Trade Wzrd - Rift [Rampage Series]✨ THE RAMPAGE SERIES Is a growing series of roughly thirty volume-and-structure indicators, each built around the same conviction: price is the story, volume is the evidence, and levels are where the two negotiate. Every script in the series reads the market through traded volume - profiles, deltas, liquidity, nodes - and every single one ships with built-in automation . Not a bolted-on alert hack: a real order-string layer, the kind these tools almost never come with. Each Rampage script is an educational shell for learning and testing. None of them is a signal service.
Rift is the profile engine of the family - the one that finds the voids.
⚡ WHAT RIFT IS
Rift rebuilds a live volume profile every bar from lower-timeframe data - anchored to the clock (session, day, week) or to market structure (confirmed swing pivots) - and renders it as one clean instrument in the chart margin: delta-graded rows, Point of Control, Value Area, Point of Void, and the gaps where nobody traded at all.
Most profile tools show volume at price. Very few show the DELTA at each price - who was actually buying and who was selling inside every row - without paid order-flow data. Rift rebuilds that from the intrabar feed : each lower-timeframe bar's volume is signed by its direction and distributed across the price rows it traded through. The result is a profile that doesn't just say where volume traded, but who showed up to trade it.
The design rule is one region, one story. The profile lives in the right margin as a single silhouette - never scattered across your candles - while price itself carries only what you can act on.
✨ THE POINT OF VOID - WHY "RIFT"
Inside every Value Area there is one row where volume is thinnest - the weakest node, the place price met the least resistance on its way through. Rift measures it, names it, and marks it in orange: the Point of Void.
That thin crust is the rift. When price drives through it with delta support, it isn't hitting a wall - it's falling through open air, and it tends to travel. Sweeps fade. Bounces react. A void break continues. Three different events, three different trades, one engine that knows which is which.
⚡ THE THREE HUNTS
▶ Sweep & Reclaim - price pierces the Value Area edge and closes back inside. The raid that failed. Optionally gated by CVD divergence: price prints a new extreme while cumulative delta refuses to agree - the fingerprint of absorption.
▶ POC Bounce - rejection of the developing Point of Control, the single most-traded price of the profile.
▶ POV Void - price drives through the Point of Void with bar-delta support. Continuation, not a fade.
Every signal carries a typed chip (BUY · SWEEP, SELL · VOID...) with a hover deep-dive: node, ATR distance, wick %, bar delta, CVD, trend. Node-episode dedup keeps the engine honest - the same direction cannot re-fire at the same node inside the cooldown unless price has genuinely moved to a new one. An optional filter stack (ATR momentum guard, rejection wick, EMA trend, session window) sits underneath for those who want it.
✨ RISK THAT SITS ON STRUCTURE
Stops and targets can be framed two ways:
▶ ATR mode - the classic: stop a multiple beyond the sweep extreme, target by reward:risk.
▶ Structure mode - the Rift way: the stop sits a small buffer beyond the exact node the signal was born from, and the target is the nearest opposing profile node - POC, POV, or a Value Area edge. The trade is invalidated by structure breaking, not by an arbitrary distance, and it aims at the level the market itself built.
⚡ THE TRADE BOX - IT FREEZES WHERE IT DIES
Every signal draws its position as one object : entry line with a price tag, dashed stop, solid target, shaded risk and reward zones. The box follows price bar by bar - and the moment the stop or the target is hit, it freezes exactly there and leaves a TP HIT or SL HIT tag on the chart. Your past trades stay visible as they actually happened, not as you remember them. If one bar tags both sides, Rift calls the stop first - honest over flattering, always.
✨ LEVELS WITH MEMORY
▶ Retest lines - every signal draws the node it came from as a thin level that lives until breached or expired. Then, instead of vanishing, it stays on chart as darker dotted history: you can see which levels got filled and which held.
▶ Liquidity pools - swing highs and lows hold resting stops. Rails extend right until raided, die on the raid bar, and leave a faint swept zone when price pokes through and closes back inside. Where the stops were, where they got run.
▶ Level rails - neon POC, dotted POV, Value Area zone, and past profiles' POC/VAH/VAL kept on chart until crossed.
✨ HOW TO READ IT
• The margin profile is one silhouette: row width is volume, row color is delta, gold is the POC, orange is the POV, volume numbers print inside heavy rows (auto-inverted so they never camouflage), and the outline tint tells you who owns the profile - cyan buyers, pink sellers. The delta-% label on top opens the full stats on hover.
• A chip is a trade idea with receipts - hover it before you judge it.
• The trade box is the position. When it freezes, the idea is over; the tag says how.
• Dotted dark levels are filled history. Bright levels are still alive.
• The dashboard is the instrument panel: profile levels, session CVD, bar delta, regime, whale state, last signal, POC touches, automation state.
⚡ HOW TO USE
1) Add the script to a clean chart. Defaults are tuned for XAUUSD intraday; any symbol with volume works.
2) Choose the anchor: Period (D for day traders, W for swing) or Swing (structure-anchored).
3) Set the Intrabar Feed lower than your chart timeframe - 1-minute is the safe default.
4) Pick a signal model and a risk mode. ATR framing is the default; Structure framing ties stops and targets to the nodes.
5) Automation is built in.
✨ DEFAULTS
• Anchor: Period (Daily) | Intrabar Feed: 1m | Row height: ATR(14)/8 | Value Area: 70%
• Margin profile: 30 rows, offset 8 bars, max width 40 bars, outline + stats on | Signal cooldown: 8 bars
• Signals: All three models, CVD divergence 30 bars, bar delta confirm on, filters off
• Risk: ATR mode - stop ATR(14) × 1.5 beyond sweep, target 2R | Structure mode optional - node buffer 0.25 ATR, next-node target
• Trade box on | Filled retest lines kept as dotted history (20 max) | Liquidity rails on (pivot 5, 6 per side, swept zones on)
• Automation on: entries with SL/TP, close on opposite signal, close on TP/SL hit
⚡ LIMITATIONS AND HONEST NOTES
• This is an educational shell, not a validated strategy. It makes no performance claim and no edge claim. Nothing here is financial advice.
• Buy/sell split is estimated from intrabar direction (close vs previous close), not true tick-level bid/ask - on 1-minute data this is a close approximation; coarser feeds are coarser reads.
• Swing anchors and liquidity pivots confirm with a delay equal to the pivot length.
• The margin profile shows the current developing profile only; finished periods remain as POC/VAH/VAL level lines.
• TP/SL-hit detection is bar-based: on a bar that tags both, the stop is called first.
• Structure-mode targets depend on the developing profile; a fresh profile can move the nodes.
• Requires a symbol with volume data. Seconds feeds ("1S") depend on your plan's data availability.
• Past results do not predict future results. Not intended for non-standard chart types (Heikin Ashi, Renko, etc.). You own symbol mapping, risk, and execution choices.
No external links are required to understand or use this script.
Open source - Mozilla Public License 2.0.
インジケーター
Swiftedge Oderflow ToolSwiftedge Oderflow Tool
OVERVIEW
This indicator is an all-in-one orderflow toolkit that visualizes where significant traded volume has built up, whether those levels have been revisited, and how current activity compares to recent norms. It combines six modules that share one calculation engine:
Liquidity lines — horizontal levels born on the candle that built the volume, running until price trades back through them
Trade bubbles — outsized volume prints, colored by delta
A buy/sell split volume profile anchored at the price axis
HVN / LVN reaction zones detected from the profile
Session levels (Asia / London / New York), daily levels (PDH / PDL / PDC), session VWAP and a developing value area (POC / VAH / VAL)
A dashboard with bar delta, CVD divergence, relative volume, ADR usage and the nearest level above/below price
Every module can be toggled independently, so the indicator can run as a minimal liquidity map or a full cockpit.
HOW IT WORKS
Volume distribution. Each chart bar is decomposed into lower-timeframe candles (1-minute by default, configurable down to seconds where your plan provides them). Each LTF candle's volume is booked to a price bin at its close, and classified as buy or sell volume by its candle direction. Where LTF data is unavailable (older history), the bar's volume is spread evenly across its high-low range as a fallback.
Liquidity lines. A price bin that accumulates a significant share of volume (relative-strength threshold, configurable) spawns a line. The line is anchored to the bar that contributed the most volume to that level, and is plotted at the level's volume-weighted price — not at a rounded grid price. While the level remains untouched it extends to the right edge of the chart. When price trades through the level, its accumulated strength is "burned" (configurable percentage per bar); once it falls below the threshold the line is closed at that bar. Untouched liquidity therefore persists visibly, while consumed liquidity ends exactly where it was consumed. Color and line width scale with the level's peak strength, normalized against the 95th percentile of visible levels; old mitigated lines fade progressively.
Visible-range adaptation. The engine reads the chart's visible range and recalculates on every scroll or zoom. Level resolution (bin size) is derived from the visible price span, so the map keeps a consistent density at any zoom level. A warm-up window (one quarter of the visible span) is processed before the left edge so lines do not start "cold".
Bubbles. A bar whose volume exceeds a configurable percentile of recent bars (defaults: 90 / 97 / 99.5 for small / medium / large) prints a circle at its close, colored by the bar's delta sign.
Volume profile. Built from the visible bars, with each bar's volume spread across its full high-low range, split into buy and sell volume, and smoothed with a 1-2-1 kernel (configurable passes). It is drawn against a fixed wall at the right edge, growing inward, with the buy portion (green) and sell portion (magenta) stacked per row.
HVN / LVN zones. From the smoothed profile, HVNs are the largest local peaks (with a minimum substance filter) and LVNs are the deepest local valleys that sit between populated areas (range edges are excluded). The top N of each (default 3) are drawn as translucent horizontal zones across the visible range with small tags at the right edge.
Sessions, daily levels, VWAP, value area. Session open/high/low are tracked per configurable session windows and timezone and reset daily. PDH / PDL / PDC come from the completed prior daily candle (fetched with lookahead on closed data only — no future leak). VWAP accumulates hlc3 × volume from the daily open. The developing value area builds today's volume distribution and expands from the POC until 70% of volume is captured, yielding POC / VAH / VAL.
Absorption flags. A diamond marks bars with volume above a high percentile but an unusually small range (fraction of ATR14): heavy business transacted without price progress — a classic absorption footprint. Below-bar green diamonds indicate positive delta, above-bar magenta diamonds negative delta.
Dashboard. Bar delta and N-bar delta sum (from the LTF decomposition), a CVD-vs-price divergence check over a configurable lookback, relative volume vs its 20-bar average, day range as a percentage of the average daily range, the active session, and the nearest tracked level above and below current price with distance in percent.
