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[ZP] Fixed v6 testDISCLAIMER: This indicator in Pine V6 as my first ever Tradingview indicator, has been developed for my personal trading analysis, consolidating various powerful indicators that I frequently use. A number of the embedded indicators within this tool are the creations of esteemed Pine Script developers from the TradingView community. In recognition of their contributions, the names of these developers will be prominently displayed alongside the respective indicator names. My selection of these indicators is rooted in my own experience and reflects those that have proven most effective for me. Please note that the past performance of any trading system or methodology is not necessarily indicative of future results. Always conduct your own research and due diligence before using any indicator or tool. =========================================================================== Introducing the ultimate all-in-one DIY strategy builder indicator, With over 30+ famous indicators (some with custom configuration/settings) indicators included, you now have the power to mix and match to create your own custom strategy for shorter time or longer time frames depending on your trading style. Say goodbye to cluttered charts and manual/visual confirmation of multiple indicators and hello to endless possibilities with this indicator. Available indicators that you can choose to build your strategy, are coded to seamlessly print the BUY and SELL signal upon confirmation of all selected indicators: EMA Filter 2 EMA Cross 3 EMA Cross Range Filter (Guikroth) SuperTrend Ichimoku Cloud SuperIchi (LuxAlgo) B-Xtrender (QuantTherapy) Bull Bear Power Trend (Dreadblitz) VWAP BB Oscillator (Veryfid) Trend Meter (Lij_MC) Chandelier Exit (Everget) CCI Awesome Oscillator DMI ( Adx ) Parabolic SAR Waddah Attar Explosion (Shayankm) Volatility Oscillator (Veryfid) Damiani Volatility ( DV ) (RichardoSantos) Stochastic RSI MACD SSL Channel (ErwinBeckers) Schaff Trend Cycle ( STC ) (LazyBear) Chaikin Money Flow Volume Wolfpack Id (Darrellfischer1) QQE Mod (Mihkhel00) Hull Suite (Insilico) Vortex Indicator
Indicador Pine Script®
por Justas123
8
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Indicador Pine Script®
por DCAUT
"Top 20 Crypto Coins Table Screener + SuperTrend & EMA 9/21 CrosThis indicator is a powerful table screener for the top 20 crypto coins, updated for 2025 and designed for maximum clarity and speed. It displays customizable columns for Symbol, Price, SuperTrend ("Up"/"Down"), and EMA 9/21 crossover signals ("Buy"/"Sell") across multiple assets on a single chart. Features: Covers 20 major coins (edit the symbol list for preferences). SuperTrend direction and coloring, for quick visual identification of trend. EMA 9/21 crossover logic for rapid momentum buy/sell decisions. Fast table rendering, minimal lag—even on basic hardware. All logic, table columns, and alerts directly built into the script. How To Use: Paste the indicator code into Pine Editor and save it. Activate for your preferred timeframes and coins. View the table at the top right for actionable signals. Easy to customize ticker symbols and table layout. Remarks: No RSI, ADX, or TSI for speed—focus is on high-impact trend/momentum signals. Ideal for day traders, swing traders, and crypto investors monitoring broader markets. For questions, improvements, or feedback, comment on the script page or connect via TradingView.
