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Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat or crypto/crypto - Good for "BTC/USD", "ETH/USD", "ETH/BTC" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto") In the new version 1.8 - The second PriceChannel is added - Profit became more - Losses became less - The unnecessary types of MA are removed
Estrategia Pine Script®
por ROBO_Trading
Bitcoin momentum correlation This is a pretty simple indicator, it measures the momentum of bitcoin as compared to usd,eur,eth,dash, and ltc, which you can see in all of the blue lines. If the red line is above zero then it means the overall value of btc is going up, opposite for down. The Ema_window controls how smooth the signal is. If you shorten the Ema_window parameter and open this on higher timeframe btc charts then the zero crossing gives pretty solid signals, despite being pretty choppy. A good way to interpret this is that if all the blue lines are moving in the same direction at once without disagreement, then the value of bitcoin has good momentum. Mildly more technically: Momentum is measured in the first derivative of an EMA for each ticker. To normalize the different values against each other they are all divided by their local maximums, which can be chosen in the parameter window, but shouldn't make a huge difference. All the checked values are then summed, as shown in the red line. To include a value into the red line simply keep it checked. Take a look at the script, it's kind of easy on the eyes. It's pretty handy to look at, but doesn't seem too worthwhile to pursue much further. If someone wants much more out of the script then feel free to message me. Remember rules #1 & #2 Don't lose money. Happy trading
Indicador Pine Script®
por mcbw_
3
Volume Conversion IndicatorVolume Conversion Indicator The volume conversion indicator is much like the in-built volume indicator. This particular volume indicator allows you to find out how much of something has been traded in a given timeframe. This is done by multiplying volume by the average price at that point. What does this mean? Well, say, for example, you were watching DGB/BTC (DigiByte/Bitcoin). Instead of the volume being displayed in the amount of DGB traded, the amount of BTC traded is displayed instead. Feel free to comment... Hope this helps :D
Indicador Pine Script®
por SquishyPea
Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :) STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD. More info: www.investopedia.com Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC). For people trading BTC: ------------------------------- Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)
Indicador Pine Script®
por LazyBear
33
⚡ QUANTUM MOMENTUM ⚡Overview Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management. Key Features 📊 Multi-Asset Momentum Comparison Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset Real-Time Tracking: Monitor relative momentum strength as market conditions evolve Difference Visualization: Clear histogram display showing which asset has stronger momentum 🎯 Multiple Momentum Calculation Methods Choose from four different momentum calculation types: ROC (Rate of Change): Traditional percentage-based momentum measurement RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range Percent Change: Simple percentage change over the lookback period Raw Change: Absolute price change in native currency units 📈 Advanced Trend Filtering System Enable optional trend filters to align momentum signals with prevailing market direction: SMA (Simple Moving Average): Classic trend identification EMA (Exponential Moving Average): Responsive trend detection Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns ADX (Average Directional Index): Measures trend strength with customizable threshold 🎨 Futuristic Cyberpunk Design Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette Glowing Visual Effects: Enhanced visibility with luminescent plot lines Dynamic Background Shading: Subtle trend state visualization Real-Time Data Table: Sleek information panel displaying current momentum values and trend status How It Works The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time. Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise. Settings Guide Symbol Settings Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs) Momentum Settings Momentum Length: Lookback period for momentum calculations (default: 14 bars) Momentum Type: Select your preferred momentum calculation method Display Options Toggle visibility of current symbol momentum line Toggle visibility of comparison symbol momentum line Toggle visibility of momentum difference histogram Optional zero line reference Trend Filter Settings Use Trend Filter: Enable/disable trend-based signal filtering Trend Method: Choose from SMA, EMA, Price Action, or ADX Trend Length: Period for trend calculations (default: 50) ADX Threshold: Minimum ADX value to confirm trend strength (default: 25) Best Use Cases ✅ Pairs Trading: Identify divergences in momentum between correlated assets ✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum ✅ Stock Market Rotation: Track sector or index relative strength ✅ Forex Strength Analysis: Monitor currency pair momentum relationships ✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence ✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals Visual Indicators ⚡ Cyan Line: Your chart symbol's momentum ⚡ Magenta Line: Comparison symbol's momentum 📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink) ▲ Green Triangle: Bullish trend detected (when filter enabled) ▼ Red Triangle: Bearish trend detected (when filter enabled) ◈ Yellow Diamond: Neutral/sideways trend (when filter enabled) Pro Tips 💡 Look for crossovers between the momentum lines as potential trade signals 💡 Combine with volume analysis for stronger confirmation 💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals 💡 Enable trend filter during ranging markets to reduce false signals 💡 Experiment with different momentum types to find what works best for your trading style Technical Requirements TradingView Pine Script Version: v6 Chart Type: Works on all chart types Indicator Placement: Separate pane (overlay=false) Data Requirements: Needs access to comparison symbol data
Indicador Pine Script®
por AlgoCollective