HOW TO USE IT
Untouched liquidity lines act as a map of levels the market has built but not yet retested; strong (bright, thick) untouched lines are natural magnets and reaction candidates.
A line ending shows you exactly where and when that liquidity was consumed.
HVN zones mark acceptance (price tends to slow down and two-way trade there); LVN zones mark rejection/vacuum areas (price tends to move through them quickly or turn at their edge).
Session highs/lows and PDH/PDL are widely watched reference levels; combined with the liquidity map you can see whether volume actually built at them.
The dashboard's divergence row flags when price makes progress that cumulative delta does not confirm.
Use the companion CVD panel script for the delta curve in a separate pane.
SETTINGS NOTES
Defaults are tuned for liquid crypto and index futures on intraday timeframes (1-15 min). The lower timeframe input controls distribution precision: "1" (minute) works broadly; second-based timeframes increase precision on recent data where your subscription provides them. Session times default to a European timezone and should be adjusted to your market.
LIMITATIONS — PLEASE READ
TradingView does not provide order book (L2) or bid/ask tape data to Pine. All volume placement and delta in this indicator are approximations built from lower-timeframe OHLCV data. This is a principled approximation, not actual resting orders or true tape delta.
The indicator draws in the visible range and recalculates when you scroll or zoom; drawings therefore adapt to the window you are viewing. The heavy rendering runs once per bar close, so the newest bar's lines can update with up to one bar of delay.
Lower-timeframe history is limited by TradingView; on older history the fallback distribution (bar range spread) is used, which is coarser.
Volume must be provided by your data feed; on symbols without volume the indicator cannot work.
This is a visualization and context tool. It generates no signals and no performance claims are made or implied. インジケーター
Trend-Reset Cumulative Delta [ChartPrime]Trend-Reset Cumulative Delta
🔶 OVERVIEW
Standard Cumulative Delta indicators track the net difference between buying and selling volume from a fixed starting point (like the start of the day). While useful, they often become skewed by historical data that is no longer relevant to the current market trend.
The Trend-Reset Cumulative Delta solves this by using a Volatility-Based Reset Mechanism . It utilizes an ATR (Average True Range) envelope to define the current trend; the moment price breaks out of this envelope, the Cumulative Delta "resets." This ensures you are only seeing the volume pressure relevant to the active trend.
🔶 THE RESET LOGIC: ATR BANDS
The indicator tracks a central EMA surrounded by volatility bands. This creates a "dynamic corridor" for price:
Bullish Trend: When price closes above the Upper ATR Band , the trend turns bullish and the Delta counter resets to 0.
Bearish Trend: When price closes below the Lower ATR Band , the trend turns bearish and the Delta counter resets to 0.
By resetting at every major trend shift, the indicator highlights the "fresh" volume entering the move, making it easier to spot exhaustion or trend strength without the baggage of old data.
🔶 KEY FEATURES
Z-Score Pivot Filter: Not all pivots are equal. This indicator uses a Z-Score calculation to identify "outlier" volume events. It highlights pivots where the Cumulative Delta is significantly higher (statistically) than the recent average.
Trend Summary Labels: At the end of every trend cycle, a label appears summarizing the Total Volume and Net Delta of that specific move. This allows you to compare the "effort vs. result" of previous trends side-by-side.
Dual-Chart Projection: Filtered volume pivots can be projected directly onto the price chart, showing you exactly which candle saw a statistical volume extreme.
Dynamic Column Coloring:
* Bright Colors: Volume is increasing in the direction of the trend.
* Faded Colors: Volume pressure is slowing down (potential divergence/exhaustion).
🔶 TRADING APPLICATIONS
Effort vs. Result (Divergence): If price is making new trend highs but the Trend-Reset Delta columns are becoming smaller or fading in color, it indicates that the "effort" (volume) is not supporting the move.
Institutional Absorption: Look for the Z-Score Pivot markers (▼/▲). When these appear at structural support or resistance, it signifies that a massive amount of volume was transacted, often indicating institutional absorption.
Trend Strength Comparison: Use the Trend Summary Labels to look back at previous cycles. If the previous Bullish trend had a Net Delta of +1M and the current Bullish trend only has +200k, the current move is significantly more fragile.
🔶 CONCLUSION
The Trend-Reset Cumulative Delta provides a cleaner, more actionable view of volume flow. By stripping away irrelevant historical volume and focusing on the current volatility-defined trend, it helps traders identify when a trend is being fueled by fresh capital—or when it's simply running on fumes. インジケーター
インジケーター
Advanced Volatility1. Normalized ATR (%) - The Blue Line
What it is: The standard Average True Range (ATR) divided by the current closing price.
Why it matters: It tells you exactly what percentage the asset moves on an average bar. If the nATR is 2.0%, you know the asset swings roughly 2% per candle. This is incredibly useful for setting dynamic stop losses and take profits that scale mathematically with the asset's price, rather than guessing arbitrary dollar amounts.
2. BB Width (%) - The Orange Line
What it is: The distance between the Upper and Lower Bollinger Bands, divided by the Middle Band.
Why it matters: This acts as a highly effective "Squeeze" proxy. Volatility is cyclical; it contracts, then it expands. When you see the Orange line drop to extremely low historical levels, it means the Bollinger Bands are pinching tight. This contraction indicates that energy is building up, and a massive breakout/expansion move is imminent.
3. Historical Volatility (%) - The Fuchsia Line
What it is: A strict statistical calculation heavily used in options pricing (often referred to as HV or Realized Volatility). It calculates the standard deviation of logarithmic returns over a period, and annualizes it (multiplying by √252 trading days).
Why it matters: It gives you the "true" statistical variance of the asset. A rising Fuchsia line means the market is becoming highly chaotic and unpredictable, while a falling line means the market is returning to a stable, directional grind.
By layering all three of these metrics on one panel, you can easily spot when a market has compressed to zero (all lines dropping near the Zero Base) right before a massive trend erupts! インジケーター
Divergence Map [FEELS]Price up, strength not.
Divergence Map marks every spot where price made a new high or low but the volume delta behind it didn't agree. Across the whole chart, not just the right edge.
OVERVIEW
Each divergence is drawn as a pair of crossing lines on the price pane: the line through the two price swings, and a second line whose opening reflects the volume delta behind those swings, widening in proportion to the strength gap so the disagreement is visible at a glance. A new high with weaker delta is marked at the top, a new low with weaker selling is marked at the bottom. Most divergence tools push a delta line into a separate panel and leave you to eyeball the slopes; this keeps the comparison on price, as one shape, for the whole chart.
HOW IT WORKS
1. Per-bar delta uses the standard bar-direction proxy: a bar closing up counts its volume as positive, a bar closing down as negative, a flat bar as zero. These are summed into a cumulative volume delta. Pine has no true tick order flow on historical bars, so this proxy is what the calculation is built on, and the logic is designed around its limits.
2. The cumulative delta is measured against its own recent trend (its value minus a moving average of itself), so divergences are read against recent flow rather than the all-time drift of a running total.
3. Swing highs and lows are found with a symmetric pivot of configurable length. A swing is used only once it is confirmed by that many closed bars on each side.
4. A top divergence is recorded when a confirmed swing high is above the previous swing high while the trend-adjusted delta at the new swing sits below its reading at the previous one. A bottom divergence is the mirror. The test compares the relative direction of delta between two swings rather than an absolute value, which is what lets it tolerate the proxy.
5. Strength is the size of that delta gap, scaled by its recent range and reported 0 to 100. A minimum-strength input hides weak readings.
6. Each divergence is then tracked for an outcome. By default it is scored from the bar it actually becomes visible (one swing length after the swing, since a swing cannot be known before then), and judged symmetrically from there: whichever comes first within the window, a reversal of the set size in its direction is a check, the same move against it is a cross. The size is taken from volatility by default (a multiple of ATR), so it scales with the timeframe; it can be switched to a fixed percent. An event also fails if price closes back through the swing that defined it. This removes the look-back head start, so the hit rate in the dashboard is descriptive of how these divergences have actually behaved, not a promise about the next one.
HOW TO USE
- Read the shape, not a number. Two lines opening apart at a top means price rose while delta did not; at a bottom, price fell while selling did not.
- The check or cross on each past event shows whether the expected reversal followed, so the chart carries its own record on the symbol and timeframe you are viewing.
- During a strong, clean trend the map stays mostly empty. That is expected: divergences appear at exhaustion, not inside a healthy trend.
- Raise minimum strength to keep only the clearer events. Swing length sets how major the marked swings are. Reversal percent and window define what counts as a resolved reversal. Turn off Remove swing lag to see the look-back figure instead of the real-time one.
PARAMETERS
- Swing length: bars per side to confirm a swing.
- Min strength: hides divergences below this 0 to 100 score.
- Delta smoothing and strength window: detrend the delta and scale the strength score.
- ATR reversal and Reversal ATR: size the reversal by volatility so the threshold scales with the timeframe (about 5% daily, around 15% weekly); turn off to use the fixed Reversal percent.
- Reversal percent and reversal window: the fixed-percent threshold and the bars allowed for a resolved reversal.
- Remove swing lag: scores each event from the bar it becomes visible and judges it symmetrically, giving a realistic hit rate instead of the look-back one.
- Labels, label and dot size, line width, colors, strength line on or off, mark hit on chart, dashboard position.
REPAINT NOTE
A swing is confirmed one swing length after it forms, which is how pivots work, and a divergence is recorded only on closed bars using that confirmed swing. Once a divergence and its lines are drawn they do not move, and the check or cross is added later on closed bars as the outcome settles. The only live element is the dashboard. No higher-timeframe or external data requests are used.
ORIGINALITY
This is original work and the source is open. It is not a wrapper around a built-in oscillator and it does not plot delta in a separate pane. The comparison is kept on the price pane as one crossing shape, applied across full history, with a built-in record of whether each marked divergence was followed by a reversal, scored from the bar it actually became visible. The honest treatment of the delta proxy, comparing relative slope rather than absolute flow, is part of the design.
Descriptive tool for studying divergence behaviour. It is not financial advice and does not predict price. インジケーター
MTF CVD Synchrony | Rainbow MatrixGENERAL OVERVIEW
MTF CVD Synchrony is a multi-timeframe directional flow oscillator that condenses five independent CVD (Cumulative Volume Delta) readings — one per Fibonacci-spaced timeframe — into a single weighted Master Line on a zero-centered 0-100 scale, surrounded by per-TF "ghost lines" that fade visually as they diverge from the consensus. The defining feature: 50 is true neutral. Above 50 means buyers are dominating; below 50 means sellers are dominating. The further from 50, the stronger the directional pressure. When the five timeframes align, the rainbow becomes a solid band; when they diverge, the disagreement becomes a visible density property of the indicator itself.
