IDM + IFVG Sniper Entry Final V3
Description
This indicator is designed to identify high-probability “sniper” trade entries based on Smart Money Concepts (SMC), combining Inducement (IDM), Inverse Fair Value Gaps (IFVG), and trend confirmation.
It helps traders avoid noise and focus only on structured setups where liquidity has been taken and price is reacting from key imbalance zones.
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## ⚙️ How It Works
The indicator combines multiple layers of confirmation:
• Trend filtering using EMA (50 / 200)
• Liquidity sweeps (IDM) to detect trapped traders
• Fair Value Gap (FVG) and Inverse FVG (IFVG) zones
• Rejection candles for entry timing
• Cooldown logic to avoid repeated signals
Signals are only printed when all conditions align, resulting in fewer but higher-quality setups.
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## 🔻 SELL Setup Logic
A SELL signal is generated when:
• Market is in a bearish trend
• Price retraces into a bearish IFVG zone
• Liquidity above highs is swept (IDM) or rejection occurs
• Weak close confirms selling pressure
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## 🔺 BUY Setup Logic
A BUY signal is generated when:
• Market is in a bullish trend
• Price retraces into a bullish IFVG zone
• Liquidity below lows is swept (IDM) or rejection occurs
• Strong close confirms buying pressure
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## 🎯 Best Usage
• Works best on 15-minute timeframe
• Can be refined using 5-minute for entries
• Ideal for BTC, indices, and liquid markets
• Designed for trend-following setups
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## ⚠️ Important Notes
This is a rule-based indicator, not a guarantee of profits.
Always combine with proper risk management and market context.
Avoid trading against the trend, and do not chase signals away from zones.
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## 💡 Pro Tip
Use this indicator as a confirmation tool:
• Identify direction on higher timeframe
• Wait for price to return to IFVG zone
• Enter only when signal appears with rejection
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## 🚀 Summary
This tool simplifies Smart Money Concepts into actionable signals, helping traders focus on:
• Liquidity traps (IDM)
• Institutional zones (IFVG)
• Clean, structured entries
Fewer signals. Better precision.
Indicator
Indicator
XAUUSD Master V4 Pro XAUUSD Master Engine V4: Precision Momentum & Scalp System
XAUUSD Master Engine V4, özellikle Altın (Gold) piyasasının yüksek volatilitesine uyum sağlamak üzere geliştirilmiş, momentum tabanlı bir trend takip ve sinyal sistemidir. 1 Dakikalık (M1) ve 5 Dakikalık (M5) grafiklerde en iyi performansı verecek şekilde optimize edilmiştir.
🚀 Neden Master Engine V4?
Geleneksel indikatörler, Altın piyasasındaki ani likidite avlarına ve yatay seyreden "bekletici" piyasa koşullarına çoğu zaman geç tepki verir. V4 sürümü, bu sorunu çözmek için klasik EMA kesişimlerini "Price Velocity" (Fiyat İvmesi) filtresiyle birleştirir. Sinyal sadece fiyat kestiğinde değil, piyasaya gerçek bir hacim ve hız girdiğinde tetiklenir.
🛠 Temel Özellikler
Dinamik Sinyal Sınıflandırması: * 🔵 SAFE: Trend yönünde, yüksek hacimli ve güçlü ADX onaylı sinyaller.
🟡 AGR (Agresif): Hızlı skalp fırsatları için momentum odaklı sinyaller.
Label-Integrated UI: Grafiği kirleten çizgiler kaldırıldı! Her sinyal; Giriş Fiyatı (Entry), TP1 ve TP2 hedeflerini doğrudan mumun altındaki/üstündeki etiketlerde gösterir.
Gelişmiş Skor Tablosu: Sağ üst köşede yer alan dashboard ile toplam sinyal sayısını, başarılı TP oranlarını ve anlık Win Rate (Başarı Oranı) verilerini şeffaf bir şekilde takip edebilirsiniz.
Tam Özelleştirilebilir Görünüm: Etiketlerin renklerini ve saydamlığını stratejinize veya göz zevkinize göre ayarlardan değiştirebilirsiniz.
📈 Strateji ve Kullanım Önerileri
M1 Scalping: Çok hızlı işlemler için ADX limitini biraz düşürebilir ve "AGR" sinyallerini takip edebilirsiniz.
M5 Trend Takibi: En yüksek başarı oranı için "SAFE" etiketli sinyalleri beklemek, ana trendin (200 EMA) yönünde kalmanızı sağlar.
Risk Yönetimi: İndikatör tarafından otomatik hesaplanan ATR bazlı TP noktaları, Altın'ın o anki oynaklığına göre dinamik olarak belirlenir.
⚙️ Ayarlar (Inputs)
Price Velocity (İvme): Buy sinyallerinin hızını belirler.
ADX Threshold: Piyasanın gücünü ölçer (20-25 idealdir).
UI Customization: Etiket renkleri ve saydamlık (Transparency) ayarları.
⚠️ Yasal Uyarı: Bu indikatör bir finansal danışmanlık aracı değildir. Geçmiş performans gelecekteki sonuçların garantisi olamaz. Altın piyasası yüksek risk içerir; lütfen stratejinizi her zaman kendi risk yönetiminizle destekleyin. Indicator
Indicator
Institutional Multi-Model AlphaOverview
The Institutional Multi-Model Alpha is a quantitative "voting" system that aggregates seven independent algorithmic modules to determine market direction. Instead of relying on a single indicator, this tool acts as a Committee of Models, only firing long or short signals when a specific user-defined threshold of mathematical agreement is met.
The 7 Quantitative Modules
Kalman Filter: A noise-reduction algorithm that tracks the underlying price trend by filtering out "market noise."
Stat-Arb Z-Score: Measures price deviation from the mean (Standard Deviation) to identify extreme overbought/oversold conditions.
Regime Detection: Uses the ADX (Average Directional Index) and 200-day SMA to determine if the market is trending or ranging.
Volatility Risk: Analyzes the Rate of Change (ROC) of volatility to identify periods of stabilizing or expanding risk.
Linear Regression Slope: Measures the velocity and angle of the current price trend.
Momentum Cluster: Combines RSI and ROC to confirm that price movement is backed by real strength.
Beta/Correlation (SPY): Analyzes the asset's correlation to the S&P 500 (SPY) to ensure the move is supported by broader market beta.
Key Features
Ensemble Scoring: Each module outputs a score of +1 (Bullish), -1 (Bearish), or 0 (Neutral).
Weighted Thresholds: Users can set a "Signal Threshold" (e.g., 3). A signal only triggers when the net score across all 7 models exceeds that number.
Real-Time Dashboard: A visual table on the chart displays the status of every internal module simultaneously, providing full transparency into why a signal is occurring.
Multi-Asset Analysis: Includes an integrated request.security call to pull S&P 500 data for institutional-grade correlation analysis.
