Rolling VWAP + Volume Profile by Flip On DipRolling VWAP + Volume Profile draws a volume weighted average over a moving window of trading days, and a separate volume profile for each of the last few sessions.
🔁 The VWAP here is not anchored. Instead of resetting at the open it holds a sliding window of the last N sessions, so the line carries through the open and over the weekend without jumping. Two deviation bands sit either side, built from the volume weighted standard deviation rather than a plain one, so they widen when size trades away from the mean instead of just following range.
🕐 Session length is measured off the chart rather than assumed. A 6.5 hour stock day, a 23 hour gold day and a 24 hour crypto day all count as one day, so a 7 day window really is seven sessions on any symbol at any timeframe.
📊 Each session gets its own profile, built from a candle step you set. That step is independent of your chart, so the same 5m profile shows up whether you're looking at a 1m or a 1h chart and switching timeframes won't change the shape. Volume from each candle is spread across every level it touches, weighted by how much of the candle's range falls inside each one, instead of being dumped at the close. Point of control and value area are marked, and the session in progress rebuilds as it fills.
On that last point, worth being clear about what moves and what doesn't. The session in progress is live and will keep changing until it closes, roughly once a minute as volume comes in. That's the whole idea of a developing profile. Once a session ends its profile is drawn once and never touched again, so nothing behind you shifts around. The VWAP behaves the same way: it updates on the current bar like any average does, and past values stay where they were.
Two horizons. Micro gives daily profiles with a week long VWAP, Macro switches to weekly profiles with a fortnight long VWAP across a longer stretch of history. Each one keeps its own settings, so flipping between them doesn't cost you your tuning.
⚠️ Not every ticker reports real volume, and that changes what a profile means. Spot gold, most FX and index feeds publish nothing at all, while forex and CFD tickers that do publish are usually counting ticks rather than contracts. The indicator checks and tells you which one you're on. Where there's no volume it falls back to counting time spent at each price, which is still a useful map of where the market lingered, and the panel says so rather than leaving you to work out why the shape looks odd.
The panel in the corner handles the rest of it. Active horizon, VWAP window, profile step, and whether volume on this ticker is traded, tick only or missing. If something is quietly limiting the drawing, the chart timeframe being wrong for the horizon, the 500 box platform limit, not enough history loaded for the window you asked for, it writes it out in plain words with what to change.
There's also an optional fixed step for the VWAP itself, which makes the line identical on every timeframe. Off by default, since the chart bars are what most people expect.
⚡ Nothing is calculated outside the visible window, and every box and line is allocated once and reused instead of being deleted and redrawn, so panning around stays smooth even on long intraday history.
Three colour presets, Default, Light and Dark, or Custom to set every colour and transparency yourself. Row spacing and width, gradients, borders, POC and VAH/VAL lines, the 3D shadow, price labels and the panel are all configurable.
Open source, free to study or extend. Indicator
Indicator
Volume DNA: Heatmap [BigBeluga]🔵 OVERVIEW
The Volume DNA: Heatmap is an advanced technical indicator created by BigBeluga to decode institutional volume and price action dynamics using market microstructure principles. Traditional volume indicators often look at volume in isolation, failing to account for the efficiency or inefficiency of price movement. In order to provide a solution to this problem, this indicator combines rolling volume Z-scores with high-low price spread Z-scores, classifying every single bar into distinct institutional signatures—such as Absorption, Effort, Exhaustion, and Stagnation.
The indicator aims to visualize institutional accumulation, distribution, and exhaustion points directly on the chart. The core element of its calculation involves tracking volume and spread deviations against rolling means defined as:
volZ = (volume - volMean) / volStd
spreadZ = (spread - spreadMean) / spreadStd
where volMean and spreadMean are moving averages over lookback lengths volLengthInput and spreadLengthInput , and volStd and spreadStd represent standard deviations. Higher values of volThreshInput and spreadThreshInput allow the indicator to filter out random market noise and isolate major institutional footprints.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — DNA Engine & Classification Matrix
Absorption ( ABS ): Triggered by high volume and narrow spread via highVol and narrowSpread , signaling institutional limit orders absorbing market flow.
Effort Bullish / Bearish ( EFF+ / EFF- ): Triggered by high volume and wide spread via highVol and wideSpread , signaling aggressive buying or selling pressure driving trend continuation.
Exhaustion ( EXH ) & Stagnation ( STG ): Tracks low volume relative to price spreads to identify thin liquidity moves or equilibrium consolidation phases.
2 — Visual Enhancements & Ghost Glows
Ghost Glow Effect: Renders a semi-transparent wider candle behind classified DNA bars using plotcandle(showGlowBar ? bodymax + glowExpand : na, ...) to visually distinguish key events from normal price action.
Liquidity Clouds: Draws transparent box zones over Absorption bars extending cloudExtendInput bars to the right, marking where institutional limit orders may be resting.
3 — Real-Time Barcode Tape & Statistics Tables
DNA Barcode Tape: Displays a vertical heatmap table on the chart showing the DNA type and volume of the last tapeRowsInput bars as a real-time institutional activity tape.
Stats Panel Table: Summarizes current bar status, Volume Z-Scores via str.tostring(volZ, "#.##") , and Spread Z-Scores for instant quantitative feedback.
🔵 HOW TO USE
Apart from the basic visualization of institutional volume signatures, this tool can also act in alternative ways to support decision-making:
Spot Institutional Absorption: Look for ABS candles and their accompanying Liquidity Cloud zones to identify potential support or resistance levels where large market participants are absorbing flow.
Ride Trend Continuations via Effort: Monitor EFF+ and EFF- signal shapes (where size and color intensity scale with volume Z-scores) to confirm aggressive momentum driving price in the direction of the breakout.
Anticipate Reversals with Exhaustion: Watch for EXH signals where price moves on thin liquidity, signaling that a current trend may be running out of fuel and nearing a pullback or reversal.
🔵 NOTES
Why this implementation is unique:
It merges volume and price spread analytics using statistical Z-scores rather than arbitrary thresholds, offering an objective look at market efficiency.
The multi-table interface provides both historical sequencing (Barcode Tape) and real-time metric tracking without crowding the main price action view.
The script is fully optimized for Pine Script version 6, utilizing high-performance array management (`var array dnaHistory = array.new(tapeRowsInput, 0)`) for smooth execution across extensive historical data.
Note: The indicator relies on rolling standard deviation calculations; initial chart loads require enough bars to populate the lookback window accurately.
Indicator
Volume Profile XL**Volume Profile XL — Overview**
Volume Profile XL shows *where* trading activity concentrated across price, rather than just when it happened. It divides price into horizontal bins and draws a sideways histogram: the longer a row, the more volume traded at that price. This reveals the levels the market accepted (heavy rows) and the levels it passed through quickly (thin rows), plus three key reference prices — the POC and the Value Area boundaries.
**The two ways it can display**
- **Per Day (Historical)** — the default. It draws a separate profile over each of the last several periods, sitting on top of that period's candles. This lets you see how accepted price shifted from one day to the next.
- **Combined** — one single profile built from a fixed number of recent bars, drawn off to one side of price. This gives a clean, current read of fair value across the recent move without splitting it by day.
**The three reference markers on every profile**
- **POC (Point of Control)** — the single price with the most volume; the profile's center of gravity.
- **VAH / VAL (Value Area High / Low)** — the top and bottom of the price band containing the chosen percentage of volume. Price inside this band is "in balance"; price leaving it signals the market is exploring new territory.
---
**Mode settings (top of the panel)**
- **Profile Mode** — switches between Per Day and Combined, as described above.
- **Split Up/Down Volume** — when on, each row is colored in two parts, showing how much of that level's volume came from up-closing versus down-closing bars, so you can read buying vs. selling pressure within a level. When off, each row is a single color based on whichever side dominated. Turning it off also halves the drawing load, which lets you display roughly twice as many days at the same detail — the main lever when you want more history on screen.
**Calculation settings**
- **Number of Rows** — how finely price is sliced. More rows means more detail but, in Per Day mode, fewer days fit on screen at once. Fewer rows means a coarser profile but more history.
- **Value Area %** — the share of volume the Value Area captures. Seventy percent is the long-standing market convention; raising or lowering it widens or narrows the VAH–VAL band.
**Per Day (Historical) settings**
- **Period** — whether each profile covers a Day, a Week, or a Month.
- **Historical Lookback (Days)** — how many periods back to draw. If you request more than the screen can hold, it automatically shows as many as fit rather than erroring.
- **Profile Width (% of period)** — how much of each period's horizontal space the widest row fills. Lower values make slimmer, less overlapping profiles; higher values make bolder ones.
**Combined settings**
- **Lookback Bars** — how many recent bars feed the single combined profile.
- **Placement** — draws the profile to the Left or Right of current price.
- **Max Profile Width** — the on-screen length of the busiest row; controls the overall size of the histogram.
- **Gap From Price** — spacing between the profile and the candles.
**Colors & Lines settings**
- **Up Volume / Down Volume** — the two histogram colors.
- **Show POC** and **POC Color / POC Line Style** — toggle the Point of Control line and set its color and style (Solid, Dashed, or Dotted).
- **Show Value Area** and **VA Color / VA Line Style** — toggle the Value Area lines and set their color and style.
- **Label Size** — the size of the POC, VAH, and VAL price tags, from Tiny to Huge.
---
**How to use it in practice**
- **Read the shape first.** Fat rows are magnets where price tends to stall; thin rows and gaps are fast zones price tends to slice through.
- **Watch behavior at the edges.** Price stalling at VAH or VAL and turning back suggests balance and a move toward the POC. Price pushing through an edge and *holding* there suggests acceptance and a possible trend in that direction.
- **Compare day to day (Per Day mode).** Overlapping value areas across days point to a sideways, balancing market; value areas stepping steadily up or down point to a trend. Where today opens relative to yesterday's Value Area is one of the most useful tells for whether the session is likely to rotate or run.
- **Use Combined for the big picture.** When you want one clean map of the current support and resistance shelves rather than a day-by-day breakdown, switch to Combined and place it on whichever side keeps your price action clear.
**A note on the data**
The profile is built from each bar's price range and volume, which is the standard approach for this kind of tool on this platform. It's a close approximation of the true volume-at-price distribution, not a tick-by-tick reconstruction, so treat the levels as high-quality reference points rather than exact measurements. Indicator
Strong Volumetric Zones | ProjectSyndicateStrong Volumetric Zones carves the chart's true supply and demand from actual transacted volume — not from pivots, not from moving averages, not from projected lines — then power-ranks every zone so you know which ones are institutional footprint and which ones are noise. It pulls lower-timeframe order-flow data for every candle in the lookback window, builds a full volume-at-price histogram with buy/sell decomposition, isolates the high-volume nodes that dominate their neighborhood, extends each one into a bounded zone using a fractional-volume cutoff, and grades all of them 0–10. The whole tool runs on one idea: price alone is a story half-told — a level where the auction deposited enormous volume, where delta confirms one side was defending, where every test has been rejected, and that stands fresh and unchallenged is a different animal from a thin blot of retail churn, and it should not look the same on your chart.
BTCUSD
This is an order-flow reaction matrix, not a signal generator. It tells you where the auction has parked real liquidity, whether that liquidity is supply-side or demand-side, how many times price has tested it and held, how hard price was rejected on each hold, and which zone is the strongest one on the chart right now. The read is directional in the sense that you can see, at a glance, whether the session's volume structure is stacked with supply above or demand below — and whether the current candle is absorbing, exhausting, or stacking imbalance in real time.
🟢🔴 Summary how to trade this — more details below, read entire guide. Two clean approaches: react at the zone, or trade the break of it. Prefer STRONG / EXTREME grades and zones with high hold rates — the shallow low-graded zones tag constantly and mean little. The dashboard's Nearest ▲ / Nearest ▼ and Zone Status tell you instantly whether price is inside a volumetric wall or in open air. Runs on any timeframe with intrabar data available.
