMAs**: Fast (default 8), Slow (default 21), Signal (default 5) - **Confirmed Signals**: Uses barstate.isconfirmed to prevent repainting - **Zero-Line Position**: Shows MACD above/below zero for momentum context ### 2. Multi-Timeframe Analysis - **4 Simultaneous Timeframes**: 4H, 1H, 15M, 5M analyzed in parallel - **MTF Alignment Score**: 0-100% showing consensus across timeframes - **Smart Requests**: Uses lookahead=barmerge.lookahead_off for accuracy ### 3. Market Regime Detection Automatically identifies current market conditions: - **TRENDING** - ADX > 25, strong directional movement - **RANGING** - ADX < 20, choppy sideways movement - **VOLATILE** - ATR > 1.5x average, high uncertainty - **NORMAL** - Default market state ### 4. Integrated Risk Management Complete position management system: - **Stop Loss Calculation**: Automatic SL placement based on ATR × multiplier - **Take Profit Targets**: Calculated using Risk:Reward ratio (default 2:1) - **Position Sizing**: Scales position size based on account risk percentage - **Trailing Stop**: Dynamically adjusts SL as price moves in your favor - **Drawdown Monitoring**: Tracks maximum drawdown vs account ### 5. Advanced Signal Scoring 0-100 point system weighing: - **MTF Alignment (35%)**: Multi-timeframe confirmation strength - **Momentum (25%)**: RSI conditions + Divergence detection - **Volume (20%)**: Volume profile and confirmation - **Volatility (20%)**: Market regime adjustment **Signal Classifications:** - **STRONG (70+)**: High confidence, tight stops, optimal entry - **MEDIUM (50-69)**: Valid signals, confirm with price action - **WEAK (<50)**: Low conviction, skip or use tight risk management ### 6. Professional Performance Metrics Real-time trading statistics: - **Win Rate**: Percentage of winning trades - **Max Drawdown**: Largest peak-to-trough decline - **Sharpe Ratio**: Risk-adjusted returns (anualized) - **Profit Factor**: Gross profit / Gross loss ratio - **Consecutive Losses**: Psychological stress indicator ### 7. Advanced Filtering System - **Divergence Detection**: Automatic bullish/bearish divergence identification - **Support/Resistance**: Pivot-based dynamic S/R levels - **Volume Confirmation**: Only takes signals with volume > 1.0x average - **Session Filter**: Optional trading hours restriction - **Volatility Adjustment**: Reduces entries in extremely high volatility --- ## How It Works ### Signal Generation Process **Step 1: MACD Crossover** - Crossover of MACD above/below signal line triggers base signal - Uses confirmed values to prevent false signals **Step 2: Multi-Timeframe Confirmation** - Checks trend alignment on 4H, 1H, 15M, 5M - Calculates MTF alignment percentage - Higher alignment = higher confidence **Step 3: Advanced Scoring** Signal is scored on 100-point scale: - MTF alignment contribution (35 pts max) - RSI + Divergence (25 pts max) - Volume profile (20 pts max) - Volatility regime adjustment (20 pts max) **Step 4: Filter Application** - Session filter (if enabled) - Support/Resistance proximity bonus - Volume confirmation requirement - Drawdown check (if risk mgmt enabled) **Step 5: Risk Calculation** - Stop Loss placed 2 ATR below entry (customizable) - Take Profit calculated using 2:1 risk/reward ratio - Position size scaled to risk 1% per trade - Trailing stop activated after 1R profit **Step 6: Signal Output** - Buy Signal: Green triangle (Strong) or circle (Medium) - Sell Signal: Red triangle (Strong) or circle (Medium) - Dashboard shows complete trade details --- ## Trading Scenarios ### Scenario 1: Strong Buy Setup ``` Requirements met: ✓ MACD crosses above signal line ✓ 3/4 timeframes bullish (4H, 1H, 15M) ✓ RSI oversold (< 30) ✓ Volume spike confirmed ✓ Score: 78/100 → STRONG BUY System provides: - Entry: Current price - Stop Loss: 2 ATR below entry - Take Profit: 2× risk distance above - Position Size: Adjusted to 1% account risk - Trailing Stop: Activates at 1R profit ``` ### Scenario 2: Medium Buy with Divergence ``` Requirements met: ✓ MACD crosses above signal line ✓ 2/4 timeframes bullish (4H, 1H) ✓ Bullish divergence detected ✓ Price near support level ✓ Score: 62/100 → MEDIUM BUY Considerations: - Lower confidence → tighter risk management - Use smaller position size - Require additional confirmation - Better as counter-trend entry ``` ### Scenario 3: Ranging Market Filter ``` Market condition detected: RANGING ADX < 20, sideways movement System response: - Reduces signal score by volatility adjustment - May skip signals entirely - Prioritizes higher confluence - Warns of low trend probability Best action: Wait for trending market ``` --- ## Risk Management Deep Dive ### Stop Loss Calculation ``` Stop Loss Distance = ATR × ATR Multiplier (default 2.0) Example: - Current price: 1.0850 - ATR(14): 0.0045 - SL Distance: 0.0045 × 2.0 = 0.009 - BUY SL: 1.0850 - 0.009 = 1.0760 ``` ### Position Sizing ``` Position Size = (Account Risk % / Price Risk %) Example: - Risk per trade: 1% of account - Stop distance: 0.009 on price of 1.0850 - Price risk: 0.009 / 1.0850 = 0.83% - Position size: 1.0% / 0.83% = 1.2x (capped at 1.0x max) ``` ### Trailing Stop Logic ``` Normal SL: 2 ATR below entry Trigger Level: Entry + (Entry - SL) × Trail Activation (1.0R) Trailing Mechanism: - If price hits trigger, trailing SL activates - SL moves up to: Close - 2 ATR - SL never moves down, only up (for longs) - Protects profits while allowing upside ``` ### Drawdown Protection ``` Tracks: - Peak equity reached - Current drawdown from peak - Maximum drawdown recorded - Stops trading if max DD exceeded Example: - Peak: $10,000 - Current: $9,200 - Drawdown: 8% - Max allowed: 10% - Status: CONTINUE TRADING ``` --- ## Dashboard Metrics Explained ### Market Section - **Market Regime**: Current state (Trending/Ranging/Volatile/Normal) - **ADX Value**: Trend strength indicator (0-100) ### Position Section - **Current Position**: LONG, SHORT, or NONE - **P&L**: Unrealized profit/loss percentage if in position ### Timeframe Section - Individual 4H/1H/15M trend status - **Alignment**: Percentage of bullish timeframes ### Risk Management Section - **Stop Loss %**: Distance from current price - **Take Profit %**: Target profit distance - **Position Size**: Capital allocation multiplier - **Risk %**: Per-trade risk percentage ### Performance Section - **Win Rate**: % of winning trades (>60% is excellent) - **Max DD**: Maximum drawdown experienced - **Sharpe Ratio**: Risk-adjusted return metric - **Profit Factor**: Ratio of profits to losses ### Indicators Section - **RSI**: Momentum and overbought/oversold levels - **Volume**: Current vs. average volume ratio - **Divergence**: Active divergence detection --- ## Advanced Features ### Divergence Detection ``` Bullish Divergence: - Price makes lower low - MACD makes higher high - Signals potential reversal UP Bearish Divergence: - Price makes higher high - MACD makes lower low - Signals potential reversal DOWN Lookback: 20 bars (customizable) ``` ### Support & Resistance ``` Method: Pivot High/Low detection - Pivot Left/Right: 10 bars - Dynamic S/R levels update as new pivots form - Bonus score if entry near identified levels ``` ### Performance Tracking Real-time statistics calculated from: - Win/loss signals - Profit/loss per trade - Consecutive losing trades - Cumulative returns - Standard deviation (Sharpe calculation) Stores last 100 trades in memory for statistics. --- ## Input Parameters Explained ### MACD Settings - **Fast EMA** (5-13): Lower = more responsive, more false signals - **Slow EMA** (20-26): Higher = smoother, misses faster moves - **Signal EMA** (5-9): Crossover sensitivity ### Risk Management - **ATR Period** (default 14): Volatility measurement period - **SL ATR Multiplier** (1.5-3.0): Stop loss tightness - **Risk:Reward Ratio** (1-5): Profit target calculation - **Trail Activation** (0.5-2.0): When to start trailing stop - **Risk Per Trade** (0.1-5.0): Account risk percentage - **Max Drawdown** (5-30%): Trading pause threshold ### Scoring Weights Customize signal emphasis: - **MTF Alignment** (35%): How important is multi-timeframe - **Momentum** (25%): RSI and divergence weight - **Volume** (20%): Volume confirmation priority - **Volatility** (20%): Regime adjustment strength ### Advanced Filters - **Check Divergence**: Enable/disable divergence scoring - **Session Filter**: Restrict to specific hours - **Min Volume Ratio**: Minimum volume for signal ### Display - **Show Dashboard**: Main metrics table - **Show Performance**: Trading statistics - **Show S/R Levels**: Support/resistance visualization --- ## Best Practices 1. **Backtest Before Trading**: Test parameters on your preferred pairs 2. **Start with Strong Signals**: Use only 70+ scored signals initially 3. **Position Size**: Never risk more than 1-2% per trade 4. **Market Regime Awareness**: Skip ranging market entries 5. **Volume Confirmation**: Always check volume spikes 6. **Profit Taking**: Lock in profits at TP, don't let winners die 7. **Loss Management**: Honor stop losses, don't move them 8. **Performance Review**: Check metrics weekly, adjust if needed --- ## Trading Strategy Examples ### Conservative Strategy (Win-Rate Focus) ``` Settings: - Signal Score Minimum: 70+ (Strong only) - Risk Per Trade: 0.5% - Risk:Reward: 3:1 - Position Size: 0.5x (smaller) Targets: - Win Rate > 65% - Max DD < 5% - Profit Factor > 2.0 ``` ### Aggressive Strategy (Profit Focus) ``` Settings: - Signal Score Minimum: 50+ (Medium+) - Risk Per Trade: 2% - Risk:Reward: 1.5:1 - Position Size: 1.0x (maximum) Targets: - Win Rate > 55% - Max DD < 10% - Profit Factor > 1.5 ``` ### Trend Trading Strategy ``` Settings: - Only trade when ADX > 25 (Trending) - MTF Alignment: 3+ timeframes - Use Trailing Stop: Yes - Risk:Reward: 2.5:1 Focus on: Riding large moves Best on: 4H timeframe Pairs: Trending majors (EURUSD, GBPUSD) ``` ### Divergence Trading Strategy ``` Settings: - Signal Score Minimum: 60+ - Enable Divergence: Yes - Volume Confirmation: Required - Position Size: 0.75x Focus on: Reversal entries Best setup: Divergence at resistance/support Risk management: Tight stops (1.5 ATR) ``` --- ## Advantages ✓ Complete trading system, not just signals ✓ Built-in risk management and position sizing ✓ Real-time performance tracking ✓ Multi-timeframe confirmation reduces false signals ✓ Advanced filtering and divergence detection ✓ Market regime awareness ✓ Customizable scoring weights ✓ Professional dashboard display ✓ Support/resistance integration ✓ Trailing stop logic for profit protection --- ## Limitations - Lagging indicator (uses confirmed bars) - Works best on trending markets - Not optimized for news/event trading - Requires parameter optimization per pair - Performance varies by timeframe - Past performance doesn't guarantee future results - Can produce whipsaw signals in ranging markets --- ## System Requirements - TradingView Premium or higher (for advanced charting) - Recommended: 4H or 1H timeframe - Historical data: Minimum 100 bars - Currency pairs: Works on all FX pairs, stocks, commodities --- ## Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee profits. Past performance does not predict future results. **Important Notices:** - Always use proper risk management - Trade only with capital you can afford to lose - Backtest thoroughly before live trading - Combine with your own analysis - Consider external market factors and news - Monitor positions actively - Keep emotional discipline --- ## Support & Optimization For best results: 1. Test on your preferred instrument (6-12 months history) 2. Adjust MACD parameters to your timeframe 3. Optimize scoring weights to your style 4. Set risk management per your account size 5. Document your trade results and review weekly 6. Adapt parameters if performance degrades This is a powerful system when used correctly. Respect the rules and let statistics work in your favor.