[Technical Specifics
Script Version: Pine Script v6
Overlay: Yes (Plots directly on price)
Visuals: Dynamic background coloring, trend-following "Quant Line," and signal shapes for easy entry/exit identification.
How to Use
Confirmation: Use the Dashboard to see if the majority of models are aligned.
Aggressive vs. Conservative: Lower the Threshold input for more frequent signals, or raise it to 5 or 6 for high-conviction, institutional-style setups.
Trend Following: The central line (Kalman Filter) changes color based on the aggregate score, serving as a dynamic trailing stop or trend bias indicator.
Indicator
0000 Intraday & Overnight Gap Rotation v17.00Here is a comprehensive breakdown of how the "Intraday & Overnight Gap Rotation Matrix" system works.
This strategy is designed as a quantitative testing lab to exploit (or fade) gap anomalies and intraday momentum across a basket of up to 38 assets. It does not hold positions over multiple days; instead, it executes high-frequency, strictly time-bound trades.
The Core Concept
The system revolves around the idea that market performance is heavily divided between two distinct sessions: the Overnight Session (Close to Open) and the Regular Trading Hours (Open to Close). Depending on the mode you select, the algorithm tries to capture specific behavioral anomalies within these windows.
The 3 Strategy Modes
1. Overnight Premium (Buy Close, Sell Open)
The Logic: Historically, a massive portion of the stock market's total return occurs while the market is closed. This mode attempts to capture that "night effect."
The Trigger: Just before the market closes today, the system looks at the intraday performance (Open to Close) of all assets.
The Action: It buys the top-performing assets right at the Close, holds them overnight, and sells them immediately at the next morning's Open, capturing the overnight gap.
2. Intraday Momentum (Buy Open, Sell Close - Best Gaps)
The Logic: "Strength begets strength." If an asset gaps up strongly at the open due to overnight news or earnings, momentum traders will often push it even higher during the day.
The Trigger: At the Open, the system measures the overnight gap (Yesterday's Close to Today's Open).
The Action: It buys the assets with the highest positive gaps right at the Open and sells them at the Close of the same day.
3. Intraday Fade (Buy Open, Sell Close - Worst Gaps)
The Logic: Mean reversion. When an asset suffers a violent, panicked gap down at the open, it has often overreacted. Institutional buyers frequently step in to "buy the dip," causing the gap to partially close intraday.
The Trigger: At the Open, the system measures the overnight gap, but ranks them in reverse.
The Action: It buys the assets with the most brutal negative gaps at the Open and sells them at the Close, hoping for an intraday bounce.
Key Mechanics & Filters
The Universe & Top N Rotation: The system tracks a customized universe of up to 38 assets. Every single day, it ranks them all according to the chosen strategy mode and allocates capital equally into the "Top N" (e.g., the top 5).
The Minimum Move Threshold: This is the most crucial filter for real-world application. High-frequency systems are easily destroyed by trading costs (slippage, bid/ask spread, commissions). The threshold ensures the system only trades when the setup is extreme enough to justify the costs. If no asset meets the minimum threshold (e.g., > 1.5% move), the system stays safely in cash for the day.
Cost Simulation: The system applies a customizable cost penalty twice per day (once for the entry, once for the exit) to simulate a highly realistic equity curve.
Seasonality Matrix (Optional): A master switch that can block all trading during specific, historically weak calendar quarters or half-months, forcing the portfolio into cash to avoid systemic market drawdowns.
The Analytics Dashboard
Instead of just plotting buy and sell arrows, the system acts as a live analytics engine. It features a dashboard that tracks:
Net CAGR: Compound Annual Growth Rate, after all simulated trading costs.
Maximum Drawdown: The worst peak-to-trough drop the strategy ever experienced.
Trade Win Rate: The percentage of daily rotations that ended in a profit.
Daily Popups: Chart labels that break down exactly which assets were bought, what their target metric was (the Gap or the ID Run), and what their exact Profit/Loss contribution was for that specific session. Indicator
TraxisLab - Bitcoin Market EdgeTraxisLab Bitcoin Market Edge is a Bitcoin-focused confluence indicator designed to combine trend, momentum, volume flow, VWAP, orderblocks, liquidity grabs, multi-timeframe bias, and structured risk levels into one clean trading overlay.
The script is built specifically as a decision-support framework for BTC traders who want a compact market edge model directly on the chart.
Core Concept
Bitcoin Market Edge uses a weighted scoring matrix to compare bullish and bearish conditions.
Instead of triggering entries from one isolated signal, the indicator evaluates several market components at the same time:
Volatility-adjusted EMA trend
Trend-adaptive RSI
OBV-based volume flow
Daily VWAP position and reclaim logic
Orderblock interaction
Liquidity grab detection
Break of structure
Multi-timeframe bias
Strong-volume confirmation
A long or short signal is only displayed when the score reaches the selected threshold, the opposite side is weaker by the required score gap, and cooldown rules are satisfied.
Signal Modes
The script includes three operating modes:
Aggressive
More responsive signals with a lower score threshold.
Standard
Balanced signal generation for general use.
Conservative
Stricter filtering with fewer but more selective signals.
A manual score override is available for users who want to define their own required score threshold.
Volatility-Adjusted EMAs
The indicator uses three EMAs:
Fast EMA
Mid EMA
Slow EMA
When volatility adjustment is enabled, EMA speed adapts to current ATR conditions.
In higher volatility, the EMAs can respond faster, while calmer conditions keep the trend model smoother.
The trend engine evaluates EMA alignment and EMA slope to classify the market as bullish, bearish, or neutral.
Trend-Adaptive RSI
The RSI logic adapts to the current trend environment.
In bullish conditions, RSI is interpreted differently than in bearish or neutral conditions.
This helps separate trend continuation momentum from potential exhaustion or reversal behavior.
The script can detect:
Bullish RSI continuation
Bearish RSI continuation
Extreme long conditions
Extreme short conditions
RSI slope shifts
Volume Flow, OBV & VWAP
Bitcoin Market Edge includes a volume-flow layer based on smoothed OBV and Daily VWAP.
This section helps identify whether volume is supporting the current price direction.
It evaluates:
OBV direction
OBV trend vs slower OBV average
Strong volume compared to volume moving average
Price position above or below Daily VWAP
VWAP reclaim events
VWAP proximity
This makes VWAP and volume flow an important part of the score model.
Orderblocks & Liquidity Grabs
The script detects basic bullish and bearish orderblocks after break-of-structure events.
It can display active orderblock zones directly on the chart and track when price trades back into them.
It also detects liquidity grabs:
Bullish liquidity grab below a previous pivot low
Bearish liquidity grab above a previous pivot high
These events are included in the confluence score and can also be displayed as compact “LG” markers.
Multi-Timeframe Bias Dashboard
The indicator checks up to four user-defined higher or lower timeframes.
Each timeframe is scored using:
EMA structure
Price position relative to the slow EMA
RSI bias
The dashboard displays the bias for each selected timeframe as bullish, bearish, or neutral.
