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[Stratégia] VWAP Mean Magnet v9 (Simple Alert)This strategy is specifically designed for a ranging (sideways-moving) Bitcoin market. A trade is only opened and signaled on the chart if all three of the following conditions are met simultaneously at the close of a candle: Zone Entry The price must cross into the signal zone: the red band for a Short (sell) position, or the green band for a Long (buy) position. RSI Confirmation The RSI indicator must also confirm the signal. For a Short, it must go above 65 (overbought condition). For a Long, it must fall below 25 (oversold condition). Volume Filter The volume on the entry candle cannot be excessively high. This safety filter is designed to prevent trades during risky, high-momentum breakouts.
Estratégia Pine Script®
por GaborNemeth
Fundur - Market Sentiment A Fundur - Market Sentiment A: Complete Trading Indicator Guide Indicator Overview The Fundur - Market Sentiment A is a revolutionary multi-timeframe sentiment analysis indicator that combines advanced ZigZag pivot detection, wave-based structure analysis, and comprehensive market sentiment evaluation into one powerful trading tool. This indicator is designed to identify high-probability reversal points and trend continuations by analyzing market sentiment across 11 different timeframes simultaneously. What Makes Market Sentiment A Unique? Market Sentiment A is a sophisticated ZigZag system that utilizes the Market Sentiment B oscillator to perform advanced on-chart analysis against price action. By introducing Histogram-Correlated ZigZag Analysis - a breakthrough methodology that correlates sentiment histogram waves with actual price pivots to identify validated market extremes. Unlike static pivot indicators, Market Sentiment A provides dynamic analysis that adapts to changing market conditions while maintaining precise accuracy in pivot identification. Core Methodology The indicator operates on the principle that market sentiment oscillates in measurable waves that precede price movements. By analyzing sentiment patterns across multiple timeframes and correlating them with histogram wave behavior, traders can identify precise entry and exit points with quantifiable strength ratings and comprehensive wave event analysis. Key Features 🎯 Revolutionary ZigZag System Histogram-Correlated Detection : Unique correlation between sentiment waves and price pivots Dynamic Speed Control : High, Medium, Low sensitivity settings for different market conditions Validated Extremes : Only confirmed pivots are marked with comprehensive validation system Real-Time Correlation : Live correlation between histogram turns and price extremes 📊 Multi-Timeframe Sentiment Engine 11 Timeframe Analysis : Simultaneous analysis across periods from 8 to 987 bars Advanced Sentiment Calculation : Proprietary algorithm combining multiple sentiment factors Momentum Wave Integration : 34-period momentum waves for trend context Dynamic Smoothing : Optional smoothing for cleaner signals 🧠 Intelligent Wave Event Tracking Green Wave Events : Bullish histogram wave analysis with comprehensive event detection Red Wave Events : Bearish histogram wave analysis with detailed event tracking Event Deduplication : Advanced system prevents duplicate event detection 10+ Event Types : MPIV, HTURN, TRI, SW, VOL, MDIV, HDIV, PDIV and more ⚖️ Advanced Strength Rating System 0-100 Strength Score : Comprehensive strength calculation for every pivot Multi-Factor Analysis : Based on wave events, trend context, structure, and sentiment Real-Time Calculation : Dynamic strength scoring as conditions change Strength Breakdown : Detailed tooltip showing strength components 🎨 Sophisticated Visual System Validated Pivot Labels : Clear ✓ markers for confirmed extremes Structure Analysis : HH/HL/LH/LL structure identification with trend context Dynamic ZigZag Lines : Connecting validated extremes with trend-based coloring Bar Coloring Options : Momentum swings and market sentiment bar coloring Comprehensive Tooltips : Detailed information on hover for every pivot Setup Guide Step 1: Adding the Indicator Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Market Sentiment A" Add the indicator to your chart Step 2: Core System Configuration ZigZag System Settings ✅ Enable ZigZag System: ON (Core functionality) ZigZag Speed : Choose based on your trading style: High Speed : Most sensitive, fastest detection (2-bar lookback) - Best for scalping Medium Speed : Balanced approach (3-bar lookback) - Recommended for most traders Low Speed : Most reliable, slower detection (4-bar lookback) - Best for swing trading ✅ Show ZigZag Lines: ON (Visual connection of validated pivots) Bar Coloring Settings ⚠️ Momentum Swings: OFF (Avoid visual clutter initially) ✅ Market Sentiment: ON (Primary sentiment-based bar coloring) Step 3: Label Display Configuration Essential Labels (Recommended Settings) ✅ Show Validated Pivots (✓): ON (Core validated extremes) ⚠️ Show Potential Turns (●): OFF (Reduces noise - enable once familiar) ⚠️ Show Structure Labels: OFF (Start clean, enable for advanced analysis) ⚠️ Include Trend in Structure Labels: OFF (Advanced feature) ✅ Show Strength Rating (💪): ON (Critical for trade quality assessment) ⚠️ Show Market Sentiment Wave Events: OFF (Advanced feature for later) Label Visual Customization Label Coloring : Standard (Highs=Red, Lows=Green) Label Size : Normal Label Transparency : 0% Text Transparency : 0% Step 4: Alert System Setup ✅ Enable Alerts: ON ⚠️ Alert Potential Bullish Turns: OFF (Disabled by design to prevent noise) ⚠️ Alert Potential Bearish Turns: OFF (Disabled by design to prevent noise) ✅ Alert ONLY on Confirmed Extremes: ON (High-quality signals only) ✅ Include Wave Events in Confirmed Alerts: ON (Comprehensive context) Basic Trading Guide Understanding the Dynamic ZigZag System Market Sentiment A is fundamentally a Dynamic ZigZag System that displays validated highs and lows on your price chart. The indicator uses Market Sentiment B wave calculations internally to determine when sentiment waves finish, but these histograms and oscillators are NOT displayed on your chart . What You See on Your Chart: ✓ Validated Highs : Red checkmarks marking confirmed resistance levels ✓ Validated Lows : Green checkmarks marking confirmed support levels ZigZag Lines : Connecting validated extremes to show market structure 💪 Strength Ratings : 0-100 scores indicating signal quality Structure Labels : HH/HL/LH/LL showing trend context How Validation Works (Behind the Scenes): High Validation : Uses Market Sentiment B wave analysis to confirm when a price high represents a true resistance level Low Validation : Uses Market Sentiment B wave analysis to confirm when a price low represents a true support level Dynamic Detection : Continuously monitors sentiment waves to validate extremes in real-time Quality Filtering : Only displays the most significant highs and lows based on wave completion Key Trading Concept: Focus entirely on the validated highs and lows displayed on your chart. These represent dynamic support and resistance levels that have been confirmed by underlying sentiment analysis. The histogram and oscillator calculations happen internally - your trading decisions should be based on price action around these validated levels. Entry Strategies Primary Strategy: Dynamic Support/Resistance Reversals Setup : Wait for validated pivot with ✓ marker and strength rating displayed on chart Entry Timing : Enter on the bar when validation occurs or on pullback to the validated level Direction : Counter-trend to the validated extreme (buy