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XAU Seasonality + Setup Quality + Month Strength | WarRoomXYZXAU Seasonality Engine is a technical analysis indicator developed for the study of recurring, calendar-based behavior on XAUUSD (Gold). The tool blends month-of-year seasonality statistics with higher-timeframe context and a setup-quality gate to help users observe when market conditions historically lean strong, weak, or neutral — and how strict trade selection should be during each regime. Indicator Concept An indicator for XAUUSD that combines: 1. Seasonality Regime (Month-of-Year Bias) ► Classifies the current month as Strong / Weak / Neutral based on either: • Preset months (user-defined) or • Auto mode (computed from historical monthly performance) ► Strong months suggest a bullish tailwind (not a signal). ► Weak months suggest headwind / caution and require stricter setup quality. 2. Monthly Performance Engine (Under the Hood) ► Uses the symbol’s monthly timeframe data to compute, per calendar month: • Average monthly return (%) • Win rate (%) — how often that month closes positive • Month Strength Score (0–100) — a blended score derived from performance data ► The score is designed to provide a relative strength snapshot of seasonality by month. 3. Month Strength Histogram ► Plots a histogram (0–100) of the current month’s strength score. • Higher bars = historically stronger month tendency • Lower bars = historically weaker month tendency ► Optional horizontal reference lines mark “strong” and “weak” zones to make regimes obvious at a glance. 4. Setup Quality Meter (Confluence Filter) ► The indicator calculates a Setup Quality Score (0–100) using market structure and momentum components, such as: • EMA trend alignment • Momentum confirmation (EMA fast vs slow) • Structure break confirmation (BOS) • Liquidity sweep behavior • Candle confirmation logic ► This score is intended as a trade-selectivity filter , not a trade executor. 5. Adaptive Rules for Weak Months (Strict Mode) ► When the indicator detects a weak seasonal regime, conditions automatically tighten: • The A+ threshold increases (adaptive thresholding) • Optional rule: Weak months require BOS + Sweep + FVG simultaneously before any A+ condition is considered valid This forces the user into “higher-quality-only” behavior during historically weaker seasonal periods. 🔹1 Visual Components Included • Seasonality regime label (Strong / Weak / Neutral) • Optional background shading based on regime • Month Strength Score histogram (0–100) • Current month stats: Avg return + win rate • Setup Quality Meter value (0–100) • Adaptive A+ threshold display • Weak-month confluence gate status (BOS / Sweep / FVG pass/fail) • Optional alerts when strict criteria are met ➣What Means in the XAU Indicator 🔹 Definition (in THIS indicator) Win Rate = the percentage of historical months that closed positive for the same calendar month. It is NOT: trade win rate ❌ signal accuracy ❌ It is a s tatistical seasonality metric . How It’s Calculated For each calendar month (January, February, etc.), the indicator: 1.Looks at historical monthly candles (Monthly timeframe). 2. Counts how many times that month: •Closed higher than it opened (or higher than previous month close). 3. Divides: Number of positive months ÷ Total number of observed months × 100 Example: September If over the last 20 years: September closed green 14 times September closed red 6 times Then: Win Rate = (14 / 20) × 100 = 70% That’s what you see as in the dashboard. What the Win Rate Is Used For 1️⃣ Part of the Month Strength Score The indicator blends: •Average Monthly Return (%) → measures magnitude •Win Rate (%) → measures consistency Combined into: Month Strength Score (0–100) This avoids a common trap: •A month with 1 huge rally but many losses ≠ reliable •A month with steady positive closes = higher quality environment What Win Rate Tells You High Win Rate (e.g. 65–75%) •Gold more often closes higher in this month •Continuation is statistically more likely •Pullbacks are more likely to resolve in trend direction Low Win Rate (e.g. 35–45%) •Gold more often fails to close higher •More chop, deeper retracements, false breakouts •Continuation trades statistically struggle What It Does NOT Tell You 🚫 It does NOT mean: •“You will win 70% of your trades” •“Every setup in this month works” •“Direction is guaranteed” Seasonality is context, not prediction. Why This Is Powerful When Combined With Your System On its own, win rate is just data. But in your indicator, it’s used to: •🔒 Raise the A+ threshold in weak months •🧠 Force BOS + Sweep + FVG confluence •❌ Block marginal setups automatically So instead of guessing: -“Why is gold so choppy this month?” You know: -“This month historically underperforms SO I must be stricter.” ➣What Means in the XAU Seasonality Indicator 🔹 Definition (in THIS indicator) Avg Monthly Return = the average percentage gain or loss of XAUUSD for a specific calendar month, calculated across many years. It measures magnitude , not frequency. It is NOT: •trade profit ❌ •expected return for the next month ❌ •guaranteed performance ❌ It is a historical seasonality tendency. How It’s Calculated For each calendar month (January, February, etc.), the indicator: 1.Takes every historical occurrence of that month. 