🧱 The Volume Core — the only source of truth. Every zone in this tool descends from a confirmed high-volume node in the actual volume-at-price histogram, never from a price-only pivot, never from an indicator line, never from a projected level. The engine requests lower-timeframe bars — auto-scaled from 1-second up to 5-minute depending on your chart — and decomposes each candle's range into volume-by-price bins. Buy volume and sell volume are tracked independently from the close-vs-open direction of every intrabar tick. The profile lookback is 300 bars by default and the bin resolution scales dynamically with ATR200, so the histogram adapts to the instrument's volatility without manual tuning. Nothing is drawn from a guess.
🔭 Lower-Timeframe Decomposition — Six granularity slots, auto-selected by default, running from 1-tick to 5-minute. Each confirmed chart candle is exploded into its internal sub-bars; volume is assigned to price bins based on the actual range covered by each sub-bar, not from a proportional tick-close estimate. Buy/sell classification follows the candle direction of the sub-bar itself. This is the reconstruction layer that separates a volume profile built from order flow from one built from assumptions. When the chart is on H4, the engine still reads M1 structure inside every bar.
◆ High-Volume Node Isolation — the signature carve. Within the global histogram, a bin must dominatepeakRadius neighbours on both sides (default 2) to qualify as a high-volume node — it is the local maximum of its neighborhood. A floor filter (minPeakPct of the POC volume, default 18%) eliminates statistical noise. All qualifying peaks are then sorted by absolute volume, strongest first, and the engine attempts to carve up tomaxZones zones (default 8), skipping any whose range overlaps an already-accepted zone. This is where the tool separates from a blob of undifferentiated volume bars: instead of forty equal-weighted histogram rows, you get a handful of bounded zones ranked by the actual liquidity parked inside them.
📐 Zone Edge Extension — Each confirmed node becomes a seed, and the zone expands outward bin-by-bin while neighbouring bins retain at leastnodeCut (default 40%) of the node's volume. Expansion halts atmaxSpan bins (default 2) to prevent overgrowth. The result is a bounded rectangular zone with a defined top, bottom, and mid-line — not a single price point, not an infinite band. The zone's width reflects the actual spread of significant volume around the node, not an arbitrary ATR multiple. Overlapping zones are rejected outright; only the strongest node survives at any price level.
🏷️ The 0–10 Strength Engine — Every zone carries a live grade with stars and a tier word WEAK → MODERATE → STRONG → VERY STRONG → EXTREME. The score is a weighted blend of five independently measurable properties, all derived from real volume and real price action:
▪️ Volume Share 3.5 — how much of the profile's total volume sits inside this zone, normalized against the strongest zone. The dominant term. A zone that holds 30% of the auction is not the same as one holding 3%.
▪️ Touch Count 2.5 — how many times price has entered and exited the zone across the full lookback. Normalized against 6 touches. A zone tested repeatedly has been confirmed by the market.
▪️ Hold Win Rate 2.0 — of all completed tests, what percentage resulted in a hold (rejection) rather than a break. A zone that defends itself 80% of the time is structurally different from one that folds on the first touch.
▪️ Freshness 1.0 — how recently the zone was last tested, normalized against the profile lookback. A zone untouched for 200 bars is fresher than one poked five bars ago.
▪️ Delta Skew 1.0 — the absolute buy-vs-sell imbalance inside the zone, normalized against a 35% threshold. A demand zone with 70% buy volume has institutional sponsorship; a 51/49 split does not.
Read the grade as a descriptive conviction ranking for which zone deserves your attention — it is not a backtested win-rate. A score filter hides everything below a level you choose, and a minimum-touch filter strips zones that have never been tested, so you can strip the chart down to STRONG and EXTREME only.
USDJPY
🔬 Per-Candle Strength Score — Independently, every confirmed candle receives its own 0–10 order-flow strength score, built from five micro-structural inputs: relative volume vs the 20-bar average, delta dominance (absolute delta / total volume), POC concentration (how much volume sits in the single busiest row), stacked imbalance run length, and value-area tightness. This is the engine that powers the Flow Signals — Absorption, Exhaustion, and Stacked Imbalance — and the dashboard's live candle readout. It tells you whether the bar you are looking at right now has order-flow weight behind it or is thin air.
🧬 In-Zone Statistics — Each zone is labeled at its center with its star grade, SUPPLY-SIDE or DEMAND-SIDE designation, the numeric score and tier, the volume share as a percentage of total profile volume, the number of completed tests, the hold win rate, the average reaction magnitude in multiples of ATR, and the buy/sell bias split. A typical label reads:★★★☆☆ DEMAND-SIDE · 6.2/10 STR · VOL 12% · TESTS 4 · HOLD 75% · REACT 2×ATR · DEMAND 68/32. Labels can be restricted by score and touch filters, or the text can be turned off entirely for a pure heatmap look. Four label sizes. Price tags at the right edge show the zone mid-line and score at a glance.
📊 Volume-At-Price Histogram — A full horizontal histogram drawn at the right side of the chart, extending beyond the zones. Each bar's width is proportional to the volume at that price level; color follows buy/sell dominance (demand vs supply palette), with the Master POC row highlighted in the dedicated POC color. A minimum-bin filter hides statistical dust. The histogram is the raw material from which every zone is carved — you see the mountain range and the zones simultaneously.
📐 Master POC & Value Area — The Point of Control (the single highest-volume price in the profile) is drawn as a continuous line spanning the full zone range and extending through the histogram, tagged with its exact price. The Value Area High and Value Area Low (default 70% of total volume) are drawn as dashed lines with labels. Together these three references give you the fair-value anchor for the entire lookback: price above VAH is in premium territory, price below VAL is at a discount, price inside the value area is at equilibrium.
🔬 Per-Candle Footprint — An optional intrabar footprint drawn inside the most recent N candles (default 10). Each row shows block-character bars proportional to volume or delta at that price level, color-coded by buy/sell dominance. Rows outside the candle's value area are muted; the POC row is highlighted. A value-area outline box frames the candle's internal equilibrium. On high-strength candles (score above a configurable threshold), the tier abbreviation is printed directly inside the footprint. This is the microscope — you see exactly where the volume parked inside the bar you just traded.
🎯 Naked POC Tracking — Optionally, every candle whose internal strength score exceeds a threshold spawns a dotted POC line that extends right until price actually trades through it. Once tested, the line is deleted. A cap on active naked POCs (default 8) keeps the chart clean. These are untested fair-value anchors — price tends to return to them, and their persistence means the auction has not yet cleared that liquidity.
NQ
⚡ Order-Flow Signals — Three micro-structural signals fire on confirmed bars:
▪️ ABS — Absorption. Delta dominance is high (>35%), but the candle body is small (<30% of range) and relative volume is elevated (>1.2×). One side absorbed the other's aggression without moving price. The direction hint points opposite to the absorbed delta: if selling was absorbed, the signal is bullish.
▪️ EXH — Exhaustion. Relative volume is elevated (>1.3×), delta is flat (<12%), and price closed near the high or low. Aggression was spent without conviction. The direction hint points away from the extreme: exhaustion at the high is bearish.
▪️ STK — Stacked Imbalance. Three or more consecutive rows of one-sided imbalance (buy vs adjacent sell, or vice versa, at the configured ratio, default 3×). A directional imbalance stack is a footprint of institutional execution.
Signals appear as tiny labeled markers at the high or low of the candle, color-coded by direction. They are not zone entries — they are real-time flow readings that confirm or deny what the zones are telling you.
📋 Live Command Dashboard — A compact panel that answers the questions you actually ask a volume-zone tool, organized into four sections:
▪️ LIVE ORDER FLOW — Bar Delta with a fill meter, Buy/Sell split with a dual-tone bar, Cumulative Volume Delta with trend arrows, Session Delta, Candle Score with tier, and the active Flow Signal with direction tag. This is the real-time pulse: who is hitting whom right now.
▪️ VOLUME PROFILE — Master POC price and position relative to close, Value Area range with a width meter, VA Location (inside or outside), and Profile Depth (bars processed, bins, zones carved). This is the structural map: where is fair value, how wide is it, how deep is the data.
▪️ REACTION ZONE RADAR — Up to six zones ranked by strength score, each showing price, star grade, score, bias (DEMAND / SUPPLY / BATTLE), test count, and hold win rate. The strongest zone on the chart is always row one. This is the hit list.
▪️ REGIME — Volatility state (COMPRESSED / NORMAL / EXPANSION) based on ATR14 vs ATR100, Zone Status (IN SUPPLY / IN DEMAND / OPEN AIR) with the in-zone score, and Nearest Supply / Nearest Demand with star grades. This is the tactical read: are you in a wall, are you in open air, how far to the next wall.
🔒 Non-Repainting — Lower-timeframe data is requested on confirmed bars only. Volume is accumulated into the histogram only after the chart bar closes. Zones are carved on the last bar of the chart from the completed histogram and then projected — they do not shift, flicker, or disappear retroactively within their lookback window. The candle strength score updates on confirmation. This is the honest tradeoff of order-flow structure: you wait for the bar to close, and in exchange the reading is real.
🔔 Native Alerts — Five condition alerts:
▪️ Volumetric Zone Entry — price enters any displayed zone.
▪️ Strong Volumetric Zone Entry — price enters a zone scoring 7+ (VERY STRONG / EXTREME). The one alert most people will actually run.
▪️ Volumetric Zone Exit — price leaves a zone.
▪️ High-Strength Candle — a confirmed candle scores 7+ on the order-flow engine.
▪️ Order-Flow Signal — an Absorption, Exhaustion, or Stacked Imbalance signal fires on any confirmed bar.
🎨 Five Theme Palettes — Obsidian Aurora (teal/coral/purple), Obsidian Gold (emerald/vermillion/gold), Deep Ocean (cyan/rose/indigo), Midnight Ember (mint/ember/amber), and Graphite Mono (silver/steel/white). Every palette is engineered for a pure-black chart background: deep, saturated, never toxic. Full custom override is available for demand, supply, POC, and accent colors. Zone shading scales opacity directly off the score — weak zones stay faint, extreme zones render solid. You read conviction with your peripheral vision before you read a single number.
Silver
🔧 Fully Customizable — Intrabar granularity (auto or manual), profile lookback, bin resolution, max zones, node isolation radius, min node volume, zone edge cutoff, max zone width, min tests and min score filters, right extension, zone text and price tag toggles, text size, mid-line width and fade, histogram toggle/width/floor, Master POC toggle, Value Area toggle and percentage, footprint toggle/bars/rows/type/max-length/candle-VA/strength-text/threshold, naked POC toggle/min-score/cap, signal toggle and imbalance ratio, dashboard toggle/position/size, theme selection, custom colors, and all five scoring weights for both zones and candles — all adjustable.
🎯 Why this is different — Most volume tools dump a histogram on your chart and leave you guessing which rows matter. Most zone tools draw every pivot they find with no weighting, no testing, no delta, no bias. This one reconstructs the order flow, carves zones from confirmed high-volume nodes, tracks how many times price tested each one and whether it held, measures the reaction magnitude, reads the buy/sell sponsorship inside the zone, and grades the result 0–10. You read the zone, the volume behind it, the delta skew, the hold rate, and the conviction score — at a glance. The chart itself does the filtering.
🚀 Apply to Gold XAUUSD, Silver, Forex, Crypto and Indices on any timeframe with intrabar data.
🎯 How To Trade It — Two Approaches
Everything hinges on the grade and the hold rate. A WEAK zone with no tests is noise you can see; a STRONG or EXTREME zone with a 70%+ hold rate and demand-side bias is where institutional volume has already defended. Trade the graded zones, and use the dashboard's Zone Status and Volatility Regime to confirm the trade has the right environment.