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial Table of Contents Installation Understanding the Indicator Signal Interpretation Settings Configuration Trading Strategies Best Practices Common Mistakes to Avoid 1. Installation {#installation} Step-by-Step Setup: Step 1: Access TradingView Go to TradingView.com Log in to your account (free account works fine) Step 2: Open Pine Editor Click on "Pine Editor" at the bottom of the chart If you don't see it, go to the top menu and select "Pine Editor" Step 3: Add the Script Click "New" to create a new indicator Delete any default code Copy the entire Institutional Activity Detector code Paste it into the editor Step 4: Save and Apply Click "Save" (give it a name like "Inst Detector") Click "Add to Chart" The indicator will now appear on your chart 2. Understanding the Indicator {#understanding} What It Detects: This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing: Volume Analysis Detects unusual volume spikes that indicate large players entering Compares current volume to 20-period average Institutional trades create volume 2-5x normal levels Order Flow Delta: Difference between buying and selling volume Positive delta = More buying pressure Negative delta = More selling pressure Institutions leave "footprints" in order flow Price Action Patterns Bullish Rejection Wicks: | <- Small upper wick | ███ <- Small body ███ | | | <- Large lower wick (rejection) Indicates institutions bought aggressively at lower prices Bearish Rejection Wicks: | | | <- Large upper wick (rejection) | ███ <- Small body ███ | <- Small lower wick Indicates institutions sold aggressively at higher prices Liquidity Grabs Institutions often: Push price above resistance or below support Trigger stop losses (grab liquidity) Reverse direction and trade the other way Dark Pool Activity Large block trades executed off-exchange: High volume with minimal price movement Indicates institutional accumulation/distribution without moving price 3. Signal Interpretation {#signals} Signal Types: 🟢 INSTITUTIONAL BUY Signal Appears as green triangle below candle with strength number (2-5) What it means: Institutions are actively accumulating (buying) Higher strength = More confirmation factors Strength Levels: 2-3: Moderate confidence - Wait for confirmation 4: High confidence - Strong institutional interest 5: Maximum confidence - Multiple factors aligned 🔴 INSTITUTIONAL SELL Signal Appears as red triangle above candle with strength number (2-5) What it means: Institutions are actively distributing (selling) Higher strength = More confirmation factors 🟠 Dark Pool (DP) Marker Small orange diamond What it means: Large block trade executed Accumulation/distribution happening quietly Often precedes significant moves Liquidity Zones Red boxes above price = Resistance/sell liquidity Green boxes below price = Support/buy liquidity Institutions target these zones to trigger stops 4. Settings Configuration {#settings} Recommended Settings by Asset Type: For Stocks (SPY, AAPL, TSLA): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 1H For Forex (EUR/USD, GBP/USD): Volume Spike Multiplier: 1.5 Volume Average Period: 30 Delta Threshold: 65% Minimum Signal Strength: 3 Timeframe: 15m, 1H, 4H For Crypto (BTC, ETH): Volume Spike Multiplier: 2.5 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 4 Timeframe: 15m, 1H, 4H For Futures (ES, NQ): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 75% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 30m Parameter Explanations: Volume Spike Multiplier (1.0 - 10.0) Lower = More sensitive (more signals, some false) Higher = Less sensitive (fewer signals, more reliable) Start with 2.0 and adjust based on your asset's volatility Delta Threshold % (50 - 100) Measures buying vs selling pressure 70% = Strong institutional bias required Lower for ranging markets, higher for trending Minimum Signal Strength (2 - 5) Number of factors that must align for a signal 2 = Very sensitive (many signals) 5 = Very conservative (rare signals) Recommended: 3-4 for balance 5. Trading Strategies {#strategies} Strategy 1: Liquidity Grab Reversal Setup: Price approaches a liquidity zone (green/red box) Price penetrates the zone briefly Institutional BUY/SELL signal appears Price reverses away from the zone Entry: Enter on the signal candle close Or wait for next candle confirmation Stop Loss: Below the liquidity grab low (for buys) Above the liquidity grab high (for sells) Take Profit: 2:1 or 3:1 risk/reward ratio Or next opposing liquidity zone Example: Price drops below support → Triggers stops → Institutional BUY signal (4-5 strength) → Enter LONG → Price rallies Strategy 2: Trend Continuation Setup: Identify the trend (higher highs/higher lows for uptrend) Wait for pullback to support in uptrend Institutional BUY signal appears during pullback Confirms institutions are adding to positions Entry: Enter on signal with strength ≥ 4 Or next candle after signal Stop Loss: Below the pullback low + small buffer Take Profit: Previous swing high Or trailing stop using ATR Strategy 3: Dark Pool Accumulation Setup: Dark Pool (DP) markers appear multiple times Price consolidates in tight range Institutional BUY signal with high strength appears Breakout occurs Entry: Enter on breakout candle after signal Or on retest of breakout level Stop Loss: Below consolidation range Take Profit: Measured move (height of consolidation projected) Strategy 4: Divergence Play Setup: Price makes lower low MFI/RSI makes higher low (bullish divergence) Institutional BUY signal appears Volume confirms with spike Entry: Enter on signal candle or next Stop Loss: Below the divergence low Take Profit: Previous swing high or resistance 6. Best Practices {#best-practices} ✅ DO's: 1. Use Multiple Timeframes Check higher timeframe for trend direction Trade signals that align with higher timeframe Example: 15m signals in direction of 1H trend 2. Combine with Key Levels Support/resistance Supply/demand zones Previous day high/low Round numbers (psychological levels) 3. Wait for Confirmation Don't rush into trades Let the signal candle close Watch next candle for follow-through 4. Check the Metrics Table Look at Relative Volume (should be >2.0) Check Delta % (should be strong positive/negative) Verify Order Flow aligns with signal 5. Consider Market Context News events can override signals Low liquidity times (lunch, overnight) less reliable Major economic releases need caution 6. Paper Trade First Test the indicator for 2-4 weeks Learn how it behaves on your chosen assets Develop confidence before using real money Best Times to Trade: Stock Market Hours: 9:30-11:30 AM EST (high volume, strong moves) 2:00-4:00 PM EST (institutional positioning) Avoid: 11:30 AM-2:00 PM (lunch, low volume) Forex: London Open: 3:00-6:00 AM EST New York Open: 8:00-11:00 AM EST London/NY Overlap: 8:00 AM-12:00 PM EST Crypto: 24/7 market, but highest volume during US/European hours Watch for weekend low liquidity 7. Common Mistakes to Avoid {#mistakes} ❌ DON'T: 1. Trade Every Signal Not all signals are equal Focus on strength 4-5 signals Wait for