at validated lows/support, sell at validated highs/resistance) Confirmation : Look for strength rating above 60 for higher probability setups Structure Context : Consider overall trend using HH/HL/LH/LL structure labels Secondary Strategy: ZigZag Trend Continuation Setup : Identify trend direction using consecutive validated highs and lows Entry : Enter in trend direction when price pulls back to previous validated level Confirmation : Look for structure labels confirming trend (HH/HL for uptrend, LH/LL for downtrend) Strength Filter : Use strength ratings above 70 for trend continuation entries Stop Loss Methodology For Long Positions (Validated Lows) : Place stop below the validated low price level For Short Positions (Validated Highs) : Place stop above the validated high price level Alternative Method : Use previous validated extreme in opposite direction as stop level Structure-Based Method : Use significant validated levels that would invalidate the trade setup Buffer Consideration : Add small buffer beyond validated level to account for wicks and spread Profit Taking Strategy For Long Positions (Validated Low Entries): Target 1 : Previous validated high shown on chart (75% of position) Target 2 : Next significant validated high or key resistance level (50% of remaining 25% = 12.5% of original position) Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position) Management : Move stop loss to breakeven once first target (TP1) is executed For Short Positions (Validated High Entries): Target 1 : Previous validated low shown on chart (75% of position) Target 2 : Next significant validated low or key support level (50% of remaining 25% = 12.5% of original position) Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position) Management : Move stop loss to breakeven once first target (TP1) is executed ZigZag Structure Trading Approach Sideways Markets : Trade between validated highs and lows - buy at support, sell at resistance Trending Markets : Use validated levels as pullback entry points in trend direction Structure Breaks : Watch for breaks of significant validated levels to signal trend changes Range Identification : Use consecutive validated highs and lows to identify trading ranges Breakout Trading : Enter when price breaks beyond validated levels with strong momentum Strength Rating Interpretation Understanding the 0-100 Strength Score The strength rating combines multiple factors: Base Strength (25 points) : Fundamental pivot validation Wave Events (12 points each) : Number and quality of wave events detected Trend Context (5-10 points) : Alignment with overall trend direction Structure Quality (3-8 points) : HH/HL/LH/LL structure strength Sentiment Position (5-10 points) : Extreme sentiment readings Momentum Context (5 points) : Momentum divergence confirmation Strength Categories 90-100 : Exceptional strength - Highest probability setups 75-89 : Strong signal - High confidence trades 60-74 : Good signal - Solid trading opportunities 45-59 : Moderate signal - Use additional confirmation 30-44 : Weak signal - Proceed with caution Below 30 : Very weak - Generally avoid Wave Event Reference (Calculation Background) Understanding Wave Events in Strength Calculations Wave events are used internally by Market Sentiment A to calculate strength ratings and validate pivots. While these events may appear in alert messages or tooltips, they are not meant for direct trading decisions - they are calculation components that contribute to the overall strength score. Key Wave Events (For Reference Only) MPIV↑/MPIV↓ : Momentum pivot detection used in validation process HTURN : Histogram turn identification used for wave completion TRI↑/TRI↓ : Triangle pattern detection contributing to strength calculation SW : Small wave indication affecting pivot quality assessment VOL : Volume spike detection adding to strength scoring MDIV↑/MDIV↓ : Momentum divergence contributing to validation strength HDIV↑/HDIV↓ : Histogram divergence used in pivot confirmation PDIV↑/PDIV↓ : Price divergence analysis for strength enhancement How Wave Events Affect Your Trading Strength Score Impact : More events generally result in higher strength ratings for validated pivots Alert Context : Events may be mentioned in alerts to provide background on signal quality Focus on Results : Instead of analyzing individual events, focus on the final strength rating and validated pivot levels Trust the System : The indicator processes these events automatically - your job is to trade the validated highs and lows Analysis Setups Setup 1: Scalping Configuration (1-5 minute charts) Core Settings: ZigZag Speed: High (fastest detection for quick scalps) Show Validated Pivots: ON Show Strength Rating: ON Bar Coloring: Market Sentiment Visual Settings: Label Size: Small (reduce visual clutter) ZigZag Lines: ON Potential Turns: ON (for immediate signals) Trading Approach: Focus on strength ratings above 70 for scalp entries Quick entries at validated highs/lows with immediate execution Tight stops just beyond validated levels Target previous validated pivots shown on chart for quick profits Use ZigZag structure to identify rapid reversal opportunities Setup 2: Day Trading Configuration (5-15 minute charts) Core Settings: ZigZag Speed: Medium (balanced approach) Show Validated Pivots: ON Show Strength Rating: ON Include Wave Events: ON (for context) Visual Settings: Label Size: Normal Show Structure Labels: ON (for trend context) ZigZag Lines: ON with trend coloring Trading Approach: Wait for strength ratings above 60 for quality setups Use HH/HL/LH/LL structure labels for trend bias Combine reversal trades at extremes with trend continuation at pullbacks Hold positions targeting next validated pivot levels Use ZigZag structure analysis for entry timing and market context Setup 3: Swing Trading Configuration (1-4 hour charts) Core Settings: ZigZag Speed: Low (most reliable signals) Show Validated Pivots: ON Show Structure Labels: ON Include Trend Analysis: ON Visual Settings: Label Size: Normal Show all wave events for comprehensive analysis Enable all alert types Trading Approach: Focus on strength ratings above 75 for swing positions Emphasize trend continuation using ZigZag structure Use validated level breaks for major position adjustments Hold positions across multiple sessions targeting distant validated levels Use comprehensive structure analysis (HH/HL/LH/LL) for entries/exits Setup 4: Position Trading Configuration (4H-Daily charts) Core Settings: ZigZag Speed: Low (maximum reliability) Show Validated Pivots: ON Show Structure Labels: ON Show all analysis features Visual Settings: Clean, comprehensive labeling Full wave event display Trend-based coloring for major bias Trading Approach: Only trade strength ratings above 80 for position entries Focus on major ZigZag structure changes and validated level breaks Use long-term structure analysis (HH/HL/LH/LL) for bias Hold positions for weeks to months targeting major validated levels Align with fundamental analysis and major market structure Setup 5: Multi-Asset Analysis Configuration For Forex Pairs: Use Medium to Low speed settings Focus on major session changes Pay attention to news event correlation Use strength ratings above 70 For Crypto Assets: Medium speed for 24/7 market adaptation Higher volatility requires strength above 75 Monitor weekend behavior patterns Consider market sentiment cycles For Stock Markets: Align with market hours Consider earnings and economic events Use sector-specific analysis Respect market close/open dynamics Visual Components Core Visual Elements ✓ Validated Pivots : Green checkmarks for confirmed