A background histogram visualizes the Master score's deviation from the neutral 50 line — green columns extend up when buyers dominate, red columns extend down when sellers dominate. A compact 7×9 MTF Legend Table surfaces every dimension simultaneously: per-TF resolutions, score values, trend direction, divergence flags, raw flow magnitude, and named directional State — with an antenna marker flagging the row whose timeframe matches your chart's native resolution.
Designed as the directional member of a three-indicator family. Apply all three side-by-side for a complete read: MTF RSI Synchrony shows where price sits in its momentum range; MTF Volume Delta Bar Synchrony shows whether the move has volume magnitude behind it; MTF CVD Synchrony shows who is actually winning — buyers or sellers. Same visual signature, same canonical Fibonacci ratios, same Legend Table layout — instant cross-indicator readability.
WHAT IS THE THEORY BEHIND THIS INDICATOR
Cumulative Volume Delta attempts to answer a question that price and volume alone cannot: in any given bar, were buyers or sellers more aggressive? Traditional volume tells you HOW MUCH traded, but not the DIRECTION of the pressure. A high-volume bar that closes flat tells a very different story from a high-volume bar that closes at its highs — yet raw volume scores them identically.
CVD approximates directional pressure by weighting each bar's volume by where price closed within its range. This indicator uses the Close Location Value (CLV) for that weighting:
clv = ((close − low) − (high − close)) / (high − low)
CLV ranges from +1 (close exactly at the high — maximum buying pressure) to −1 (close exactly at the low — maximum selling pressure), with 0 at the midpoint. Multiplying CLV by volume produces a signed directional contribution per bar: delta_raw = clv × volume. This is more nuanced than the binary tick rule (close > open = buy) used by most "delta" indicators — CLV captures HOW DECISIVELY price closed in its range, not just the sign.
The per-bar delta is then smoothed by EMA and normalized into a bounded 0-100 zero-centered score:
cvd_smooth = EMA(delta_raw, smoothing_length)
max_abs = highest(|cvd_smooth|, normalization_window)
score = 50 + (cvd_smooth / max_abs) × 50
The genius of the zero-centered approach: 50 always means balance, regardless of the asset's structural bias. A score of 75 means buyers are exerting 50% of the maximum recent pressure to the upside; a score of 25 means sellers are exerting 50% of maximum recent pressure to the downside. This is fundamentally different from a percentile rank (which would anchor 50 at the historical median, skewing with structural trends).
Five such scores — one per timeframe (default 5 / 15 / 60 / 240 / D) — are fused via canonical Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15, peak weight on the macro TF3/TF4 where institutional positioning consolidates) into the weighted Master Line.
FEATURES
🔹 Multi-Timeframe CVD Fusion Engine (zero-centered directional scale)
🔹 CVD Histogram (deviation from neutral 50 — green buy / red sell)
🔹 Adaptive Fibonacci Channel (Z-Breathing → Z-Alert → Z-Exhaustion → Black Swan)
🔹 Hybrid Black Swan Zones (static or dynamic — default dynamic)
🔹 Classic Price↔CVD Divergence Detection (per-TF + Master)
🔹 MTF Legend Table (7 columns × 9 rows, with Raw Flow + State, multilingual)
🔹 Multilingual Interface (EN / PT / ES / RU / ZH)
🔹 Multi-Timeframe CVD Fusion Engine
What It Does
Runs five independent CVD scores on Fibonacci-spaced timeframes and fuses them into a single weighted Master Line, with each per-TF reading plotted as a ghost line that fades by distance to the consensus.
Method
On each timeframe, f_cvd_full() computes CLV × volume per bar, smooths it via EMA, and normalizes against a rolling-max window to produce the zero-centered score. The five scores fuse via Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15). Both smoothing length and normalization window are independently configurable per timeframe.
Per-TF smoothing defaults (Wilder-anchored on TF3+TF4):
◇ TF1 (5m): 7 — scalping
◇ TF2 (15m): 10 — day-trading
◇ TF3 (60m): 14 — Wilder canonical
◇ TF4 (240m): 14 — Wilder canonical
◇ TF5 (D): 21 — swing/position
Per-TF normalization windows (each TF's natural horizon):
◇ TF1: 30 (≈2.5h on 5m)
◇ TF2: 50 (≈12.5h on 15m)
◇ TF3: 80 (≈3.3 days on 1h)
◇ TF4: 100 (≈16 days on 4h)
◇ TF5: 150 (≈5 months on Daily)
All request.security calls use lookahead=barmerge.lookahead_off for anti-repaint integrity.
Why It Matters
A 5-minute buy surge means little if the 4-hour and daily flows are decisively selling. The fusion engine reveals whether directional pressure is aligned across timescales (high conviction) or contradictory (a counter-trend bounce inside a larger trend). The ghost-line rainbow makes that alignment visible at a glance.
🔹 Adaptive Fibonacci Channel
What It Does
Six color-coded bands around the Master Line that adapt to its own recent volatility, using the brand's canonical Fibonacci ratios.
Method
Highest/lowest of the Master over a configurable lookback (default 50) are smoothed by EMA (default 10) to form the channel envelope. Bands sit at canonical Fibonacci proportions: Z-Breathing (1.50/1.85), Z-Alert (1.85σ anchor), Z-Exhaustion (2.75/1.85), Black Swan (3.85/1.85). All six band values are mathematically clamped to before rendering, keeping the rainbow inside the visible pane.
Why It Matters
Static thresholds can't adapt to regime changes. The Fibonacci channel calibrates the warning zones to the asset's current directional-flow volatility, so a "climax" on a calm pair and a "climax" on a volatile one both trigger at appropriate statistical extremes.
🔹 Hybrid Black Swan Zones
What It Does
Flags directional flow climax extremes — either at static 85/15 thresholds (BUY CLIMAX / SELL CLIMAX boundaries) or at the dynamic Fibonacci 3.85σ band.
Method
Dynamic Black Swan Mode is ON by default (Fibonacci 3.85σ proportion of the Master channel). Toggle OFF for static 85/15. Each zone renders as a glow line that brightens as the Master approaches. The static reference lines (15/50/85) are shown by default to anchor the zero-centered scale: 85 = purple (buy climax boundary), 50 = yellow (neutral), 15 = aqua (sell climax boundary).
Why It Matters
Directional flow climaxes mark exhaustion points — a BUY CLIMAX (score ≥ 85) means buyers have pushed to a recent extreme, often preceding a pause or reversal; a SELL CLIMAX (≤ 15) marks capitulation. The dynamic mode self-calibrates per asset and regime.
🔹 Classic Price↔CVD Divergence Detection
What It Does
Detects regular bear divergences (price higher high while CVD makes lower high — rally on weakening buy pressure) and bull divergences (price lower low while CVD makes higher low — selling exhausting). Runs on each timeframe AND on the Master line.
Method
Per-TF divergence runs inside request.security via pivot detection on the per-TF CVD score. Master divergence runs on the chart-TF directly, rendering a connecting line + label between pivots (red bear / green bull) on the pane. Per-TF results surface in the Legend Table's "Div" column.
Why It Matters
Price↔flow divergence is one of the most powerful applications of CVD. When price makes a new high but directional flow doesn't confirm, the rally is running on fading conviction — a classic distribution warning. Detecting this per-TF AND on the Master gives both early granular warnings and high-conviction confirmations.
🔹 MTF Legend Table
What It Does
A compact 7×9 table surfacing every dimension of the analysis at a glance.
Method
Rendered via table.new(force_overlay=false) on the pane. Layout:
◇ Row 0: title (spans all columns)
◇ Row 1: column headers — Indicator / Timeframe / Value / Trend / Div / Raw / State
◇ Rows 2-6: per-TF data
◇ Row 7: Master row ("🌈 Master (~XhYm)" with effective TF)
◇ Row 8: MTF Divergence status row
Per-TF cells show: ● TF label (+ antenna 📡 if chart-native), TF resolution, zero-centered score (zone-colored), trend arrow (±0.5 deadzone), divergence (🔺/🔻/—), Raw Flow (compact K/M/B signed magnitude, green if positive / red if negative), and State (directional name, zone-colored).
Why It Matters
The Raw Flow column complements the Value column: Value answers "how strong is the directional pressure?" (the normalized score), while Raw answers "how much actual volume is behind it?" (the absolute flow). A score of 75 with a small raw magnitude is weaker conviction than 75 with a huge raw magnitude. Together with State, the table tells a complete directional story per timeframe.
🔹 Multilingual Interface
What It Does
Translates all HUD labels, status messages, alert text, Legend Table headers, and directional State names to 5 languages: English, Português, Español, Русский, 中文.
Method
A single language dropdown selects the active language via Pine v6's ternary-chain pattern. Code, comments, and configuration tooltips remain in English by convention.
Why It Matters
The Rainbow Matrix family is built for traders worldwide. Multilingual UI removes friction for non-English-native users.
HOW TO USE
Reading the Pane
◇ Master near 50 with ghost lines tight: balanced flow, no directional edge (absorption / equilibrium).
◇ Master rising above 50: buyers gaining control. Above 62 = BUY PRESSURE; above 71 = STRONG BUY.
◇ Master falling below 50: sellers gaining control. Below 38 = SELL PRESSURE; below 29 = STRONG SELL.
◇ Master touches Black Swan High (≥85, purple glow): BUY CLIMAX — buyers at a recent extreme, watch for exhaustion.
◇ Master touches Black Swan Low (≤15, aqua glow): SELL CLIMAX — capitulation, watch for reversal.
◇ Histogram green/red columns: immediate bar-by-bar directional read around the 50 centerline.
Reading the Legend Table
The antenna marker (📡) flags your chart's native timeframe — start there, then scan up/down to see whether faster/slower TFs confirm or contradict the directional bias. Compare Value (pressure strength), Raw (actual flow magnitude), and State (named classification) for each row. The status row summarizes MTF alignment between TF1 and TF5.
Reading Divergences
Master bear divergence (price up + CVD down) = rally on fading buy conviction, distribution warning. Master bull divergence (price down + CVD up) = selling exhausting, potential bottom. Per-TF divergences in the Div column give early granular warnings.
Tactical Combinations
◇ Master BUY CLIMAX + bear divergence + multiple TFs diverging = strongest reversal-from-high signal.
◇ Master SELL CLIMAX + bull divergence = strongest reversal-from-low signal.
◇ Master near 50 + all TFs near 50 + tight ghosts = absorption / coiling, often precedes a directional break.
