Liquidity Divergence OscillatorOverview
Liquidity Divergence Oscillator is a distribution / absorption detector. It estimates liquidity health from Kyle's lambda — the price impact per unit of signed volume — and reads it for divergence against price. When price grinds to a higher high while liquidity health makes a lower high, large participants are often unloading size into strength (a distribution footprint); the mirror — price lower low, health higher low — is absorption. A forward-calibration harness scores whether those price/liquidity divergences have actually followed through on your instrument. It is a flow-structure read, not a signal to trade alone.
Why it is different — not another CVD/volume oscillator
CVD, the A/D line and MFI all measure the direction and amount of flow — who is buying or selling. Kyle's lambda measures something orthogonal: how much price moves per unit of that flow — the depth and fragility of the book. Price pushing to new highs while lambda quietly rises (liquidity thinning) is the classic footprint of size being distributed into strength, and no direction-only flow tool sees it. That impact axis is what makes a liquidity divergence its own, independent read — and it's why this belongs alongside your CVD tools rather than duplicating them. It's also distinct from a liquidity map: this is a standalone divergence oscillator, built to surface the turn, not to chart the shelves.
How the parts work as one tool
Signed volume — sv = volume × sign(price change), a tick-rule aggressor proxy.
Kyle's lambda — Cov(ΔP, sv) / Var(sv) over a rolling window: the regression slope of price change on signed flow, the standard lambda estimator. High = thin/stressed book, low = deep/liquid.
Liquidity health — −z(lambda), smoothed and tanh-squashed to a soft ±100 pane so "liquid vs stressed" reads on a fixed, self-scaling axis (0 = balance, ±50 ≈ a 1.6σ stretch).
Divergence — regular and hidden, from confirmed price pivots against health at those pivots.
Calibration harness — each regular divergence is queued and resolved a fixed horizon later against the unconditional base rate, reporting Hit / Edge / sample and a Wilson-gated star. A divergence class that never beats the base rate here is adding no information — and the dashboard shows that instead of assuming it.
How to use it
Read the oscillator's side and slope — above 0 is liquidity firming, below 0 is liquidity stressed. Treat a divergence mark as context (a distribution or absorption warning), never a standalone entry. Before you weight it, check the dashboard: if the Bull/Bear Edge isn't clearly positive with an adequate sample and a star, that class isn't carrying an edge on this instrument. Signals are marked in the pane and, optionally, on the price chart. Combine with your own levels, trend and risk rules — it describes behaviour; it decides nothing.
Universal & non-repainting
High/Low/Price are inputs, so the divergence engine runs on any series; the lambda estimate needs real volume, so use the futures (a cash index reads "no volume"). Pivots confirm a fixed number of bars after the fact and don't move once printed, and the calibration harness logs and resolves only on confirmed bars, so its statistics never repaint intrabar. The live oscillator updates each bar like any oscillator. Edge figures are in-sample, forward-measured at a fixed horizon, with no costs — a study aid, not a backtest.
Originality
Kyle's lambda and price/oscillator divergence are public; the Wilson interval is Edwin B. Wilson's. What's original is the specific construction: the detrend → z-score → tanh-squash liquidity-health oscillator built off the lambda estimate, the combined regular+hidden divergence engine keyed to it, and the forward-calibration harness that scores each divergence class against its base rate. Clean-room implementation; no third-party Pine code reused.
Concept credits
Price impact / lambda — Albert S. Kyle (1985)
Tick-rule aggressor signing — after the classic trade-sign literature (Lee & Ready)
Wilson score confidence interval — Edwin B. Wilson
Price/oscillator divergence — standard public technical-analysis technique
Disclaimer
Educational / informational only. Not financial advice, not a signal, not a recommendation. The lambda estimate uses tick-rule signed volume — a proxy, not the true tape — so liquidity health is an inference, not an order-book reading. Edge figures are in-sample, forward-measured with no costs. Past behaviour does not assure future behaviour. Markets carry risk. Do your own research and paper-trade before risking capital; you alone are responsible for your decisions.
Indicator
Burst Size Flow Divergence Large vs Small CVDOverview
A single cumulative-delta line tells you net buying or selling, but hides who is doing the pushing. Burst-Size Flow Divergence splits the flow inside each bar by the size of each volume burst — small / medium / large sub-intervals — and runs a separate signed delta on each tier. The signal is the divergence between the large-burst delta and the small-burst delta: concentrated bursts leaning one way while trickle flow leans the other. It is a flow-structure read, not a signal to trade alone.
What this is — and is NOT (read this before using)
This measures activity-burst size, not per-trade size. Pine cannot see individual trades — it sees a bar's volume and, via lower-timeframe requests, the volume of each sub-interval within the bar. "Large" here means a sub-interval that printed a lot of volume relative to normal — not a large single trade, and not "institutional." Institutions deliberately slice big orders into many small child-orders, so burst size is a proxy, not proof of who is behind the flow. The classification is honest about this, and the built-in harness is there precisely to test whether the divergence carries any information rather than to assert that it does.
Why these components are ONE tool (mashup justification)
Each stage exists because the previous one is ambiguous on its own:
Intrabar bucketing. Each lower-timeframe sub-bar is classed small/medium/large by its volume against an adaptive average, so "large" means large for this symbol and session, not a fixed lot count. A fixed threshold would misclassify on every instrument and every volatility regime.
Per-tier directional imbalance. Each tier gets its own signed delta (up sub-bar → +volume, down → −volume), expressed as net ÷ gross in — what fraction of that tier was net buying versus selling. Normalising this way lets the tiers' directions be compared apples-to-apples even though the large tier moves far less total volume than the small one.
The divergence. The large-minus-small spread is the object. Three separate delta lines would just be clutter to eyeball; the disagreement between the concentrated and the trickle flow is the actual read, so the tool computes it directly.
The calibration harness. "Concentrated bursts are informed" is a hypothesis, not a law — so when the spread is strong, the harness checks forward whether price actually followed the large tier more than the unconditional base rate, and reports Hit / Base / Edge on confirmed bars. That's what turns the divergence from a story into something you can verify on your instrument.
How it works
For each chart bar the finest available sub-bars are requested. Each is signed by close-versus-open (a tick-rule aggressor proxy) and bucketed by volume against the adaptive average. Per-tier signed volume becomes a net÷gross imbalance in , the large-minus-small spread is smoothed into the oscillator, and a strong gated spread is the divergence signal.
How to use it
Read the histogram (the large-minus-small spread): green means large bursts are accumulating while small flow lags or sells; red means large bursts are distributing. The bold line is the large-tier imbalance, the faint line the small tier. A gated turn in the spread suggests concentrated flow is leading, and is marked in the pane and — optionally — on the price chart. Always check the Coverage row (how much real sub-bar resolution the current bar received) and the Edge row (whether the divergence has actually led on this instrument). It is never a standalone trigger.
Plan-adaptive & data note
Sub-bar precision auto-selects the finest your plan serves (seconds on Premium+, else 1-minute). Lower-timeframe data exists only for recent bars, so older bars fall back to whole-bar flow and the coverage read shows it. The tool needs an instrument with real volume — a cash index reports none, so use the futures. The adaptive average and the calibration harness advance only on confirmed bars, so they never drift or inflate intrabar. Edge is in-sample, no costs — a study aid, not a backtest.
Originality
The parts are public: cumulative volume delta, the close-vs-open (tick-rule) aggressor proxy, and the general idea of size-partitioned / flow-toxicity order flow. What's assembled here is the specific construction — the adaptive intrabar size-tiering, the net÷gross per-tier imbalance that makes tiers of very different volume directly comparable, the large-minus-small divergence as the headline object, and the forward-calibration harness that scores it against the base rate. This is a clean-room implementation; no third-party Pine code is reused.
Concept credits
Cumulative Volume Delta — standard order-flow technique.
Close-vs-open (tick-rule) aggressor classification — after the classic trade-sign literature (Lee & Ready).
Size-partitioned / flow-toxicity order flow (VPIN) — Easley, López de Prado & O'Hara.
Disclaimer
Research and educational tool only. Not financial advice, no recommendation, no guarantee of results. Burst size is not trade size and does not identify institutions versus retail; the up/down sign is a close-vs-open proxy for the aggressor, not the true tape. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability. Indicator
Xcelerate - Order Flow PRO - Delta and ImbalanceORDER FLOW PRO - Volume Delta & Institutional Levels
This indicator brings institutional Order Flow analysis to PulseWire,
inspired by professional trading methodologies used by banks, hedge funds,
and institutional traders.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 WHAT IS ORDER FLOW?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Order Flow analysis reveals the real buying and selling pressure behind
price movements. Instead of reacting to price with lagging indicators
(RSI, MACD), you see WHO is in control of the market RIGHT NOW — before
the move happens.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 KEY FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 VOLUME DELTA HISTOGRAM
- Green bars = Aggressive buying pressure (bullish)
- Red bars = Aggressive selling pressure (bearish)
- Shows who is in control on every single bar
- Smoothed with a configurable Moving Average
📉 CUMULATIVE DELTA
- Running total of buying vs selling pressure
- Rising line = Bulls in control overall
- Falling line = Bears in control overall
- Divergence from price = powerful reversal warning
⚡ STACKED IMBALANCES DETECTION
- Automatically detects 3+ consecutive imbalance bars
- Green signal (▲) = Stacked Buy Imbalance → potential Support
- Red signal (▼) = Stacked Sell Imbalance → potential Resistance
- One of the highest-probability setups in Order Flow trading
⚠️ PRICE-DELTA DIVERGENCE
- Bearish: Price making higher high, Delta making lower high
- Bullish: Price making lower low, Delta making higher low
- Historically one of the most reliable reversal signals
- Automatically marked with warning symbols on chart
📊 LIVE DASHBOARD
- Real-time overview of all key metrics
- Current Delta value
- Cumulative Delta value
- Volume status (Normal / 🔥 HIGH)
- Market Pressure (Buying / Selling / Neutral)
- Imbalance status
- Overall SIGNAL (Bullish / Bearish / Neutral)
🔔 6 BUILT-IN ALERTS
- Stacked Buy Imbalance detected
- Stacked Sell Imbalance detected
- Bearish Divergence detected
- Bullish Divergence detected
- Extreme Buying Pressure
- Extreme Selling Pressure
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 HOW TO USE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. VOLUME DELTA — Monitor the histogram:
• Consistent green bars = bullish bias
• Consistent red bars = bearish bias
• Watch for sudden spikes = institutional activity
2. CUMULATIVE DELTA — Watch the line:
• Trending up while price trends up = strong trend
• Diverging from price = potential reversal
3. STACKED IMBALANCES — Best trade setups:
• Mark the zone when signal appears
• Wait for price to pull back to that zone
• Enter in the direction of the original imbalance
• Place SL just beyond the zone
4. DIVERGENCE — Reversal signals:
• Look for divergence warnings near S/R levels
• Strongest when combined with high volume
• Confirm with a price action candle
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ RECOMMENDED SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Timeframes: 5m, 15m, 30m (best for day trading)
- Delta MA Period: 20 (default) — increase for smoother signal
- Imbalance Threshold: 0.7 (default) — lower = more signals
- Combine with: Volume Profile, Support/Resistance, Price Action
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 BEST INSTRUMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Forex pairs (EUR/USD, GBP/USD, etc.)
✅ Crypto (BTC/USD, ETH/USD, SOL/USD)
✅ Indices (SPX, NAS100, DAX)
✅ Commodities (Gold, Oil)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ IMPORTANT NOTES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- PulseWire does not provide true Bid/Ask data for most instruments
- Volume Delta is estimated based on bar structure (close vs open)
- For true institutional Order Flow, use NinjaTrader 8 with Futures data
- This indicator works best as a CONFLUENCE tool — always combine
with proper price action analysis and risk management
- Past signals do not guarantee future results
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 PRO TIPS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
→ Trade Stacked Imbalances at key S/R levels for highest probability
→ Use Cumulative Delta to confirm trend direction before entering
→ Pay attention to HIGH volume bars — institutions are active
→ Always wait for the FIRST touch of a level (don't re-trade same zone)
→ Use a minimum 2:1 Risk:Reward on every trade
→ Set alerts so you never miss a signal
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📚 METHODOLOGY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This indicator is based on institutional Order Flow trading principles,
including concepts from professional futures and forex trading:
- Volume Delta analysis (Aggressive Buyers vs Sellers)
- Imbalance detection (one-sided market domination)
- Cumulative Delta divergence (weakening momentum)
- High Volume Node identification (institutional activity zones)
These concepts are used by professional traders on platforms like
NinjaTrader and Sierra Chart with real Bid/Ask Futures data. This
indicator adapts those principles for PulseWire using estimated
volume data.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ RISK DISCLAIMER
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This indicator is for educational purposes only. Trading financial
markets involves substantial risk of loss. Never risk more than you
can afford to lose. Always use proper risk management. Past performance
is not indicative of future results.
If you find this indicator useful, please leave a comment or a ⭐ —
it helps others discover it and motivates further development!
Good luck and trade safe! 🚀
Feb 17
Release Notes
🚀 ORDER FLOW PRO - Volume Delta & Institutional Levels
This indicator brings institutional Order Flow analysis to PulseWire,
inspired by professional trading methodologies used by banks, hedge funds,
and institutional traders.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 WHAT IS ORDER FLOW?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Order Flow analysis reveals the real buying and selling pressure behind
price movements. Instead of reacting to price with lagging indicators
(RSI, MACD), you see WHO is in control of the market RIGHT NOW — before
the move happens.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 KEY FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 VOLUME DELTA HISTOGRAM
- Green bars = Aggressive buying pressure (bullish)
- Red bars = Aggressive selling pressure (bearish)
- Shows who is in control on every single bar
- Smoothed with a configurable Moving Average
📉 CUMULATIVE DELTA
- Running total of buying vs selling pressure
- Rising line = Bulls in control overall
- Falling line = Bears in control overall
- Divergence from price = powerful reversal warning
⚡ STACKED IMBALANCES DETECTION
- Automatically detects 3+ consecutive imbalance bars
- Green signal (▲) = Stacked Buy Imbalance → potential Support
- Red signal (▼) = Stacked Sell Imbalance → potential Resistance
- One of the highest-probability setups in Order Flow trading
⚠️ PRICE-DELTA DIVERGENCE
- Bearish: Price making higher high, Delta making lower high
- Bullish: Price making lower low, Delta making higher low
- Historically one of the most reliable reversal signals
- Automatically marked with warning symbols on chart
📊 LIVE DASHBOARD
- Real-time overview of all key metrics
- Current Delta value
- Cumulative Delta value
- Volume status (Normal / 🔥 HIGH)
- Market Pressure (Buying / Selling / Neutral)
- Imbalance status
- Overall SIGNAL (Bullish / Bearish / Neutral)
🔔 6 BUILT-IN ALERTS
- Stacked Buy Imbalance detected
- Stacked Sell Imbalance detected
- Bearish Divergence detected
- Bullish Divergence detected
- Extreme Buying Pressure
- Extreme Selling Pressure
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 HOW TO USE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. VOLUME DELTA — Monitor the histogram:
• Consistent green bars = bullish bias
• Consistent red bars = bearish bias
• Watch for sudden spikes = institutional activity
2. CUMULATIVE DELTA — Watch the line:
• Trending up while price trends up = strong trend
• Diverging from price = potential reversal
3. STACKED IMBALANCES — Best trade setups:
• Mark the zone when signal appears
• Wait for price to pull back to that zone
• Enter in the direction of the original imbalance
• Place SL just beyond the zone
4. DIVERGENCE — Reversal signals:
• Look for divergence warnings near S/R levels
• Strongest when combined with high volume
• Confirm with a price action candle
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ RECOMMENDED SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Timeframes: 5m, 15m, 30m (best for day trading)
- Delta MA Period: 20 (default) — increase for smoother signal
- Imbalance Threshold: 0.7 (default) — lower = more signals
- Combine with: Volume Profile, Support/Resistance, Price Action
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 BEST INSTRUMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Forex pairs (EUR/USD, GBP/USD, etc.)