Indicador Pine Script®
por Gyorgyak
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary 📊 Overview A professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk. 🎯 Key Features Core Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals) Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected Performance With Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to Use Basic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization Tips For More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk Disclaimer IMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Indicador Pine Script®
por elivgorelick
3
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary📊 OverviewA professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.🎯 Key FeaturesCore Signal System 7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume Signal Grading: Each signal is rated A+ through D based on 7 quality factors Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D) Advanced Safety Filters (Customizable) Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands ATR Spike Filter - Avoids trading during extreme volatility events EMA Spacing Filter - Ensures proper trend separation (optional) Momentum Filter - Requires consecutive directional bars (optional) Multi-Timeframe Confirmation - Aligns with 15-min trend (optional) TopStep Risk Management Real-time drawdown tracking Position sizing calculator based on remaining cushion Daily loss limit monitoring Consecutive loss protection Max trades per day limiter Visual Components VWAP with 1σ, 2σ, 3σ bands EMA 9/21 with cloud fill 15-min EMA 50 for HTF trend Comprehensive metrics dashboard Risk management panel Filter status panel Detailed trade labels with entry, stops, and targets ⚙️ Default Settings (Balanced for Regular Signals)Technical Indicators Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min) MACD: 10/22/9 RSI: 14 period | Thresholds: 52 (buy) / 48 (sell) ADX: 14 period | Minimum: 20 ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x Volume: 1.2x average required Session Settings Default: 9:30 AM - 11:30 AM ET (adjustable) Avoids first 15 minutes after market open Customizable trading hours Safety Filters (Default Configuration) ✅ Mean Reversion: Enabled (2.5σ max from VWAP) ✅ ATR Spike: Enabled (2.0x threshold) ❌ EMA Spacing: Disabled (can enable for quality) ❌ Momentum: Disabled (can enable for quality) ❌ MTF Confirmation: Disabled (can enable for quality) Risk Controls Minimum Signal Quality: C (adjustable to A+ for fewer/better signals) Min Bars Between Signals: 10 Max Trades Per Day: 5 Stop After Consecutive Losses: 2 📈 Expected PerformanceWith Default Settings: Signals per week: 10-15 trades Estimated win rate: 55-60% Risk-Reward: 1:2 (TP1) and 1:3 (TP2) With Aggressive Settings (Min Quality = D, All Filters Off): Signals per week: 20-25 trades Estimated win rate: 50-55% With Conservative Settings (Min Quality = A, All Filters On): Signals per week: 3-5 trades Estimated win rate: 65-70% 🚀 How to UseBasic Setup: Add indicator to MNQ 5-minute chart Adjust TopStep account settings in inputs Set your risk per trade percentage (default: 0.5%) Configure trading session hours Set minimum signal quality (Start with C for balanced results) Signal Interpretation: Green Triangle (BUY): Long signal - all confirmations aligned Red Triangle (SELL): Short signal - all confirmations aligned Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3) Dashboard Monitoring: Top Right: Technical metrics and market conditions Top Left: Filter status (which filters are passing/blocking) Bottom Right: TopStep risk metrics and position sizing ⚡ Customization TipsFor More Signals: Lower "Minimum Signal Quality" to D Decrease ADX threshold to 18-20 Lower RSI thresholds to 50/50 Reduce Volume multiplier to 1.1x Disable additional filters For Higher Quality (Fewer Signals): Raise "Minimum Signal Quality" to A or A+ Increase ADX threshold to 25-30 Enable all 5 advanced filters Tighten VWAP distance to 2.0σ Increase momentum requirement to 3-4 bars For TopStep Compliance: Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account Update "Already Used Drawdown" daily Monitor the Risk Panel for cushion remaining Use recommended contract sizing 🛡️ Risk DisclaimerIMPORTANT: This indicator is for educational and informational purposes only. Past performance does not guarantee future results All trading involves substantial risk of loss Use proper risk management and position sizing Test thoroughly in paper trading before live use The indicator does not guarantee profitable trades Adjust settings based on your risk tolerance and trading style Always comply with your broker's and TopStep's rules
Indicador Pine Script®
por elivgorelick
OptionHawk1. What makes the script original? • Unique concept: It integrates a Keltner based custom supertrend with a multi-EMA energy visualization, ATR based multi target management, and on chart options (CALL/PUT) trade signals—creating a toolkit not found in typical public scripts. • Innovative use: Instead of off the shelf indicators, it reinvents them: • Keltner bands used as dynamic Supertrend triggers. • Fifteen EMAs layered for “energy” zones (bullish/bearish heatmaps). • ATR dynamically scales multi-TP levels and stop loss. These are creatively fused into a unified signal and automation engine. ________________________________________ 2. What value does it provide to traders? • Clear entries & exits: Labels for entry price/time, five TP levels, and SL structure eliminate guesswork. • Visualization & automation: Real-time bar coloring and energy overlays allow quick momentum reads. • Targeted to common pain points: Many traders struggle with manual TP/SL and entry timing—this automates that process. • Ready for real use: Just plug into intraday (e.g., 5 min) or swing setups; no manual calculations. Signals are actionable out of the box. ________________________________________ 3. Why invite only (worth paying)? • Proprietary fusion: Public indicators like Supertrend or EMA are common—but your layered use, ATR based scaling, and label logic are exclusive. • Auto-generated options format: Unique labeling for CALL/PUT, with graphical on chart signals, isn’t offered freely elsewhere. • Time-saver & edge-provider: Saves traders hours of configuration and enhances consistency—worth the subscription cost over piecing together mash ups. ________________________________________ 4. How does it work? • Signal backbone: Custom supertrend uses Keltner bands crossing with close for direction, filtered by trend direction EMAs. • Multi time logic: Trend defined by crossover of price over dynamic SMA thresholds built from ATR. • Energy bar-colors/EMAs: 15 fast EMAs color-coded green/red to instantly show momentum. • Entry logic: “Bull” when close crosses above supertrend; “Bear” when crosses below. • Risk management: SL set at previous bar; up to 5 ATR scaled targets (or percentage based). • Options formatted alerts: CALL/PUT labels with ₹¬currency values, embedded timestamp, SL/TP all printed on the chart. ________________________________________ 5. How should traders use it? • Best markets & timeframes: Ideal for intraday / low timeframe (1 15m) setups and 1 hour swing trades in equities, indices, options. • Conditions: Works best in trending or volatility driven sessions—visible via Keltner bands and EMA energy alignment. • Recommended combo: Use alongside volume filters or broader cycles; when supertrend & energy EMAs align, validation is stronger. ________________________________________ 6. Proof of effectiveness? • On chart visuals: Entry/exit labels, confirmed labels, TP and SL markers make past hits obvious. • Real trade examples: Highlighted both bull & bear setups with full profit realization or SL hits. • Performance is paint tested: Easy to showcase historic signals across multiple tickers. • Data-backed: Users can export chart data to calculate win rate and avg return per trade. ________________________________________ Summary Pitch: OptionHawk offers a holistic, execution-ready trading tool: 1. Proprietary blend of Keltner-supertrend and layered EMAs—beyond standard scripts. 2. Automates entries, multi-tier targets, SL, and options-format labels. 3. Visual energy overlays for quick momentum readings. 4. Use-tested in intraday and swing markets. 5. Installs on chart and works immediately—no setup complexity. It's not a public indicator package; it's a self-contained, plug and play trade catalyst—worth subscribing for active traders seeking clarity, speed, and structure in their decision-making. 6. While OptionHawk is designed for clarity and structure, no script can predict the market. Always use with discretion and proper risk management. --------------------------------------------------------------------------------------------------------------------- OptionHawk: A Comprehensive Trend-Following & Volatility-Adaptive Trading System The "OptionHawk" script is a sophisticated trading tool designed to provide clear, actionable signals for options trading by combining multiple technical indicators and custom logic. It aims to offer a holistic view of market conditions, identifying trend direction, momentum, and potential entry/exit points with dynamic stop-loss and take-profit levels. ________________________________________ 1. Why These Specific Indicators and Code Elements? The "OptionHawk" script is a strategic fusion of the Supertrend indicator (modified with Keltner Channels), a multi-EMA "Energy" ribbon, dynamic trend lines (based on SMA and ATR), a 100-period Trend Filter EMA, and comprehensive trade management logic (SL/TP). My reason and motivation for this mashup stem from a desire to create a robust system that accounts for various market aspects often overlooked by individual indicators: • Supertrend with Keltner Channels: The standard Supertrend is effective for trend identification but can sometimes generate whipsaws in volatile or ranging markets. By integrating Keltner Channels into the Supertrend calculation, the volatility measure becomes more adaptive, using the (high - low) range within the Keltner Channel for its ATR-like component. This aims to create a more responsive yet less prone-to-false-signals Supertrend. • Multi-EMA "Energy" Ribbon: This visually striking element, composed of 15 EMAs, provides a quick glance at short-to-medium term momentum and potential support/resistance zones. When these EMAs are stacked and moving in one direction, it indicates strong "energy" behind the trend, reinforcing the signals from other indicators. • Dynamic Trend Lines (SMA + ATR): These lines offer a visual representation of support and resistance that adapts to market volatility. Unlike static trend lines, their ATR-based offset ensures they remain relevant across different market conditions and asset classes, providing context for price action relative to the underlying trend. • 100-Period Trend Filter EMA: A longer-period EMA acts as a higher-timeframe trend filter. This is crucial for confirming the direction identified by the faster-acting Supertrend, helping to avoid trades against the prevailing broader trend. • Comprehensive Trade Management Logic: The script integrates automated calculation and display of stop-loss (SL) and multiple take-profit (TP) levels, along with trade confirmation and "TP Hit" labels. This is critical for practical trading, providing immediate, calculated risk-reward parameters that individual indicators typically don't offer. This combination is driven by the need for a multi-faceted approach to trading that goes beyond simple signal generation to include trend confirmation, volatility adaptation, and essential risk management. ________________________________________ 2. What Problem or Need Does This Mashup Solve? This mashup addresses several critical gaps that existing individual indicators often fail to fill: • Reliable Trend Identification in Volatile Markets: While Supertrend is good, it can be late or whipsaw. Integrating Keltner Channels helps it adapt to changing volatility, providing more reliable trend signals. • Confirmation of Signals: A common pitfall of relying on a single indicator is false signals. "OptionHawk" uses the multi-EMA "Energy" ribbon and the 100-period EMA to confirm the trend identified by the Keltner-Supertrend, reducing false entries. • Dynamic Support/Resistance & Trend Context: Static support and resistance levels can quickly become irrelevant. The dynamic SMA + ATR trend lines provide continually adjusting zones that reflect the current market's true support and resistance, giving traders a better understanding of price action within the trend. • Integrated Risk and Reward Management: Most indicators just give entry signals. This script goes a significant step further by automatically calculating and displaying clear stop-loss and up to five take-profit levels (either ATR-based or percentage-based). This is a vital component for structured trading, allowing traders to pre-define their risk and reward for each trade. • Visual Clarity and Actionable Information: Instead of requiring traders to layer multiple indicators manually, "OptionHawk" integrates them into a single, cohesive display with intuitive bar coloring, shape plots, and informative labels. This reduces cognitive load and presents actionable information directly on the chart. In essence, "OptionHawk" provides a more comprehensive, adaptive, and actionable trading framework than relying on isolated indicators. ________________________________________ 3. How Do the Components Work Together? The various components of "OptionHawk" interact in a synergistic and often sequential manner to generate signals and manage trades: • Keltner-Supertrend as the Primary Signal Generator: The supertrend function, enhanced by keltner_channel, is the core of the system. It identifies potential trend reversals and continuation signals (bullish/bearish crosses of the supertrendLine). The sensitivity and factor inputs directly influence how closely the Supertrend follows price and its responsiveness to volatility. • Multi-EMA "Energy" Ribbon for Momentum and Confirmation: The 15 EMAs (from ema1 to ema15) are plotted to provide a visual representation of short-term momentum. When the price is above these EMAs and they are spread out and pointing upwards, it suggests strong bullish "energy." Conversely, when price is below them and they are pointing downwards, it indicates bearish "energy." This ribbon serves as a simultaneous visual confirmation for the Supertrend signals; a buy signal from Supertrend is stronger if the EMA ribbon is also indicating upward momentum. • Dynamic Trend Lines for Context and Confirmation: The sma_high and sma_low lines, incorporating ATR, act as dynamic support and resistance. The trend variable, determined by price crossing these lines, provides an overarching directional bias. This component works conditionally with the Supertrend; a bullish Supertrend signal is more potent if the price is also above the sma_high (indicating an uptrend). • 100-Period Trend Filter EMA for Macro Trend Confirmation: The ema100 acts as a macro trend filter. Supertrend signals are typically considered valid if they align with the direction of the ema100. For