lows, red for confirmed highs ● Potential Turns : Small dots showing histogram turn correlations (optional) ZigZag Lines : Connecting validated extremes with trend-based coloring 💪 Strength Ratings : Numerical strength scores from 0-100 Structure Labels : HH/HL/LH/LL with trend context (optional) Bar Coloring System Market Sentiment Coloring : Based on sentiment oscillator position and momentum Extreme Conditions : Special coloring for extreme overbought/oversold conditions Momentum Swing Coloring : Alternative coloring based on momentum analysis Advanced Visual Features Wave Event Labels : Comprehensive event display within pivot labels Trend Context : Dynamic trend identification and display Strength Breakdown : Detailed tooltips showing strength components Custom Coloring Modes : Standard vs trend-based coloring options Alert System Core Alert Types Validated High Confirmed : When red wave validates ultimate high with full context Validated Low Confirmed : When green wave validates ultimate low with full context Trend Change Detected : When structure analysis detects trend shifts Alert Message Structure Each alert includes: Timeframe identification Signal type (BULLISH/BEARISH) Structure context (HH/HL/LH/LL) Strength score with 💪 rating Exact price level Wave events context (if enabled) Setting Up Alerts Enable desired alert types in indicator settings Focus on "Confirmed Extremes" alerts for quality Enable wave events for comprehensive context Test alerts on historical data first Set up multiple notification methods Risk Management Framework Strength-Based Position Sizing Strength 90-100 : Maximum position size (3-5% risk) Strength 75-89 : Large position size (2-3% risk) Strength 60-74 : Standard position size (1-2% risk) Strength 45-59 : Small position size (0.5-1% risk) Below 45 : Avoid or minimal size (0.25% risk maximum) Stop Loss Guidelines Primary Method : Always use validated pivot levels for stops Buffer Method : Add small buffer beyond validation level Multiple Timeframe : Consider higher timeframe validated levels Wave Event Context : Adjust stops based on event confluence Risk-Reward Optimization Minimum R:R : 1.5:1 for all trades Preferred R:R : 2:1 or better for strength above 70 Exceptional Setups : 3:1+ for strength above 85 Position Management : Take 75% at TP1, 50% of remaining at TP2, close remaining at TP3 Stop Management : Move stop to breakeven after TP1 execution Best Practices Signal Quality Assessment Always wait for validated pivots with ✓ checkmarks displayed on chart Prioritize strength ratings above 60 for trade quality Focus on the validated high/low levels rather than underlying calculations Consider HH/HL/LH/LL structure labels for directional bias Use ZigZag line connections to understand market structure flow Entry Timing Optimization Enter on validation bar or immediate pullback to validated level Use lower timeframes for precise entry refinement around validated levels Wait for strength score calculation completion before entry Monitor price action around validated highs and lows Consider multiple timeframe validated level alignment Exit Strategy Management Use opposite validated pivots displayed on chart as primary targets Execute Fundur 3-stage exit: 75% at TP1, 12.5% at TP2, 12.5% at TP3 Move stop loss to breakeven immediately after TP1 execution Monitor strength ratings of new validated levels that could reverse remaining position Watch for structure changes (trend breaks) via HH/HL/LH/LL labels for early exit consideration Common Mistakes to Avoid Signal Interpretation Errors Don't trade potential turns without ✓ validation markers Never ignore strength ratings below 45 - they indicate weak signals Don't chase signals after significant movement away from validated levels Avoid overriding clear ZigZag structure and trend context Don't ignore the relationship between consecutive validated highs and lows Risk Management Failures Never risk more than the strength score suggests for position sizing Don't move stops against validated levels - they represent key structure Avoid oversizing on "sure thing" setups - even high-strength signals can fail Don't ignore multiple timeframe validated level context Never trade without clear invalidation levels (validated highs/lows for stops) System Usage Mistakes Don't enable all features immediately - start simple Avoid changing speed settings mid-session Don't ignore alert system capabilities Never disable core validation features Don't overlook customization for your chart setup Advanced Techniques Multi-Timeframe ZigZag Analysis Use higher timeframe validated levels for major bias and targets Align lower timeframe entries with higher timeframe validated structure Look for validated level confluence across timeframes Monitor strength rating consistency of validated levels across periods Advanced Structure Pattern Recognition Identify recurring validated level patterns and their outcomes Recognize high-probability ZigZag structure sequences Use historical validated level patterns for target projection Combine ZigZag analysis with other Fundur technical analysis tools Advanced Alert Utilization Create custom alert combinations based on strength thresholds Use validated level break alerts for position management Combine strength rating filters with validated pivot alerts Develop systematic responses to different validated level types Conclusion The Fundur - Market Sentiment A indicator represents a breakthrough in technical analysis, providing a dynamic ZigZag system that displays validated highs and lows with unprecedented accuracy. By following the methodologies outlined in this guide and adapting the settings to your trading style, you can harness the full power of this sophisticated system for more precise and profitable trading decisions. The key to success with Market Sentiment A lies in understanding that it is fundamentally a dynamic support and resistance system. Focus on the validated highs and lows displayed on your chart, use the strength ratings to assess signal quality, and leverage the structure analysis for trend context. Start with conservative settings, focus on high-strength signals, and gradually incorporate advanced features as you become familiar with the system's behavior across different market conditions. Remember that this indicator provides the tools for identification and analysis - successful trading still requires proper risk management, psychological discipline, and continuous learning. Use the strength rating system as your primary guide, respect the validated pivot methodology, and always prioritize capital preservation over profit maximization.
Indicador Pine Script®
por Fundur
RS Ratio vs Benchmark (Colored)📈 RS Ratio vs Benchmark (with Color Change) A simple but powerful tool to track relative strength against a benchmark like QQQ, SPY, or any other ETF. 🔍 What it Shows RS Ratio (orange line): Measures how strong a stock is relative to a benchmark. Moving Average (teal line): Smooths out RS to show trend direction. Color-coded RS Line: 🟢 Green = RS is above its moving average → strength is increasing. 🔴 Red = RS is below its moving average → strength is fading. 📊 How to Read It Above 100 = Stock is outperforming the benchmark. Below 100 = Underperforming. Rising & Green = Strongest signal — accelerating outperformance. Above 100 but Red = Consolidating or losing momentum — potential rest period. Crosses below 100 = Warning sign — underperformance. ✅ Best Uses Spot leading stocks with strong momentum vs QQQ/SPY. Identify rotation — when strength shifts between sectors. Time entries and exits based on RS trends and crossovers.