✅ Crypto (BTC/USD, ETH/USD, SOL/USD)
✅ Indices (SPX, NAS100, DAX)
✅ Commodities (Gold, Oil)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ IMPORTANT NOTES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- PulseWire does not provide true Bid/Ask data for most instruments
- Volume Delta is estimated based on bar structure (close vs open)
- For true institutional Order Flow, use NinjaTrader 8 with Futures data
- This indicator works best as a CONFLUENCE tool — always combine
with proper price action analysis and risk management
- Past signals do not guarantee future results
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 PRO TIPS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
→ Trade Stacked Imbalances at key S/R levels for highest probability
→ Use Cumulative Delta to confirm trend direction before entering
→ Pay attention to HIGH volume bars — institutions are active
→ Always wait for the FIRST touch of a level (don't re-trade same zone)
→ Use a minimum 2:1 Risk:Reward on every trade
→ Set alerts so you never miss a signal
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📚 METHODOLOGY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This indicator is based on institutional Order Flow trading principles,
including concepts from professional futures and forex trading:
- Volume Delta analysis (Aggressive Buyers vs Sellers)
- Imbalance detection (one-sided market domination)
- Cumulative Delta divergence (weakening momentum)
- High Volume Node identification (institutional activity zones)
These concepts are used by professional traders on platforms like
NinjaTrader and Sierra Chart with real Bid/Ask Futures data. This
indicator adapts those principles for PulseWire using estimated
volume data.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ RISK DISCLAIMER
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This indicator is for educational purposes only. Trading financial
markets involves substantial risk of loss. Never risk more than you
can afford to lose. Always use proper risk management. Past performance
is not indicative of future results.
If you find this indicator useful, please leave a comment or a ⭐ —
it helps others discover it and motivates further development!
Good luck and trade safe! 🚀
Feb 17
Release Notes
🚀 ORDER FLOW PRO - Volume Delta & Institutional Levels
This indicator brings institutional Order Flow analysis to PulseWire,
inspired by professional trading methodologies used by banks, hedge funds,
and institutional traders.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 WHAT IS ORDER FLOW?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Order Flow analysis reveals the real buying and selling pressure behind
price movements. Instead of reacting to price with lagging indicators
(RSI, MACD), you see WHO is in control of the market RIGHT NOW — before
the move happens.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔥 KEY FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 VOLUME DELTA HISTOGRAM
- Green bars = Aggressive buying pressure (bullish)
- Red bars = Aggressive selling pressure (bearish)
- Shows who is in control on every single bar
- Smoothed with a configurable Moving Average
📉 CUMULATIVE DELTA
- Running total of buying vs selling pressure
- Rising line = Bulls in control overall
- Falling line = Bears in control overall
- Divergence from price = powerful reversal warning
⚡ STACKED IMBALANCES DETECTION
- Automatically detects 3+ consecutive imbalance bars
- Green signal (▲) = Stacked Buy Imbalance → potential Support
- Red signal (▼) = Stacked Sell Imbalance → potential Resistance
- One of the highest-probability setups in Order Flow trading
⚠️ PRICE-DELTA DIVERGENCE
- Bearish: Price making higher high, Delta making lower high
- Bullish: Price making lower low, Delta making higher low
- Historically one of the most reliable reversal signals
- Automatically marked with warning symbols on chart
📊 LIVE DASHBOARD
- Real-time overview of all key metrics
- Current Delta value
- Cumulative Delta value
- Volume status (Normal / 🔥 HIGH)
- Market Pressure (Buying / Selling / Neutral)
- Imbalance status
- Overall SIGNAL (Bullish / Bearish / Neutral)
🔔 6 BUILT-IN ALERTS
- Stacked Buy Imbalance detected
- Stacked Sell Imbalance detected
- Bearish Divergence detected
- Bullish Divergence detected
- Extreme Buying Pressure
- Extreme Selling Pressure
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🎯 HOW TO USE
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1. VOLUME DELTA — Monitor the histogram:
• Consistent green bars = bullish bias
• Consistent red bars = bearish bias
• Watch for sudden spikes = institutional activity
2. CUMULATIVE DELTA — Watch the line:
• Trending up while price trends up = strong trend
• Diverging from price = potential reversal
3. STACKED IMBALANCES — Best trade setups:
• Mark the zone when signal appears
• Wait for price to pull back to that zone
• Enter in the direction of the original imbalance
• Place SL just beyond the zone
4. DIVERGENCE — Reversal signals:
• Look for divergence warnings near S/R levels
• Strongest when combined with high volume
• Confirm with a price action candle
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⚙️ RECOMMENDED SETTINGS
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- Timeframes: 5m, 15m, 30m (best for day trading)
- Delta MA Period: 20 (default) — increase for smoother signal
- Imbalance Threshold: 0.7 (default) — lower = more signals
- Combine with: Volume Profile, Support/Resistance, Price Action
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📌 BEST INSTRUMENTS
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✅ Forex pairs (EUR/USD, GBP/USD, etc.)
✅ Crypto (BTC/USD, ETH/USD, SOL/USD)
✅ Indices (SPX, NAS100, DAX)
✅ Commodities (Gold, Oil)
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⚠️ IMPORTANT NOTES
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- PulseWire does not provide true Bid/Ask data for most instruments
- Volume Delta is estimated based on bar structure (close vs open)
- For true institutional Order Flow, use NinjaTrader 8 with Futures data
- This indicator works best as a CONFLUENCE tool — always combine
with proper price action analysis and risk management
- Past signals do not guarantee future results
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💡 PRO TIPS
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→ Trade Stacked Imbalances at key S/R levels for highest probability
→ Use Cumulative Delta to confirm trend direction before entering
→ Pay attention to HIGH volume bars — institutions are active
→ Always wait for the FIRST touch of a level (don't re-trade same zone)
→ Use a minimum 2:1 Risk:Reward on every trade
→ Set alerts so you never miss a signal
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📚 METHODOLOGY
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This indicator is based on institutional Order Flow trading principles,
including concepts from professional futures and forex trading:
- Volume Delta analysis (Aggressive Buyers vs Sellers)
- Imbalance detection (one-sided market domination)
- Cumulative Delta divergence (weakening momentum)
- High Volume Node identification (institutional activity zones)
These concepts are used by professional traders on platforms like
NinjaTrader and Sierra Chart with real Bid/Ask Futures data. This
indicator adapts those principles for PulseWire using estimated
volume data.
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⚠️ RISK DISCLAIMER
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This indicator is for educational purposes only. Trading financial
markets involves substantial risk of loss. Never risk more than you
can afford to lose. Always use proper risk management. Past performance
is not indicative of future results.
If you find this indicator useful, please leave a comment or a ⭐ —
it helps others discover it and motivates further development!
Good luck and trade safe! 🚀
Mar 9
Release Notes
ORDER FLOW PRO — Volume Delta & Imbalance Analysis | Xcelerate Trade
Overview
Order Flow Pro is a volume-pressure analysis framework designed to visualize directional activity within individual bars and across broader market swings.
It examines the relationship between price expansion and underlying volume-derived pressure, helping traders assess whether movement is supported by participation or developing under weakening internal conditions.
The objective is structural clarity, not prediction.
Methodology
PulseWire does not provide true bid/ask transaction data for most instruments. Delta is therefore estimated using volume and bar-structure logic.
The script applies rule-based calculations to:
• Estimate per-bar directional delta
• Aggregate cumulative delta over time
• Detect sustained imbalance conditions using configurable thresholds
• Compare structural price swings with cumulative delta swings
• Classify pressure state using internally defined conditions
All outputs are derived directly from available market data.
Key Features
• Volume Delta Histogram
Displays estimated buying and selling pressure per bar to evaluate participation intensity.
• Cumulative Delta
Tracks whether pressure is expanding, stabilizing, or diverging relative to price movement.
• Stacked Imbalance Detection
Identifies clusters of consecutive directional pressure exceeding a defined threshold.
• Price–Delta Divergence
Highlights structural disagreement between price movement and cumulative pressure.
• Integrated Dashboard
Provides real-time visibility of delta state, cumulative bias, imbalance status, and pressure classification.
• Configurable Alerts
Available for imbalance clusters and divergence conditions.
Practical Application
Order Flow Pro functions as a contextual layer within a structured analytical process.
It may assist in:
• Evaluating whether breakouts are supported by expanding participation
• Assessing the internal strength of ongoing trends
• Identifying areas where directional pressure has concentrated
• Observing potential momentum compression when price extends without corresponding delta expansion
Outputs should be interpreted alongside market structure, volatility conditions, and independent risk management rules.
Recommended Settings
Common intraday configurations:
• Timeframes: 5m, 15m, 30m
• Delta MA Period: 20 (adjustable for smoothing preference)
• Imbalance Threshold: configurable based on instrument volatility
Settings may be adapted to instrument characteristics and trading style.
Applicable Markets
Designed for use on:
• Major Forex pairs
• Crypto pairs
• Equity indices
• Commodities
Behavior varies depending on liquidity profile and volume structure.
Limitations
• Delta values are estimated due to platform data constraints.
• Results may differ from platforms using exchange-level bid/ask feeds.
• Imbalance and divergence represent structural conditions, not forecasts or trade instructions.
• Market regime and timeframe materially influence interpretation.
Developed by Xcelerate Trade — professional-grade tools designed for disciplined market structure workflows. Indicator
Order Flow Criticality Hawkes Branching RatioOrder-Flow Criticality — Hawkes Branching Ratio
What it is
Most order-flow tools ask how strong flow is. This one asks how fragile it is — how close the tape is to a self-sustaining cascade, where each burst of aggressive flow tends to trigger the next. That property is the branching ratio (n) of a self-exciting (Hawkes) process: n ≈ 0 means bursts are independent and the tape is stable (exogenous); n → 1 means flow is nearly self-sustaining — endogenous, reflexive, fragile. The output is a state read that says size down as criticality rises. It never issues a buy or sell.
How it works (and why this method)
Event — a bar whose absolute signed volume-delta is unusually large for its time of day. Delta is built from finest-available lower-timeframe signed volume, with an automatic bar-shape fallback.
Branching ratio — fitting a Hawkes kernel by maximum likelihood is heavy and fragile, so this uses the model-independent moment estimator of Hardiman & Bouchaud (2014): for a self-exciting process the variance-to-mean ratio of the event count (the Fano factor) grows as 1/(1−n)², so n ≈ 1 − √(mean_count / var_count) over recent non-overlapping counting bins. Only a mean and a variance of counts are needed. A random (Poisson) tape gives n ≈ 0; a clustered tape gives n → 1.
De-seasonalization (the key honesty step) — this estimator is known to be biased upward by intraday seasonality: opens and closes have naturally higher flow, which can masquerade as criticality (a Poisson process with a changing rate can show a spurious n ≈ 1). So an event is judged against the typical flow for its hour, removing the daily rhythm so what remains is genuine self-excitation.
Output — a background tint that intensifies as n rises, ● event marks, a SIZE-DOWN tag on crossing the critical zone, and a dashboard stating STABLE / ELEVATED / CRITICAL with a suggested size factor (1 − n).
Everything advances only on confirmed bars; the lower-timeframe delta is read on closed bars. No hindsight.
The stability & multi-timeframe layer
States are dwell-filtered (standard anti-chattering): a new STABLE/ELEVATED/CRITICAL is announced only after surviving a set number of confirmed bars. STABILITY shows how settled the read is; PENDING shows a forming state with a countdown. Cost: a few bars of lag — stated and adjustable.
The criticality lane — a thin strip at the pane bottom — gives the glance-read: green = stable, amber = elevated, red = critical. Risk colors (safe/danger), never direction.
The HTF STACK row shows the raw criticality state on three higher timeframes derived as multiples of the chart (defaults 3×, 5×, 15×). Honesty notes: the HTF slots use the bar-shape delta proxy (lower-timeframe data cannot be nested inside a higher-timeframe request) and the global flow baseline instead of the hourly profile (an HTF bar spans multiple hours, so per-hour bucketing is ill-defined there). ✓ = every timeframe agrees; ⚠ = a higher timeframe is CRITICAL while the chart is not — fragility above your resolution.
Seeing the cascades
Every flow burst prints a dot below its own bar: blue = isolated (arrived independently), warm = chained (within a few bars of the previous burst — likely triggered by it). This is the branching ratio made visible: as the tape approaches critical you can watch chains lengthen at the price action itself.
The EVENTS row shows the recent % chained — the plain-language twin of n — and the branching-ratio row carries a fill gauge so the number reads like a fuel gauge.
How to use it
Add to any liquid symbol/timeframe; defaults suit index futures — change the volume source and lower-timeframe for other markets.
Read the dashboard headline: STABLE / ELEVATED / CRITICAL. As it rises toward CRITICAL, the branching ratio is telling you the tape is increasingly self-referential and prone to cascades.
Use it as a risk overlay on top of your directional tools: when criticality is high, cut size, widen stops, or stand aside — regardless of which way you lean. When it's low and stable, normal sizing is more justified.
Keep de-seasonalization on (default). Turning it off will make opens and closes look critical when they may just be busy.
What makes it original
Retail order-flow tools measure intensity and call it strength. This measures endogeneity — the degree to which flow is feeding on itself — using a published market-reflexivity statistic, computed by a moment estimator that is feasible on a chart, and de-seasonalized so it isn't fooled by the daily rhythm (the exact bias the literature warns about). Reframing order flow from "how strong" to "how fragile," as an explicit size-down gauge, is the contribution.
Concept credits
Self-exciting point processes — A. G. Hawkes (1971). Reflexivity / branching ratio as market endogeneity and flash-crash analysis — V. Filimonov & D. Sornette. Moment (mean/variance) branching-ratio estimator — S. Hardiman & J.-P. Bouchaud (2014). Hawkes models of order flow — E. Bacry, J.-F. Muzy and co-authors. Implementation and charting design are the author's own.
Important disclaimer
Research and education only. Not financial advice, not a signal service, not a guarantee of future results. The branching ratio is a descriptive statistic and a proxy — not a certainty and not a direction. High criticality does not predict which way price will move, only that flow is fragile. Validate independently and manage your own risk. Indicator
Levy Area Flow Sequencer Flow Price Lead LagLévy-Area Flow Sequencer — Flow/Price Lead-Lag
What it is
Correlation says flow and price move together; it cannot say which moves first. But the sequencing is the interesting part: when aggressive flow precedes price, moves are being built by participation before they print; when price precedes flow, price is running ahead and flow is chasing — squeeze / stop-run character. Traced together, the two series form a path in the plane, and the signed (Lévy) area that path encloses measures its rotation — a scale-free, lag-free read of lead–lag, including non-linear lead–lag that fixed-lag cross-correlation misses. This is the most experimental tool of this suite, and it is framed that way.
The mathematics (signature lead–lag metric)
The metric is the antisymmetric part of the second-level path signature of the pair (flow, price): the window sum of (X·dy − Y·dx), with both increment series normalized to unit scale so the area is dimensionless. Per the literature's interpretation, the metric is positive and grows when moves in the first series are followed by same-direction moves in the second. The first series here is cumulative order-flow delta (from lower-timeframe signed volume, with bar-shape fallback) and the second is price, so AREA > 0 → FLOW LEADS and AREA < 0 → PRICE LEADS.
The honesty steps
Significance gate — a raw signed area is noisy, so the reading is ranked against its own recent history, and a lead is declared only when rotation is unusually strong for this symbol/timeframe. Otherwise the state is BALANCED: no claim.
Sequencing ≠ causation — the literature is explicit that a signed area alone cannot establish causal direction. This tool reports a temporal-ordering tendency of past bars; treat it as tape character.
Known limitation, stated — persistent inverse co-movement between flow and price can contaminate the sign. On liquid futures they co-move and the read behaves; on instruments where they reliably anti-correlate, don't trust it.
The stability & multi-timeframe layer
States are dwell-filtered (standard anti-chattering): FLOW LEADS / PRICE LEADS / BALANCED is announced only after surviving a set number of confirmed bars, so the read doesn't flip-flop. STABILITY shows how settled it is; PENDING shows a forming state with a countdown. Cost: a few bars of lag — stated and adjustable.
The lead lane — a thin strip at the pane bottom — gives the glance-read: green = flow leads (moves better backed), amber = price leads (flow chasing, be sceptical), gray = balanced. Trust/caution colors, never direction.
The HTF STACK row shows the raw lead state on three higher timeframes derived as multiples of the chart (defaults 3×, 5×, 15×). Honesty note: lower-timeframe data cannot be requested inside a higher-timeframe request, so the HTF slots use the bar-shape delta proxy — a stated approximation. ✓ = all timeframes agree on the same significant lead; ⚠ = a higher timeframe shows the opposite lead.