Indicador Pine Script®
por All_in_Traders
Cnagda Pure Price ActionCnagda Pure Price Action (CPPA) indicator is a pure price action-based system designed to provide traders with real-time, dynamic analysis of the market. It automatically identifies key candles, support and resistance zones, and potential buy/sell signals by combining price, volume, and multiple popular trend indicators. How Price Action & Volume Analysis Works Silver Zone – Logic, Reason, and Trade Planning Logic & Visualization: The Silver Zone is created when the closing price is the lowest in the chosen window and volume is the highest in that window. Visually, a large silver-colored box/rectangle appears on the chart. Thick horizontal lines (top and bottom) are drawn at the high and low of that candle/bar, extending to the right. Reasoning: This combination typically occurs at strong “accumulation” or support areas: Sellers push the price down to the lowest point, but aggressive buyers step in with high volume, absorbing supply. Indicates potential exhaustion of selling and likely shift in market control to buyers. How to Plan Trades Using Silver Zone: Watch if price returns to the Silver Zone in the future: It often acts as powerful support. Bullish entries (buys) can be planned when price tests or slightly pierces this zone, especially if new buy signals occur (like yellow/green candle labels). Place your stop-loss below the bottom line of the Silver Zone. Target: Look for the nearest resistance or opposing zone, or use indicator’s bullish label as confirmation. Extra Tip: Multiple touches of the Silver Zone reinforce its importance, but if price closes deeply below it with high volume, that’s a caution signal—support may be breaking. Black Zone – Logic, Reason, and Trade Planning (as CPPA): Logic & Visualization: The Black Zone is created when the closing price is the highest in the chosen window and volume is the lowest in that window. Visually, a large black-colored box/rectangle appears on the chart, along with thick horizontal lines at the top (high) and bottom (low) of the candle, extending to the right. Reasoning: This combination signals a strong “distribution” or resistance area: Buyers push the price up to a local high, but low volume means there is not much follow-through or conviction in the move. Often marks exhaustion where uptrend may pause or reverse, as sellers can soon step in. How to Plan Trades Using Black Zone: If price revisits the Black Zone in the future, it often acts as major resistance. Bearish entries (sells) are considered when price is near, testing, or slightly above the Black Zone—especially if new sell signals appear (like blue/red candle labels). Place your stop-loss just above the top line of the Black Zone. Target: Nearest support zone (such as a Silver Zone) or next indicator’s bearish label. Extra Tip: Multiple touches of the Black Zone make it stronger, but if price closes far above with rising volume, be cautious—resistance might be breaking. Support Line – Logic, Reason, and Trade Planning (as Cppa): Logic & Visualization: The Support Line is a dynamically drawn dashed line (usually blue) that marks key price levels where the market has previously shown significant buying interest. The line is generated whenever a candle forms a high price with high volume (orange logic). The script checks for historical pivot lows, past support zones, and even higher timeframe (HTF) supports, and then extends a blue dashed line from that price level to the right, labeling it (sometimes as “Prev Support Orange, HTF”). Reasoning: This line helps you visually identify where demand has been strong enough to hold price from falling further—essentially a floor in the market used by professional traders. If price approaches or re-tests this line, there’s a good chance buyers will defend it again. How to Plan Trades Using Support Line: Watch for price to approach the Support Line during down moves. If you see a bullish candlestick pattern, buy labels (yellow/green), or other indicators aligning, this can be a high-probability entry zone. Great for planning stop-loss for long trades: place stops just below this line. Target: Next resistance zone, Black Zone, or the top of the last swing. Extra Tip: Multiple confirmations (support line + Silver Zone + bullish label) provide powerful entry signals. If price closes strongly below the Support Line with volume, be cautious—support may be breaking, and a trend reversal or deeper correction could follow. Resistance Line – Logic, Reason, and Trade Planning (from CPPA): Logic & Visualization: The Resistance Line is a dynamically drawn dashed line (usually purple or red) that identifies price levels where the market has previously faced significant selling pressure. This line is created when a candle reaches a high price combined with high volume (orange logic), or from a historical pivot high/resistance, The script also tracks higher timeframe (HTF) resistance lines, labeled as “Prev Resistance Orange, HTF,” and extends these dashed lines to the right across the chart. Reasoning: Resistance Lines are visual markers of “supply zones,” where buyers previously failed, and sellers took control. If the price returns to this line later, sellers may get active again to defend this level, halting the uptrend. How to Plan Trades Using Resistance Line: Watch for price to approach the Resistance Line during up moves. If you see bearish candlestick patterns, sell labels (blue/red), or bearish indicator confirmation, this becomes a strong shorting opportunity. Perfect for placing stop-loss in short trades—put your stop just above the Resistance Line. Target: Next support zone (Silver Zone) or bottom of the last swing. If the price breaks above with high volume, avoid shorting—resistance may be failing. Extra Tip: Multiple resistances (Resistance Line + Black Zone + bearish label) make short signals stronger. Choppy movement around this line often signals indecision; wait for a clear rejection before entering trades. Bullish / Bearish Label – Logic, Reason, and Trade Planning: Logic & Visualization: The indicator constantly calculates a "Bull Score" and a "Bear Score" based on several factors: Trend direction from price slope Confirmation by popular indicators (RSI, ADX, SAR, CMF, OBV, CCI, Bollinger Bands, TWAP) Adaptive scoring (higher score for each bullish/bearish condition met) If Bull Score > Bear Score, the chart displays a green "BULLISH" label (usually below the bar). If Bear Score > Bull Score, the chart displays a red "BEARISH" label (usually above the bar). If neither dominates, a "NEUTRAL" label appears. Reasoning: The labels summarize complex price action and indicator analysis into a simple, actionable sentiment cue: Bullish: Majority of conditions indicate buying strength; trend is up. Bearish: Majority signals show selling pressure; trend is down. How to Use in Trade Planning: Use the Bullish label as confirmation to enter or hold long (buy) positions, especially if near support/Silver Zone. Use the Bearish label to enter/hold short (sell) positions, especially if near resistance/Black Zone. For best results, combine with candle color, volume analysis, or other labels (yellow/green for buys, blue/red for sells). Avoid trading against these labels unless you have strong confluence from zones/support levels. Yellow Label (Buy Signal) – Logic, Reason & Trade Planning: Logic & Visualization: The yellow label appears below a candle (label.style_label_up, yloc.belowbar) and marks a potential buy signal. Script conditions: The candle must be a “yellow candle” (which means it’s at the local lowest close, not a high, with normal volume). Volume is decreasing for 2 consecutive candles (current volume < previous volume, previous volume < second previous). When these conditions are met, a yellow label is plotted below the candle. Reasoning: This scenario often marks the end of selling pressure and start of possible accumulation—buyers may be stepping in as sellers exhaust. Decreasing volume during a local price low means selling is slowing, possibly hinting at a reversal. How to Trade Using Yellow Label: Entry: Consider buying at/just above the yellow-labeled candle’s close. Stop-loss: A bit below the candle’s low (or Silver Zone line, if present). Target: Next resistance level, Black Zone, or chart’s bullish label. Extra Tip: If the yellow label is found at/near a Silver Zone or Support Line, and trend is “Bullish,” the setup gets even stronger. Avoid trading if overall indicator shows “Bearish.” Green Label (Buy with Increasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The green label is plotted below a candle (label.style_label_up, yloc.belowbar) and marks a strong buy signal. Script conditions: The candle must be a “yellow candle” (at the local lowest close, normal volume). Volume is increasing for 2 consecutive candles (current volume > previous volume, previous volume > second previous). When these conditions are met, a green label is plotted below the candle. Reasoning: This scenario signals that buyers are stepping in aggressively at a local price low—the end of a downtrend with strong, rising activity. Increasing volume at a price low is a classic sign of accumulation, where institutions or large players may be buying. How to Trade Using Green Label: Entry: Consider buying at/just above the green-labeled candle’s close for a momentum-based reversal. Stop-loss: Slightly below the candle’s low, or the Silver Zone/support line if present. Target: Nearest resistance zone/Black Zone, indicator’s bullish label, or next swing high. Extra Tip: If the green label is near other supports (Silver Zone, Support Line), the setup is extra strong. Use confirmation from Bullish labels or trend signals for best results. Green label setups are suitable for quick, high momentum trades due to increasing volume Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal. Script conditions: The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest). Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago). When these match, a blue label appears above the candle. Reasoning: This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels. The trend is losing strength, and a reversal or pullback is likely. How to Trade Using Blue Label: Entry: Look to sell at/just below the candle with the blue label. Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present). Target: Nearest support, Silver Zone, or a swing low. Extra Tip: Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish." As with buy setups, always check for confirmation from trend or volume before trading aggressively. Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal. Script conditions: The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest). Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago). When these match, a blue label appears above the candle. Reasoning: This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels. The trend is losing strength, and a reversal or pullback is likely. How to Trade Using Blue Label: Entry: Look to sell at/just below the candle with the blue label. Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present). Target: Nearest support, Silver Zone, or a swing low. Extra Tip: Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish." As with buy setups, always check for confirmation from trend or volume before trading aggressively. Here’s a summary of all key chart labels, zones, and trading logic of your Price Action script: Silver Zone: Powerful support zone. Created at lowest close + highest volume. Best for buy entries near its lines. Black Zone: Strong resistance zone. Created at highest close + lowest volume. Ideal for short trades near its levels. Support Line: Blue dashed line at historical demand; buyers defend here. Look for bullish setups when price approaches. Resistance Line: Purple/red dashed line at supply; sellers defend here. Great for bearish setups when price nears. Bullish/Bearish Labels: Summarize trend direction using price action + multiple indicator confirmations. Plan buys, holds on bullish; sells, shorts on bearish. Yellow Label: Buy signal on decreasing volume and local price low. Entry above candle, stop below, target next resistance. Green Label: Strong buy on increasing volume at a price low. Entry for momentum trade, stop below, target next zone. Blue Label: Sell signal on dropping volume and local price high. Entry below candle, stop above, target next support. Best Practices: Always combine zone/label signals for higher probability trades. Use stop-loss near zones/lines for risk management. Prefer trading in the trend direction (bullish/bearish label agrees with your entry). if Any Question, Suggestion Feel free to ask Disclaimer: All information provided by this indicator is for educational and analysis purposes only, and should not be considered financial advice.