example, a "BUY" signal from the Keltner-Supertrend is ideally taken only if the price is also above the ema100, signifying that the smaller trend aligns with the larger trend. This is a conditional filter. • Trade Confirmation and SL/TP Logic (Sequential and Conditional): • Once a bull or bear signal is generated by the Keltner-Supertrend, the tradeSignalCall or tradeSignalPut is set to true. • A confirmation step then occurs for a "BUY" signal, the script checks if the close of the next bar is higher than the entry bar's close. For a "SELL" signal, it checks if the close of the next bar is lower. This is a sequential confirmation step aimed at filtering out weak signals. • Upon a confirmed signal, the stop-loss (SL) is immediately set based on the previous bar's low (for calls) or high (for puts). • Multiple take-profit (TP) levels are calculated and stored in arrays. These can be based on a fixed percentage or dynamic ATR multiples, based on user input. • The TP HIT logic continuously monitors price action simultaneously against these pre-defined target levels, displaying labels when a target is reached. The SL HIT logic similarly monitors for a stop-loss breach. In summary, the Supertrend generates the initial signal, which is then confirmed by the dynamic trend lines and the 100-period EMA, and visually reinforced by the EMA "Energy" ribbon. The trade management logic then takes over, calculating and displaying vital risk-reward parameters. ________________________________________ 4. What is the Purpose of the Mashup Beyond Simply Merging Code? The purpose of "OptionHawk" extends far beyond merely combining different indicator codes; it's about creating a structured and informed decision-making process for options trading. The key strategic insights and functionalities added by combining these elements are: • Enhanced Signal Reliability and Reduced Noise: By requiring multiple indicators to align (e.g., Keltner-Supertrend signal confirmed by EMA trend filter and dynamic trend lines), the script aims to filter out false signals and whipsaws that commonly plague individual indicators. This leads to higher-probability trade setups. • Adaptive Risk Management: The integration of ATR into both the Supertrend calculation and the dynamic stop-loss/take-profit levels makes the entire system adaptive to current market volatility. This means stop-losses and targets are not static but expand or contract with the market's price swings, promoting more realistic risk management. • Clear Trade Entry and Exit Framework: The script provides a complete trading plan with each signal: a clear entry point, a precise stop-loss, and multiple cascading take-profit levels. This holistic approach empowers traders to manage their trades effectively from initiation to conclusion, rather than just identifying a potential entry. • Visual Confirmation of Market Strength: The "Energy" ribbon and dynamic trend lines provide an immediate visual understanding of the market's momentum and underlying trend strength, helping traders gauge conviction behind a signal. • Improved Backtesting and Analysis: By combining these elements into one script, traders can more easily backtest a comprehensive strategy rather than trying to manually combine signals from multiple overlaying indicators, leading to more accurate strategy analysis. • Suitability for Options Trading: Options contracts are highly sensitive to price movement and volatility. This script's focus on confirmed trend identification, dynamic volatility adaptation, and precise risk management makes it particularly well-suited for the nuanced demands of options trading, where timing and defined risk are paramount. ________________________________________ 5. What New Functionality or Insight Does Your Script Offer? "OptionHawk" offers several new functionalities and insights that significantly enhance decision-making, improve accuracy, and provide clearer signals and better timing for traders: • "Smart" Supertrend: By basing the Supertrend's volatility component on the Keltner Channel's range instead of a simple ATR, the Supertrend becomes more sensitive to price action within its typical bounds while still adapting to broader market volatility. This can lead to earlier and more relevant trend change signals. • Multi-Confirmation System: The script doesn't just provide a signal; it layers multiple confirmations (Keltner-Supertrend, multi-EMA "Energy" coloration, dynamic trend lines, and the 100-period EMA). This multi-layered validation significantly improves the accuracy of signals by reducing the likelihood of false positives. • Automated and Dynamic Risk-Reward Display: This is a major functionality enhancement. The automatic calculation and clear display of stop-loss and five distinct take-profit levels (based on either ATR or percentage) directly on the chart, along with "TP HIT" and "SL HIT" labels, streamline the trading process. Traders no longer need to manually calculate these crucial levels, leading to enhanced decision-making and better risk management. • Visual Trend "Energy" and Momentum: The vibrant coloring of the multi-EMA ribbon based on price relative to the EMA provides an intuitive and immediate visual cue for market momentum and "energy." This offers an insight into the strength of the current move, which isn't available from single EMA plots. • Post-Signal Confirmation: The "Confirmation" label appearing on the bar after a signal, if the price continues in the signaled direction, adds an extra layer of real-time validation. This helps to improve signal timing by waiting for initial follow-through. • Streamlined Options Trading Planning: For options traders, having clear entry prices, stop-losses, and multiple target levels directly annotated on the chart is invaluable. It helps in quickly assessing potential premium movements and managing positions effectively. In essence, "OptionHawk" transitions from a collection of indicators to a semi-automated trading assistant, providing a comprehensive, visually rich, and dynamically adaptive framework for making more informed and disciplined trading decisions. ---------------------------------------------------------------------------------------------------------------- Performance & Claims 1. What is the claimed performance of the script or strategy? Answer: The script does not claim any specific performance metrics (e.g., win rate, profit factor, percentage gains). It's an indicator designed to identify potential buy/sell signals and target/stop-loss levels. The labels it generates ("BUY CALL," "BUY PUT," "TP HIT," "SL HIT") are informational based on its internal logic, not a representation of actual trading outcomes. 2. Is there any proof or backtesting to support this claim? Answer: No, the provided code does not include any backtesting functionality or historical performance proof. As an indicator, it simply overlays visual signals on the chart. To obtain backtesting results, the logic would need to be implemented as a Pine Script strategy with entry/exit rules and commission/slippage considerations. 3. Are there any unrealistic or exaggerated performance expectations being made? Answer: The script itself does not make any performance expectations. It avoids quantitative claims. However, if this script were presented to users with implied promises of profit based solely on the visual signals, that would be unrealistic. 4. Have you clearly stated the limitations of the performance data (e.g., “based on backtesting only”)? Answer: There is no statement of performance data or its limitations because the script doesn't generate performance data. 5. Do you include a disclaimer that past results do not guarantee future performance? Answer: No, the script does not include any disclaimers about past or future performance. This is typically found in accompanying documentation or marketing materials for a trading system, not within the indicator's code itself. ________________________________________ Evidence & Transparency 6. How are your performance results measured (e.g., profit factor, win rate, Sharpe ratio)? Answer: Performance results are not measured by this script. It's an indicator. 7. Are these results reproducible by others using the same script and settings? Answer: The visual signals and calculated levels (Supertrend line, EMAs, target/SL levels) generated by the script are reproducible on TradingView when applied to the same instrument, timeframe, and with the same input settings. However, the actual trading results (profit/loss) are not generated or reproducible by this indicator. 8. Do you include enough data (charts, equity curves, trade logs) to support your claims? Answer: No, the script does not include or generate equity curves or trade logs. It provides visual labels on the chart, which can be seen as a form of "data" to support the signal generation, but not the performance claims (as none are made by the code). ________________________________________ Future Expectations 9. Are you making any predictions about future market performance? Answer: No, the script does not make any explicit predictions about future market performance. Its signals are based on historical price action and indicator calculations. 10. Have you stated clearly that the future is fundamentally uncertain? Answer: No, the script does not contain any statements about the uncertainty of the future. 11. Are forward-looking statements presented with caution and appropriate language? Answer: The script does not contain any forward-looking statements beyond the visual signals it generates based on real-time data. ________________________________________ Risk & Disclosure 12. Have you disclosed the risks associated with using your script or strategy? Answer: No, the script does not include any risk disclosures. This is typically found in external documentation. 13. Do you explain that trading involves potential loss as well as gain? Answer: No, the script does not contain any explanation about the potential for loss in trading. ________________________________________ Honesty & Integrity 14. Have you avoided hype words like “guaranteed,” “foolproof,” or “no losses”? Answer: Yes, the script itself avoids these hype words. The language used within the code is technical and describes the indicator's logic. 15. Is your language grounded and realistic rather than promotional? Answer: Yes, the language within the provided Pine Script code is grounded and realistic as it pertains to the technical implementation of an indicator. 16. Are you leaving out any important details that might mislead users (e.g., selective performance snapshots)? Answer: From the perspective of the code itself, no, it's not "leaving out" performance details because it's not designed to generate them. However, if this indicator were to be presented as a "strategy" that implies profitability without accompanying disclaimers, backtesting results, and risk disclosures, then that external presentation could be misleading. The script focuses on signal generation and visual representation. ⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not guarantee any future results or performance. All trading involves risk. Please assess your own risk tolerance and consult a licensed financial advisor if needed. Past performance does not indicate future returns.
Indicador Pine Script®
por ShubhamWaddalwar
Dskyz (DAFE) Aurora Divergence – Quant Master Dskyz (DAFE) Aurora Divergence – Quant Master Introducing the Dskyz (DAFE) Aurora Divergence – Quant Master , a strategy that’s your secret weapon for mastering futures markets like MNQ, NQ, MES, and ES. Born from the legendary Aurora Divergence indicator, this fully automated system transforms raw divergence signals into a quant-grade trading machine, blending precision, risk management, and cyberpunk DAFE visuals that make your charts glow like a neon skyline. Crafted with care and driven by community passion, this strategy stands out in a sea of generic scripts, offering traders a unique edge to outsmart institutional traps and navigate volatile markets. The Aurora Divergence indicator was a cult favorite for spotting price-OBV divergences with its aqua and fuchsia orbs, but traders craved a system to act on those signals with discipline and automation. This strategy delivers, layering advanced filters (z-score, ATR, multi-timeframe, session), dynamic risk controls (kill switches, adaptive stops/TPs), and a real-time dashboard to turn insights into profits. Whether you’re a newbie dipping into futures or a pro hunting reversals, this strat’s got your back with a beginner guide, alerts, and visuals that make trading feel like a sci-fi mission. Let’s dive into every detail and see why this original DAFE creation is a must-have. Why Traders Need This Strategy Futures markets are a battlefield—fast-paced, volatile, and riddled with institutional games that can wipe out undisciplined traders. From the April 28, 2025 NQ 1k-point drop to sneaky ES slippage, the stakes are high. Meanwhile, platforms are flooded with unoriginal, low-effort scripts that promise the moon but deliver noise. The Aurora Divergence – Quant Master rises above, offering: Unmatched Originality: A bespoke system built from the ground up, with custom divergence logic, DAFE visuals, and quant filters that set it apart from copycat clutter. Automation with Precision: Executes trades on divergence signals, eliminating emotional slip-ups and ensuring consistency, even in chaotic sessions. Quant-Grade Filters: Z-score, ATR, multi-timeframe, and session checks filter out noise, targeting high-probability reversals. Robust Risk Management: Daily loss and rolling drawdown kill switches, plus ATR-based stops/TPs, protect your capital like a fortress. Stunning DAFE Visuals: Aqua/fuchsia orbs, aurora bands, and a glowing dashboard make signals intuitive and charts a work of art. Community-Driven: Evolved from trader feedback, this strat’s a labor of love, not a recycled knockoff. Traders need this because it’s a complete, original system that blends accessibility, sophistication, and style. It’s your edge to trade smarter, not harder, in a market full of traps and imitators. 1. Divergence Detection (Core Signal Logic) The strategy’s core is its ability to detect bullish and bearish divergences between price and On-Balance Volume (OBV), pinpointing reversals with surgical accuracy. How It Works: Price Slope: Uses linear regression over a lookback (default: 9 bars) to measure price momentum (priceSlope). OBV Slope: OBV tracks volume flow (+volume if price rises, -volume if falls), with its slope calculated similarly (obvSlope). Bullish Divergence: Price slope negative (falling), OBV slope positive (rising), and price above 50-bar SMA (trend_ma). Bearish Divergence: Price slope positive (rising), OBV slope negative (falling), and price below 50-bar SMA. Smoothing: Requires two consecutive divergence bars (bullDiv2, bearDiv2) to confirm signals, reducing false positives. Strength: Divergence intensity (divStrength = |priceSlope * obvSlope| * sensitivity) is normalized (0–1, divStrengthNorm) for visuals. Why It’s Brilliant: - Divergences catch hidden momentum shifts, often exploited by institutions, giving you an edge on reversals. - The 50-bar SMA filter aligns signals with the broader trend, avoiding choppy markets. - Adjustable lookback (min: 3) and sensitivity (default: 1.0) let you tune for different instruments or timeframes. 