Futures Volume Profile - CFD ChartsCFD charts only show broker tick volume, which does not represent real market
participation. This indicator pulls REAL exchange volume from the matching
futures contract and builds a volume profile directly on your CFD chart.
What makes it original: standard volume-profile tools weight by the chart's
own (tick) volume. This one maps futures contract volume into CFD price
coordinates (price = CFD, weight = futures), accumulates the profile
incrementally so month anchors work without lookback limits, and can anchor
the session to the futures trading day instead of CFD broker midnight.
How it works:
- The futures contract is auto-detected from the chart symbol (DAX/GER40 ->
FDAX, NAS100 -> NQ, US30 -> YM, UK100 -> Z, US500 -> ES), or set manually.
- Each chart bar's price range is split into zones; the futures volume of that
bar is distributed across the zones it covers (price = CFD coordinates,
weight = futures volume — so the basis offset between CFD and futures is
handled naturally).
- The profile accumulates incrementally per anchor period (session/week/month)
and resets at the period change. POC (red), VAH/VAL (blue, dashed) and the
histogram update live.
- Optional "Daily anchor = futures trading day": the session reset fires at
the futures day change instead of the CFD broker midnight, so the profile is
anchored identically whether you chart the CFD or the future itself.
- Bars without futures data (e.g. overnight hours of a 24h CFD) contribute
nothing — mixing tick volume with contract volume would distort the profile.
The source label warns you when no futures data is available.
How to use it: treat POC/VAH/VAL as the real participation levels behind your
CFD chart — acceptance above the value area supports continuation, a rejection
back inside favors rotation toward the POC. Thick zones (HVN) act as magnets
and consolidation areas, thin zones (LVN) tend to be traversed quickly, which
makes them useful stop and target references. Zone width is ATR-derived by
default or fixed in points.
Индикатор
Volume Spike (POC) [LTW] v4📊 Volume Spike (POC) v4
This indicator captures and intuitively displays on the chart the exact moments when trading volume surges beyond a user-defined threshold ("n" times the average volume of the last "n" candles).
Without having to constantly look down at the complex volume bars at the bottom of your screen, you can identify powerful volume inflows directly on the candles themselves to build your trading strategies.
⚙️ Key Features & Customization
▪️ Flexible Period Settings (Default: 672)
By default, it calculates the average volume over 'one week (672 bars)' based on a 15-minute timeframe. You can freely adjust this period to match your trading style.
▪️ Intrabar POC Tracking & Smart Extension Lines (Newly Added)
It tracks the Point of Control (POC) within the volume-spiked candle down to lower timeframes (customizable by the user) and displays it as a horizontal line on the candle. If subsequent price action breaks or touches this POC price, an extension line is generated. This extension line is drawn only until the next volume-spiked candle appears. Since having too many automatic lines can become a distraction for chart analysis, we intentionally limited the extension—we recommend manually drawing further horizontal lines if you need to track historical POC levels longer.
▪️ Visual Optimization (Color & Size Adjustments)
Customize the color and size of the shapes displayed on the chart to match your personal chart theme (dark/light mode).
▪️ Keep Charts Clean (Limit Display to Recent "n" Bars)
Prevents the chart from becoming cluttered with excessive historical signals, which often happens on lower timeframes. You can limit the indicator to display only within the most recent "n" bars.
▪️ Candle Close-Based Alerts (Newly Added)
To prevent false breakouts and premature entries, alerts are triggered strictly based on the close of the candle. This completely prevents noise during candle formation and the phenomenon where signals disappear (repainting), allowing you to receive highly reliable alerts where the volume spike is finalized.
💡 How to Use & Trading Strategies
Provides intuitive candlestick analysis within continuous, powerful trends.
1. Identifying Trend Sustainability
After a new trend is formed by a marquee candle accompanied by large volume, sustaining that trend in the short term without a 'cool-down period' (corrective waves to ease overheating) requires consecutively larger volume. This indicator intuitively signals the continuation of such strong trends directly above or below the candles.
2. Overcoming One-Dimensional Divergence Errors
This helps you flexibly avoid one-dimensional divergence errors that often occur when relying solely on secondary indicators. By checking the actual volume directly at the top and bottom of the candles where volume surged, you can read the true strength of the market without being fooled by market fakeouts.
📌 Summary
A practical, all-in-one indicator that allows you to instantly verify high-volume surges on the candles themselves without the bottom volume panel, enabling you to intuitively gauge the strength of continuous, powerful trends. Through the newly added candle close-based alert feature and Intrabar POC tracking, you can receive highly reliable signals and visually monitor key liquidity levels without having to constantly watch the chart. Индикатор
Индикатор
Liquidity Trail Matrix [WillyAlgoTrader]📊 Liquidity Trail Matrix (LTM) is an overlay trend-following system that combines a four-band proportional ATR trailing stack, a 5-factor retest quality score (0–100), a non-repainting higher-timeframe bias filter, a range-distributed volume profile of the current trend segment (POC / Value Area / HVN / LVN), and a full trade engine with wick-anchored stops, three R-multiple targets, break-even automation and honest session statistics — all in one indicator.
The core insight: a single trailing stop line gives you a binary answer — "in trend" or "flipped". But price interacts with the liquidity zone around the trail in layers: shallow pullbacks, deep sweeps, and full reversals all look different. LTM replaces the single line with a graded four-band matrix, scores every pullback-and-reclaim by depth, candle quality, volume, higher-timeframe alignment and trend maturity, and overlays where volume actually accumulated during the current trend leg — so you can see whether a retest is landing on real acceptance (HVN / POC) or falling into a volume vacuum (LVN).
Works on all markets (crypto, forex, stocks, indices, commodities) and all timeframes. On zero-volume symbols the profile automatically switches to a range-weighted proxy.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A trailing stop alone tells you the trend direction but nothing about entry quality — every touch of the line looks the same. A volume profile alone shows you where volume traded but has no concept of trend regime or entry timing. A retest signal alone fires on any bounce, whether it happens in a mature trend with higher-timeframe support or in the dying bars of an exhausted move. Used separately, these tools leave you guessing.
LTM chains them into one pipeline:
ATR band stack → trend flip detection → pullback depth measurement → 5-factor quality scoring → HTF bias confirmation → trade engine (entry / SL / TP / BE) → segment volume profile context → session outcome tracking
The band stack defines the trend and, critically, grades how deep each pullback penetrates (Band 1 = shallow, Band 4 = extreme). That depth becomes the largest single component of the retest score. The score is then adjusted by the reclaim candle's close location, relative volume, trend age, and the higher-timeframe EMA-50 bias — five independent dimensions that a plain trailing stop cannot see. Every confirmed signal is handed to the trade engine, which places a structure-aware stop, three risk-multiple targets and manages break-even. Meanwhile the volume profile is rebuilt from the exact flip bar of the current trend, so POC, Value Area and LVN levels always describe this leg — telling you whether your entry sits on volume acceptance or in a vacuum. Finally, every closed trade feeds the on-chart statistics, so the dashboard shows how this exact configuration has behaved on this exact chart.
Remove any link and the chain breaks: without band depth there is no meaningful score; without the score every bounce is a signal; without the segment-anchored profile the volume context is stale; without the trade engine the signals have no defined risk; without stats you never learn whether the settings fit the instrument.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Proportional four-band trail geometry — spacing that scales with width.
Most multi-line trails use fixed offsets (base, base+1, base+2 ATR). LTM computes every band as a proportion of the base multiplier:
Band K distance = base × (1 + K_offset × step), giving four multipliers:
— m1 = base
— m2 = base × (1 + step)
— m3 = base × (1 + 2 × step)
— m4 = base × (1 + 3 × step)
With the default Balanced preset (base 4.0, step 0.25) that yields 4.0 / 5.0 / 6.0 / 7.0 ATR. Because spacing is proportional, the geometry of the stack stays visually and behaviorally consistent whether you run tight Scalping bands (2.5 × ATR, step 0.20) or wide Deep Trend bands (6.0 × ATR, step 0.30). Each band ratchets independently (max-lock in uptrends, min-lock in downtrends) and never loosens.
Why this matters: fixed +1/+2/+3 offsets make the stack proportionally "fat" at small base values and "thin" at large ones — proportional spacing keeps pullback depth grading meaningful at any width.
2️⃣ Selectable flip depth — you choose which band defines a reversal.
The trend flips only when price closes beyond a user-chosen band from the previous bar: Fast (Band 2), Balanced (Band 3, default) or Deep (Band 4). Comparing against the previous bar's band value prevents same-bar feedback between the flip and the band update. A warm-up guard (max(3 × ATR length, 60) bars) suppresses all signals until the ATR stack is statistically stable.
Why this matters: flip sensitivity becomes an explicit, single-purpose setting instead of an accidental side effect of band width.
3️⃣ 5-factor retest quality score (0–100) — every signal explains itself.
When price touches any band and then reclaims Band 1 with a directional candle inside the retest window (default 8 bars), LTM computes:
— 📐 Pullback depth (max 25) : Band 2 touch = 25, Band 3 = 18, Band 1 = 15, Band 4 = 10. The maximum touched depth during the pending window is used. Note the deliberate non-linearity: Band 2 scores highest — deep enough to reset liquidity, not deep enough to threaten the trend. Band 4 sweeps score lowest because they often precede full reversals.
— 🕯️ Reclaim candle (max 20) : close location value CLV = (close − low) / (high − low) for longs (mirrored for shorts). CLV > 0.7 → 20 points, > 0.5 → 12, else 5. A reclaim that closes near its extreme shows commitment.
— 📊 Volume (max 20) : current volume vs. the previous bar's 20-period SMA — the spike must not dampen itself by inflating its own average. Volume > 1.2 × baseline → 20, > 1.0 × → 12, else 5. Symbols without volume data receive a neutral 12.
— 🧭 HTF bias (max 20) : aligned with the higher-timeframe EMA-50 direction → 20, no HTF data → 10, against bias → 0.
— ⏳ Trend age (max 15) : 10–150 bars into the trend → 15 (mature, established), under 10 bars → 8 (unproven), over 150 → 5 (aging).
Signals print only when the total meets the Min Retest Score (default 80) and the shared anti-whipsaw cooldown (default 5 bars, deliberately shared across both directions) has elapsed. Every diamond label shows the score, and its tooltip breaks down all five components — no black-box signals.
4️⃣ Non-repainting higher-timeframe bias.
HTF bias compares the higher timeframe's previous closed bar close against its EMA-50, requested with confirmed-bar indexing so the value never changes retroactively. Bias is a soft score component (0/10/20 points), not a hard filter — counter-bias signals can still print if the other four factors are strong enough.
5️⃣ Segment volume profile — range-distributed, anchored to the live trend leg.
The profile is rebuilt on the last bar from the exact flip bar of the current trend (capped by Max Profile Bars, default 500) — no arbitrary lookback padding. Accumulation is range-distributed: each bar's volume is split across every price bin its high–low range overlaps, weighted by overlap fraction:
bin_volume += bar_volume × overlap(bin, bar_range) / (bar_high − bar_low)
This shows where volume actually traded, not where bars happened to close. From the histogram LTM derives:
— 🟡 POC — the highest-volume bin of the segment, drawn with price and volume label. The strongest magnet / defense level of this leg.
— 📦 Value Area (70%) — expanded symmetrically from POC by always adding the larger neighboring bin until 70% of segment volume is enclosed. VAH / VAL edges act as dynamic S/R.
— 📈 HVN — local volume peaks ≥ 0.55 × POC volume (configurable): acceptance shelves where price tends to stall.
— 🕳️ LVN — local troughs ≤ 0.30 × POC volume inside the Value Area (configurable): volume vacuums that price tends to travel through quickly. Each LVN is labeled and feeds a dedicated break alert.
On symbols with no volume feed (forex, some CFDs) the engine substitutes a true-range proxy per bar, so the profile stays structurally meaningful instead of failing.
6️⃣ Trade engine with strict signal-trade parity.
Every confirmed signal (scored retest or trend flip) acts, with unambiguous rules:
— flat → open a position in the signal direction
— opposite position → reverse (close and enter the new direction on the same bar)
— same-direction position → ignored (no pyramiding, no stop tampering)
There are exactly four closure paths: SL hit, break-even stop-out, TP3 touch, or reversal by an opposite signal. Hit detection uses three safety guards: an entry-bar guard (SL/TP are never evaluated on the entry bar itself), a pessimistic same-bar rule (if a bar touches both SL and a TP, the SL wins — statistics never get the benefit of the doubt), and a break-even latency rule (a stop moved to break-even mid-bar cannot trigger on that same bar — the engine checks against the bar-start stop value).
7️⃣ Wick-anchored stop-loss mode.
Two SL modes at entry:
— Wick-Anchored (default) : SL = signal bar's wick extreme ± 0.25 × ATR buffer, with a minimum distance of 0.5 × ATR enforced. The stop hides behind the structure that produced the signal instead of floating at an arbitrary distance.
— ATR : classic fixed SL Multiplier × ATR from entry.