Indicador Pine Script®
por cnagda3
7
Multi-Signal IndikatorHier ist eine professionelle Beschreibung für deinen Indikator auf Englisch: Multi-Signal Trading Indicator - Complete Market Analysis This comprehensive trading indicator combines multiple technical analysis tools into one powerful dashboard, providing traders with all essential market information at a glance. Key Features: Trend Analysis: Three EMAs (9, 21, 50) with automatic trend detection and Golden/Death Cross signals Momentum Indicators: RSI with overbought/oversold zones and visual alerts Trend Strength: ADX indicator with DI+ and DI- showing the power of bullish and bearish movements Market Fear Gauge: VIX (Volatility Index) integration displaying market sentiment from calm to panic levels Volume Confirmation: Smart volume analysis comparing current activity against 20-period average Support & Resistance: Automatic pivot point detection with dynamic S/R lines Buy/Sell Signals: Combined signals only trigger when trend, RSI, and volume align perfectly Visual Dashboard: Color-coded info panel showing all metrics in real-time with intuitive emoji indicators Perfect for: Day traders, swing traders, and investors who want a complete market overview without cluttering their charts with multiple indicators. Customizable settings allow you to adjust all parameters to match your trading style.
Indicador Pine Script®
por dantomann
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs. Why It's Different from Other Strategies Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips). How It Helps Traders - Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue. - Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like . - Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits. - Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise. Why This Is Not a Mashup This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in: - Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`. - Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts. - Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters. All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos. Input Configurations Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing, then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders. RSI / Trigger Group: The Heart of Momentum Detection This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale. - RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns. - Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups. - Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution. - Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision. - Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike. - Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies. - Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks. For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests. Trend / Filters Group: Keeping You on the Right Side of the Market These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends. - EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops. - EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing. Optional Hour Window Group: Timing Your Strikes Avoid bad hours like lunch lulls or after-hours tricks. - Restrict by Session?: Yes/no for using exact market hours. Default off. - Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise. - Restrict by Hour Range?: Fallback yes/no for simple hours. Default off. - Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume. Volume Filter Group: No Volume, No Party Confirms conviction—big moves need big participation. - Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume. - Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm. Risk / Exits Group: Protecting and Profiting Smartly Dynamic stops based on volatility (ATR = Average True Range) keep things realistic. - ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price. - ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk - Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance. - Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry. - Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run. These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style. Always backtest changes—small shifts can flip a 40% win rate to 50%+! Outputs (Visuals & Alerts): - Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price. - Labels: Green "LONG" arrow with RSI value on entries. - Background: Light green highlight on signal bars. - Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications). Entry-Exit Logic Entry (Long Only, One Per Day): 1. Daily Reset: New day clears trade gate and (if required) rearm status. 2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled). 3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window). 