◾ 1 REACT at the zone — trade the rejection
This is the tool's core use. Price arrives at a high-graded zone and you fade the touch back toward the opposite side of the ladder.
▪️ Setup: wait for price to reach a STRONG / VERY STRONG / EXTREME zone — ideally one with a high hold rate and a clear DEMAND or SUPPLY bias. Check the dashboard: is it the top-ranked zone on the radar? Is the Volatility Regime in NORMAL or EXPANSION (not compressed — compressed means no fuel for a reaction)? Is the Candle Score on the approach bar showing Absorption or Stacked Imbalance in your direction?
▪️ Entry: on rejection out of the zone, with your own confirmation — a wick, an engulfing close, a lower-timeframe structure break, or an order-flow signal that validates the rejection. The zone is the location; it is not the trigger.
▪️ Stop: on the far side of the zone band. The zone has real width derived from the volume distribution — use it. A decisive close through the zone means the volume was cleared and the thesis is wrong.
▪️ Targets: the Nearest ▼ demand or Nearest ▲ supply on the opposite side, then step through the radar tier by tier, banking partials at each graded zone.
⚖️ The cleanest version: price runs into an EXTREME demand zone with 80% hold rate, the Candle Score on the approach prints ABS (absorption), the Volatility Regime shows EXPANSION, and price rejects on the first touch. First touches of fresh high-graded zones with order-flow confirmation are the setup; the fifth retest of the same zone is not.
◾ 2 TRADE THE BREAK — the zone flips role
The mirror case, and the one that saves you when approach 1 fails.
▪️ Setup: a decisive close through a high-graded zone — especially one with a strong hold rate — is meaningful information. It took real volume displacement to clear a level that the market had been defending. Check the delta inside the zone on the break bar: if the breaking candle has strong delta in the break direction, the liquidity was genuinely absorbed, not just pierced.
▪️ Entry: on the retest of the broken zone from the other side, once it has flipped from supply to demand or demand to supply. Wait for price to return to the zone and show respect — a wick, a small-body candle, an absorption signal.
▪️ Stop: back on the original side of the zone. If price reclaims it, the break failed and the original bias holds.
▪️ Targets: the next graded zone in the direction of travel, then the next. Use the radar: if all remaining zones in the direction are weak and untested, structure is thin and the move may extend.
⚖️ Watch the top-ranked zone on the radar. When the strongest zone on the chart breaks and holds as a flip, that is the session's structural event. The naked POCs ahead become magnets.
Rule of thumb: ⭐ First touch of a fresh STRONG / EXTREME zone with high hold rate and Volatility in NORMAL or EXPANSION → look for the rejection trade. ⭐ Decisive close through a high-graded zone confirmed by Candle Score and delta → stop fading it, wait for the retest and trade the flip. ⭐ Low grades, no tests, compressed volatility, or a zone already tested repeatedly → no trade. The score exists to tell you when to do nothing.
⚠️ IMPORTANT NOTICE: Strong Volumetric Zones maps and ranks volume-derived supply and demand zones from reconstructed lower-timeframe order flow. The 0–10 zone score is a descriptive conviction ranking built from volume share, touch count, hold win rate, freshness and delta skew — it is not a backtested win-rate, and this indicator tracks no trade outcomes and reports no performance statistics. The 0–10 candle strength score is built from relative volume, delta dominance, POC concentration, stacked imbalance and value-area tightness — also a descriptive reading, not a signal with a verified edge. Zones are locations, not entries. Volume accumulation occurs only on confirmed bars. These zones are decision support, not a standalone trade trigger. Always combine them with your own strategy, price-action confirmation and risk management. Past behavior does not guarantee future results. Indicator
Intraday RVOL Overlay: Time-of-Day Relative Volume
## Intraday RVOL Overlay — Time-of-Day Relative Volume
This indicator plots intraday relative volume directly on the price chart.
It is designed to answer a specific question:
Is today’s volume running above or below normal for this exact point in the trading session?
A standard volume moving average compares recent candles with other recent candles. That can be useful, but it does not account for the natural shape of intraday volume. Volume is usually heavier near the market open, often quieter around midday, and may increase again near the close.
This script takes a different approach. It compares today’s cumulative intraday volume with the average cumulative volume at the same time of day over previous trading sessions.
For example, if the chart is at 14:45, the script compares:
today’s cumulative volume from the start of the session up to 14:45
with
the average cumulative volume from the start of the session up to 14:45 over the selected lookback period
The result is shown as an RVOL multiple.
How RVOL is calculated
The script calculates:
RVOL = today’s cumulative intraday volume so far / average cumulative intraday volume by the same time of day
Example:
Today cumulative volume: 4.05M
Average cumulative volume by this time: 6.30M
RVOL = 4.05M / 6.30M = 0.64x
This means the symbol is trading at around 64% of its normal cumulative volume for that point in the session.
What makes this script different
This is not a basic volume moving average and it is not a standard RSI or moving-average crossover setup.
The original purpose of this script is to provide a time-of-day adjusted intraday volume comparison while keeping the information visible on the main price chart.
The script combines three ideas:
1. Cumulative intraday volume tracking
2. Historical same-time-of-day volume comparison
3. Price-chart overlay scaling
Instead of asking whether the current candle has high volume compared with the last few candles, it asks whether today’s total traded volume so far is high or low compared with what is normally expected at this stage of the session.
How to read the lines
The main RVOL line shows today’s cumulative intraday relative volume.
RVOL below 1.0x = volume is running below normal
RVOL around 1.0x = volume is running around normal
RVOL above 1.5x = volume is meaningfully above average
RVOL above 2.0x = volume is unusually strong
The script also plots reference lines:
1.0x average volume line
1.5x high-volume threshold line
If the RVOL line is below the 1.0x line, today’s cumulative volume is below average for this point in the session.
If the RVOL line is above the 1.5x line, today’s cumulative volume is meaningfully above average for this point in the session.
Important note about price scaling
RVOL is a ratio, not a price.
Because this script is plotted as an overlay on the main price chart, the RVOL values are visually mapped into a small band inside the recent price range.
This means the price-axis values shown beside the RVOL plots are only visual placement values. They are not support levels, resistance levels, targets, or actual price signals.
The overlay is price-scaled only so the RVOL information can be viewed directly alongside price action without requiring a separate indicator pane.
Inputs
Average over previous trading days
Controls how many prior trading sessions are used to calculate the average cumulative volume baseline.
Price scaling lookback bars
Controls the recent price range used to place the RVOL overlay band on the chart.
RVOL value plotted at top of band
Controls the visual cap for the overlay. For example, with a cap of 3.0, RVOL values of 3.0x or higher are plotted at the top of the visual band.
Overlay band position
Allows the RVOL band to be placed near the top or bottom of the price chart.
Overlay band height
Controls how much vertical space the RVOL overlay uses inside the price chart.
Fallback search minutes
Allows the script to look backwards for nearby historical volume slots when exact same-minute data is missing.
Suggested use
This indicator is intended for intraday charts.
Recommended chart timeframes:
5-minute
15-minute
1-hour
Supported chart timeframes:
Intraday charts from 1 minute upward
Not supported:
Seconds charts
Daily charts
Weekly charts
Monthly charts
Practical interpretation
This script can help give volume context to intraday price movement.
For example:
A price move with RVOL below 1.0x may be happening on weaker-than-normal participation.
A price move with RVOL above 1.5x may have stronger-than-normal participation.
A breakout attempt with RVOL above 2.0x may be occurring during unusually active trading.
This does not mean the move will continue. It only shows whether volume participation is above or below normal for that time of day.
Limitations
This script works best on liquid symbols with regular intraday trading activity.
Results may be affected by:
extended-hours data
half trading days
market holidays
trading halts
low-liquidity symbols
missing historical bars
unusual trading sessions
symbols with irregular volume patterns
The script does not generate buy or sell signals. It should be used as a volume context tool alongside price action, trend, liquidity, volatility, and risk management.
Disclaimer
This script is provided for educational and research purposes only. It is not financial advice. It does not predict price direction and should not be used as the sole basis for trading decisions.
Indicator
Market Weariness Spectrum Indicator [MarkitTick]💡 This advanced technical tool is engineered to evaluate the exhaustion of price trends by synthesizing volume, volatility, and price action into a single, comprehensive oscillator. By tracking how much effort the market is expending relative to the actual ground gained by price, this framework helps analysts identify periods of trend fatigue and potential reversals. Rather than relying solely on traditional price-based overbought or oversold levels, it looks deeper into market friction, signaling when a trend is mathematically likely to run out of steam and when a structural recovery is probable.
✨ Originality and Utility
Traditional momentum oscillators and standard volume metrics often operate in isolated silos, which can lead to false signals during strong, prolonged trends. This script bridges that gap by creating a multi-dimensional composite weariness score.
It detects structural exhaustion where high trading volume results in minimal price movement, indicating heavy absorption.
It measures the frequency of directional hesitation within recent price action.
It tracks effort density to provide a dynamic view of trend fatigue that single-metric indicators cannot achieve.
This multifaceted approach reduces false positives and provides a highly nuanced understanding of market mechanics during extreme conditions.
🔬 Methodology and Concepts
The core logic relies on the continuous calculation of three distinct dimensions, which are dynamically weighted and smoothed into the final composite oscillator.
● Dimension 1: Phantom Volume
This component measures the volume expended per unit of price movement.
It calculates the average volume divided by the average absolute price move over a specified lookback window.
Elevated values indicate that massive trading volume is generating very little forward progress, a classic sign of market friction.
The result is strictly normalized on a scale from 0 to 100 based on historical highest and lowest bounds over a derived lookback.
● Dimension 2: Directional Hesitation
This metric tracks the frequency of indecision in the market structure.
It evaluates the size of each candle's real body relative to the underlying Average True Range (ATR).
If a candle's body is less than a specific threshold of the ATR, it is flagged mathematically as a hesitation period.
The algorithm scores the percentage of these hesitation candles over the lookback window, normalizing the output from 0 to 100.
● Dimension 3: Effort Density
Effort Density compares the raw trading volume directly against the prevailing volatility range.
It identifies periods where the market is churning heavily without expanding its dynamic range.
Like the other dimensions, this value is smoothed, tracked against its historical extremes, and normalized to a 100-point scale for seamless integration.
● Composite Calculation and Signal Logic
The three dimensions are blended using precise, user-defined weights to form the raw weariness score.
A Simple Moving Average is applied to smooth the raw data, creating the primary indicator trajectory.
The script continuously evaluates the mathematical velocity and acceleration of this smoothed line to detect structural deceleration in weariness.
This logic triggers specific reversal signals only when extreme exhaustion mathematically begins to wane, rather than at the absolute peak.
🎨 Visual Guide
The system provides a rich, multi-layered visual experience to ensure all data is instantly readable directly on the chart.
● Chart Elements and Overlays
Candle Coloring: The main chart candles are dynamically colored based on the current weariness level, transitioning through a gradient of green, yellow, orange, and red.
Reversal Labels: Explicit downward-pointing labels appear on the chart when the weariness metric peaks above the critical threshold and structural deceleration is confirmed.
Recovery Labels: Upward-pointing labels signify that the market has recovered from a state of severe exhaustion, crossing back into baseline operational zones.
● Oscillator Panel
Oscillator Line: The thick main oscillator line representing the composite weariness score, dynamically colored.
Dimension Lines: Three distinct lines representing the individual calculations for Phantom Volume, Directional Hesitation, and Effort Density.
Threshold Fills: A semi-transparent visual fill highlights the specific zone between the critical alert level and the recovery baseline.
Critical Backgrounds: The oscillator panel background shifts color dynamically when weariness exceeds absolute critical limits.
● On-Chart Dashboard
Data Table: An intuitive, heavily formatted table tracks the exact percentage and text status of the current calculation.
Progress Bars: Text-based visual progress bars represent the isolated weight of each dimension in real-time.