This helps traders quickly see whether the current chart aligns with broader market direction.
Confluence Scoring Matrix
The scoring model compares long and short conditions across five categories:
Trend
RSI / momentum
Volume flow and VWAP
Orderblocks, BOS, and liquidity grabs
Multi-timeframe bias
Strong volume can add an additional score boost to the dominant side.
Signals require:
Score above the selected threshold
Minimum long/short score gap
Cooldown confirmation
Confirmed bar if enabled
No active same-direction signal conflict
This helps reduce weak or conflicting signals.
Risk Targets
When a signal appears, the script calculates visual trade levels:
Entry
Stop Loss
TP1
TP2
TP3
The stop is based on ATR, while take-profit levels are based on configurable risk-reward multiples.
These levels are drawn directly on the chart for the active setup.
Visual Features
The indicator includes a clean visual layout with:
Long and short signal labels
Tooltip details with score, entry, SL, TP levels, and MTF count
Volatility-adjusted EMAs
Daily VWAP
EMA and VWAP right-side labels
Bullish and bearish orderblock boxes
Liquidity grab markers
Active entry, stop, and target lines
Multi-timeframe dashboard
Most visuals can be enabled, disabled, or customized in the settings.
Alerts
The script includes alert conditions for:
Long entry
Short entry
Bullish BOS
Bearish BOS
Bullish liquidity grab
Bearish liquidity grab
Price entering bullish orderblock
Price entering bearish orderblock
These alerts can be used to monitor BTC setups without constantly watching the chart.
How to Use
Use Bitcoin Market Edge as a BTC-focused confluence and risk-mapping tool.
Typical use cases include:
Finding long or short opportunities when multiple BTC-specific conditions align
Confirming trend direction with volatility-adjusted EMAs
Checking volume support through OBV and VWAP
Watching for liquidity grabs around pivots
Tracking orderblock reactions after BOS events
Comparing current chart direction with multi-timeframe bias
Mapping risk and reward levels after a signal
For stronger setups, look for signals that align with higher-timeframe bias, strong volume, VWAP direction, and nearby orderblock or liquidity-grab context.
Notes
This script is optimized for Bitcoin market analysis but can also be applied to other liquid crypto markets.
The quality of signals may vary depending on the selected exchange, timeframe, volume data, and market conditions.
Orderblocks and liquidity grabs are simplified structural models and should be used as context rather than guaranteed reversal zones.
The indicator does not execute trades automatically.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice, trading recommendations, or guaranteed results. Always use proper risk management and perform your own analysis before entering any trade. Indicator
TraxisLab - Liquidation HeatmapTraxisLab Liquidation Heatmap is a visual liquidity-mapping tool designed to estimate potential liquidation zones based on recent pivot highs/lows, leverage levels, volume, volatility, and clustered price areas.
The script projects possible long and short liquidation levels on the chart and groups nearby zones into readable clusters. It is built to help traders identify where leveraged positions may be vulnerable and where price could be drawn toward liquidity.
Core Concept
The indicator estimates liquidation zones by using pivot-based entry assumptions and configurable leverage levels.
When a pivot high or pivot low is detected, the script calculates potential liquidation prices for selected leverage tiers such as:
10x
25x
50x
100x
These levels are then displayed as heatmap zones and grouped into clusters when several liquidation levels are close to each other.
Anchor Symbol Support
The script can use an external anchor symbol as its data source.
For example, traders can display liquidation estimates on one chart while calculating zones from a selected futures symbol such as BTCUSDT perpetual contracts.
The anchor timeframe can also be customized, or left empty to use the current chart timeframe.
This is useful when you want liquidation zones to be based on a more liquid reference market.
Liquidation Zone Logic
The script estimates liquidation levels using:
Recent pivot highs and lows
Configurable leverage tiers
ATR-based volatility buffer
Maintenance margin assumptions
Fee buffer
Position-size approximation
Volume-based notional estimate
Long liquidation zones are projected below potential long entry areas.
Short liquidation zones are projected above potential short entry areas.
The result is a visual map of areas where leveraged positions may be forced out if price reaches those zones.
Heatmap Visualization
Liquidation zones are drawn as boxes on the chart.
The visual intensity depends on leverage, age, and density.
Older zones can fade over time, while higher-density zones receive stronger visual emphasis.
The heatmap includes:
Warm colors for long liquidation zones
Cool colors for short liquidation zones
Highlighting for high-density clusters
Special emphasis for the nearest zone
Optional cluster lines
Optional age fading
Visual prioritization to reduce noise
Cluster Detection
Nearby liquidation levels are automatically grouped into clusters using an ATR-based cluster radius.
Each cluster shows:
Number of zones in the cluster
Long vs short zone composition
Estimated notional volume
Distance from current price
Relevance score
Source information when using an anchor symbol
This helps traders focus on important liquidity areas instead of reading every individual liquidation box.
Nearest Zone Marker
The indicator can automatically highlight the closest liquidation cluster to the current price.
This marker shows:
Direction of the nearest zone
Percentage distance from price
Estimated volume in the cluster
This provides a quick overview of the next potential liquidity magnet above or below the market.
Liquidity Cockpit Table
The built-in table summarizes the most relevant nearby liquidation areas.
It displays:
Nearest short liquidation cluster above price
Nearest long liquidation cluster below price
Distance to each zone
Estimated volume
Number of active zones
Number of active clusters
Total estimated liquidation volume
Data source status
This makes it easier to read the heatmap without overcrowding the chart.
Alerts
The script includes alert conditions for:
Price near a long liquidation cluster
Price near a short liquidation cluster
Alerts trigger when price approaches a cluster with sufficient density within the defined ATR distance.
How to Use
Use this indicator as a liquidity and risk map, not as a direct entry signal.
Typical use cases include:
Identifying potential liquidity magnets
Spotting areas where leveraged traders may be forced out
Comparing nearby long and short liquidation pressure
Finding high-density liquidity clusters
Watching whether price is approaching the nearest liquidation zone
Using liquidation zones together with market structure, VWAP, trend, or order-flow tools
The strongest zones are usually those with multiple clustered levels, higher estimated volume, and proximity to current price.
Notes
This script does not access exchange liquidation books directly.
It creates an estimated liquidation heatmap based on price structure, volume, leverage assumptions, volatility, and configurable margin logic.
Values shown in millions are approximate and should be treated as visual context, not exact liquidation data.
The quality of the output depends on the selected symbol, anchor symbol, timeframe, and market conditions.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice, trading recommendations, or guaranteed results. Always use proper risk management and perform your own analysis before making trading decisions. Indicator
TraxisLab - Reversal EngineTraxisLab Reversal Engine is a precision-focused reversal and continuation framework designed to identify high-confluence long and short opportunities using trend, momentum, volume, multi-timeframe confirmation, VWAP context, vector candles, and smart trade management logic.