How to use it
Add to a liquid intraday chart. Read the dashboard: FLOW LEADS → breakouts/drives carry more weight (participation came first); PRICE LEADS → be sceptical of extensions (flow is chasing); BALANCED → the tool makes no claim.
Tags print when the lead flips while significant; alerts fire on flips.
Use it as context alongside order-flow and structure tools — never as a standalone signal.
What makes it original
Path-signature methods are frontier quantitative machinery (rough-path theory) that has reached systematic trading but, to the author's knowledge, not chart platforms. Applying the signature lead-lag metric to the flow-vs-price pair — the pair an order-flow trader actually cares about — with an honest significance gate and stated limitations, is the contribution.
Concept credits
Signed area of stochastic paths — P. Lévy. Rough-path / signature theory — T. Lyons; Levin, Lyons & Ni (2016). Signature lead-lag metric and interpretation — I. Chevyrev & A. Kormilitzin (2016). Market applications — Bennett, Cucuringu & Reinert (2022); Cartea, Cucuringu & Jin (2023). Implementation and charting design are the author's own.
Important disclaimer
Research and education only. Not financial advice, not a signal service, not a guarantee of future results. The area measures a sequencing tendency in past data; it is not causal proof and not a prediction. Validate independently and manage your own risk. Indicator
Adaptive Market Suite [Jayadev Rana]Overview
Adaptive Market Suite is a four-module analysis toolkit that draws on the price chart. Each module is independent: turn any of them on or off, and each has its own settings group. It shows context, not buy or sell arrows. The four modules are an adaptive trend, volatility bands, market structure with order blocks and fair-value gaps, and an order-flow oscillator. You read the confluence and make your own decisions.
Module 1 - Adaptive Trend and Regime
A moving average whose smoothing adapts to Kaufman's efficiency ratio: the net distance price travelled divided by the total path it took to get there. In clean trends the ratio is high and the average speeds up to hug price; in chop it is low and the average slows and flattens. The line is coloured by its slope, and the info panel reports whether the market is trending or ranging from the same ratio.
Module 2 - Expected-Move Bands
Volatility bands around the adaptive basis. Instead of a fixed multiple of range, the band width scales with where the current Average True Range sits in its own recent history (its percentile), so the bands contract in quiet conditions and expand when volatility rises. A nearer pair and a wider pair mark two envelopes.
Module 3 - Liquidity and Structure
Market structure from confirmed swing pivots, labelled as Break of Structure and Change of Character. Because the pivots are symmetric (confirmed on both sides), they are fixed before they are drawn and do not repaint afterward. On a structure break the tool marks the order block behind the move (the last opposite-direction candle before the push) and it tracks fair-value gaps, which are three-bar imbalances. Each zone follows a mitigation lifecycle: it is extended while it is live and greyed once price trades through it, and only the most recent zones per type are kept so the chart stays readable.
Module 4 - Order-Flow Oscillator
A normalised buy and sell pressure read in the indicator pane. For each bar it combines where price closed within the bar's range with how large that bar's volume was relative to its recent average. Sustained closes near the highs on strong volume push the oscillator positive; the mirror pushes it negative. An absorption marker highlights bars with heavy volume but a small range, where effort is not producing movement.
Info panel
An optional compact table summarises the current trend direction, the regime read, the volatility percentile, and the current order-flow side. It is context only.
Inputs
Inputs are grouped per module: General (ATR length); Module 1 (efficiency length, fast and slow smoothing, regime threshold, colours); Module 2 (volatility lookback, base and extra width, colour); Module 3 (swing length, order-block lookback, max zones per type, toggles for structure, order blocks and fair-value gaps, colours); Module 4 (pressure smoothing, absorption threshold, colours); plus an info-panel toggle. Every module has a single enable switch.
Alerts
Bullish and bearish structure break, and the order-flow oscillator crossing above or below zero.
How to use it
Treat it as a confluence map rather than a signal. For example, price reaching an order block near the lower band, with the order-flow oscillator turning up while the adaptive trend is still rising, is a stronger context than any one of those alone. Turn off the modules you do not need: if you only trade structure, disable the other three groups for a clean map. It is intended for liquid instruments and works across timeframes; the demonstration chart is Gold on the 1-hour timeframe.
Limitations
The structure module confirms swings with bars on both sides, so its labels and order blocks appear a fixed number of bars after the pivot forms. That delay is the trade-off that keeps them from repainting. The bands, the oscillator and the info panel read the current bar and update as it forms, like any live calculation. This is an analysis tool, not a strategy: it places no orders, makes no performance claim, and there is no win rate because it does not promise trades.
Disclaimer
For education and research only. This is not financial advice, and past chart behaviour does not predict future results. Test any approach yourself and manage your own risk. Indicator
Fragility-Weighted Liquidity Map Kyle Amihud RollFragility-Weighted Liquidity Map — Kyle · Amihud · Roll
What it is
A move of the same size means opposite things depending on the book beneath it. Into a thin book, a move is mostly price impact — mechanical, fragile, prone to snap back. Into a deep book, the same move took real participation and is more likely informed. This tool estimates how impact-driven the tape is right now from three classic microstructure measures, fuses them into one fragility read, and tints recent liquidity levels by it. It scales conviction and risk — it never picks a direction.
The three measures (all from OHLCV, peer-reviewed)
Kyle's lambda (Kyle 1985) — price impact per unit of signed volume: |price change over a window| ÷ |Σ sign(Δclose)·volume|. High λ = each unit of flow moves price a lot = thin, impactable.
Amihud illiquidity (Amihud 2002) — the average of |return| ÷ dollar-volume. High = small volume moves price a lot. (Empirically ~0.8 correlated with Kyle, so the two are blended, not double-counted.)
Roll implied spread (Roll 1984) — the effective spread implied by the bid-ask bounce: c = 2·√(−Cov(Δp, Δp₋₁)) when that covariance is negative. When it is positive — common in trends — the Roll model does not apply, so the estimate is shown as not measurable here rather than forced to a number. That honesty is deliberate.
Fusion → fragility
Each measure is ranked against its own recent history (a percentile), so the read self-tunes to the symbol and timeframe. The fragility index is the weighted blend of whichever measures are currently available (Roll drops out in trends, and the blend adapts). High fragility = impact-driven, reversible tape; low = deep, informed. A plain-language read suggests trusting breakouts less and fades more when fragility is high — as context, not a signal.
The map
Bars that trade unusually large volume leave a horizontal liquidity level where size changed hands. Each level is tinted by the fragility state at the moment it formed: warm = it printed in a thin/impact-driven tape (a weaker level, more likely to be swept); cool = it printed in a deep/informed tape (sturdier). So the map shows not just where liquidity sits but how trustworthy each pocket is.
How to use it
Add to any liquid symbol/timeframe; defaults suit index futures — change the price/volume sources for other markets.
Glance at the fragility lane — the thin strip at the pane bottom: red = thin/fragile, green = deep/solid, gray = normal. Risk-semantic colors (danger/safe), never direction. That strip alone answers "how careful should I be" for a non-technical user.
States are dwell-filtered (standard anti-chattering): a new THIN/DEEP/NORMAL is announced only after surviving a set number of bars, so the read doesn't flip-flop. STABILITY shows how settled it is; PENDING shows a forming state with a countdown. The cost is a few bars of lag — stated and adjustable.
The HTF STACK row shows the raw fragility state on three higher timeframes derived as multiples of the chart (defaults 3×, 5×, 15× — a 5m chart reads 15m/25m/75m automatically). ✓ green = all timeframes agree on the same actionable state; ⚠ amber = a higher timeframe reads the opposite state.
Read the dashboard: DEEP / NORMAL / THIN, the three measures' ranks, and a suggested size factor. As it turns THIN, treat moves as more reversible: size down, favour fades over breakout-chasing.
Use the rails as liquidity references coloured by trust — a warm rail formed in fragile conditions; a cool rail in solid ones.
Pairs with Order-Flow Criticality: that tool asks whether flow is self-exciting (endogenous); this asks whether the book is thin (impactable). Both elevated together is the genuinely fragile state.
What makes it original
Retail liquidity tools draw where volume traded. This one weights each level and the whole tape by how impactable it is, using three peer-reviewed microstructure estimators computed from bar data, self-calibrated, and — crucially — honest about when the Roll model doesn't apply. Reframing a liquidity map from "where is liquidity" to "how fragile is liquidity" is the contribution.
Concept credits
Price impact of order flow (lambda) — A. S. Kyle (1985). Illiquidity ratio — Y. Amihud (2002). Implied effective spread from serial covariance — R. Roll (1984). Square-root impact refinement — J. Hasbrouck. Fragility framing — general market-microstructure literature. Implementation and charting design are the author's own.
Important disclaimer
Research and education only. Not financial advice, not a signal service, not a guarantee of future results. These are proxies estimated from bar data, not order-book truth, and they do not predict direction. Validate independently and manage your own risk. Indicator
Adaptive Structural Trail Order Flow, Imbalance & RegimeAdaptive Structural Trail — Order Flow, Imbalance & Regime
What it is
Adaptive Structural Trail is a single, self-contained market-structure framework that re-clocks the chart by participation instead of time, marks the imbalances that real activity leaves behind, lets order flow decide which of those levels still matter, asks a regime filter whether trending behaviour can be trusted right now, and trails the strongest surviving level as an adaptive stop — all summarised in a plain-language dashboard that tells you, at a glance, whether the picture says ride, wait, or stand aside.
It is designed to be market-agnostic: every raw input (price, volume, and the volatility-index reference) is user-selectable, so the same logic runs on index futures, equities, FX, crypto or commodities without touching the code. Defaults are set for NIFTY index futures; change the volatility symbol and (if needed) the volume source for other instruments.
Why the components are combined (this is one tool, not a bundle)
Each layer measures a different facet of one process — activity creating structure, structure decaying or being defended, and a regime deciding whether to act. They are not independent indicators stacked for visual effect; remove any one and the others lose their meaning:
Delta clock (the substrate). A virtual bar closes only when cumulative signed volume becomes statistically significant (σ × a multiplier). Every downstream reading is therefore spaced by participation, not by the clock — a quiet 10 minutes and a violent 10 seconds are treated differently, which is the whole point.
Imbalance / fair-value-gap detection runs on those virtual bars, so a level is recorded only where genuine activity gapped price, not on arbitrary time bars.
Order-flow lifecycle (charge → decay → breaker/dead). When price returns to a level, delta adjudicates the outcome: absorbed-and-defended levels are reborn as breakers; levels that are surged through are killed. Flow decides what structure survives.
Regime gate (efficiency ratio + volatility burst). This routes everything. The trail is shown and signals arm only where trend behaviour is statistically credible; in range/transition/high-volatility states the tool deliberately stands aside.
Confidence fusion. Structure strength, cumulative-delta slope and flow toxicity (VPIN) are blended into one confidence number, which the dashboard converts into a plain instruction.
That coupling — a volume-significance clock feeding imbalance detection whose survival is adjudicated by order flow and gated by regime, fused into a single trailing level and a decision read-out — is the original contribution here.
How to use it
Add it to any liquid instrument. It is built for intraday timeframes (1–15 min is the sweet spot on index futures).
Read the dashboard top-down: the ACTION banner is the headline (e.g. LONG · ride the trail, RANGE · stand aside). Below it: bias + confidence, market state, the actual trail-stop price, order flow, flow toxicity, volatility context, and a plain "what to do" line.
Treat the coloured trail as a structure-based stop while the market state is a trend; when the state leaves trend, the trail disappears by design.
The imbalance zones show where unfilled activity sits; fresh, tapped and breaker levels are colour-coded (see the on-chart legend).
Edge-calibration panel (bottom-right): for transparency it scores past signals against a regime-matched base rate and reports EDGE = Hit − Base with a 95% confidence interval. Read the Edge column, not the raw hit-rate. This is descriptive of the past on your symbol — not a backtest and not a forward guarantee.
Key-info panel (top-left): instrument, timeframe, the live data source (see honesty note), threshold, ATR and level counts.
Honest note on data (please read)
PulseWire exposes no true tick-by-tick aggressor delta and cannot build custom bars, so delta here is a proxy: signed intrabar volume taken from the finest lower timeframe your data plan returns — 1-second where available, otherwise 1-minute — falling back to bar-shape when no lower-timeframe data exists. The live source is shown as "Delta source" in the Key-info panel, so you always know which mode is active. Non-repaint: the delta clock advances and structure/regime/signals resolve only on confirmed bars; the trail line itself updates within the forming bar as a current estimate.
Originality
The novelty is the synthesis and coupling, not any single classical block. A participation clock is used to gate imbalance detection; order flow is used to adjudicate level survival; regime is used to route the entire read; and the whole thing collapses into one trailing level plus a decision dashboard and a self-calibration panel. Every raw input is user-selectable so the framework generalises across markets.
Concept credits
This tool synthesises well-established, publicly documented ideas; credit to their originators:
Information / volume-driven bars & VPIN flow toxicity — Marcos López de Prado; Easley, López de Prado & O'Hara.
Efficiency Ratio (trend vs. noise) — Perry J. Kaufman.
Trade-side classification (tick rule) — Lee & Ready.
Market impact & absorption (square-root law) — Almgren; Tóth & Bouchaud.
Wilson score interval (small-sample proportion CI) — E. B. Wilson.
Imbalance / fair-value-gap and trailing-stop concepts are long-standing, widely used market-structure ideas. The synthesis and the Pine implementation are the author's own.
Exported outputs (for use in other scripts)
Available via input.source() in any other indicator, with clean generic names: Bias Score (signed conviction, ±10), Trail Stop, Trail Direction, Regime State, Confidence, Leading Strength, CVD Slope, Flow Toxicity, Cumulative Delta, Volatility ROC, Volatility Bias.
Disclaimer
For research and education only. This is an analytical tool — not financial advice, not a signal service, and not a guarantee of future results. No indicator has an inherent edge; validate with your own testing, apply realistic costs, and manage risk. You are solely responsible for your trading decisions. Indicator
Liquidity Map & Execution Cost# Liquidity Map & Execution Cost
## What this script does
LMX answers three execution questions most indicators ignore: **how expensive is it to get in and out right now, how hard would it be to move size, and where on the chart will price struggle versus travel freely.** It reads only the chart's own price and volume — no symbol is hardcoded, so it runs on any asset and any market (equities, futures, FX, crypto, indices) — and turns the answers into a plain-language trade check: liquidity state, suggested position size, order type, estimated slippage, and a colour-coded map of support, resistance, walls and open gaps.
## Why these components are combined (mashup justification)
This is not several indicators stacked together — it is one liquidity model whose parts each answer a question the others cannot, and they are designed to be read together. Removing any one leaves a specific blind spot:
1. **Cost to cross — effective spread.** Estimated with the EDGE estimator (Ardia, Guidotti & Kroencke 2024) from open/high/low/close, cross-checked against Abdi-Ranaldo (2017) and Corwin-Schultz (2012). This tells you the round-trip cost of entering, which spread-blind tools cannot show. Alone, it says nothing about moving size or about levels.
2. **Cost to move size — price impact.** The Amihud (2002) illiquidity ratio with a high-low refinement, plus a rolling Kyle (1985) lambda computed as a true regression slope. This tells you how far your own order would push price — the question that matters for sizing, and one a spread estimate cannot answer.
3. **Direction of pressure — order imbalance.** A close-location signed-volume imbalance and its persistence. This tells you which side is leaning now, adding direction that the cost measures lack.
4. **The spatial map — volume at price.** A time-decay-weighted, range-distributed volume profile that yields the Point of Control and Value Area (standard 70% method), rendered as directional zones: green support below price, red resistance above, solid = a wall price struggles at, faint = an open gap price slides through. This converts the abstract cost/impact numbers into *locations* on the chart.
5. **Anchored VWAP — fair value.** A volume-weighted average anchored to your chosen reference (last major swing by default; or session/week/month open, or the highest-volume bar), drawn as a trend-coloured line. It is the dynamic counterpart to the static profile: where the average participant is positioned, and whether price is rich or cheap versus that.
Together they form one decision: the spread and impact set the **cost and size**, the imbalance and VWAP set the **direction and fair value**, and the map sets the **location** — so the output is "trade full size with market orders, buyers in control, room to run up to the gap above," not five separate readings.