Acceleration Trackers: Directional arrows track the direct acceleration vector of the current trend state.
📖 How to Use
The primary application of this system is identifying when a market move has exhausted its underlying momentum, regardless of the immediate price action.
● Identifying Exhaustion
Monitor the primary oscillator as it climbs toward the upper boundary.
When the line enters this critical zone, the current trend is expending maximum effort for minimal reward. Caution is advised for trend-continuation setups.
● Evaluating Reversals
Wait for the structural acceleration to turn negative.
When a reversal label manifests, it suggests that the exhaustion has structurally peaked and the market may be susceptible to a shift in directional momentum.
● Confirming Recoveries
After a period of extreme weariness, wait for the oscillator to fall back below the defined recovery threshold.
The appearance of a recovery label indicates the market has absorbed the previous friction, signaling a return to baseline conditions.
⚙️ Inputs and Settings
The script provides granular control over all internal weighting and lookback mechanisms.
● Core Parameters
Lookback: Defines the primary window for all moving averages and historical normalization extremes.
Smooth: Adjusts the sensitivity of the final composite score to reduce standard market noise.
ATR Len: The specific period used for calculating the volatility benchmarks essential to the Hesitation and Density formulas.
● Dimension Weights
W1 Phantom Vol: The proportional weight assigned to the volume-per-move calculation.
W2 Dir Hesit: The proportional weight assigned to the structural hesitation calculation.
W3 Effort Den: The proportional weight assigned to the volume-to-volatility calculation.
● Signal and Visual Thresholds
Crit Exh %: The strict upper boundary that defines extreme structural weariness.
Recovery %: The lower boundary that defines a complete return to standard market flow.
Confirm Bars: The sustained duration required for the indicator to remain in exhaustion before any subsequent reversal signals can be mathematically validated.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this logic rests heavily on established volume spread principles and statistical volatility analysis.
● Effort vs. Result Mechanics
In objective terms, when a system applies maximum input volume but achieves minimal price displacement, the energy is being absorbed by opposing liquidity.
The script quantifies this exact friction mathematically through specialized density formulas, filtering out traditional momentum illusions.
● Volatility Clustering
The hesitation frameworks rely on the statistical observation of volatility clustering.
By measuring continuous body size constraints relative to an evolving volatility band, the formulas isolate periods where directional conviction fundamentally collapses.
● Derivative Logic
The internal signal engine evaluates the specific velocity and acceleration vectors of the underlying weariness curve.
By requiring structural acceleration to turn decisively negative after a local maximum, the mathematical algorithm ensures the statistical apex of the exhaustion phase has cleanly passed before printing confirmation markers.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Banks Order BlocksBanks Order Blocks (BOB) with Dynamic Volume Tracking
Overview
The Banks Order Blocks (BOB) indicator is a highly advanced price action and volume analysis tool designed to identify significant supply and demand zones where institutional players (banks, market makers) are likely stepping into the market. Unlike traditional order block indicators that merely draw static boxes, BOB dynamically tracks market volume inside the order block zones bar-by-bar, giving you a real-time visualization of buying and selling pressure exactly where it matters most.
Key Features & The Core Mechanic
Dynamic Volume Bars: Whenever an order block is active or price returns to it, volume bars are drawn directly attached to the block. This allows you to visually gauge whether the market is defending the zone with high volume or abandoning it.
Smart State Management: The indicator intelligently manages "Active" and "Passive" blocks. When a new Bullish block forms, it becomes the Active one. If price action later dips back into an older, Passive block, the indicator instantly clears the old, cluttered volume data of that passive block and starts printing fresh volume bars from the exact candle that re-entered the zone. This is the core mechanic—you only see the volume that is relevant right now during a retest of conflicting zones.
Built-in Alerts: Stay informed with automated alerts for new order block formations, price re-entering a block, and high-volume directional candles forming inside a block.
Mid-line (0.5 Level) Tracking: Each block includes a dynamically drawn 50% (Equilibrium) dotted line, a critical level often defended by institutions.
How to Trade with BOB (Setup Guide)
1. The Primary Setup (Trend Continuation / Reversal)
Wait for a New Order Block to form (Green for Bullish/Demand, Red for Bearish/Supply).
Watch for the price to retrace and re-enter the active zone.
Confirmation: Look at the volume bars generating inside the block. A successful defense of a Bullish Order Block should show green volume bars heavily outweighing red ones, especially crossing above the local volume moving average (indicated by solid, non-transparent colors).
Entry: Enter on a high-volume directional candle closing inside or pushing away from the order block.
Invalidation: If a candle closes below the bottom of a Bullish block (or above a Bearish block), the thesis is invalidated, and the indicator will automatically delete the block.
2. The Clashing Zones Setup (Advanced Tactics)
Sometimes price action escapes an Active Bullish block and enters a higher, older Bearish block.
Because of BOB's Smart State Management, as soon as the price enters the opposing older block, fresh volume bars will start generating inside that specific zone.
Confirmation: You now have a real-time tug-of-war. Watch the volume bars forming in both the active and the passive block. Enter in the direction of the block that is printing aggressive, high-volume (solid color) bars, confirming institutional defense.
Customization
Pivot Length: Adjust the sensitivity of order block detection.
Optional Overlays: Easily toggle VWAP or various Moving Averages (SMA, EMA, WMA, RMA) directly from the settings to add confluence to your entries.
Disclaimer
The information and tools provided by this script are for educational and informational purposes only and do not constitute financial or investment advice. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research and consult with a certified financial advisor before making any trading decisions. The author is not responsible for any financial losses incurred while using this indicator. Indicator
Average Daily Range Percentage (ADR%) and Average Daily VolumeTwo critical pre-trade filters, always visible right on your chart.
Before entering any swing trade, you need to know two things: is this stock volatile enough to move your account, and is it liquid enough to trade cleanly? This indicator answers both questions at a glance.
**ADR% (Average Daily Range)** measures how much a stock moves on an average day. Too low and it won't move your portfolio. Too high and the daily noise will stop you out randomly. The color tells you where you stand instantly.
**ADV (Average Dollar Volume)** measures how much money flows through the stock each day. Liquid stocks respect key levels, pull back cleanly to moving averages, and don't gap randomly on low volume. Illiquid stocks do the opposite.
Both values are color-coded against your thresholds:
🟢 Green — within your ideal range
🟠 Orange — borderline, proceed with caution
🔴 Red — outside your criteria, skip it
Fully customizable:
ADR% and ADV thresholds
Warning zones for borderline values
Lookback periods for both calculations
Colors for good, warning, and bad values
Default thresholds are calibrated for swing traders. Adjust to match your account size and risk tolerance.
Built for swing traders who want clean, fast chart reviews without second-guessing liquidity or volatility on every name. Indicator
Candle Volume Decomposition [MarkitTick]💡 Standard volume analysis often falls short by presenting trading activity as a single, one-dimensional aggregate figure per period. This limitation obscures the true dynamics of market microstructure, leaving analysts guessing whether the volume was concentrated in the directional move of the body, or absorbed at the extremes as rejection wicks. This indicator reconstructs the volume profile of every single price candle by decomposing it into three distinct spatial zones: the Upper Wick, the Body, and the Lower Wick. By leveraging lower-timeframe data polling, it builds an intraday volume distribution for higher-timeframe candles, extracting critical insights such as Delta Pressure, Zone Concentration, Absorption, and Exhaustion, wrapping it all into an on-chart dashboard and advanced histogram.
✨ Originality and Utility
Most volume indicators attempt to map buying and selling pressure by looking at the close relative to the open or high/low range, applying a uniform formula to the entire bar's volume. This indicator breaks away from aggregate estimations by fetching strict lower-timeframe data and physically mapping it to the structural boundaries of the chart timeframe's candle.
The primary utility lies in its ability to reveal hidden liquidity mechanics. A candle with seemingly standard bullish volume might actually contain massive localized selling pressure entirely trapped within its upper wick. By isolating these zones, traders can definitively identify absorption, measure the efficiency of directional body moves, and detect localized exhaustion before price reverses. It effectively bridges the gap between basic volume bars and complex Order Flow footprint charts, delivering high-granularity data without requiring specialized tick-data feeds.
🔬 Methodology and Concepts
The script utilizes a lower timeframe polling array to dissect the current chart's candle structure. The mathematical methodology is broken down into the following core concepts:
Spatial Decomposition: The indicator calculates the precise price boundaries of the candle's body (Open to Close) and wicks (High to Body Top, Low to Body Bottom). As lower timeframe volume data is fed into the array, it allocates the volume proportionally based on where the lower timeframe price action occurred relative to the parent candle's zones.
Net Signed Volume: Instead of arbitrary coloring, the script calculates a net directional flow. Lower wick volume (demand/buying) is added, upper wick volume (supply/selling) is subtracted, and body volume is directionally signed based on whether the candle closed green or red.
Delta Pressure Index: A normalized ratio ranging from -1.0 to +1.0. It calculates the net difference between lower wick volume and upper wick volume relative to total volume. Positive values indicate demand dominance in the wicks, while negative values indicate supply dominance.
Volume Concentration (HHI): The Herfindahl-Hirschman Index is adapted here to measure zone dominance. By squaring the volume ratios of all three zones and summing them, it provides a score from 0.33 (perfectly equal distribution) to 1.0 (a single zone contains 100% of the volume).
Absorption & Exhaustion: Absorption is modeled by combining high total wick volume with a compressed body range. Exhaustion is triggered mathematically when the total volume residing in the wicks exceeds the body volume multiplied by a user-defined threshold, signaling potential structural failure.
🎨 Visual Guide
The indicator's visual outputs are highly detailed, split between the main price pane and the indicator pane.
● Main Chart Elements
Price Candles: The standard price candles are dynamically colored and faded. By default, they use "Net Signed Volume" coloring, transitioning between Deep Teal (Bullish Net) and Deep Red (Bearish Net). Furthermore, the transparency of the candles is completely dynamic; candles with absolute directional dominance are fully opaque, while candles with weak or highly contested net volume become transparent.
Wick Exhaustion Highlight: A distinct purple background flash appears on specific bars where wick volume overwhelmingly eclipses body volume, visually alerting the user to structural exhaustion.
Divergence Labels: Small, precise text labels reading "Vol ▲Div" (Teal) or "Vol ▼Div" (Red) appear above or below candles when volume divergences are detected between the price trend and the total volume trend over the specified lookback period.
Dashboard Table: Positioned in the top right, this matrix provides real-time scoring. It displays block-meters and color-coded text for Delta Pressure, Dominant Zone, CVD Bias, Body Efficiency, Absorption Score, Wick Exhaustion status, Zone Concentration, and the exact percentage breakdown of the three spatial zones.
● Indicator Pane Elements
Stacked Volume Columns: When in standard mode, the volume histogram represents the true spatial distribution. The Lower Wick volume is plotted at the base in vivid Cyan. The Body volume is stacked on top in either Teal or Deep Red. The Upper Wick volume completes the stack in vivid Red.
Net Signed Columns: When toggled via settings, the histogram switches to a baseline-centered momentum oscillator, plotting the absolute Net Signed volume above or below the zero line, instantly revealing the true directional aggression of the period.
📖 How to Use
Traders can deploy this indicator to validate breakouts, confirm reversals, and manage risk through superior tape reading.
Validating Breakouts: When observing a breakout candle, refer to the Dashboard's "Body Efficiency" metric. A high efficiency score combined with an opaque body color indicates that the majority of the volume supported the directional move. Conversely, if a breakout candle prints a high "Absorption" score and high wick concentration, the move is likely being faded by larger market participants.
Trading Reversals: The purple background flash (Wick Exhaustion) is a prime leading indicator. When this occurs at a known support or resistance level, it mathematically confirms that counter-trend limit orders have successfully absorbed the aggressive volume, halting the candle's progression.