optimal setups 2. Ignore Market Structure Don't buy into strong downtrends (catch falling knife) Don't sell into strong uptrends (fight the tape) Respect major support/resistance 3. Use Too Small Timeframes 1m and 2m charts are too noisy Minimum recommended: 5m for scalping Better: 15m, 30m, 1H for reliability 4. Overtrade Quality over quantity 2-5 good trades per day is excellent Forcing trades leads to losses 5. Ignore Risk Management Always use stop losses Risk only 1-2% per trade Don't revenge trade after losses 6. Trade During Low Volume Signals less reliable with low volume Check Relative Volume metric (should be >1.5) Avoid pre-market/after-hours for stocks 7. Misread Liquidity Grabs Not every wick is a liquidity grab Need volume confirmation Must have institutional signal Advanced Tips: Filtering False Signals: Use Signal Strength Filter: Minimum strength 3 = Balanced Minimum strength 4 = Conservative (recommended) Minimum strength 5 = Ultra conservative Confluence Checklist: Signal strength ≥ 4 Relative volume > 2.0 At key support/resistance Aligns with higher timeframe trend Delta % strongly positive/negative Clean price action setup If 4+ boxes checked = High probability trade Setting Up Alerts: Click the three dots on the indicator Select "Create Alert" Choose condition: "Institutional Buy Signal" "Institutional Sell Signal" "Dark Pool Activity" Set up notification (email, SMS, app) Save alert Alert Strategy: Set minimum strength to 4 for fewer, better alerts Use for assets you can't watch constantly Don't rely solely on alerts - check chart context Practice Exercise: Week 1-2: Observation Add indicator to your favorite assets Watch how signals develop Note which ones lead to profitable moves Don't trade yet - just observe Week 3-4: Paper Trading Use TradingView's paper trading Trade only strength 4-5 signals Record results in a journal Note: entry, exit, profit/loss, what worked/didn't Week 5+: Small Live Positions Start with smallest position size Trade only your best setups Gradually increase size as you gain confidence Keep detailed journal Quick Reference Card: Signal Quality Ranking: 🔥 Best Setups (Take These): Strength 5 + Liquidity grab + Key level Strength 4-5 + Volume >3.0 + Trend alignment Dark Pool markers + Strength 4+ signal ✅ Good Setups: Strength 4 at support/resistance Strength 3-4 with strong delta Liquidity grab + Strength 3+ ⚠️ Caution (Wait for More): Strength 2-3 in middle of nowhere Against higher timeframe trend Low volume (Rel Vol <1.5) ❌ Avoid: Strength 2 only During major news Low liquidity hours Against strong trend Troubleshooting: "Too many signals" → Increase Minimum Signal Strength to 4 → Increase Volume Spike Multiplier to 2.5-3.0 "Too few signals" → Decrease Minimum Signal Strength to 2-3 → Decrease Volume Spike Multiplier to 1.5 "Signals not working" → Check if you're trading during low volume hours → Verify you're using recommended timeframes → Make sure signals align with market structure "Can't see liquidity zones" → Enable "Show Liquidity Zones" in settings → Adjust Swing Detection Length (try 7-15) Resources for Further Learning: Concepts to Study: Order Flow Trading Market Profile / Volume Profile Smart Money Concepts (SMC) Liquidity Sweeps and Stop Hunts Institutional Order Flow Wyckoff Method Volume Spread Analysis (VSA) Recommended Practice: Study past signals on chart Replay market using TradingView's bar replay feature Join trading communities to share setups Keep a detailed trading journal Final Thoughts: This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires: Proper risk management Market context understanding Patience and discipline Continuous learning Success Formula: Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits Start slow, master the basics, and gradually increase complexity as you gain experience. Good luck and trade smart! 📊📈
Indicador Pine Script®
por lohanineeraj
Supply In Profit Z-Score | Wave BackgroundSupply in Profit Z-Score Modified by Quant_Hustler | Original by QuantChook What it does The Supply in Profit Z-Score measures how extreme the balance is between BTC addresses in profit versus those in loss compared to historical norms. It highlights periods of excessive optimism or pessimism, helping traders identify market sentiment extremes that can signal potential turning points or confirm ongoing trends. This version is designed for longer-term strategies, using smoothing and statistical normalization to focus on broader market sentiment cycles rather than short-term noise. How it works --Data Retrieval: Pulls on-chain data showing the percentage of Bitcoin addresses currently in profit and in loss. --Spread Calculation: Finds the difference between the two to gauge overall sentiment balance. --Alpha Decay Adjustment (optional): Normalizes extreme values to stabilize the signal over time. --Smoothing: Applies a moving average to filter daily volatility and improve long-term clarity. --Z-Score Conversion: Standardizes the data to show how far current sentiment deviates from historical averages. --Visualization: Plots the result around a neutral midpoint (zero line) — positive values indicate profit dominance, negative values indicate loss dominance. How to use it --Above Zero: More addresses in profit → bullish sentiment and strong trend conditions. --Below Zero: More addresses in loss → bearish sentiment or potential accumulation zones. --Extreme Values: Mark overly optimistic or capitulated sentiment, often preceding major reversals. Why use it in trend following --This indicator serves as an on-chain sentiment confirmation layer for trend-following systems, especially on higher timeframes (daily or weekly). --In uptrends, sustained positive readings confirm market strength and investor confidence. --In downtrends, persistent negative readings confirm weakness and help avoid false reversal signals. --Divergences between price and sentiment (e.g., rising price but weakening sentiment) often signal momentum loss or potential trend transitions. Modifications from the original by QuantChook Added EMA, adaptive Z-score smoothing and capping to reduce volatility and noise. Introduced a wave-style visualization for intuitive sentiment shifts. Improved calculation structure and upgraded for Pine Script v6 efficiency. Tuned signal responsiveness and smoothing parameters for long-term trend accuracy. Simplified user inputs and grouping for easier customization and integration. In summary: A refined, statistically grounded on-chain sentiment oscillator — originally developed by QuantChook and enhanced by Quant_Hustler — built to support long-term trend-following strategies by quantifying Bitcoin market sentiment through real-time profit and loss dynamics.