## How a reading is produced
Each estimator is normalised to a percentile of its own history so thresholds adapt to every symbol and timeframe. The inverted spread, inverted impact and depth combine into a 0–100 **Liquidity Score**, classified as Deep / Normal / Thin / Stressed (a sudden impact spike forces Stressed). The score drives the suggested size multiplier, the order-type advice and the slippage estimate. The map is rebuilt on the last bar from the volume-at-price profile.
## How to use it
- Apply to any symbol. Set the price source and, if you trade very low intraday timeframes, optionally fix the calc timeframe (e.g. Daily) so the spread estimators stay stable. On symbols without real volume the volume modules disable automatically and the score leans on the spread estimators (the panel shows "price-only").
- **Simple mode (default)** gives plain-language guidance: Liquidity, Trade cost, Pressure, Position size, Orders, Watch-out, Fair value, and a one-line verdict. **Pro mode** exposes the full readout (spread in bps, Amihud and Kyle percentiles, depth, imbalance, flow persistence, value-area levels).
- On the chart: trade toward green support, expect resistance at red, size down where the map is thin (price moves fast there), and read the trend-coloured fair-value line for rich/cheap context.
- Alerts: liquidity-state change and sudden liquidity withdrawal.
## Originality
The combination is the original contribution: a single overlay that fuses low-frequency **spread**, **impact** and **imbalance** estimators with a **time-decay, range-distributed volume profile** and an anchored fair-value line, then translates all of it into sizing/order/slippage decisions in plain language. The building blocks are public-domain methods (EDGE, Abdi-Ranaldo, Corwin-Schultz, Amihud, Kyle, volume-profile Value Area, anchored VWAP), each used for the specific job described above and cited in the script header.
## Limitations (please read)
- These are **low-frequency estimators** of quantities normally measured from quote/tick data. They approximate — they do not measure — the true spread, depth, or dealer book.
- Volume-based modules require a real volume feed; they disable on symbols without one.
- Spread estimators were validated on daily-type bars; on very fast intraday timeframes they are noisier — use the calc-timeframe option if needed.
- The on-panel statistics are computed on the loaded chart history.
- This is an analysis tool, **not financial advice.** Test before use and trade at your own risk.
Indicator
Institutional Order Flow Signals [PMT]Institutional Order Flow Signals applies a Gaussian Naive Bayes classifier — trained entirely within Pine Script® v6 — to cumulative volume delta divergence in order to surface, in real time, three mutually exclusive market regime states: bullish re-alignment, bearish re-alignment, and order flow divergence.
The core question this indicator addresses is distinct from threshold-crossover approaches: given the current statistical pattern of delta momentum, price/CVD divergence, and delta slope, what is the posterior probability that the market is entering — or exiting — a directional institutional order flow regime?
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🔷 WHAT IT MEASURES
🔸 Cumulative Volume Delta (CVD)
CVD is the running sum of intrabar net order flow — buy volume minus sell volume — estimated via the close-position formula: bull_vol = volume × (close − low) / (high − low). The cumulative series tracks persistent institutional buying or selling pressure independently of price direction, making it a first-order proxy for directional order flow without requiring exchange-level bid/ask data.
🔸 Three Z-Score Normalised Features
Each bar, the classifier receives three inputs derived from CVD and z-score normalised for cross-instrument compatibility:
F1 — CVD Momentum : rate of change of CVD over N bars, normalised by its rolling mean and standard deviation. Encodes how rapidly buying or selling pressure is accelerating relative to its own recent baseline.
F2 — Price/CVD Divergence : price rate of change minus CVD rate of change. A large positive value signals price rising while order flow is falling — the classic institutional distribution pattern. Near-zero values indicate price and flow agreement.
F3 — CVD Slope : linear regression slope of CVD over a short window, z-score normalised. Provides a direction-of-flow signal independent of F1's momentum measure, satisfying the Naive Bayes conditional independence assumption as closely as CVD-derived features can.
🔸 Market Regime Labels
Three mutually exclusive regimes are recognised. A bullish re-alignment bar is one where both price ROC and CVD ROC are positive — institutional flow and price confirm each other to the upside. A bearish re-alignment bar is the symmetric case. A divergence bar occurs when price and order flow point in opposite directions — historically associated with regime transitions and distribution/accumulation activity.
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🔷 THE CLASSIFIER
🔸 Welford Online Learning
The classifier accumulates running sufficient statistics — count, mean, and variance — for each of the nine (feature × regime) combinations using Welford's numerically stable online update. No historical arrays are stored. The model's parameters shift gradually with each new bar, making it adaptive to changing market microstructure conditions without a fixed lookback window.
🔸 Gaussian Likelihood + Bayesian Posterior
Each feature is modelled as a Gaussian distribution under each class. The joint likelihood of the current feature vector is computed by multiplying the three per-feature probability densities under the Naive Bayes independence assumption. A class prior — updated empirically from observed regime frequencies — is combined with the joint likelihood via Bayes' theorem to produce posterior probabilities P(Bull | F1,F2,F3) and P(Bear | F1,F2,F3) for the current bar. A warmup gate suppresses signals until the classifier has accumulated statistically meaningful training observations.
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🔷 SIGNALS AND DISPLAY
🔸 High-Conviction Buy — P(Bull) > 85%
A long signal fires when the bull posterior clears the configurable threshold, CVD momentum confirms, and price is above the trend EMA. The threshold is surfaced on the label itself, making the confidence level explicit at every entry rather than hidden inside an opaque signal.
🔸 Bear Signal — CVD Divergence
A short signal fires when the bear posterior clears threshold and F2 is in active divergence territory — price moving up while order flow is declining, or the symmetric distribution case. CVD divergence without posterior confirmation does not produce a signal; both conditions are required simultaneously.
🔸 Bull Regime Band — CVD Aligned
A fill band anchored to the trend EMA expands when the classifier assigns high posterior probability to a sustained bullish re-alignment regime. The opacity of the band scales with the posterior — faint during low-confidence periods, saturated when the classifier considers the regime firmly established.
🔸 Info Table
Live readout displays current bull and bear posteriors, CVD direction, and training bar count. The Trained N counter confirms the classifier has completed warmup before acting on any signal.
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🔷 INPUTS
Classifier Lookback — minimum training bars before signals activate. Default 100.
Entry Posterior Threshold — minimum posterior required. 0.60 permissive; 0.70 default; 0.80 high-conviction only.
CVD Momentum Period — lookback for F1 and F2 rate of change.
CVD Slope Period — regression window for F3.
Z-Score Period — normalisation window applied across all three features.
Trend EMA Period — macro filter; long signals only fire above EMA, short signals below.
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🔷 REQUIREMENTS AND LIMITATIONS
The classifier requires a warmup period before signals are valid. The CVD estimator is synthetic — derived from intrabar price position, not actual bid/ask data — and introduces noise on instruments with low liquidity or wide spreads. The Naive Bayes independence assumption is partially violated because all three features are CVD-derived; the posteriors function as relative confidence scores rather than calibrated frequentist probabilities.
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Built natively in Pine Script® v6. No external libraries, no data feeds, no fixed lookback arrays. The Gaussian Naive Bayes classifier trains continuously from the chart's own bar history using Welford's online algorithm. Open source — Mozilla Public License 2.0. Indicator
Indicator
Elaris Volume Intelligence ProElaris Volume Intelligence Pro is a professional-grade volume analysis and smart money intelligence indicator designed to help traders understand market participation, hidden pressure, and potential reversal activity in real time.
Instead of displaying raw volume alone, Elaris Volume Intelligence Pro transforms market volume into actionable intelligence by combining relative volume analysis, volume delta estimation, CVD (Cumulative Volume Delta), absorption detection, climax activity, and smart flow momentum into a single clean and trader-friendly system.
The indicator is built for discretionary traders, scalpers, intraday traders, swing traders, and crypto traders who want deeper insight into market behavior beyond standard candles.
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FEATURES
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• Smart Volume Columns
Dynamically colored volume bars help identify bullish pressure, bearish pressure, climax activity, and absorption zones instantly.
• Relative Volume & Z-Score Engine
Detects abnormal market participation using relative volume and statistical volume expansion analysis.
• Volume Flow Momentum
A smoothed institutional-style flow model that helps traders identify whether aggressive buying or selling pressure is dominating the market.
• Bullish & Bearish Climax Detection
Highlights potential exhaustion candles during extreme participation and volatility conditions.
• Demand & Supply Absorption Detection
Detects high-volume compression behavior that may indicate hidden accumulation or distribution by larger participants.
• Volume & CVD Divergence Signals
Identifies possible reversal conditions when price action and cumulative volume behavior diverge.
• Smart Market State Dashboard
A clean built-in intelligence panel provides:
* Market bias
* Smart score
* Relative volume strength
* Volume Z-score
* Delta pressure
* Active signal state
• Dark Mode Optimized UI
Professionally designed visuals optimized for both dark and light PulseWire themes.
• Fully Configurable
All thresholds, smoothing values, divergence sensitivity, and visual layers can be customized for different trading styles and markets.
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HOW TO USE
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• Strong Bullish Conditions
Look for:
* Bullish volume climax
* Positive flow momentum
* Increasing relative volume
* Bullish divergences
* Demand absorption
• Strong Bearish Conditions
Look for:
* Bearish climax candles
* Negative flow momentum
* High sell-side pressure
* Bearish divergences
* Supply absorption
• Best Use Cases
* Crypto futures trading
* Intraday momentum trading
* Breakout confirmation
* Reversal detection
* Smart money analysis
* Volume-based confluence systems
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ALERTS INCLUDED
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The indicator includes built-in alerts for:
* Bullish/Bearish Volume Climax
* Demand/Supply Absorption
* Bullish/Bearish Divergence
* Bullish/Bearish Pressure States
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IMPORTANT NOTES
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• This indicator does not use repainting logic.
• Signals are generated using confirmed candle data.
• Works best on liquid markets with reliable volume data.
• Designed for confirmation and confluence, not standalone financial advice.
Built by Elaris Group.
Financial intelligence for modern markets.
Indicator
MTF Kinetic Oscillator | Rainbow MatrixGENERAL OVERVIEW
The MTF Kinetic Oscillator is a multi-timeframe order-flow probability oscillator that fuses 5 timeframes into a single composite score, blended with three independent order-flow sensors (CVD, Volume Climax, Squeeze) and plotted against a self-adaptive Fibonacci channel that recalibrates to current volatility conditions. Instead of treating an oscillator as a fixed 0-100 envelope where the same threshold means the same thing across all market regimes, the indicator continuously classifies the current score against an adaptive channel — and colors the chart accordingly.
The main goal of this indicator is to give traders a clean, automatic read on where the order-flow consensus sits across 5 timeframes simultaneously, and how stretched that consensus is relative to its own recent statistical range — without having to manually monitor multiple oscillators on multiple timeframes. Every value the oscillator displays is the result of a weighted aggregation of 5 timeframe scores, modulated by order-flow sensors, and contextualized against an adaptive channel.
It plots a single score line that travels through five color zones (yellow, orange, red, purple for upper extremes; green, teal, blue, aqua for lower extremes), each corresponding to a probabilistic regime. Combined with the Info Panel HUD, Vacuum Trail convergence lines, and Black Swan dynamic glow, the indicator gives a complete read on order-flow direction, statistical position, and proximity to exhaustion zones — all from a single oscillator pane.
This indicator was developed for traders who already understand oscillator-based indicators (RSI, MFI, Stochastic, CCI) and want a multi-timeframe aggregation that calibrates its thresholds to current volatility instead of using fixed 0-100 boundaries.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most oscillators on PulseWire — RSI, MFI, CCI, Stochastic, and their derivatives — share two common architectural choices: they operate on a single timeframe, and they classify against fixed thresholds (typically 70/30 or 80/20). This treats every market regime as statistically equivalent.
The problem: market regimes are not equivalent. A score of 75 during a tight-range, low-volatility period is structurally different from a score of 75 during a volatile expansion phase. Fixed thresholds applied to a non-stationary distribution produce systematic mismatches — overbought readings that resolve into further upside, oversold readings that continue lower, signals that appear at the wrong moments precisely when volatility shifts regimes. This mismatch becomes most visible during transitions between volatility regimes: trend climaxes, capitulation lows, squeeze breakouts.
This indicator addresses both issues at once. First, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through a sigmoid normalization. Second, the 5 per-timeframe scores are aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score — giving the most weight to the middle macro horizons rather than the shortest or longest timeframes. Third, the global score is plotted not against fixed 0-100 thresholds, but against a self-adaptive channel whose boundaries are re-computed every bar from the highest and lowest scores in the lookback window, smoothed by EMA, and proportioned by Fibonacci ratios (1.50/1.85, 1.85/1.85, 2.75/1.85, 3.85/1.85).
The three order-flow sensors — CVD Z-Score, Volume Climax, and Squeeze — operate as modulators of the base score: the CVD bonus amplifies the score when directional order pressure dominates (clamped at ±12 points), Volume Climax drag dampens the score when abnormal volume is detected (statistical exhaustion signal), and the Squeeze damper compresses score amplitude to 25% during compressed-volatility regimes (suppressing false signals during low-conviction lateral phases).
Why traders use it: each color zone on the chart represents a different probabilistic regime, calibrated to current volatility. When the score sits between the median and the inner band (yellow/green), the order-flow consensus is in normal operating range — equilibrium. When the score crosses into the second band (orange/teal), the move has crossed into directional territory. The third band (red/blue) marks the threshold beyond which most of the impulse has already happened — exhaustion. The fourth band (purple/aqua) marks the tail of the distribution — a Black Swan event in Taleb's sense — where score positions rarely persist under normal volatility conditions.
The three order-flow sensors and the adaptive Fibonacci channel are not independent layers stacked in the same pane. They map three different aspects of the same question: where the multi-timeframe order-flow consensus currently sits (the score), how that consensus is being modulated by live order-flow pressure (the sensors), and how stretched that modulated value is relative to its own recent statistical range (the channel). The integration of all three components into a single oscillator is the reason they exist in one script rather than as three separate indicators: the cross-component blending is what surfaces multi-sensor confluence that separate-script approaches cannot produce.
MTF KINETIC OSCILLATOR FEATURES
The indicator includes 6 main features:
Multi-Timeframe Score Engine
CVD Order-Flow Sensor
Volume Climax and Squeeze Sensors
Adaptive Fibonacci Channel
Vacuum Trail and Black Swan Dynamic Glow
Info Panel HUD and Alerts
Multilingual interface and full customization across all visual layers.
MULTI-TIMEFRAME SCORE ENGINE
🔹 What It Does
The core of the indicator. For each of the 5 configured radar timeframes, the engine performs three operations:
◇ Calculates a Log-Normal Z-Score regression of price (hlc3 transformed via natural logarithm, fitted with linear regression, residuals normalized by their own standard deviation).
◇ Computes a per-timeframe RSI at a Fibonacci-aligned length (8, 13, 21, 34, 55 — one per timeframe).
◇ Blends the Z-Score (via sigmoid normalization) and the RSI into a single per-timeframe score, bounded 0-100.
The 5 per-timeframe scores are then aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score representing the multi-horizon order-flow consensus.
🔹 Method
The regression runs in log space, addressing the asymmetric nature of price distribution that linear estimators (such as the Simple Moving Average) fail to account for. The directional reference (high vs low) is selected per bar based on candle direction — green candles use the high (upward pressure reference), red candles use the low (downward pressure reference). This produces a Z-Score that reflects the directional intent of each bar rather than the midpoint average.
The sigmoid normalization compresses Z-Scores into a bounded 0-100 range without losing the asymmetric information of extreme values. The RSI component anchors the score to a familiar momentum reference, blending two independent signal families into one bounded value per timeframe.
🔹 Hierarchical Weighting
The five timeframes are weighted by structural significance using Fibonacci proportions:
◇ TF1 (Trigger, default 5): weight 15% — fastest reactivity, lowest weight.
◇ TF2 (Intraday, default 13): weight 20% — session-scale resolution.
◇ TF3 (Macro 1, default 55): weight 25% — backbone of the score.
◇ TF4 (Macro 2, default 233): weight 25% — institutional reference horizon.
◇ TF5 (Base, default 987): weight 15% — macro trend anchor.
The middle horizons (TF3 and TF4) carry the highest weight because they typically represent the most structurally significant reference for institutional decision-making — short enough to react to current conditions, long enough to filter intraday noise.