4. Execute: Enter long at close; set daily flag to block repeats. Exit: - Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled. - Take-Profit: Entry + (Risk * 2.0) – fixed RR. - Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension. No shorts or hedging—pure long bias. Formulae Used - RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100). - EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters. - ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult). - Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter. - Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover. - Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold. - Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator. - Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc. FAQ Q: Why only one trade/day? A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots. Q: Does it work on all assets/timeframes? A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+). Q: How to optimize? A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data. Q: Alerts don't fire—why? A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only." Q: Trailing stop too loose? A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection. Glossary - Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger. - Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals. - Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers. - R Multiple: Risk units (e.g., 2R = 2x stop distance as target). - Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation. Recommendations - Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate. - Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise. - Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats). - Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future. - Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility. Strategy Properties & Backtesting Setup FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks. Initial Capital $100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations. Base Currency Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets. Order Size 1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code. Pyramiding 0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure. Commission 0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners. Verify Price for Limit Orders 0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy. Slippage 0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens. These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying! ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Estrategia Pine Script®
por kedarcquant
Needle XRThe Didi Index with Full Validation is a technical indicator developed for the TradingView platform, based on the concept of the Didi Index, created by Odir Aguiar (Didi). It uses the relationship between three exponential moving averages (EMAs) of different periods to identify trend reversal or continuation points, known as "needle points." To increase signal reliability, the indicator incorporates validations from four widely used technical indicators: MACD, TRIX, DMI/ADX, and Stochastic. Buy and sell signals are displayed only when all validation conditions are met, ensuring greater accuracy. The indicator is plotted in a separate panel below the price chart, displaying the Didi Index lines (positive and negative), a central reference line, and clear buy (green triangles) and sell (red triangles) signals.
Indicador Pine Script®
por Trader-XR
Trend/Range Composite (Single-Line) v1.4🔹 Step 1: Add it to your chart Copy the whole script. In TradingView → Pine Editor → paste it. Click Add to chart. It will show a white line in a subwindow, plus thresholds at 40 and 60, and a colored background. Optional: You’ll see a status box (top-right of chart) with details like ADX, ATR, slope, etc. 🔹 Step 2: Understand the Score The indicator compresses all signals into a 0–100 “Trend Strength Score”: ≥ 60 = TREND (teal background) → Market is trending, consider trend strategies like vertical spreads, runners, breakouts. ≤ 40 = RANGE (orange background) → Market is choppy/sideways, consider range strategies like butterflies, condors, mean-reversion fades. 40–60 = MIXED (gray background) → Indecision / chop. Best to reduce size or wait for clarity. 🔹 Step 3: Use with Your Trading Plan Intraday (5m, 15m, 30m) Score < 40 → play support/resistance bounces, fade extremes. Score > 60 → play momentum breakouts or pullback continuations. Daily chart Good for swing context (is this month trending or just chopping?). 🔹 Step 4: Alerts You can set TradingView alerts: Cross above 60 → market entering trend mode. Cross below 40 → market entering range mode. Useful if you don’t want to watch constantly. 🔹 Step 5: Confirm with Price Levels The score tells you “trend vs range”, but you still need levels: If score < 40 → mark PDH / PDL (previous day high/low), VAH/VAL, VWAP. Expect rejections/fades. If score > 60 → watch for breakouts beyond PDH/PDL or supply/demand zones.
Indicador Pine Script®
por somberTruffle15943
Jasons Bullish Reversal DetectorThis bullish reversal detector is designed to spot higher-quality turning points instead of shallow bounces. At its core, it looks for candles closing above the 20-period SMA, a MACD bullish crossover, and RSI strength above 50. On top of that, it layers in “depth” filters: price must reclaim and retest a long-term baseline (like the 200-period VWMA), momentum should confirm with RSI and +DI leading, short-term EMAs need to slope upward, and conditions like overheated ATR or strong downside ADX will block false signals. When all of these align, the script flags a depth-confirmed bullish reversal, aiming to highlight spots where structure, momentum, and volatility all support a sustainable shift upward.