◇ Triple confluence (the full family): RSI overbought + Volume EXTREME magnitude + CVD STRONG SELL = distribution at the top. RSI oversold + Volume EXTREME + CVD STRONG BUY = accumulation at the bottom. These three indicators answering momentum + magnitude + direction simultaneously is the strongest read the Rainbow Matrix family offers.
INPUTS EXPLAINED
GLOBAL SETTINGS — System Language (EN/PT/ES/RU/ZH), table/label font sizes.
MULTI-TIMEFRAME — AI Auto-Sync TFs; TF1-TF5 manual resolutions (default 5/15/60/240/D); per-TF CVD Smoothing Length (7/10/14/14/21); per-TF CVD Normalization Window (30/50/80/100/150).
ENGINE — Dynamic Black Swan Mode (default ON); Dynamic Channel Lookback (50) and Smoothing (10); Divergence Pivot Lookback (5).
VISUALIZATION — TF1-TF5 colors + show toggles (all ghost lines OFF by default — only Master visible on install); Ghost Fade Sensitivity (3.5); Show Master Line / Rainbow Fills / Black Swan / Dynamic Channel; Show CVD Histogram; Show MTF Legend Table; Show Divergence Column; Show Raw Flow Column; Show State Column; Show Master Divergence Chart Line; Legend position; Show Divergence Event Markers; Show Static Reference Lines (15/50/85, ON by default).
ALERTS — Black Swan crossings (high/low); Strong MTF Divergence; Z-Exhaustion zone entries; Master Classic Divergence.
IMPORTANT NOTES
🔸 Pine Script v6 — uses request.security with lookahead=barmerge.lookahead_off. 16 total security calls (5 CVD score + 5 per-TF divergence + supporting channel calculations). Chart load may take a moment longer than a single-TF indicator.
🔸 CLV approximation, not order-flow tick data — Directional pressure is approximated via the Close Location Value (where price closed within each bar's range), NOT real bid/ask order flow. Pine Script v6 has no tick-by-tick data access in indicator scripts. CLV is a more nuanced approximation than the binary tick rule used by most free-tier "delta" indicators, but it remains an approximation. For true order-flow delta, use dedicated footprint/order-flow tools.
🔸 Zero-centered scale — Unlike the percentile-rank siblings (RSI, Volume Delta Bar), this indicator's 50 is a TRUE neutral (zero net directional flow), not a historical median. This is intentional — direction is inherently signed, so a fixed zero-point is more meaningful than a regime-relative median.
🔸 Normalization warmup — During the first normalization_window bars on each TF, the rolling-max anchor (max_abs) is built from a small sample, so early bars may show exaggerated swings until the window fills. Normal warmup behavior for any rolling-window indicator.
🔸 Repaint behavior — Historical bars use confirmed close data; the current real-time bar updates as ticks arrive. Pivot-based divergence requires confirmation bars before triggering (standard pivot divergence behavior).
🔸 Fibonacci ratios are canonical — The channel proportions (1.50/1.85/2.75/3.85) and fusion weights (0.15/0.20/0.25/0.25/0.15) match the Rainbow Matrix brand standard across all sibling indicators, preserving cross-indicator visual consistency.
🔸 License: MPL 2.0 — open source. Free to fork, modify, and republish under the same license terms.
UNIQUENESS
Three pillars differentiate this from other CVD indicators on TradingView:
1. Multi-timeframe CVD fusion with synchrony as a visual property. Most CVD tools run on a single timeframe. This indicator runs five, fuses them via Fibonacci weights, and expresses directional alignment as a rainbow density — solid when timeframes agree on direction, spread when they disagree. The cross-TF directional consensus becomes immediately readable.
2. True zero-centered scale with CLV weighting. The 50 midpoint is a mathematically meaningful neutral (zero net flow), not a regime-skewed median. And the directional weighting uses Close Location Value — capturing how decisively price closed within each bar's range — rather than the cruder binary tick rule. This combination produces a directional read that stays honest across structural trends.
3. Three complementary readings in one Legend Table, designed as a family. Value (pressure strength), Raw Flow (actual magnitude), and State (named classification) disambiguate a single timeframe's directional picture. And as the directional member of the Rainbow Matrix trio (alongside RSI for momentum and Volume Delta Bar for magnitude), it completes a three-dimensional read of any market: where price is, how big the move is, and who's winning.
Rainbow Matrix AI | Multi-timeframe institutional analysis tools for traders.
🌐 rainbowmatrix.ai
✉️ Contact: contact@rainbowmatrix.ai
インジケーター
CVD Multi-Timeframe DashboardCVD Multi-Timeframe Dashboard
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WHAT IT DOES
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Most CVD tools only show you the timeframe you're standing on. This one shows
you the whole stack at once. Stay on your execution chart — 1m, 3m, 5m,
whatever you trade — and read the net buying vs. selling pressure of the 5m,
15m, 1h, 4h, Daily and Weekly in a single on-chart table.
In one glance you know whether the bigger picture is backing your trade or
fighting it.
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WHY IT'S USEFUL
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Price can rise while volume delta quietly turns negative — buyers stepping
back even as the candle stays green. That divergence is an early warning, and
it's far more powerful when you can see it line up (or break down) across
multiple timeframes:
- All rows green → broad, one-sided buying. Trend trades have the wind behind them.
- All rows red → broad selling pressure. Longs are swimming upstream.
- Mixed rows → the timeframes disagree — often a pullback, rotation, or a
turning point forming.
This turns CVD from a single-timeframe reading into a top-down confluence tool.
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HOW IT WORKS
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Volume Delta = volume hitting the offer (buying) minus volume hitting the bid
(selling). The script uses TradingView's ta.requestVolumeDelta() engine, which
scans lower-timeframe data to approximate that split as accurately as the
data allows.
Each row anchors that engine to a different timeframe and reports the NET delta
of that timeframe's CURRENT, developing bar — i.e. how much net buy/sell flow
has built up since that candle opened. As a higher-timeframe bar progresses,
its value accumulates; when a new bar opens, it resets. That's why the rows
genuinely differ from one another instead of repeating the same number.
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READING THE TABLE
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TF → the monitored timeframe
CVD Δ → net volume delta of its current bar (auto-formatted K / M / B)
Bias → BUY (positive) or SELL (negative), colour-coded
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SETTINGS
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- Timeframes to monitor — up to 6 slots, each with its own on/off toggle and
timeframe. Set them equal to or higher than your chart timeframe.
- Lower timeframe — resolution used to approximate up/down volume. Automatic
by default; lower = more precise, higher = more history.
- Style — table position, text size, and your own positive/negative colours.
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ALERTS
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"CVD bias flip" fires the moment any monitored timeframe's delta crosses
between positive and negative — useful for catching a shift in flow without
staring at the screen.
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NOTES & LIMITATIONS
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- Monitor timeframes ≥ your chart timeframe; lower ones aren't meaningful.
- The symbol must provide volume data, or the script will tell you.
- Lower-timeframe scanning approximates buy/sell volume — it isn't true
tick or bid/ask data. Use it as a directional gauge, not an exact figure.
Built on TradingView's open-source CVD logic and the ta.requestVolumeDelta()
function from the TradingView/ta library. Open-source — feedback and forks
welcome. インジケーター
インジケーター
インジケーター
インジケーター
RSI Volume LadderA long-only pyramiding strategy that scales into corrections using RSI oversold conditions confirmed by above-average volume. Each subsequent entry requires a meaningful price drop from the previous fill, with an asymmetric exit structure: Take Profit anchored to the average entry, Stop Loss anchored to the lowest fill. Built for traders who want to systematically dollar-cost into pullbacks within an uptrend, with clearly defined risk per pyramid stack.
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ORIGINALITY — WHAT MAKES THIS DIFFERENT
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Five specific mechanics that, in this combination, distinguish this script from other averaging-down systems published on TradingView:
- ASYMMETRIC EXIT ANCHORING
Take Profit is calculated from the average entry price of the pyramid — so winners run from the averaged-down cost basis. Stop Loss is calculated from the LOWEST entry price among all open positions — so the absolute worst-case loss is bounded by your deepest fill, not your average. This asymmetry is the key to making pyramiding viable: averaging works for you on the upside without inflating downside risk.
- PRICE-DROP GATE FOR EACH PYRAMID LEG
Every subsequent entry requires both a fresh RSI + volume signal AND a configurable minimum price drop from the previous fill (default 1.5%). This prevents stacking three positions within a tight range during a slow grind down — pyramiding only triggers on meaningful pullbacks, forcing real averaging instead of cosmetic averaging.
- ASYMMETRIC COOLDOWN ON EXIT
After a Stop Loss, the strategy waits N bars (default 3) before allowing new entries — blocks the "catch the falling knife" pattern where RSI stays oversold for many bars during a cascade. After a Take Profit, cooldown is configurable separately and defaults to 0, because a successful exit signals continued mean-reversion behavior worth participating in.
- ENTRY-TIMING SAFETY
Exit detection runs at the top of the bar evaluation, BEFORE the entry check. This means a Stop Loss hit on a bar cannot trigger a new entry on the same bar — even if RSI is still deeply oversold and volume is elevated. The cooldown counter is set before the entry logic ever sees the bar, eliminating a subtle but realistic execution problem in pyramiding systems.
- VISUAL EXIT CLASSIFICATION
When the position closes, the script automatically classifies the exit as TP or SL by measuring distance from actual fill price to each pre-set level, and renders a fuchsia or red cross at the exit price. No look-ahead, no estimation — the classification uses the closed trade's recorded exit price.
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CREDITS & FOUNDATIONS
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This script builds on established methodologies with original Pine v5 implementation of every layer:
- RSI — Wilder, 1978 (standard implementation via ta.rsi)
- Volume confirmation — classical technical analysis
- Pyramiding / scaling-in — standard portfolio management technique (Tharp, Elder)
- Dollar-cost averaging principles — long-standing investment methodology
ALL CODE in this script was written from scratch. No code has been copied from other public or private scripts. The five mechanics listed under ORIGINALITY above are original combinations and implementations.
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HOW THE STRATEGY WORKS
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ENTRY CONDITIONS (all must be true):
- RSI below the configurable oversold threshold (default 30)
- Volume above SMA × configurable multiplier (default 1.5× of SMA20)
- For pyramiding: price must be at least X% below the last fill (default 1.5%)
- Cooldown not active from the previous exit
- Open positions count below the pyramiding cap (default 3)
PYRAMID BUILDING:
Up to 3 long positions can be opened. Each new entry independently re-checks all conditions — the RSI + volume signal must reappear, AND the price drop gate must be satisfied. Position size per entry is fixed (default 5% of equity), so a full three-position stack uses approximately 15% of equity.