CVD ORDER-FLOW SENSOR
🔹 What It Does
The CVD (Cumulative Volume Delta) sensor estimates the difference between buyer and seller volume per bar — measuring market-order aggression. The signed delta is normalized to a Z-Score against a 50-period rolling reference, and the resulting bonus is clamped at ±12 points before being added to the global score.
🔹 Method
For each bar, total volume is split between buyer share (proportional to `close - low / range`) and seller share (proportional to `high - close / range`). The signed delta is the difference. A 50-period mean and standard deviation define the reference; the current delta is expressed as a Z-Score against that reference, then multiplied by 4 and clamped to ±12 to control its contribution to the final score.
🔹 Why It Matters
The Z-Score component answers "where is the multi-timeframe consensus", and the RSI component answers "what is the momentum". The CVD sensor answers a separate question: "who is currently aggressive in the order book". When the multi-timeframe consensus is bullish and CVD aggression confirms it, the bonus amplifies the score. When the consensus is bullish but CVD shows seller aggression, the bonus subtracts from the score — surfacing a divergence between consensus and order-flow.
VOLUME CLIMAX AND SQUEEZE SENSORS
🔹 Volume Climax
A standalone sensor that detects abnormal volume conditions (volume Z-Score above 3.0). When triggered, a climax drag is applied to the score, signaling potential exhaustion. The HUD reports this state explicitly in the Status row.
🔹 Squeeze
A volatility-compression detector based on the percentage-rank of the current range against a 20-period lookback. When the range compresses to its 15th percentile or lower, the squeeze flag activates and the score amplitude is dampened to 25% of its normal range — preventing false directional signals during compressed-volatility regimes.
🔹 Why They Matter
These sensors operate on a different axis from the price-direction sensors. Volume Climax surfaces statistical exhaustion before it becomes visible in price; Squeeze suppresses noise during periods when the oscillator would otherwise produce false reads. Together they make the oscillator behave correctly during regime transitions, where standard oscillators are typically least reliable.
ADAPTIVE FIBONACCI CHANNEL
🔹 What It Does
The global score is plotted against a self-adaptive channel rather than against fixed 0-100 thresholds. The channel boundaries are re-computed every bar from the highest and lowest scores in a 50-bar lookback window, smoothed by 10-period EMA, and then proportioned through Fibonacci ratios into four zones:
◇ Z-Breathing (inner, yellow/green) — ratio 1.50 / 1.85 (≈ 0.811)
◇ Z-Alert (upper limit, orange/teal) — ratio 1.85 / 1.85 = 1.000 (the visible anchor)
◇ Z-Exhaustion (outer, red/blue) — ratio 2.75 / 1.85 (≈ 1.486)
◇ Black Swan (extreme edge, purple/aqua) — ratio 3.85 / 1.85 (≈ 2.081)
🔹 Why It Adapts
Fixed thresholds (70/30 or 80/20) treat every volatility regime as equivalent. The adaptive channel calibrates the rainbow visual to the actual statistical envelope of the current regime — overbought during a low-volatility consolidation does not mean the same as overbought during a volatility expansion, and the channel reflects that.
🔹 Visual Rendering
The space between adjacent channel boundaries is filled with a semi-transparent color matching the zone palette (toggleable via "Show Thermal Zone Fills"). This makes the current zone immediately visible without having to read the score number — the visual position alone tells you the regime.
VACUUM TRAIL AND BLACK SWAN DYNAMIC GLOW
🔹 Vacuum Trail
Ghost convergence lines projecting from exhaustion extremes back toward the channel median. The lines anchor at a level 15% inside the inner Breathing zone (not at the channel boundary itself), which produces visual convergence inward rather than along the edge — useful for anticipating the typical mean-reversion path after extreme touches.
🔹 Black Swan Dynamic Glow
The outermost ±3.85σ-equivalent boundaries are rendered as a main line plus a wide outer glow whose intensity scales with the score's distance from the boundary. The glow becomes bright when the score is near the Black Swan zone and fades when far — drawing visual attention only when the statistical tail is approached.
🔹 Why They Matter
Both elements give the oscillator a sense of direction beyond the score's current position: the Vacuum Trail visualizes the expected return path during exhaustion; the Black Swan Glow makes statistical tail events visible at a glance, before the score itself crosses the boundary.
INFO PANEL HUD AND ALERTS
🔹 What the HUD Shows
A compact corner panel reports six live values:
◇ SCORE — the current global score (0-100) with color matching the active channel zone
◇ PROB. — the absolute probability (distance from neutral 50 expressed as percentage)
◇ DIRECTION — BUY / SELL / NEUTRAL based on score position relative to the median
◇ CHANNEL — current channel regime classification (Uptrend / Downtrend / Sideways / Compression / Expansion)
◇ RHYTHM — score velocity classification (Fast / Slow)
◇ STATUS — Black Swan / Squeeze / Climax / Neutral, prioritized by severity
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The display language is controlled by the System Language input.
🔹 Alerts
Three alert types are available:
◇ Exhaustion Alert — fires when the score crosses above 85% (buying exhaustion) or below 15% (selling exhaustion).
◇ Squeeze Alert — fires when the squeeze flag activates (volatility compression detected).
◇ Black Swan Alert — fires when the score enters the ±3.85σ-equivalent extreme zone; uses an edge-trigger arm/disarm mechanism (fires once on entry, locks while inside, re-arms only on exit).
All alerts are gated by `barstate.isconfirmed` and use `alert.freq_once_per_bar` to prevent duplicate firings on the same candle. Five `alertcondition` blocks are also exposed for users who prefer the PulseWire alert UI.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, group names and input labels remain in English regardless of the selected language.
For reference, the English text of all multilingual UI strings used in the HUD and alerts:
◇ BUY / SELL / NEUTRAL — direction states
◇ SQUEEZE — Low Volatility. Await the Explosion.
◇ CLIMAX — Abnormal Volume Detected. Possible Exhaustion.
◇ UPTREND / DOWNTREND / SIDEWAYS / COMPRESSION / EXPANSION — channel states
◇ FAST / SLOW — rhythm states
◇ SCORE: / DIRECTION: / CHANNEL: / RHYTHM:
◇ BLACK SWAN — EXTREME HIGH / BLACK SWAN — EXTREME LOW
◇ Buying Exhaustion Alert: " Buying Exhaustion: Score above 85%. High reversal probability."
◇ Selling Exhaustion Alert: " Selling Exhaustion: Score below 15%. High reversal probability."
◇ Squeeze Alert: " Squeeze Active: Volatility maximally compressed. Explosion imminent."
◇ Black Swan Alert: " Score reached the dynamic channel's extreme zone. Maximum statistical tension. Reversal probable."
HOW TO USE
This indicator is not a signal generator. It is a state classifier: it tells you where the multi-timeframe order-flow consensus currently sits, how stretched that consensus is relative to its own recent statistical range, and which order-flow regime (climax, squeeze, normal) is currently active.
🔹 Reading the Oscillator
◇ The score line color matches the active channel zone — visual position alone identifies the regime.
◇ The HUD reports the score numerically and classifies the channel/rhythm/status in plain language.
◇ Vacuum Trail lines indicate the expected mean-reversion path during exhaustion conditions.
◇ Black Swan glow intensity scales with proximity to the statistical extreme.
🔹 Tactical Reading
◇ Score between dyn_mid and inner band: equilibrium zone. Order-flow consensus is in normal range.
◇ Score crossing into the Alert band: directional move asserting itself across multiple timeframes.
◇ Score at the Exhaustion band: most of the impulse has already happened — continuation in trend direction becomes structurally less favorable.
◇ Score touching the Black Swan band: statistical tail event. Mean-reversion context is elevated, but regime change is also possible — the boundary itself is adaptive, so a sustained breach indicates the volatility envelope expanding.
◇ Squeeze state active: oscillator is operating in low-conviction mode. Wait for squeeze release before trusting directional reads.
◇ Climax state active: abnormal volume has been detected. Exhaustion context is present regardless of score position.
🔹 Multi-Timeframe Reading
◇ The default radar configuration (5/13/55/233/987) follows Fibonacci minute periods and is calibrated for intraday and swing trading.
◇ For scalping, configure shorter timeframes (e.g., 1/3/8/21/55).
◇ For position trading, configure longer timeframes (e.g., 60/240/D/W/M).
◇ The middle-weighted timeframes (TF3 and TF4) carry the most influence — choose them carefully.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 MTF Synchronization (TF1 to TF5)
Configure each of the five timeframes to aggregate. Defaults: 5, 13, 55, 233, 987 (Fibonacci minutes). Weights are fixed at 15/20/25/25/15 percent respectively.
🔹 Show Thermal Zone Fills
Toggle for the semi-transparent rainbow fills between adjacent channel boundaries.
🔹 Show Vacuum Trail (Ghost Lines)
Toggle for the convergence ghost lines from exhaustion extremes back toward the channel median.
🔹 Show Dynamic Median Line
Toggle for the channel midline (dyn_mid) — the adaptive zero-reference of the oscillator.
🔹 Show Black Swan Lines (Dynamic Glow)
Toggle for the outermost ±3.85σ-equivalent boundaries with proximity glow.
🔹 Show Info Panel
Toggle for the corner HUD reporting score, direction, channel, rhythm, and status.
🔹 Panel Position
Position of the HUD on the chart. Four corners available: Bottom Right (default), Bottom Left, Top Right, Top Left.
🔹 Font Size
HUD font size. Options: Tiny (default), Small, Normal, Large, Huge.
🔹 Exhaustion Alert
Toggle for the alert that fires when the score crosses ±85/15 thresholds.
🔹 Squeeze Alert
Toggle for the alert that fires when the squeeze flag activates.
🔹 Black Swan Alert
Toggle for the alert that fires when the score enters the adaptive extreme zone.
IMPORTANT NOTES
The MTF Kinetic Oscillator works on any timeframe. The default MTF configuration (5/13/55/233/987 in minutes) is calibrated for intraday and swing trading on liquid instruments. The Fibonacci-aligned RSI lengths (8/13/21/34/55) and per-timeframe data lengths (288/96/72/60/40) are tuned to provide roughly equivalent statistical resolution across all five horizons.
The indicator works best on instruments with reliable volume data: crypto perpetual contracts, large-cap equities, futures, major forex pairs. On low-volume instruments, the CVD component becomes less reliable, though the score engine and channel continue to function correctly using the Z-Score and RSI components alone.
Alerts fire once per confirmed bar. The Black Swan alert uses an edge-trigger arm/disarm mechanism that prevents repeated firings while the score remains inside the extreme zone. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Value Area calibration factor (vp_k = 2.51) used internally by the score engine for the Volume Profile distance component is tuned to approximate the conventional 70% Value Area definition. The Fibonacci sigma multipliers (1.50, 1.85, 2.75, 3.85) used by the adaptive channel are intentionally non-standard — they are Fibonacci-inspired proportions, not arbitrary choices, and they map to four behavioral regimes derived from observation rather than to integer statistical thresholds.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MTF Kinetic Oscillator is unique in four ways. First, it operates across 5 timeframes simultaneously, aggregating per-timeframe scores via Fibonacci-proportioned weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) rather than operating on a single timeframe like RSI, MFI, CCI, or Stochastic. Second, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through sigmoid normalization — producing a bounded composite that combines two independent signal families per horizon. Third, the global score is plotted not against fixed 0-100 thresholds but against a self-adaptive Fibonacci channel whose boundaries are recomputed every bar from the highest and lowest scores in the lookback window — calibrating the rainbow visual to current volatility regime rather than to static numerical levels. Fourth, three independent order-flow sensors (CVD Z-Score, Volume Climax detection, and Squeeze volatility compression) modulate the score continuously, with the Squeeze damper compressing score amplitude to 25% during low-conviction lateral phases — suppressing false directional signals at exactly the moments standard oscillators are typically least reliable. The combination of Fibonacci-weighted multi-timeframe aggregation, log-space Z-Score plus RSI per timeframe, adaptive Fibonacci channel, and three order-flow modulators produces an oscillator that behaves differently from single-timeframe and fixed-threshold oscillators, particularly during volatility regime transitions where standard oscillators are least reliable. Indicator
Smart Money Liquidity Detector [PickMyTrade]Smart Money Liquidity Detector
This indicator measures market microstructure — the structural signals that institutional activity leaves behind in price and volume data. It combines four academically grounded models into a single Microstructure Stress Score (MSS) ranging from 0 to 100.
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MODELS USED
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► Roll (1984)
Synthetic bid-ask spread estimated from the serial covariance of price changes. High Roll spread indicates wider market-maker quotes — historically associated with periods of elevated volatility.
► Corwin-Schultz (2012)
High-low range spread estimator. Uses the relationship between single-period and two-period high-low ranges to back out the effective spread without requiring tick data.
► Amihud (2002)
Illiquidity ratio measuring price move per unit of volume. High Amihud values mean large price impact per dollar traded — a sign of thin order books.
► Kyle Lambda (1985)
Price impact of signed order flow. Derived from the regression of price changes on volume direction. Estimates how aggressively informed participants are moving the market.
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MICROSTRUCTURE STRESS SCORE (MSS)
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Each model is z-scored over a rolling window, normalised to , then averaged and scaled to 0–100.
MSS = (Roll + Corwin-Schultz + Amihud + Kyle Lambda) / 4 × 100
- MSS > 70 → High stress. Spreads wide, illiquidity elevated, price impact high. Consistent with institutional order flow.
- MSS 30–70 → Normal range. No structural signal.
- MSS < 30 → Low stress. Tight spreads, liquid conditions, quiet tape.
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ANOMALY DETECTION
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Any individual model z-score crossing ±2σ triggers an anomaly flag. Anomaly bars are highlighted in orange on the chart. Roll and Corwin-Schultz anomalies are marked with coloured circles directly on the MSS line.
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INPUTS
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- Spread window (default 20) — lookback for Roll and Corwin-Schultz estimation
- Z-score window (default 60) — rolling window for z-scoring all models
- Impact window (default 20) — lookback for Amihud and Kyle Lambda
- MSS normalise window (default 100) — window for normalisation before scoring
- Toggle each model's z-score plot individually
- Highlight anomaly bars on/off
- Info table on/off
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INFO TABLE
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Top-right table displays live values and z-scores for all four models, the current MSS reading, and anomaly status on the last closed bar.
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NOTES
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- Works on any liquid instrument and any timeframe. Most effective on futures, forex, and equity indices where volume data is reliable.
- This indicator does not generate buy or sell signals. It is a market structure diagnostic tool.
- Powered by PickMyTradeLib — PickMyTrade's open quantitative library.
This script is published for educational and informational purposes only. It does not constitute financial advice. Use at your own risk. Past microstructure behaviour does not guarantee future price outcomes.
Indicator
Order Flow Imbalance Recovery Planner [AGPro Series]Order Flow Imbalance Recovery Planner
🧠 Core Idea
Can a high-volume displacement pocket recover with enough absorption and follow-through to become actionable chart context?
📌 Overview / What it does
Order Flow Imbalance Recovery Planner maps high-volume displacement candles, converts them into practical imbalance recovery pockets, and evaluates whether price can recover that pocket with measurable response.
The script produces imbalance pockets, recovery rails, continuation corridors, invalidation shelves, target reference rails, event labels, and a compact AG Pro dashboard with a 0-100 recovery score.
This script does not read live order book data, footprint data, bid/ask tape, or true exchange-level order flow. It uses chart-available volume, relative volume, candle displacement, wick response, and recovery behavior as a practical visual proxy.
🎯 Purpose & Design Philosophy
The script was built for traders who want a structured way to study volume imbalance recovery instead of reacting to every large candle.
Many displacement candles look important at first, but the useful question is whether price can return to the pocket, absorb pressure, and recover the key rail.
The design supports a context-first workflow: identify the imbalance, observe the test, evaluate the recovery quality, and then read the current state.
⚡ Why This Script Is Different
Most tools mark volume spikes or wide candles as isolated events.
This script does NOT treat every high-volume candle as a signal.
Instead, it builds a recovery pocket, scores the reaction around that pocket, separates test conditions from READY conditions, and keeps invalidation visible.
⚙️ Methodology
1. Context Detection
The script searches for directional displacement candles with elevated relative volume, meaningful candle range, and sufficient body commitment.