Monitoring Cumulative Pressure: The CVD Bias metric in the dashboard maintains a running sum of Net Signed Volume. If price is making higher highs but the CVD Bias flips to Bearish, a structural divergence is occurring, warning of an impending pullback.
Interpreting Asymmetry: Watch the dominant zone metrics. Continuous lower-wick dominance during a downtrend suggests accumulation, as market participants repeatedly buy the dips within the micro-structure of the falling candles.
⚙️ Inputs and Settings
The script provides a modular architecture allowing users to tailor the calculations and visuals to their specific strategy requirements.
● Volume Profile & Display
Lower Timeframe: The critical input for data resolution. This must be set lower than the chart timeframe (e.g., 1-minute data for a 15-minute chart) to provide the necessary polling granularity.
Coloring Mode: Allows switching the price candles between "Net Signed Volume" (accounting for wick/body math), "Body Direction" (traditional close vs open), or turning it off entirely.
Dynamic Transparency: A toggle that maps the opacity of the price candles directly to the strength of the volume signal.
Signed Volume Mode: Toggles the indicator pane histogram between the 3-tier stacked spatial volume model and the zero-centered Net Signed Volume oscillator.
● Advanced Metrics & Dashboard
Metric Toggles: Users can individually enable or disable internal calculations for Delta Pressure, Asymmetry, CVD, Efficiency, Wick-to-Body Ratio, HHI, and Absorption to optimize performance or clear the data window.
Exhaustion Threshold: A float multiplier that determines how aggressive the wick volume must be compared to the body volume to trigger the purple background flash. Lowering this increases sensitivity.
Volume Divergence: Toggles the on-chart pivot detection, with a customizable "Lookback Bars" setting to determine the required span for identifying volume-price discrepancies.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this script is rooted in Market Microstructure and the mechanics of the Limit Order Book (LOB). Standard OHLC data suffers from temporal aggregation bias; it flattens the continuous auction process into discrete periods. By polling lower timeframe arrays, this indicator reconstructs the volume topology, mapping volume to price rather than just volume to time.
The integration of the Herfindahl-Hirschman Index (HHI) is a direct cross-application from macroeconomics and antitrust law, where it is traditionally used to measure market share concentration. In this script, HHI is brilliantly applied to spatial volume analysis to determine the "monopoly" of trading activity within a single candle. An HHI approaching 1.0 mathematically proves severe localized liquidity consumption, indicating an inelastic supply or demand wall at that specific price node.
Furthermore, the Delta Pressure and Absorption calculations mirror the dynamics of liquidity provision vs. liquidity taking. When a candle expands its range, aggressive market orders are consuming passive limit orders (high body efficiency). When a candle prints high volume but compresses its body range, aggressive market orders are being entirely absorbed by a dense wall of resting limit liquidity (high wick volume, high absorption score). This indicator translates these complex order-matching mechanics into a digestible visual hierarchy.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Institutional Displacement & Volume Delta [Bigbeluga]🔵 OVERVIEW
Institutional Displacement & Volume Delta is an advanced price action tool designed to identify high-conviction market moves, often referred to as "Displacement." It filters out market noise by highlighting candles that exhibit both significant price expansion and institutional-level volume.
By utilizing lower timeframe (LTF) data, the indicator deconstructs each displacement candle to reveal the internal "Buy vs. Sell" volume balance, allowing traders to see the true intent behind aggressive market shifts.
🔵 CONCEPT
Institutional Displacement — Identifies "Power Candles" that have a large body relative to their wicks, signaling a one-sided move by major market participants.
Volume Spike Filtering — Only qualifies a move as a "Shift" if the volume significantly exceeds a user-defined moving average.
Intrabar Volume Deconstruction — Uses a secondary, lower timeframe (e.g., 1m) to calculate exactly how much of a candle's total volume was dedicated to buying versus selling.
Internal Volume Blocks — Visually splits the body of displacement candles into color-coded sections (Buy Block and Sell Block) based on the internal delta ratio.
Market State Muting — Optionally mutes the color of "choppy" or low-volume bars to keep the focus purely on high-probability institutional activity.
🔵 HOW IT WORKS (IN-DEPTH)
1️⃣ Qualification of Displacement
The script first evaluates the "Body-to-Range" ratio. A candle must be mostly "body" (minimal wicks) to prove that the price didn't face significant rejection.
It then checks the Volume Multiplier. The volume must be X times higher than the 20-period average to confirm institutional "heavy lifting."
If both conditions are met, the bar is labeled a "Bullish Shift" or "Bearish Shift."
2️⃣ Lower Timeframe (LTF) Volume Analysis
Standard candles only show total volume. This indicator uses request.security_lower_tf to peak inside the bar.
It sums up every 1-minute (or user-defined) sub-candle to categorize volume as "Buy" or "Sell" based on the sub-candle's closing direction.
This calculation provides the Delta —the net difference between aggressive buyers and sellers.
3️⃣ Visual Representation
The main candle body is hollowed out, and a "Volume Block" is inserted inside.
The split point of the inner block represents the ratio of Buy vs. Sell volume. If a Bullish Displacement bar has a large Red inner block at the top, it may signal that sellers were heavily defending that area despite the bullish close.
Floating labels provide immediate access to the exact Volume and Delta figures.
🔵 KEY FEATURES
Precise Shift Identification: Combines price expansion (Displacement) with volume spikes.
Internal Delta Blocks: Unique visual deconstruction of candle volume ratios.
Institutional Dashboard: Displays real-time data for the most recent shift, including total volume, delta, and a session shift counter.
Muted Chop Mode: Grey-scales non-significant candles to highlight the "Path of Least Resistance."
Error Handling: Built-in notification if the user selects an LTF timeframe that is mathematically incompatible with the current chart.
🔵 DASHBOARD METRICS
Last Shift: Indicates the direction (Bullish/Bearish) of the most recent displacement.
Shift Vol: The total volume transacted during the most recent high-conviction move.
Shift Δ: The net delta of the last shift, showing the dominant aggressive party.
Shift Count: A running tally of Bullish vs. Bearish shifts since the chart was loaded.
🔵 HOW TO USE
Identifying Ignition: A Displacement bar appearing at a support or resistance level often marks the start of a new trend (Trend Ignition).
Spotting Traps: Look for "Bullish Shifts" where the Sell Block makes up a large portion of the candle body. This indicates heavy absorption by sellers and may lead to a failed breakout.
Confluence with Delta: Use the Dashboard's "Shift Δ" to confirm that the displacement move is backed by strong net buying/selling rather than just high-volume churn.
Exit Timing: If price enters a consolidation zone and the "Shift Count" starts alternating rapidly between Bullish and Bearish, it indicates institutional indecision.
🔵 CONCLUSION
Institutional Displacement & Volume Delta provides a specialized lens into market momentum. By focusing on displacement and the internal mechanics of volume, it helps traders align themselves with the "smart money" and avoid the low-probability volatility of retail-driven noise. Indicator
Breakout and Retest Signals - FloAlgoThis indicator detects breakout and retest signals by identifying key pivot zones and validating price rejection through wick sweeps and volume analysis.
How It Works
The script operates in three stages:
Pivot Zone Detection — Identifies swing highs and lows, then constructs zones anchored to the candle body and wick that formed the pivot. Demand zones span from body top down to wick low; supply zones span from wick high down to body bottom.
Rejection Validation — Confirms a valid signal when price sweeps beyond the zone extreme (wick tip) and closes back through the zone body, indicating institutional liquidity capture.
Volume Confirmation — Uses lower timeframe volume delta and buy/sell ratio to validate signal strength, filtering weak rejections with insufficient conviction.
Key Advantages
No Repaint — Single-period pivot detection ensures signals fire on confirmed historical bars, eliminating repaint delay between alert and visual.
Fixed Width Zones — Zones do not grow indefinitely; they are drawn with fixed horizontal width and trimmed only on signal, keeping charts clean.
Range-Based Overlap Guard — Demand and supply zones cannot overlap; range-based checking prevents conflicting zones from occupying the same price area.
Professional Visuals — No text labels or arrow clutter; only shaded zones and volume ratio splits for clean, professional appearance.
Accurate Zone Geometry — Zones anchored to actual candle body and wick formations, not flat ATR bands.
Auto-Cleanup — Zones are automatically removed one bar after signal or on expiry, preventing chart clutter.
Seconds Chart Support — Volume timeframe input guarded to prevent errors on sub-minute charts.
No Signal Conflicts — Removed confirmation divisor that caused opposing signals on the same bar.
Zone Lifecycle
Unlike traditional indicators that grow zones indefinitely, this script uses a fixed-width approach:
Zones are drawn from the pivot candle to a fixed future bar (born + maxLife)
Upon signal, the zone right edge is trimmed to the signal bar
The zone remains visible for one bar after the signal, then is automatically removed
Expired zones without signals are cleanly purged to prevent chart clutter
Visual Elements
Shaded boxes marking demand (green) and supply (red) pivot zones
Volume ratio split boxes within zones showing buy/sell pressure balance
Dashed target projection lines from signal bars
Zone borders fade and thin out after signal confirmation
Key Settings
Swing Length — Sensitivity of pivot high/low detection
Max Bars Active — Fixed horizontal width of zones in bars
Min Bars Between — Minimum bars between consecutive signals
Max Zones Per Side — Maximum active zones per direction
Volume TF — Frame for volume delta analysis
Show Ratio Split — Display buy/sell volume ratio inside zones
Show TP Line — Display target projection lines
Indicator
Indicator
Heatmap Liquidity Zones [BigBeluga]🔵 OVERVIEW
Heatmap Liquidity Zones is a higher-timeframe volume heatmap tool designed to reveal where liquidity is concentrated inside institutional ranges.
Instead of plotting a traditional volume profile, this indicator builds a dynamic heatmap across each selected higher-timeframe candle.
It highlights high-volume price clusters, filters significant liquidity zones, and extends them forward as actionable support/resistance levels.
The result is a clean liquidity map that visualizes where participation is strongest — and where reactions are most likely to occur.
🔵 CORE CONCEPT
HTF Range Segmentation — Each higher-timeframe candle (D/W/M or custom) defines a new accumulation range.
ATR-Based Adaptive Binning — Vertical bin size is derived from ATR to maintain consistent resolution across volatility regimes.
Volume Density Mapping — Volume is distributed into price bins and normalized relative to the highest-volume bin.
Liquidity Filtering — Only bins exceeding a configurable percentage threshold are promoted to active liquidity levels.
Self-Cleaning Zones — Liquidity levels automatically disappear once breached by price.
🔵 HOW IT WORKS
1️⃣ Higher-Timeframe Reset Logic
When a new selected HTF candle begins, the previous range is finalized.
A new accumulation range starts from that bar.
High and Low are tracked dynamically throughout the segment.
2️⃣ ATR-Based Bin Construction
ATR defines the vertical bin size (ATR × Multiplier).
The total range is divided into up to Max Bins.
This ensures bin resolution adapts automatically to volatility.
3️⃣ Volume Distribution
For each completed segment, volume is distributed into bins based on proximity to bin midpoint.
Volume per bin is normalized relative to the maximum bin.
Each bin is assigned a heat color based on relative density:
Low Density → Purple
Mid Density → Cyan
High Density → Yellow
4️⃣ Liquidity Zone Creation
If a bin exceeds the Liquidity Filter %, it becomes a tracked liquidity level.
Liquidity levels extend forward as horizontal lines.
The thickness is controlled by Liquidity Level Width.
Stronger zones display larger markers and percentage labels.
🔵 HEATMAP VISUAL STRUCTURE
Completed segments display full heatmap boxes across the range.
Active segment updates in real time.
Color intensity reflects liquidity concentration.
High-density zones stand out clearly for institutional reference.
🔵 OPTIONAL MOVING AVERAGE
Optional smoothing MA overlay (SMA, EMA, RMA, WMA, VWMA).