Indicador Pine Script®
por Quant_Hustler
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance. ----------------------------------------------------------------- CALCULATION METHODOLOGY Why Bottom-to-Bottom Cycle Measurement? This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis: - Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving) - Bottoms may offer good reference points for some analytical purposes - Tops tend to be extended periods that are harder to define precisely - Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category - Halving events are shown separately (yellow backgrounds) for reference - Neither halving-based nor bottom-based measurement is inherently superior Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points. Cycle Date Definitions - Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022) - Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom - Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom - Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom - Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom - Future cycles will be added as new top/bottom dates become firm Duration Calculations - Days = timestamp difference converted to days (milliseconds ÷ 86,400,000) - Bottom → Top: days from cycle bottom to peak - Top → Bottom: days from peak to next cycle bottom - Bottom → Bottom: full cycle duration (sum of above) Price Change Calculations - % Change = ((New Price - Old Price) / Old Price) × 100 - Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain - Approximate historical prices used (rounded to significant figures) Weighted Average Formula Recent cycles weighted more heavily to reflect the evolved market structure: - Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap) - Cycle 2 (2011-2015): Weight = 1x - Cycle 3 (2015-2018): Weight = 3x - Cycle 4 (2018-2022): Weight = 5x Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5) Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days Projection Method - Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days - Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days - Current days elapsed compared to weighted averages - Warning symbol (⚠) shown when the current cycle exceeds the historical average Technical Implementation - Historical cycle dates are hardcoded (not algorithmically detected) - Dates represent approximate monthly ranges for each event - The indicator will be updated as the Cycle 5 top and bottom dates become confirmed - Updates require manual code maintenance - not automatic - Users should verify they're using the latest version for current cycle data ----------------------------------------------------------------- FEATURES - Background highlights for historical tops (red), bottoms (green), and halving events (yellow) - Data table showing cycle durations and price changes - Visual cycle boundary boxes with subtle coloring - Projected timeframes displayed as dashed vertical lines - Toggle on/off for each visual element - Customizable background colors ----------------------------------------------------------------- DISPLAY SETTINGS - Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes - Customizable background colors for each event type - Clean, institutional-grade visual design suitable for analysis UPDATES & MAINTENANCE This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically. OPEN SOURCE Code available for review, modification, and improvement. Educational transparency is prioritized. ----------------------------------------------------------------- IMPORTANT LIMITATIONS ⚠ EXTREMELY SMALL SAMPLE SIZE Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions. ⚠ CHANGED MARKET STRUCTURE Bitcoin's market has fundamentally evolved since early cycles: - 2010-2015: Tiny market cap, retail-only, unregulated - 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation The environment that created past patterns no longer exists in the same form. ⚠ NO PREDICTIVE GUARANTEE Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages. ⚠ LENGTHENING CYCLE THEORY Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths. ⚠ SELF-FULFILLING PROPHECY RISK The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern. ⚠ APPROXIMATE DATA Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity. EDUCATIONAL USE ONLY This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT: - Trading advice or financial recommendations - A guarantee or prediction of future price movements - Suitable as a sole basis for investment decisions - A replacement for fundamental or technical analysis The projections show "what if the pattern continues exactly" - not "what will happen." Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
Indicador Pine Script®
por SwissAlgo
Nifty Options 3Point SL !!Results will Shock u!!OMG!!Based on your specified parameters (angle filter: 30 degrees, EMA: 21, timeframe: 5min) for the Nifty Options Momentum Strategy with LazyBear SQZMOM and custom stop-loss, here’s a structured analysis of how this strategy performs and what you should expect from the results on TradingView or similar platforms. Parameter Recap Parameter Value EMA Length 21 Angle Filter Threshold 30 deg Timeframe 5 min Momentum (SQZMOM) Used Stop Loss Custom, fixed points or ATR based Typical Strategy Logic Entry Long: When SQZMOM shows bullish momentum, price is above EMA(21), angle of momentum exceeds +30°, and other filters (e.g., volume) confirm strength. Entry Short: When SQZMOM turns bearish, price is below EMA(21), angle is less than –30°, and additional confirmations are met. Stop Loss: Set by custom points or dynamic ATR. Strategy runs and alerts on all valid entries/exits. Typical Performance Findings (Backtest Example) 1. Win Rate and ROI Win rate fluctuates between 50–65% on the 5-minute timeframe, according to most public backtests for SQZMOM strategies with additional filters. ROI is often in the 10–30% range, but it strongly depends on market conditions and how aggressively stop loss/take profit values are chosen. 2. Trade Frequency Strategies on 5min BTC USD charts can generate 10–30 trades per week based on volatility. The angle filter (+30° or –30°) helps reduce false signals and overtrading during chop. 3. Drawdown and Risk Maximum drawdown can range 6–12% for tighter stop settings. Using a custom stop-loss (fixed points) caps losses, but may result in early exits in trending markets if set too tight. 4. Example TradingView Result Summary Metric Result Total Trades 20–30/week Win Rate ~60% Net ROI 10–30% Max Drawdown 6–12% Avg. Win/Loss Ratio 1.1–1.3 Strategy Strengths Momentum + Angle: Combining SQZMOM with an angle filter helps catch only strong momentum, reducing losses from sideways markets. Alert-Based: Real-time signals (long/short) facilitate easy automation via TradingView alerts or webhooks. Customizable SL/TP: Adapts to fast or slow markets. Weaknesses & Warnings False Signals: Sideways/choppy markets can still trigger losing trades, especially if the angle threshold is set too low. Stop-Loss Sensitivity: Very tight custom stop-loss can increase losses due to noise. Adaptive ATR-based stop-loss is sometimes preferable. Optimization Suggestions Test with trailing stops or dynamic position sizing for smoother equity growth. Overlay RSI or another momentum filter for additional confirmation. Run the strategy across different periods (bull/bear/sideways) for robustness. Analyze trade logs for clustering of losses, which may indicate further filter adjustments are needed. Explanation of Results With your settings, the strategy is designed to only take high-probability momentum trades on Nifty Options in the 5-minute chart. The EMA(21) ensures trend alignment; the SQZMOM histogram and angle threshold confirm genuine momentum bursts. Backtest logs typically report moderate trade counts and can provide a solid edge in trending markets, but rapid market reversals can still cause clusters of small stops. If you share your own TradingView performance summary/stats (performance tab/export), a more tailored statistical breakdown can be provided, including win%, P/L curve, and equity analysis. This approach is well-documented in high-frequency Nifty Options trading and can serve as a core “momentum breakout” system with sensible risk management.. ⦁ Disclaimer: The content in this Article is for educational purposes only and should not be considered financial advice. We are not SEBI-registered advisors. Options trading is highly volatile and carries significant risk. Consult a qualified financial advisor before making any investment decisions.. About Us: We provide educational content on trading strategies and market analysis. Connect With Us: For business inquiries, email us at: customercare@eamzn.in For our trading course, contact us on WhatsApp: Backtesting Services: We offer strategy backtesting on TradingView. Contact us for details.