2. Reference Mapping
When a valid imbalance is found, the script maps a recovery pocket and a recovery rail around the displacement body.
3. Reaction Evaluation
Price interaction with the pocket is evaluated through retest behavior, close location, wick response, relative volume, freshness, and failure distance.
4. Visual Output
The script displays the active pocket, recovery rail, target rails, invalidation shelf, event labels, bar state color, and dashboard state.
🗺️ How to Read the Chart
Zones represent the active imbalance recovery pocket.
The recovery rail marks the key level price needs to reclaim or lose before the context improves.
Labels highlight new imbalance pockets, pocket tests, ready recovery events, invalidations, and expirations.
Colors:
• Teal = bullish recovery context
• Pink = bearish recovery context or failed context
• Gold = neutral or wait state
• Indigo = monitor or reference state
The panel summarizes imbalance state, recovery score, flow response, risk, and action.
🚦 Signals & States
• Bull Imbalance → a bullish high-volume displacement pocket has been mapped
• Bear Imbalance → a bearish high-volume displacement pocket has been mapped
• Pocket Test → price is interacting with the active imbalance pocket
• Ready Recovery → the recovery score has reached the required threshold
• Invalidated → price has moved beyond the active failure edge
• Expired → the imbalance pocket is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a new imbalance pocket is locked, when price tests the active pocket, when recovery reaches READY status, or when the context is invalidated.
Alerts are attention markers only. They are not trade instructions and do not guarantee future price behavior.
🧩 Confluence Logic
The context becomes stronger when high relative volume, large displacement, clean pocket retest, wick absorption, and recovery close align around the same pocket.
📊 When to Use
• After high-volume displacement candles
• During pullback and recovery phases
• Around breakout continuation attempts
• When studying absorption after aggressive movement
• On liquid symbols with reliable volume data
⚠️ When NOT to Use
• Very low-liquidity markets
• Symbols with unreliable volume data
• Extremely noisy sideways sessions
• News-driven spikes with unstable spreads
• Markets where chart volume does not represent meaningful participation
🎛️ Key Inputs
• Minimum Displacement Range → controls how large a candle must be relative to ATR
• Minimum Body Ratio → filters weak candles with too much wick noise
• Minimum Relative Volume → controls how much volume confirmation is required
• Minimum Ready Score → controls how strict the READY state is
• Projection Bars → controls how far active pockets and rails extend
• Visual Settings → control labels, zones, right-side tags, panel, font size, and bar colors
🖥️ Interface & Visual Design
The dashboard is designed as a quick decision-support panel, not a separate oscillator.
The chart uses a clear hierarchy: pocket first, recovery rail second, labels third, and targets only after recovery context becomes relevant.
The goal is to keep the chart premium, readable, and useful at first glance.
🧪 Practical Usage Workflow
1. Read the panel state
2. Locate the active imbalance pocket
3. Check whether price is testing or recovering the pocket
4. Review the recovery score and risk
5. Compare the output with broader market structure
🔍 Interpretation Guidelines
A READY state means the script has detected enough recovery behavior around the imbalance pocket to mark the context as worth attention.
It does not mean price must continue.
Use the output as structured context together with trend, liquidity, volatility, and higher-timeframe conditions.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a true order book, footprint, or bid/ask delta tool.
It is not an automated trading system.
It does not provide guaranteed signals.
It is not financial advice.
⚠️ Limitations & Transparency
The script uses chart-available data only.
Volume quality differs between markets, brokers, exchanges, and asset classes.
Timeframe changes may alter the appearance and timing of imbalance pockets.
Extreme volatility may produce rapid invalidation or repeated displacement events.
🧠 Market Context Notes
Order-flow style interpretation should always consider liquidity, volatility, structure, and session context.
A strong recovery pocket in a clean trend may carry more practical meaning than the same pocket inside a noisy range.
🧾 Use Case Examples
When price creates a high-volume bullish displacement candle and later retests the pocket, the script evaluates whether the retest shows enough absorption and recovery strength to become a READY context.
When price loses the recovery edge, the script marks invalidation rather than keeping the setup visually alive.
🧱 System Philosophy
AGPro Series tools are designed as decision-support engines.
The goal is not to simplify markets into blind signals, but to organize complex price behavior into readable structure, state, and risk context.
🔐 Non-Promise Statement
No script can provide certainty.
No signal guarantees continuation, reversal, or profit.
Outputs should be interpreted as analytical context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how volume displacement, imbalance pockets, absorption, and recovery behavior interact across different markets and timeframes.
Indicator
Liquidity Grab Detector [AGPro Series]🧲 LIQUIDITY GRAB DETECTOR
Detects single-bar multi-level liquidity raids — the precise moment price sweeps a cluster of 2 or more distinct liquidity pools within a single candle and immediately reverses. Built for ICT, Smart Money, and institutional order-flow analysis, this engine identifies the liquidity raids that matter most: simultaneous multi-level stop hunts that typically precede the sharpest reversals.
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🔹 OVERVIEW
Most liquidity tools either track single sweeps or lifecycle-based breach-and-reclaim patterns. This detector focuses on a different, rarer, and higher-conviction event: the single-bar multi-level raid. When one candle sweeps a cluster of two or more untouched liquidity levels (swing highs/lows, session H/L, previous day H/L, previous week H/L) in a single motion, the odds of a meaningful reversal increase significantly. The engine validates each grab with four independent filters, deduplicates overlapping levels, merges adjacent reversal zones for a clean chart, tiers signals by quality, and projects forward target zones.
One-click preset modes (Aggressive / Balanced / Conservative / Custom) make the detector instantly suitable for any style — from high-frequency scalping to premium-only confluence trading — without manual tuning.
This is not a strategy and makes no directional prediction. It is a detection and visualization engine for a specific institutional order-flow footprint.
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🔹 UNIQUE EDGE — HOW THIS DIFFERS
The single-bar multi-level criterion is the defining separator from conventional liquidity tools:
▪ Traditional liquidity sweep detectors flag any single-level sweep. High signal rate, low conviction per signal.
▪ Breach-and-reclaim engines (equal-highs / equal-lows style) require a full lifecycle across multiple bars. Different mechanic, different timing.
▪ This detector requires a cluster of 2+ distinct liquidity levels to be swept in a single candle, within a user-defined ATR proximity. ATR-normalized thresholds adapt across all timeframes and symbols.
▪ ATR-based level deduplication merges coincident sources (e.g. Swing + PDH stacked at the same price) into a single logical level, preventing inflated sweep counts.
▪ Zone overlap-awareness: adjacent same-direction reversal zones are merged into a single extended zone rather than piling multiple boxes on top of each other. Premium, chart-clean visualization.
▪ Strikethrough length clamp keeps historical consumed-level lines from crossing the entire chart, even on long-running indicators.
▪ Preset modes encapsulate calibrated filter stacks, making the detector genuinely plug-and-play.
The combined filter stack (cluster + volume + wick + reversal + cooldown + dedup + zone-merging) produces fewer but significantly higher-quality signals with a clean visual footprint.
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🔹 METHODOLOGY
Preset modes calibrate the detection engine with one selection:
▪ Aggressive — minimum 2 levels, 0.7 ATR cluster, 1.1× volume, 0.15 ATR wick, 2 bar cooldown.
▪ Balanced — minimum 2 levels, 0.45 ATR cluster, 1.5× volume, 0.3 ATR wick, 5 bar cooldown. Default.
▪ Conservative — minimum 3 levels, 0.35 ATR cluster, 2.0× volume, 0.45 ATR wick, 10 bar cooldown. Premium-only.
▪ Custom — honors manually configured input values.
Level registry with deduplication. The script maintains a live registry of untouched liquidity levels built from four configurable sources. Incoming levels within a configurable ATR tolerance of an existing level are merged. Each level is time-stamped, capped at a configurable maximum count, and pruned once it ages beyond the lookback window or is consumed by a grab.
Cluster detection. On every bar, the engine scans active levels on both sides and classifies a bar as a multi-level sweep candidate when it penetrates the minimum level count whose vertical span fits within the ATR proximity band.
Confirmation layers:
1. Volume spike — grab bar volume must exceed the rolling SMA by the preset multiplier.
2. Wick ratio — rejection wick on the grab side must exceed the preset ATR fraction.
3. Immediate reversal — within a configurable window, price must close back beyond the swept cluster.
4. Cooldown — after a confirmed grab, new detections are suppressed.
Zone overlap-awareness. When a new grab's reversal zone falls within a configurable ATR distance of a recent same-direction zone, the existing zone is extended rather than drawing a new overlapping box. Aggregate targets stay clean.
Quality tier classification. Confirmed grabs are automatically tiered by level count, with 4-level grabs and 5+ level grabs receiving progressively stronger visual emphasis.
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🔹 SIGNALS & VISUALS
Confirmed bullish grab — triangle marker below the bar, "LIQ GRAB · N levels swept" label with tier stars for high-quality grabs, and a forward-projected reversal zone above the cluster with a target micro-label.
Confirmed bearish grab — mirror image with bear coloring.
Stagger-aware label placement. When multiple confirmed grabs occur close together on the chart, their labels are automatically offset vertically to prevent visual overlap.
Clean default visual profile. Swept-level strikethrough lines are disabled by default for a premium chart-clean look; enable them for detailed post-grab review. When enabled, a max-age clamp prevents extremely long lines.
Statistics panel (8 rows) — active level count, total grabs, bars since last grab, last grab source composition (dynamic, e.g. "PDL+Swing"), bullish vs bearish breakdown, reversal success rate, and average levels swept per grab.
Alerts — separate alert conditions for bullish and bearish grab confirmations, triggered on bar close.
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🔹 KEY INPUTS
Detection Engine
▪ Preset Mode — Aggressive / Balanced / Conservative / Custom.
▪ Minimum Levels Swept, Cluster Proximity, Cooldown — honored in Custom mode.
▪ Level Deduplication (ATR) — merge tolerance for coincident levels.
▪ Level Lookback, Max Active Levels — registry housekeeping.
Liquidity Level Sources — swing highs/lows, session H/L, PDH/PDL, PWH/PWL.
Confirmation Filters — volume multiplier and averaging length, reversal window, minimum wick ratio, ATR length.
Visuals
▪ Toggle labels, strikethroughs, zones, statistics panel.
▪ Label and panel font size (default Normal).
▪ Panel position (8 options) and theme (Dark / Light).
▪ Zone projection length, zone height, zone transparency.
▪ Zone merge distance (ATR-based overlap suppression).
▪ Max strikethrough length (bars).
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🔹 HOW TO USE
1. Start with Balanced preset on any timeframe. The ATR-based cluster logic adapts automatically, but 15m–4H timeframes on liquid instruments produce the cleanest signal set.
2. Switch to Conservative for premium-only signals at key institutional levels, or Aggressive when scalping intraday liquidity dynamics.
3. Watch for grab labels near well-defined liquidity clusters — session opens, PDH/PDL interactions, and at range edges. Tiered grabs (4+ levels raided in one bar) deserve special attention.
4. Use the reversal projection zone as a reference target area, not a mechanical take-profit. Combine with your existing structure, order blocks, or mean-reversion levels.
5. Check the "Last Sources" panel row to see which specific liquidity pools were raided most recently.
6. For detailed post-grab analysis, enable "Show Swept Level Strikethroughs" in the Visuals group. For a clean chart, leave disabled.
7. For fine-grained control, select Custom mode and adjust each filter manually.
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🔹 LIMITATIONS & TRANSPARENCY
▪ No repaint on confirmed signals — grabs are finalized only after the reversal window closes with all filters passing. Swing pivots used as level sources are inherently delayed by the pivot length (standard pivot behavior).
▪ The reversal success metric uses a fixed 1 ATR / 10 bar definition and is provided as context only. It is not a performance claim or win rate.
▪ In strongly trending markets, multi-level sweeps can occur without reversal, producing failed grabs. The filter stack reduces but does not eliminate this.
▪ On very low-liquidity symbols or extremely short timeframes, volume data can be noisy. Consider disabling the volume filter in those conditions.
▪ Session, PDH/PDL, and PWH/PWL levels are derived from the chart symbol's native session definition.
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🔹 RISK DISCLOSURE
This indicator is an analytical and visualization tool. It does not generate buy or sell recommendations, does not guarantee any outcome, and is not a trading strategy. All trading decisions are the sole responsibility of the user. Past pattern behavior does not guarantee future results. Always combine indicator output with your own analysis, risk management, and position sizing framework. Indicator
Institutional Candle Detector [AGPro Series]🕯️ Institutional Candle Detector
Every trader has stared at a massive candle and asked the same question: "Was that the start of a move, the end of one, or just noise?" Most indicators stop at detection — they paint the candle, drop a label, and walk away. This one keeps watching.
Institutional Candle Detector uses a dual-track engine. The body-driven track flags high-conviction candles where ATR-normalized body size and relative volume both expand together, then classifies each event by body/wick geometry. The independent absorption track captures a different signature entirely — low-body candles on extreme volume, the classic aggression-absorbed footprint that body-only detectors miss. Every detected event is then re-evaluated over the following bars to produce a measurable outcome scorecard.
🔹 OVERVIEW
The script scans each bar for two separate, mutually-exclusive institutional signatures:
• Body-driven events. Body must exceed a multiple of ATR AND volume must exceed a multiple of its rolling average. Classified by geometry into Continuation, Reversal or Exhaustion.
• Absorption events. Volume extremely elevated BUT body contained — the market paid for a big move and did not get one. Price was absorbed.
Every detected candle is then given a reaction zone projected forward, and its outcome is automatically tagged after the configured look-forward window — Follow-Through (FT), Reverse (RV) or Consolidation (CN). The panel accumulates aggregate statistics across the loaded chart so the trader can see which candle type actually works on their instrument and timeframe.
🔸 UNIQUE EDGE
What separates this tool from generic "big candle" or "volume spike" indicators:
• Dual-track detection. A single filter cannot capture both explosive moves and absorption. This script runs two engines in parallel with independent thresholds.
• Four-class geometric taxonomy, each backed by a distinct detection path. Continuation and Reversal fire from the body-driven track with different geometry. Exhaustion catches the mid-profile edge cases. Absorption runs entirely off its own volume-first track.
• Automatic after-behavior tracking. Each event is re-examined after N bars and tagged with an outcome code. This is the part most scripts omit — and it's where edge lives.
• Aggregate statistics panel. Follow-through rate, reverse rate, consolidation rate, and per-class counts are computed continuously. The panel tells you whether institutional candles on this asset actually extend, reverse, or fade.
• Forward-projected zones, colored by class. Body-driven bull/bear events use state colors. Absorption uses an indigo accent so the rarer signature is instantly recognizable. Reversal zones use the contrarian color to emphasize the expected directional flip.
🔹 METHODOLOGY
Body-Driven Track (produces CONT, REV, EXH)
– Body is measured as absolute (close − open) and required to exceed Body × ATR multiple.
– Volume is required to exceed a configurable multiple of its SMA average.
– An optional wick filter rejects candles where total wick exceeds the body beyond a given ratio, removing wide-range noise that looks institutional but is not.
– Continuation: body% ≥ configured threshold (clean directional close).
– Reversal: opposing wick% ≥ configured threshold (sharp rejection after initial push).
– Exhaustion: passes the dual-gate but falls into neither clean category — mid profile, often late in a move.
Absorption Track (produces ABS)
– Volume must exceed an independently configurable multiple (higher than body-driven default).
– Body must be small — below a max Body × ATR and below a max Body / Range.
– When absorption fires, it takes precedence over body-driven classification.
After-Behavior Layer
– After lookFwd bars, the script compares the extreme price move in each direction against the original body size.
– If same-direction extension ≥ ftPct × body → Follow-Through (FT).
– If opposite-direction retrace ≥ revPct × body → Reverse (RV).
– Otherwise → Consolidation (CN).
Aggregate counters accumulate across the loaded chart, producing a running scorecard visible in the panel.
🔸 SIGNALS, STATES & MARKERS
On-chart signals
• Institutional body recolored by class — bull/bear direction for CONT and EXH; contrarian color for REV; accent color for ABS.
• Directional triangle marker above/below the bar.
• Classification label: INST-Bull 3.2x CONT or INST-Bear 5.4xV ABS format, ASCII only. Labels offset from the candle to stay readable on dense charts.
• Reaction zone box projected forward from the candle's high-low range, color-coded by class.