Indicador Pine Script®
por Jeyson-Eightyfo
Positional Toolbox v6 (distinct colors)what the lines mean (colors) EMA20 (green) = fast trend EMA50 (orange) = intermediate trend EMA200 (purple, thicker) = primary trend when the chart is “bullish” vs “bearish” Bullish bias (look for buys): EMA20 > EMA50 > EMA200 and EMA200 sloping up. Bearish bias (avoid longs / consider exits): EMA20 < EMA50 < EMA200 or price closing under EMA50/EMA200. the two buy signals the script gives you Pullback Long (triangle up) Prints when price dips to EMA20 (green) and closes back above it while trend is bullish and ADX is decent. Entry: buy on the same close or on a break of that candle’s high next day. Stop: below the pullback swing-low (or below EMA50 for simplicity). Best for: adding on an existing uptrend after a shallow dip. Breakout 55D (“BO55” label) Prints when price closes above prior 55-day high with volume surge in a bullish trend. Entry: on the close that triggers, or next day above the breakout candle’s high. Stop: below the breakout candle’s low (conservative: below base low). Best for: fresh trend legs from bases. simple “sell / exit” rules Trend exit (clean & mechanical): exit if daily close < EMA50 (orange). More conservative: only exit if close < EMA200 (purple). Momentum fade / weak breakout: if BO55 triggers but price re-closes back inside the base within 1–3 sessions on above-avg volume → exit or cut size. Profit taking: book some at +1.5R to +2R, trail the rest (e.g., below prior swing lows or EMA20). quick visual checklist (what to look for) Are the EMAs stacked up (green over orange over purple)? → ok to buy setups. Did a triangle print near EMA20? → pullback long candidate. Did a BO55 label print with strong volume? → breakout candidate. Any close under EMA50 after you’re in? → reduce/exit. timeframe Use Daily for positional signals. If you want a tighter entry, drop to 30m/1h only to time the trigger—but keep decisions anchored to the daily trend. alerts to set (so you don’t miss signals) Add alert on Breakout 55D and Pullback Long (from the indicator’s alertconditions). Optional price alerts at the breakout level or EMA20 touch. risk guardrails (MTF friendly) Risk ≤1% of capital per trade. Avoid fresh entries within ~5 trading days of earnings unless you accept gap risk. Prefer high-liquidity NSE F&O names (your CSV watchlist covers this). TL;DR (super short): Green > Orange > Purple = uptrend. Triangle near green = buy the pullback; stop under swing low/EMA50. BO55 label = buy the breakout; stop under breakout candle/base. Exit on close below EMA50 (or below EMA200 if you’re giving more room).
Indicador Pine Script®
por Pyogi24
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired) Version : PineScript™v6 📌Description The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms. The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action. 🚀Points of Innovation ● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition ● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model ● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms ● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment ● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency ● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters 🔧Core Components ● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations ● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing ● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis ● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control ● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills 🔥Key Features ● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds ● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling ● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours ● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models ● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits ● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability 🎨Visualization ● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores ● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones ● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition ● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance 📖Usage Guidelines ● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation ● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements ● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation ● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries ● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms ● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter ● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts ● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability ● Width Weight w2 - Adjusts impact of zone width on probability calculations ● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment ● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance ● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring ● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions ● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations ● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment ✅Best Use Cases ● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores ● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels ● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior ● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment ● Confluence Trading - Combine with other technical indicators for high-probability trade setups ● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness ⚠️Limitations ● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions ● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators ● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes ● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes ● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments 💡What Makes This Unique ● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection ● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction ● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization ● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation ● Performance Optimization - Efficient processing algorithms designed for real-time trading applications 🔬How It Works ● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection ● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes ● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns ● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation ● Recency decay applications - Weights recent pivots more heavily than historical data for relevance ● Statistical filtering - Eliminates low-significance price levels and reduces market noise ● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds ● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union ● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance ● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis ● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering ● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy 💡Note This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions.