TP1 / TP2 / TP3 are pure risk multiples of the actual SL distance (defaults 1R / 2R / 3R), so the reward structure automatically adapts to how much room the stop needed. Four risk presets (Conservative 2.5 × ATR SL, TP 1/2/4R; Balanced 1.5, TP 1/2/3R; Aggressive 1.0, TP 1.5/2.5/4R; Scalping 0.8, TP 0.8/1.5/2R) plus full Custom control. Optional break-even moves the stop to entry after TP1.
8️⃣ Honest session statistics with a fixed win definition.
A closed trade counts as a win only if TP1 was touched before closure — including break-even stop-outs after TP1 (you banked at least 1R or protected the position). Everything else is a loss, including reversals that never reached TP1. The dashboard shows closed trades, W/L, win rate with a ▰▱ gauge, and a "Form" strip of the last 10 outcomes. Stats are session-scoped and reset on chart reload — this is transparent live tracking of the current settings on the current chart, not a backtest report.
9️⃣ Trend P&L tracker and theme-aware visual system.
An optional floating label follows price in real time and shows the directional % move since the current trend flip (a falling bear trend shows positive %), anchored by a dotted baseline at the trend start price. The label turns red when the trend is under water. The entire visual layer — band transparencies, heatmap fills, dashboard, profile, SL/TP palette — has separate Dark and Light calibrations (Auto-detected from the chart background), because bright hues that look right on dark charts wash out on white ones. TP lines recolor to solid teal with a ✓ when touched; the SL line dims and the entry label annotates "→ SL (BE)" when break-even activates. SL/TP lines persist after the trade closes as a visual record until the next entry replaces them.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Band geometry: The preset (or Custom inputs) resolves the base multiplier and proportional step; four multipliers m1–m4 are derived and multiplied by ATR (default length 13).
Step 2 — Ratcheting trail: In an uptrend each band only rises (max-lock); in a downtrend only falls (min-lock). On a flip the whole stack re-seeds on the opposite side of price.
Step 3 — Flip detection: A close beyond the previous bar's value of the chosen flip band (2/3/4) reverses the trend state. Flip labels print on confirmed bars after the warm-up period.
Step 4 — Pullback tracking: Any touch of Band 1–4 against the trend arms a pending retest with its maximum depth, valid for the retest window; pendings decay each bar and are voided on a flip.
Step 5 — Reclaim and scoring: A directional close back beyond Band 1 triggers scoring: depth (25) + candle (20) + volume (20) + HTF bias (20) + trend age (15). Score ≥ threshold and cooldown elapsed → confirmed signal on bar close.
Step 6 — Trade engine: The signal opens or reverses a position; SL is placed (wick-anchored or ATR), TP1–TP3 are projected as risk multiples; break-even, TP recolors and the four closure paths are managed bar by bar with pessimistic resolution.
Step 7 — Segment profile: On the last bar the profile is rebuilt from the flip bar: range-distributed accumulation → POC → 70% Value Area expansion → HVN/LVN detection → drawing.
Step 8 — Reporting: The dashboard updates trend state, signal state, profile levels, live trade card and session statistics; alerts fire on bar close in within-bar chronological order (management → closures → reversal → entries → info).
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to your chart and pick a Band Width Preset: Scalping for 1–15M, Balanced for most timeframes, Deep Trend for D–W position trading.
2. Set the Higher Timeframe Bias one or two steps above your chart (e.g. 1H while trading 15M).
3. Choose a Risk Preset that matches your style, or leave Balanced.
4. Watch the dashboard: Trend + HTF Bias aligned means you only consider signals in that direction with full conviction; the retest diamonds do the timing.
5. After 15–20 closed trades, read the Stats section and tune Min Retest Score up (fewer, cleaner signals) or down (more signals) for your instrument.
👁️ Reading the chart:
— 🟢 / 🔴 Band stack + heatmap = the liquidity trail zone; the deeper the fill, the closer price is to a trend flip.
— ◆ diamond with a number = confirmed scored retest entry (the number is the 0–100 quality score; hover the tooltip for the full component breakdown).
— ▲ / ▼ FLIP = confirmed trend reversal through the chosen flip band.
— Long ▲ / Short ▼ = trade entry taken by the engine on a flip (printed when there is no retest diamond on the same bar, so every entry is visibly marked).
— ENTRY / SL / TP1–TP3 lines = the live trade card; TP lines turn solid teal with ✓ when touched; a dimmed SL with "→ SL (BE)" on the entry label means the stop sits at break-even.
— 🟡 POC line = highest-volume price of the current trend leg; dashed VAH/VAL = Value Area edges; LVN labels = volume vacuums inside the Value Area.
— ▲ +X.XX% floating label (optional) = real-time directional P&L of the current trend since the flip.
📊 Dashboard fields:
— Trend / Age : direction of the band stack and bars since the last flip.
— HTF Bias : higher-timeframe EMA-50 direction (soft score component).
— Signal : current engine position — LONG, SHORT or Wait.
— Last signal : most recent event, its score, and bars elapsed.
— POC / VA High / VA Low : live segment profile levels.
— Entry / SL / TP1–TP3 / R:R / SL Dist % : the open trade card ("BE @" marks a break-even stop; ✓ marks touched targets); collapses to one row when flat.
— Trades / W-L / Win rate / Form : session statistics; ▰ = win, ▱ = loss, newest on the right.
🔧 Tuning guide:
— Too many weak signals: raise Min Retest Score toward 85–90, or increase Signal Cooldown.
— Too few signals: lower Min Retest Score toward 55–65, or widen the Retest Window to 10.
— Whipsaw flips on a choppy symbol: switch Flip Band to Deep (Band 4) or move to the Deep Trend preset.
— Flips lag too far behind on fast moves: Flip Band → Fast (Band 2) or the Scalping preset.
— Stops feel too tight / too wide: switch SL Mode between Wick-Anchored and ATR, or change the Risk Preset; on volatile symbols prefer Conservative.
— Profile looks coarse on long trends: raise Profile Rows to 50+ and Max Profile Bars toward 800.
— Counter-trend retests keep printing: set an explicit Higher Timeframe Bias — counter-bias signals lose 20 points and rarely clear a high threshold.
⚙️ KEY SETTINGS
⚙️ Trend Engine:
— Band Width Preset (default Balanced): Scalping 2.5 × ATR / step 0.20, Balanced 4.0 / 0.25, Deep Trend 6.0 / 0.30, or Custom.
— Base Multiplier (default 5.0) and Band Spacing (default 0.25): manual geometry, active in Custom preset only.
— ATR Length (default 13): lookback for band-width ATR.
— Source (default close): price series for trailing and flips.
— Flip Band (default Balanced / Band 3): which band a close must breach to flip the trend.
— Higher Timeframe Bias (default empty = chart TF): HTF for EMA-50 bias scoring.
🎯 Signals:
— Min Retest Score (default 80): 0–100 quality threshold for retest diamonds.
— Retest Window (default 8 bars): how long a band touch stays armed for a reclaim.
— Signal Cooldown (default 5 bars): minimum spacing between signals, shared across directions.
📦 Volume Profile:
— Show Segment Volume Profile (on), Profile Rows (30), Profile Width (34 bars), Max Profile Bars (500).
— Show POC (on), Show Value Area 70% (on), Show HVN / LVN Levels (on), Profile Label Size (Small).
🛡️ Risk Management:
— Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom.
— SL Mode (default Wick-Anchored): structure-aware wick stop vs. fixed ATR distance.
— ATR Length (Risk) (14), SL Multiplier (1.5), TP1 / TP2 / TP3 Multipliers (1.0 / 2.0 / 3.0 × risk) — Custom preset.
— Break-Even After TP1 (on): stop moves to entry once TP1 is touched.
— Show SL/TP Lines / Labels / % Distance and per-line style controls (Entry dotted, SL solid, TP dashed by default).
🎨 Visual:
— Theme (Auto / Dark / Light), Show Trail Bands , Show Band Heatmap Fill , Show Retest Signals , Show Flip Labels , Show Trend P&L Tracker (off by default), label size controls, watermark toggle, Bull / Bear color pickers.
📊 Dashboard:
— Show Dashboard (on), position (5 anchors), font size, and independent toggles for the Market, Profile, Trade and Stats sections.
🔧 Advanced:
— HVN Threshold (default 0.55 × POC volume): minimum relative volume for an acceptance node.
— LVN Threshold (default 0.30 × POC volume): maximum relative volume for a vacuum node.
🔔 ALERTS
— 🟢 LONG ENTRY / 🔴 SHORT ENTRY — ticker, timeframe, price, signal score, SL, TP1–TP3, R:R. Plain text or JSON webhook format ({"action":"buy"...}) for bot integrations.
— 🎯 TP1 / TP2 / TP3 HIT — target touches with prices (optional).
— 🛡️ BREAK-EVEN — stop moved to entry after TP1 (optional).
— 🛑 SL HIT / BE STOP-OUT — stop-loss trigger with direction, entry and stop prices; a distinct BE variant when the stop was at break-even.
— 🔄 REVERSAL — position reversed by an opposite signal, with the closed trade's outcome (after / before TP1).
— ▲ / ▼ TREND FLIP — informational flips that did not open or reverse a trade.
— ⚡ LVN BREAK — a close crossing a Low Volume Node of the live segment profile (price entering a volume vacuum often accelerates).
All alerts fire once per bar close. Alerts are ordered by within-bar chronology: trade management → closures → reversal → new entries → informational.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals, entries and alerts are confirmed on bar close (barstate.isconfirmed). The trend flip compares against the previous bar's band value. The HTF bias uses the higher timeframe's previous closed bar, so its value never changes retroactively. A warm-up guard suppresses signals for the first max(3 × ATR length, 60) bars.
— 📐 The segment volume profile is a live construct. It is redrawn on the last bar for the current trend leg and evolves as the leg grows — this is by design (it describes the present segment), and historical profile states are not preserved.
— 📊 Session statistics reset on chart reload. They are transparent live tracking of the current settings on the current symbol and timeframe — not a backtest, and past performance does not guarantee future results.
— ⚖️ Same-bar ambiguity is resolved pessimistically. If one bar touches both a stop and a target, the stop wins in the statistics. Intrabar sequence cannot be known from OHLC data, so the engine never gives itself the benefit of the doubt.
— 🕳️ Zero-volume symbols use a range-weighted proxy for the profile, and the volume score component defaults to a neutral value — profile shapes on such symbols reflect price dwell time, not traded volume.
— 🛠️ This is an analysis and trade-planning tool, not an automated trading bot. It detects trend state, scores retests, projects stops and targets, and tracks outcomes — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Индикатор
Footprint Master Pane [ZynAlgo]Overview
ZynAlgo Footprint Master Pane is an order-flow and footprint-style volume analysis indicator designed to help traders study micro-liquidity behavior inside each candlestick.
The tool displays intrabar volume-side activity as a matrix-style Footprint Profile in a separate pane. Instead of only observing open, high, low, and close movement, traders can study where buying and selling pressure appears across different price levels inside recent candles.
This can help users evaluate:
Intrabar volume concentration
Buy-side and sell-side pressure
Delta behavior inside each candle
Point of Control placement
Liquidity concentration at candle highs and lows
Potential absorption or exhaustion behavior
Chart example:
How to Read the Footprint Matrix
Each data block on the chart is displayed in this format:
Bid | Ask
Price Level
The price level represented by that row of the footprint matrix.
Bid - Left Number
Represents sell-side volume activity classified by the script for that price level.
Ask - Right Number
Represents buy-side volume activity classified by the script for that price level.
Background Color - Heatmap
The higher the volume at a price level, the stronger the heatmap intensity.
Default color logic:
Cyan: buy-side activity is dominant at that price level.
Pink: sell-side activity is dominant at that price level.
Gray: low or inactive liquidity area.
Key Highlights
POC - Point of Control
The Point of Control is the price level with the highest total trading volume within the selected candlestick.
It is displayed as the gold zone and represents the main volume concentration area for that candle.
Footer Metrics
The bottom of each footprint column displays summary data for the candle.
Delta
Delta represents the net difference between buy-side and sell-side volume activity.
A positive delta indicates that buy-side pressure is dominant. A negative delta indicates that sell-side pressure is dominant.
Total Volume
Total volume represents the combined volume activity for the entire candlestick.
Configuration Settings
1. Order Flow Engine
Intrabar Timeframe
Defines the lower timeframe used by the tool to extract intrabar volume information.
Lower intrabar timeframes can provide more detailed footprint construction, while higher intrabar timeframes may produce a smoother and lighter display.
Stack Levels - Height
Controls how many price levels each candlestick is divided into.
Higher values:
Show more footprint detail
Create a finer price-level breakdown
May increase chart processing load
Lower values:
Create a simpler footprint view
Reduce visual density
May run more smoothly on slower charts
Auto Detect Asset - Smart Grid
When enabled, the system attempts to measure the current asset's volatility and calculate an appropriate grid size automatically.
This is useful when switching between markets such as gold, crypto, forex, indices, or stocks.
Manual Tick Size
When Auto Detect Asset is disabled, users can manually define the tick or grid size.
This can be useful when a symbol requires a custom footprint scale.
2. Pane Visuals
Recent Bars to Render
Controls how many recent candles are displayed in detailed footprint form.
Limiting the number of rendered candles can help keep the chart responsive on TradingView.