• Outcome marker (FT / RV / CN) plotted lookFwd bars after the event.
Alerts available
• Institutional Continuation
• Institutional Reversal
• Institutional Absorption
• Institutional Exhaustion
All four alerts fire on confirmed bars only.
🔹 KEY INPUTS
Detection Core (body-driven track)
– ATR Length (default 14)
– Volume Average Length (default 20)
– Min Body × ATR (default 2.0)
– Min Volume Multiple (default 2.5)
– Wick filter toggle and max Wick/Body ratio (default 2.5)
Absorption Track
– Enable Absorption Detection
– Absorption Min Volume Multiple (default 4.0)
– Absorption Max Body × ATR (default 1.5)
– Absorption Max Body / Range (default 0.40)
Classification
– Continuation body% threshold (default 0.60)
– Reversal opposing-wick% threshold (default 0.40)
After-Behavior
– Look-forward bars (default 5)
– Follow-through threshold as fraction of body (default 0.50)
– Reverse threshold as fraction of body (default 0.60)
Visuals
– Show/hide zones, zone projection length, opacity, max active zones
– Label size (default Small; increase if labels feel too compact)
– Institutional border width
– Outcome marker toggle
Panel
– 8-position panel placement
– Dark / Light theme
– Font size (default Normal)
– Recent events mini-list toggle
🔸 HOW TO USE
1. Start with defaults on a liquid asset. 4H is a strong baseline; 1H for active traders; Daily for swing context. On Daily, consider lowering Min Body × ATR to 1.5 if events are too rare.
2. Watch the panel accumulate events over two to four weeks on your instrument. The follow-through rate tells you whether institutional candles on this chart tend to extend or fade.
3. Trade-context usage:
– Continuation with a high historical follow-through rate on this asset → trend trades in candle direction after pullback into the zone.
– Reversal with a high historical reverse rate → fade setups at key levels.
– Absorption → aggressive flow was met by an equal or greater defender; often precedes a reversal or compression phase.
– Exhaustion → proceed with caution; frequently a late-move signature where the trend is losing clean structure.
4. Reaction zones act as provisional supply/demand. A retest of a zone with another institutional event near it is a confluence worth noting.
5. Tune thresholds per asset. High-liquidity instruments may need Body × ATR of 2.5+ to keep events selective; low-liquidity pairs can go down to 1.5. Absorption volume multiple can also be adjusted upward on already-volatile instruments.
🔹 LIMITATIONS & TRANSPARENCY
• This is an analytical indicator, not a strategy. No entry, exit, or stop logic is defined and no performance claims are made.
• Aggregate statistics are computed over the loaded chart window and will shift as more bars load or as timeframes change.
• Volume quality depends on the data feed; exchange-reported volume differs across sources for the same asset.
• Follow-through evaluation uses a fixed look-forward window; real trade management will differ.
• All results are historical and descriptive. Past behavior of any candle class does not guarantee future behavior.
🔸 RISK DISCLOSURE
Trading carries substantial risk. This tool is provided for analytical and educational purposes. Do your own research. Use position sizing and risk management appropriate to your account. Nothing in this script constitutes financial advice. Indicator
Volume Shelf Reaction Map [AGPro Series]Volume Shelf Reaction Map
🔷 OVERVIEW
Volume Shelf Reaction Map is a structural price-action tool that identifies horizontal zones where volume has historically stacked — "volume shelves" — and classifies, in real time, how price reacts each time it returns to them. Instead of showing a static S/R line, it answers a sharper question: when price revisits this level, does it hold, get reclaimed, get rejected, or lose the level entirely? Fresh shelves (never revisited) are visually separated from reused ones, so the chart communicates not just where the levels are, but which ones still carry unused participation behind them.
🧭 UNIQUE EDGE
Most support/resistance and volume tools stop at drawing a zone. This script adds a reaction-state layer on top of shelf detection:
• Five reaction states per shelf: TOUCH, HELD, RECL (reclaimed), REJ (rejected), LOST
• Fresh vs Reused classification — shelves that have already been tested at least once are faded, so untouched structural levels stand out immediately
• Sticky state logic — a shelf keeps its reaction color until a new transition actually occurs, preventing flicker between bars
• Passive-window coloring — shelves whose last reaction is older than the user-defined active window fade to the neutral accent color, keeping old/stale levels visible without dominating the chart
• Strongest-shelf-only reaction tags with cooldown — reaction labels are printed only for the highest-strength shelf and only on actual state transitions, producing a clean chart even on long histories
The result is a volume-aware reaction map rather than a crowded S/R overlay.
🧪 METHODOLOGY
1. Pivot detection — standard pivot highs and lows over a configurable pivot length act as shelf candidates.
2. Volume qualification — each pivot bar is checked against a rolling 20-bar volume average; bars above the Volume Filter multiplier contribute extra weight to shelf strength.
3. ATR-based clustering — candidates within a configurable ATR multiple of an existing shelf are merged using a touches-weighted mean price, stabilizing the shelf location as evidence accumulates.
4. Confirmation — a shelf must reach the Minimum Touches threshold before it is rendered; weak candidates are pruned after one-third of the lookback window.
5. State machine — on every confirmed bar, a shelf's reaction is updated against the prior close's side (support vs resistance context), using an ATR-scaled buffer to distinguish genuine holds and losses from noise.
6. Ranking and rendering — on the last bar, shelves are sorted by strength; only the top N are drawn, with fresh shelves rendered solid and reused shelves rendered thinner and faded.
🔔 SIGNALS & ALERTS
Three alert types, each debounced per shelf so the same state cannot spam consecutive bars:
• Shelf Touched — price range intersects a confirmed shelf for the first time since its last transition
• Shelf Respected — price HELDs, RECLs, or REJs at a shelf (reaction in favor of the shelf)
• Shelf Lost — price closes through a shelf with the required ATR buffer
Reaction tags on the chart (HELD / RECL / REJ / LOST) are printed only for the strongest shelf and only on a true state transition, with a user-adjustable cooldown for historical cleanliness.
⚙️ KEY INPUTS
Shelf Detection
• Lookback Window (bars) — how far back the pivot scan reaches
• Pivot Strength — bars required on each side of a pivot
• Cluster Distance (x ATR) — how tightly nearby pivots merge
• Minimum Touches — confirmation threshold
Filters & Cleanup
• Volume Filter (x average) — participation threshold for strength weighting
• Show Fresh Shelves Only — hide already-revisited shelves
• Max Shelves to Display — cap visible shelves for chart cleanliness
• Fade Reused Shelves — dim reused shelves so fresh ones stand out
• Reaction Sensitivity (x ATR) — ATR buffer used by the state machine
• Active Window (bars) — how recently a reaction must have occurred to show in full color
Visuals
• Label & Panel Size — Tiny / Small / Normal / Large (default: Normal)
• Show Reaction Tags — toggle on-chart state labels
• Tag Cooldown (bars) — minimum bars between tags on the same shelf
Panel
• Show Info Panel, Panel Location (6 anchors), Panel Theme (Dark / Light)
Alerts
• Shelf Touched, Shelf Respected, Shelf Lost
🧰 HOW TO USE
1. Add the indicator to any liquid symbol and timeframe. Volume-aware markets (crypto, index futures, major FX) and timeframes from 15m upward tend to produce the most structured shelves.
2. Start with defaults. The Active Window of 30 bars is a reasonable middle-ground; reduce it on intraday charts (around 20) or raise it on daily/weekly (30–60).
3. Read the panel:
• Active Shelves — how many of the eligible shelves are currently drawn
• Strongest Shelf — the top-ranked shelf by strength
• Current State — live reaction state of the top shelf
• Fresh / Reused — how the displayed shelves split between untested and already-tested levels
4. Use fresh shelves as higher-quality reaction candidates; treat reused shelves as context, not primary triggers.
5. Combine the HELD / RECL / REJ / LOST reactions with your own trigger logic (e.g. break-retest, liquidity sweeps, momentum shifts). This script is a location and reaction tool — not a standalone trade system.
🧱 LIMITATIONS & TRANSPARENCY
• This indicator describes historical structure and live reactions; it does not forecast price direction.
• Pivot-based detection requires the Pivot Strength window to complete on both sides, so fresh pivots appear with a natural lag equal to the pivot length.
• On very low-volume symbols or illiquid timeframes, shelves may be sparse or unstable.
• The state machine is bar-close based; intrabar wicks can temporarily intersect a shelf without changing its state until the bar confirms.
• Max drawing limits (max_lines_count, max_labels_count, max_boxes_count) are set to 120; extremely long histories combined with large lookbacks may drop the oldest drawings.
⚠️ RISK DISCLOSURE
This script is provided for educational and analytical purposes only. It is not a strategy, not a buy/sell signal generator, and not financial advice. Trading involves substantial risk of loss. Past behavior of levels, volume, or reactions does not guarantee future outcomes. Always apply your own risk management, position sizing, and independent judgment. The author and AGProLabs accept no responsibility for decisions made based on this indicator. Indicator
Rejection Block Quality [AGPro Series]Rejection Block Quality
🔹 OVERVIEW
Rejection Block Quality is an ICT-inspired detector that identifies long-wick rejection candles at swept swing pivots and grades each block by objective quality criteria. Unlike Order Block logic — which anchors to the last opposite-direction body before displacement — a Rejection Block (RB) is born from a wick that pierces a prior swing liquidity pool and closes back inside it, with the body confirming displacement on the follow-through bar. The rectangle is drawn from the wick base to the candle body, capturing the exact zone where smart money absorbed the sweep.
🎯 UNIQUE EDGE
Three design choices separate this tool from generic wick or order block indicators:
• Swing-pivot sweep requirement — a rejection is only counted when price sweeps a confirmed swing high or low before the reversal close. Stand-alone wick patterns without liquidity context are filtered out.
• Displacement confirmation window — the candle following the rejection must travel at least 0.6× ATR in the reversal direction, within a 1–5 bar lookahead. No displacement, no block.
• Quality tiering (A / B / C) from three orthogonal factors — wick-to-body ratio, displacement magnitude, and untested freshness. An exceptional wick ratio (≥5× body) promotes a block to A tier regardless of other scores, preserving rare high-conviction rejections.
🛠️ METHODOLOGY
Detection pipeline on every bar:
1. Confirm a pivot sweep using a user-configurable lookback (default 5 bars each side).
2. Check the wick-to-body ratio against a minimum threshold (default 1.8×), with the dominant wick on the sweep side.
3. Queue the candle as a pending block and wait for displacement confirmation.
4. Measure displacement as price travel from the body reference over 1 to 5 bars, normalized by ATR.
5. On confirmation, draw the RB zone from the wick base to the body, record the tier, and begin lifecycle tracking.
Zone lifecycle tracks four events — test (price enters the zone), hold (price exits without a body close through the far edge), break (body close through the far edge), and near miss (price approaches within a configurable ATR band without entering). All events are edge-detected to prevent inflated counts when price lingers near a zone.
📊 SIGNALS & ALERTS
• New block formation label — A / B / C tier plus wick ratio, placed with anti-collision offset.
• Test markers (T) — one per zone entry event, with cooldown to prevent visual clutter.
• Break markers (B) — placed when a zone is invalidated by a body close.
• Wick border highlight — thick colored line on the originating rejection candle.
• Alerts — configurable minimum tier (A, B, or C) fires once per bar close for each qualifying new block.
⚙️ KEY INPUTS
• Detection — Pivot Length, Min Wick-to-Body Ratio, ATR Length, Min Displacement (× ATR), Displacement Confirm Window.
• Zone Management — Max Active Zones per Side, Zone Right Extension, Near-Miss Distance, Near-Miss Cooldown, Break Requires Full Body Close.
• Visuals — Show Zones, Show Tier Labels, Highlight Rejection Wick Border, Show Test / Hold / Break Markers, Zone Fill Opacity, Label Font Size.
• Panel — Show Panel, Panel Location, Panel Font Size, Panel Theme (Dark / Light).
• Alerts — Minimum Tier for Alerts.
🧭 HOW TO USE
Start on a higher timeframe (4H or 1D) to identify macro RB zones, then drill down to execution timeframes for entries. Treat A-tier blocks as the highest-conviction zones, B-tier as situational, and C-tier as context-only. Combine with trend filters, higher-timeframe structure, and risk management — a Rejection Block is a zone of interest, not a standalone buy or sell signal. Use the panel statistics to evaluate how the selected symbol and timeframe have historically respected these zones before committing to them in live decision-making.
⚠️ LIMITATIONS & TRANSPARENCY
This indicator is a structural detector, not a trading strategy. It does not forecast price direction, generate entry or exit orders, or calculate position sizing. The Success Rate statistic reflects how often past tests on detected zones held versus failed within the visible history — it is a descriptive metric, not a performance projection. Zone detection is historical and reactive: a block only appears after the displacement bar closes, so interpretation on live-forming bars is tentative. Performance varies by symbol, timeframe, and market regime.
⚠️ RISK DISCLOSURE
Trading involves substantial risk of loss. Past behavior of any pattern does not guarantee future outcomes. Use this tool as part of a complete analytical framework that includes your own risk management, position sizing, and broader market context. Nothing in this indicator or description constitutes financial advice. Indicator
Liquidity Void Navigator [AGPro Series]Liquidity Void Navigator
🔹 OVERVIEW
Liquidity Void Navigator identifies impulsive price displacements that were produced with disproportionately low volume participation — the institutional footprint of a true liquidity void. Unlike geometric gap concepts that rely purely on wick-to-wick imbalance, this engine measures the efficiency of each impulsive bar: how much price moved relative to how much volume was transacted. When price travels faster than the order book justifies, a magnet zone is born. These zones frequently act as high-probability retest and mean-reversion targets for SMC and ICT traders.
🔹 UNIQUE EDGE
Most gap-based tools on PulseWire detect Fair Value Gaps using a 3-bar geometric pattern. This indicator uses a fundamentally different signature:
- Volume Efficiency Ratio (core innovation): efficiency = (volume / avgVol) / (range / ATR). Values below the threshold reveal bars where price displacement outpaced volume effort — the statistical definition of a liquidity void.
- Body-based zones, not wick-to-wick: the void box spans the impulsive candle body, excluding wicks that represent liquidity sweeps.
- Dynamic lifecycle management: zones are tracked from birth through mid-line mitigation, with configurable trigger modes (close cross, wick touch, or full fill).
- Strongest-void emphasis: the lowest-efficiency active void automatically receives a bold neutral-colored border, giving traders an at-a-glance view of the most reliable magnet on the chart.
🔹 METHODOLOGY
Each completed bar is evaluated against four quality filters:
1. Range Expansion — bar range must exceed ATR × configurable multiplier (default 1.3).
2. Volume Efficiency — the efficiency ratio must fall below the configurable cap (default 0.85).
3. Minimum Height — void must be at least a fraction of ATR to filter micro-noise (default 0.5×).
4. Body Dominance — the candle body must represent at least 50% of the total range, confirming directional conviction rather than indecision.
Qualifying bars create a directional void zone spanning the body. An optional next-bar gap confirmation adds stricter FVG-style filtering. Active zones are continuously evaluated against the selected mitigation mode and updated in real time. Oldest active voids are pruned when the per-side cap is exceeded, keeping the chart focused on recent, actionable structure.
🔹 SIGNALS & ALERTS
Four alert conditions are available:
- New Bullish Liquidity Void — an upward impulsive void is detected.
- New Bearish Liquidity Void — a downward impulsive void is detected.
- Bull Void Mitigated — closing price crosses the mid-line of an active bullish void from above.
- Bear Void Mitigated — closing price crosses the mid-line of an active bearish void from below.
Each alert fires only on bar close to eliminate repainting concerns. Alert messages include the ticker and timeframe for multi-chart workflows.
🔹 KEY INPUTS
Void Detection
- Volume Baseline Lookback — window for average volume and range calculations.
- Min Range Expansion (×ATR) — minimum impulsive bar size.
- Max Volume Efficiency Ratio — core void qualification threshold.
- Min Void Height (×ATR) — filters micro-voids.
- Require Gap with Next Bar — optional strict confirmation.
- Mitigation Trigger — choose between Close Cross (institutional default), Wick Touch (strict), or Full Fill (swing).
Lifecycle
- Max Active Voids per Side — visual cap to prevent chart clutter.
- Zone Right Extension — how far zones project to the right.
- Show Mitigated Voids — optionally display filled zones in gray.