This version includes a stronger anti-repaint structure, confirmed-bar signal handling, EMA slope filtering, volume confirmation, score gap validation, pending entry previews, and multi-timeframe alignment.
The goal of the Reversal Engine is to provide a complete visual decision layer for traders who want cleaner signals, stronger filtering, and structured trade levels directly on the chart.
Core Concept
The script uses a scoring-based signal engine to evaluate both bullish and bearish conditions.
Instead of triggering signals from one single condition, it combines multiple layers of confirmation:
Trend direction
EMA alignment
EMA slope strength
RSI and stochastic momentum
ADX trend strength
Volume confirmation
VWAP context
Vector candle activity
Market structure signals
Multi-timeframe direction
Score gap between long and short conditions
A signal is only shown when the selected conditions reach the required threshold and pass the active filters.
Signal Modes
The indicator includes three signal modes:
Aggressive
More responsive signals with lower confirmation requirements.
Standard
Balanced signal logic for general use.
Conservative
Stricter filtering for higher-quality but fewer signals.
A manual score override is also available for users who want full control over the required signal threshold.
Anti-Repaint Logic
This version includes a confirmed-bar option to reduce repainting behavior.
When enabled, signals are only generated after the candle closes.
This helps avoid signals appearing and disappearing during live candle formation.
Multi-timeframe data is also requested with lookahead disabled to support cleaner, non-repainting confirmation behavior.
Multi-Timeframe Confirmation
The script can analyze multiple timeframes at once:
5-minute
15-minute
1-hour
4-hour
Daily
Each timeframe is evaluated using EMA structure and RSI bias.
The user can choose how many timeframes must agree before a long or short signal is allowed.
Optional MTF score bonuses can be used to strengthen signals when higher-timeframe alignment is present.
Trend & Momentum Filters
The Reversal Engine includes several filters designed to improve signal quality:
EMA Filter
Uses fast, mid, and slow EMAs to evaluate trend structure.
EMA Slope Filter
Measures the slope of the fast EMA relative to ATR, helping confirm that price has enough directional strength.
ADX Filter
Filters out weak or low-trend environments.
RSI & Stochastic Context
Adds momentum and exhaustion information to the signal engine.
Volume Filter
Requires volume to be above a moving average threshold before signals are allowed.
Vector Candles
The script includes integrated Vector Candle logic.
Vector candles highlight candles with unusually strong volume-spread force compared to recent average activity.
The indicator separates:
Regular bullish vector candles
Regular bearish vector candles
Extreme bullish vector candles
Extreme bearish vector candles
Normal bullish and bearish candles
This helps traders identify high-effort candles, potential exhaustion, strong participation, or aggressive directional moves.
VWAP Context
The indicator includes multiple VWAP references:
Daily VWAP
Weekly VWAP
Monthly VWAP
4H VWAP
These levels provide clean institutional-style reference points for price reaction, trend context, mean reversion, and continuation setups.
VWAP labels can be enabled to keep the chart easy to read.
Market Structure
The script includes optional structure visualization such as:
BOS signals
CHoCH signals
Liquidity pivot markers
These tools help traders understand where price may be breaking structure, shifting direction, or reacting around important swing areas.
Pending Warnings
Pending warnings act as entry previews.
They appear when the setup is close to reaching the required score threshold and the important entry gates are already aligned.
This can help traders prepare for a possible signal before the full confirmation appears.
Pending warnings include their own cooldown to avoid excessive chart noise.
Mutual Exclusion & Trade Lock
To avoid conflicting signals, the script includes mutual exclusion logic and trade locking.
This helps prevent rapid back-and-forth long and short signals during choppy conditions.
The trade lock setting controls how long the engine waits before allowing a new trade direction.
Targets, Stops & Smart Trail
The script includes visual trade management tools:
Stop-loss levels
Up to three take-profit levels
RR-based target calculation
ATR-based stop buffer
Optional smart trailing logic
This gives traders a structured way to visualize risk and potential reward directly after a signal.
Visual Features
The script includes a complete visual overlay with:
Buy and sell labels
Pending warning labels
Vector candle coloring
Vector dots and extreme vector labels
Multi-timeframe trend information
VWAP levels
BOS / CHoCH structure markers
Liquidity pivots
Smart trailing line
Entry, stop, and take-profit levels
Compact statistics panel
Most visual elements can be enabled, disabled, or customized in the settings.
Alerts
The indicator is designed for alert-based workflows and can be used to monitor potential reversal or continuation setups.
Typical alert use cases include:
Long signal
Short signal
Pending long warning
Pending short warning
Structure shift
VWAP reaction
Vector candle event
Trail or level-based management events
How to Use
Use the Reversal Engine as a confluence-based decision support tool.
It is best used to identify moments where several independent conditions align in the same direction.
Typical use cases include:
Finding possible reversal entries after exhaustion
Confirming continuation trades with trend and MTF alignment
Filtering trades with EMA slope and volume confirmation
Using VWAP levels as reaction or mean-reversion zones
Identifying high-effort vector candles near key levels
Managing trades visually with RR-based targets and ATR-based stops
For stronger setups, look for signals that appear near important structure, VWAP levels, liquidity pivots, or after clear momentum exhaustion.
Notes
This script is an analytical overlay and does not execute trades automatically.
Signals are based on configurable scoring and filter logic.
No signal should be treated as guaranteed.
The confirmed-bar option is designed to reduce intrabar repaint behavior, but all indicators using live market data can still change while a candle is open if confirmation is disabled.
Multi-timeframe values depend on the selected chart, symbol, and timeframe settings.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice, trading recommendations, or guaranteed results. Always use proper risk management and perform your own analysis before entering any trade. Indicator
Top Bottom Reversal Entries + Clean Timeframe TPTop Bottom Reversal Entries + Clean Timeframe TP is a reversal-focused overlay designed to identify potential market tops and bottoms using a multi-factor scoring engine.
The script combines RSI behavior, wick rejection, swing liquidity sweeps, Bollinger Band extremes, candle structure, ATR-based range validation, optional volume filtering, and EMA context into one clean reversal framework.
It is built for traders who want a visual entry map for possible reversal zones, including clean ATR-based take-profit and stop-loss levels that automatically adapt to the active chart timeframe.
Key Features
Top & Bottom Reversal Detection
The indicator searches for possible reversal conditions after price reaches local extremes. It evaluates both long and short setups using a structured score system.
Multi-Factor Score Engine
Long and short signals are based on a combination of:
RSI overbought / oversold behavior
Wick rejection
Swing high or swing low sweeps
Bollinger Band extremes
Engulfing candle structure
Previous candle confirmation
ATR-based candle range validation
A signal is only triggered once the required score threshold is reached.
Liquidity Sweep Logic
The script detects when price takes out a previous swing high or swing low and then closes back inside the range, highlighting potential trap or reversal areas.
Wick Rejection Filter
Strong upper or lower wicks are used to identify rejection candles near potential tops or bottoms.