2. Filters for Precision Four advanced filters ensure signals are high-probability and market-aligned, cutting through the noise of volatile futures. Z-Score Filter: Logic: Calculates z-score ((close - SMA) / stdev) over a lookback (default: 50 bars). Blocks entries if |z-score| > threshold (default: 1.5) unless disabled (useZFilter = false). Impact: Avoids trades during extreme price moves (e.g., blow-off tops), keeping you in statistically safe zones. ATR Percentile Volatility Filter: Logic: Tracks 14-bar ATR in a 100-bar window (default). Requires current ATR > 80th percentile (percATR) to trade (tradeOk). Impact: Ensures sufficient volatility for meaningful moves, filtering out low-volume chop. Multi-Timeframe (HTF) Trend Filter: Logic: Uses a 50-bar SMA on a higher timeframe (default: 60min). Longs require price > HTF MA (bullTrendOK), shorts < HTF MA (bearTrendOK). Impact: Aligns trades with the bigger trend, reducing counter-trend losses. US Session Filter: Logic: Restricts trading to 9:30am–4:00pm ET (default: enabled, useSession = true) using America/New_York timezone. Impact: Focuses on high-liquidity hours, avoiding overnight spreads and erratic moves. Evolution: - These filters create a robust signal pipeline, ensuring trades are timed for optimal conditions. - Customizable inputs (e.g., zThreshold, atrPercentile) let traders adapt to their style without compromising quality. 3. Risk Management The strategy’s risk controls are a masterclass in balancing aggression and safety, protecting capital in volatile markets. Daily Loss Kill Switch: Logic: Tracks daily loss (dayStartEquity - strategy.equity). Halts trading if loss ≥ $300 (default) and enabled (killSwitch = true, killSwitchActive). Impact: Caps daily downside, crucial during events like April 27, 2025 ES slippage. Rolling Drawdown Kill Switch: Logic: Monitors drawdown (rollingPeak - strategy.equity) over 100 bars (default). Stops trading if > $1000 (rollingKill). Impact: Prevents prolonged losing streaks, preserving capital for better setups. Dynamic Stop-Loss and Take-Profit: Logic: Stops = entry ± ATR * multiplier (default: 1.0x, stopDist). TPs = entry ± ATR * 1.5x (profitDist). Longs: stop below, TP above; shorts: vice versa. Impact: Adapts to volatility, keeping stops tight but realistic, with TPs targeting 1.5:1 reward/risk. Max Bars in Trade: Logic: Closes trades after 8 bars (default) if not already exited. Impact: Frees capital from stagnant trades, maintaining efficiency. Kill Switch Buffer Dashboard: Logic: Shows smallest buffer ($300 - daily loss or $1000 - rolling DD). Displays 0 (red) if kill switch active, else buffer (green). Impact: Real-time risk visibility, letting traders adjust dynamically. Why It’s Brilliant: - Kill switches and ATR-based exits create a safety net, rare in generic scripts. - Customizable risk inputs (maxDailyLoss, dynamicStopMult) suit different account sizes. - Buffer metric empowers disciplined trading, a DAFE signature. 4. Trade Entry and Exit Logic The entry/exit rules are precise, filtered, and adaptive, ensuring trades are deliberate and profitable. Entry Conditions: Long Entry: bullDiv2, cooldown passed (canSignal), ATR filter passed (tradeOk), in US session (inSession), no kill switches (not killSwitchActive, not rollingKill), z-score OK (zOk), HTF trend bullish (bullTrendOK), no existing long (lastDirection != 1, position_size <= 0). Closes shorts first. Short Entry: Same, but for bearDiv2, bearTrendOK, no long (lastDirection != -1, position_size >= 0). Closes longs first. Adaptive Cooldown: Default 2 bars (cooldownBars). Doubles (up to 10) after a losing trade, resets after wins (dynamicCooldown). Exit Conditions: Stop-Loss/Take-Profit: Set per trade (ATR-based). Exits on stop/TP hits. Other Exits: Closes if maxBarsInTrade reached, ATR filter fails, or kill switch activates. Position Management: Ensures no conflicting positions, closing opposites before new entries. Built To Be Reliable and Consistent: - Multi-filtered entries minimize false signals, a stark contrast to basic scripts. - Adaptive cooldown prevents overtrading, especially after losses. - Clean position handling ensures smooth execution, even in fast markets. 5. DAFE Visuals The visuals are a DAFE hallmark, blending function with clean flair to make signals intuitive and charts stunning. Aurora Bands: Display: Bands around price during divergences (bullish: below low, bearish: above high), sized by ATR * bandwidth (default: 0.5). Colors: Aqua (bullish), fuchsia (bearish), with transparency tied to divStrengthNorm. Purpose: Highlights divergence zones with a glowing, futuristic vibe. Divergence Orbs: Display: Large/small circles (aqua below for bullish, fuchsia above for bearish) when bullDiv2/bearDiv2 and canSignal. Labels show strength (0–1). Purpose: Pinpoints entries with eye-catching clarity. Gradient Background: Display: Green (bullish), red (bearish), or gray (neutral), 90–95% transparent. Purpose: Sets the market mood without clutter. Strategy Plots: - Stop/TP Lines: Red (stops), green (TPs) for active trades. - HTF MA: Yellow line for trend context. - Z-Score: Blue step-line (if enabled). - Kill Switch Warning: Red background flash when active. What Makes This Next-Level?: - Visuals make complex signals (divergences, filters) instantly clear, even for beginners. - DAFE’s unique aesthetic (orbs, bands) sets it apart from generic scripts, reinforcing originality. - Functional plots (stops, TPs) enhance trade management. 6. Metrics Dashboard The top-right dashboard (2x8 table) is your command center, delivering real-time insights. Metrics: Daily Loss ($): Current loss vs. day’s start, red if > $300. Rolling DD ($): Drawdown vs. 100-bar peak, red if > $1000. ATR Threshold: Current percATR, green if ATR exceeds, red if not. Z-Score: Current value, green if within threshold, red if not. Signal: “Bullish Div” (aqua), “Bearish Div” (fuchsia), or “None” (gray). Action: “Consider Buying”/“Consider Selling” (signal color) or “Wait” (gray). Kill Switch Buffer ($): Smallest buffer to kill switch, green if > 0, red if 0. Why This Is Important?: - Consolidates critical data, making decisions effortless. - Color-coded metrics guide beginners (e.g., green action = go). - Buffer metric adds transparency, rare in off-the-shelf scripts. 7. Beginner Guide Beginner Guide: Middle-right table (shown once on chart load), explains aqua orbs (bullish, buy) and fuchsia orbs (bearish, sell). Key Features: Futures-Optimized: Tailored for MNQ, NQ, MES, ES with point-value adjustments. Highly Customizable: Inputs for lookback, sensitivity, filters, and risk settings. Real-Time Insights: Dashboard and visuals update every bar. Backtest-Ready: Fixed qty and tick calc for accurate historical testing. User-Friendly: Guide, visuals, and dashboard make it accessible yet powerful. Original Design: DAFE’s unique logic and visuals stand out from generic scripts. How to Use Add to Chart: Load on a 5min MNQ/ES chart in TradingView. Configure Inputs: Adjust instrument, filters, or risk (defaults optimized for MNQ). Monitor Dashboard: Watch signals, actions, and risk metrics (top-right). Backtest: Run in strategy tester to evaluate performance. Live Trade: Connect to a broker (e.g., Tradovate) for automation. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Use bar replay (e.g., April 28, 2025 NQ drop) to test volatility handling. Disclaimer Trading futures involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Backtest results may not reflect live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred. Backtesting: Frame: 2023-09-20 - 2025-04-29 Fee Typical Range (per side, per contract) CME Exchange $1.14 – $1.20 Clearing $0.10 – $0.30 NFA Regulatory $0.02 Firm/Broker Commis. $0.25 – $0.80 (retail prop) TOTAL $1.60 – $2.30 per side Round Turn: (enter+exit) = $3.20 – $4.60 per contract Final Notes The Dskyz (DAFE) Aurora Divergence – Quant Master isn’t just a strategy—it’s a movement. Crafted with originality and driven by community passion, it rises above the flood of generic scripts to deliver a system that’s as powerful as it is beautiful. With its quant-grade logic, DAFE visuals, and robust risk controls, it empowers traders to tackle futures with confidence and style. Join the DAFE crew, light up your charts, and let’s outsmart the markets together! (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
Estrategia Pine Script®
por DskyzInvestments
1
Keltner Channel StrategyOverview The Keltner Channel Strategy is a powerful trend-following and mean-reversion system that leverages the Keltner Channels, EMA crossovers, and ATR-based stop-losses to optimize trade entries and exits. This strategy has proven to be highly effective, particularly when applied to Gold (XAUUSD) and other commodities with strong trend characteristics. 📈 How It Works This strategy incorporates two trading approaches: 1️⃣ Keltner Channel Reversal Trades – Identifies overbought and oversold conditions when price touches the outer bands. 2️⃣ Trend Following Trades – Uses the 9 EMA & 21 EMA crossover, with confirmation from the 50 EMA, to enter trades in the direction of the trend. 🔍 Entry & Exit Criteria 📊 Keltner Channel Entries (Reversal Strategy) ✅ Long Entry: When the price crosses below the lower Keltner Band (potential reversal). ✅ Short Entry: When the price crosses above the upper Keltner Band (potential reversal). ⏳ Exit Conditions: Long positions close when price crosses back above the mid-band (EMA-based). Short positions close when price crosses back below the mid-band (EMA-based). 📈 Trend Following Entries (Momentum Strategy) ✅ Long Entry: When the 9 EMA crosses above the 21 EMA, and price is above the 50 EMA (bullish momentum). ✅ Short Entry: When the 9 EMA crosses below the 21 EMA, and price is below the 50 EMA (bearish momentum). ⏳ Exit Conditions: Long positions close when the 9 EMA crosses back below the 21 EMA. Short positions close when the 9 EMA crosses back above the 21 EMA. 📌 Risk Management & Profit Targeting ATR-based Stop-Losses: Long trades: Stop set at 1.5x ATR below entry price. Short trades: Stop set at 1.5x ATR above entry price. Take-Profit Levels: Long trades: Profit target 2x ATR above entry price. Short trades: Profit target 2x ATR below entry price. 🚀 Why Use This Strategy? ✅ Works exceptionally well on Gold (XAUUSD) due to high volatility. ✅ Combines reversal & trend strategies for improved adaptability. ✅ Uses ATR-based risk management for dynamic position sizing. ✅ Fully automated alerts for trade entries and exits. 🔔 Alerts This script includes automated TradingView alerts for: 🔹 Keltner Band touches (Reversal signals). 🔹 EMA crossovers (Momentum trades). 🔹 Stop-loss & Take-profit activations. 📊 Ideal Markets & Timeframes Best for: Gold (XAUUSD), NASDAQ (NQ), Crude Oil (CL), and trending assets. Recommended Timeframes: 15m, 1H, 4H, Daily. ⚡️ How to Use 1️⃣ Add this script to your TradingView chart. 2️⃣ Select a 15m, 1H, or 4H timeframe for optimal results. 3️⃣ Enable alerts to receive trade notifications in real time. 4️⃣ Backtest and tweak ATR settings to fit your trading style. 🚀 Optimize your Gold trading with this Keltner Channel Strategy! Let me know how it performs for you. 💰📊
Estrategia Pine Script®
por adkhomepros
Pivot Points [SMRT Algo]Pivot Points is a free, innovative indicator designed to automatically detect and highlight key turning points on your TradingView charts through advanced candlestick pattern analysis. This indicator is perfect for traders seeking clear visual signals for potential trend reversals. How It Works: Candlestick Pattern Analysis: The indicator continuously scans for specific candlestick formations. It identifies a potential high pivot when a bullish candle (where the close is higher than the open) is immediately followed by a bearish candle (where the close is lower than the open). Conversely, a potential low pivot is detected when a bearish candle is followed by a bullish candle. Boxing the Price Range: Once a potential pivot is identified, the algorithm draws a box around the corresponding price range. This box captures the area where the price action is concentrated, serving as a zone of interest for the pivot. Confirmation of Major Pivots: The initial detection marks what we call a "minor pivot" with a temporary yellow box. The indicator then waits for subsequent price action. If the price fails to break out of this box—meaning it remains confined within the defined boundaries—the pivot is confirmed as a major pivot. At this stage, the yellow box changes color to green (or red, depending on whether it’s a high or low pivot), clearly marking the confirmed turning point. Pivot Sequence: The progression follows a clear sequence: Minor Pivot ➔ Yellow Box ➔ Major Pivot. This step-by-step visual guide helps traders quickly interpret the strength and significance of the pivot. Inputs: Show Labels: An input option allows you to toggle pivot labels on or off, so you can choose whether to display descriptive labels directly on your chart. Adjustable Colors: The colors of the pivot points—including the green and red boxes—are fully customizable via the input settings. This ensures that you can tailor the visual appearance of the indicator to match your personal charting style or trading strategy. Enhancing Entry and Exit Strategies Entry Points: Look to enter a trade when the indicator confirms a pivot (after the box changes color). A confirmed pivot could indicate that a reversal is underway, giving you a potential entry signal. Exit Points & Stop Losses: Use the boundaries of the pivot box to set stop losses. For example, if you’re in a long trade and the price approaches a confirmed resistance pivot, consider this a signal to tighten stops or exit, as the trend may reverse. Confluence with Other Indicators: Combine the pivot point signals with other tools like RSI, MACD, or volume indicators. If multiple signals point to a reversal at the same pivot, it strengthens your confidence in the trade decision. Trading Strategy Applications Reversal Trading: Use confirmed pivot points as indicators for potential reversals. Enter trades when the price action validates the pivot point, anticipating that the market is turning. Range Trading: When the price oscillates within a defined pivot box, you can use the top and bottom of the box as potential boundaries for a range-trading strategy. Breakout Trading: Conversely, if the price breaks out of a pivot box, this may signal the start of a new trend. You can use this breakout as a trigger for entering a position in the direction of the breakout. The indicator highlights potential reversal zones with clearly marked boxes and labels, making it easier to spot key turning points and manage trades effectively. Pivot Points removes the guesswork by automatically scanning for and confirming pivot points based on rigorous candlestick analysis. Whether you're a day trader or a swing trader, Pivot Points provides actionable insights into market dynamics, helping you to better time entries and exits.