Color Customization
Users can customize the colors for:
Buy-side activity
Sell-side activity
Point of Control zone
Heatmap display
This allows the footprint pane to match different chart themes and visual preferences.
Basic Analytical Applications
1. Absorption Observation
When price approaches a key support or resistance area, footprint data can help traders study whether one side of the market is being absorbed.
For example, if a bearish candle shows positive delta and large volume near the lower part of the candle, it may suggest that sell pressure is being absorbed by buy-side participation.
2. POC Migration
Point of Control migration can help traders evaluate where value is shifting across consecutive candles.
In an uptrend, POC zones that continue to migrate higher may suggest that market participation is accepting higher prices.
3. Liquidity at Highs and Lows
Traders can inspect volume activity near candle highs and lows to study exhaustion behavior.
For example, if price reaches a new high but the top levels show very low participation, that may indicate weaker continuation pressure.
How to Use
Add the indicator to the chart.
Choose an intrabar timeframe suitable for the chart timeframe and market.
Adjust stack levels to control footprint detail.
Use the heatmap to identify price levels with stronger participation.
Monitor the POC to study where volume concentration forms inside each candle.
Compare delta and total volume to evaluate buy-side or sell-side pressure.
Combine footprint observations with market structure, support and resistance, liquidity zones, and risk planning.
Best Use Cases
This indicator may be useful for:
Order-flow style analysis
Footprint chart reading
Intrabar volume analysis
Delta observation
Point of Control tracking
Absorption study
Exhaustion analysis
Liquidity-zone confirmation
Limitations
Footprint values depend on the intrabar data available from TradingView for the selected symbol and timeframe.
The Bid and Ask display is based on the script's volume-side classification logic and should be interpreted as analytical volume-side data.
Lower intrabar timeframes may provide more detail but can increase processing load.
A footprint imbalance does not guarantee price continuation or reversal.
The indicator does not provide automatic trade entries, exits, or position management.
Past order-flow or footprint behavior does not guarantee future results.
Important Note
This indicator is an analysis tool only. It does not provide financial advice, investment advice, or guaranteed trading results. Users are responsible for their own trading decisions and risk management.
Индикатор
Auction & Liquidity Command Center Volume Profile, MeasuredAuction & Liquidity Command Center — Volume Profile, Measured
The levels traders already use — prior POC, value area, naked POCs, prior day high/low, session AVWAP, HVN/LVN — each scored by its measured reaction on this chart: how often price rejects vs breaks, and what the fade has been worth in R. Levels with evidence, not levels with vibes. Never a buy or sell.
What it does
Every structure tool draws levels. None of them measures what happens when price gets there. This tool builds the session-anchored auction map with profile-grade accuracy, detects qualified touches of every level, resolves each touch through a triple-barrier outcome, and pools the results by level TYPE into a live scoreboard: pPOC +0.01R · rej 50% · n156. You see not just where the levels are, but which kinds of levels have actually meant something on this chart — and which are coin flips.
The components, and why they are combined
This is a deliberate synthesis of four parts, each covering the previous one's weakness:
A profile-grade level engine (Market Profile — J. P. Steidlmayer). Nine level types from the session volume-at-price profile and session extremes: prior POC, prior VAH/VAL (classical two-row 70% expansion), naked POCs (prior POCs never revisited), prior day high/low, the session's anchored VWAP, and HVN/LVN volume nodes (prominence-filtered local extremes). Accuracy choices: each bar's volume is distributed range-proportionally across the rows it overlaps (not binned at one point); POC ties break toward the session center. Weakness left open: a drawn level says nothing about whether it matters.
A qualified-touch detector. A level must be ARMED — price fully away from it by at least k×ATR — before a touch of it can count, and it disarms after every touch. Chop sitting on a line cannot enter the record. Approach direction is stored with every event. Weakness left open: a touch is not an outcome.
Triple-barrier outcome resolution (outcome labelling — M. López de Prado). From each touch: REJECT if price moves m×ATR back the way it came first, BREAK if it moves m×ATR through first, TIMEOUT after T bars. Purity rules: barriers are fixed at the ATR of the touch moment; evaluation starts the bar after the touch; a bar hitting both barriers is a timeout, never a guess. Weakness left open: one level's history is n = 1.
Per-TYPE pooling with honesty gates. Statistics pool by level type, never by individual line — a type is a real sample. A type shows no score until a minimum number of its touches have resolved (default 20); until then it reads BUILDING with its count. Timeouts are reported in n but excluded from the reject/break ratio. Fade expectancy = (rejects − breaks) / (rejects + breaks), in R.
How to read it
Rails are colored and styled by type (solid profile levels, dashed day levels, dotted volume nodes, violet naked POCs); each label carries its type's live score or its BUILDING count.
Evidence on the chart: a gray • at every qualified touch, then ○ (teal) where the touch rejected and ✕ (amber) where it broke. Every number on the scoreboard can be audited against the chart.
Dashboard: nearest level and its score, with a plain-language verdict (tends to hold / coin flip / tends to break) so the read needs no statistics background; per-type scoreboard (fade R · reject % · n) for all nine types; touch counts; the exact engine settings in the NOTE row.
Honest expectations: most types on most charts score near zero — that is the truthful baseline, and seeing it protects you from folklore. The value is in the exceptions this chart's own history reveals (for example, day extremes often carry a modest positive fade expectancy while POC retests are a coin flip), and in knowing the difference.
How to use it
Use the scoreboard to weight your own playbook: give more respect to touches of types that have measured well here, less to types that grade as noise — and size accordingly. The "Touch of a MEASURED level" alert fires only when price reaches a type with a real sample behind it. This is context about where price reactions have had structure — never a direction, never an entry signal.
Non-repaint & universality
Profiles, POC/VA/nodes and day levels commit only at session close on confirmed bars; touches and outcomes resolve on confirmed bars; the AVWAP is cumulative within its session. Nothing repaints. The script requests no external data of any kind — no lower timeframes, no security calls — so it runs identically on every plan and every symbol with volume.
Use on any market
Volume source, profile rows, value-area %, node thresholds, arm distance, barriers and sample gates are all inputs. Defaults suit liquid intraday index futures; intraday timeframes give the engine the most touches to learn from.
Originality & credits
The synthesis — a range-proportional session profile, qualified-touch detection, touch-time-ATR triple-barrier outcomes, and per-type pooled reaction statistics displayed as a live scoreboard — is original work for this publication. Concept credits: Market Profile / point of control / value area — J. Peter Steidlmayer; naked (virgin) POC — market-profile literature; anchored VWAP — as popularised in modern trading literature; triple-barrier outcome labelling — M. López de Prado. Implementation and charting design are the author's own.
Disclaimer
Research and education only. NOT financial advice, NOT a signal service, NOT a guarantee of future results. Reaction statistics are empirical frequencies from this chart's limited history, pooled per level type; they change with regime and sample, and a positive expectancy is not a promise. Validate independently and manage your own risk. Индикатор
Naked POC Magnetism Fill Probability & Median WaitNaked POC Magnetism — Fill Probability & Median Wait
What it is
A naked POC is the highest-volume price of a past session that price has not revisited since. Traders treat them as magnets — but "it usually gets filled" is folklore until it's measured. This tool measures it. Every historical naked level on your chart becomes a data point (how many sessions it survived before being touched, or whether it never was), and a survival model (discrete-hazard life table) turns that history into, for each live naked level: the probability it fills within the next N sessions and the median wait. Levels are drawn with their measured magnetism, not just their location.
How the statistics work — and their honest limits
Each session's volume-at-price profile is built from that session's bars; at session close the peak-volume price (POC) becomes a naked level.
A level is filled the first time a later bar's range touches it; its age in sessions at that moment is one observation. Levels removed unfilled (history cap) are censored at their age — counted as "survived this long," never as fills. This is the standard treatment of incomplete observations from survival analysis (Kaplan–Meier 1958; classical life tables).
Hazard at age j = fills at age j ÷ levels at risk at age j. Survival multiplies (1 − hazard) across ages; fill-probability within a horizon and the median wait follow directly.
Reliability gates, enforced not footnoted: no probability is displayed until a minimum number of levels have resolved (input, default 20) — until then the tool says BUILDING and shows only counts. And hazard estimates at ages with fewer than 5 at-risk observations are truncated rather than trusted, per standard life-table convention.
Probabilities are empirical frequencies from this symbol and timeframe's own history — they change with regime and sample, and a 70% is not a promise.
Seeing the evidence
Every historical fill prints a small ◈ marker where a naked level was touched — the resolved observations the probabilities are measured from, visible on the chart rather than hidden in a table.
The dashboard shows both the NEAREST level and the STRONGEST magnet (highest fill probability) — they are often not the same level, and the strongest one is the better answer to "where is price most drawn".
An honest design note: this tool deliberately has NO multi-timeframe stack and NO state-debounce, unlike its siblings in this suite — sessions are the model's clock regardless of chart timeframe (a higher-timeframe copy would measure the same sessions with coarser bins), and nothing here chatters (levels are born at session close and resolve on touch). Features are added where they inform, not everywhere.
How to use it
Add to a liquid intraday chart; 5m–15m gives the model the most sessions to learn from. Let it run until the dashboard reads MEASURED.
Each rail is labelled like "NPOC 24512 · 68% /5s · med 3s" — the measured chance it fills within the horizon and the median sessions historically needed. Warm, saturated rails = strong magnets; faded = weak or unrated.
The dashboard shows the nearest level's read and — deliberately — the sample size behind every number.
Use magnetism as context about where price is drawn (targets, fade zones, expectations management), never as an entry signal by itself.
What makes it original
Naked-POC indicators draw lines. This one attaches a measured fill-probability and expected wait to each line, estimated with a proper survival model that handles censoring and refuses to show numbers it can't support. Turning a folklore level into a level with a live, honest statistic is the contribution.
Concept credits
Market Profile / point of control — J. Peter Steidlmayer. Naked (virgin) POC — market-profile trading literature. Survival estimation from incomplete observations — E. L. Kaplan & P. Meier (1958); classical life-table method. 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. Fill probabilities are empirical frequencies measured on this chart's limited history. Validate independently and manage your own risk. Индикатор
Volume Profile Supertrend [HexaTrades]Volume Profile Supertrend re-imagines the classic Supertrend. Instead of trailing bands built from pure volatility (ATR), it builds them around the levels where real volume has traded the Point of Control and Value Area.
The philosophy is simple: a normal Supertrend follows volatility; this one follows where the market accepts value. Price tends to gravitate to, and trend away from, the zones where the most business gets done. By anchoring the trend engine to value migration, the indicator aims to stay on the right side of the move while filtering out a portion of low-quality volatility noise.
Everything is computed internally in Pine; no built-in Volume Profile tool is used, so it works on any symbol and timeframe that has volume.
💡How it works
1. Rolling Volume Profile:
It looks back over the last Profile Lookback bars, finds the high–low range, and divides it into Number of Rows price buckets. Every historical bar's volume is distributed across the buckets its range spans, producing a fresh volume distribution on every candle.
2. POC, VAH & VAL:
POC (Point of Control) : the price bucket with the highest traded volume (the "fairest price").
Value Area: the script expands outward from the POC until it captures the chosen Value Area % (default 70%) of total volume.
VAH / VAL: the upper and lower edges of that Value Area.
3. Smoothing & Supertrend bands:
POC, VAH, and VAL are smoothed with EMAs to remove jitter. Two trailing bands are then built, exactly like a Supertrend:
Lower band = smoothed VAL − (ATR × buffer) → support used while bullish.
Upper band = smoothed VAH + (ATR × buffer) → resistance used while bearish.
The bands only trail in the trend-following direction, so they lock in as the price advances.
4. Trend flip:
The trend is bullish while price holds above the lower band, and flips bearish when price closes below it (and vice-versa). The flip is evaluated against the previous bar's confirmed bands, so closed candles never change.
💡How to read it
🔶Bullish:A green line sits below the price. The market is accepting a higher value; treat pullbacks toward the line as the trend "breathing." A flip to red is your warning.
🔶Bearish: A red line sits above the price. Value is migrating lower; rallies into the line are where sellers tend to re-engage. A flip to green signals a potential turn.
🔶Choppy Markets: When price is inside the value area and trend strength is low, the market may be sideways.
In these conditions, signals can be weaker. It may be better to wait for a clear value breakout or stronger trend strength.
🔺Signals
- BUY label prints when the trend flips from bearish to bullish.
- SELL label prints when the trend flips from bullish to bearish.
- A flip dot marks the exact bar of the change on the trend line.
- Trend Strength Filter: Set Minimum Trend Strength above 0 to filter out weak trend flips and display only higher-conviction signals. (Available in the indicator settings.)
┼ Dashboard
-Trend: Current direction Bullish or Bearish.
-Strength: 0–100% conviction score blending distance from POC, POC slope, and whether price has broken outside the Value Area.
-Price Position: Above / Inside / Below Value Area.
-Last Signal: The most recent BUY or SELL that fired.
Alerts
The indicator includes alerts for important events:
-Buy Signal / Sell Signal
-Bullish Trend / Bearish Trend (flip)
-Price Above Value Area / Price Below Value Area
-Price Crossing POC EMA
Suggested Settings
For Intraday Trading
Use lower lookback and medium rows for faster signals.