2.Calculates the percentage change of the monthly candle: (Monthly Close − Previous Monthly Close) ÷ Previous Monthly Close × 100 3. Adds all those percentage changes together. 4. Divides by the total number of observations. Example: September Assume over 20 years: +2.4%, +1.1%, −0.6%, +3.0%, +1.8%, ... If the sum of all September returns = +28% across 20 years: Avg Monthly Return = +1.40% That’s the number displayed in the indicator. What Avg Monthly Return Is Used For 1️⃣ Measuring Strength of Movement •Win Rate → “How often does it close green?” •Avg Monthly Return → “How big are the moves when it works?” Both are needed. A month can: •Win often but move very little •Move a lot but only occasionally The indicator combines both to avoid misleading conclusions. How to Interpret Avg Monthly Return Positive Avg Return (e.g. +0.8% to +2.0%) •Gold tends to expand during this month •Continuation phases are more likely •Pullbacks are often absorbed Near-Zero Avg Return (e.g. −0.2% to +0.2%) •Market is statistically balanced •Expect chop, rotations, false breaks •Continuation is less reliable Negative Avg Return (e.g. −0.5% or worse) •Downward pressure or heavy mean reversion •Rallies often fade •Risk of aggressive stop hunts What Avg Monthly Return Does NOT Mean 🚫 It does NOT mean: •“Price will move +1.4% this month” •“You should buy because the number is positive” •“This is a guaranteed edge” It describes historical behavior, not future certainty. Why Avg Monthly Return Matters More Than People Think Two months can have the same win rate but behave very differently: Example: Month Win Rate Avg Return Reality Month A 65% +0.2% Small, choppy wins Month B 55% +1.6% Fewer wins, but strong expansions Your indicator would rank Month B as stronger, which is correct for continuation-based strategies. How It Feeds the Month Strength Score The indicator blends: •60% Avg Monthly Return (normalized) •40% Win Rate This means: •Big moves matter more than small consistency •But consistency still matters enough to prevent distortion Result: Month Strength Score (0–100) Which is then used to: •tighten or relax A+ thresholds •activate weak-month strict rules •control trade frequency 🔹2. Intended Use The indicator is designed as a discretionary analysis tool to support study of: • seasonal bias and calendar tendencies • relative strength/weakness across months • how strict trade selection should be across different regimes • confluence behavior when seasonal conditions are unfavorable The tool does not generate forecasts, does not guarantee outcomes, and should not be relied upon as a stand-alone decision mechanism. 🔹3.How to Use XAU Seasonality Engine Recommended charts: XAUUSD, intraday (5m–15m) with a HTF context (1H–4H). 1. Identify the Seasonal Regime • Strong month → you can allow more continuation bias (still require structure). • Neutral month → trade normally, standard criteria. • Weak month → tighten selection, demand clean A+ conditions only. 2. Read the Month Strength Histogram • If the score is high (e.g., 70+), the month has historically shown stronger tendency. • If the score is low (e.g., 40 and below), expect slower conditions, deeper pullbacks, or more chop — and reduce marginal trades. 3. Use the Setup Quality Meter as the Gate ► In normal/strong months: • A+ threshold is moderate (e.g., 70) ► In weak months: • A+ threshold is higher (e.g., 80+) • Optional strict mode: must also pass BOS + Sweep + FVG alignment 4. Example Trade Logic (Framework, Not Signals) ► Bullish framework in a Strong Month: • Seasonal regime = Strong (tailwind) • Structure supports bullish continuation (trend alignment) • Sweep occurs into demand / liquidity grab • Setup Quality reaches A+ threshold • Entry: confirmation candle or retrace to key level • SL: beyond sweep low / invalidation • TP: nearest liquidity / prior highs / HTF level ► Weak Month rule-set (Strict Mode): • Seasonal regime = Weak (headwind) • Only consider trades if: ✅ BOS confirms direction ✅ Sweep occurs and rejects cleanly ✅ FVG exists recently (or is mitigated if you choose that model) ✅ Setup Quality exceeds the elevated adaptive threshold If any one is missing → no trade This is not meant to “predict” gold — it’s meant to enforce discipline when seasonality historically underperforms. 