Estrategia Pine Script®
por ashok137a
1
my_strategy_2.0Overview: This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP. Key Signals: Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%). Short: Similar but downward. Exits and Risks: TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable). SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional). Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests. Recommendations: Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading. Disclaimer: Past results do not guarantee future performance. Trade at your own risk. (Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Estrategia Pine Script®
por gopog777
1
Trend Candle CounterComplete Tutorial: Trend Candle Counter Pine ScriptTable of Contents Installation Guide Understanding the Indicator How It Works Customization Options Trading Strategies Setting Up Alerts Troubleshooting 1. Installation Guide {#installation}Step-by-Step Installation:Step 1: Open TradingView Go to www.tradingview.com Log in to your account Step 2: Access Pine Editor Click on "Pine Editor" tab at the bottom of the chart Or press Alt + E (Windows) or Option + E (Mac) Step 3: Create New Indicator Click "Open" → "New blank indicator" Delete any default code Step 4: Paste the Script Copy the entire Trend Candle Counter script Paste it into the editor Step 5: Save and Apply Click "Save" (or Ctrl + S) Give it a name: "Trend Candle Counter" Click "Add to Chart" ✅ Done! The indicator should now appear on your chart.2. Understanding the Indicator {#understanding}What Does It Do?This indicator numbers each candle based on the current trend: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Trend TypeNumberingVisualUptrend+1, +2, +3, +4...🟢 Green labelsDowntrend-1, -2, -3, -4...🔴 Red labelsTrend ChangeResets to ±1Label color switchesVisual Components: Candle Labels - Numbers above each candle Trend Line (EMA) - Green (up) / Red (down) Background Shading - Light green/red tint Info Table - Top-right corner showing: Current trend direction Current candle number Current price 3. How It Works {#how-it-works}Trend Detection Logic:IF Close > EMA → UPTREND (positive counting) IF Close < EMA → DOWNTREND (negative counting) Counting Mechanism:Example Uptrend:Candle 1: Close > EMA → Label: +1 Candle 2: Close > EMA → Label: +2 Candle 3: Close > EMA → Label: +3 Candle 4: Close < EMA → Label: -1 (trend changed!) Example Downtrend:Candle 1: Close < EMA → Label: -1 Candle 2: Close < EMA → Label: -2 Candle 3: Close < EMA → Label: -3 Candle 4: Close > EMA → Label: +1 (trend changed!) Key Insight:The higher the absolute number, the longer the trend has been running!4. Customization Options {#customization}Accessing Settings: Click the gear icon ⚙️ next to the indicator name Go to "Inputs" tab Available Parameters: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}ParameterDefaultDescriptionRecommendationTrend Detection Length14EMA period for trend5-10: Scalping14-20: Day trading50-200: Swing tradingShow Candle Numbers✅ YesDisplay labelsDisable for cleaner chartLabel SizeSmallSize of numbersTiny: Multi-timeframeLarge: Focus on one chartUptrend ColorGreenPositive number colorCustomize to preferenceDowntrend ColorRedNegative number colorCustomize to preferenceOptimization by Trading Style:For Scalpers (1m - 5m charts):Trend Detection Length: 5-10 Label Size: Tiny Show Labels: Optional (can be cluttered) For Day Traders (15m - 1h charts):Trend Detection Length: 14-20 Label Size: Small Show Labels: Yes For Swing Traders (4h - Daily charts):Trend Detection Length: 50-100 Label Size: Normal Show Labels: Yes 5. Trading Strategies {#strategies}Strategy 1: Trend Reversal TradingEntry Signals: Buy: When counter changes from negative to +1 Sell: When counter changes from positive to -1 Confirmation: Wait for +2 or -2 to confirm trend strength Use additional indicators (RSI, MACD) for validation Example:Candle: -5, -6, -7, -8, +1, +2 ← BUY HERE Stop Loss: Below the -8 candle low Target: When counter reaches +8 to +10 Strategy 2: Trend Continuation TradingEntry Signals: Buy: Enter on pullbacks during uptrend (e.g., at +3, +5, +7) Sell: Enter on bounces during downtrend (e.g., at -3, -5, -7) Risk Management: Avoid entering at high numbers (+15, -15) - trend may be exhausted Example:Candle: +1, +2, +3 ← Small pullback, BUY Continue: +4, +5, +6, +7 Exit: When counter resets to -1 Strategy 3: Trend Exhaustion DetectionWarning Signs: Counter reaches +10 or higher → Uptrend may be overextended Counter reaches -10 or lower → Downtrend may be overextended Action: Tighten stop losses Take partial profits Watch for reversal patterns (doji, engulfing) Strategy 4: Multi-Timeframe AnalysisSetup: Add indicator to 3 timeframes (e.g., 15m, 1h, 4h) Look for alignment Best Trades:15m: +1 (new uptrend) 1h: +5 (established uptrend) 4h: +3 (strong uptrend) → HIGH PROBABILITY BUY 6. Setting Up Alerts {#alerts}Built-in Alert Conditions:The script includes 2 automatic alerts: "Uptrend Started" - Triggers when counter = +1 "Downtrend Started" - Triggers when counter = -1 How to Set Up Alerts:Step 1: Right-click on chart Select "Add Alert" Step 2: Configure Alert Condition: Select "Trend Candle Counter" Choose: "Uptrend Started" or "Downtrend Started" Options: Once per bar close (recommended) Webhook URL (for automation) Step 3: Notification Settings ✅ Popup ✅ Send email ✅ Push notification (mobile app) ✅ Play sound Step 4: Create Alert Click "Create" Custom Alert Ideas:Alert for Specific Candle Numbers: Notify when counter reaches +5 or -5 Notify when counter exceeds +10 or -10 (exhaustion) 7. Troubleshooting {#troubleshooting}Common Issues & Solutions:Issue 1: Labels are too cluttered Solution: Disable "Show Candle Numbers" in settings Use larger timeframe Reduce label size to "tiny" Issue 2: Too many false signals Solution: Increase "Trend Detection Length" (e.g., 20, 50) Wait for +2 or -2 confirmation Combine with other indicators Issue 3: Trend line doesn't match price action Solution: Adjust EMA length to match your trading style Consider using different trend detection (SMA, HMA) Issue 4: Indicator not showing on chart Solution: Check if it's in a separate pane - move to main chart Refresh the page Re-add the indicator Issue 5: Counter seems delayed Solution: This is normal - indicator confirms on candle close For faster signals, use lower timeframe Reduce EMA length (but expect more noise) 8. Advanced Tips 💡Combining with Other Indicators:Best Combinations: RSI + Trend Candle Counter Buy at +1 when RSI > 50 Sell at -1 when RSI < 50 MACD + Trend Candle Counter Confirm +1 with MACD bullish crossover Confirm -1 with MACD bearish crossover Volume + Trend Candle Counter Strong trends (+1) should have increasing volume Low volume at high numbers (+10) = exhaustion Reading Market Psychology: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Counter ValueMarket Psychology+1 to +3Early adopters entering+4 to +7Momentum building+8 to +12FOMO phase+13+Extreme greed - caution!-1 to -3Early sellers-4 to -7Panic building-8 to -12Capitulation-13+Extreme fear - reversal likely9. Real Trading Example 📊Scenario: BTC/USD 1H ChartTime | Counter | Action --------|---------|---------------------------------- 10:00 | -8 | Downtrend established 11:00 | -9 | Still falling 12:00 | -10 | Exhaustion zone - watch closely 13:00 | +1 | ✅ BUY SIGNAL - Trend reversal! 14:00 | +2 | Confirmation - trend valid 15:00 | +3 | Hold position 16:00 | +4 | Add to position (optional) 17:00 | +5 | Move stop loss to breakeven ... 22:00 | +11 | Take partial profits 23:00 | +12 | Tighten stop loss 00:00 | -1 | ❌ EXIT - Trend reversed
Indicador Pine Script®
por lohanineeraj
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ) The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations. What it is? EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles. Purpose and originality (not a mashup) Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols. Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators. Why a trader might use EPZ EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to: Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening. Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds. Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ. Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction. Components and how they're combined Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume). Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score. Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles. Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes. Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts Context-aware weighting: Higher volatility → more PRV weight Trendiness up (RSI of ATR > 25) → more MCD weight Relative volume > 1.2x → more PDI weight SMF holds a stable weight The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline. What makes EPZ stand out Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds. Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too. Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion. Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead. Recommended markets and timeframes Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH). Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes). Use caution on illiquid or very low TFs where wick/volume geometry is erratic. Logic and thresholds MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish. Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35). Adaptive thresholds (optional): thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity) thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity) Extreme detection High: MPO ≥ thrHigh with peak/slope or crossover filter. Low: MPO ≤ thrLow with trough/slope or crossover filter. Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone. Confirmation "Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting). Divergences Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot). MTF HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected. Inputs and defaults (key ones) Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF. Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny. Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON. Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart. Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60. Dashboard: what each element means Header: EPZ ANALYSIS. Large readout: Current MPO; color reflects state (extreme, approaching, or neutral). Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish". HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close. Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only. Thresholds: Current thrHigh/thrLow (static or adaptive). Components: ASCII bars + values for PRV, MCD, PDI, SMF. Market metrics: Volume Ratio (x) and ATR% of price. Strength: Bar indicator of |MPO − 50| × 2. Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability. How to read the oscillator MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure". Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup. Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart. Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting. Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes. Zones: Warning bands near extremes; Extreme zones beyond thresholds. Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure. Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown. Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON. Histogram: Distance from neutral (50); highlights strengthening or weakening pressure. Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low. Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning. A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure. Alerts EPZ: Extreme Context — fires on confirmed extremes (respects cooldown). EPZ: Approaching Threshold — fires in warning zones if no extreme. EPZ: Divergence — fires on confirmed pivot divergences. Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint. Practical usage ideas Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes. Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits. Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels. MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise. Examples Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims. Example 1 — BTCUSDT, 1h — E Low MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only. Example 2 — ETHUSD, 30m — E High A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only. Known limitations and caveats The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON. HTF values settle at the close of the HTF bar. Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing. Prediction line (when enabled) is a visual extrapolation only. For coders Pine v6. MTF via request.security with lookahead_off. Extremes include crossover triggers so static thresholds also yield E High/E Low. Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON. Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs. 3D layering uses negative offsets purely for drawing depth (no lookahead). Screenshot methodology: To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim. Disclaimer This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
Indicador Pine Script®
por BullByte
11
Synthetic Implied APROverview The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate. The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized. What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity. How it calculates The synthetic implied APR is calculated with these steps: Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator) Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits) Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365) Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding) premium_component = (prem_avg / 50 ) * 365 weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3) impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength)) How to use it: Generally Preface: Funding rates are an indication of market sentiment If funding is positive, generally the market is bullish as longs are willing to pay shorts funding If funding is negative, generally the market is bearish as shorts are willing to pay longs funding So, this script can be used like a typical oscillator: Bullish: If implied APR > MA OR if implied APR MA is green Bearish: If implied APR < MA OR if implied APR MA is red The components: Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA) How to use it: Trading Funding When trading funding there're multiple ways to use it with different settings Trade funding rates with trend changes Settings: Weight = 1 Method 1: When the implied APR MA turns green, long funding rates (or short if red) Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below) Trade funding rates with MA pullbacks Settings: Weight = 0.7, timeframe 15m In an uptrend: When implied APR crosses below then above the script, long funding opportunity In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity You can determine the trend with the method before, using a weight of 1 To trade funding rates, it's best to have these 3 scripts at these settings: Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures) Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change) Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility How to use it: Trading Futures When trading futures: You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods To prevent whipsaws, weight should remain high Long trend: When the implied APR MA turns green OR when it crosses above its MA Short trend: When the implied APR MA turns red OR when it below above its MA Why it's original This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense. Notes Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best Only works for coins that have a Binance premium index Inputs Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator Bullish Color - Sets the color for positive values in the table and rising MA line Bearish Color - Sets the color for negative values in the table and falling MA line Table Background - Customizes the background color and transparency of the information dashboard Table Text Color - Sets the color for label text in the left column of the information table Table Text Size - Controls the font size of table text with options from Tiny to Huge
Indicador Pine Script®
por stormeta
BBKC Combined Channels OverlayBBKC Combined Channels Overlay (Volatility & Mean Reversion)This indicator provides a clean, single-view envelope combining the Bollinger Bands (BB) and Keltner Channels (KC) directly onto your price chart. It is an essential tool for traders operating with Volatility Compression (The Squeeze) and Mean Reversion strategies in fast-moving markets like Futures, High BTC Beta Equities, and Crypto. The goal of this tool is twofold: to visually frame the market's current volatility state and to identify high-probability entry points based on expansion or extreme contraction. How to Use the BBKC Overlay: Spotting the Squeeze (Accumulation Phase):The Squeeze is identified when the Bollinger Bands (BB) contract and fit inside the Keltner Channels (KC).The area is clearly marked with a subtle Orange Background Highlight on the main chart. This is the Accumulation phase, signaling low volatility before a potential large directional move. Trading Mean Reversion: When price pushes aggressively outside the outermost bands (the BB Upper/Lower), it signals an extreme volatility expansion and over-extension. This is a strong setup for mean reversion—a high-probability trade targeting a snap-back towards the central Basis Line (SMA).Customizing for Extreme Compression: For traders looking only for the tightest, highest-probability Squeezes, adjust the following setting: KC Multiplier (ATR): Lower this value from the default of 1.5 down to 1.25 or 1.0. This narrows the KC, forcing the Bollinger Bands to contract even further to trigger the Squeeze signal, thus filtering for only the most minimal volatility. Recommended Synergy: For a complete volatility system, pair this BBKC Combined Channels Overlay (your visualization tool) with the BBKC Squeeze Indicator (the sub-pane momentum histogram).Overlay (Main Chart): Shows where the Squeeze is occurring and identifies mean reversion targets. Squeeze Indicator (Lower Pane): Shows if the Squeeze is active and the directional momentum building up, helping you time the breakout entry for the Manipulation/Distribution phase.