Hidden by default.
Can be used for confluence with liquidity zones.
🔵 KEY FEATURES
Higher-timeframe segmented liquidity mapping.
ATR-based adaptive resolution.
Three-stage heatmap gradient.
Configurable liquidity filtering.
Auto-expiring support/resistance levels.
Dynamic zone thickness based on volume strength.
Real-time developing heatmap.
Optional MA overlay.
🔵 HOW TO USE
Focus on yellow (high-density) zones for strongest liquidity pools.
Watch reactions at filtered liquidity levels.
Use HTF segmentation (Weekly/Monthly) to identify institutional positioning.
Combine with breakout tools for liquidity sweep setups.
Lower ATR multiplier → more granular liquidity clusters.
Higher Liquidity Filter % → only strongest zones remain.
🔵 INTERPRETING LIQUIDITY
High density near highs → potential distribution.
High density near lows → potential accumulation.
Clustered zones → compression areas before expansion.
Thin zones → low participation, faster price movement potential.
🔵 CONCLUSION
Heatmap Liquidity Zones transforms higher-timeframe volume into a structured liquidity map.
By combining ATR-adaptive binning, density-based heat gradients, and intelligent liquidity filtering, it highlights where institutional participation is concentrated — and where meaningful reactions are most likely.
This makes it especially powerful for identifying liquidity pools, sweep zones, and structural turning points. Indicator
Volumetric Pressure Gradient [JOAT]Volumetric Pressure Gradient
Introduction
Volumetric Pressure Gradient is an institutional-style volume location oscillator that converts rolling value distribution into a clean 0-100 pressure map. Instead of forcing the trader to interpret raw profile levels in price space only, the indicator rescales the Point of Control, Value Area High, and Value Area Low into the same oscillator space as current price location. This creates a direct view of whether price is trading above value, below value, or rotating through equilibrium.
The result is a cleaner decision tool for traders who want to understand auction positioning without cluttering the chart with a full profile rendering. It is designed to answer a simple but powerful question: where is price trading relative to where volume has actually concentrated?
Why This Indicator Exists
Value Location Context: Shows where price sits inside the recent auction range
POC Relationship: Highlights when price is trading above or below volume-weighted equilibrium
Value Area Awareness: Tracks whether price is stretching outside accepted value or rotating back into it
Momentum Confirmation: Uses consecutive closes relative to the scaled POC for cleaner pressure confirmation
Compact Visualization: Delivers profile intelligence in a sub-pane without overwhelming the chart
Core Components Explained
1. Rolling Volume Distribution
winHigh = ta.highest(high, lookback)
winLow = ta.lowest(low, lookback)
binSize = (winHigh - winLow) / bins
The indicator builds a rolling distribution over the selected lookback window using equal-width price bins. Each candle contributes volume into the bin that contains its midpoint. This keeps the logic fast, stable, and visually clean while still capturing where trade participation has concentrated.
2. Point of Control Calculation
The Point of Control is the bin with the greatest accumulated volume. It represents the most accepted price area inside the current rolling auction. When the oscillator is above the scaled POC, buyers are holding price above accepted value. When below, price is trading at a discount relative to the current volume center of gravity.
3. Value Area Expansion
vaTarget = totalVol * valueAreaPct / 100.0
Starting from the POC, the script expands upward and downward until the cumulative volume reaches the selected value area percentage. This produces a dynamic Value Area High and Value Area Low that respond to where trading activity is actually clustering.
4. Oscillator Normalization
oscillator = ta.ema((close - winLow) / range * 100.0, smoothLen)
Price location is transformed into a 0-100 oscillator so it can be compared directly against the scaled POC and value boundaries. This turns volume profile interpretation into a faster read:
Above POC = premium to value
Below POC = discount to value
Near Value Area High = acceptance near upper auction boundary
Near Value Area Low = acceptance near lower auction boundary
5. Pressure Confirmation Logic
The indicator tracks consecutive bars above or below the scaled POC. This avoids overreacting to one-bar noise and helps confirm whether price is actually sustaining premium or discount pressure.
Visual Elements
Main Oscillator: Color-switching pressure line based on price location relative to POC
POC Line: Gold equilibrium reference showing accepted value
VA High / VA Low: Soft boundary lines for the active value area
Gradient Fill: Bullish above POC, bearish below POC
OB/OS Background: Optional shading when price stretches to extremes
Momentum Markers: Compact confirmation triangles when above/below-POC pressure persists
Dashboard: Live readout of VAH, POC, VAL, width, position, and regime
Input Parameters
Lookback Bars: Window used for the rolling profile and oscillator normalization
Value Area %: Percentage of total volume used to define accepted value
Overbought / Oversold: Stretch thresholds for auction extremes
Momentum Confirm Bars: Required bars above or below POC before confirmation fires
Oscillator EMA: Smoothing applied to the normalized pressure line
How to Use This Indicator
Step 1: Identify whether the oscillator is above or below the POC. This tells you if price is trading at premium or discount relative to recent value.
Step 2: Check whether price is rotating inside value or expanding away from it.
Step 3: Watch for momentum confirmation markers when pressure sustains on one side of the POC.
Step 4: Use overbought and oversold conditions as context, not automatic reversal signals.
Step 5: Combine with structure or trend tools for directional execution.
Best Practices
Use on liquid markets where reported volume is meaningful
Treat the POC as equilibrium, not as guaranteed support or resistance
Combine premium/discount information with higher-timeframe structure
Momentum confirmation works best when the value area is not extremely narrow
Value area width can help identify compression vs expansion conditions
Indicator Limitations
This is a rolling approximation of value, not a full exchange-native volume profile engine
Very small lookbacks can make value levels overly reactive
Overbought and oversold readings can remain extended in strong trends
Value acceptance does not guarantee reversal
Volume quality varies by market and broker feed
Technical Implementation
Built in Pine Script v6 using:
Rolling bin-based volume distribution
POC-first value area expansion
Normalized 0-100 price-location oscillator
EMA smoothing for pressure readability
Consecutive-bar momentum confirmation
Non-repainting confirmed-bar updates
Originality Statement
This indicator is original in how it compresses profile-style value logic into an oscillator workflow. Rather than drawing a traditional profile on the price chart, it translates value, equilibrium, and range position into a compact pressure framework that is easier to combine with momentum and structure analysis.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves risk, including the risk of loss. Volume-based context improves decision quality, but it does not predict future price movement with certainty. Always use proper risk management and independent judgment.
-Made with passion by officialjackofalltrades
Indicator
Luminous Volume Flow Oscillator [Pineify]Luminous Volume Flow Oscillator
This indicator splits each bar's volume into buying and selling pressure using bar polarity — where the close sits within the high-low range — then smooths the net delta into a flowing oscillator. Unlike simple up/down volume counters that only compare close vs. open, bar polarity captures intrabar conviction: a close near the high with heavy volume tells a different story than a close near the midpoint. The result is a momentum-style oscillator driven by volume direction rather than price alone.
Key Features
Bar-polarity volume splitting that goes beyond basic open/close comparison
EMA-smoothed volume delta oscillator with dynamic gradient coloring
Signal line crossovers filtered by oscillator zone — buy signals only fire below zero, sell signals only above
Adaptive color intensity that scales to recent volume momentum range
How It Works
The calculation starts by classifying each bar's directional bias. If the close is closer to the high than the low — meaning (close − low) > (high − close) — the bar is considered buyer-dominated and the full volume is assigned as buying pressure. The inverse applies for seller-dominated bars. When the close position is ambiguous, the indicator falls back to a simple close-vs-open check.
Volume is split into buying (upVol) and selling (dnVol) components based on bar polarity
The raw volume delta (upVol − dnVol) is calculated — positive means net buying, negative means net selling
An EMA smooths the delta to filter out single-bar noise, producing the main oscillator line
A simple moving average of the smoothed delta creates the signal line for crossover detection
How the Components Work Together
The bar-polarity classification acts as the first filter: it determines who controlled the bar. The EMA smoothing then reveals the underlying trend in volume direction by stripping out random fluctuations. On top of this, the signal line provides timing — when the oscillator crosses the signal line, it suggests a shift in volume momentum direction.
The zone filter ties everything together. Buy signals require the oscillator to be below zero (net selling territory) when the bullish crossover occurs. This means you're catching potential reversals where selling pressure is already dominant but starting to weaken — not chasing after volume momentum is already extended. Sell signals work in reverse, firing only when the oscillator is above zero and bearish momentum starts to take over.
Trading Ideas and Insights
When the oscillator crosses above the signal line while below zero, it may indicate that selling pressure is exhausting and buyers are stepping in — consider this a potential early reversal signal rather than a confirmed trend change
Divergence between price making new highs and the oscillator failing to do so can flag weakening conviction behind the move
The histogram gradient intensity provides a quick visual read: deep, saturated colors mean strong directional volume; faded colors suggest the move is losing participation
Note that bar-polarity volume splitting is an approximation — it doesn't use actual tick-level order flow data. During low-volume or choppy sessions, the oscillator can produce noise even after EMA smoothing. Combine with price structure or trend context for better results.
Unique Aspects
Bar polarity is a more nuanced volume classification than simple candle direction. A bullish candle with its close near the midpoint gets less credit than one closing near the high — this distinction matters in real markets where wicks tell the story
The zone-filtered signal approach acts as a built-in mean-reversion guard. Rather than generating signals at momentum extremes (where risk/reward deteriorates), it targets the inflection zone where directional volume is shifting
Dynamic gradient scaling using a 100-bar lookback means the color intensity adapts to recent conditions — a moderate reading in a low-volatility period still shows up clearly
How to Use
Add the indicator to your chart. The histogram shows the smoothed volume delta — bars above zero indicate net buying pressure, below zero net selling
Watch for the gray signal line crossovers. A crossover while the histogram is below zero is a potential buy setup; a crossunder while above zero is a potential sell setup
Use the gradient color intensity as a confidence gauge — stronger colors mean more decisive volume flow in that direction
Set up alerts for automated notifications when buy or sell conditions trigger
Customization
Volume Smoothing Length (default: 14) — Controls how much the raw volume delta is smoothed. Higher values produce a calmer oscillator but introduce more lag; lower values are more responsive but noisier
Signal Line Length (default: 9) — Sets the SMA period for the signal line. Shorter lengths generate more frequent crossovers; longer lengths filter out minor fluctuations
Bullish / Bearish Color — Customize the gradient palette for positive and negative volume flow
Show Signals / Histogram / Signal Line — Toggle individual visual components on or off to declutter the chart
Conclusion
The Luminous Volume Flow Oscillator turns raw volume into a directional momentum reading by splitting each bar's volume according to where price closed within its range. The zone-filtered signal approach keeps entries focused on inflection points rather than chasing extended moves. It works best as a confirmation tool alongside price action or trend-following methods — volume tells you the conviction behind a move, but never the whole story on its own.
Indicator
Smart Trend [Zofesu]Smart Trend is an ATR-based trend following indicator extended with two original filtering layers not present in standard Supertrend implementations: a Hull Moving Average macro trend filter and a Volume Percentile Rank confirmation system.
The ATR trailing stop concept is well established in technical analysis. The original additions in this script are the dual-filter architecture and how the three layers interact to produce signals only when all conditions align.
─────────────────────────────────────
01 — What is Smart Trend?
─────────────────────────────────────
Smart Trend plots a dynamic trend line based on ATR volatility. The line trails price and flips direction when price breaks through it with volume confirmation. Two additional filters gate the signals — ensuring entries align with both macro trend direction and institutional volume participation.
The result is fewer but higher-quality signals compared to a standard ATR trailing stop.
─────────────────────────────────────
02 — Three-Layer Architecture
─────────────────────────────────────
Layer 1 — ATR Trend Engine (Core)
The trend line is calculated using ATR × multiplier applied to high/low. It trails in the direction of the trend and flips only when price closes on the opposite side with confirmation.