🔹4.Limitations and User Responsibility ► The indicator does not represent financial advice or imply performance expectations. ► Seasonality is statistical tendency, not certainty — macro conditions can override it. ► Results vary by broker feed, timeframe, and settings. ► Users should test thoroughly in simulation before applying to live markets. ► All trading decisions, risk management, and execution remain solely the responsibility of the user. 🔹5. Alerts Optional alerts can notify when: • a new month begins and the seasonal regime changes • A+ criteria are met • weak-month strict conditions pass (BOS + Sweep + FVG) Alerts are informational only and do not constitute actionable recommendations. Disclaimer This script is provided for informational and educational purposes only . It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user. This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes. Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution. Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
مؤشر Pine Script®
من ‎WarroomXYZ‎
Sessions + EMAS + Nube (Mini Table)This indicator is designed to help traders analyze market trends and identify potential trading opportunities. It provides clear visual signals based on price behavior and technical calculations, allowing traders to better understand market structure, momentum, and direction. The indicator can be used on any market and timeframe, making it suitable for both intraday and swing trading. It is intended as a decision-support tool and should be used in combination with proper risk management and other forms of analysis.
مؤشر Pine Script®
من ‎raulerick351‎
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices. The indicator works by calculating in the following steps: Asset Selection The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD"). Monthly Return Calculation For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as: Return = (Close - Open) / Open This step provides a normalized measure of performance for each asset per month. Data Aggregation The script stores two key arrays for each asset and month combination: sumReturns: The cumulative sum of monthly returns countReturns: The number of months with valid data This allows averaging returns later while handling months with missing data gracefully. Table Construction Rows representing months (January–December) Columns representing each asset An additional column showing the average return for all assets per month A final row showing the yearly average return for each asset Filling the Table The table cells are filled as follows: Monthly returns are averaged for each asset and displayed as a percentage. Positive returns are colored green, negative returns red. Missing data is displayed as a gray “—” placeholder. Each row’s values are normalized for the color gradient to show relative performance. Averages Computation The script calculates two types of averages: Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points. Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data. These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison. Buy and Sell Conditions This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to: Identify months where an asset historically outperforms (bullish bias) Identify months with weak historical performance (bearish caution) Compare seasonal patterns across multiple assets for portfolio allocation Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies. Features and Parameters Number of assets: Set how many assets are included in the table (1–32). Assets: Input symbols for the assets you want to analyze. Low % Color: Defines the color for the lowest monthly returns in the gradient. High % Color: Defines the color for the highest monthly returns in the gradient. Cleaned asset names for concise display. Gradient-based visualization for easier pattern recognition. Monthly and yearly averages for comparative analysis. Specifications Monthly Return Calculation Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets. Arrays for Storage sumReturns: Float array storing cumulative monthly returns. countReturns: Integer array storing the number of valid data points per month. These arrays allow efficient aggregation and average calculations without overwriting previous values. Data Retrieval via Security Calls Requests monthly OHLC data for each asset using request.security. Ensures calculations reflect the correct timeframe and allow for historical comparison. Color and Text Assignment Green text for positive returns, red for negative returns. Gray cells indicate missing data. Gradient background shows relative magnitude within the month. Seasonality Analysis The table visually encodes which months historically produce stronger returns. Useful for portfolio rotation, risk management, and identifying cyclical trends. Scalability Supports up to 32 assets. Dynamically adapts to the number of assets and data availability. Gradient scales automatically per row for consistent comparison.