Indicador Pine Script®
por muchavez
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
Indicador Pine Script®
por EZSignalsteam
1
ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis. Core Calculation The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation. True Range is calculated from the current high, low, and previous close. Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars. These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range. The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value. The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization. Visualization Enhancements Several plots and conditions have been added to improve interpretability: Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme. Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually. Mirrored ADX is internally calculated for certain overlays but not directly plotted. The script also provides small circles and diamonds to highlight: Crossovers between ADX and its signal line. DI crossing above or below the 25 threshold. Rising ADX confirmed by rising DI values, with point size reflecting ADX strength. Divergence Detection The indicator includes optional detection of fractal-based divergences on the DI curve: Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI. Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly. Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives. ADX/DI Table When enabled, a floating table displays live values and summaries: ADX value , trend direction (rising/falling), and qualitative strength. DI composite , trend direction, and relative strength. Contextual power dynamics , describing whether bulls or bears are gaining or losing strength. The background colors of the table reflect current trend strength and direction. Interpretation Guidelines ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions. +DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction. When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening. Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation. The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe. Added Value over Existing Indicators Fully color-graded ADX and DI display for better visual clarity. Optional signal MA over ADX with crossover markers. Rich contextual labeling for both divergence and threshold events. Power dynamics commentary and live table help users contextualize current momentum. Customizable options for smoothing type, divergence display, table position, and visual offsets. These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values. Limitations and Disclaimers As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias. Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets. Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems. The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
Indicador Pine Script®
por ZenAlgo_Official
Trend State ADX-DI v6This indicator combines the classic ADX (Average Directional Index) and DI+ / DI– (Directional Indicators) with a modern, easy-to-read visual approach. It highlights trend strength and direction directly on your chart background: ✅ Bullish Trend – DI+ crosses above DI– with ADX above threshold ✅ Bearish Trend – DI– crosses above DI+ with ADX above threshold ✅ Choppiness – ADX below threshold, indicating sideways or weak trend ✅ Transition – Optional highlight for periods near the threshold, signaling a potential trend change Plots for ADX, DI+, and DI– help you track trend momentum, while customizable background colors make it easy to spot trading conditions at a glance. Alerts included for bullish and bearish trend signals. Perfect for day traders and swing traders looking to identify strong directional moves and avoid choppy markets. Created by ThomasO_777, updated for Pine Script v6 by ChatGPT.
Indicador Pine Script®
por ThomasO_777
Mean Reversion & Momentum Hybrid | D_QUANT 📌 Mean Reversion & Momentum Hybrid | D_QUANT 📖 Description: This indicator combines mean reversion logic, volatility filtering, and percentile-based momentum to deliver clear, context-aware buy/sell signals designed for trend-following and contrarian setups. At its core, it merges: A Bollinger Band % Positioning Model (BB%) A 75th/25th Percentile Momentum System A Volatility-Adjusted Trend Filter using RMA + ATR All tied together with a dynamic gradient-style oscillator that visualizes signal strength and persistence over time — making it easy to track high-conviction setups. Signals only trigger when all three core components align, filtering out noise and emphasizing high-probability turning points or trend continuations. ⚙️ Methodology Overview: Bollinger Bands % (BB%): Price is measured as a percentage between upper and lower Bollinger Bands (based on OHLC4). Entries are only considered when price exceeds custom BB% thresholds — emphasizing market extremes. Volatility-Based Trend Filter (RMA + ATR): A smoothed RMA baseline is paired with ATR to define trend bias. This ensures signals only occur when price deviates meaningfully beyond recent volatility. Percentile Momentum Model (75th/25th Rank): Price is compared against its rolling 75th and 25th percentile. If price breaks these statistical boundaries (adjusted by ATR), it triggers a directional momentum condition. Signal Consensus Engine: All three layers must agree — BB% condition, trend filter, and percentile momentum — before a buy or sell signal is plotted. Gradient Oscillator Visualization: Signals appear as a fading oscillator line with a gradient-filled area beneath it. The color intensity represents how “fresh” or “strong” the signal is, fading over time if not reconfirmed, offering both clarity and signal aging at a glance. 🔧 User Inputs: 🧠 Core Settings: Source: Select the price input (default: close) Bollinger Bands Length: Period for BB basis and deviation Bollinger Bands Multiplier: Width of the bands Minimum BB Width (% of Price): Prevents signals during low-volatility chop 📊 BB% Thresholds: BB% Long Threshold (L): Minimum %B to consider a long BB% Short Threshold (S): Maximum %B to consider a short 🔍 Trend Filter Parameters: RMA Length: Period for the smoothed trend baseline ATR Length: Lookback for ATR in trend deviation filter ⚡️ Momentum Parameters: Momentum Length: Period for percentile momentum calculation Mult_75 / Mult_25: ATR-adjusted thresholds for breakout above/below percentile levels 🎨 Visualization: Bar Coloring: Highlights candles during active signals Background Coloring: Optional background shading for signals Show Oscillator Plot: Toggle the gradient-style oscillator 🧪 Use Case: This indicator works well across all assets for trend identification. It is particularly effective when used on higher timeframes (e.g. 12H, 1D,2D) to capture mean reversion bounces or confirm breakouts backed by percentile momentum and volatility expansion. ⚠️ Notes: This is not financial advice. Use in combination with proper risk management and confluence from other tools.