Example:
-Profile Lookback: 50–100
-Rows: 30–50
-EMA Smoothing: 8–14
-ATR Buffer: 0.5–1.0
For Swing trading
Use higher lookback and smoother settings for cleaner signals.
Example:
-Profile Lookback: 100–250
-Rows: 40–70
-EMA Smoothing: 10–21
-ATR Buffer: 0.8–1.5
For Cleaner Signals
-Increase EMA Smoothing Length
-AIncrease TR Buffer
-Increase Minimum Trend Strength
Volume Profile Supertrend combines the proven structure of a Supertrend with the market's true area of value derived from a rolling Volume Profile. Instead of relying solely on price volatility, it follows the migration of value through the Point of Control (POC) and Value Area (VAH/VAL) to identify higher-quality trend changes.
Whether you're a day trader or swing trader, this indicator helps you visualize trend direction, identify dynamic support and resistance, filter weak reversals, and stay aligned with the prevailing market structure. Use it as a standalone trend-following tool or alongside your existing trading strategy for additional confirmation.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It is not financial advice. Trading involves risk. Always use proper risk management and combine this indicator with your own analysis before taking any trade.
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Liquidity & Structure Toolkit [erdensedat] The Liquidity & Structure Toolkit is a comprehensive, all-in-one indicator designed for Smart Money Concepts (SMC), Volume Profile analysis, and overall market structure tracking. It aims to provide traders with a clear visual representation of liquidity zones, structural breaks, session balances, and high-volume nodes without cluttering the chart.
Below is a detailed breakdown of all the features, the math and logic behind the setups, the signal engine, and the alert systems included in this script.
1. Major Targets (Liquidity Pools - BSL/SSL)
The script identifies major structural high and low points that act as liquidity magnets (Buy Side Liquidity - BSL and Sell Side Liquidity - SSL).
Formula & Logic: It uses the ta.pivothigh() and ta.pivotlow() functions. A "Major Target" is confirmed only when the price forms a peak/valley with a user-defined Pivot Sensitivity (default is 10 bars on the left and right).
Visualization: When a major pivot is formed, a horizontal line and a label ("MAJOR BSL" or "MAJOR SSL") are drawn.
Sweep Mechanics: If the price crosses this level later, the level is considered "swept." The solid line turns into a dashed line with lower opacity, indicating that the liquidity has been taken. Swept levels are automatically removed after 24 hours to keep the chart clean.
2. Market Structure Breaks (BOS / CHoCH)
This module tracks internal and external structural shifts based on fractal highs and lows.
Logic: It calculates short-term pivots using a fractal length (default 5). When the price breaks above a recent pivot high, it's considered an upward break. When it breaks below a pivot low, it's a downward break.
BOS vs. CHoCH: The script intelligently labels the breaks based on the previous trend state. If the trend continues (e.g., up break followed by another up break), it labels it as BOS (Break of Structure). If the direction shifts (e.g., down break followed by an up break), it labels it as CHoCH (Change of Character).
Settings: You can choose whether a break requires a candle close beyond the level (Break = Close Beyond Level) or just a wick.
3. Initial Balance (IB) Box
The Initial Balance represents the price range established during the first specified minutes of a new trading session.
Setup: You define the Session Timeframe (e.g., Daily) and the IB Duration (e.g., the first 60 minutes).
Logic: The script tracks the highest high (IBH) and lowest low (IBL) during that initial window. Once the time window closes, the box extends to the right, serving as a dynamic support/resistance zone for the rest of the session.
Visualization: Highlights the IB High, IB Low, and IB Equilibrium (Midpoint) with clean labels and a customizable background box.
4. Volume Profile & POC Box (Point of Control)
A custom Volume Profile engine that calculates the highest volume node (POC) dynamically using lower timeframe data.
Lower Timeframe (LTF) Data: The script automatically fetches lower timeframe volume data (1m, 5m, 15m, or 60m depending on your chart's timeframe) to build an accurate profile inside a custom array matrix.
Rows/Bins: The session range is divided into horizontal bins (default 60). Volume is distributed among these bins based on where the LTF candles traded.
POC Engine Models:
Model 1 (Active POC): Displays the active, evolving POC of the current session as well as historical POCs from previous sessions. Uses a Hysteresis percentage (default 15%) to prevent the POC line from flickering rapidly; the new volume node must exceed the old POC by X% to shift the level.
Model 2 (Previous POC Focus): Instead of showing the actively changing current POC, it projects the finalized POC from the previous session starting from its original birth point, extending it across the current session as a heavy structural magnet.
Delta Lines: Inside the POC box, it plots the highest volume node and its immediate neighboring nodes (top, mid, bot) to show the thickness of the volume cluster.
5. Price Action & MSB Signal Engine
The script includes an automated signal engine that identifies highly probable reversal setups around the liquidity zones.
Price Action (PA) Signals: Triggered when the price "touches" or sweeps a Major BSL or SSL level, and subsequently prints a valid directional candle (e.g., sweeping SSL and printing a solid green candle that is not a Doji).
MSB (Market Structure Break) Signals: Triggered when the price sweeps a major liquidity level (BSL/SSL) and then creates a confirmed structural break (BOS/CHoCH) in the opposite direction.
Visualization: Triangle shapes are plotted above/below the signal candles (Green for Buy, Red for Sell).
6. Moving Averages & VWAP
For trend filtering and dynamic support/resistance, the toolkit includes optional traditional indicators:
VWAP: Session-based Volume Weighted Average Price.
Customizable MAs: Up to 5 moving averages can be toggled on/off. Supported types include SMA, EMA, WMA, HMA, and VWMA. Each can have its own length and color settings.
7. Alerts System
The indicator features a built-in alert system for the signal engine.
PA Signal Alert: Fires whenever a valid Price Action bounce occurs at a BSL/SSL level.
MSB Signal Alert: Fires whenever a structural reversal is confirmed after a liquidity sweep.
How to use: Create an alert in TradingView, select this indicator, and choose "Any alert() function call".
Disclaimer
This indicator is for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Trading cryptocurrencies, forex, and stocks carries a high level of risk. Always perform your own backtesting, use proper risk management, and consult with a certified financial advisor before making any trading decisions. Индикатор
Whale Absorption Profile [JOAT]WHALE ABSORPTION PROFILE
The flagship orderflow visual in the JOAT suite. A complete institutional-grade footprint dashboard — heatmap candle strips, horizontal volume profile, delta ladder, side histogram, POC/VAH/VAL lines, and whale / absorption / imbalance glyphs — all driven by the same underlying lower-timeframe-reconstructed intrabar data and rendered in a curated asthetics. Built to give you the entire auction picture in one indicator, on chart, without a dedicated orderflow platform.
Six visual layers, one engine
Every layer reads from the same intrabar data pipeline. The pipeline uses request.security_lower_tf at a configurable LTF (1m / 3m / 5m / 15m / 30m) to sample sub-bar prints, classifies each via the standard tick rule, then buckets the classified volume into a price-binned profile (configurable rows, default 50). Every layer below reads from those bins.
Heatmap candle strips — the body of each recent chart candle is overlaid with horizontal heat slices coloured along an absorption-intensity ramp (deep blue → indigo → violet → magenta → gold). At a glance you can see where, inside each bar, the auction happened.
Horizontal volume profile — a classic side profile of total volume per bin, rendered with split buy/sell colour so you can read which side dominated each price.
Delta ladder column — a vertical ladder of per-bin delta (buy − sell), positionable to any of nine corners on the chart. Drawn as a horizontal-going-left-to-right cell array so it never collides with the dashboard.
Side volume histogram — a compact buy/sell volume histogram aligned to the profile bins, for traders who want a second view of side-share that is not contaminated by total volume.
POC / VAH / VAL lines — the Point of Control, Value Area High, and Value Area Low computed from the profile and rendered as horizontal lines that extend right of the latest bar.
Whale / Absorption / Imbalance glyphs — three separate detection layers (described below) each render a distinct on-chart glyph at the bin where their condition fires.
A Lite Mode toggle disables the heaviest layers (heatmap strips + side histogram) for low-end machines or multi-indicator stacking.
Three orthogonal detection layers
Whale Print — a bin qualifies as a whale row when total bin volume is above a configurable percentile (default 95th of the bin distribution) and is above the whale-delta threshold (default 70%). Both gates: large and one-sided.
Absorption Zone — score = min(buy, sell) / (priceMovement + ε) . High when both sides traded heavily but price did not move — the classic limit-order-absorption signature. A bin qualifies when its absorption score exceeds the configurable percentile (default 90th).
Imbalance Spike — a bin qualifies when one side's volume is at least N× the other (default 3.0×). The standard footprint imbalance ratio.
These three are deliberately separate — a single price can be a whale row, an absorption zone, and an imbalance spike at once, in which case all three glyphs fire and you have a textbook stacked-signature read.
POC shift alert
The Point of Control's bar-to-bar bin-distance is tracked. When the POC jumps more than the configurable POC Shift: Bin Distance Trigger (default 2 bins) between consecutive bars, the POC Shift alert fires — the auction's value has rotated price levels, which is the most actionable single regime-change signal a profile produces.
Visual aesthetic
A locked institutional palette: cyan-teal bull (#5CF0D7), magenta bear (#FF4D75), and a signature absorption ramp — deep void → ultramarine → indigo → violet → magenta → gold — designed to read like a heat-mapped orderbook on a deep-space background (#02011A). The four multi-stop gradients drive heatmap, absorption, delta, and whale layers independently, so the chart never looks visually flat.
Dashboard
Monospaced table, positionable to any of nine corners, with row-fade gradient. Surfaces:
Current POC price + bin distance from previous POC.
VAH / VAL price levels.
Cumulative bar delta.
Whale print count, absorption zone count, imbalance spike count in the lookback.
Current row classifications for the active price (Whale / Absorption / Imbalance).
LTF in use and bin count.
Alerts
Four alert conditions, each independently controllable:
Whale Print
Absorption Zone
Imbalance Spike
POC Shift (bin distance > threshold)
How to read it
Three reads, in order of conviction:
Stacked detection at the same bin — when a bin fires Whale + Absorption + Imbalance simultaneously, the auction has experienced a complete event: large size, both sides traded heavily, and the side imbalance was extreme. These are the rarest and strongest reads the script produces.
POC Shift through a previous structural level — value migration. The auction's centre of gravity has just moved through your S/R; the rest of the session usually follows.
Heatmap candle strip + delta ladder agreement — when the heatmap concentration sits at the same price the delta ladder shows one-sided imbalance, the bar is institutionally meaningful regardless of the candle shape.
Suggested settings
Defaults (1m LTF, 50 bins, 40-bar lookback, 95th percentile gates) are tuned for 5m–15m on liquid futures and crypto. For 1m scalping, drop bins to 30 and lookback to 20 to keep the script responsive. For 1H+ HTF, raise lookback to 100 and bins to 60. Lite Mode is recommended when stacking with other heavy indicators.
Originality
The implementation — the unified intrabar pipeline that feeds six independent visual layers, the percentile-gated whale detector, the min(buy,sell) / priceMovement absorption score, the diagonal-imbalance row detector, the multi-stop absorption gradient (six-stop signature ramp), the configurable delta ladder with nine-corner positioning, the POC bin-distance shift detector, and the grade composite palette — is JOAT-original. No third-party code reused. The footprint vocabulary (POC, VAH/VAL, imbalance, absorption, whale) is public-domain auction-theory language; this implementation is purpose-built for Pine v6 with bar data only.
Limitations
Reconstructed intrabar data is an approximation — the tick rule is the accepted public-market inference but it is not a direct read of bid/ask. Sub-minute LTFs require a TradingView Premium or Ultimate plan. The script renders many polylines, boxes, and labels — Pine's max_polylines_count / max_boxes_count / max_labels_count caps apply. Lite Mode exists specifically for low-spec / multi-indicator scenarios. POC, VAH, VAL, and detection layers are computed from confirmed intrabar data so they update on bar-by-bar close (non-repainting beyond the current developing bar).
—
-made with passion by jackofalltrades
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Median Point of ControlMedian Point of Control calculates and displays the median OHLC4 price for customizable time periods, along with percentage-based upper and lower bands. It provides a statistical reference framework for identifying potential support, resistance, and mean-reversion zones.
What It Does
This indicator computes the median of all OHLC4 values within a defined period and plots three horizontal levels:
Median Line — The statistical middle price of the period
Upper Band — Median + user-defined percentage
Lower Band — Median - user-defined percentage
The current period's levels update dynamically as new bars form. Completed periods are preserved as historical reference lines.
Why Median Instead of Average?
The median is the "middle" value when all prices are sorted. Unlike the mean (average), the median is resistant to outliers — a single extreme wick or price spike won't distort the level. This makes it more representative of typical price action during the period.
Two Calculation Modes
Timeframe Mode Define periods using standard timeframes: 4H, Daily, Weekly, Monthly, etc. The indicator automatically detects when each period begins and ends.
Bars Mode Define periods by a fixed number of bars (e.g., every 50 bars, every 100 bars). Useful for non-time-based analysis or custom period lengths that don't align with standard timeframes.