Indicador Pine Script®
por SMRTAlgo
12
Flux Charts - SFX Automation💎 GENERAL OVERVIEW The SFX Automation is a powerful and versatile tool designed to help traders rigorously test their trading strategies against historical market data. With various advanced settings, traders can fine-tune their strategies, assess performance, and identify key improvements before deploying in live trading environments. This tool offers a wide range of configurable settings, explained within this write-up. Features of the new SFX Automation : Step By Step : Configure your strategy step by step, which will allow you to have OR & AND logic in your strategies. Highly Configurable : Offers multiple parameters for fine-tuning trade entry and exit conditions. Multi-Timeframe Analysis : Allows traders to analyze multiple timeframes simultaneously for enhanced accuracy. Provides advanced stop-loss, take-profit, and break-even settings. Incorporates Buy & Sell signals, with settings like Signal Sensitivity, Strength, Time Weighting, Dynamic TP & SL Methods and more for refined strategy execution. 🚩 UNIQUENESS The SFX Automation stands out from conventional backtesting tools due to its unparalleled flexibility, precision, and advanced trading logic integration. Key factors that make it unique include: ✅ Comprehensive Strategy Customization – Unlike traditional backtesters that offer basic entry and exit conditions, SFX Automation provides a highly detailed parameter set, allowing traders to fine-tune their strategies with precision. ✅ Multi-Timeframe Signals – This is the first-ever tool that allows traders to backtest Buy & Sell Signals on multiple timeframes. ✅ Customizable Take-Profit Conditions – Offers various methods to set take-profit exits, including using core features from SFX Algo, and dynamic exits like signal rating upgrades/downgrades, enabling traders to tailor their exit strategies to specific market behaviors. ✅ Customizable Stop-Loss Conditions – Provides several ways to set up stop losses, including using concepts from SFX Algo and trailing stops or dynamic exits like signal rating upgrades/downgrades, allowing for dynamic risk management tailored to individual strategies. ✅ Integration of External Indicators – Allows the inclusion of other indicators or data sources from TradingView for creating strategy conditions, enabling traders to enhance their strategies with additional insights and data points. By integrating these advanced features, SFX Automation ensures that traders can rigorously test and optimize their strategies with great accuracy and efficiency. 📌 HOW DOES IT WORK ? The first setting you will want to set it the pyramiding setting. This setting controls the number of simultaneous trades in the same direction allowed in the strategy. For example, if you set it to 1, only one trade can be active in any time, and the second trade will not be entered unless the first one is exited. If it is set to 2, the script will handle both of them at the same time. Note that you should enter the same value to this pyramiding setting, and the pyramiding setting in the "Properties" tab of the script for this to work. You can enable and set a backtesting window that will limit the entries to between the start date & end date. Entry Conditions From the "Long Conditions" or the "Short Conditions" groups, you can set your position entry conditions. For settings like "initial capital" or "order size", you can open the "Properties" tab, where these are handled. The SFX Algo can use the following conditions for entry conditions : 1. Buy Signal (Any, or 1-5 ☆) This condition is triggered when a Buy Signal occurs. Other timeframes are supported with this condition. 2. Buy | TP (1, 2 or 3) This condition is triggered when a TP signal of any Buy signal occurs. 3. Buy | SL This condition is triggered when a SL signal of any Buy signal occurs. 4. Buy | Rating Upgrade This condition is triggered when the rating of a buy signal is increased. 5. Buy | Rating Downgrade This condition is triggered when the rating of a buy signal is decreased. 6. Sell Signal (Any, or 1-5 ☆) This condition is triggered when a Sell Signal occurs. Other timeframes are supported with this condition. 7. Sell | TP (1, 2 or 3) This condition is triggered when a TP signal of any Sell signal occurs. 8. Sell | SL This condition is triggered when a SL signal of any Sell signal occurs. 9. Sell | Rating Upgrade This condition is triggered when the rating of a sell signal is increased. 10. Sell | Rating Downgrade This condition is triggered when the rating of a sell signal is decreased. 11. Retracement Wave Retest (Bullish or Bearish) A retest on the Retracement Wave occurs when the price temporarily moves against the prevailing trend, touching or entering the wave before continuing in the original trend direction. This retest serves as a confirmation that the wave is acting as dynamic support or resistance. 12. Retracement Wave Retracement (Bullish or Bearish) A retracement on the Retracement Wave occurs when the price touches the wave, the condition is triggered immediately. 13. Volatility Bands Retest (Bullish or Bearish) A retest of Volatility Bands occurs when the price initially moves beyond the bands, then pulls back to "retest" the band it just broke through before continuing its move. This can provide traders with confirmation of a breakout or signal a potential reversal. 14. Volatility Bands Retracement (Bullish or Bearish) A retracement on the Volatility Bands occur when the price touches the band, the condition is triggered immediately. 🕒 TIMEFRAME CONDITIONS The SFX Automation supports Multi-Timeframe (MTF) features for Buy & Sell signals. When setting an entry condition, you can also choose the timeframe. External Conditions Users can use external indicators on the chart to set entry conditions. The second dropdown in the external condition settings allows you to choose a conditional operator to compare external outputs. Available options include: Less Than or Equal To: <= Less Than: < Equal To: = Greater Than: > Greater Than or Equal To: >= The position entry conditions work like this ; Each side has 3 SFX Algo conditions and 2 Source conditions. Each condition can be enabled or disabled using the checkbox on the left side of them. You can select which timeframe this condition should work on for Buy & Sell signals. If you select "Chart", the condition will work for the chart's current timeframe. Lastly select the step of this condition from 1 to 6. The Source Condition The last condition on each side is a source condition that is different from the others. Using this condition, you can create your own logic using other indicators' outputs on your chart. For example, suppose that you have an EMA indicator in your chart. You can have the source condition to something like "EMA > high". The Step System Each condition has a step number, and conditions are in topological order based on them. The conditions are executed step by step. This means the condition with step 2 cannot be executed before the condition with step 1 is executed. Conditions with the same step numbers have "OR" logic. This means that if you have 2 conditions with step 3, the condition with step 4 can trigger after only one of the step 3 conditions is executed. ➕ OTHER ENTRY FEATURES The SFX Automation allows traders to choose when to execute trades and when not to execute trades. 1. Only Take Trades This setting lets users specify the time period when their strategy can open or execute trades. 2. Don't Take Trades This setting lets users specify time periods when their strategy can't open or execute trades. ↩️ EXIT CONDITIONS 1. Exit on Opposite Signal When enabled, a long position will close when short entry conditions are met, and a short position will close when long entry conditions are met. 2. Exit on Session End When enabled, positions will be closed at the end of the trading session. 📈 TAKE PROFIT CONDITIONS There are several methods available for setting take profit exits and conditions. 1. Entry Condition TP Users can use entry conditions as triggers for take profit exits. This setting can be found under the long and short exit conditions. 2. Fixed TP Users can set a fixed TP for exits. This setting can be found under the long and short exit conditions. Users can choose between the following: Price: This method triggers a TP exit when price reaches a specified level. For example, if you set the Price TP to 10 and buy NASDAQ:TSLA at $190, the trade will automatically exit when the price reaches $200 ($190 + $10). Ticks: This method triggers a TP exit when price moves a specified number of ticks. Percentage (%): This method triggers a TP exit when price moves a specified percentage. ATR: This method triggers a TP exit based on a specified multiple of the Average True Range (ATR). 🧩EXIT PERCENTAGES For each 3 dynamic take-profit conditions, you can set the amount of the position to exit in terms of percentage. It's important to make sure that the total of the exit percentages are 100%. 📉 STOP LOSS CONDITIONS There are several methods available for setting stop-loss exits and conditions. 1. Entry Condition SL Users can use entry conditions as triggers for stop-loss exits. This setting can be found under the long and short exit conditions. 2. Fixed SL Users can set a fixed SL for exits. This setting can be found under the long and short exit conditions. Users can choose between the following: Price: This method triggers a SL exit when price reaches a specified level. For example, if you set the Price SL to 10 and buy NASDAQ:TSLA at $200, the trade will automatically exit when the price reaches $190 ($200 - $10). Ticks: This method triggers a SL exit when price moves a specified number of ticks. Percentage (%): This method triggers a SL exit when price moves a specified percentage. ATR: This method triggers a SL exit based on a specified multiple of the Average True Range (ATR). 3. Trailing Stop An explanation & example for the trailing stop feature is present on the write-up within the next section. Exit conditions have the same logic of constructing conditions like the entry ones. You can construct a Take-Profit Condition & a Stop-Loss Condition. Note that the Take-Profit condition will only work if the position is in profit, regardless of if it's triggered or not. The same applies for the Stop-Loss condition, meaning that it will only work if the position is in loss. You can also set a Fixed TP & Fixed SL based on the price movement after the position is entered. You have options like "Price", "Ticks", "%", or "Average True Range". For example, you can set a Fixed TP like "5%", and the position will be entered once it moves 5% up in a long position. Trailing Stop For the Fixed SL, you also have a "Trailing" stop option, which you can set it's activation level as well. The Trailing stop activation level and it's value are expressed in ticks. Check this scenerio for an example : We have a ticker with a tick value of $1. Our Trailing Stop is set to 10 ticks, and the activation level is set to 30 ticks. We buy 1 contract when the price is $100. When the price becomes $110, we are in $10 (10 ticks) profit and the trailing stop is now activated. The current price our stop's on is $110 - $30 (30 ticks), which is the level of $80. The trailing stop will only move if the price moves up the highest high the price has been after we entered the position. Let's suppose that price moves up $40 right after our trailing stop is activated. The price will now be $150, and our trailing stop will sit on $150 - $30 (30 ticks) = $120. If the price is down the $120 level, our stop loss will be triggered. There is also a "Hard SL" option designed for a backup stop-loss when trailing stops are enabled. You can enable & set this option and if the price goes down before our trailing stop even activates, the position will be exited. You can also move stop-loss to the break-even (entry price of the position) after a certain profit is achieved using the last setting of the exit conditions. Note that for this to work, you will need to have a Fixed SL setup. ➕ OTHER EXIT FEATURES 1. Move Stop Loss to Breakeven This setting allows the strategy to automatically move the SL to Breakeven (BE) when the position is in profit by a certain amount. Users can choose between the following: Price: This method moves the SL to BE when price reaches a specified level. Ticks: This method moves the SL to BE when price moves a specified number of ticks. Percentage (%): This method moves the SL to BE when price moves a specified percentage. ATR: This method moves the SL to BE when price moves a specified multiple of the Average True Range (ATR). Example Entry Scenario To give an example , check this scenario; out conditions are : LONG CONDITIONS Buy Signal Any☆, Step 1 Bullish R. Wave Retest, Step 2 Bullish V. Bands Retest, Step 2 open > close, Step 3 First, the strategy needs to detect a Buy Signal with any star rating in order to start working. After it's detected, now it's looking for either a Bullish R. Wave Retest, or a Bullish V. Bands Retest to proceed to the next step, the reason for this is that they both have the same step number. After one of them is detected, the strategy will consistently check candlesticks for the condition open > close. If a bullish candlestick occurs, a long position will be entered. ⏰ ALERTS This indicator uses TradingView's strategy alert system. All entries and exits will be sent as an alert if configured. It's possible to further customize these alerts to your liking. For more information, check TradingView's strategy alert customization page: www.tradingview.com ⚙️ SETTINGS 1. Backtesting Settings Pyramiding: Controls the number of simultaneous trades allowed in the strategy. This setting must have the same value that is entered on the script's properties tab on the settings pane. Enable Custom Backtesting Period: Restricts backtesting to a specific date range. Start & End Time Configuration: Define precise start and end dates for historical analysis. 2. Algorithm Settings Sensitivity: The sensitivity setting is a key parameter that influences the number of signals the SFX Algo generates. By adjusting this parameter, you can control the frequency of signals produced by the algorithm. Signal Strength: The Signal Strength setting filters signals based on their quality, allowing traders to focus on the most reliable opportunities. This feature helps traders balance the quantity and reliability of the algorithm’s signals to suit their trading strategy. Time Weighting: The Time Weighting setting determines how the SFX Algo evaluates historical market data to generate signals. a) Recent Trends Focuses on the most recent movements for short-term analysis. This setting is good for scalpers and intraday traders who need to react quickly to market changes. b) Mixed Trends Balances recent and historical price movements for a comprehensive market view. This setting is well-suited for swing traders and those who want to capture medium-term opportunities by combining the benefits of short-term responsiveness with the reliability of long-term trends. c) Long-term Trends Relies on extended historical market data to identify broader market trends, making it an excellent choice for traders focused on long-term strategies. Minimum Star Rating: The Minimum Star Rating setting allows you to filter signals based on their strength, showing only those that meet or exceed your chosen threshold. For instance, setting the minimum star rating to 3 ensures you only receive signals with a rating of 3 stars or higher. 3. Take Profit / Stop Loss Methods Key Levels The Key Levels method uses pivot points to set take profit and stop-loss levels. The TP and SL levels are shown when a new signal is generated. Volatility Bands This TP/SL method uses the Volatility Bands overlay to set dynamic TP and SL levels. These levels are not predetermined so they will not be shown in advance when a signal is generated. Signal Rating Sets take profit and stop-loss levels based on changes in a signal's rating strength. These levels are not predetermined so they will not be shown in advance when a signal is generated. Auto Stop-Loss The auto method can only be applied to the SL. The auto method allows the algorithm to detect SL automatically when a momentum shift is detected. You can adjust the risk tolerance of the Auto SL by adjusting the ‘Auto Risk Tolerance’ setting. You can choose between Low, Medium, and High. A high-risk tolerance will result in stop losses being triggered less often. 4. Entry Conditions for Long & Short Trades Multiple Conditions (1-6): Configure up to six independent conditions per trade direction. Timeframe Specification: Choose between timeframes for Buy & Sell signals. Trade Execution Filters: Restrict trades within specific trading sessions. 5. Exit Conditions for Long & Short Trades Exit on Opposite Signal: Automatically exit trades upon opposite trade conditions. Exit on Session End: Closes all positions at the end of the trading session. Multiple Take-Profit (TP) and Stop-Loss (SL) Configurations: TP/SL based on % move, ATR, Ticks, or Fixed Price. Hard SL option for additional risk control. Move SL to BE (Break Even) after a certain profit threshold.