Indicador Pine Script®
por D_QUANT
Aroon, Velocity & RMS Volume Strategy📊 Gabriel's Aroon, Velocity & RMS Volume Strategy 🔎 Description Gabriel's Aroon, Velocity & RMS Volume Strategy is a sophisticated and adaptive trend-following system that combines directional bias detection using the Aroon indicator, momentum assessment via RMS-scaled volume velocity, and signal confirmation through a Super Smoother filter. This multi-layered strategy is optimized for dynamic position sizing and tailored risk management based on both time and volatility. It includes: Aroon Oscillator Logic for trend reversal detection. Super Smoother as a trend filter. RMS-Scaled Volume Velocity to capture powerful momentum shifts. Adaptive ATR-based Stop Loss and Take Profit with customizable multipliers. Dynamic risk & TP adjustment by hour, enabling time-sensitive strategy tuning. Position sizing using volatility and price structure. This strategy is well-suited for both intraday and swing trading on various assets such as stocks, futures, and crypto. ⚙️ Core Components & Logic 🔁 1. Signal Filters Aroon Oscillator: Aroon Up = (highestbars + length) / length * 100 Aroon Down = (lowestbars + length) / length * 100 A bullish crossover of Aroon Up over Aroon Down signals a long entry. A bearish crossunder signals a short entry. Super Smoother: A zero-lag trend filter to confirm the overall trend. Trade is only taken if price (src) is above the smoother (long) or below (short). Velocity of RMS Volume: A custom momentum oscillator based on root mean square of bandpassed volume. Entry condition requires that momentum is increasing (velocity > velocity ). 🧠 2. Strategy Logic Entry Conditions: ✅ Long: Aroon Up crosses above Aroon Down + Price above smoother + Volume momentum rising. ✅ Short: Aroon Down crosses above Aroon Up + Price below smoother + Volume momentum rising. Exit Conditions: 📌 Stop Loss: Based on ATR * SL multiplier. 🎯 Take Profit: Based on ATR * TP multiplier. 📏 Position Size: Based on user-defined risk % and real-time stop distance. ⏰ 3. Time Filter & Dynamic Risk The strategy allows filtering trades to specific hours (optional). You can define: Allowed hours (e.g., 10am, 11am, 12pm) Custom risk % per hour Custom TP multipliers per hour This allows adapting to session volatility and optimizing for high-liquidity periods. 🔧 Inputs Overview 📁 Strategy Settings Trade Direction: Long / Short / Both User Risk : How much capital you're willing to risk per trade (default 100%) 🧮 Strategy Entry Settings Src: Price source (default: hl2) Super Smoother Length: Filter for trend confirmation Velocity Length: Lookback period for RMS momentum Aroon Length: Lookback for trend reversal detection 💣 Strategy TP/SL Settings ATR Length: Volatility basis SL Multiplier: How far the stop loss is placed from entry TP Multiplier: How far the take profit is placed 🕒 Time Filter Settings Enable/Disable trade hours Select up to 3 active trading hours (by exchange time) ⏳ Hourly Risk & TP Settings Set dynamic risk and TP multiplier per hour. 🧪 How to Use Add the Script to a Chart (preferably on a trending timeframe like 15m, 1h, or 4h). Choose your Trade Direction (Long/Short/Both). Tune Aroon Length: Shorter for faster signals (e.g., 14) Longer for smoother entries (e.g., 23–50) Adjust Velocity Length if momentum feels noisy or delayed. Set ATR Multipliers for stop loss and take profit distance. Activate Time Filters if you want to trade only specific hours. Backtest and Optimize using TradingView's Strategy Tester to find your best parameters. 🧠 Best Practices Use with volume-rich assets (e.g., SPY, BTC, AAPL) to get accurate momentum readings. Combine with HTF trend filter or macro bias for added confirmation. Use longer Super Smoother periods to reduce whipsaws in sideways markets. Monitor the velocity area plot — teal = bullish momentum, red = bearish momentum. Consider optimizing settings per asset using Sharpe, Sortino, or Omega metrics. 📈 Visual Components 🔸 Orange Line: Aroon Up (normalized) 🔹 Blue Line: Aroon Down (normalized) 🔴 Red Line: Super Smoother of Price 🌊 Teal/Red Area Plot: RMS-scaled volume momentum (Velocity) 🛠 Strategy Example Config (Scalping on 5m) Super Smoother: len = 55 Velocity Length: 12 Aroon Length: 14 ATR Length: 3 SL Mult: 1.0 TP Mult: 2.5 Trade Hours: Enabled for 9am–12pm Dynamic Hour Risk: e.g., Hour 9 = 5%, Hour 10 = 3% ✅ Summary This strategy is a robust adaptive trading system for traders looking to combine trend direction (Aroon), price confirmation (Super Smoother), and volume strength (RMS velocity). With built-in support for time-based optimization, dynamic risk, and volatility-based exits, it’s ideal for those who want precise control over entries and exits in algorithmic trading. Let me know if you'd like a multi-asset version, alerts, or a visual dashboard added.
Estratégia Pine Script®
por GabrielAmadeusLau
Nadaraya-RSI-HighlightDescription of the Nadaraya indicator strategy-RSI-Highlight The Nadaraya-RSI-Highlight indicator combines smoothed price estimation using the Nadaraya-Watson core and the classic RSI oscillator to find market reversal points. The upper and lower boundaries are based on the deviation of the price from the smoothed line, which makes it possible to identify extreme zones. Short signals appear when the RSI drops below 70 after being overbought, and the high of the current or previous candle is above the upper limit of the NWE. Long signals are formed when the RSI rises above 30 after being oversold, and the low of the current or previous candle is below the lower limit of the NWE. For clarity, candlesticks are colored white at RSI > 70 (overbought), yellow at RSI < 30 (oversold). The backlight can be turned on or off in the settings. The indicator helps to find potential reversal points and filter out false signals by combining price dynamics and trend strength across the RSI. Описание стратегии индикатора Nadaraya-RSI-Highlight Индикатор Nadaraya-RSI-Highlight сочетает сглаженную оценку цен с помощью ядра Надарая-Ватсона и классический осциллятор RSI для поиска точек разворота рынка. Верхняя и нижняя границы строятся на основе отклонения цены от сглаженной линии, что позволяет выявлять экстремальные зоны. Сигналы на шорт (▼) появляются, когда RSI опускается ниже 70 после перекупленности, а high текущей или предыдущей свечи выше верхней границы NWE. Сигналы на лонг (▲) формируются, когда RSI поднимается выше 30 после перепроданности, а low текущей или предыдущей свечи ниже нижней границы NWE. Для наглядности свечи окрашиваются: белым цветом при RSI > 70 (перекупленность), жёлтым при RSI < 30 (перепроданность). Подсветку можно включать или отключать в настройках. Индикатор помогает находить потенциальные разворотные точки и фильтровать ложные сигналы, сочетая динамику цены и силу тренда по RSI.