Settings
Calculation Mode: Choose between Timeframe or Bars
Timeframe: Period length when using Timeframe mode
Bars: Number of bars per period when using Bars mode
Band Distance (%): Percentage offset for upper/lower bands from median
Line Colors: Customize colors for median, upper, and lower bands
Line Width: Thickness of the plotted lines
Historical Transparency: Opacity of completed period lines
Max Historical Periods: Number of past periods to display
How To Use
Identify the range: The upper and lower bands create a price envelope based on the period's median. When price approaches these levels, watch for reactions.
Mean reversion reference: The median line represents the "fair value" of the period. Price tends to oscillate around this level.
Breakout detection: If price breaks and holds beyond a band, it may signal trend continuation rather than reversion.
Multi-timeframe analysis: Use Daily median on intraday charts to see where price stands relative to the day's statistical center.
Important Notes
This indicator does not predict price direction. It provides statistical reference levels only.
The current period's median updates with each new bar — this is expected behavior, not repainting.
Historical period lines are fixed once their period closes.
For best results, use on liquid instruments (stocks, forex majors, major crypto pairs).
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Session Volume Profile - Intraday [HexaTrades]Session Volume Profile Intraday is a comprehensive volume profile indicator designed specifically for intraday traders. It builds a separate volume profile for each session and automatically identifies the most important auction-market levels, including Point of Control (POC), Value Area High (VAH), Value Area Low (VAL), Previous Session Levels, VWAP, Previous Day High/Low, Initial Balance, and Naked POCs.
The goal of this indicator is to help traders understand where the market is accepting price, where major volume has traded, and where important support/resistance or liquidity zones may form during the trading session.
⭐️ How it works
-Binning: the session's price range (highest high to lowest low) is divided into Rows per Profile equal price bins.
-Volume distribution: each bar's volume is spread evenly across every bin its high–low range spans, and tagged buy or sell by candle direction.
-POC: the bin holding the most total volume.
- Value Area: starting from the POC, the algorithm expands outward always toward the heavier of the two neighbouring bins, until the accumulated volume reaches the chosen Value Area % (default 70%). The top and bottom edges of the included bins become VAH and VAL.
-Width: each row's bar length is scaled to its volume relative to the POC row, capped by the width settings.
⭐️What This Indicator Shows
🔷 Session Volume Profile: The indicator creates a horizontal volume profile for each trading session. Each profile shows how much volume traded at different price levels during that session.
The widest part of the profile represents the area with the highest traded volume. Thin areas show low-volume zones where price may move faster.
🔷 POC - Point of Control: POC is the price level with the highest traded volume during the session.
It is one of the most important levels on the chart because it represents the price where the market spent the most activity.
How to use POC:
- Price above POC can suggest buyers are in control.
- Price below POC can suggest sellers are in control.
- A retest of POC can act as support or resistance.
- A strong rejection from POC may create a trade setup.
- A clean reclaim of POC may show a change in intraday bias.
🔷 VAH and VAL - Value Area High / Low
The Value Area represents the price zone where most of the session’s volume traded, usually 70%.
VAH is the upper boundary of the value area.
VAL is the lower boundary of the value area.
How to use Value Area:
- Price inside value area = balanced market.
- Price above VAH = bullish acceptance/strength.
- Price below VAL = bearish acceptance/weakness.
- Rejection from VAH may create a short setup.
- Rejection from VAL may create a long setup.
- Breakout above VAH can indicate trend continuation.
- Breakdown below VAL can indicate downside continuation.
🔷 Previous Session POC / VAH / VAL
The indicator carries forward the previous session’s important profile levels into the current session.
These levels often act as strong support, resistance, or reaction zones.
How to use previous session levels:
- Previous POC can act as a major magnet level.
- Previous VAH/VAL can act as important breakout or rejection zones.
- If price opens above previous value, the market may be bullish.
- If price opens below the previous value, the market may be bearish.
- If price opens inside the previous value, the market may be balanced or rotational.
🔷 PDH and PDL - Previous Day High / Low
PDH means Previous Day High.
PDL means Previous Day Low.
These are important liquidity levels watched by many intraday traders.
How to use PDH/PDL:
- Break above PDH may show bullish momentum.
- Break below PDL may show bearish momentum.
- A fake breakout above PDH followed by rejection can indicate a liquidity sweep.
- A fake breakdown below PDL followed by recovery can indicate a downside liquidity sweep.
🔷 VWAP - Session VWAP
VWAP shows the average traded price of the session based on volume.
How to use VWAP:
- Price above VWAP = bullish intraday bias.
- Price below VWAP = bearish intraday bias.
- VWAP can act as dynamic support or resistance.
- POC + VWAP confluence can create a stronger reaction zone.
🔷 Initial Balance — IBH / IBL
Initial Balance is the high and low of the first part of the trading session. By default, it uses the first 60 minutes.
IBH = Initial Balance High
IBL = Initial Balance Low
How to use Initial Balance:
- Break above IBH may indicate a bullish trend day.
- Break below IBL may indicate a bearish trend day.
- Rejection from IBH/IBL may indicate range continuation.
- IB range helps define early-session structure.
🔷 Naked POCs
A Naked POC is a previous session POC that has not yet been retested by price.
How to use Naked POCs:
- They can act as future price magnets.
- Price often reacts when revisiting them.
- They can be used as target zones.
- Once price trades through a Naked POC, the level is considered tested.
⭐️ Dashboard
The dashboard provides a real-time summary of the current session and key reference levels, helping traders quickly assess market structure, auction location, and intraday bias.
- Price Location: Shows whether the current price is trading Above Value, Inside Value, or Below Value relative to the developing session Value Area.
- Session POC: Current session's Point of Control — the price level with the highest traded volume.
- Session VAH: Current session Value Area High.
- Session VAL: Current session Value Area Low.
- VWAP: Current session Volume Weighted Average Price.
- Prev POC: Previous session Point of Control, often acting as an important support, resistance, or mean-reversion level.
- Prev VAH: Previous session Value Area High, frequently used as a resistance level or bullish breakout trigger.
- Prev VAL: Previous session Value Area Low, frequently used as a support level or bearish breakdown trigger.
- PDH: Previous Day High, a key liquidity and breakout reference level.
- PDL: Previous Day Low, a key liquidity and breakdown reference level.
- IBH: Initial Balance High, representing the upper boundary of the opening range.
- IBL: Initial Balance Low, representing the lower boundary of the opening range.
- Naked POCs: Displays the number of active untested POCs from previous sessions that have not yet been revisited by price.
⭐️ How to Use This Indicator
🔷Step 1: Identify Market Bias
First, check where price is trading compared to VWAP, POC, and Value Area.
Bullish bias:
-Price above VWAP
-Price above session POC
-Price above VAH
-POC shifting higher
Bearish bias:
-Price below VWAP
-Price below session POC
-Price below VAL
-POC shifting lower
Neutral/balanced market:
-Price inside value area
-Price moving around POC
-VWAP is flat
-No clear acceptance above VAH or below VAL
🔷Step 2: Watch Key Reaction Levels
The most important reaction levels are:
- Current Session POC
-Previous Session POC
-VAH / VAL
-VWAP
-PDH / PDL
-IBH / IBL
-Naked POCs
When multiple levels are close together, that area becomes stronger confluence.
Example:
If VWAP, POC, and VAL are near the same price, that zone becomes an important support/resistance area.
🔷 Step 3: Look for Confirmation
Do not take trades only because price touches a level.
Wait for confirmation such as:
- Strong rejection candle
- Close above/below the level
- Retest and hold
- Volume expansion
- Failed breakout
- Market structure shift
- VWAP reclaim or rejection
Example Trade Setups
POC Rejection Setup
Bearish example:
- Price is below VWAP.
- Price rallies back to POC.
- Price rejects from POC.
- A bearish confirmation candle forms.
Possible entry: After rejection confirmation.
Possible stop: Above POC or above VAH.
Possible targets: VAL, PDL, or Naked POC.
POC Reclaim Setup
Bullish example:
- Price trades below POC.
- Price reclaims POC with a strong candle close.
- Price retests POC and holds.
- VWAP is also reclaimed.
- Possible entry: After retest and hold.
- Possible stop: Below POC or below VWAP.
- Possible targets: VAH, PDH, or previous value area.
Value Area Breakout
Bullish example:
- Price trades inside value area.
- Price breaks above VAH.
- Price holds above VAH.
- VWAP supports the move.
- Possible entry: Above VAH after confirmation.
-Possible stop:Back inside value area.
Possible targets: PDH, Naked POC, or next resistance zone.
Value Area Breakdown
Bearish example:
- Price trades inside value area.
- Price breaks below VAL.
- Price holds below VAL.
- Price remains below VWAP.
- Possible entry: Below VAL after confirmation.
- Possible stop: Back inside value area.
- Possible targets:PDL, Naked POC, or next support zone.
Previous Day High / Low Liquidity Sweep
Bullish PDL sweep example:
- Price breaks below PDL.
- Sellers get trapped.
- Price quickly reclaims PDL.
- Bullish candle closes back above PDL.
- Possible entry:After reclaim confirmation.
- Possible stop: Below sweep low.
- Possible targets: VWAP, POC, or VAH.
Bearish PDH sweep example:
-Price breaks above PDH.
- Buyers get trapped.
- Price quickly falls back below PDH.
- Bearish candle closes below PDH.
- Possible entry: After rejection confirmation.
- Possible stop: Above sweep high.
- Possible targets: VWAP, POC, or VAL.
Initial Balance Breakout
Bullish example:
- First 60-minute range forms.
- Price breaks above IBH.
- Price holds above IBH.
- VWAP and POC support the move.
-Possible entry: After the breakout and retest.
- Possible stop: Back inside IB range.
- Possible targets: VAH, PDH, or Naked POC.
Best Timeframes
- 5-minute chart
-15-minute chart
- Intraday futures
- Stocks
- Crypto
- Forex pairs
- For faster entries, the 5-minute can be used.
⭐️Alerts
All alerts are evaluated on confirmed bars only (no repaint):
- POC Cross Up / Down — price crosses the session POC.
- Value Area Breakout / Breakdown — price accepts above VAH or rejects below VAL.
- Prev POC Test — price tests the previous session's POC.
- PDH Break / PDL Break — price breaks the previous day's high or low.
- VWAP Cross — price crosses the session VWAP.
Session Volume Profile Intraday is designed to help traders visualise market-generated support and resistance using volume-based auction principles. By combining Session Volume Profiles, POC, Value Areas, VWAP, Previous Session Levels, PDH/PDL, Initial Balance, and Naked POCs, it provides a complete framework for intraday market analysis. Use it to identify key reaction zones, assess market bias, and improve trade planning. As always, combine it with sound risk management and your own trading strategy for the best results.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It should not be considered financial advice. Always use proper risk management and make trading decisions based on your own analysis
Индикатор
Order Flow Footprint [JOAT]ORDER FLOW FOOTPRINT
A full intrabar footprint engine — POC, Value Area, per-row imbalance detection, stacked imbalance zones, delta-flip alerts, POC-shift alerts, and per-bar footprint ladder labels — built to read like a Bookmap-style auction view directly on a TradingView chart. Uses the native Footprint API when your plan provides it, with a graceful fallback to lower-timeframe tick-rule reconstruction so the script works on every account tier.
Data source — Footprint API or reconstructed
Three modes, behaviourally identical:
Footprint API — uses request.footprint() with a configurable aggregation (Auto / 1m / 3m / 5m / 15m / 30m). Native bid/ask volume per row when your plan supports it.
Reconstructed — uses request.security_lower_tf() to sample intrabar prints, then assigns each tick to buy or sell via the standard tick rule. Configurable LTF (1m / 3m / 5m / 15m / 30m).
Auto — picks Footprint when available, falls back to Reconstructed. The recommended default.
A configurable Profile Rows input (default 24, max 80) sets the vertical resolution — each chart bar's intrabar volume is bucketed into N horizontal price slices and the footprint is built from those buckets.
Imbalance detection (Bookmap diagonal)
The institutional definition of an imbalance is diagonal , not lateral :
A buy row is imbalanced when buy ≥ ratio × sell (this row's buys vs the row below it's sells).
A sell row is imbalanced when sell ≥ ratio × buy (this row's sells vs the row above it's buys).
The ratio is configurable (default 3.0× — the institutional norm). An optional minimum-row-volume filter mutes illiquid wick rows from being counted as imbalances. When N or more same-side imbalances occur inside a single bar, the Burst alert fires.
Stacked imbalance zones (the headline)
Stacked imbalances are the textbook order-flow structural read: N consecutive same-side imbalanced rows on top of each other. They mark where price had to gap through multiple thin levels to print — and they are reliable revisit zones.
Minimum stack count is configurable (default 4 consecutive rows).
Each stack zone is drawn as a box extending right by a configurable bar count.
Optional glow border on stack zones (toggleable).
Maximum active zones is capped (default 8) — older zones shift out FIFO.
POC + Value Area
Per-bar Point of Control (the row with the highest volume), Value Area High and Value Area Low (the 70%-volume centred range) are computed and toggleable. POC is rendered as a dot; VAH / VAL as lines. A configurable POC Shift Threshold (in mintick units) fires the POC Shift alert when the POC jumps more than the threshold bar-over-bar.