Visuals
- Bullish / Bearish / Mitigated colors, mid-line toggle, projection arrow toggle, label size.
Panel
- Show / position / font size.
🔹 HOW TO USE
Trend-aligned reversion entries: When price returns to an unmitigated void in the direction of the higher-timeframe trend, watch for rejection at the mid-line or far edge as a potential long (bull void) or short (bear void) trigger.
Breakout continuation context: Newly formed voids in the direction of a breakout often indicate institutional participation. Waiting for a retest of the void zone can provide improved risk-to-reward compared to chasing the breakout bar.
Strongest-void bias: The yellow-bordered void on the chart represents the lowest-efficiency (statistically strongest) active zone. Traders can treat it as the highest-probability magnet for price revisits.
Fill Rate context: A persistently high fill rate on a given symbol or timeframe indicates that voids fill rapidly — more suitable for scalping. A lower fill rate suggests that unfilled voids accumulate meaningfully, offering swing-style opportunities.
Multi-timeframe workflow: Identify voids on a higher timeframe (4H or 1D) as strategic bias zones, then use a lower timeframe (15m or 1H) for tactical execution when price approaches those higher-timeframe voids.
🔹 LIMITATIONS & TRANSPARENCY
- This indicator is built for liquid markets with reliable volume data. Thinly traded symbols or instruments without accurate volume feeds (some spot FX, certain indices) will produce unreliable results.
- Not every detected void will be retested or filled. Voids are statistical zones of interest, not guarantees.
- The indicator is a visualization and analytical tool, not a trading strategy. It does not generate buy or sell recommendations.
- Fill rate statistics are computed over the visible history of active and mitigated voids and are approximate; they are intended as a relative gauge of symbol behavior, not as a backtested performance metric.
- Mitigation triggers are bar-close based to avoid repainting. Intrabar signals may appear and disappear until the bar confirms.
- Zones have a fixed right extension from their birth bar; the indicator does not extend zones infinitely.
🔹 RISK DISCLOSURE
Trading financial markets involves substantial risk of loss and is not suitable for all investors. Past performance of any technical indicator, including this one, is not indicative of future results. This tool is provided for educational and analytical purposes only and does not constitute financial advice, investment recommendations, or solicitation to trade. Users are solely responsible for their own trading decisions, risk management, and outcomes. Always conduct independent analysis and consult with a qualified financial advisor before making investment decisions. Indicator
Cumulative Volume Delta Flow [AGPro Series]Cumulative Volume Delta Flow
🔹 **Overview**
Cumulative Volume Delta Flow is a hybrid CVD engine designed to expose order-flow imbalances without requiring footprint charts or exchange-native buy/sell data. It reconstructs cumulative delta using lower-timeframe breakdown when available, with intrabar polarity as a universal fallback — making it work on every symbol and every timeframe. On top of this engine, a triple-layer divergence detector identifies Regular, Hidden, and statistical Exhaustion signals, and every signal is scored by its own statistical strength with a ★/★★/★★★ rating system printed directly on the label.
The indicator is built for traders who want smart-money context at a glance: when buyers are absorbing, when a rally is losing real participation, and when a climactic flush is likely to reverse — with an immediate visual cue of how strong each signal is relative to the recent flow regime.
🔹 **Unique Edge**
Most CVD indicators are single-mode: either they plot cumulative delta, or they call a Regular divergence. This script combines four layers that rarely appear together in one tool:
- Hybrid engine with transparent fallback (no silent failure on high TFs)
- Exhaustion detection based on standard-deviation of CVD change, not price — catches reversals that price-only divergence misses
- Per-signal ★/★★/★★★ strength rating using type-specific statistical metrics (pivot-gap σ for Regular/Hidden, change σ for Exhaustion), so traders instantly know which signals deserve attention
- Optional reaction zones anchored at flow-driven pivots, behaving as dynamic support/resistance born from real participation events rather than pure price structure
🔹 **Methodology**
- The engine computes two parallel delta streams every bar: an intrabar polarity stream (weighted by wick balance for neutral/doji candles) and a lower-timeframe stream that iterates sub-bars and signs each by its close-vs-open direction
- In Hybrid mode, the LTF stream is preferred when it yields a non-zero value; the intrabar stream is used as fallback so the indicator never goes blank on exotic tickers or high timeframes
- A session/daily/weekly reset prevents long-run drift and keeps the cumulative counter meaningful across regime changes
- Pivots are detected on both price and CVD with a shared lookback window; the last two price pivots and their paired CVD values are tested for all four classical divergence relationships
- Exhaustion is a separate statistical trigger: the single-bar CVD change is compared against a 50-bar standard deviation; a σ breach in the direction opposite to the candle body is flagged as climactic absorption
- Each divergence label is rated with stars based on its type: Regular and Hidden use the CVD-pivot gap normalized by 50-bar CVD level stdev (how far apart the two flow pivots are), while Exhaustion uses the σ multiple of the current CVD change (how extreme the climactic event is)
- A cooldown window suppresses signal clustering in chop, and labels are offset by ATR-scaled distance with a leader line so they never collide with candles
🔹 **Signals & Alerts**
On-chart labels with star rating:
- Reg Bull / Reg Bear ★-★★★ — classical reversal divergence (price exhausts, flow refuses)
- Hid Bull / Hid Bear ★-★★★ — continuation divergence (pullback inside an active trend)
- Exh Bull / Exh Bear ★-★★★ — statistical flow climax above the σ threshold
Star thresholds for Regular/Hidden: ★★★ ≥ 2.0σ gap, ★★ ≥ 1.0σ gap, ★ < 1.0σ.
Star thresholds for Exhaustion: ★★★ ≥ 3.0σ, ★★ ≥ 2.0σ, ★ < 2.0σ (minimum trigger is 1.75σ).
Each signal carries its own color code and a leader line connecting the label back to the source candle for fast visual reading. Six discrete alertcondition slots are exposed plus three proactive alert() calls grouped by divergence family, so traders can route regular, hidden, and exhaustion signals to different channels.
🔹 **Key Inputs**
- Calculation Method: Hybrid, LTF Only, or Intrabar Only
- LTF Resolution: Auto (adaptive by chart TF) or fixed 1 / 3 / 5 / 15m
- CVD Reset: Session, Daily, Weekly, or None
- Pivot Length: 2–15 bars
- Toggles for Regular / Hidden / Exhaustion layers independently
- Exhaustion Threshold (σ): 1.0–4.0, default 1.75
- Min Bars Between Signals: anti-clustering cooldown (default 15)
- Reaction Zones: optional, with ATR width, extend length, and max active cap
- Label Size + Label Offset (ATR) for visual tuning
- Info Panel: 5 positions, 4 text sizes, full hide toggle
🔹 **How to Use**
- On the 4H timeframe, run the defaults on liquid instruments: BTCUSDT, ETHUSDT, SPX, ES, major FX pairs
- Treat ★★★ signals as the highest-priority reads of the chart — these are statistical outliers
- Treat ★★ signals as the normal tradeable population — the bulk of decision-making happens here
- Treat ★ signals as background context — use them for bias confirmation, not as primary entries
- Regular divergences are reversal warnings at structural highs/lows; they are most reliable when aligned with a key horizontal level or trendline
- Hidden divergences are trend-continuation entries during pullbacks inside a confirmed trend
- Exhaustion signals mark participation climaxes and often coincide with short-term reversals even when no classical pivot has formed yet
- Check the Info Panel's Last Signal row for the most recent event type and its star rating without scanning the chart
- Enable Reaction Zones when you want persistent S/R context from flow events; keep them off for minimal, label-only use
- Consider combining with a structure tool from the AGPro Series (SFP, Breaker, Unicorn) for confluence
🔹 **Info Panel**
The compact info panel on the chart surfaces seven live metrics: the current cumulative CVD value, the CVD trend classification (Up/Down/Flat based on price relative to its own EMA 21), the last signal's full name and star rating in color, the rolling divergence count over the last 200 bars (Bull / Bear), and the bar-age of the most recent bullish and bearish events. This gives a full situational snapshot without scrolling.
🔹 **Limitations & Transparency**
- CVD from intrabar polarity is an approximation, not true tick-level order flow. Exchange-native buy/sell volume is only available through footprint data
- On very high timeframes (Daily+), LTF breakdown may return partial data; Hybrid mode is recommended
- Divergence signals appear only after both pivot legs are confirmed; the second pivot needs `pivotLen` bars of right-side confirmation, so signals print with that lag
- Exhaustion requires at least 50 bars of CVD history for the standard-deviation baseline
- Star ratings are statistical descriptors of signal strength relative to recent flow, not trade-quality guarantees
- Past performance of any divergence pattern does not guarantee future results; this tool surfaces probabilistic context, not guaranteed reversals
🔹 **Risk Disclosure**
This indicator is an analytical framework, not a trading system or financial advice. Signals are technical observations intended to support decision-making; they do not account for fundamentals, news, liquidity, or your risk tolerance. Always use proper position sizing, stop-loss placement, and risk management. Test the tool on historical data and in a simulated environment before deploying it on live capital. Trading carries risk of substantial loss. Indicator
Adaptive Volume Concentration Levels + Volume-Price Shift BoxDescription
Adaptive Volume Concentration Levels + Volume-Price Shift Box combines two powerful market analysis concepts into one streamlined tool: adaptive volume-based support and resistance mapping, and a real-time volume-price flow dashboard.
The script identifies the most meaningful price zones based on where volume has concentrated over a chosen lookback range, helping highlight areas where the market has shown strong interest. At the same time, it displays a compact shift box that evaluates price, volume, VWAP, OBV, A/D behavior, and momentum to estimate whether market pressure is currently bullish, bearish, or neutral.
This makes the script useful for traders who want both structural levels and contextual order-flow style bias in a single indicator.
How It Works
The script has two main components:
-Adaptive Volume Concentration Levels
It scans historical price action over a customizable lookback period.
Price is divided into bins, and volume is accumulated into those bins.
The script then selects the highest-volume zones and converts them into horizontal support/resistance levels.
A higher timeframe option and smoothing feature can be used to reduce noise and reveal more stable levels.
Levels can be displayed with custom colors, line styles, transparency, and optional percentage labels.
- Volume-Price Shift Box
The dashboard evaluates several internal conditions:
VWAP trend and price distance from VWAP
OBV trend and OBV acceleration
A/D line trend
Relative volume versus average volume
Price momentum
Weighted bullish and bearish scores are calculated from these components.
The final shift score determines whether the current state is:
Bullish
Bearish
Neutral
The box then displays key readings such as shift strength, volume vs average, VWAP distance, shift duration, and OBV state.
Key Features
Adaptive volume-based support and resistance detection
Dual SR logic for identifying important high-volume price zones
Optional higher timeframe processing for cleaner structure
Price smoothing to reduce noise in level calculation
Customizable level count, bin density, transparency, labels, and styling
Real-time shift box with bullish, bearish, or neutral bias
Weighted scoring model using VWAP, OBV, A/D, volume, and momentum
Shift strength readout for quick bias confirmation
Shift duration tracking to show how long the current condition has persisted
Clean visual layout that combines structure and flow into one script
How to Use
Start by applying the indicator to your chart and adjusting the level settings based on your trading style.
For the volume concentration levels:
Increase the lookback if you want broader, more established levels.
Increase the number of bins for finer price granularity.
Use the minimum volume filter to remove weaker levels.
Turn on the higher timeframe option if you want more stable zones from a broader market perspective.
For the shift box:
Use the default settings first, then adjust sensitivity and component weights to better match your market and timeframe.
Watch for bullish or bearish shifts when price approaches one of the plotted volume levels.
Use the strength reading to judge whether the bias is weak or decisive.
Monitor duration to see whether the current directional pressure is fresh or extended.
A practical workflow is:
Use the horizontal levels as reaction zones
Use the box to judge whether current pressure supports continuation or rejection from those zones
Combine both with your existing entry and risk management rules
How It Helps
How It Helps
This script helps simplify decision-making by combining where price is likely to react with how price and volume are behaving right now.
The volume concentration levels help traders identify:
likely support and resistance
potential reaction zones
areas of prior market agreement or interest
The shift box helps traders evaluate:
whether buyers or sellers currently have control
whether momentum and volume are aligned
whether market pressure is strengthening or fading
Used together, the tool can help with:
trade location
directional confirmation
filtering weak setups
improving timing around important price zones
It is especially useful for traders who want a clearer view of both market structure and current flow conditions without cluttering the chart with multiple separate indicators.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, trading recommendations, or an offer or solicitation to buy or sell any financial instrument.
All indicator outputs, classifications (including bullish, bearish, or neutral states), and visual elements are derived from historical market data using user-defined parameters. These outputs are interpretive in nature and do not predict future market performance or guarantee any specific result.
Trading financial instruments involves substantial risk, including the risk of loss exceeding initial capital. Market conditions may change rapidly due to factors outside the scope of this indicator, including but not limited to economic events, news releases, liquidity conditions, execution quality, and slippage.
The developer assumes no responsibility or liability for any trading decisions, losses, or damages arising directly or indirectly from the use of this indicator. Users are solely responsible for evaluating the suitability of this tool for their own trading objectives, risk tolerance, and market conditions.
Past performance, indicator behavior, or historical alignment of signals does not guarantee future results. Use of this indicator constitutes acceptance of these terms.
Indicator
Synapse_VSync_LibV-Sync (Volume Synchronization) is a multi-dimensional macro-confluence engine. It aggregates four objective market truths into a single synchronized bias (0.0 to 1.0) to filter signals and define market regime.
The Four Pillars of V-Sync
1. Base Volume (Temporal Flux)
Engine: Exponentially weighted volume flow.
Logic: up_volume / total_volume with a math.exp(-i/lookback) decay.
Utility: Capturing sustained momentum in raw participation. It filters out low-volume "fakeout" moves that lack broad participation.
2. Footprint (Order Flow Delta)
Engine: Micro-delta tracking (Institutional Tape).
Logic: Normalized ratio of aggressive buy orders vs sell orders, sourced from LTF footprint or synthetic body-to-wick estimation.
Utility: Identifying where "Smart Money" is actively committing capital in real-time.
3. TICK Data (Market Internals)
Engine: Exchange-wide breadth internals.
Index Mapping:
SPX/ES: NYSE:TICK
NQ/NDX: NASDAQ:TICKQ
Fidelity: Processes intrabar HT/LT extremes to capture high-speed institutional sweeps.
Commitment Levels: Benchmarked at 800 (MOO alignment), 1000 (Extreme), and 1200 (Climax).
4. Thermal Map (Structural Binning)
Engine: Range-based volume distribution (Heatmap).
Logic: 30-bin price-range analysis. Identifies if the current price is supported by "Buy Liquidity" below or capped by "Sell Liquidity" above.
Utility: Visualizing structural depth and identifying high-probability zones where price is likely to stick or bounce.
Interaction & Intelligence Modules
5. Interaction Tooltips
Engine: Dynamic string generator.
Logic: Aggregates pillars (V-Sync, TICK, Heatmap) and local interaction (Delta, OB Bias) into a human-readable forensic report.
Utility: Provides instant clarity on why a level is reacting (e.g., "Institutional Defense" vs "Passive Absorption").
6. Delta Aggregation (Defense vs Aggression)
Engine: Decaying session delta sum.
Logic: Tracks footprint delta at discrete price levels. Categorizes bias as:
Aggressive (A): Delta moves in the direction of the break (Push).
Defensive (D): Delta moves against the local price interaction (Absorption/Soaking).
Utility: Standardizing the interpretation of footprint across all Synapse indicators.
7. Universal Plot Auditing
Engine: Kinetic flux interaction logic.
Logic: Allows auditing of any technical plot line (Moving Averages, VWAP, Anchored Levels) for touches, cross-overs, and structural fidelity.
Utility: Enables the entire Synapse forensic suite to be applied to any existing indicator's data lines.
Library Architecture: Synapse_VSync_Lib
Key Functions
f_get_tick_source(): Auto-detects SPX vs NQ for correct internal sourcing.
f_calc_tick_extreme(): High-fidelity internal pressure tracking.
f_vsync_stack(): Blends all pillars into a weighted consensus.
HUD Representation
Indicators utilizing the full stack display V-STACK (instead of V-SYNC), signifying that Market Internals and Structural structural depth are being calculated alongside volume flow.
License: Open Source (MIT License) Library