Indicador Pine Script®
por aur-ora
FFT Signal AnalyzerFFT Signal Analyzer The FFT Signal Analyzer uses a simplified Fast Fourier Transform (FFT) approach to extract dominant cyclical components from price data. By detrending and applying adaptive smoothing, the indicator highlights frequency-driven signals that traditional indicators often miss. This tool is ideal for traders who want to visualize cyclical market behavior, identify turning points, and confirm entries/exits with frequency-based momentum signals. How it works: Removes price trend via detrending (moving average subtraction) Applies a bandpass filter (EMA) to isolate dominant frequency components Normalizes the signal using a z-score for consistent visibility Amplifies the signal for easy interpretation Highlights slope changes with background coloring (green = rising, red = falling) Use Cases: Use zero-line crosses to detect cycle shifts or momentum pivots Combine with trend filters (e.g., GRJMOM) for high-probability setups Ideal for detecting underlying rhythm in sideways or oscillating markets Best for: Swing traders, scalpers, and cycle analysts looking for frequency-aware confirmation signals Works on all timeframes and asset classes
Indicador Pine Script®
por bearbearbull23
Monthly BX Trender- Scale Out Strategy V2This strategy is built around the monthly BXTrender oscillating histogram. It enters a position when the BXTrender shifts from dark red to light red, signaling increasing buying pressure. From there, it scales out profits by 10% for every 50% gain from the original entry. The position is fully exited when the monthly BXTrender turns red again. Both the take profit thresholds and scale-out percentages are customizable.
Estratégia Pine Script®
por tradershelpingtraders
3
TDPO-RSI (Time-Decaying Percentile RSI)TDPO-RSI (Time-Decaying Percentile RSI) TDPO-RSI is a modern, statistically-enhanced momentum indicator that improves on traditional RSI by using percentile-based analysis with exponential time decay. Instead of averaging gains and losses equally, this indicator ranks them by size and weights recent data more heavily—resulting in a more responsive and noise-resistant signal. How it works: Calculates percentile rank of gains and losses over a lookback window Applies a decay factor (lambda) to give more weight to recent price action Outputs a percentile-based RSI value between 0 and 100 Optional smoothing via EMA for clearer crossover signals Key Uses: Identify overbought/oversold zones (default: 70/30) Use raw vs. smoothed RSI crossovers for entries Detect momentum shifts earlier than traditional RSI Suitable for scalping, trend continuation, and reversal setups Inputs: Lookback Length: Number of bars used for percentile calculation Decay Factor (lambda): How quickly older data fades in influence (0.80–0.99) Smoothing EMA: Smooths the final output to reduce noise Tip: Combine with price structure and volume for best results. Higher timeframes can be used for trend context, while lower timeframes help with precise entries. This tool is ideal for traders who want adaptive momentum analysis rooted in statistical behavior.
Indicador Pine Script®
por bearbearbull23
EPMA % Impulsive| QuantEdgeBEPMA % Impulsive | QuantEdgeB 🔍 What Is EPMA % Impulsive? A volatility‐standardized impulse oscillator built on a forward-projected, low-lag moving average baseline. It transforms raw price into a 0–100% “impulse meter” by: 1. Trend Projection: Smoothing price with a double-EMA and fitting a short-term regression line that’s extended forward to anticipate direction. 2. Volatility Normalization: Wrapping that projected level in dynamic standard-deviation bands, then scaling price within those bands to a percentage scale. 3. Impulse Thresholds: Offering fixed, percentile-based, or rolling-volatility triggers to distinguish genuine bursts from noise. 💡 Why It’s Special • Forward-Looking Base: By projecting the regression line forward, it reduces lag and “chases” trends intelligently. • Noise-Aware Scaling: Volatility bands adapt in real time—quiet markets tighten bands, explosive markets widen them—ensuring the % reading always reflects true impulse, not random jitter. • Flexible Thresholds: Static levels for simplicity, percentile ranks for regime-aware signals, or full standard-deviation bands for a purely data-driven approach. • Dual Signal Styles: “Impulsive” mode for raw crossovers; “Smooth” mode for filtered breakouts that favor trend persistence. ⚙️ Key Components (High-Level) 1. DEMA Regression Engine o Smooths price with double-EMA, fits a rolling regression, then projects it forward. 2. Volatility Bands o Computes ±N × SD around the projected line to capture current turbulence. 3. % Scaling & Smoothing o Maps price into a 0–100% range within those bands, then applies a final EMA to stabilize. 4. Impulse Triggers o Crosses of the % line vs. your chosen thresholds generate long/short flags. 5. Visualization & Alerts o Color-coded candles, threshold lines, zone fills, arrow markers, plus alert conditions on crossover/crossunder. 💼 Use Cases & Advantages • Swing-Entry Precision Pinpoint true momentum bursts for tighter entries and stops—avoiding false breakouts in choppy environments. • Trend Confirmation Validate whether a breakout is a sustained impulse (e.g., > 75th percentile) or just a spike that quickly fades. • Regime Adaptability Automatically tune sensitivity in low-volatility consolidations versus high-volatility expansions—no manual adjustments needed. • Multi-Asset Versatility Works seamlessly on stocks, futures, FX, crypto, and commodities—because it normalizes entirely to volatility, not price scale. • Clarity & Confidence A single, easy-to-interpret % reading plus visual cues make momentum obvious at a glance—empowering quick, data-driven decisions. • Couple of charts examples. BTC 1D ETH 12H SOL 8H DOGE 4H 📌 Disclaimer: Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading. 🎨 Default Settings (Example) • EPMA Lookback: 21 bars, forward-project 50 bars • Volatility Band: ±2 × SD over 20 bars • Threshold Type: Percentile 75/25 over 70 bars • Signal Mode: Impulsive, Bar Color = On 📌 In Summary EPMA % Impulsive | QuantEdgeB is your forward-projecting, volatility-aware momentum meter—combining regression forecasting with adaptive scaling to surface only the most meaningful impulse moves. Whether you’re timing swing entries or validating breakouts, it turns raw price into a clear, normalized impulse signal that adapts to any market regime. 🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Indicador Pine Script®
por QuantEdgeB
CryptoTrend Pro v0.4 — Adaptive Trend IndicatorCryptoTrend Pro v0.4 — Adaptive Trend Indicator Visual Trend Indication System (Candle Recoloring) The mechanism for dynamic bar coloring is implemented to clearly distinguish market states without cluttering the chart, aligning with best practices for creating effective visual elements in trading tools. Color Scheme and Logic: Green Color: Activated when both conditions are met simultaneously: Price closes above MA1 (short-term moving average) Price closes above MA2 (medium-term moving average) Indicates a sustained uptrend with confirmed momentum across two timeframes Red Color: Activated when both conditions are met simultaneously: Price closes below MA1 Price closes below MA2 Signals a dominant downtrend Gray Color: Applied during price crossovers through MA1: Bullish crossover: ta.crossover(close, ma1) Bearish crossover: ta.crossunder(close, ma1) Indicates potential reversal or change in short-term momentum White Color (default): Maintained when price is positioned between MA1 and MA2, signaling absence of a clear dominant trend and need for additional confirmation It's important to note that MA1 and MA2 are hidden by default on the chart, allowing visual clarity while maintaining informative color signaling. The color scheme is designed according to visual hierarchy principles, where more significant market states are highlighted with contrasting colors while less critical ones use neutral tones. Enhanced Information Panel (Bottom Right Corner) The information block is positioned in the bottom right corner of the