EXIT LOGIC:
Both legs run as an OCO (one-cancels-other) bracket:
Take Profit = average entry × (1 + tpPercent / 100), default +4%
Stop Loss = lowest entry × (1 − slPercent / 100), default −3%
All positions close together when either level is hit. The TP/SL levels update on every bar as the pyramid grows — average shifts on each new fill, lowest fill anchors deeper if a new low is hit.
COOLDOWN MECHANISM:
On exit, the strategy records the bar index and exit type. While bar_index − lastExitBar ≤ requiredCooldown , new entries are blocked. The required cooldown differs by exit type (default 3 bars after SL, 0 bars after TP), reflecting that an SL exit often happens during continuing weakness, while a TP exit signals healthy mean reversion.
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VISUALIZATION
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ENTRY ARROWS — blue triangles below each fill, labeled Long_1 / Long_2 / Long_3 with the order price
AVERAGE ENTRY LINE — blue, updates as the pyramid grows (staircase pattern)
TAKE PROFIT LINE — fuchsia, updates with the average
STOP LOSS LINE — red, anchored to the lowest fill (steps down only if a deeper entry occurs)
EXIT CROSS — fuchsia at TP hit, red at SL hit, placed at the actual exit price
The line style is plot.style_linebr , which connects within an open position and breaks cleanly between positions — making each pyramid cycle visually self-contained on the chart.
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HOW TO USE IT
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This is a complete entry + exit strategy, but it is NOT a turn-it-on-and-walk-away system. Use it as a framework to test and adapt to your specific instrument:
- Load on a liquid asset with mean-reverting behavior in an uptrend. The strategy was developed on crypto majors (BTC, ETH) and major equity indices.
Start with the default parameters and run the Strategy Tester on at least 6 months of history.
- Pay attention to:
• Net Profit and Max Drawdown ratio
• Average loss vs. average win
• Whether losing streaks cluster during specific market regimes
Tune to your instrument's volatility:
• Higher-volatility assets (alt-coins, small caps) → increase dropPercent (2-3%), increase slPercent (4-6%)
• Lower-volatility assets (BTC, indices) → decrease dropPercent (1-1.5%), tighter slPercent (2-3%)
• Higher timeframes (1h, 4h) → wider TP/SL to match bar range
- Consider adding an external trend filter for your live use. The strategy will pyramid into any oversold reading regardless of higher-timeframe context. Adding an EMA200 filter (only enter if price > EMA200) materially changes the risk profile on instruments prone to extended downtrends.
- Treat the strategy output as a structured framework for your dip-buying process, not as a guaranteed system. Combine with your own market analysis, position sizing, and broader risk management.
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INPUTS WORTH KNOWING
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RSI Length (default 14) and Oversold threshold (default 30) — standard RSI configuration. Lower threshold = fewer, deeper-oversold entries.
Volume SMA length (default 20) and Multiplier (default 1.5×) — volume confirmation strength. Higher multiplier = only enter on standout volume spikes, fewer entries.
Min drop between pyramid entries (default 1.5%) — prevents tight clustering. Higher = waits for deeper pullbacks before adding.
Max pyramid positions (default 3) — caps the stack. Note: pyramiding=3 is also set in the strategy() header.
Take Profit % from average (default 4%) — anchored to running average entry price.
Stop Loss % from lowest fill (default 3%) — anchored to the deepest entry, shared across all open positions.
Cooldown after SL (default 3 bars) — blocks the falling-knife pattern after a stop-out.
Cooldown after TP (default 0 bars) — re-enter immediately after a successful exit.
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REALISTIC EXPECTATIONS
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Pyramiding into corrections is a well-known approach with well-known limitations. The strategy works best when:
The underlying asset has a structural uptrend
Volatility produces regular pullbacks of meaningful depth
The market is not in a sustained bear regime
What this strategy provides:
A disciplined framework for scaling into pullbacks instead of single-shot entries
Asymmetric exit anchoring that lets winners run from the averaged cost basis
Built-in protection against catching the falling knife via cooldown
Transparent visualization of each pyramid leg, exit, and risk level
What it does NOT provide:
Protection from prolonged bear trends (averaging down into a structural decline is the dominant failure mode of this entire strategy family)
A guaranteed profitable system
A signal generator for assets that don't mean-revert
A replacement for your own market analysis, position sizing, or higher-timeframe context
Treat the output as ONE structured input in your trading process. The biggest risk to your account using a pyramiding strategy is mis-applying it to a downtrending asset — always confirm regime alignment before going live.
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TECHNICAL NOTES & DISCLOSURES
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NO REPAINT . Uses process_orders_on_close=true — all orders execute on confirmed bar close. No request.security() calls, no lookahead_on, no barmerge.lookahead_on.
REALISTIC EXECUTION . Default commission 0.05% per trade (typical crypto exchange taker fee). Position sizing in % of equity, not fixed contracts. Initial capital 10,000.
DATA USED : only standard Pine inputs — open, high, low, close, volume. Indicators: RSI, SMA of volume. No external feeds, no security() calls, no synthetic data.
PERFORMANCE : max_labels_count=500. Pyramiding capped at 3. No unbounded growth of internal objects.
ASSETS : developed on crypto majors and tested across 5m, 15m timeframes. Works on equities and forex but parameters were tuned on crypto and may need adjustment for assets with different intraday behavior.
EDUCATIONAL AND ANALYTICAL TOOL . Intended for traders who understand pyramiding mechanics and the inherent risk of averaging-down strategies, and who want a structured framework to test on their own instruments.
OPEN SOURCE . Read the code, learn from it, fork it. Feedback and bug reports welcome in the comments.
Check my profile for other published scripts. ストラテジー
インジケーター
インジケーター
Volatility-Adjusted Supply & Demand Zones [Footprint]Volatility-Adjusted Supply & Demand Zones
Overview
Most supply and demand indicators draw zones based on price structure alone — a strong candle appears, a box gets painted, and every zone looks equally valid. This indicator takes a different approach: it sizes and scores every zone using ATR-based volatility, then validates each zone using real order flow data pulled from the bar's volume footprint. The result is a layer of institutional context that price-only zone detectors cannot provide.
The indicator detects displacement candles whose bodies exceed a user-defined ATR multiple, assigns each zone a composite strength score derived from body size and relative volume, and then cross-references the zone's origin bar against footprint delta — the net difference between aggressive buying and aggressive selling — to classify each zone as confirmed, weak, or mitigated. Zones where order flow agreed with the directional move are rendered at full opacity. Zones where delta contradicted the move are faded, acting as a caution signal rather than a confident level. A built-in performance heatmap tracks historical win rates and delta confirmation rates across five strength bins so you can calibrate inputs to your instrument over time.
How it works
Zone detection
On each bar the indicator computes ATR and compares the candle body size against it. If the body exceeds the displacement threshold (ATR × Displacement Multiplier), the bar is flagged as a displacement move. A pending zone is created at the candle's proximal edge and held in a queue. The zone is only confirmed after price has moved away cleanly for a user-defined number of bars without re-entering the candidate range. If price re-enters during the waiting period, the candidate is discarded.
bodySize = math.abs(close - open)
dispRatio = bodySize / atr
isStrongMove = dispRatio > displacementMult
Zone height is fixed at the time of detection: ATR × Zone Width Multiplier, measured from the proximal edge of the displacement candle inward. Demand zones extend downward from the candle high; supply zones extend upward from the candle low.
Strength score
Each zone carries a strength score calculated from the body-to-ATR ratio and the bar's relative volume (volume divided by its moving average). Multiplying these two factors rewards moves that were both large in price terms and accompanied by elevated volume.
relVol = volume / ta.sma(volume, volLengthInput)
strengthScore = dispRatio * math.sqrt(relVol)
The score is displayed on the zone label and used to bin zones into the statistics table.
Footprint delta confirmation
The indicator calls request.footprint() once per bar to obtain the volume footprint for the displacement candle. It reads the bar-level delta (net aggressive buying minus selling), and also inspects the Point of Control (POC) row for directional imbalance. A demand zone is delta-confirmed when the origin bar shows net buying (delta > 0). A supply zone is confirmed when the origin bar shows net selling (delta < 0). When delta contradicts the zone direction, the zone is rendered at the Weak Zone Transparency level as a visual warning.
Zones whose POC row has a confirming buy or sell imbalance are marked with a ⚡ symbol on their label, indicating that the most-traded price level within the bar showed a pronounced one-sided order flow skew.
Visual encoding
Full-opacity zone — footprint delta confirmed the zone direction. Treat as a standard level.
Faded zone (Weak Zone Transparency) — delta contradicted the zone direction. Approach with caution; order flow did not support the move.
Heavily faded zone (Mitigated Transparency) — price has since closed through the far edge of the zone. The level has been invalidated.
⚡ label marker — the POC row of the origin bar showed a confirming imbalance, suggesting concentrated institutional activity at the most-traded price.
Inputs
Detection
ATR Length — lookback period for ATR, which controls zone width, displacement sensitivity, and reaction targets across the entire indicator. Lower values (e.g. 7) make ATR respond faster to recent volatility, producing narrower zones on quiet bars. Higher values (e.g. 21) smooth out spikes for more consistent sizing. Default: 14.
Displacement Multiplier — minimum candle body size as a multiple of ATR required to qualify as a displacement move. Lower values (e.g. 0.5) detect more zones including smaller impulses. Higher values (e.g. 1.5–2.0) filter down to only the most explosive candles. Default: 1.0.
Volume MA Length — lookback period for the volume simple moving average used to compute relative volume. Lower values (e.g. 10) make the baseline adapt quickly so only larger surges register. Higher values (e.g. 50) treat moderate volume increases as more significant. Affects the strength score only, not zone placement. Default: 20.
Zone Width ATR Multiplier — height of each zone expressed as a multiple of ATR at detection. Lower values (e.g. 0.3) produce tight zones that require a precise re-entry. Higher values (e.g. 1.0) tolerate wider wicks before a touch is registered. Default: 0.5.
Confirmation Bars — number of bars price must hold outside the zone after the displacement candle before the zone is drawn. Lower values (e.g. 1–2) capture zones faster but allow more false starts. Higher values (e.g. 5+) require a sustained move away and reduce noise. Default: 3.
Volume Footprint
Ticks Per Footprint Row — price range of each footprint row in ticks. Smaller values (e.g. 10–25) produce more granular rows and more detailed POC detection. Larger values (e.g. 200–500) aggregate into fewer rows and run faster. Match to your instrument: for ES futures (0.25 pts/tick), 100 ticks = 25 points per row; for BTC (0.10/tick), 1000 ticks ≈ $100 per row. Default: 100.
Value Area % — percentage of total bar volume that defines the Value Area, following standard market profile convention. Raising this widens the VA; lowering it tightens it. Default: 70.