Indicador Pine Script®
por PhenLabs
3
AVGO Advanced Day Trading Strategy📈 Overview The AVGO Advanced Day Trading Strategy is a comprehensive, multi-timeframe trading system designed for active day traders seeking consistent performance with robust risk management. Originally optimized for AVGO (Broadcom), this strategy adapts well to other liquid stocks and can be customized for various trading styles. 🎯 Key Features Multiple Entry Methods EMA Crossover: Classic trend-following signals using fast (9) and medium (16) EMAs MACD + RSI Confluence: Momentum-based entries combining MACD crossovers with RSI positioning Price Momentum: Consecutive price action patterns with EMA and RSI confirmation Hybrid System: Advanced multi-trigger approach combining all methodologies Advanced Technical Arsenal When enabled, the strategy analyzes 8+ additional indicators for confluence: Volume Price Trend (VPT): Measures volume-weighted price momentum On-Balance Volume (OBV): Tracks cumulative volume flow Accumulation/Distribution Line: Identifies institutional money flow Williams %R: Momentum oscillator for entry timing Rate of Change Suite: Multi-timeframe momentum analysis (5, 14, 18 periods) Commodity Channel Index (CCI): Cyclical turning points Average Directional Index (ADX): Trend strength measurement Parabolic SAR: Dynamic support/resistance levels 🛡️ Risk Management System Position Sizing Risk-based position sizing (default 1% per trade) Maximum position limits (default 25% of equity) Daily loss limits with automatic position closure Multiple Profit Targets Target 1: 1.5% gain (50% position exit) Target 2: 2.5% gain (30% position exit) Target 3: 3.6% gain (20% position exit) Configurable exit percentages and target levels Stop Loss Protection ATR-based or percentage-based stop losses Optional trailing stops Dynamic stop adjustment based on market volatility 📊 Technical Specifications Primary Indicators EMAs: 9 (Fast), 16 (Medium), 50 (Long) VWAP: Volume-weighted average price filter RSI: 6-period momentum oscillator MACD: 8/13/5 configuration for faster signals Volume Confirmation Volume filter requiring 1.6x average volume 19-period volume moving average baseline Optional volume confirmation bypass Market Structure Analysis Bollinger Bands (20-period, 2.0 multiplier) Squeeze detection for breakout opportunities Fractal and pivot point analysis ⏰ Trading Hours & Filters Time Management Configurable trading hours (default: 9:30 AM - 3:30 PM EST) Weekend and holiday filtering Session-based trade management Market Condition Filters Trend alignment requirements VWAP positioning filters Volatility-based entry conditions 📱 Visual Features Information Dashboard Real-time display of: Current entry method and signals Bullish/bearish signal counts RSI and MACD status Trend direction and strength Position status and P&L Volume and time filter status Chart Visualization EMA plots with customizable colors Entry signal markers Target and stop level lines Background color coding for trends Optional Bollinger Bands and SAR display 🔔 Alert System Entry Alerts Customizable alerts for long and short entries Method-specific alert messages Signal confluence notifications Advanced Alerts Strong confluence threshold alerts Custom alert messages with signal counts Risk management alerts ⚙️ Customization Options Strategy Parameters Enable/disable long or short trades Adjustable risk parameters Multiple entry method selection Advanced indicator on/off toggle Visual Customization Color schemes for all indicators Dashboard position and size options Show/hide various chart elements Background color preferences 📋 Default Settings Initial Capital: $100,000 Commission: 0.1% Default Position Size: 10% of equity Risk Per Trade: 1.0% RSI Length: 6 periods MACD: 8/13/5 configuration Stop Loss: 1.1% or ATR-based 🎯 Best Use Cases Day Trading: Designed for intraday opportunities Swing Trading: Adaptable for longer-term positions Momentum Trading: Excellent for trending markets Risk-Conscious Trading: Built-in risk management protocols ⚠️ Important Notes Paper Trading Recommended: Test thoroughly before live trading Market Conditions: Performance varies with market volatility Customization: Adjust parameters based on your risk tolerance Educational Purpose: Use as a learning tool and customize for your needs 🏆 Performance Features Detailed performance metrics Trade-by-trade analysis capability Customizable risk/reward ratios Comprehensive backtesting support This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and consider your financial situation before trading.
Estrategia Pine Script®
por r0b3rtcc
7
Strong Trend Suite — Clean v6A clean, rules-based trend tool for swing traders. It identifies strong up/down trends by syncing five pillars: Trend structure: price above/below a MA stack (EMA20 > SMA50 > EMA200 for up; inverse for down). Momentum: RSI (50 line) and MACD (line > signal and side of zero). Trend strength: ADX above a threshold and rising. Volume confirmation: OBV vs its short MA (accumulation/distribution). Optional higher-TF bias: weekly filter to avoid fighting bigger flows. When all align, the background tints and the mini-meter flips green/red (UP/DOWN). It also marks entry cues: pullbacks to EMA20/SMA50 with a MACD re-cross, or breakouts of recent highs/lows on volume. Built-in alerts for strong trend, pullback, and breakout keep you hands-off; use “Once per bar close” on the Daily chart for best signal quality.