chart, avoiding overlap with price bars through proper visual element layering settings. The panel features a structured table format that follows TradingView's recommendations for information organization to maximize readability. Seven Key Metrics Displayed as Follows: Current Price — Displayed in large font with color indication (green/red depending on last bar movement) Volume Status — Shown through color markers (green for volume increase >20%, red for decrease) with percentage value RSI (14) — Scale with color gradient from red (overbought) to green (oversold) MACD Divergence — Icon indicating divergence type (bullish/bearish) or its absence MA4/MA7 Trend — Text indicator with color coding (green for uptrend, red for downtrend) Candle Trend Type — Displays current color indication status (sustained uptrend/downtrend, reversal moment) VWMA Recommendation — Dynamic advice on using volume-weighted moving average for crypto markets Each panel element is designed to present data through various visual methods, making the indicator more intuitive and less cluttered. The information panel uses a transparent background and compact element arrangement to minimize visual noise while preserving all necessary information. Conclusion The updated indicator version focuses on enhancing visual perception of market conditions through a thoughtful candle color scheme and structured information panel. All visual elements comply with TradingView's recommendations for creating effective and user-friendly indicators, where critical information is highlighted while secondary elements don't distract the trader. Hidden moving averages MA1 and MA2 continue to serve as the foundation for color indication, maintaining both chart cleanliness and informational value. Feedback Request We actively welcome your feedback and suggestions for improvement. Any constructive criticism is highly valued as we continue to refine CryptoTrend Pro. Whether it's about visual clarity, functionality, or additional features you'd like to see, your insights are crucial to shaping the next version. Please share your thoughts to help us enhance the indicator's performance and user experience.
Indicador Pine Script®
por DeDoFFtrade
3
ATR-Scaled Deviation OscillatorATR-DevOsc is a custom momentum-and-volatility adaptive oscillator that scales N-bar price momentum by its rolling deviation and then reacts dynamically to sudden ATR spikes. By shrinking the deviation window when true volatility surges, it amplifies extreme moves—making medium-term trend shifts and deep drawdowns far more likely to breach your predefined thresholds. Key features include: • configurable momentum length and separate deviation length for precise control over look-back periods • ATR Reaction Multiplier to tune how strongly sudden volatility spikes contract the deviation, boosting oscillator amplitude during extreme moves • independent upper and lower threshold inputs for clear long/short signal definitions • integrated candle-coloring overlay to immediately visualize trend state on your price chart • built-in alert conditions for both oscillator-threshold crossovers and ATR-reactive triggers This indicator is particularly useful for swing traders seeking medium-term entry and exit points in highly volatile markets like BTC. It combines normalized momentum readings with true volatility feedback, so large drawdowns or breakouts generate unmistakable signal events while routine noise stays filtered. Note: ATR-DevOsc is provided “as is” without formal robustness or optimization testing. Past performance is not indicative of future results; use in live trading only after sufficient back-testing and validation.
Indicador Pine Script®
por C_H_I_P_A
DeltaStats (Anchored)DeltaStats (Anchored) Benchmark price, volatility, and true range against your anchor period—instantly. Metrics: • Net Change – Compares current close to the opening price of the chosen anchor period for % and log returns – Normalized (PoP) Change = (net move ÷ √span) ÷ weighted average of per-bar absolute moves over the normalization span • Standard Deviation – Calculates SD over the anchor period and displays: % of mean, log % of mean – Normalized (PoP) SD = (current period SD − prior period SD) ÷ weighted average of per-period RMS deviations over the normalization span • Average True Range – Calculates ATR over the anchor period and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg) – Normalized (PoP) ATR = (current period ATR − prior period ATR) ÷ weighted average of per-bar true ranges over the normalization span Toggle each metric between 1. % of Baseline 2. Log % of Baseline 3. Normalized (PoP—period-over-period) Underlying calculations: • Net Change – % vs baseline = (close ÷ anchorOpen − 1) × 100 – Log % vs baseline = log(close ÷ anchorOpen) × 100 – Normalized (PoP) = (Δ ÷ √span) ÷ weighted average of |Δ one-bar| over norm span • Standard Deviation – % of mean = SD(period) ÷ SMA(close, period) × 100 – Log % of mean = log(SD(period) ÷ SMA(close, period) + 1) × 100 – Normalized (PoP) = (SD(period) − SD(prior period)) ÷ weighted average of per-period RMS deviations over norm span • Average True Range – % vs TrueMid = SMA(TR ÷ TrueMid, period) × 100 – Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), period) × 100 – Normalized (PoP) = (ATR(period) − ATR(prior period)) ÷ weighted average of one-bar TR over norm span
Indicador Pine Script®
por DeltaStats
DeltaStats (Rolling)DeltaStats (Rolling) Benchmark price, volatility, and true range over your rolling window—instantly. Metrics: • Net Change – Compares today’s close to the close span bars ago for % and log returns – Normalized (PoP) Change = (net move ÷ √span) ÷ simple average of per-bar absolute moves over span × multiplier • Standard Deviation – Calculates span-bar SD and displays: % of mean, log % of mean – Normalized (PoP) SD = (current SD − span bars ago SD) ÷ simple average of RMS deviations over span × multiplier • Average True Range – Calculates span-bar ATR and displays: TR/TrueMid % (avg), TR/TrueMid log % (avg) – Normalized (PoP) ATR = (current ATR − span bars ago ATR) ÷ simple average of one-bar TR over span × multiplier Toggle each metric between 1. % of Baseline 2. Log % of Baseline 3. Normalized (PoP—period-over-period) Underlying calculations: • Net Change – % vs baseline = (close ÷ close − 1) × 100 – Log % vs baseline = log(close ÷ close ) × 100 – Normalized (PoP) = (Δ ÷ √span) ÷ SMA(|Δ one-bar|, span × mult) • Standard Deviation – % of mean = SD(span) ÷ SMA(close, span) × 100 – Log % of mean = log(SD(span) ÷ SMA(close, span) + 1) × 100 – Normalized (PoP) = (SD(span) − SD(span ago)) ÷ SMA(RMS deviations, span × mult) • Average True Range – % vs TrueMid = SMA(TR ÷ TrueMid, span) × 100 – Log % vs TrueMid = SMA(log(TR ÷ TrueMid + 1), span) × 100 – Normalized (PoP) = (ATR(span) − ATR(span ago)) ÷ SMA(one-bar TR, span × mult)
Indicador Pine Script®
por DeltaStats
(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0(HHW) Helix Hybrid Wave Strategy Hakim Tung v1.0 Strategy Concept & Core Logic The (HHW) Helix Hybrid Wave Strategy is a long-only, trend-continuation system designed for BTC/USD on the daily timeframe. It combines multi-timeframe momentum analysis with adaptive trend filtering to capture sustained bullish movements while minimizing false signals. The addition of HMA indicator gives you as additional option to manually exit or re-enter trades should you wish to take some profit off your trade. Indicator Synergy & Trade Logic 1. Gaussian Channel (Trend Filter) 2. Stochastic RSI (Momentum Trigger) 3. Williams %R (Trend Strength) 4. Moving Averages (Confluence) 5. LMA (Logarithmic Momentum Accelerator) Exit Conditions: * Auto-Exit: Price closes below SMA(126). * Manual HMA Exit (Optional): Bearish HMA crossunder below price to secure profits, with re-entry on HMA reversal. Why This Works for BTC * Trend-Centric: Aligns with BTC’s multi-week bullish cycles. * Hybrid Edge: Algorithmic entries + discretionary exits adapt to BTC’s volatility. * Multi-Layer Confirmation: Reduces false signals in choppy markets. Backtest Note: Optimized for BTC daily charts (2018–2024), with parameters tuned for high-momentum phases.