Imbalance Threshold % — how much a row's buy volume must exceed the row below's sell volume (or vice versa) to be flagged as imbalanced. At 300%, buy volume must be 3× the adjacent row's sell volume. Lower values (e.g. 150%) flag more imbalances; higher values (e.g. 500%) flag only extreme skews. Default: 300.
Show Delta on Zone — when enabled, the zone label includes the footprint delta direction (▲/▼) and size in thousands at the origin bar. Disable to show only the strength score. Default: on.
Highlight Imbalanced Zones — when enabled, zones whose origin bar POC row has a confirming directional imbalance are marked with ⚡ in the label. Disable to suppress imbalance detection entirely. Default: on.
Statistics
Show Performance Heatmap — toggles the heatmap table in the top-right corner. The table groups zones into five strength bins and shows demand win rate, supply win rate, total zone count, and delta confirmation rate per bin, colour-coded from red (low) to green (high). Default: on.
Reaction Target (ATR) — how far price must move away from a zone after touching it to count as a successful reaction, in ATR multiples. Lower values (e.g. 0.5) count small bounces as wins; higher values (e.g. 2.5–3.0) require meaningful moves. Affects statistics only — does not resize zones. Default: 1.5.
Style
Demand Color — fill and border colour for demand zones. The opacity set in the colour picker controls baseline transparency; delta-confirmed zones render at this opacity while weak zones are additionally faded. Default: green at 60% transparency.
Supply Color — fill and border colour for supply zones. The same transparency layering applies as demand zones. Default: red at 60% transparency.
Weak Zone Transparency — transparency applied to zones where footprint delta contradicts the zone direction. Higher values (closer to 100) make weak zones nearly invisible. Lower values keep them visible as a caution marker. Default: 82.
Mitigated Transparency — transparency applied after a zone is invalidated by price closing through its far edge. Higher values clean up the chart; lower values retain mitigated zones as historical context. Default: 90.
Usage notes
Before trusting any zone, check the label: a ▼ delta on a demand zone or ▲ delta on a supply zone means aggressive order flow did not support the move. Wait for additional confirmation before entering against the zone.
The ⚡ marker identifies zones where the most-traded price level within the displacement bar showed a one-sided imbalance. These levels represent potential areas of concentrated institutional activity and may produce stronger reactions than unmarked zones.
Use the performance heatmap to calibrate your displacement and volume inputs. If the highest-scoring bins (6–8, 8+) are showing low win rates for your instrument, the displacement multiplier may be too low and is capturing impulsive but unsustained moves.
The Δ Conf% column in the heatmap shows what fraction of zones in each strength bin had confirming delta. If high-strength zones show low confirmation rates on your instrument, consider whether a different timeframe or session gives more reliable footprint data.
Footprint data requires a TradingView subscription tier that provides volume footprint access. On instruments or timeframes where footprint is unavailable, delta values display as "Δ n/a" and all zones default to confirmed status so zone detection still functions.
Ticks Per Footprint Row is the most instrument-sensitive input. Set it too small and computation overhead increases; set it too large and POC imbalance detection loses resolution. For equity index futures, 50–100 ticks per row is a reasonable starting range.
Mitigated zones (heavily faded) mark levels where price has already broken through. They are kept visible by default as historical reference but can be hidden completely by setting Mitigated Transparency to 100.
This indicator does not generate entry signals. It identifies structural levels with order flow context. Combine it with a trigger mechanism — a lower-timeframe confirmation candle, a momentum signal, or a volume surge — before committing to a trade.
インジケーター
Volume Footprint [Simplifyed]Volume Footprint
Overview
Most volume indicators tell you how much was traded. This indicator tells you who won . Volume Footprint displays the order flow breakdown inside every bar — how many contracts were bought aggressively versus sold aggressively at each price level — so you can see where institutional participation is concentrated and whether that participation is consistent with the direction price actually moved.
The core insight is simple: price only moves when effort fails to produce a result. A bar dominated by sell orders that still closes higher is not bearish — it is a sign that passive buyers absorbed every aggressive seller. The next move is likely up. This script surfaces those inefficiencies directly on your chart.
Requires a TradingView Premium or Ultimate plan for the request.footprint() API.
How it works
The script requests a full footprint for each bar via Pine Script v6's native request.footprint() call. Each bar is divided into rows based on a user-defined tick width. Every row shows its delta — the net difference between aggressive buy volume and aggressive sell volume at that price level.
footprint fp = request.footprint(i_ticks, i_va, i_imbal)
float barDelta = fp.delta()
array rows = fp.rows()
Six signal types are derived from that data:
Bear Trap (green label) — the majority of sell-delta rows are clustered in the bottom third of the bar. Sellers entered at the lows and were absorbed. Their break-even stop is the bar's POC.
Bull Trap (red label) — the majority of buy-delta rows are clustered in the top third of the bar. Buyers entered at the highs and were absorbed. Their break-even stop is the bar's POC.
Squeeze Up / Squeeze Down (diamond) — price crosses through a Vulnerability Line drawn at a prior trap bar's POC. Trapped participants hit their stops and accelerate the move.
Ineff Sell / Ineff Buy (circle) — bar delta is negative but the candle closed up (or vice versa). Effort did not produce the expected result. The aggressive side is exhausted.
Vulnerability Line (dashed) — a horizontal line extending from each trap bar's POC. This is the trapped trader's break-even level. It turns dotted when consumed by a Squeeze signal.
Iceberg Row (bright border) — a row where total volume exceeds a multiple of the bar's average row volume. Signature of a passive institutional limit order silently absorbing aggression.
Bar rows are coloured by delta direction: teal for net buying, red for net selling. Row opacity scales with volume when the gradient mode is enabled. The Value Area (the range of rows containing a user-defined percentage of total bar volume) receives a gold border. The POC row receives an orange border.
The bar delta label at the bottom of each bar shows the net delta, volume context (FRESH / EXIT up / EXIT down), and a summary of imbalance counts. A star prefix (★) on trap labels means the trap fired at the edge of the recent N-bar range — the highest-conviction location.
Inputs
Footprint
Ticks per Row — controls the price granularity of each footprint row. One tick equals syminfo.mintick. Lower values (e.g. 10) produce more rows and finer detail but consume more drawing objects; higher values (e.g. 500) produce fewer, coarser rows. Target approximately 25 rows per bar. Use the "ATR Ticks Hint" value in the Data Window as a starting point. Default: 100.
Value Area % — the percentage of total bar volume used to define the Value Area. The standard market profile convention is 70. Raising this to 90 widens the highlighted region; lowering it to 50 tightens it to only the highest-volume core. Default: 70.
Imbalance Threshold % — a row is flagged as having a buy imbalance when its buy volume exceeds this percentage of the row below's sell volume (and vice versa for sell imbalance). At 300%, a row needs 3× the adjacent row's opposing volume to qualify. Lower values (e.g. 150) produce more frequent imbalance markers; higher values (e.g. 500) flag only extreme stacking. Default: 300.
Signals
Fresh/Exit Range (bars) — the lookback window used to classify whether the current bar is in the middle of the recent range (FRESH — new institutional entry) or at its extremes (EXIT — take-profits or stops). A value of 20 uses the prior 20 bars. Shorter lookbacks (e.g. 5) react to recent swings; longer lookbacks (e.g. 50) classify against a broader structural range. Default: 20.
Iceberg Threshold (x avg row vol) — a row is highlighted as an iceberg when its volume exceeds this multiple of the bar's average row volume. At 3.0×, a row needs three times the average to qualify. Lower values (e.g. 2.0) highlight more rows; higher values (e.g. 6.0) flag only the most extreme absorption events. Default: 3.0.
Candle Shape Filter for Traps — when enabled, a Bear Trap additionally requires a hammer candle (lower wick at least 2× the body, upper wick at most 0.5× the body) and a Bull Trap additionally requires a shooting-star candle. This reduces signal frequency and increases precision. Disable it on instruments where wick structure is less reliable (e.g. crypto with frequent spikes). Default: off.
Display
Value Area Highlight — draws a gold border on rows within the Value Area. Default: on.
POC Highlight — draws an orange border on the Point of Control row (highest volume row in the bar). Default: on.
Imbalance Markers — plots a small triangle at the top or bottom of rows with a buy or sell imbalance. Default: on.
Bar Delta Label — displays a label below each bar showing total bar delta, volume context, and dominant imbalance count. Default: on.
Trap Signals — shows Bear Trap and Bull Trap labels on qualifying bars. A ★ prefix indicates the trap fired at a range edge. Default: on.
Vulnerability Lines — draws a dashed horizontal line at each trap bar's POC, extending to the right until consumed by a Squeeze signal. Default: on.
Squeeze Signals — plots a label when price crosses through a Vulnerability Line, triggering forced exits from trapped participants. Default: on.
Efficiency Signals (Effort vs Result) — plots Ineff Sell and Ineff Buy labels when delta direction and candle direction disagree. Default: on.
Volume Gradient — when enabled, each row's background opacity scales with its share of total bar volume, making high-volume rows visually heavier. When disabled, all rows use a flat background colour. Default: off.
Label Size — sets the text size of row delta labels. Options: tiny, small, normal. Default: tiny.
Usage notes
Read the "ATR Ticks Hint" value from the Data Window before setting Ticks per Row. Divide the hint by 25 to find a starting point that yields approximately 25 rows per bar. Too few rows (under 10) loses resolution; too many rows (over 40) consumes drawing objects rapidly and shows only the last few bars in full detail.
Full footprint detail (boxes and labels) is limited to approximately the last 13 bars due to drawing object limits (500 boxes, 500 labels). All signals — traps, squeezes, efficiency — are plotted on all historical bars via plotshape and barcolor, so you can scroll back to review signal history without losing them.
Treat the ★ trap label as higher conviction than an unmarked trap. A trap firing in the middle of a range has less context than one firing at a structural high or low where stops are naturally clustered.
A Vulnerability Line turning dotted is the Squeeze confirmation. The price crossing the line is the mechanical event; the line changing style is its visual acknowledgement. Monitor open Vulnerability Lines for potential squeeze setups forming over multiple bars.
Ineff Sell and Ineff Buy signals are strongest when they appear in the FRESH zone (bar label shows "FRESH"), meaning institutional participants entered mid-range and their effort failed. Efficiency signals in EXIT zones are more ambiguous — they may simply reflect profit-taking.
A row with a bright iceberg border is a price level to watch on subsequent bars. Institutions building positions via iceberg orders at a specific level tend to defend that level on retests.
This indicator requires one request.footprint() call per script. You cannot combine it with other scripts that also use request.footprint() on the same chart due to Pine Script's single-footprint-per-indicator constraint.