Indicador Pine Script®
por rick84etter
Bollinger Keltner Squeeze Indicator (BBKC)Bollinger Keltner Squeeze Indicator (BBKC)This single-pane indicator combines the power of Bollinger Bands (BB) and Keltner Channels (KC) to accurately identify periods of low volatility compression—the famous Squeeze—which often precedes large, directional moves.Designed for traders utilizing Accumulation, Manipulation, Distribution (AMD) strategies, this tool makes spotting the 'Accumulation' phase simple and visually clear, perfect for high BTC Beta equities or futures markets like MES and MNQ.Key Features:Clear Squeeze Visualization:The background of the main chart is shaded Orange when the Squeeze is active (BB is inside KC). This immediately highlights periods of extreme compression.A simple Red/Green Dot below the chart confirms the Squeeze state (Red = Squeeze ON, Green = Squeeze OFF).Momentum Histogram:A built-in momentum oscillator smooths price action and guides the anticipated direction of the breakout.Teal/Orange Bars: Indicate momentum direction while the Squeeze is active (building pressure).Bright Green/Red Bars: Indicate momentum direction after the Squeeze has broken (expansion/breakout).How to Find Maximum Volatility Compression (The "Tightest" Squeeze)To align this indicator with a strategy focused on catching only the most extreme volatility compression—the key to those explosive moves—traders should adjust the Keltner Channel Multiplier setting.Setting Name: KC Multiplier (ATR)Default Value: 1.5Recommended Adjustment: To filter for only the absolute tightest squeezes (where price is least volatile), decrease this multiplier value, typically down to 1.25 or even 1.0.By lowering the KC Multiplier (ATR), you narrow the Keltner Channel boundaries. This requires the Bollinger Bands to compress even further to fit inside, ensuring the indicator only signals the Squeeze state during moments of truly minimal volatility, setting you up for maximum opportunity.
Indicador Pine Script®
por rick84etter
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy Overview Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation. Key Features & Originality 1. Adaptive Trend Detection System - Modified trend-following algorithm with amplitude-based channel deviation - Dynamic channel width adjustment based on ATR (Average True Range) - Dual-layer trend confirmation using both price action and momentum indicators 2. Pre-Configured Asset Optimization The strategy includes carefully backtested parameter sets for: - **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs - **Forex Pairs**: Major and minor currency pairs - **Stocks**: TSLA, AAPL, GOOG - **Commodities**: Gold, Silver, Platinum - Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h) 3. Advanced Risk Management - Multiple take profit levels (4 targets with customizable position sizing) - Dynamic stop-loss options (ATR-based or percentage-based) - Position size allocation across profit targets (default: 30%, 30%, 30%, 10%) 4. Multi-Timeframe Analysis Dashboard - Real-time analysis across 4 configurable timeframes - Comprehensive performance metrics display - Visual representation of current market conditions 5. Market Condition Filtering - RSI-based trend strength filtering - ATR-based volatility filtering - Sideways market detection to avoid choppy conditions - Customizable filter combinations (ATR only, RSI only, both, or disabled) How to Use Initial Setup 1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu 2. **Enable Strategy**: Enter "Alpha" in the code confirmation field 3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration Parameter Customization - **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity - **TP/SL Method**: Choose between ATR-based or percentage-based targets - **Filtering Options**: Select appropriate market filters for your trading style - **Backtest Period**: Set the number of days for strategy testing (max 60) Signal Interpretation - **BUY/SELL Labels**: Primary entry signals based on trend changes - **Support/Resistance Zones**: Visual zones showing key price levels - **Dashboard**: Real-time display of position status, targets, and performance metrics Important Considerations Limitations and Warnings - **Backtesting Period**: Results shown are based on historical data from the specified backtest period - **No Guarantee**: Past performance does not guarantee future results - **Market Conditions**: Strategy performance varies with market volatility and trending conditions - **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled Risk Warnings - The pre-configured settings are starting points and may require adjustment for current market conditions - Always use appropriate position sizing and risk management - Test thoroughly on demo accounts before live trading - Monitor and adjust parameters regularly as market dynamics change Technical Components Core Indicators Used - Modified trend detection with amplitude-based channels - RSI (Relative Strength Index) for momentum confirmation - ATR (Average True Range) for volatility measurement - Support/Resistance detection using pivot points - Bollinger Band variant for trend confirmation Alert Functionality The strategy includes comprehensive alert options for: - Entry signals (long and short) - Take profit levels (TP1, TP2, TP3, TP4) - Stop loss triggers - Integration with trading bots via webhook messages Recommended Usage Best Practices 1. Start with the pre-configured settings for your chosen asset 2. Run backtests over different time periods to verify performance 3. Use the dashboard to monitor real-time strategy performance 4. Adjust filters based on current market conditions 5. Always use stop losses and proper risk management Timeframe Recommendations - **Short-Term**: Use 5m, 15m configurations for scalping - **Mid-Term**: Use 30m, 45m configurations for day trading - **Long-Term**: Use 1h configurations for swing trading Updates and Support The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations. Disclaimer This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
Estrategia Pine Script®
por DrFXGOD
4
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System ## WHAT THIS INDICATOR DOES: This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center. ## INDICATOR VS STRATEGY - KEY DISTINCTION: **This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it: - Displays visual signals on your chart when entry conditions are met - Sends customizable alerts to your device/email when opportunities arise - Shows TP/SL levels for reference but does not place orders - Requires you to manually enter and exit positions based on signals - Works with all TradingView subscription levels (alerts included on all plans) **For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version. ## ALERT CAPABILITIES: This indicator includes four distinct alert conditions that can be configured independently: **1. New Channel Formation Alert** - Triggers when a fresh BOCS channel is identified - Message: "New BOCS channel formed - potential scalp setup ready" - Use this to prepare for upcoming trading opportunities **2. Long Scalp Entry Alert** - Fires when price touches the long entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5" **3. Short Scalp Entry Alert** - Fires when price touches the short entry zone - Message includes current price, calculated TP, and SL levels - Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75" **4. Any Entry Signal Alert** - Combined alert for both long and short entries - Use this if you want a single alert stream for all opportunities - Message: "BOCS Scalp Entry: at " **Setting Up Alerts:** 1. Add indicator to chart and configure settings 2. Click the Alert (⏰) button in TradingView toolbar 3. Select "BOCS Channel Scalper" from condition dropdown 4. Choose desired alert type (Long, Short, Any, or Channel Formation) 5. Set "Once Per Bar Close" to avoid false signals during bar formation 6. Configure delivery method (popup, email, webhook for automation platforms) 7. Save alert - it will fire automatically when conditions are met **Alert Message Placeholders:** Alerts use TradingView's dynamic placeholder system: - {{ticker}} = Symbol name (e.g., NQ1!) - {{close}} = Current price at signal - {{plot_1}} = Calculated take profit level - {{plot_2}} = Calculated stop loss level These placeholders populate automatically, creating detailed notification messages without manual configuration. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Alerts enabled - If ATR < threshold: No alerts fire This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗). ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders. ### Stop Loss Placement: Stop losses are calculated just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ## INPUT PARAMETERS: ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long alert generation on/off - **Enable Short Scalps**: Toggle short alert generation on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time indicator status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Long Color**: Customize long signal color (default: darker green for readability) - **Short Color**: Customize short signal color (default: red) - **TP/SL Colors**: Customize take profit and stop loss line colors - **Line Length**: Visual length of TP/SL reference lines (5-200 bars) ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short alerts - **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status - **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications ## HOW TO USE: ### For 1-3 Minute Scalping with Alerts (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars to reduce alert spam - **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications - **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels ### For 5-15 Minute Day Trading with Alerts: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias - **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually ### For 30-60 Minute Swing Scalping with Alerts: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts - **Execution**: Larger timeframes allow more analysis time between alert and entry ### Webhook Integration for Semi-Automation: - Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation - Alert message includes all necessary order parameters (direction, entry, TP, SL) - Webhook receives structured data when signal fires - External platform can auto-execute based on alert payload - Still maintains manual oversight vs full strategy automation ## USAGE CONSIDERATIONS: - **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality - **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation - **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation - **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume - **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts - **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe. ## KNOWN LIMITATIONS: - **Indicator does not execute trades** - alerts are informational only; you must manually place all orders - **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues - **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently - **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders - **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown - **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size - **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security() - **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops - **No partial closing capability** - full position management is manual; you determine scaling out - **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale ## RISK DISCLOSURE: Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually. ## ACKNOWLEDGMENT & CREDITS: This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Indicador Pine Script®
por TradeManager_PRO
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System ## WHAT THIS STRATEGY DOES: This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Version**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Trading enabled - If ATR < threshold: No signals fire This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement. ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge. ### Stop Loss Placement: Stop losses are placed just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits. ### Trade Execution Logic: When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position): 1. Calculate entry price at zone boundary 2. Calculate TP and SL based on selected method 3. Execute strategy.entry() with calculated position size 4. Place strategy.exit() with TP limit and SL stop orders 5. Update info table with active trade details The strategy enforces one position at a time by checking strategy.position_size == 0 before entry. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ### Position Sizing System: Three methods calculate position size: **Fixed Contracts**: - Uses exact contract quantity specified in settings - Best for futures traders (e.g., "trade 2 NQ contracts") **Percentage of Equity**: - position_size = (strategy.equity × equity_pct / 100) / close - Dynamically scales with account growth **Cash Amount**: - position_size = cash_amount / close - Maintains consistent dollar exposure regardless of price ## INPUT PARAMETERS: ### Position Sizing: - **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount - **Number of Contracts**: Fixed quantity per trade (1-1000) - **% of Equity**: Percentage of account to allocate (1-100%) - **Cash Amount**: Dollar value per position ($100+) ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long entries on/off - **Enable Short Scalps**: Toggle short entries on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time strategy status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Color Settings**: Customize long/short/TP/SL colors ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short entries - **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status ## HOW TO USE: ### For 1-3 Minute Scalping (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars - Position Size: 1-2 contracts ### For 5-15 Minute Day Trading: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - Position Size: Fixed contracts or 5-10% equity ### For 30-60 Minute Swing Scalping: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - Position Size: % of equity recommended ## BACKTEST CONSIDERATIONS: - Strategy performs best in ranging, mean-reverting markets - Strong trending markets produce more stop losses as price breaks channels - ATR filter significantly reduces trade count but improves quality during low volatility - Cooldown period trades signal quantity for signal quality - Commission and slippage materially impact sub-5-minute timeframe performance - Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions - % of Channel TP adapts better to varying channel sizes than fixed points - Fixed contract sizing recommended for consistent risk per trade in futures **Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability. ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality. ## KNOWN LIMITATIONS: - Immediate touch entry can fire multiple times in choppy zones without adequate cooldown - Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size - ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation) - Mean reversion logic fails in strong breakout scenarios leading to stop loss hits - Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price - No partial closing capability - full position exits at TP or SL only - Strategy does not account for gap openings or overnight holds ## RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively. ## ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Estrategia Pine Script®
por TradeManager_PRO