Estrategia Pine Script®
por fluxchart
4
SL Hunting Detector📌 Step 1: Identify Liquidity Zones The script plots high-liquidity zones (red) and low-liquidity zones (green). These are areas where big players target stop-losses before reversing the price. Example: If price is near a red liquidity zone, expect a potential stop-loss hunt & reversal downward. If price is near a green liquidity zone, expect a potential stop-loss hunt & reversal upward. 📌 Step 2: Watch for Stop-Loss Hunts (Fakeouts) The indicator marks stop-loss hunts with red (bearish) or green (bullish) arrows. When do stop-loss hunts occur? ✅ A long wick below support (with high volume) = Stop hunt before reversal upward. ✅ A long wick above resistance (with high volume) = Stop hunt before reversal downward. Confirmation: Volume must spike (volume > 1.5x the average volume). ATR-based wicks must be longer than usual (showing a stop-hunt trap). 📌 Step 3: Enter a Trade After a Stop-Hunt 🔹 Bullish Trade (Buying a Dip) If a green arrow appears (stop-hunt below support): ✅ Enter a long (buy) trade at or just above the wick’s recovery level. ✅ Stop-loss: Below the wick’s low (avoid getting hunted again). ✅ Take-profit: Next resistance level or mid-range of the liquidity zone. 🔹 Bearish Trade (Shorting a Fakeout) If a red arrow appears (stop-hunt above resistance): ✅ Enter a short (sell) trade at or just below the wick’s rejection level. ✅ Stop-loss: Above the wick’s high (avoid getting stopped out). ✅ Take-profit: Next support level or mid-range of the liquidity zone. 📌 Step 4: Set Alerts & Automate ✅ The indicator triggers alerts when a stop-hunt is detected. ✅ You can set TradingView to notify you instantly when: A bullish stop-hunt occurs → Look for long entry. A bearish stop-hunt occurs → Look for short entry. 📌 Example Trade Setup Example (BTC Long Trade on Stop-Hunt) BTC is near $40,000 support (green liquidity zone). A long wick drops to $39,800 with a green arrow (bullish stop-hunt signal). Volume spikes, and price recovers quickly back above $40,000. Trade entry: Buy at $40,050. Stop-loss: Below wick ($39,700). Take-profit: $41,500 (next resistance). Result: BTC pumps, stop-loss remains safe, and trade profits. 🔥 Final Tips Always wait for confirmation (don’t enter blindly on signals). Use higher timeframes (15m, 1H, 4H) for better accuracy. Combine with Order Flow tools (like Bookmap) to see real liquidity zones. 🚀 Now try it on TradingView! Let me know if you need adjustments. 📈🔥
Indicador Pine Script®
por arpanghorai54860
[3Commas] DCA Bot TesterDCA Bot Tester 🔷What it does: A tool designed to simulate the behavior of a Dollar Cost Averaging (DCA) strategy based on input signals from a source indicator. Additionally, it enables you to send activation signals to 3Commas Bots via TradingView webhooks. 🔷Who is it for: This tool is ideal for those who want a visual representation and strategy report of how a DCA Bot would perform under specific conditions. By adjusting the parameters, you can assess whether the strategy aligns with your risk/reward expectations before implementation, helping you save time and protect your capital. 🔷How does it work: The tool leverages a pyramiding function to simulate price averaging, mimicking how a DCA Bot operates. It calculates volume-based averaging and, upon reaching the target, closes the positions. Conversely, if the target isn't reached, a Stop Loss is triggered, potentially resulting in significant losses if improperly configured. 🔷Why It’s Unique Easy visualization of DCA Bot entry and exit points according to user preferences. DCA Bot Summary table same as the one shown in the new 3Commas interface. Use plots from other indicators as Entry Trigger Source, with a small modification of the code. Option to Review message format before sending Signals to 3Commas. Compatibility with Multi-Pair, and futures contract pairs. Option to filter signals by session and day according to the user’s timezone. 👉 Before continuing with the explanation of the tool, please take a few minutes to read this information, paying special attention to the risks of using DCA strategies. DCA Bot: What is it, how does it work, and what are its advantages and risks? A DCA Bot is an automated tool designed to simplify and optimize your trading operations, particularly in cryptocurrencies. Based on the concept of Dollar Cost Averaging (DCA) , this bot implements scaled strategies that allow you to distribute your investments intelligently. The key lies in dividing your capital into multiple orders, known as base orders and safety orders, which are executed at different price levels depending on market conditions. These bots are highly customizable, meaning you can adapt them to your goals and trading style, whether you're operating Long (expecting a price increase) or Short (expecting a price decrease). Their primary purpose is to reduce the impact of entries that move against the estimated direction and ensure you achieve a more favorable average price. 🔸 Key Features of DCA Bots Customizable configuration: DCA bots allow you to adjust the size of your initial investment, the number of safety orders, and the price levels at which these orders execute. These orders can be equal or incremental, depending on your risk tolerance. Scaled safety orders: If the asset's price moves against your position, the bot executes safety orders at strategic levels to average your entry price and increase your chances of closing in profit. Automatic Take Profit: When the predefined profit level is reached, the bot closes the position, ensuring net gains by averaging all entries made using the DCA strategy. Stop Loss option: To protect your capital, you can set a stop loss level that limits losses if the market moves drastically against your position. Flexibility: Bots can integrate with 3Commas technical indicators or external signals from TradingView, allowing you to trade in any trend, whether bullish or bearish. Support for multiple assets: You can trade cryptocurrency pairs and exchanges compatible with 3Commas, offering a wide range of possibilities to diversify your strategies. ✅ Advantages of DCA Bots Time-saving automation: DCA bots eliminate the need for constant market monitoring, executing your trades automatically and efficiently based on predefined settings. Favorable averages in volatile markets: By averaging your entries, the bot can offer more competitive prices even under adverse market conditions. This increases your chances of recovering a position and closing it profitably. Advanced capital management: With customizable settings, you can adjust the size of base and safety orders to optimize capital usage and reduce risk. Additional protection: The ability to set a stop loss ensures your losses are limited, safeguarding your capital in extreme scenarios. ⚠️ Risks of Using a DCA Bot Requires significant capital: Safety orders can accumulate quickly if the price moves against your position. This issue is compounded if increasing amounts are used for safety orders, which can immobilize large portions of capital in adverse markets. Markets lacking clear direction: During consolidation periods or erratic movements, the bot may generate unrealized losses and make position recovery difficult. Opportunity cost: Investing in an asset that doesn't show favorable behavior can prevent you from seizing opportunities in other markets. Emotional pressure: Large investments in advanced stages of the DCA strategy can cause stress, especially if an asset takes too long to reach your take profit level. Dependence on market recovery: DCA assumes that the price will eventually move in your favor, which does not always happen, especially in assets without solid fundamentals. 📖 Key Considerations for Effectively Using a DCA Bot Use small amounts for your base and safety orders: Setting small initial orders not only limits capital usage but also allows you to manage multiple bots simultaneously, maximizing portfolio diversification. Capital management: Define a clear budget and never risk more than you are willing to lose. This is essential for maintaining sustainable operations. Select assets with strong fundamentals: Apply DCA to assets you understand and that have solid fundamentals and a proven historical growth record. Additionally, analyze each cryptocurrency's fundamentals: What problem does it solve? Does it have a clear use case? Is it viable in the long term? These questions will help you make more informed decisions. Diversification: Do not concentrate all your capital on a single asset or strategy. Spread your risk across multiple bots or assets. Monitor regularly: While bots are automated and eliminate the need to monitor the market constantly, it is essential to monitor the bots themselves to ensure they are performing as expected. This includes reviewing their performance and making adjustments if market conditions change. Remember, the goal is to automate trades, but active bot management is crucial to avoid surprises. A DCA Bot is a powerful tool for traders looking to automate their strategies and reduce the impact of market fluctuations. However, like any tool, its success depends on how it is configured and used. By applying solid capital management principles, carefully selecting assets, and using small amounts in your orders, you can maximize its potential and minimize risks. 🔷FEATURES & HOW TO USE 🔸Strategy: Here you must select the type of signal you are going to analyze and send signals to the DCA Bot, either Long for buy signals or Short for sell signals. This must match the Bot created in 3Commas. 🔸Add a Source Indicator for Entry Triggers Tradingview allows us to use indicator plots as a source in other indicators, we will use this functionality so that the buy or sell signals of an indicator are processed by the DCA Bot Tester. In this EXAMPLE we will use a simple strategy that uses a Donchian Channel (DC) and an Exponential Moving Average (EMA). Trigger to buy or long signal will be when: the price closes above the previous upper level and the average of the upper and lower level (basis) is greater than the EMA. Trigger sell or short signal will be when: the price closes below the previous lower level and the average of the upper and lower level (basis) is less than the EMA. trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed Then we create the plots that will be used as input source in the DCA Bot Tester indicator. When a buy condition is given the plot "🟢 Trigger Buy" will have a value of 1 otherwise it will remain at 0. When a sell condition is given the plot "🔴 Trigger Sell" will have a value of -1 otherwise it will remain at 0. plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window) plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window) Here you have the complete code so you can use it and do tests. Basically you just have to define the buy or sell conditions of your preferred indicator or strategy and then create the plots with the same format that will be used in DCA Bot Tester. //@version=6 indicator(title="Simple Strategy Example", overlay= false) // Indicator and Signal Triggers length = input.int(10, title = "DC Length" , display = display.none) length_ema = input.int(50, title = "EMA Length", display = display.none) lower = ta.lowest (length) upper = ta.highest(length) ema = ta.ema (close, length_ema) basis = math.avg (upper, lower) plot(basis, "Basis", color = color.orange, display = display.all-display.status_line) plot(upper, "Upper", color = color.blue , display = display.all-display.status_line) plot(lower, "Lower", color = color.blue , display = display.all-display.status_line) plot(ema , "EMA" , color = color.red , display = display.all-display.status_line) candlecol = open < close ? color.teal : color.red plotcandle(open, high, low, close, title='Candles', color = candlecol, wickcolor = candlecol, bordercolor = candlecol, display = display.pane) trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed plotshape(trigger_buy ?close:na, title="Label Buy" , style=shape.labelup , location= location.belowbar, color=color.green, text="B", textcolor=color.white, display=display.pane) plotshape(trigger_sell?close:na, title="Label Sell", style=shape.labeldown, location= location.abovebar, color=color.red , text="S", textcolor=color.white, display=display.pane) // ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― // 👇 Plots to be used in the DCA Bot Indicator as source triggers. // ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window) plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window) To use the example code Open the Pine Editor, paste the code and then click Add to chart. Then in the Plot Entry Trigger Source option, we will select 🟢 Trigger Buy, as the plot that will give us the buy signals when it is worth 1, otherwise for the sell signals you must change the value to -1 in the Plot Entry Trigger Value and remember to change the strategy mode to Short. 