Delta flip detection
Per-bar delta (buy − sell) is computed continuously. The delta-flip alert fires only when delta switches sign after at least N consecutive same-sign bars (configurable, default 5). This filters out the micro-fluctuations that pure-sign-flip detectors would noise on.
Per-bar footprint ladder (optional, heavy)
When enabled, inline labels at every row of every recent bar (configurable history depth) show the buy × sell tuple per row — the full Bookmap-style read. This is visually rich but rendering-heavy; keep it off when scrolling long histories or running on low-end hardware.
Visual system
POC dot in accent yellow.
Value Area lines (VAH / VAL).
Imbalance cells highlighted in palette colour per row.
Stacked imbalance zones with optional glow.
Bar colouring by delta sign (toggleable).
Per-bar delta annotations every N bars (configurable).
Per-bar ladder labels (optional).
A locked Iridescent palette (magenta bull / cyan bear / yellow POC accent on pure black) gives the chart a cyberpunk holographic identity that reads as institutional rather than retail.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Source mode in use (Footprint / Reconstructed) with aggregation/LTF.
Current bar's delta value and sign.
POC price and intrabar volume share.
Imbalance count this bar (buy / sell).
Active stack zone count.
Last delta-flip direction with bar-age.
Alerts
Five alert conditions, each independently controllable:
Stacked Imbalance Zone Formed
POC Shift (POC jumped > threshold)
Delta Flip After Run (delta sign change after N+ same-sign bars)
Buy Imbalance Burst (N+ buy imbalances in one bar)
Sell Imbalance Burst (N+ sell imbalances in one bar)
How to read it
Three reads, in order of conviction:
Stacked imbalance zone — the highest-conviction read. Price had to plough through multiple thin levels to print. Future revisits are reliable reactive zones.
Delta flip after run — regime-change signal. When delta has been net-buying for many bars and finally flips net-selling, the auction direction has just rotated.
POC shift through a structural level — value migration. When the POC moves through a previous-day VAH or VAL, value has migrated and the next session's bias often follows.
Suggested settings
Defaults (1m reconstruction LTF, 24 rows, 3.0× imbalance ratio, 4-stack minimum) are tuned for 5m–15m charts on liquid markets. For 1m scalping, drop rows to 16 and stack minimum to 3. For HTF macro (1H+), raise rows to 36 and stack minimum to 5. The 3.0× imbalance ratio is the institutional Bookmap norm; tighten to 2.5× for more frequent imbalance prints.
Originality
The implementation — the Auto/Footprint/Reconstructed source router, the diagonal-Bookmap imbalance detector with row-volume filter, the consecutive-row stack zone builder with glow border, the POC-shift detector with mintick-unit threshold, the run-length-gated delta-flip alert, the per-bar ladder renderer with history depth control, and the dashboard's holographic palette — is JOAT-original. No third-party code reused. The footprint vocabulary (POC, VAH/VAL, imbalance, stacked imbalance, delta) is public-domain auction-theory language; the implementation here is purpose-built for chart-based Pine v6.
Limitations
Reconstructed footprints are an approximation — the tick rule is the accepted public-market inference for assigning intrabar trades to buy/sell but it is not a direct read of bid/ask volume. Footprint API requires a TradingView Premium or Ultimate plan and is unavailable on some instruments. The per-bar ladder labels are rendering-heavy; keep them off when historical performance matters. Stacked-imbalance zones honour the max active cap (FIFO eviction) and the extension bars cap.
—
-made with passion by jackofalltrades
Индикатор
NOA Levels
NOA Levels — Structural Levels, Volume Profiles & Gap Analytics
OVERVIEW
NOA Levels combines three institutional reference frameworks into a single
overlay: prior-period structural levels, volume-derived value zones, and a
statistical session-gap engine. It is built for traders who anchor decisions to
where price has previously transacted and how the current session opens relative
to that history.
Everything plots on intraday timeframes and reads off higher-timeframe data, so
the levels stay consistent regardless of the chart resolution you trade on.
WHAT IT PLOTS
1. Prior-Period Levels (Day / Week / Month)
Previous high, low, and midpoint for each period, drawn as horizontal
references that extend across the active period. High/low use dashed lines;
midpoints use dotted lines to keep them visually subordinate. Compact labels
(pdH/pdM/pdL, pwH/pwM/pwL, pmH/pmM/pmL) keep the chart readable.
2. Volume Profiles (Daily & Weekly)
Point of Control (POC) plus Value Area High/Low for the prior day and prior
week, computed from an intrabar volume distribution. Value Area % is
adjustable (40% for a tight zone around the POC, ~70% for the standard Market
Profile convention). Resolution controls the number of price rows used to
build each profile.
3. Session Gap Engine
On each new session, the open is measured against the prior close. Every gap
is boxed and classified into one of six behavioural profiles based purely on
where the session ultimately closes relative to the gap zone:
• GapUp & Go / Hold / Reverse
• GapDn & Go / Hold / Reverse
The on-chart label shows the gap size and the developing profile in real time;
the tooltip carries the full statistical breakdown.
GAP STATISTICS (the core differentiator)
Rather than judging gaps with arbitrary thresholds, NOA Levels builds a running
distribution from your own chart's history (lookback is adjustable). For each new
gap it reports:
• Magnitude in % and price, normalized as a z-score (σ) and percentile rank
against prior gaps — so a "big" gap is defined by this symbol's own behaviour
• A Common vs. Breakaway tag (whether the open clears the prior day's range)
• Historical Go / Hold / Reverse percentages, split by gap direction
• Live fill tracking (whether the prior close has been retested)
Magnitude is normalized by absolute gap %, which is always available — so gaps
plot and compute statistics even on freshly listed symbols where ATR has not yet
warmed up. The ATR multiple is shown as an optional reference field once enough
daily history exists.
REPAINTING
Higher-timeframe levels use confirmed prior-period values (lookahead with a
one-bar offset), so historical levels do not repaint. The developing gap profile
and fill status update intrabar by design, as they describe the session in
progress; the profile is finalized and recorded into the distribution once the
session closes.
HOW TO USE
- Treat prior highs/lows and POC/Value Area as decision zones — areas where
reaction is more likely, not automatic buy/sell signals.
- Use the gap percentile and σ to gauge whether an open is routine or unusual
for this instrument before sizing or fading it.
- Read the Go/Hold/Reverse distribution as context for the current gap's most
common historical resolution — it is descriptive, not predictive.
- Midpoints often act as intraday pivots; the gap mid frequently marks the
fill objective.
SETTINGS
Inputs are grouped by period (Day / Week / Month) and function (Levels / Volume /
Gaps), with colors, line widths, label toggles, Value Area %, profile resolution,
gap lookback, and ATR length all configurable. Session and week separators are
optional.
ALERTS
New Session, New Week, New Month, and Session Gap Detected.
Индикатор
Order-Flow Profile Microstructure & Calibrated SweepsOrder-Flow Profile — Footprint, Microstructure & Calibrated Sweeps
A single-pane volume profile that reconstructs intrabar buy/sell activity, renders it as a footprint / delta heatmap with Point of Control and a 70% Value Area, layers a stack of market-microstructure factors over the same price bins, and then forward-tests every reversal signal it emits against realized outcomes. The dashboard reports measured edge with confidence intervals — not asserted edge.
It runs on any liquid symbol and any intraday timeframe. Defaults are tuned for index futures (e.g. NIFTY / BANKNIFTY); a few inputs adapt it to other instruments.
What it plots
Order-flow profile drawn to the right of price: each price bin colored by who controlled it (delta) with brightness scaled to volume, or a classic split footprint. The peak-volume row is the POC; a 70% Value Area is built outward from the POC.
Low-volume nodes / voids and four quadrant deltas that localize where buying and selling concentrated within the range.
A VPIN heat-glow background whose brightness rises with flow toxicity.
Sweep tags (ABS / EXH / DIV / REJ) at liquidity extremes, and a ⚡ reclaim-confirmed liquidity-sweep marker for the high-conviction stop-run-and-reclaim subset.
A calibration / key-reads dashboard (Compact by default, Pro on demand) that adapts its colors to your chart's background luminance.
Why these components belong in one script (component rationale)
This is not a bundle of unrelated indicators stacked together. Every component describes one object — the order-flow auction taking place inside the price profile — and each measures a different facet of it. They share one substrate (the price bins) and one validation spine (the calibration engine):
The profile says WHERE volume traded. POC, Value Area and voids are the structural skeleton — the price levels that matter.
Trade classification splits that volume into buy vs sell, giving every bin a delta. Bulk Volume Classification (a Student-t CDF on the standardized intrabar move) is used by default; on Premium plans, native bid/ask footprint can replace it, feeding the same bins. A tick rule classifies the same intrabars in parallel and the agreement % is reported, so you know when the trade-side read is fragile.
The microstructure factors qualify HOW that flow behaves at those levels. VPIN (informed vs balanced), multi-level OFI (depth-weighted imbalance across the bins), Kyle's λ and Amihud (price impact / illiquidity), and √-law absorption (flow soaked up vs fragile) each answer a question the raw profile cannot. They are computed over the very bins the profile draws.
The sweep layers detect reversals AT those levels — an order-flow taxonomy (absorption / exhaustion / divergence / rejection) plus a structural stop-run-and-reclaim. A Hawkes self-exciting intensity flags when sweeps are clustering (cascade risk).
A correlation-aware fusion (Kish design-effect shrinkage) combines the firing sweep's realized edge with the concurrent absorption and toxicity tells into a single reversal probability — shrinking redundant, correlated evidence so agreement among related signals cannot masquerade as independent confirmation.
The calibration spine forward-resolves every sweep and reports its hit rate versus base rate with a Wilson confidence interval. This is what ties the stack together: a factor only earns trust if the resolved outcomes say it does.
Remove any one layer and the others lose context: the profile without classification is just a volume histogram; the microstructure factors without the profile have no levels to attach to; the sweeps without calibration are unverified claims. Together they are a single, self-checking read of the auction.
How it works (mechanics)
Intrabar data. Lower-timeframe OHLCV is pulled with request.security_lower_tf (no lookahead). The lower timeframe is auto-derived from the chart timeframe or set manually.
Trade side. Bulk Volume Classification assigns each intrabar a buy fraction from a Student-t CDF of its standardized price change; delta = buy − sell. Where a Premium/Ultimate plan allows it, native request.footprint() real bid/ask volume per price replaces the reconstruction and feeds the identical bins.
Profile build. On the last bar, the chosen lookback of confirmed bars is accumulated into price bins; POC and the 70% Value Area are derived, voids and quadrant deltas computed.
VPIN. Volume is partitioned into equal-volume buckets; the average order imbalance across the last N buckets is the 0–1 toxicity read (with a percentile and background glow).
Impact factors. Stationarized (log-compressed, z-scored) OFI; depth-weighted multi-level OFI across the bins; Kyle's λ as the regression slope of return on signed flow; Amihud illiquidity as |return| per traded value.
Absorption. A displacement-normalized form and a √-law form (realized impact vs Y·ATR·√(|Δ|/V)): below the prediction = passive absorption / reversal candidate; above = fragile expansion.
Sweeps & fusion. At a swept extreme the bar is classified ABS / EXH / DIV / REJ; a Hawkes intensity tracks clustering; a Kish-decorrelated log-odds fusion outputs one reversal probability. Separately, a reclaim-confirmed liquidity sweep fires when price runs a confirmed swing pivot, closes back inside recovering a minimum fraction of the run, on a volume spike.
Calibration. Each sweep is queued and resolved a fixed horizon later against a moveATR·ATR threshold, recorded in R-multiples (MFE / MAE). The dashboard shows, per class: sample count, Hit% ± Wilson interval, Base% (the unconditional reversal rate over the same horizon), Edge (Hit − Base, starred at 95% significance), and average MFE / MAE.
Non-repaint: all detection is on confirmed bars, lower-timeframe arrays are confirmed intrabars, no dynamic-length built-ins are used, and the profile is drawn on the last bar from confirmed history. Pivots used by the liquidity sweep are confirmed before they can be swept.
What makes it original
It is built around calibration, not assertion. Most order-flow tools print a delta, a "confidence," or a footprint and leave it there. Here every reversal signal is forward-resolved against realized price and reported with a base rate and a Wilson interval, so the dashboard distinguishes a real edge from a small-sample illusion.
The agreement between Bulk Volume Classification and a tick rule is surfaced openly — a known weakness of reconstructed order flow is shown rather than hidden.
The microstructure factors are computed over the profile's own bins and decorrelated before fusion, so correlated flow signals don't inflate confidence.
It degrades gracefully from native exchange footprint (Premium) to reconstruction (every plan) with no change to the visual or the workflow.
All factor implementations are original Pine re-derivations of published methods; no code from other scripts is used.
How to use it
Apply to a liquid symbol on an intraday timeframe. Read the profile to see where volume concentrated (POC, Value Area, voids).
Watch the sweep tags and ⚡ liquidity-sweep markers at the edges of the range — these are reversal hypotheses, not guarantees.
Before trusting a sweep class, check its row in the calibration panel (switch the dashboard to Pro): is its Hit% above Base%, is the edge starred (significant), and is the Wilson interval tight enough to mean something?