Upper band = high - (ATR × multiplier) — support in uptrend
Lower band = low + (ATR × multiplier) — resistance in downtrend
The trend line locks at the highest support or lowest resistance seen during the trend — it only moves in the direction of the trend, never against it.
Layer 2 — HMA Macro Filter (Original)
A Hull Moving Average with a long smoothing period (default 500) acts as a macro trend filter. When enabled, signals are only shown when the ATR trend direction agrees with the HMA macro direction. Conflicting signals (ATR bullish but price below HMA) are shown in gray — indicating low-confidence state.
This filter is the key difference from a standard Supertrend. It eliminates counter-trend entries in strongly trending markets.
Layer 3 — Volume Percentile Rank (Original)
A trend flip requires not just a price break but also a volume confirmation. Volume is ranked as a percentile over 500 bars. A flip only occurs if current volume rank exceeds the configured threshold (default 40th percentile).
This prevents trend flips on low-volume, potentially false breakouts.
─────────────────────────────────────
03 — Settings
─────────────────────────────────────
ATR Period — default 25
Lookback for ATR calculation. Higher = smoother trend line, less reactive.
Volatility Multiplier — default 3.2
Controls band width. Higher = fewer flips, stays in trend longer. Lower = more reactive, more signals.
Enable Main Trend Filter — default on
When on, signals require HMA macro trend agreement. When off, raw ATR signals only.
Main Trend Smoothness (HMA) — default 500
HMA length for macro trend. Higher = slower macro trend, fewer conflicting signals filtered out.
Show Background Bias Tint — default on
Green background = macro trend bullish. Red = macro trend bearish. Gray = conflicting state.
Require Volume Confirmation — default on
When on, trend flips require volume rank above threshold.
Volume Percentile Rank — default 40
Minimum volume percentile required for a trend flip. 40 = volume must be in top 60% of last 500 bars.
─────────────────────────────────────
04 — Signal Colors
─────────────────────────────────────
🟢 Teal line — ATR trend bullish, confirmed by HMA filter
🔴 Red line — ATR trend bearish, confirmed by HMA filter
⚫ Gray line — ATR trend direction conflicts with HMA macro trend — low confidence, avoid trading
BUY label — trend flipped bullish with all filters aligned
SELL label — trend flipped bearish with all filters aligned
─────────────────────────────────────
05 — How To Use
─────────────────────────────────────
Step 1 — Check background color
Green tint = macro trend bullish, look for longs only.
Red tint = macro trend bearish, look for shorts only.
Step 2 — Wait for trend line flip
BUY label = trend flipped to bullish with volume confirmation.
SELL label = trend flipped to bearish with volume confirmation.
Step 3 — Check line color
Teal or Red = high confidence signal (all filters aligned).
Gray = skip — ATR and HMA disagree.
Step 4 — Alerts
Two alert conditions are pre-configured:
Smart Trend: BUY Signal
Smart Trend: SELL Signal
─────────────────────────────────────
06 — Best Timeframes
─────────────────────────────────────
H1, H4 and D1 produce the most reliable signals with default settings.
On lower timeframes consider reducing the ATR Period to 14 and Volume Percentile to 30.
On higher timeframes (W1) consider increasing the ATR Period to 34+.
Works on all asset classes: Indices, Forex, Gold, Oil, Crypto. Indicator
Institutional Volume Flow [BigBeluga]🔵 OVERVIEW
Institutional Volume Flow is a higher-timeframe segmented developing volume profile tool designed to reveal where institutional participation is building inside active price ranges.
Instead of plotting static session profiles, this indicator dynamically tracks the developing High, Low, Midpoint, and Point of Control (POC) for each selected higher-timeframe segment (Daily, Weekly, or Monthly).
It allows traders to visualize where volume is accumulating in real time - and where dominant positioning is forming before the segment closes.
The result is a structural + volume hybrid framework that exposes institutional footprints inside expanding ranges.
🔵 CORE CONCEPT
HTF Segmentation - The chart is divided into higher-timeframe segments (D/W/M). Each new segment starts a fresh developing volume profile.
Developing Range Logic - High and Low levels continuously update during the segment, defining the active institutional range.
Volume Distribution Mapping - All traded volume inside the segment is distributed across price bins to build a live volume profile.
Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar.
Institutional Bias Detection - Background coloring adapts depending on whether price is trading above or below the segment midpoint.
🔵 HOW IT WORKS
1️⃣ Segment Detection
A new segment begins whenever the selected higher timeframe changes.
All volume and price calculations reset at the start of a new segment.
Previous segments are frozen and preserved on the chart for historical reference.
2️⃣ Developing High / Low Structure
The highest high and lowest low inside the current segment update dynamically.
A midpoint (average of High and Low) is calculated to represent internal balance.
These levels extend forward visually for clarity.
3️⃣ Volume Profile Construction
The price range is divided into user-defined bins (Volume Profile Bins).
Each bar’s volume is assigned to the corresponding price bin.
Volume accumulates throughout the segment.
Box width represents relative volume intensity at that level.
The strongest node becomes the Point of Control (POC) .
Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar during Segment developing.
4️⃣ Developing vs Frozen Profiles
The active segment shows a developing profile that updates in real time.
When a new segment begins, the completed profile is frozen.
This allows comparison between current positioning and previous institutional distributions.
5️⃣ Volume Spike Detection (Z-Score)
A 50-bar rolling mean and standard deviation are used.
When volume significantly exceeds normal distribution, the range fill intensifies.
This highlights abnormal participation inside the active range.
🔵 KEY FEATURES
Higher-timeframe segmentation (Daily / Weekly / Monthly).
Developing High, Low, and Midpoint levels.
Bias-based profile coloring : green above midpoint, blue below midpoint.
Real-time rolling Point of Control.
Customizable number of volume bins for precision.
Adjustable profile width for clear visualization.
Frozen historical profiles for structural context (with preserved bias color).
Z-score volume spike detection.
Institutional range bias shading at segment start/end.
🔵 HOW TO USE
Watch where price interacts with the developing POC — this often signals value acceptance or rejection.
Use the segment midpoint to gauge balance vs imbalance.
Treat green profiles as bullish-leaning segments (close above mid) and blue profiles as bearish-leaning segments (close below mid).
Observe whether volume builds near highs or lows — this can indicate accumulation or distribution.
Monitor frozen prior segments to identify high-volume memory zones.
Use volume spikes to detect aggressive participation inside developing ranges.
Combine with liquidity tools or order blocks for confirmation.
🔵 INTERPRETING INSTITUTIONAL FLOW
Expanding range + rising POC → value shifting.
Contracting range + stable POC → consolidation.
Heavy volume near extremes → potential absorption.
POC migration during trend → institutional repositioning.
🔵 CONCLUSION
Institutional Volume Flow transforms higher-timeframe segmentation into a live institutional positioning map.
By combining structural range development with rolling volume profiling and abnormal volume detection, it provides traders with a powerful way to understand where participation is building - not just where price is moving.
It is especially effective for identifying accumulation, distribution, and value shifts before a higher-timeframe candle closes. Indicator
Indicator
Kalman Volume Trend [BigBeluga]🔵 OVERVIEW
Kalman Volume Trend is an advanced trend-following system that combines the predictive power of a Kalman Filter with real-time volume delta analysis. Unlike standard moving averages that suffer from significant lag, the Kalman Filter uses a recursive mathematical algorithm to estimate the "true" trend by filtering out market noise.
The indicator not only identifies directional regimes but also visualizes the intensity of buying and selling pressure directly on the trend line, providing a multi-dimensional view of market conviction.
🔵 CONCEPT
Kalman Filter Logic — A state-space model that predicts price movement and then corrects itself based on new data, resulting in a smoother yet more responsive trend line than traditional EMAs.
Adaptive ATR Bands — The trend direction is determined by price breaking through volatility-adjusted bands, reducing whipsaws in sideways markets.
Volume-Weighted Trend Lines — The indicator plots "Volume Bars" extending from the trend line, where the length and color represent the relative strength of the volume delta.
Cumulative Trend Statistics — It tracks the total buy volume, sell volume, and net delta from the exact moment a new trend begins.
🔵 HOW IT WORKS (IN-DEPTH)
1️⃣ The Kalman Filtering Process
The script utilizes two primary parameters: Process Noise (Q) and Measurement Noise (R) .
It calculates a "State Estimate" (the trend) by balancing its previous prediction against the current price.
If the price is "jittery" (high R), the filter smooths the line; if the trend is moving decisively (low Q), it tracks the price more aggressively.
2️⃣ Trend Direction & Volatility Bands
Two bands are projected around the Kalman line based on a multiplier of the Average True Range (ATR) .
A Bullish trend is triggered when price closes above the upper band.
A Bearish trend is triggered when price closes below the lower band.
Once a trend is established, the opposite band acts as the trailing "Trend Line" to provide a clear buffer for price fluctuations.
3️⃣ Volume Delta Visualization
Small vertical candles ("Volume Bars") are plotted along the trend line.
These bars represent the Normalized Volume Delta (Close vs. Open and Volume intensity).
Large bars indicate high-conviction participation, while small bars suggest waning interest or consolidation.
4️⃣ Extreme Volume & Cumulative Dashboard
When volume exceeds 1.5x its recent average, an "X" label appears on the chart to mark an Exhaustion or Ignition point.
A bottom-right dashboard displays a vertical histogram showing the balance of power (BUY vs. SELL vs. DELTA) for the current trend only .
🔵 KEY FEATURES
Recursive Kalman Algorithm: High-accuracy trend tracking with minimal lag.
Integrated Volume Profiling: See volume delta without needing a separate sub-window.
Dynamic Trend Dashboard: Automatically resets at every trend flip to show fresh volume stats.
Volatility-Aware: Uses 200-period ATR to ensure bands adapt to changing market conditions.
Volume Extreme Alerts: Identifies high-volume spikes that often precede trend reversals.
🔵 DASHBOARD METRICS
BUY — Total volume accumulated on bullish candles since the trend started.
SELL — Total volume accumulated on bearish candles since the trend started.
DELTA — The net difference between buying and selling pressure.
TOTAL VOLUME — The total "fuel" spent during the current directional regime.
🔵 HOW TO USE
Riding the Trend: Stay in the trade as long as the Kalman line color remains consistent.
Spotting Weakness: If the Kalman line is Bullish (Blue) but the Volume Bars are consistently negative or shrinking, the trend may be losing steam.
High-Volume Breakouts: Look for the "X" labels at the start of a trend shift; this confirms institutional participation in the new direction.
Dashboard Confirmation: Use the vertical histogram to confirm if the buyers or sellers are truly in control during a pullback to the trend line.
🔵 CONCLUSION
Kalman Volume Trend offers a sophisticated approach to trend analysis by merging high-level signal processing with raw volume data. By focusing on "clean" price data and weighting it with volume delta, it helps traders filter out market noise and focus on high-conviction movements. Indicator
Volume Spread Analysis IQ [TradingIQ]Hello Traders!
🔹Volume Spread Analysis IQ
This indicator was most voted on for our indicator competition - so here it is! Hope you guys like it :D
Volume Spread Analysis IQ is a chart-reading tool built to help traders judge effort, result, and background context in a way that is visual and practical.
Instead of forcing you to interpret volume and spread in isolation, this indicator organizes what the bar is doing into a readable structure so you can quickly see when the market is showing:
low participation
high participation
narrow or wide spread
potential hidden strength
potential hidden weakness
contextual VSA signals such as No Demand, No Supply, Upthrusts, Shakeouts, and Stopping Volume
🔹Why Effort vs Result Matters in Volume Spread Analysis
The following information is relevant to VSA interpretation.
In any market, price movement is the visible outcome of an underlying battle between buyers and sellers. Volume represents the effort being applied in that battle, while the spread of the candle reflects the result of that effort.