Recommended pairings
Volume Footprint is most effective when combined with a structural context tool — a supply and demand zone indicator or a swing high/low marker — so you can confirm whether trap and squeeze signals are firing at meaningful price levels. A session volume profile (VPVR) on the same chart helps identify whether the current bar's POC aligns with a broader high-volume node or is isolated. インジケーター
Advanced CVD Div by E3KE3K CVD Div — Cumulative Volume Delta Divergence Detector
This indicator calculates Cumulative Volume Delta (CVD) from intrabar data and detects divergences between price action and order flow across higher timeframe periods.
What it does
Price makes a new high, but buyers aren't actually in control — or price sweeps a low, but sellers aren't really there. This indicator catches those moments by comparing price extremes against CVD extremes across HTF periods, exposing the disagreement between what price shows and what volume confirms .
How it works
- CVD is built from lower-timeframe delta (buy vs. sell volume), giving you true intrabar precision — not just close > open approximations on your chart timeframe
- Each HTF period (auto-selected or manual) tracks CVD and price highs/lows independently
- When a new HTF period's price extreme exceeds the prior period but CVD fails to confirm, a divergence is flagged
- Supports both 2-period and 3-period divergence patterns for deeper structural reads
Two detection methods
- HTF Sweep — Only fires when price wicks beyond a prior HTF high/low (body stays inside). Fewer signals, higher conviction. Designed for sweep-and-reverse setups.
- All — Flags any directional disagreement between price and CVD across HTF periods. More signals, includes hidden divergences.
Key features
- High-precision CVD candles with proper wicks (built from LTF data — auto-selects appropriate resolution)
- Divergence strength scoring (0–1) with adjustable minimum threshold
- Separate bull/bear divergence colors with strength-based opacity
- Optional volume confirmation filter (requires above-average volume)
- Optional rejection candle filter (wick ≥ 60% of bar range)
- Delta spike detection — highlights statistical outlier bars (configurable σ threshold)
- Divergence expiry — auto-removes stale signals after N bars
- Configurable CVD anchor (continuous, daily, weekly, monthly)
- HTF alignment boxes to visualize period boundaries
- Rich alerts with strength, pattern type, method, ticker, and timeframe context
Recommended use
Works on any instrument with volume data. Best on liquid markets (futures, crypto, large-cap equities). Pair with price structure — divergences mark where smart money disagrees with price, but timing depends on your setup.
Credits
Original concept by cdikici71 & tncylyv — original script . Refactored and extended by Euro3000 — Pine v6, typed architecture, precision CVD engine, sweep-aligned divergences, and signal filtering.
インジケーター
CVD IQ [TradingIQ]Hello Traders!
🔹 CVD IQ
CVD IQ is a delta-driven analytical tool designed to reveal how aggressive buying and selling activity translates into price movement.
Instead of relying purely on price, this indicator reconstructs order flow dynamics using lower timeframe data , allowing you to see:
Where did the pressure come from… and how efficiently did it move price?
It focuses on answering a deeper question:
Was the move driven by real participation, or was it inefficient, absorbed, or divergent?
aggressive buy vs sell activity (CVD)
price vs delta divergences
efficiency of price movement relative to flow
cost of moving price (delta per tick)
absorption and imbalance conditions
multi-scale flow analysis (bar, day, swing)
classic divergence detection (RSI style)
🔹 What the indicator shows
🔸 Cumulative Volume Delta (CVD)
CVD is built using lower timeframe data to approximate aggressive buying and selling.
This allows you to track:
whether buyers or sellers are in control
how much pressure is building over time
when participation is increasing or fading
🔸 IMMEDIATE Divergence detection (Classic & Cost Models)
The indicator detects when price and delta are out of sync .
Classic divergence highlights:
price making new highs while delta weakens
price making new lows while delta strengthens
potential exhaustion or reversal conditions
Cost-based divergence goes further by evaluating:
how much delta was required to move price
whether moves are becoming more or less efficient
hidden weakness in “expensive” price movement
This shifts your perspective from:
“price is moving”
to:
“how much effort did it take to move price?”
🔸 CVD Cost Per Tick (Efficiency Analysis)
One of the most important features.
The indicator measures:
Delta per tick = how much aggressive volume was required to move price
This allows you to identify:
efficient moves (low cost → strong response)
inefficient moves (high cost → weak response)
potential exhaustion when cost rises sharply
Each swing is classified into categories like:
Very High Cost
High Cost
Normal Cost
Low Cost
Very Low Cost
High cost often signals absorption or resistance from opposing liquidity .
🔸 Swing-based flow analysis
The indicator breaks market structure into swings and evaluates:
delta across each swing
cost of movement between pivots
relative efficiency vs previous swings
This helps you understand:
whether trends are strengthening or weakening
if continuation is becoming harder
when liquidity is likely opposing the move
🔸 Delta-Implied Close (Expected Price)
The script estimates where price should have closed based on delta.
This gives insight into:
whether price overperformed or underperformed relative to flow
hidden absorption when price fails to match delta
inefficiencies between participation and result
Important Note
This model is adaptive and continuously updates based on changing market conditions. It is not a predictive engine, but rather a framework for interpreting how order flow is currently interacting with price.
🔸 Delta Analysis Table (Bar / Day / Swing)
A live table provides a structured breakdown of flow and price response across three contexts:
current bar
current day
current swing
It includes:
aggressive buy & sell volume
buy/sell percentages
net delta
imbalance ratios
price movement in ticks
close position within range
delta cost per tick
cost classification
absorption detection
This allows you to quickly answer:
Who is in control, and is price responding properly?
🔹 Table Overview
Metric
Name of the metric shown in each row.
Bar
Value calculated for the current bar only.
Day
Value accumulated from the start of the current day.
Swing
Value accumulated from the start of the current swing.
🔹 Flow
Aggressive Buys
Total buy-side market order volume. Higher values indicate stronger buying pressure.
Aggressive Sells
Total sell-side market order volume. Higher values indicate stronger selling pressure.
Buy %
Percentage of total aggressive volume coming from buyers. Higher values indicate buy-side dominance.
Sell %
Percentage of total aggressive volume coming from sellers. Higher values indicate sell-side dominance.
Net Delta
Aggressive buys minus aggressive sells. Positive values favor buyers, negative values favor sellers.
Imbalance Ratio
Relative dominance between buyers and sellers, expressed as a multiple. Higher values indicate stronger directional control.
🔹 Price Response
Total Aggression
Combined aggressive buy and sell volume. Represents total market participation.
Bar Tick Move
Price movement measured in ticks. Shows how far price moved over the period.
Close Position
Where price closed within its range. Higher values mean the close is nearer the high, lower values nearer the low.
🔹 Efficiency & Cost
Delta Cost / Tick
How much delta was required to move price by one tick. Higher values indicate less efficient movement and potential absorption.
Cost
Classification of how expensive the move is relative to recent conditions. High cost suggests resistance or absorption, low cost suggests efficient movement.
Ticks per 1k Delta
Number of ticks price moved per 1000 delta. Higher values indicate more efficient price movement.
Price Move per 1k Delta
Actual price movement per 1000 delta. Higher values indicate stronger price response to order flow.
🔹 Delta-Based Expectations
Delta-Implied Close
The price level where the bar would be expected to close based on the underlying delta.
Move Ratio
Actual price movement relative to the delta-implied move.
1.0 = expected response
1.0 = stronger than expected
<1.0 = weaker than expected
🔹 How to read it
Each component provides a different layer:
CVD → who is active
Divergence → when price and flow disagree
Cost → how efficient the move is
Table → structured confirmation across contexts
Together, this shifts your thinking from:
“price moved up”
to:
“buyers were aggressive - but did price actually respond?”
🔹 Example interpretations
strong delta + efficient move → clean continuation
strong delta + weak move → absorption
rising cost over time → trend weakening
divergence signals → potential reversal or trap
low cost + expansion → strong directional move
🔹 Why this indicator is useful
It gives you:
participation behind price
context for whether moves are efficient
early detection of exhaustion or absorption
a way to quantify “effort vs result”
multi-timeframe flow insight (bar, day, swing)
🔹 Best use cases
confirming trend strength
identifying weak breakouts
spotting absorption at key levels
analyzing liquidity interaction
enhancing price action or liquidity-based models
🔹 Important note
This script uses lower timeframe data to approximate aggressive volume.
This means:
accuracy depends on data availability
different symbols may behave differently
lower timeframe selection impacts results
🔹 Inputs you can customize
lower timeframe for CVD calculation
divergence models (Classic / Cost / Both)
divergence sensitivity (small, medium, large swings)
cost structure length and thresholds
visual styling and colors
delta analysis table size
Closing Notes
CVD IQ is built to show the relationship between participation and outcome .
As always, thank you TradingView! インジケーター
インジケーター
インジケーター
Trade Intelligence Dashboard// =============================================================================
// INDICATOR DESCRIPTION
// =============================================================================
// Name : Trade Intelligence Dashboard
// Version : Pine Script v6
// Type : Indicator (overlay)
// Author : Built with Claude (Anthropic) — designed as a universal debug tool
// Instruments : NQ, MNQ, ES, MES, SPY, QQQ, Stocks — any instrument
// Timeframes : Works on all timeframes
// =============================================================================
//
// OVERVIEW
// --------
// The Trade Intelligence Dashboard is a standalone indicator designed to give traders
// a comprehensive at-a-glance view of market conditions across 9 independent
// analysis sections, all displayed in a single clean horizontal table at the
// bottom of the chart. It is instrument-agnostic and works with any strategy —
// not just the VWAP + CVD strategy it was originally built alongside.
//
// The panel is designed to support real-time trading decisions by surfacing
// the most important technical and structural information in one place, color
// coded for instant interpretation — no hunting through multiple indicators
// or panels.
//
// Because it is a standalone indicator it can be added or removed from any
// chart independently without affecting any strategy script. This makes it
// ideal for live trading sessions where you want maximum information density,
// and easy to remove during backtesting when a clean chart is preferred.
//
// =============================================================================
// LAYOUT
// =============================================================================
//
// The panel displays as a horizontal table across the bottom of the chart
// with 10 columns and 9 rows:
// - Column 0 : Instrument info (always visible, cannot be toggled)
// - Columns 1–9 : Analysis sections (each independently toggleable)
// - Row 0 : Section headers (shaded with Section Header Background color)
// - Rows 1–8 : Metric labels and values
//
// When a section is toggled off its column disappears and all remaining
// columns shift left automatically — the table always stays compact and clean
// regardless of how many sections are active.