Use the VPIN glow and fused reversal probability as context: bright background = one-sided / informed flow, which leans toward continuation and makes fades riskier.
The Compact dashboard summarizes the key reads (POC, VPIN, best calibrated edge, fused probability, liquidity-sweep status, auction efficiency); Pro expands the full per-class calibration table and every microstructure row.
Hidden EXP_* data-window series are provided for chaining into other scripts via input.source().
Data & markets
Works on whatever symbol the chart shows — nothing is hard-coded to an exchange or instrument. Defaults suit index futures on an intraday chart. For other instruments, adjust the Profile & Data Source group (lower-timeframe division, profile lookback) and, on a supporting plan, the native footprint settings. Reconstructed order flow is most reliable on liquid instruments with continuous volume.
Concept credits
This script operationalizes published methods; all implementations are original re-derivations.
Tick rule / trade sign — Lee & Ready (1991)
Bulk Volume Classification & flow toxicity (VPIN) — Easley, López de Prado & O'Hara (2012)
Order-Flow Imbalance — Cont, Kukanov & Stoikov (2014)
Multi-level / integrated OFI — Xu, Gould & Howison (2018)
Price impact (λ) — Kyle (1985)
Illiquidity ratio — Amihud (2002)
Self-exciting intensity — Hawkes (1971); Bacry, Muzy et al.
Square-root impact law — Almgren et al.; Tóth, Bouchaud et al.
Effective-sample decorrelation — Kish design effect
Market / auction profile (POC, Value Area) — Steidlmayer
Confidence interval — Wilson score interval (1927)
Disclaimer
For educational and informational purposes only. This is an analytical tool, not financial advice and not a solicitation to trade, and it is not a guarantee of future results. Order-flow classification from OHLCV is an estimate, not the true tape — without a Level-2 order book every delta here is a proxy (native footprint excepted). Always do your own research and manage risk; paper-trade before committing real capital. Индикатор
Smart Volume Profile VPVR POC, Value Area, SR [LunqFX]Smart Volume Profile VPVR is a modern, professional-grade volume profile indicator for TradingView that turns raw traded volume into the cleanest possible map of where the market actually did business. It plots the Point of Control (POC), the full 70% Value Area (VAH / VAL), and every High and Low Volume Node (HVN / LVN) as glowing, easy-to-read horizontal support and resistance levels — on any symbol and any timeframe: forex, crypto, stocks, indices, futures, gold (XAUUSD), Bitcoin (BTCUSD), NASDAQ, S&P 500, oil and more. Unlike a plain histogram, this VPVR (Volume Profile Visible Range) tool layers a live order-flow dashboard on top that reads the market in real time and tells you whether price is accepting value, rejecting value, rotating back to fair value, or breaking out — the exact context that separates profitable volume-profile trading from guessing. Built entirely in Pine Script v6 with neon gradient candles and a fully readable, gradient-coloured profile, it is designed to be both beautiful and genuinely useful for day trading, scalping, swing trading and intraday analysis.
◆ WHY VOLUME PROFILE MATTERS
Most indicators are based on price and time. Volume profile is based on price and volume — it answers a completely different and more important question: at which prices did the most trading actually happen? Those prices are where institutions, liquidity and "fair value" concentrate. High-volume areas act as magnets and strong support/resistance; low-volume areas are vacuums that price rips through. By making this structure obvious, Smart Volume Profile helps you trade with the auction instead of against it.
◆ WHAT IT DRAWS ON THE CHART
POC — Point of Control (gold ray): the single most-traded price in the window. This is the market's fairest value and its strongest magnet. Price returns to the POC again and again; it is the most important pivot on the chart.
VAH / VAL — Value Area High & Low (dashed rays): the top and bottom of the zone that contains 70% of all traded volume (fully configurable, 40–95%). Inside this band the market is "comfortable"; outside it the market is in discovery / imbalance.
High Volume Nodes (HVN): thick, bright rows = heavy acceptance = strong support & resistance and reaction/reversal zones.
Low Volume Nodes (LVN): thin, dim rows = rejection / fast-move zones where price tends to travel quickly and gap.
Gradient histogram: every row is colour-graded by its volume, so the profile literally glows where volume is heaviest — you read the structure at a glance instead of squinting at bars.
All levels extend as live rays with clean, high-contrast labels showing the exact price.
◆ THE LIVE DASHBOARD PANEL (this is what makes it "Smart")
A plain volume profile just draws lines. This indicator adds a compact, modern analytics panel that computes context you cannot see on the chart and condenses it into one glance:
Signal — the headline call, colour-coded: ▲ LONG revert, ▼ SHORT revert, ▲ BREAKOUT, ▼ BREAKDOWN, or ● BALANCED. This is the playbook for the current moment (logic explained below).
→ POC — the live distance from current price to the Point of Control, in %. This is your mean-reversion target and a quick read of how stretched price is from fair value.
In VA — a clean segmented meter showing where price currently sits inside the value area (from VAL on the left to VAH on the right). Instantly tells you if you're at the top, middle, or bottom of value.
Acceptance — the split of volume traded above vs below the POC (e.g. 52% ▼ / ▲ 48%). Reveals which side the market is building value on — a directional bias the chart hides.
Pressure — a segmented meter of buy volume vs sell volume across the whole window. Shows whether buyers or sellers are in control of the auction.
Footer — the lookback size and the actual % of volume captured by the value area, so you always know the context behind the numbers.
The panel is fully themeable (position, background, accent) and stays readable on dark charts.
◆ HOW IT WORKS (under the hood)
Binning: the chosen lookback window is divided into price rows ("buckets"). Resolution is adjustable for coarse or razor-sharp profiles.
True volume distribution: instead of dumping each bar's volume at its close, the indicator can spread each bar's volume across every price it actually traded through (high→low), producing a far more accurate profile than close-only methods.
POC detection: the row with the maximum accumulated volume becomes the Point of Control — by construction always the longest bar in the histogram.
Value Area expansion: starting from the POC, the algorithm steps outward toward whichever neighbouring row holds more volume, accumulating until the target (default 70%) of total volume is enclosed. The final boundaries become VAH and VAL — the same methodology used in classic Market Profile.
Order-flow analytics: the script measures volume above vs below the POC (Acceptance) and buy-bar vs sell-bar volume (Pressure) across the window.
Smart Signal engine: it blends Acceptance and Pressure into a single order-flow reading and combines it with price location relative to the value area to classify the situation as a rotation or a breakout (see below).
◆ THE SMART SIGNAL LOGIC
A naive volume-profile tool always says "revert to POC", which gets you run over in trends. This one is smarter:
Price BELOW value + order flow NOT confirming the drop → ▲ LONG revert (rotation back to POC).
Price BELOW value + order flow confirming the drop → ▼ BREAKDOWN (continuation — don't catch the knife).
Price ABOVE value + order flow NOT confirming the push → ▼ SHORT revert (rotation back to POC).
Price ABOVE value + order flow confirming the push → ▲ BREAKOUT (continuation — trade with it).
Price INSIDE value → ● BALANCED (range conditions — fade the edges back toward POC).
This single distinction — rotation vs breakout — is the difference between fading a pullback and getting trapped against a trend.
◆ HOW TO USE IT
Mean-reversion / range trading: in BALANCED or revert states, fade moves at VAH/VAL back toward the POC. The → POC distance is your target; HVN rows are logical stop zones.
Breakout / trend trading: in BREAKOUT / BREAKDOWN states, trade in the direction of the move and target the next HVN. Avoid counter-trend fades when order flow confirms the break.
Support & resistance mapping: treat thick HVN rows as high-probability reaction zones and expect rapid, low-resistance moves through LVN gaps.
Bias & confluence: use Acceptance and Pressure for directional bias, and combine the POC/VAH/VAL levels with your own structure, liquidity, order blocks or session tools for higher-conviction entries.
Multi-timeframe: raise the Lookback for higher-timeframe value (swing context), lower it for intraday/scalping context. Increase Rows for more precise POC placement.
◆ SETTINGS
Volume Profile Engine: Lookback (bars), Rows (resolution), Value Area %, true-range volume distribution toggle.
Profile Look: width, gap from price, anchor side (right of price / classic overlay), Value-Area / outside / POC colours.
Levels: POC ray, VAH/VAL rays, optional Value-Area shading, ray extension, label size (Small → Huge).
Neon Candles: gradient candles (turquoise bullish / magenta bearish) with momentum-scaled glow halo.
Panel: show/hide, position, background and accent colour.
◆ ALERTS
Price crossed POC
Breakout above VAH
Breakdown below VAL
◆ NON-REPAINTING
The profile, levels and dashboard are single objects rendered on the last bar over a fixed rolling lookback — historical bars are never repainted. As with any live tool, the current bar is included in the calculation, so the real-time read updates tick by tick and settles on close; closed history never changes.
Smart Volume Profile VPVR is an educational analysis tool, not financial advice. Volume profile reflects historical traded volume and does not predict future prices. Always do your own research and manage risk. © LunqFX.
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Anchored VWAP Reversion ChannelAnchored VWAP Reversion Channel — Regime-Gated Fade Framework
## What this script does
This is an **analytical study** that frames mean-reversion ("fade") setups around an **anchored, volume-weighted regression channel**, then **gates** those setups by a statistical market-state test and **scores** them against their own forward outcomes. It does not place orders and it is not a signal service — its purpose is to let you see, on your own instrument and timeframe, whether fading a stretched move actually has an edge, instead of assuming it does.
It plots one channel (a centre line plus inner/outer residual-σ bands), marks fade setups at the outer band, draws supporting context (volume-profile POC / value area, untested prior-session POCs, momentum divergences, liquidity sweeps, and multi-timeframe trend lines), and reports a compact validation panel.
## Why these components are combined (mashup rationale)
Fading an extreme is really three separate questions, and no single classic indicator answers all three. Stacking look-alike indicators just echoes one input, so this tool deliberately combines **three non-redundant lenses and makes them check each other**:
1. **WHERE is price stretched?** — A **volume-weighted polynomial regression** anchored at the most recent swing pivot, with **residual-σ bands**. Because the curve tilts with the active leg, an outer-band tag stays meaningful even inside a trend, where a flat cumulative VWAP would not. A **volume profile** anchored to the *same* window supplies POC and value area, and prior-session POCs that have never since been traded through become **reversion targets**.
2. **Is a reversion actually firing here?** — Three orthogonal **tells** evaluated only at the band: a **close-back rejection**, a **band-confluent momentum divergence**, and an **equal-high/low liquidity sweep** (stop-run). Crucially, all three are derived from the same stretch, so their agreement is shrunk by a **design-effect correction** (effective-sample-size): three correlated echoes are not allowed to masquerade as three independent confirmations.
3. **Is the market in a reverting state at all?** — A **regime gate** combining a **variance-ratio test** and a **reversion-trust correlation** only lets a fade through when recent increments are offsetting (mean-reverting) rather than compounding (trending).
The pieces are not bolted together side by side: they share **one geometry** (the anchored channel) and **one volatility unit** (residual σ / ATR), and each can veto the others. A band tag with no tell does nothing; a tell with no reverting regime does nothing. The design goal is to **suppress** low-quality fades — into a trend, mid-range, or backed by a single echoed tell — more than to generate them.
## The honesty layer (what makes this more than a drawing)
Every fade that fires is logged and, a fixed horizon later, **resolved**: its forward return is measured in ATR units and tabulated **with the regime gate ON versus OFF**, reporting follow-through %, whipsaw %, a Wilson 95% confidence interval, and the **mean return per fade**. A per-fade series also exports to the Data Window so you can study the full return distribution offline. The gate has to **beat its own ungated baseline** to justify itself — the framework is built to be tested, not trusted blindly.
## How to use it
1. Set the **Price source** (group 01). It works on any symbol and any market; volume-based parts need a real volume feed.
2. A fade **arms** when price tags the outer band **and** at least one tell prints, then **passes** only if the regime gate reports a reverting state. Solid triangles are gated fades; the target is the centre line or the nearest untested POC.
3. Read the panel top-down: does **Gate ON** beat **Gate OFF** on both follow-through and mean R, with non-overlapping intervals and a reasonable sample size? If not, the edge is not present on this symbol/timeframe — change them rather than forcing the trade.
4. The signal lives on **higher intraday timeframes**; one-minute data is mostly noise.
## Defaults
Shipped tuned for **NSE:NIFTY** index futures on intraday timeframes (sources, pivot lengths, value-area %, and the Tuesday-style weekly session context reflect that instrument). Every value is exposed as an input — change the **Price source** and the relevant lengths to run the framework on any other instrument or market.
## What is original
The original work is the **coordination**, not any single formula: an anchored polynomial-regression channel used as a reversion frame, three decorrelated band tells fused by a design-effect shrink, a statistical regime gate, and a built-in A/B + forward-return validation harness — combined so each lens can veto the others and the whole thing reports its own hit rate. It is not a re-skin of one indicator.