Bollinger Band Context
Optional Bollinger Bands help show when price is trading near statistical extremes.
EMA 200 Context Filter
The EMA can be displayed for trend context.
It can also be used as a soft or hard filter depending on the settings.
Optional Volume Filter
A volume filter can be enabled to require above-average volume during reversal setups.
Cooldown & Alternating Signals
To reduce chart noise, the indicator includes cooldown logic and an optional long/short alternation mode.
Clean TP / SL System
The script includes a clean visual take-profit and stop-loss system based on ATR.
When a long or short setup appears, the indicator can draw:
Entry line
TP1
TP2
TP3
Stop Loss
The TP and SL distances can be calculated in two ways:
Auto Timeframe Mode
Automatically adjusts ATR multipliers depending on the active chart timeframe.
Lower timeframes use tighter targets, while higher timeframes use wider targets.
Manual Mode
Allows full control over TP1, TP2, TP3, and SL ATR multipliers.
Old TP/SL levels can be cleared automatically when a new entry appears or once TP3 / SL is reached.
Signal Labels
The chart displays simple and clean labels:
L for possible bottom long setups
S for possible top short setups
Each label includes a tooltip with ticker, entry price, and setup score.
Alerts
The indicator includes alert conditions for:
Possible Bottom Long
Possible Top Short
It also triggers built-in alert messages once a confirmed setup appears on bar close.
How to Use
This indicator is designed as a reversal entry assistant, not as a fully automated trading system.
It can help traders identify areas where price may be forming a potential top or bottom, especially when multiple reversal factors align.
Typical use cases include:
Spotting possible bottom reversals after liquidity sweeps
Identifying possible top reversals after overextended moves
Mapping ATR-based profit targets and stop zones
Combining reversal labels with higher-timeframe context
Filtering trades using EMA 200, Bollinger Bands, or volume
For best results, use this tool together with your own market structure, session timing, liquidity, and risk management rules.
Notes
Signals are generated only after bar confirmation.
The TP/SL system is visual and based on ATR from the signal candle.
The indicator does not execute trades and does not guarantee that any target or stop will be reached.
The reversal score is designed to highlight confluence, not certainty.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice, trading recommendations, or guaranteed results. Always manage risk carefully and perform your own analysis before entering any trade. Indicator
TraxisLab - Core MapTraxisLab Core Map is a clean market-structure and analysis layer designed to give traders a clear overview of price, volume, trend, and key reference levels without entry signals, sweep clutter, or unnecessary noise.
This indicator combines Vector Candles, anchored VWAP levels, Daily Open, EMAs, and a Rolling POC / Value Area model into one lightweight visual framework.
The goal of Core Map is simple:
to help traders read where price is trading relative to important volume, session, and trend references.
Key Features
Vector Candles
Highlights candles with unusually strong volume-spread force compared to the recent average.
Extreme vectors are separated from regular vectors to make high-effort candles easier to identify.
Custom Candle Coloring
Bullish, bearish, normal, vector, and extreme candles can all be customized individually.
Multi-Timeframe VWAP Anchors
Displays VWAP levels anchored to:
Daily
Weekly
Monthly
4H
Each VWAP is drawn as a clean horizontal reference line with optional labels and projection.
Daily Open
Shows the current daily open as a key intraday reference level.
EMAs
Includes three customizable exponential moving averages:
Fast EMA
Mid EMA
Slow EMA
Useful for trend context and dynamic support/resistance.
Rolling POC
Calculates a rolling Point of Control based on recent volume distribution across price bins.
Value Area High / Value Area Low
Optional VAH and VAL levels help visualize the current rolling value area around the POC.
Small Info Table
A compact table displays current vector status, POC, daily VWAP, and daily open.
How to Use
Use this indicator as a market map, not as a standalone signal system.
Core Map is designed to help answer questions like:
Is price above or below the Daily Open?
Is price reacting around Daily, Weekly, or 4H VWAP?
Where is the current rolling POC?
Is price trading inside or outside the value area?
Are strong vector candles appearing at important reference levels?
Are EMAs aligned with the current market direction?
The strongest use case is combining the visual levels with your own trading model, session context, and confirmation tools.
Notes
This script does not generate buy or sell signals.
It is intended as a clean analytical overlay for discretionary traders.
The Rolling POC is an approximation based on selected lookback bars and price bins. It is designed for visual context and may differ from exchange-native volume profile tools.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice, trading recommendations, or guaranteed results. Always use proper risk management and perform your own analysis before making trading decisions. Indicator
Indicator
SPY VVIX VIX Buy Hold Sell SystemSPY VVIX VIX Buy Hold Sell System is a volatility-regime-based decision tool designed to help traders classify SPY conditions into BUY, HOLD, or SELL / DEFEND.
The system uses VVIX, VIX, SPY trend, and a Range Filter to identify when volatility risk is calm, rising, or dangerous.
BUY SPY:
This signal appears when SPY is in a bullish trend, the Range Filter confirms upward movement, VVIX is calm and falling, and VIX is not rising. This suggests volatility risk is contained and long SPY exposure is favored.
HOLD:
This signal means the SPY trend remains constructive, but the volatility backdrop is not strong enough for aggressive fresh buying. Existing positions may be held, but caution is advised.
SELL / DEFEND:
This signal appears when VVIX rises strongly, VIX confirms risk expansion, VVIX reaches danger or panic levels, or SPY trend weakens. Traders may consider selling SPY, reducing exposure, tightening stops, or defending with hedges such as puts or collars.
VVIX is treated as an early warning indicator because it measures the volatility of volatility. Rising VVIX can warn that the options market is preparing for future volatility expansion before SPY fully reacts.
This script is intended as a decision-support tool, not financial advice. Use with risk management, position sizing, and additional confirmation. Indicator
Koda Macro AnalyticKoda Macro Analytic
Why the 10-Year Real Yield Controls Gold
The 10-year Real Yield (specifically the 10Y TIPS) is widely considered the "North Star" for Gold pricing because of the Opportunity Cost of capital. Unlike stocks or bonds, Gold is a non-yielding asset—it doesn't pay a dividend, and it doesn't pay interest. It is simply a store of value.
1. The Interest Rate Rivalry
When 10-year Real Yields rise, investors can get a "guaranteed" return from the government that outpaces inflation. In this scenario, holding Gold becomes "expensive" because you are giving up that guaranteed yield. This leads big institutions to sell Gold and buy Bonds, driving Gold prices down.
2. The Inflation Hedge
Conversely, when Real Yields fall (or turn negative), the "safety" of bonds disappears. If the government is paying 2% but inflation is at 4%, investors are effectively losing money in "safe" paper. They flee to Gold to protect their purchasing power. Because the 10-year yield reflects the market's long-term outlook on growth and inflation, it is the most reliable lead indicator for where Gold "should" be priced.