When effort and result move together, the market is behaving efficiently. High effort producing a large price move suggests strong conviction and participation. In trending conditions this often confirms that the dominant side of the market is still in control.
However, when effort and result begin to diverge, it can reveal hidden information about what is happening beneath the surface.
For example:
High effort with very little upward progress may indicate that strong selling pressure is absorbing buyers. Even though buyers are active, their effort is not producing meaningful results. This type of imbalance can appear before weakness develops.
Likewise, high effort with very little downward progress can signal that sellers are being absorbed by hidden demand. Large amounts of selling activity fail to push price lower, suggesting accumulation may be taking place.
Low effort situations are also informative. A rally with very low effort often lacks participation and can signal weak demand, while a selloff with very little effort can suggest that selling pressure is fading.
From a structural perspective, the effort/result relationship helps traders distinguish between moves driven by genuine participation and moves that occur simply because the market is temporarily thin. This distinction can be important when evaluating breakouts, pullbacks, or potential reversals.
In short, effort tells you how hard the market is trying to move, while result tells you how successful that attempt actually was. When these two fall out of balance, it often reveals shifts in supply and demand before they become obvious on price alone.
🔹What the indicator shows🔹
🔸Background bias
Each candle is tinted to reflect the recent VSA background. This helps you judge whether the market is currently leaning strong, weak, or neutral based on the recent flow of bullish and bearish evidence.
🔸Effort vs. Result view
The lower panel converts both volume and spread into easy-to-read rankings from 1 to 10.
Effort represents how active the market is.
Result represents how much price actually moved.
🔸Per-candle labels
Optional candle labels show a simple readout for each bar:
R = Result rank
E = Effort rank
🔸Effort vs. Result summary table
A live table on the chart shows the current effort rank, result rank, and the current interpretation of their relationship.
🔸Key VSA event markers
The script marks classic VSA conditions directly on the chart when they appear in the proper context:
No Demand
No Supply
Upthrust
Shakeout
Stopping Volume
🔹How to read it
Effort asks: How much activity came into this bar?
Result asks: How much did price actually move?
Background asks: Is recent behavior supporting strength or weakness?
This combination helps separate bars that look dramatic from bars that are actually meaningful.
For example:
High effort with poor upward result can hint that buying is struggling
High effort with poor downward result can hint that selling is being absorbed
Low effort rallies can warn of weak demand
Low effort selloffs can suggest supply is drying up
🔹Signal overview
No Demand
Highlights weak upward bars with low participation.
No Supply
Highlights weak downward bars where selling pressure appears limited.
Upthrust
Marks a rejection bar that appears in weak background conditions and can warn of downside risk.
Shakeout
Marks a lower rejection bar that appears in strong background conditions and can suggest bullish intent.
Stopping Volume
Flags heavy selling activity that may be halting a move lower. Context matters. In strong background it can be bullish. In weak background it can simply pause price before weakness resumes.
🔹Why this indicator is useful
Many traders can see volume. Far fewer can quickly judge whether that volume actually meant anything.
This tool is designed to help with exactly that.
It gives you:
a cleaner way to read volume and spread together
fast recognition of effort versus result imbalance
background context instead of isolated signals
VSA-style event labeling without requiring a cluttered chart
friendly settings for newer users, plus advanced overrides for experienced users
🔹Best use cases
confirming whether breakouts have real participation
spotting weak rallies and weak selloffs
judging whether aggressive bars are efficient or wasteful
finding VSA-style reversal or continuation clues
adding context to your existing market structure, liquidity, or price action model
🔹Important note
This indicator is a chart-reading tool , not a promise of outcomes. VSA works best when signals are interpreted in context, not taken mechanically one by one.
Use the background, the effort/result relationship, and the signal location together.
Important consideration
We scoured the internet, books, you name it to find detailed information on VSA techniques. That said, information is sparse and conflicting depending on where you look. We relied mostly on gold standard literature. However, the information in that literature is far from objective.
Many descriptions are similar to…
“An upthrust is a bar that pushes up and then fails, showing rejection of higher prices, usually in a weak background.”
Coding this requires interpretation by the engineer - there aren’t exact rules to follow. This means the indicator’s presentation of an upthrust, shakeout, etc. might not always align with your definition of those events.
You can customize the settings to force the indicator to better match your interpretation.
🔹Inputs you can customize
The script includes simple user-friendly controls such as:
What counts as a small body
What counts as a long wick
How strict close location should be
How strict spread and volume classifications should be
How much background proof you want before the indicator leans strong or weak
Whether to use broader or more traditional No Demand / No Supply logic
Whether Shakeouts and Upthrusts should require clear trend alignment
Advanced users can also enable raw threshold overrides for finer control.
🔹Closing Notes
And that’s about it!
This script might receive updates in the future if the community asks for it - stay tuned!
Thank you PulseWire as always!
Indicator
Liquidity Thermal Map [BigBeluga]🔵 OVERVIEW
Liquidity Thermal Map visualizes where the highest traded volume has accumulated across price levels over a fixed lookback period.
Instead of plotting classic volume profiles with bars, the indicator builds a horizontal thermal heatmap directly on the chart, highlighting areas of strong and weak liquidity using smooth color gradients.
This makes it easy to identify high-interest price zones, volume clusters, and the dominant Point of Control (PoC) at a glance.
🔵 CONCEPTS
Price-Level Volume Aggregation — The indicator divides the entire price range of the selected lookback period into fixed horizontal bins.
Volume Binning — Each bin accumulates total traded volume whenever price closes near its midpoint.
Thermal Gradient Mapping — Volume intensity is translated into a color gradient, forming a continuous liquidity heatmap.
Point of Control (PoC) — The price level with the highest accumulated volume is highlighted using a distinct PoC color.
🔵 FEATURES
Liquidity Heatmap — Displays horizontal volume concentration directly on the chart background.
Fixed Resolution Bins — Uses 30 evenly spaced price levels to maintain a clean and readable structure.
Adaptive Lookback Period — Volume is calculated only within the user-defined historical window.
Two-Stage Color Gradient —
• Low volume → transparent / muted tones
• High volume → stronger, warmer colors
PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label.
Range-Aware Scaling — Automatically adapts to the highest and lowest prices within the lookback period.
🔵 BUY / SELL LIQUIDITY SCALE
Directional Liquidity Breakdown — The vertical scale on the right side summarizes how total traded volume is distributed between bullish and bearish candles within the analyzed range.
Buy Liquidity (Green) — Represents the total traded volume during candles that closed higher than they opened.
This approximates aggressive buying pressure and shows how much volume has accumulated below the current price.
Sell Liquidity (Red) — Represents the total traded volume during candles that closed lower than they opened.
This reflects periods where selling pressure dominated and shows how much volume accumulated above the current price.
Liquidity Percentage — Each side displays the percentage share of total traded volume.
This helps quickly identify which side of the market controlled the majority of activity within the lookback range.
Volume Imbalance — The Imbalance value at the top shows the absolute difference between total buy and sell liquidity.
A larger imbalance suggests stronger directional dominance from either buyers or sellers.
Interactive Hover Details — Hovering over the liquidity bars reveals a tooltip showing the exact accumulated volume for that section (for example total liquidity below the current price).
This allows traders to quickly inspect how much volume has been concentrated on each side of the market.
Visual Pressure Gauge — The vertical red/green bar acts as a quick visual gauge of market pressure, allowing traders to instantly see whether buyers or sellers dominate liquidity within the selected range.
PoC Highlighting — The most traded price level is emphasized with a dedicated PoC color and volume label.
🔵 HOW TO USE
Identify Liquidity Clusters — Bright or dense zones indicate prices where significant trading activity occurred.
Support & Resistance Context — High-volume zones often act as reaction areas for price.
PoC Tracking — The PoC shows where the market spent the most time and volume.
Breakout Awareness — Moves away from dense liquidity areas may signal expansion into lower-volume zones.
Contextual Analysis — Use the heatmap as a background liquidity reference alongside trend or structure tools.
🔵 VISUAL LOGIC
Cooler Colors — Lower volume participation.
Warmer Colors — Higher volume concentration.
PoC Label — Displays the exact volume value of the strongest liquidity level.
🔵 CONCLUSION
Liquidity Thermal Map provides a clean, intuitive way to visualize where liquidity truly exists across price.
By transforming raw volume data into a continuous thermal layer, it helps traders quickly locate dominant trading zones, identify high-interest price levels, and better understand how volume is distributed within the market.
Indicator
Net Volume (BV-SV) Per Bar / Rolling Toggle (V6) - TP## Net Volume (BV-SV) – Per Bar / Rolling Toggle
This indicator estimates whether a bar (candle) had **more buying pressure or selling pressure**, using only the candle’s **high, low, and close** plus the bar’s **volume**.
It plots:
* **Per-bar Net Volume** (raw, bar-by-bar pressure)
* **Rolling Net Volume** (pressure summed over your chosen lookback, e.g., 20 bars)
* Or **Both**, depending on your Plot Mode.
A **zero line** is included as the “balance point”:
* Above zero = net buying pressure
* Below zero = net selling pressure
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## How the calculation works (simple explanation)
PulseWire does not provide true “buy volume vs sell volume” from the tape for stocks, so this script uses a common estimate:
* If the candle **closes near the high**, it assumes more of the day’s volume was “buying pressure.”
* If the candle **closes near the low**, it assumes more was “selling pressure.”
* If the candle **closes near the middle**, it assumes buying and selling were more balanced.
### Estimated volumes
* **BV (Buy Volume estimate)** = portion of volume attributed to buyers
* **SV (Sell Volume estimate)** = portion of volume attributed to sellers
### Net Volume
* **Net Volume = BV − SV**
* Positive = net buying pressure
* Negative = net selling pressure
### Rolling Net (optional)
Rolling Net simply **adds up Net Volume** over the last *N* bars (lookback):
* Helps you see the *bigger picture* and reduce noise.
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## How to use it (practical)
### 1) Per-bar Net (most “raw” view)
Use this when you want to see **immediate pressure** each bar.
* **Green / positive** bars/line = buyers controlled that bar
* **Red / negative** bars/line = sellers controlled that bar
* Frequent flips are normal in choppy markets
**Good for:**
* spotting sudden demand/supply spikes
* confirming breakout candles (net turning strongly positive)
* confirming breakdown candles (net turning strongly negative)
### 2) Rolling Net (smoother, trend/flow view)
Use this when you want to know whether the last *N* bars overall show **accumulation or distribution**.
* Staying above zero = buyers dominating over the lookback
* Staying below zero = sellers dominating over the lookback
* Crossing zero = possible shift in control (buyers↔sellers) over that window
**Good for:**
* trend confirmation
* filtering trades (avoid longs when rolling net is deeply negative, etc.)
* spotting transitions after consolidation
### 3) Both (best for confirmation)
Use Both when you want:
* the **rolling line** for overall bias
* the **per-bar line** for timing entries/exits
Example logic:
* Rolling Net above 0 + Per-bar Net flips positive → stronger long confirmation
* Rolling Net below 0 + Per-bar Net flips negative → stronger short/sell confirmation
---
## Inputs / Settings
* **Plot Mode**
* Per-bar Net: raw net volume each bar
* Rolling Net (Σ): summed net over your lookback
* Both: show both lines together
* **Rolling Lookback**
* Default 20 bars (change based on your timeframe)
* **Line Style / Color Options**
* You can color by buy/sell state or pick manual colors and line styles
* **Last-bar Callout**
* Shows the latest values (BV, SV, Net, and/or Rolling Net)
---
## Important notes (limitations)
* This is an **estimate**, not true exchange “buy volume vs sell volume.”
* It works best as a **confirmation tool** alongside price action, trend, and key levels.
* In sideways markets, zero crossings can happen often (whipsaw is normal).
Indicator