## Concept credits (techniques are standard; this implementation is original)
Anchored VWAP (standard); volume-weighted least-squares / polynomial regression (standard); residual-σ channel (standard); Volume Profile, Value Area and POC — Market Profile, Steidlmayer / CBOT; Variance-Ratio test — Lo & MacKinlay (1988); design effect / effective sample size — Kish (1965); proportion confidence interval — Wilson (1927); ATR trailing stop / Supertrend (classic, used for the multi-timeframe context lines); RSI — Wilder; Stochastic — Lane.
## Disclaimer
For research and education only. This is an analytical study, **not** financial advice, **not** a recommendation, and **not** a guarantee of future results. All statistics shown are **in-sample** on loaded history, close-to-close, without costs or slippage — a study aid, not a backtest. Mean reversion fails in trends and through regime breaks. Do your own research and manage your own risk.
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Visible Range Volume NodesVisible Range Volume Nodes is a visible-range volume profile indicator that shows how traded volume is distributed across price levels inside the currently visible chart area.
The script builds a horizontal volume profile from the candles visible on the chart. It divides the visible price range into rows and distributes each candle's volume across the price rows touched by that candle's high-low range. Rows with more accumulated volume are displayed wider. Rows with less accumulated volume are displayed narrower.
How volume is calculated
Each candle's volume is distributed proportionally across the price rows covered by that candle's high-low range. If a candle covers several rows, its volume is split between those rows based on the amount of price overlap.
Bullish and bearish volume are separated using candle direction:
* Candles closing above their open are counted as bullish volume;
* Candles closing below their open are counted as bearish volume;
* Neutral candles are split evenly.
Key Volume Areas
POC - Point of Control
POC is the price row with the highest volume inside the visible range. It marks the largest volume concentration in the selected chart area.
VAH - Value Area High
VAH is the upper boundary of the value area.
VAL - Value Area Low
VAL is the lower boundary of the value area.
The value area starts from the POC and expands through the highest-volume neighboring rows until the selected percentage of total visible-range volume is included. By default, this is commonly used as a 70% value area, but the percentage can be changed in the settings.
HVN - High Volume Node
HVN zones are high-volume areas detected from local peaks in the smoothed volume profile. These zones show where volume was concentrated compared with nearby price levels.
LVN - Low Volume Node
LVN zones are low-volume areas detected from local valleys in the smoothed volume profile. These zones show where volume was thinner compared with nearby price levels.
How to use it
The profile can help users compare current price action with previously traded volume areas inside the selected visible range:
* POC shows the main high-volume reference area of the visible range;
* VAH and VAL show the upper and lower limits of the main value area;
* HVN zones show areas where price previously spent more volume;
* LVN zones show areas where volume was thinner relative to nearby price levels;
* The histogram shows the full volume distribution across the selected price range.
A trader can use these areas as context when analyzing price location. For example, price trading near POC is trading near the main volume concentration of the visible range. Price trading near VAH or VAL is trading near the edge of the calculated value area. HVN and LVN zones can be used to compare current price behavior with areas of stronger or weaker previous volume participation.
These levels should be treated as structural references only. They are not automatic entries, exits, support, resistance, targets, or invalidation levels.
Main settings
* Profile Rows controls how many price rows are used to build the volume profile. More rows create a more detailed profile. Fewer rows create a smoother, broader profile;
* Value Area % controls how much of the visible-range volume is included inside the value area;
* Histogram Direction controls whether the profile is displayed to the left or right side of the visible chart area;
* Profile Distance controls the spacing between the visible candles and the profile panel;
* The script also includes settings for showing or hiding POC, VAH/VAL, HVN, LVN, labels, prices in labels, line style, line width, label size, and colors.
Limitations
*This indicator does not generate buy or sell signals;
*It does not predict future price direction;
*It does not define guaranteed support or resistance;
*It does not use exact bid/ask volume;
*It does not use footprint, delta, or order book data.
The displayed structure depends on the selected visible range, symbol, exchange, timeframe, and available volume data.
Because the profile is based on the currently visible chart range, moving or zooming the chart can change the calculated POC, value area, HVN zones, and LVN zones.
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Liquidity & Volume Profile Framework [invincible3]Liquidity & Volume Profile Framework
The Liquidity & Volume Profile Framework is a price-action and volume-profile framework designed to help traders identify high-probability trading zones using liquidity, value area structure, fair value gaps, and volume confirmation.
This indicator is built around the idea that strong trades usually happen when price reacts around important institutional zones such as POC, VAH, VAL, HVN/LVN areas, and liquidity pools created around equal highs and equal lows.
The tool does not simply give random buy or sell signals. Instead, it maps the market structure so the trader can wait for proper confluence before entering.
Core Concept
This indicator follows a structured institutional trading workflow:
Step 1 — Read the Market Structure
The indicator identifies key volume-profile levels:
POC — Point of Control
The price level with the highest volume concentration inside the selected lookback range.
VAH / VAL — Value Area High and Value Area Low
The upper and lower boundary of the value area, based on the selected value-area percentage.
HVN / LVN Zones
High-volume and low-volume areas are displayed as volume-profile bars.
HVN zones can act like magnets, while LVN zones often behave like thin liquidity zones where price can move quickly.
BSL / SSL Liquidity Pools
The indicator tracks swing highs and swing lows to identify potential buy-side liquidity and sell-side liquidity.
Step 2 — Wait for a Trigger
The indicator highlights possible institutional reaction triggers:
Liquidity Sweep
A bullish sweep occurs when price takes out a prior swing low and closes back above it.
A bearish sweep occurs when price takes out a prior swing high and closes back below it.
This helps identify possible stop-hunt behavior around liquidity pools.
Fair Value Gap — FVG
Bullish and bearish imbalance zones are detected automatically.
These areas can act as retracement zones where price may return before continuation.
VA / POC Touch
Reactions around VAH, VAL, or POC can provide important confluence when combined with sweep or FVG logic.
Step 3 — Confirm with Volume
The indicator includes a volume spike condition.
A volume spike is detected when current volume is greater than the selected moving-average volume multiplied by the chosen spike multiplier.
By default, the logic uses:
Volume > 1.5 × Average Volume
This helps highlight moments where institutional participation may be stronger than normal.
Step 4 — Entry Logic
The strongest setups usually appear when multiple conditions align in the same zone:
Liquidity sweep + FVG fill + VAH / VAL / POC reaction + volume spike
Example bullish setup:
Price sweeps sell-side liquidity below a prior swing low, closes back above the level, returns into a bullish FVG, reacts near VAL or POC, and shows increased volume.
Example bearish setup:
Price sweeps buy-side liquidity above a prior swing high, closes back below the level, returns into a bearish FVG, reacts near VAH or POC, and shows increased volume.
Step 5 — Risk Framework
The indicator is designed to support structured risk planning:
Stop Loss
Usually placed just beyond the swept liquidity level.
Target 1
Often the POC or opposite value-area boundary.
Target 2
The opposing liquidity pool or major high-volume / low-volume area.
Visual Legend
Orange line — POC
Dotted adaptive lines — VAH / VAL
Gold bars — High-volume areas / HVN
Purple bars — Low-volume areas / LVN
Green dashed sweep line — Sell-side liquidity sweep
Red dashed sweep line — Buy-side liquidity sweep
Green boxes — Bullish Fair Value Gaps
Red boxes — Bearish Fair Value Gaps
Gold circles — Volume spike confirmation
Main Features
Automatic fixed-lookback volume profile
POC, VAH, and VAL calculation
High-volume and low-volume profile bars
Bullish and bearish liquidity sweep detection
Buy-side and sell-side liquidity mapping
Automatic bullish and bearish FVG zones
FVG extension until fill or expiry
Volume spike confirmation using volume moving average
Theme-adaptive colors for dark and light charts
Institutional-style visual framework
Clean overlay design for price-action trading
Best Timeframes
This tool works best when used with a top-down approach.
For structure:
4H / Daily
For entries:
15m / 1H
Recommended workflow:
Use higher timeframe to identify POC, VAH, VAL, HVN, LVN, and major liquidity pools.
Then use lower timeframe to wait for liquidity sweep, FVG reaction, rejection candle, and volume confirmation.
Suggested Settings
For intraday trading:
VP Lookback: 100–200
VP Rows: 40–60
Value Area: 70%
Pivot Length: 5–10
Volume MA: 20
Volume Spike Multiplier: 1.5
For swing trading:
VP Lookback: 200–300
VP Rows: 50–80
Value Area: 70%
Pivot Length: 10–20
Volume MA: 20–50
Volume Spike Multiplier: 1.5–2.0
Important Notes
This indicator is not a standalone buy/sell signal system.
It is a confluence framework.
The highest-quality trades usually occur when liquidity, volume profile, imbalance, candle rejection, and volume confirmation all align in the same area.
Always wait for candle-close confirmation before entering.
Use proper stop loss and risk management. Индикатор
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.
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Dual Profile Structure Map [JOAT]Dual Profile Structure Map
Introduction
Dual Profile Structure Map is an open-source session volume profile indicator that computes Point of Control, Value Area High, Value Area Low, and Initial Balance levels for the current session and displays them as a horizontal histogram overlaid on price. Unlike fixed-range or visible-range profiles, this indicator uses time-based session segmentation — the profile represents only the bars within the current trading day, updating continuously as each bar closes.
The profile answers a specific question: where was the majority of trading activity concentrated in the current session, and what are the structural reference levels that follow from that activity? The Initial Balance (the range of the first hour of the session) provides context for whether subsequent price behavior is an extension or a rejection.
Core Concepts
1. Volume Profile Calculation
Price range is divided into configurable bins. Each bar's volume is allocated to the bins that overlap its high-low range, proportionally by the fraction of the bar that falls within each bin. The result is an array of volume-at-price values for the session:
for b = 0 to nBins - 1
float binLo = profileLow + b * binSize
float binHi = binLo + binSize
float overlap = math.min(high, binHi) - math.max(low, binLo)
if overlap > 0
vol_at_bin += volume * (overlap / (high - low))
2. Point of Control and Value Area
The Point of Control (POC) is the bin with the highest volume — the price level where the most trading occurred. The Value Area is computed using the standard 70% rule: starting from the POC, adjacent bins are added to the value area (choosing the higher-volume adjacent bin each time) until 70% of session volume is captured. The resulting Value Area High (VAH) and Value Area Low (VAL) define the range where value was accepted.
3. Initial Balance
The Initial Balance uses the high and low of the first configurable number of bars after session open (default: first 4 bars on a 15-minute chart = first hour). IB High and IB Low are drawn as horizontal lines across the chart. Price trading above IB High is bullish extension; below IB Low is bearish extension; inside the IB is balance.
4. Histogram Rendering
Volume bins are rendered as horizontal bars extending leftward from the right edge of the session. Bar width is proportional to relative volume. The POC bin uses a distinct color. Value area bins use a softer fill. Bins outside the value area use the dimmest fill. This creates the standard volume profile "bell curve" visualization.
Features
Session volume profile: Real-time per-session histogram updated bar by bar
Point of Control (POC): Highest-volume price bin with labeled line
Value Area (VAH/VAL): 70% volume concentration band with boundary lines
Initial Balance High/Low: First-session-period range with horizontal level lines
Configurable bin count: Controls granularity of the volume distribution
Session reset logic: Profile resets at each new session boundary
Candle coloring: Candles painted by position relative to POC and value area
Dashboard: Current POC, VAH, VAL, IB range, and session volume total
Input Parameters
Profile Configuration:
Number of Bins: Price level granularity for the profile (default: 24)
IB Bars: Number of bars defining the Initial Balance period (default: 4)
Session Type: Trading session boundary for profile reset
Display:
Histogram Width: Maximum bar width in chart bars (default: 30)
Show POC Line toggle
Show Value Area toggle
Show Initial Balance toggle
Show Candle Color toggle
How to Use This Indicator
Step 1: Identify the POC
The POC is the fair value anchor for the session. Price gravitating toward the POC during a pullback indicates healthy trend behavior. Price unable to hold above or below the POC suggests indecision at current levels.
Step 2: Use Value Area for Range Context
Value area acceptance means price is spending time within the 70% volume zone — a range-bound state. Value area rejection (price rapidly leaving VAH or VAL and not returning) indicates directional conviction.
Step 3: Trade Initial Balance Extensions
A close above IB High with follow-through is a bullish extension signal. A close below IB Low is bearish. Range expansion beyond the IB indicates participants accepting new value outside the opening equilibrium.
Step 4: Watch POC as Support or Resistance
On future pullbacks, the prior session's POC often acts as structural support or resistance. The indicator's persistent level lines provide these reference points across sessions.
Indicator Limitations
Volume profile interpretation requires practice; mechanical rules based on profile levels without context produce poor results
On instruments with irregular volume distribution (low-liquidity sessions, gaps), profiles may cluster into unrepresentative patterns
The 70% value area rule is a convention from Market Profile theory, not a mathematically proven optimal threshold
Originality Statement
The combination of a real-time session volume profile with Initial Balance tracking, candle coloring by value area position, and a live-updating dashboard in a single Pine Script v6 publication provides a self-contained session structure tool. The session-adaptive profile calculation using proportional volume allocation across bins is implemented from first principles, not adapted from another published script.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Volume profile levels are historical references and do not guarantee future price reactions. Trading involves substantial risk of loss.
-Made with passion by jackofalltrades
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