3. The Institutional Mirror
In the Koda Macro Analytic, we invert this yield. By flipping the yield upside down, the Blue Line becomes a mirror of institutional demand. When the Blue Line is rising, "Macro Gravity" is pulling Gold higher. When it dives, it indicates that the opportunity cost is rising and Gold will likely face selling pressure.
How to Use the Koda Macro Analytic
Reading the Dashboard
In the top right, the Koda Dashboard gives you an instant "Heat Map" of the market:
• 10Y TIPS: The current Real Yield percentage.
• Gold Spot: The live price of Gold.
• Macro Bias: A logic-based signal.
BULLISH: The Blue Line is trending above its short-term average, suggesting macro momentum is upward.
BEARISH: The Blue Line is losing momentum, suggesting macro headwinds for Gold.
________________________________________
Pro Strategy: The "Koda Gap"
When you see a large gap between the Blue Line and the Yellow Area, it indicates an "oversold" or "overbought" macro condition.
• If the Blue Line is much higher than the Yellow Area, Gold is "cheap" relative to where yields say it should be.
• If the Blue Line is much lower than the Yellow Area, Gold may be "overextended" relative to the macro backdrop.
The "Why": What Makes This Different?
Most traders look at Gold in a vacuum. The Koda Macro Analytic is different because it visualizes the Inverted 10Y TIPS Yield (Real Yields) directly over the Gold price.
• The Inverse Correlation: Historically, Gold and Real Yields move in opposite directions. When Yields fall, Gold usually rises.
• The Lead Signal: By inverting the Yield (the Blue Line), we make them move in the same direction. When the Blue Line is rising, it means the macro environment is "Bullish" for Gold.
• The Institutional Edge: This indicator allows you to see "Divergences"—if Gold is falling but the Blue Line is staying high, the macro trend suggests the dip is a buying opportunity.
________________________________________
Setup Steps: The "Koda Look"
To ensure the indicator displays correctly and looks professional, follow these four steps:
1. Set Your Asset
• Symbol: Always use XAUUSD as your main chart. The script is calibrated to the price range of Gold.
2. Clean the Canvas
• Candles: PulseWire defaults to showing red/blue candles. To get the clean Koda aesthetic, find XAUUSD in the top-left legend and click the "Eye" icon to hide the candles.
This leaves only the Koda lines visible.
3. Check the Scale
• Invert Scale: Ensure "Invert Scale" is un-checked on your main right-hand axis. The script handles all necessary inversions internally. If your scale is inverted, the fill and lines will appear "upside down."
4. Maintain Clarity
• Cleanliness: PulseWire’s scaling can sometimes act up when you zoom in or out rapidly. If the lines ever look "stretched" or the yellow area looks like a flat block, simply right-click the price scale and hit "Reset Price Scale."
Indicator
Indicator
Indicator
TMA Institutional Command Center [PRO]TMA Institutional Command Center
📌 Introduction: The Retail Illusion vs. Institutional Reality
While the majority of retail traders rely on lagging indicators to predict price action, Market Makers and institutional funds monitor the underlying market microstructure: liquidity pools, arbitrage spreads, and open interest dynamics.
The TMA Institutional Command Center is an advanced dashboard designed to exploit the data asymmetry between retail-dominated derivative exchanges (Binance, Bybit, OKX) and the institutionally driven Chicago Mercantile Exchange (CME). This system doesn't print generic "Buy/Sell" arrows on your chart; instead, it provides the ultimate Smart Money Footprint, revealing whether institutional players are paying a massive premium to accumulate or discounting to distribute.
⚙️ CORE MODULES & CHEAT SHEET
1. INSTITUTIONAL PREMIUM & ARBITRAGE (CME vs. Spot)
CME Spread: Measures the absolute premium or discount of regulated CME Bitcoin futures against the spot price (Coinbase/Kraken). When institutions are willing to pay a massive premium over spot, it indicates aggressive, unyielding demand.
CME Basis (Ann): The annualized yield (Carry Trade) of the CME premium based on Days to Expiry (DTE). When this metric exceeds 15%, the system flags an "ARB RISK", signaling an overheated market highly susceptible to a severe correction or arbitrage convergence.
2. SMART MONEY DIVERGENCE (Inst Spread)
The engine's core. It calculates the delta between the institutional bid (CME Spread) and the retail bid (Binance Perp Spread).
SM ACCUM (Smart Money Accumulation): Triggers when retail traders are fearful (pricing perps at a discount) while institutions are aggressively buying at a premium via CME. A classic Wyckoff accumulation footprint.
SM DISTRIB (Smart Money Distribution): Triggers when retail is greedy (paying high perp funding) while institutions are quietly offloading via CME discounts.
3. GLOBAL LIQUIDITY & MARKET MECHANICS
OI Aggregate: Bypasses single-exchange bias by aggregating true global Open Interest across Binance, Bybit, and OKX.
OI State: Analyzes the delta between OI and Price to categorize the immediate market state: LONG BUILD, SHORT COVER, SHORT BUILD, or LONG LIQ (Long Liquidation Cascade).
Bin Dominance: Tracks the percentage of global liquidity concentrated on Binance, helping you anticipate the precise target of Market Maker stop-hunts.
4. FUNDING RATE (Contrarian Engine)
Operates on strict contrarian logic. Flags "OVERHEATED" when the crowd is dangerously over-leveraged long (long squeeze imminent) and "FEAR EXTREME" when retail is heavily shorting the bottom.
🧠 THE SCOREBOARD: MASTER DECISION ENGINE
To eliminate cognitive overload, the algorithm synthesizes over 10 complex metrics into a single, weighted numerical score. It grades institutional footprints, arbitrage risks, and deleveraging events in real-time.
Score Matrix (-9 to +8):
+5 to +8 ➔ STRONG BULL: Aggressive institutional accumulation aligns with retail short-capitulation. Flawless upward setup.
+1 to +4 ➔ WEAK BULL: Cautious institutional bid; structural support forming.
0 ➔ NEUTRAL
-1 to -4 ➔ WEAK BEAR: Institutional bid fading; early signs of distribution.
-5 to -9 ➔ STRONG BEAR: Arb risk peaking, institutions dumping, and a long liquidation cascade is highly probable.
🛡️ ENGINEERING: CRASH-PROOF ARCHITECTURE
To bypass Pine Script's V5 UI engine limitations and request.security timeouts when fetching heavy multi-exchange data, this script is built with a Circuit Breaker / Load Balancer architecture.
If a specific ticker (e.g., CME during weekends or OKX maintenance) is unavailable in your region or trading plan, the system will never crash or black out your screen. It gracefully degrades the specific row to "N/A" or "DISABLED", while the Scoreboard continues calculating flawlessly with the remaining data.
You can manually toggle specific exchange feeds ON/OFF via the "DATA FEED ROUTING" section in the settings to ensure 100% stability.
Execution Guide:
Apply the indicator to your chart (Highly optimized for 1H and 4H timeframes).