Estratégia Pine Script®
por Speedbirdlander
Fibonacci-Based Volume Flow (VFI)Fibonacci-based Volume Flow is an advanced next-generation evolution of LazyBear’s original VFI script that calculates and averages up to 21 Fibonacci-based VFI pairings to create a smoothed composite volume flow signal. This unique and powerful approach reduces noise, adapts to volatility, and provides a clearer view of trend strength and market structure across all timeframes. It also includes dynamic fibonacci guide levels, adaptive lookbacks, EMA crossovers, and structure-aware pivot labeling to help traders identify high-quality reversals, confirm directional bias, and detect divergences with greater precision. It's ideal for traders looking to enhance momentum analysis through volume-based confirmation. 🧠 Key Features🧠 🔹 Multi-VFI Fibonacci Fusion🔹 Blends up to 21 VFI signals (5, 13, 21, 34… up to 610) into smartly paired averages (e.g., 13/34, 55/144) — forming a smoothed composite VFI that’s more adaptive, less noisy, and highly responsive across market conditions. 🔸🔸 Dynamic Lookbacks🔸 🔸 Automatically adjusts histogram high/low tracking based on your chart’s timeframe — no more static tuning. Perfect for scalping fast charts or confirming long-term trends. 🟥🟩 Color-Coded Histogram🟥🟩 Visualizes VFI momentum with gradient coloring. 🧩🧩 Signal Crossovers 🧩🧩 Color-coded crossover lines persistently show bullish or bearish dominance. Includes three powerful crossover systems: ➖5/13 VFI: Fast, early reversal detection ➖8/21 VFI: Swing-trading sweet spot ➖55/144 VFI: Trend confirmation across long cycles 🏷️ 🏷️Pivot Structure Labels🏷️🏷️ Labels oscillator swings with full structural logic: ➖HH, HL, LH, LL, EQ ➖Displays percent change, price at pivot, oscillator reading ➖Smart coloring detects divergence & trend continuation 📈 📈Dynamic Histogram Guides📈📈 Optional zero and ±50% bands anchor histogram levels based on real histogram extremes, not static thresholds — visually frame momentum shifts with context. 📍 📍Persistent High/Low Pivot Lines📍📍 Track the most significant histogram pivots (not price) across time, with smart labels: ➖Volume flow structure zones ➖Label shows price at pivot, oscillator level, and bars since event ➖Ideal for spotting divergence zones, momentum failures, and trend exhaustion. 🔍 🔍Volatility Table (ATR%)🔍🔍 💡Shows real-time volatility compression or expansion 💡Uses multiple ATR periods (e.g., 14 & 55) for short- and medium-term comparison 💡Helps traders understand whether momentum is likely to continue or stall 🔩🔩Volume-weighted VFI baselines🔩🔩 🟢A daily session-based VWAP of the VFI, which resets each day and highlights intraday volume flow context. 🟠A rolling VWA of VFI, which acts like a VWMA over a fixed window (e.g., 55 bars), smoothing short-term fluctuations and supporting trend/momentum confirmation. These VWAP-style overlays help traders identify strength vs. weakness relative to volume-weighted baselines — useful for divergence spotting, mean reversion setups, or breakout confirmation. 🧰 🧰Under the Hood: How It Works🧰🧰 🔧 Core VFI Logic Based on LazyBear’s foundational VFI: ➖Uses log returns of price (HLC3) ➖Filters insignificant moves using volatility-weighted thresholds ➖Normalizes volume via adaptive capping (e.g., 2.5× average) 🌀 Composite Blend System Each VFI instance is smoothed and then fused via user-selectable pairs. This creates a customizable average VFI representing short, mid, and long-term pressure — one value, many time horizons. 📊 EMA Signal Layer Crosses trigger persistent color shifts in signal lines, making trend strength clear at a glance. VFI blend feeds into EMA crossovers. You can toggle visibility for: ➖Fast (5/13) ➖Medium (8/21) ➖Slow (55/144) 🧭 Pivot Framework Structure logic only compares pivots on same-side polarity: ➖Highs compare to highs above zero ➖Lows compare to lows below zero This avoids nonsensical comparisons and preserves logical sequences (HH → LH → HL). 🧱 Dynamic Labels All pivots and persistent levels display: ➖Oscillator value ➖Price value ➖Structure tag (e.g., LH, HL) ➖% change from prior pivot ➖Lookback info ➖Bar age Unlike traditional VFI: ✅ It blends timeframes with Fibonacci precision ✅ Uses dynamic, volatility-aware logic ✅ Embeds visual structure & divergence intelligence ✅ Enhances entry confidence and exit timing 🔧 This isn’t just an indicator — it’s a volume-informed decision engine. Ideal For: 🔶Trend-followers wanting cleaner volume-based confirmation 🔶Reversal traders spotting structure + divergence 🔶Scalpers or investors needing adaptable signals 🔶Those who loved LazyBear's VFI 📌 Final Note: As powerful as Fibonacci Blended Volume Flow is, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages, or support/resistance levels. Use it as part of a well-rounded trading approach to confirm setups — not to define them alone.
Indicador Pine Script®
por MYNAMEISBRANDON