مؤشر Pine Script®
من ‎JTCapitalNL‎
2
Maestro 4hThis indicator is designed to help traders analyze market trends and identify potential trading opportunities. It provides clear visual signals based on price behavior and technical calculations, allowing traders to better understand market structure, momentum, and direction. The indicator can be used on any market and timeframe, making it suitable for both intraday and swing trading. It is intended as a decision-support tool and should be used in combination with proper risk management and other forms of analysis.
مؤشر Pine Script®
من ‎raulerick351‎
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Order Flow: Structural Sniper [Profile + Signals]Overview This script is a comprehensive tool designed to bridge the gap between Market Structure and Order Flow analysis. It aims to eliminate the subjectivity of static support and resistance lines by focusing on dynamic liquidity and the behavior of aggressive versus passive market participants. Unlike traditional indicators that plot static data, the Structural Delta Map dynamically anchors its analysis to the start of the current trend (Pivots), providing a clear "X-Ray" view of how volume was distributed during the current price swing. How it Works The indicator combines three distinct technical concepts into a single system: 1. Market Structure (Pivots): It uses a pivot detection algorithm to identify significant Swing Highs and Swing Lows. This determines the market bias and anchors the analysis to the origin of the movement. 2. Anchored VWAP (Fair Price): It automatically calculates the Volume Weighted Average Price (VWAP) starting from the last confirmed pivot. This yellow line acts as the "spine" of the trend, serving as dynamic institutional support/resistance. 3. Delta Profile & Heatmap: A Volume Profile is plotted on the left side, anchored to the pivot. Split Delta: Instead of a single color, bars are split into Green (Buying Volume) and Red (Selling Volume) based on price action estimation. Heatmap Logic: The opacity of the bars adjusts automatically. Bright/Solid bars represent High Volume Nodes (HVN), while transparent bars represent Low Volume Nodes (LVN) or liquidity voids. How to Use (Strategy) The indicator provides both visual context and specific entry signals: 1. Visual Context: Profile: Look for reactions at bright, wide bars (High Volume Nodes). These act as magnets or barriers. Yellow Line (VWAP): In an uptrend, look for buy opportunities when price retraces to this line. In a downtrend, look for shorts on the retest. 2. Aggression Signals (Triangle "AGR"): Type: Trend Continuation / Pullback. Logic: Triggers when price retraces to the structural value zone (near VWAP), rejects it with higher-than-average volume, and closes in the direction of the trend. 3. Absorption Signals (Cross "ABS"): Type: Reversal / Trap. Logic: Bullish Absorption: Price makes a new local low with high volume (selling pressure), but the candle closes bullish (leaving a long bottom wick). Passive buyers absorbed the aggression. Bearish Absorption: Price makes a new local high with high volume, but closes bearish. Passive sellers absorbed the buying pressure. Settings Pivot Sensitivity: Adjusts how the script detects trend changes. Profile Resolution: Controls the number of rows in the histogram. Signal Filters: Enable/Disable signals and adjust the Volume Multiplier threshold. Technical Disclaimer This indicator estimates "Delta" (Buy vs. Sell volume) based on OHLC price action and bar volume, as Pine Script does not grant access to historical tick-by-tick data. While this approximation is highly effective for identifying aggression and absorption, it differs slightly from Level 2 footprint data found on platforms like Sierra Chart. Accuracy depends on the volume data provided by your exchange.
مؤشر Pine Script®
من ‎br4ss‎
3