Indicador Pine Script®
por kahrendt28
Scenario Screener — Consolidation → Bullish SetupThe script combines multiple indicators to filter out false signals and only highlight strong conditions: Consolidation Check Uses ATR % of price → filters out stocks in tight ranges. Uses Choppiness Index → confirms sideways/non-trending behavior. Momentum Shift (Bullish Bias) MACD Histogram > 0 → bullish momentum starting. RSI between 55–70 → strength without being overbought. Stochastic %K & %D > 70 → confirms strong momentum. Volume & Accumulation Chaikin Money Flow (CMF > 0) → buying pressure. Chaikin Oscillator > 0 (debug only) → accumulation phase. Trend Direction +DI > -DI (from DMI) → buyers stronger than sellers. ADX between 18–40 → healthy trend strength (not too weak, not overheated). Breakout Filter (Optional) If enabled, requires price to cross above 20 SMA before signal confirmation. 📈 Outputs ✅ Green label (“MATCH”) below the bar when all bullish conditions align. ✅ Background highlight (light green) when signal appears. ✅ Info Table (top-right) summarizing key values: Signal = True/False MACD, CMF, Chaikin values
Indicador Pine Script®
por vaibhavchotaliya1990
Volume Voids [theUltimator5]Volume Voids highlights price regions with no or unusually thin participation over a chosen lookback. It bins the lookback’s full price range into equal steps, assigns each bar’s close to a bin, and accumulates volume per bin. Contiguous runs of zero-volume bins are shown as “voids,” while low-volume runs (below a dynamic threshold) mark thin-liquidity “corridors” where price often traverses quickly when revisited. An optional PoC (Point of Control) line marks the mid-price of the highest-volume bin—commonly treated as a recent “value” area that price may revisit. What it draws on your chart Histogram (optional): Right-anchored horizontal volume-by-price bars built from your lookback and bin count. Bars tint green→red via a simple delta proxy (up-bar volume minus down-bar volume) to hint at directional participation inside each price band. Point of Control (optional): A horizontal line at the highest-volume bin’s mid-price (the PoC). Zero-Volume Voids: Translucent boxes where no bin volume printed within the window (detected between the first and last non-empty bins ). Low-Volume Zones: Translucent boxes where bin volume is below a dynamic threshold (see formula below), often acting like low-friction corridors. How it works Slice the lookback’s high→low into N equal price bins. Assign each bar’s closing price to a bin and add that bar’s volume to the bin total. A simple up/down-bar delta proxy drives the histogram’s tinting. PoC = bin with the maximum accumulated volume. Zero-Volume Voids = contiguous runs of bins with exactly zero volume (bounded by the first/last occupied bins). Low-Volume Zones = contiguous runs of bins with volume below: threshold = total_window_volume ÷ (divisor × number_of_bins) Lower divisor → more LV boxes; higher divisor → stricter/fewer boxes. Note: This is a lightweight, chart-native approximation of a volume profile. Volume is binned by bar close (not by tick-level prints or intrabar distribution), so “voids”/“thin” areas reflect this approximation. Key inputs Lookback Period: Window for calculations. Number of Volume Boxes (bins): Histogram resolution. PoC / Show Histogram / Anchor to Right Side: Visibility and layout controls. Low-Volume Threshold Divisor: Sensitivity for LV detection. Colors & Labels: Customize zero-volume / low-volume box colors and optional labels with offsets. How to use (educational, not signals) Context: High-volume = acceptance; thin/zero-volume = inefficiency. Price often rotates near acceptance and moves faster through thin areas. Revisits: On returns to prior voids/LV zones, watch for accelerated moves or fills; PoC can serve as a balance reference. Confluence: Pair with trend tools (e.g., ADX), VWAP/session markers, or structure levels for timing and risk. Limitations & performance Bins use closing price only; intrabar distribution is not modeled. Detections refresh on the live bar; visuals can be heavy on large lookbacks/high bin counts—reduce bins/lookback or hide labels if needed.
Indicador Pine Script®
por TheUltimator5