//
// =============================================================================
// SECTIONS
// =============================================================================
//
// INSTRUMENT (Col 0 — always visible)
// ------------------------------------
// Displays the selected instrument preset, point value, current price, daily
// change in points, and daily change as a percentage. The instrument preset
// dropdown auto-fills the correct point value for dollar-value calculations
// displayed throughout the panel.
// Presets: NQ (20), MNQ (2), ES (50), MES (5), SPY/QQQ/Stock (1)
//
// VWAP (Col 1)
// ------------
// Shows the relationship between price and session VWAP. Metrics include:
// Above/Below status, distance in points, distance as percentage, VWAP value,
// and dollar distance from VWAP (using point value). Green when price is above
// VWAP, red when below.
//
// TREND (Col 2)
// -------------
// Displays the current trend direction (Up/Down/Flat), whether the trend is
// strong enough to trade (based on ATR multiple threshold), trend strength in
// points, and trend strength expressed as an ATR multiple. Green for bullish,
// red for bearish, white for flat/neutral.
//
// ATR & VOLATILITY (Col 3)
// ------------------------
// Shows the current ATR value, ATR as a percentage of price, volatility
// condition (OK or Low based on minimum ATR % floor), ATR dollar value
// (ATR × point value), and ATR direction with percentage change from the
// previous bar. Useful for understanding whether current conditions are
// favorable for momentum trades.
//
// CVD — Cumulative Volume Delta (Col 4)
// --------------------------------------
// Displays the session CVD value (resets each day when session reset is
// enabled), CVD threshold, overall CVD direction (Bullish/Bearish/Neutral),
// CVD position relative to threshold (Above/Inside/Below), and the session
// reset status. Green for bullish CVD, red for bearish, yellow for neutral/
// inside threshold. Note: CVD uses bar direction as a proxy for true delta
// since bid/ask volume is unavailable in Pine Script.
//
// EMA/SMA (Col 5)
// ---------------
// Shows the fast MA value and direction, slow MA value and direction, the
// most recent cross signal (Bullish Cross / Bearish Cross / None), and
// price position relative to both the fast and slow MA. MA mode (EMA or SMA)
// and both lengths are fully user adjustable. MA lines for fast and slow are
// also plotted on the chart when this section is enabled. Green for rising/
// bullish, red for falling/bearish.
//
// VOLUME (Col 6)
// --------------
// Displays current bar volume, volume classification vs average (High/Normal/
// Low based on user-defined thresholds), volume ratio (current vs average),
// bar pressure (Buying/Selling/Neutral based on bar direction), and the volume
// moving average value. High volume = green, low volume = red, normal = white.
//
// MARKET STRUCTURE (Col 7)
// ------------------------
// Tracks swing highs and lows using pivot detection to identify the current
// market structure. Displays the last swing type (HH/HL/LH/LL), overall
// structure bias (Bullish/Bearish/Neutral), bars since the last swing, last
// swing high and low values, and swing range in points. HH/HL = green
// (bullish structure), LH/LL = red (bearish structure).
//
// RSI (Col 8)
// -----------
// Shows the current RSI value, condition (Overbought/Oversold/Neutral),
// RSI trend (Rising/Falling/Flat), overbought and oversold levels, and
// RSI distance from the 50 midline. RSI above 50 = green, below 50 = red,
// at 50 = yellow. Overbought = red (caution), oversold = green (opportunity).
// RSI length and OB/OS levels are fully user adjustable.
//
// PRICE ACTION (Col 9)
// --------------------
// Displays bar-level price action analysis including: bar direction (Bullish/
// Bearish/Doji), bar range in points and dollars, bar range vs current ATR
// (above 1x ATR = green, below = red), bar close position (Upper/Mid/Lower
// third of the bar range), and consecutive bullish or bearish bar count.
// This section helps identify momentum, exhaustion, and conviction at the
// bar level without needing a separate candlestick pattern indicator.
//
// =============================================================================
// COLOR CODING SYSTEM
// =============================================================================
//
// All values throughout the panel follow a consistent dynamic color system:
//
// Green (Positive Color) — bullish, true, above, rising, high, OK,
// long, buying, HH/HL, oversold RSI (opportunity)
// Red (Negative Color) — bearish, false, below, falling, low, weak,
// short, selling, LH/LL, overbought RSI (caution)
// Yellow (Warning Color) — neutral boundary, 50% levels, inside threshold,
// Doji bars, equal wicks, RSI at 50
// White (Neutral Color) — raw numbers with no directional meaning,
// labels, static reference values
//
// All four colors are fully user adjustable via the Colors input group.
//
// =============================================================================
// DOLLAR VALUE CALCULATIONS
// =============================================================================
//
// Several metrics display dollar values calculated by multiplying point values
// by the instrument point value from the preset. This makes the panel
// immediately useful for futures traders who think in dollar terms:
//
// NQ — 1 point = $20 (full size Nasdaq futures)
// MNQ — 1 point = $2 (micro Nasdaq futures)
// ES — 1 point = $50 (full size S&P 500 futures)
// MES — 1 point = $5 (micro S&P 500 futures)
// SPY / QQQ / Stock — 1 point = $1 (shares, adjust for lot size manually)
//
// Dollar values appear for: VWAP distance, ATR value, and bar range.
//
// =============================================================================
// DISPLAY SETTINGS
// =============================================================================
//
// Box Position — Top Right, Top Left, Bottom Right, Bottom Left
// Box Text Size — Small (size.tiny), Medium (size.small), Large (size.normal)
// Box Background — fully user adjustable color
// Box Text Color — fully user adjustable color
// Box Border — thickness 0–5, fully user adjustable
// Section Header — separate background color for section header row
//
// =============================================================================
// USAGE TIPS
// =============================================================================
//
// - Add this indicator to any chart independently of any strategy script.
// It recalculates all values from scratch using only price and volume data
// so it works alongside any strategy without conflicts.
//
// - Toggle sections off that are not relevant to your current setup to keep
// the panel compact. For example, if you are not using MA-based entries
// you can toggle off the EMA/SMA section entirely.
//
// - Use the Instrument preset to ensure dollar value calculations match your
// actual instrument. For NQ set to NQ, for MNQ set to MNQ etc.
//
// - The CVD session reset toggle should match the setting in your strategy
// script for consistent values across both panels.
//
// - For intraday trading the panel works best on timeframes of 1m through
// 30m. On daily or weekly charts the session-based metrics (CVD, session
// high/low, VWAP) will reflect longer periods which may not be meaningful
// for intraday setups.
//
// - Use TradingView Templates (gear icon → template dropdown → Save As) to
// save separate panel configurations for different instruments, with only
// the relevant sections enabled for each.
//
// - The MA lines (Fast MA and Slow MA) only plot on the chart when the
// EMA/SMA section is toggled on. Toggle it off to hide the MA lines from
// the chart without removing the indicator entirely.
//
// - The VWAP line also only plots when the VWAP section is toggled on.
// If you have a separate VWAP indicator already on the chart, toggle the
// VWAP section off to avoid duplicate lines.
// ============================================================================= インジケーター
Buyer vs Seller PressureFind out who's really winning each candle — buyers or sellers.
Volume tells you how much trading happened. This indicator goes further — it estimates who won . Every candle is broken down to calculate how much of its volume was driven by buying pressure versus selling pressure. The result is shown as a histogram for each bar, plus a running score that reveals which side has been accumulating dominance over the entire session.
──── What You're Looking At ────
Green histogram bars — buyers dominated that candle. More volume was transacted at the ask (buyers lifting offers) than at the bid.
Red histogram bars — sellers dominated that candle. More volume was transacted at the bid (sellers hitting bids).
Teal/cyan line (rising, above zero) — cumulative buying has dominated since the last reset. Buyers are in control overall.
Red line (falling, below zero) — cumulative selling has dominated. Sellers are in control overall.
Diamond dots — absorption signals (see below).
──── The Absorption Signal ────
The most powerful feature of this indicator is detecting absorption — moments where the price moved in one direction on the surface, but the actual volume pressure went the opposite way. This is often a sign that large participants were quietly working against the visible move:
Red diamond (top of panel) — the candle closed up , but sellers controlled more of the volume. Smart money may have been selling into the rally. Watch for the move to stall or reverse.
Green diamond (bottom of panel) — the candle closed down , but buyers controlled more of the volume. Smart money may have been buying the dip quietly. Watch for the move to stall or reverse.
──── How to Read It ────
Compare candle direction vs histogram color . A green candle with a green bar is genuine buying. A green candle with a red bar is a warning — the price went up but sellers were in control of the volume.
Watch the cumulative line direction relative to price. If price is rising but the cumulative line is flat or falling, buying pressure is not supporting the move. This is a divergence worth watching.
When the cumulative line crosses zero , the session has shifted from net-buying to net-selling (or vice versa) — a meaningful change in who is in control.
Cluster of absorption diamonds at a key level (support, resistance, fair value) signals that someone large is operating there. These are the highest-quality absorption signals.
──── Settings ────
Settings
CVD Reset Period — when to zero out the running total and start fresh:
Session — resets daily. Best for intraday analysis.
Week — resets every Monday.
Month — resets at the start of each month.
Never — accumulates continuously without resetting. Useful for spotting large structural shifts over weeks or months.
Show Per-Bar Delta Histogram — toggle the bar-by-bar buying vs selling columns.
Show Cumulative Delta Line — toggle the running session total line.
Show Intrabar Divergence Dots — toggle the absorption diamond markers.
Colors
Delta Bullish / Bearish — colors for the histogram bars (per-candle).
CVD Bullish / Bearish — colors for the cumulative line when it is above or below zero.
──── Alerts ────
CVD Crossed Above Zero — buying pressure is now dominant for the session
CVD Crossed Below Zero — selling pressure is now dominant for the session
Seller Absorption — price moved up but sellers dominated the volume
Buyer Absorption — price moved down but buyers dominated the volume
──── Tips ────
This indicator works best on intraday timeframes (1m–15m) with Session reset. The shorter the bar, the more meaningful individual delta readings become.
The most powerful signal this indicator produces is cumulative line divergence from price — price making a new session high while the cumulative line is falling. This is a classic distribution pattern used by institutional traders to identify hidden selling.
Do not act on absorption signals alone. Use them as confirmation when they appear at a key level — near the fair value line, at obvious support or resistance, or at a previous day's high or low.
Combine with Fair Value Zones : absorption signals that appear near the fair value line carry significantly more weight than those in the middle of a range.
Limitation to be aware of: Without direct access to exchange tick data, buying and selling volume is estimated from candle structure. The readings are a reliable guide and widely used by professional traders, but they are approximations rather than exact figures. Real tick-level data requires a specialist data provider.
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