Adjust the Table Position and Font Size in the settings to fit your screen resolution.
Manually update the CME DTE (Days to Expiry) in the settings to match the current active CME contract for precise Arbitrage Basis calculations.
Stop trading like a retail participant. Start reading the tape like a Market Maker. Indicator
Indicator
Indicator
Session Pulse [JOAT]Session Pulse
Introduction
Session Pulse is an open-source multi-session gap statistics engine that tracks, categorizes, and accumulates gap data across Asia, London, and New York trading sessions, marks every session boundary transition with labeled vertical lines on the chart, and presents a unified session statistics dashboard. It answers a specific and persistent question that many traders examine manually: how often, in which direction, and by how much does this instrument gap between sessions?
Gap behavior is one of the most systematically consistent patterns across many instruments. Session close-to-open gaps represent a measurable directional displacement — one that either fills (mean reverts) or extends (confirms momentum) in predictable proportions over sufficiently large samples. Session Pulse automates the data collection and visualization for that entire analysis, providing live cumulative statistics on gap frequency, average gap size, maximum gap, and directional bias, refreshed on every bar.
Core Concepts
1. Session Detection
Each of the three sessions (Asia, London, New York) is detected using Pine Script's time() function with a user-configurable session string and timezone. Session transitions are identified by comparing the current bar's session membership to the previous bar's membership. A session start occurs on the first bar where the current bar is inside the session and the previous bar was outside:
inAsia = not na(time(timeframe.period, asiaSess, tzString))
inLondon = not na(time(timeframe.period, londonSess, tzString))
inNY = not na(time(timeframe.period, nySess, tzString))
asiaStart = inAsia and not inAsia
londonStart = inLondon and not inLondon
nyStart = inNY and not inNY
2. Gap Calculation and Categorization
A gap is calculated at each session open as the difference between the current bar's open and the previous bar's close, expressed as a percentage of the previous close. Gaps are categorized as Gap Up (positive gap, open above prior close) or Gap Down (negative gap, open below prior close). A minimum gap percentage threshold filters out negligible noise-level gaps that do not qualify as meaningful session displacements:
gapPct = (open - close ) / close * 100
isGapUp = asiaStart and gapPct > minGap
isGapDown = asiaStart and gapPct < -minGap
3. Session Boundary Visualization
At each session start, a vertical dotted line is drawn extending across the chart, and a labeled arrow points down from the top of the price range with the session name (ASIA, LONDON, NEW YORK). This creates a clear visual demarcation of every session boundary on the chart without requiring manual annotation. The lines and labels are drawn live on the current bar and persist across the chart history:
if showSessLns and londonStart
line.new(bar_index, low * 0.9999, bar_index, high * 1.0001,
color=color.new(#01579B, 55), style=line.style_dotted,
width=2, extend=extend.both)
label.new(bar_index, high, "LONDON",
style=label.style_label_down,
color=color.new(#01579B, 50), textcolor=color.white, size=size.tiny)
4. Cumulative Statistics Accumulation
Statistics are accumulated across the full chart history using running counters and accumulators for each direction. For each session type (Asia, London, NY), the indicator tracks: total gap count by direction, cumulative gap size sum for average computation, and the maximum gap in each direction. These statistics build bar by bar and display the full historical picture at any point in time:
if isGapUp
upCount += 1
upTotal += gapPct
upMax := math.max(upMax, gapPct)
5. Unified Statistics Dashboard
A single unified table presents all gap statistics in a structured layout: Gap Up rows at the top, a separator, Gap Down rows below, a final separator, and a summary row showing total gap count and the percentage of gaps that were up (directional bias). The entire table is positioned at a single user-configurable location on the chart, eliminating split-panel layouts:
// Row 0-1: Gap Up (Count, Avg, Max)
// Row 2: Separator
// Row 3-4: Gap Down (Count, Avg, Max)
// Row 5: Separator
// Row 6: Summary (Total, Up Bias %)
Features
Three-session gap tracking: Asia, London, and New York sessions each independently tracked with configurable session strings
Session boundary vertical lines: Dotted vertical lines with session name labels (ASIA, LONDON, NEW YORK) at every session transition
Gap categorization: Gap Up and Gap Down separated by direction with independent counters, average, and maximum for each
Minimum gap filter: Configurable threshold eliminates negligible gaps below a specified percentage
Directional bias calculation: Summary row shows Up Bias % — what proportion of all detected gaps have been upward
Unified statistics table: Single table with Gap Up, separator, Gap Down, separator, and summary rows at a single configurable position
Table position selector: Top-right, bottom-right, bottom-left, or bottom-center placement
Session boundary line toggle: Session vertical lines and labels can be independently enabled or disabled
Configurable session strings: All three session time windows are fully user-adjustable for different broker timezones
Timezone input: Single timezone string applied consistently to all three session detectors
Alerts: Six alertconditions — Gap Up and Gap Down for each of the three sessions, plus Asia, London, and New York session open alerts
Input Parameters
Session Settings:
Timezone: Timezone string for session detection (default: America/New_York)
Asia Session: Session time string (default: 1800-0000)
London Session: Session time string (default: 0200-0500)
New York Session: Session time string (default: 0930-1600)
Gap Detection:
Min Gap %: Minimum gap size to qualify as a gap event (default: 0.05%)
Enable Gap Tracking toggles per session
Display:
Show Session Lines toggle
Show Stats Table toggle
Table Position: Top Right, Bottom Right, Bottom Left, Bottom Center
Session line colors for Asia, London, and New York
How to Use This Indicator
Step 1: Read the Directional Bias
The summary row of the statistics table shows Up Bias % — the percentage of all gaps that have been upward. An Up Bias above 60% on a large sample indicates this instrument has a persistent tendency to gap up at session opens. This is the first, most actionable piece of information from the table.
Step 2: Compare Average Gap Sizes
The average gap rows for Gap Up and Gap Down show the typical magnitude of each type. If the average Gap Down is significantly larger than the average Gap Up, the downside gaps — when they occur — tend to be more violent even if they are less frequent. This asymmetry has implications for stop sizing around session opens.
Step 3: Use Maximum Gap for Range Planning
The maximum gap rows show the largest gap in each direction recorded on the chart. This establishes the worst-case session displacement for this instrument at the current timeframe — useful for setting session-open risk boundaries.
Step 4: Use Session Boundary Lines for Chart Context
The vertical lines with session name labels divide the chart into session periods. On lower timeframes this makes it immediately clear which session each group of bars belongs to, providing context for patterns that occur predominantly in specific sessions.
Step 5: Monitor for Session Open Alerts
Set the session open alerts to receive notifications at each session transition. This is particularly useful on instruments where specific sessions (London or New York) have consistent volatility expansion patterns at open.