🔸DCA Settings: Here you need to configure the DCA values ​​of the strategy, you can see the meaning of each value in the Settings Section. Once you are satisfied with the tests configure the 3Commas DCA Bot with the same values ​​so that the Summary Table matches the 3Commas Table. Pay close attention to the Total Volume that the Bot will use, according to the amount of Safety Orders you are going to execute, and that all the values ​​in the table adapt to your risk tolerance. 🔸DCA Bot Deal Start: Once you create the Bot in 3Commas with the same settings it will give you a Deal Start Message, you must copy and paste it in this section, verify that it is the same in the summary table, this is used to be sent through tradingview alerts to the Bot and it can process the signals. 🔸DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on. You must activate it if you want to use the signals in a DCA Bot Multi-pair. In the text box you must enter (using the 3Commas format) the symbol for each pair before you create the alert so that the bot understands which pair to work on. In the following image we would be configuring the indicator to send a signal to activate the bot in the BTCUSDT pair using the given format it would be USDT_BTC, but if we wanted to send a signal in another pair we must change the pair in the chart and also in the configuration, an example with ETHUSDT would be USDT_ETH. After this we could create the alert, and the Mult-Pair Bot would detect it correctly. 🔸Strategy Tester Filters: This is useful if you want to test the strategy's result on a certain time window, the indicator will only enter this range. If disabled it will use all historical data available on the chart. If you are going to use the tool to send signals, make sure to disable the Use Custom Test Period. If you want the entries to only run at a certain time and day, in that case make sure that the timezone matches the one you are using in the chart. 🔸Properties: Adjust your initial capital and exchange commission appropriately to achieve realistic results. 🔸Create alerts to trigger the DCA Bot Check that the message is the same as the one indicated by the DCA Bot. In the case of Multi-Pair, enable the option to add the symbol with the correct format. When creating an alert, select Any alert() function call. Enter the any name of the alert. Open the Notifications tab and enable Webhook URL Paste Webhook URL provided by 3Commas looking in the section How to use TradingView custom signals. Done, alerts will be sent with the correct format automatically to 3Commas. 🔷 INDICATOR SETTINGS 🔸3Commas DCA Bot Settings Strategy: Select the direction of the strategy to test Long or Short, this must be the same as the Bot created in 3Commas, so that the signals are processed properly. DCA Bot Deal Start: Copy and paste the message for the deal start signal of the DCA Bot you created in 3Commas. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the 3Commas bot so that it can process properly so that it executes and starts the trade. DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on. DCA Bot Summary Table: Here you can activate the display of table as well as change the size, position, text color and background color. 🔸Source Indicator Settings Plot Entry Trigger Source: Select a Plot for Entries of the Source Indicator. This refers to the Long or Short entry signal that the indicator will use as BO (Base Order). Plot Entry Trigger Value: Value of the Source Indicator to Deal Start Condition Trigger. The default value is 1, this means that when a signal is given for example Long in the source indicator, we will use 1 or for Short -1 if there is no signal it will be 0 so it will not execute any entry, please review the example code and adjust the indicator you are going to use in the same way. 🔸DCA Settings Base Order: The Base Order is the first order the bot will create when starting a new deal. Safety Order: Enter the amount of funds your safety orders will use to average the cost of the asset being traded.Safety orders are also known as Dollar Cost Averaging and help when prices move in the opposite direction to your bot's take profit target. Safety Orders Deviation %: Enter the percentage difference in price to create the first Safety Order. All Safety Orders are calculated from the price the initial Base Order was filled on the exchange account. Safety Orders Max Count: This is the total number of Safety Orders the bot is allowed to use per deal that is opened. All Safety Orders created by the bot are placed as Limit Orders on the exchange's order book. Safety Orders Volume Scale: The Safety Order Volume Scale is used to multiply the amount of funds used by the last Safety Order that was created. Using a larger amount of funds for Safety Orders allows your bot to be more aggressive at Dollar Cost Averaging the price of the asset being traded. Safety Orders Step Scale: The Safety Order Step Scale is used to multiply the Price Deviation percentage used by the last Safety Order placed on the exchange account. Using a larger value here will reduce the amount of Safety Orders your bot will require to cover a larger move in price in the opposite direction to the active deal's take profit target. Take Profit %: The Take Profit section offers tools for flexible management of target parameters: automatic profit upon reaching one or more target levels in percentage. Stop Loss % | Use SL: To enable Stop Loss, please check the "Use SL" box. This is the percentage that price needs to move in the opposite direction to close the deal at a loss. This must be greater than the sum of the deviations from the safety orders. 🔸Strategy Tester Filters Use Custom Test Period: When enabled signals only works in the selected time window.. If disabled it will use all historical data available on the chart. Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze. Session Filter | Days | Background: Here you can choose a time zone in which signals will be sent or your strategy will be tested, as well as the days and a background of it. It is important that you use the same timezone as your chart so that it matches. 👨🏻‍💻💭 If this tool helps you, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions. _________________________________________________________________ The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Estrategia Pine Script®
por 3Commas
8
Velocity/Volatility/Volume StrategyThe "Vel/Vty/Vol Strategy" is a momentum-based trading approach designed to take advantage of strong price movements that are confirmed by both volatility and volume (if enabled). It provides a high level of customization, allowing traders to adjust various settings based on market conditions and individual preferences. By combining three critical indicators—velocity, volatility (measured through Bollinger Band Width), and an optional volume filter—the strategy generates trade signals for both long and short positions. Here’s a comprehensive explanation of how the strategy works, how the parameters can be customized, and how those adjustments benefit users. At its core, the strategy focuses on velocity, which measures the speed at which price is changing over time. This is a key indicator of momentum, with a "StrongUp" signal indicating bullish momentum and a "StrongDown" signal suggesting bearish momentum. In addition to velocity, the strategy factors in acceleration, which helps gauge whether momentum is building or weakening. The second essential component is Bollinger Band Width (BBW), which measures volatility in the market. When the BBW expands, it signals increasing volatility, a condition that must be met in combination with a velocity signal to generate a trade. Lastly, the strategy includes an optional Volume Oscillator to filter trades. When this volume filter is enabled, trades will only be executed if there’s an increase in volume, further validating market activity. The strategy generates long and short trade signals based on specific conditions. A long trade is triggered when there is a strong upward velocity, accompanied by an increase in Bollinger Band Width, indicating both momentum and heightened volatility. If the volume filter is toggled on, a rise in volume must also confirm the signal. Similarly, a short trade is initiated when a strong downward velocity is detected, again paired with an increase in volatility and, optionally, a volume rise. This ensures that trades occur during periods of heightened market activity, reducing the likelihood of false signals. To help manage risk, the strategy includes several customizable tools. Users can set take profit levels to automatically close positions and lock in gains once a predefined profit percentage is reached. For example, if a 2% take profit is set, a long position will be closed once the price has risen by 2%. Additionally, a trailing take profit option can be enabled, allowing the strategy to dynamically adjust the take-profit target as the market moves in the user’s favor. This ensures that profits are locked in as long as the market continues to trend positively, while providing protection in case of a reversal. The strategy also includes a trailing stop-loss feature, which adjusts the stop price as the market moves in favor of the trade, helping to minimize losses and protect gains. The strategy offers a variety of parameters that can be customized to suit different trading styles and market conditions. The velocity lookback period controls how far back the strategy looks to calculate velocity. A shorter lookback makes the strategy more sensitive to recent price changes, generating more signals, which can benefit day traders or those seeking to capture short-term price swings. Conversely, a longer lookback smooths out the velocity calculation, reducing false signals and making the strategy more suitable for traders seeking to capture larger trends. Similarly, the Bollinger Band Width (BBW) length can be adjusted to control how far back the strategy looks to calculate volatility. A shorter BBW length makes the strategy more sensitive to volatility spikes, useful in rapidly changing markets. In contrast, a longer BBW length filters out short-term noise and focuses on more sustainable volatility shifts, better suited for slower, more stable markets. The volume filter is another powerful feature that can be toggled on or off. When turned on, the strategy will only execute trades if there is an increase in volume alongside velocity and volatility signals. This helps filter out false signals in low-volume markets, ensuring that price movements are supported by actual market activity. If the volume filter is turned off, the strategy focuses purely on price and volatility changes, which can be useful in markets where volume data is unreliable or less relevant. The take profit percentage can be adjusted to define how aggressively or conservatively profits are locked in. A lower take profit percentage allows traders to capture smaller, quicker profits, which can be advantageous in volatile markets. A higher take profit percentage suits traders who prefer to capture larger moves, allowing them to stay in trades longer to benefit from extended trends. Similarly, the trailing take profit percentage determines how tightly the strategy follows market prices as they move in favor of the trade. A tighter trailing percentage ensures that profits are locked in quickly, while a wider trailing percentage gives trades more room to run, ideal for capturing large trends. The stop loss percentage is another key setting that controls how much risk a trader is willing to take before the position is closed. A tighter stop loss minimizes losses but may result in more frequent stop-outs, particularly in volatile markets. A wider stop loss provides more room for trades to develop, which is useful for traders aiming to capture longer trends despite short-term fluctuations. Additionally, the velocity thresholds can be adjusted to set how sensitive the strategy is to price movements. Lower thresholds increase sensitivity, generating more signals in fast-moving markets, while higher thresholds filter out weaker signals, focusing on larger momentum shifts. The strategy also allows users to define a time range during which it is active, offering flexibility in backtesting and optimizing for specific market conditions. By limiting the strategy to certain periods, users can tailor it to seasonal trends or historical data that matches their current trading environment. The flexibility of this strategy makes it suitable for a wide range of traders. Day traders can benefit from adjusting the velocity and BBW lookback periods, tightening take profit and stop loss settings to capture short, fast price movements in highly volatile markets. Trend traders can lengthen the lookback periods and widen the velocity thresholds to capture larger, sustained moves while riding out short-term volatility. Traders with a lower risk tolerance can enable the volume filter and tighten stop losses to reduce false signals and minimize losses. On the other hand, aggressive traders can widen the take profit and trailing stop percentages to allow trades to develop fully, maximizing potential gains in trending markets.
Estrategia Pine Script®
por LeafAlgo
3
RSI Trend Following StrategyOverview The RSI Trend Following Strategy utilizes Relative Strength Index (RSI) to enter the trade for the potential trend continuation. It uses Stochastic indicator to check is the price is not in overbought territory and the MACD to measure the current price momentum. Moreover, it uses the 200-period EMA to filter the counter trend trades with the higher probability. The strategy opens only long trades. Unique Features Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level. Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Two layers trade filtering system: Strategy utilizes MACD and Stochastic indicators measure the current momentum and overbought condition and use 200-period EMA to filter trades against major trend. Trailing take profit level: After reaching the trailing profit activation level script activates the trailing of long trade using EMA. More information in methodology. Wide opportunities for strategy optimization: Flexible strategy settings allows users to optimize the strategy entries and exits for chosen trading pair and time frame. Methodology The strategy opens long trade when the following price met the conditions: RSI is above 50 level. MACD line shall be above the signal line Both lines of Stochastic shall be not higher than 80 (overbought territory) Candle’s low shall be above the 200 period EMA When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility. At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with trailing EMA(by default = 20 period). If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.75) ATR Trailing Profit Activation Level (by default = 2.25) MACD Fast Length (by default = 12, period of averaging fast MACD line) MACD Fast Length (by default = 26, period of averaging slow MACD line) MACD Signal Smoothing (by default = 9, period of smoothing MACD signal line) Oscillator MA Type (by default = EMA, available options: SMA, EMA) Signal Line MA Type (by default = EMA, available options: SMA, EMA) RSI Length (by default = 14, period for RSI calculation) Trailing EMA Length (by default = 20, period for EMA, which shall be broken close the trade after trailing profit activation) Justification of Methodology This trading strategy is designed to leverage a combination of technical indicators—Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Stochastic Oscillator, and the 200-period Exponential Moving Average (EMA)—to determine optimal entry points for long trades. Additionally, the strategy uses the Average True Range (ATR) for dynamic risk management to adapt to varying market conditions. Let's look in details for which purpose each indicator is used for and why it is used in this combination. Relative Strength Index (RSI) is a momentum indicator used in technical analysis to measure the speed and change of price movements in a financial market. It helps traders identify whether an asset is potentially overbought (overvalued) or oversold (undervalued), which can indicate a potential reversal or continuation of the current trend. How RSI Works? RSI tracks the strength of recent price changes. It compares the average gains and losses over a specific period (usually 14 periods) to assess the momentum of an asset. Average gain is the average of all positive price changes over the chosen period. It reflects how much the price has typically increased during upward movements. Average loss is the average of all negative price changes over the same period. It reflects how much the price has typically decreased during downward movements. RSI calculates these average gains and losses and compares them to create a value between 0 and 100. If the RSI value is above 70, the asset is generally considered overbought, meaning it might be due for a price correction or reversal downward. Conversely, if the RSI value is below 30, the asset is considered oversold, suggesting it could be poised for an upward reversal or recovery. RSI is a useful tool for traders to determine market conditions and make informed decisions about entering or exiting trades based on the perceived strength or weakness of an asset's price movements. This strategy uses RSI as a short-term trend approximation. If RSI crosses over 50 it means that there is a high probability of short-term trend change from downtrend to uptrend. Therefore RSI above 50 is our first trend filter to look for a long position. The MACD (Moving Average Convergence Divergence) is a popular momentum and trend-following indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in an asset's price. The MACD consists of three components: MACD Line: This is the difference between a short-term Exponential Moving Average (EMA) and a long-term EMA, typically calculated as: MACD Line = 12 period EMA − 26 period EMA Signal Line: This is a 9-period EMA of the MACD Line, which helps to identify buy or sell signals. When the MACD Line crosses above the Signal Line, it can be a bullish signal (suggesting a buy); when it crosses below, it can be a bearish signal (suggesting a sell). Histogram: The histogram shows the difference between the MACD Line and the Signal Line, visually representing the momentum of the trend. Positive histogram values indicate increasing bullish momentum, while negative values indicate increasing bearish momentum. This strategy uses MACD as a second short-term trend filter. When MACD line crossed over the signal line there is a high probability that uptrend has been started. Therefore MACD line above signal line is our additional short-term trend filter. In conjunction with RSI it decreases probability of following false trend change signals. The Stochastic Indicator is a momentum oscillator that compares a security's closing price to its price range over a specific period. It's used to identify overbought and oversold conditions. The indicator ranges from 0 to 100, with readings above 80 indicating overbought conditions and readings below 20 indicating oversold conditions. It consists of two lines: %K: The main line, calculated using the formula (CurrentClose−LowestLow)/(HighestHigh−LowestLow)×100 . Highest and lowest price taken for 14 periods. %D: A smoothed moving average of %K, often used as a signal line. This strategy uses stochastic to define the overbought conditions. The logic here is the following: we want to avoid long trades in the overbought territory, because when indicator reaches it there is a high probability that the potential move is gonna be restricted. The 200-period EMA is a widely recognized indicator for identifying the long-term trend direction. The strategy only trades in the direction of this primary trend to increase the probability of successful trades. For instance, when the price is above the 200 EMA, only long trades are considered, aligning with the overarching trend direction. Therefore, strategy uses combination of RSI and MACD to increase the probability that price now is in short-term uptrend, Stochastic helps to avoid the trades in the overbought (>80) territory. To increase the probability of opening long trades in the direction of a main trend and avoid local bounces we use 200 period EMA. ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 30% Maximum Single Position Loss: -3.94% Maximum Single Profit: +15.78% Net Profit: +1359.21 USDT (+13.59%) Total Trades: 111 (36.04% win rate) Profit Factor: 1.413 Maximum Accumulated Loss: 625.02 USDT (-5.85%) Average Profit per Trade: 12.25 USDT (+0.40%) Average Trade Duration: 40 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Estrategia Pine Script®
por Skyrexio
Trend Signals with TP & SL [UAlgo] StrategyThe "Trend Signals with TP & SL Strategy" is a trading strategy designed to capture trend continuation signals while incorporating sophisticated risk management techniques. This strategy is tailored for traders who wish to capitalize on trending market conditions with precise entry and exit points, automatically calculating Take Profit (TP) and Stop Loss (SL) levels based on either Average True Range (ATR) or percentage values. The strategy aims to enhance trade management by preventing multiple simultaneous positions and dynamically adapting to changing market conditions. This strategy is highly configurable, allowing traders to adjust sensitivity, the ATR calculation method, and the cloud moving average length. Additionally, the strategy can display buy and sell signals directly on the chart, along with visual representation of entry points, stop losses, and take profits. It also features a cloud-based trend analysis using a MACD-driven color fill that indicates the strength and direction of the trend. 🔶 Key Features Configurable Trend Continuation Signals: Source Selection: The strategy uses the midpoint of the high-low range as the default source, but it is adjustable. Sensitivity: The sensitivity of the trend signals can be adjusted using a multiplier, ranging from 0.5 to 5. ATR Calculation: The strategy allows users to choose between two ATR calculation methods for better adaptability to different market conditions. Cloud Moving Average: Traders can adjust the cloud moving average length, which is used in conjunction with MACD to provide a visual trend indication. Take Profit & Stop Loss Management: ATR-Based or Percent-Based: The strategy offers flexibility in setting TP and SL levels, allowing traders to choose between ATR-based multipliers or fixed percentage values. Dynamic Adjustment: TP and SL levels are dynamically adjusted according to the selected method, ensuring trades are managed based on real-time market conditions. Prevention of Multiple Positions: Single Position Control: To reduce risk and enhance strategy reliability, the strategy includes an option to prevent multiple positions from being opened simultaneously. Visual Trade Indicators: Buy/Sell Signals: Clearly displays buy and sell signals on the chart for easy interpretation. Entry, SL, and TP Lines: Draws lines for entry price, stop loss, and take profit directly on the chart, helping traders to monitor trades visually. Trend Cloud: A color-filled cloud based on MACD and the cloud moving average provides a visual cue of the trend’s direction and strength. Performance Summary Table: In-Chart Statistics: A table in the top right of the chart displays key performance metrics, including total trades, wins, losses, and win rate percentage, offering a quick overview of the strategy’s effectiveness. 🔶 Interpreting the Indicator Trend Signals: The strategy identifies trend continuation signals based on price action relative to an ATR-based threshold. A buy signal is generated when the price crosses above a key level, indicating an uptrend. Conversely, a sell signal occurs when the price crosses below a level, signaling a downtrend. Cloud Visualization: The cloud, derived from MACD and moving averages, changes color to reflect the current trend. A positive cloud in aqua suggests an uptrend, while a red cloud indicates a downtrend. The transparency of the cloud offers further nuance, with more solid colors denoting stronger trends. Entry and Exit Management: Once a trend signal is generated, the strategy automatically sets TP and SL levels based on your chosen method (ATR or percentage). The stop loss and take profit lines will appear on the chart, showing where the strategy will exit the trade. If the price reaches either the SL or TP, the trade is closed, and the respective line is deleted from the chart. Performance Metrics: The strategy’s performance is tracked in real-time with an in-chart table. This table provides essential information about the number of trades executed, the win/loss ratio, and the overall win rate. This information helps traders assess the strategy's effectiveness and make necessary adjustments. This strategy is designed for those who seek to engage with trending markets, offering robust tools for entry, exit, and overall trade management. By understanding and leveraging these features, traders can potentially improve their trading outcomes and risk management. 🔷 Related Script 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Estrategia Pine Script®
por UAlgo
16
ChartArt-Bankniftybuying5minName: ChartArt-BankNifty Buying Strategy (5-Minute) Timeframe: 5-Minute Candles Asset: BankNifty (Indian Stock Market Index) Trading Hours: 9:30 AM - 2:45 PM IST (Indian Standard Time) This strategy is designed for BankNifty intraday traders who want to capitalize on short-term price movements within a defined trading window. It combines technical indicators like Simple Moving Averages (SMA), Relative Strength Index (RSI), and candlestick patterns to identify potential buy signals during intraday downtrends. The strategy employs specific entry, stop-loss, and target conditions to manage trades effectively and minimize risk. Technical Indicators Used Simple Moving Averages (SMA): EMA7: 7-period SMA on closing price. EMA5: 5-period SMA on closing price. Purpose: Used to identify the intraday trend by comparing short-term moving averages. The strategy focuses on situations where the market is in a minor downtrend, indicated by EMA5 being below EMA7. Relative Strength Index (RSI): RSI14: 14-period RSI, a momentum oscillator that measures the speed and change of price movements. SMA14: 14-period SMA of the RSI. Purpose: RSI is used to identify potential reversal points. The strategy looks for situations where the RSI is below its own moving average, suggesting weakening momentum in the downtrend. Candlestick Patterns: Relaxed Hammer or Doji (2nd Candle): A pattern where the second candle in a 3-candle sequence shows a potential reversal signal (Hammer or Doji), indicating indecision or a potential turning point. Bearish 1st Candle: The first candle is bearish, setting up the context for a potential reversal. Bullish 3rd Candle: The third candle must be bullish with specific characteristics (closing near the high, surpassing the previous high), confirming the reversal. Strategy Conditions Time Condition: The strategy is only active during specific hours (9:30 AM to 2:45 PM IST). This ensures that trades are only taken during the most liquid hours of the trading day, avoiding potential volatility or lack of liquidity towards market close. Intraday Downtrend Condition: EMA5 < EMA7: Indicates that the market is in a minor downtrend. The strategy looks for reversal opportunities within this trend. RSI Condition: RSI14 <= SMA14: Indicates that the current RSI value is below its 14-period SMA, suggesting potential weakening momentum, which can precede a reversal. Candlestick Patterns: 1st Candle: Must be bearish, setting up the context for a potential reversal. 2nd Candle: Must either be a Hammer or Doji, indicating a potential reversal pattern. 3rd Candle: Must be bullish, with specific characteristics (closing near the high, breaking the previous high, etc.), confirming the reversal. RSI Crossover Condition: A crossover of the RSI over its SMA in the last 5 periods is also checked, adding further confirmation to the reversal signal. Entry and Exit Rules Entry Signal: A buy signal is generated when all the conditions (time, intraday downtrend, bearish 1st candle, hammer/doji 2nd candle, bullish 3rd candle, and RSI condition) are met. The trade is entered at the high of the bullish third candle. Stop Loss: The stop loss is calculated based on the difference between the entry price and the low of the second candle. If this difference is greater than 90 points, the stop loss is placed at the midpoint of the second candle's range (average of high and low). Otherwise, it is placed at the low of the second candle. Target 1: The first target is set at 1.8 times the difference between the entry price and the stop loss. When this target is hit, half of the position is exited to lock in partial profits. Target 2: The second target is set at 3 times the difference between the entry price and the stop loss. The remaining position is exited at this point, or if the price hits the stop loss. Originality and Usefulness This strategy is original in its combination of multiple technical indicators and candlestick patterns to identify potential reversals in a specific intraday timeframe. By focusing on minor downtrends and utilizing a 3-candle reversal pattern, the strategy seeks to capture quick price movements with a structured approach to risk management. Key Benefits: High Precision: The strategy’s multi-step filtering process (time condition, trend confirmation, candlestick pattern analysis, and momentum evaluation via RSI) increases the likelihood of accurate trade signals. Risk Management: The use of a dynamic stop-loss based on candle characteristics, combined with partial profit-taking, allows traders to lock in profits while still giving the trade room to develop further. Structured Approach: The strategy provides a clear, rule-based system for entering and exiting trades, which can help remove emotional decision-making from the trading process. Charts and Signals The strategy produces signals in the form of labels on the chart: Buy Signal: A green label is plotted below the candle that meets all entry conditions, indicating a potential buy opportunity. Stop Loss (SL): A red dashed line is drawn at the stop-loss level with a label indicating "SL". Target 1 (1st TG): A blue dashed line is drawn at the first target level with a label indicating "1st TG". Target 2 (2nd TG): Another blue dashed line is drawn at the second target level with a label indicating "2nd TG". These visual aids help traders quickly identify entry points, stop loss levels, and target levels on the chart, making the strategy easy to follow and implement. Backtesting and Optimization Backtesting: The strategy can be backtested on TradingView using historical data to evaluate its performance. Traders should consider testing across different market conditions to ensure the strategy's robustness. Optimization: Parameters such as the RSI period, moving averages, and target multipliers can be optimized based on backtesting results to refine the strategy further. Conclusion The ChartArt-BankNifty Buying Strategy offers a well-rounded approach to intraday trading, focusing on capturing reversals in minor downtrends. With a strong emphasis on technical analysis, precise entry and exit rules, and robust risk management, this strategy provides a solid framework for traders looking to engage in intraday trading on BankNifty.
Indicador Pine Script®
por CA-ChartArt