Indicator Limitations
Gap detection measures the open of the first bar inside a session versus the close of the last bar outside the session. On timeframes where session transitions do not align cleanly with bar boundaries, gaps may be slightly misattributed
On instruments that trade continuously (24/7 crypto) with no actual session close, the concept of a gap between sessions is less meaningful — the session boundaries exist but price does not actually stop between them
The minimum gap filter is a flat percentage threshold. Instruments with different typical volatility levels require different minimum gap values to produce meaningful categorization
Statistics accumulate from the beginning of the chart's data history. On very long charts or charts with intraday data going back years, early data may represent a different market regime than the current one, diluting the relevance of cumulative statistics
This indicator tracks and categorizes gaps. It does not predict gap fill probability, gap extension probability, or provide entry/exit signals
Originality Statement
Session Pulse is original in its simultaneous three-session gap tracking system with unified cumulative statistics, directional bias calculation, and session boundary visualization integrated into a single tool. This indicator is published because:
Tracking gap statistics across three named, independently configurable sessions simultaneously — with separate counters, averages, and maximums for each direction per session — in a single unified table is uncommon in published open-source Pine Script
The directional bias percentage (Up Bias %) derived from cumulative historical gap data provides a single, immediately actionable summary statistic that characterizes the instrument's session gap behavior over the entire charted history
The session boundary vertical lines with labeled session name arrows provide a visual calendar overlay that applies the same session detection logic used for gap calculation to the chart itself, creating consistency between the chart elements and the statistical table
The unified single-table layout with section separators — merging Gap Up, Gap Down, and summary into one table at one position — avoids the visual fragmentation of split multi-table layouts
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Session gap statistics reflect historical data and do not guarantee future gaps will occur with the same frequency, size, or direction. The directional bias percentage is a historical observation, not a predictive probability. Session open behavior is subject to news, earnings, and macroeconomic events that historical statistics do not account for. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator.
-Made with passion by jackofalltrades
Indicator
Indicator
Indicator
Pre-Session Volume Delta [UK/US Open]Short Description
Predict early-session market direction using institutional order flow analysis. Tracks buy/sell volume delta in the hours before UK (08:00) or US (09:30) market opens to forecast follow-through bias with confidence scoring.
Full Description
🔍 WHAT IT DOES
This indicator analyzes granular order flow (buy vs. sell volume) during the pre-market window to predict directional bias for the opening session. By measuring institutional positioning before the bell, it helps traders anticipate whether the market is likely to follow through bullish or bearish in the first hour.
⚡ KEY FEATURES
✓ Smart DST-Aware Timing — Automatically handles timezone shifts between London and New York
✓ Order Flow Delta — Calculates net buy/sell imbalance using footprint data
✓ Weighted Probability Engine — Composite confidence score from 3 factors:
• Delta Magnitude (45%) — Size of volume imbalance
• Bar Ratio (35%) — Consistency of directional bars
• Spike Skew (20%) — Quality of institutional block trades
✓ Historical Hit Rate — Tracks last 10 sessions to validate prediction accuracy
✓ Session Comparison — Today's volume vs. historical average
📊 DASHBOARD DISPLAY
• Real-time Buy/Sell volume totals
• Net Delta with directional coloring
• Bias prediction (BULLISH/BEARISH) with confidence level
• Factor score progress bars
• Session win rate statistics
🎯 BEST USED FOR
• Intraday traders planning pre-market bias
• Order flow traders tracking institutional positioning
• Session-open momentum strategies
• Validating directional conviction before key opens
⚙️ INPUTS & CUSTOMIZATION
• Target Session: UK (08:00) or US (09:30) open
• Lookback Hours: 1-12 hours of pre-session analysis (default: 4)
• Probability Weights: Adjust factor importance
• Ticks Per Row: Footprint granularity control
• Value Area %: Volume profile threshold
📈 HOW TO READ
GREEN Net Delta + BULLISH Bias = Expect upside follow-through
RED Net Delta + BEARISH Bias = Expect downside follow-through
Confidence Rating: Low (<50%), Medium (50-70%), High (>70%)
🔔 HIT RATE TRACKING
A "Hit" is recorded when price moves in the predicted direction during the first hour of the session. Monitor the dashboard stats to gauge current reliability.
📝 NOTES
• Requires volume/footprint data (works on forex, futures, indices)
• Best on 15m-1H charts
• Higher confidence = stronger conviction, not guarantee
• Use with other confluence factors (S/R, trend, news)
--
Developed for traders who want to see what "Smart Money" is doing before the bell rings.
📖 User Guide
Getting Started
Add to Chart — Click "Add to Chart" on the indicator
Select Your Session — In settings, choose UK (London) or US (New York) open
Adjust Lookback — Default 4 hours; increase for more data, decrease for recent bias only
Position Dashboard — Toggle between Top-Right or Bottom-Right display
Dashboard Explained
Section What It Shows
Pre-Session Window Start/end times of the analysis period
Volume Metrics Buy Vol / Sell Vol / Net Delta (color-coded)
Bias Prediction Direction + Confidence % + Visual meter
Factor Scores Individual scores (0-100) for each weighting factor
Session History Last 10 predictions with hit/miss tracking
Comparison Today's delta vs. historical average
Understanding the Bias Prediction
Confidence Interpretation Action
Low (<50%) Weak conviction, mixed signals Wait for clarity or reduce size
Medium (50-70%) Moderate directional edge Trade with standard risk
High (>70%) Strong institutional positioning Higher confidence in directional setup
The Three Factors
Delta Magnitude — How large is the net buy/sell imbalance?
Higher = more conviction
Weight: 45% (default)
Bar Ratio — How many bars were bullish vs. bearish?
Measures consistency, not just size
Weight: 35% (default)
Spike Skew — Were the largest volume spikes buying or selling?
Catches institutional block trades
Weight: 20% (default)
Hit Rate Tracking
Bullish Hit Rate — % of bullish predictions that succeeded
Bearish Hit Rate — % of bearish predictions that succeeded
Overall — Combined accuracy across all predictions
A "Hit" = price moved in predicted direction during the first hour of the session
Pro Tips
✓ Combine with price action — Look for the bias to align with your S/R levels or trend direction
✓ Watch for extremes — Very high delta readings often mean early exhaustion; medium-high is the sweet spot
✓ Check both sessions — Compare UK vs. US bias for confluence or divergence
✓ Monitor your hit rate — If bearish predictions are performing better recently, weight those more heavily
✓ Adjust for volatility — In low-vol periods, reduce lookback hours to capture only recent flow
Settings Reference
Setting Default Range Purpose
Target Session US UK/US Which market open to analyze
Lookback Hours 4 1-12 Pre-session analysis window
Delta Weight 45 0-100 Importance of volume magnitude
Ratio Weight 35 0-100 Importance of bar consistency
Skew Weight 35 0-100 Importance of spike quality
Ticks Per Row 50 1-500 Footprint granularity
Value Area % 70 50-95 Volume profile threshold
Dashboard Position Bottom Right Top/Bottom Table placement
Indicator
