Institutional Order Flow Signals [PMT]Institutional Order Flow Signals applies a Gaussian Naive Bayes classifier — trained entirely within Pine Script® v6 — to cumulative volume delta divergence in order to surface, in real time, three mutually exclusive market regime states: bullish re-alignment, bearish re-alignment, and order flow divergence.
The core question this indicator addresses is distinct from threshold-crossover approaches: given the current statistical pattern of delta momentum, price/CVD divergence, and delta slope, what is the posterior probability that the market is entering — or exiting — a directional institutional order flow regime?
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🔷 WHAT IT MEASURES
🔸 Cumulative Volume Delta (CVD)
CVD is the running sum of intrabar net order flow — buy volume minus sell volume — estimated via the close-position formula: bull_vol = volume × (close − low) / (high − low). The cumulative series tracks persistent institutional buying or selling pressure independently of price direction, making it a first-order proxy for directional order flow without requiring exchange-level bid/ask data.
🔸 Three Z-Score Normalised Features
Each bar, the classifier receives three inputs derived from CVD and z-score normalised for cross-instrument compatibility:
F1 — CVD Momentum : rate of change of CVD over N bars, normalised by its rolling mean and standard deviation. Encodes how rapidly buying or selling pressure is accelerating relative to its own recent baseline.
F2 — Price/CVD Divergence : price rate of change minus CVD rate of change. A large positive value signals price rising while order flow is falling — the classic institutional distribution pattern. Near-zero values indicate price and flow agreement.
F3 — CVD Slope : linear regression slope of CVD over a short window, z-score normalised. Provides a direction-of-flow signal independent of F1's momentum measure, satisfying the Naive Bayes conditional independence assumption as closely as CVD-derived features can.
🔸 Market Regime Labels
Three mutually exclusive regimes are recognised. A bullish re-alignment bar is one where both price ROC and CVD ROC are positive — institutional flow and price confirm each other to the upside. A bearish re-alignment bar is the symmetric case. A divergence bar occurs when price and order flow point in opposite directions — historically associated with regime transitions and distribution/accumulation activity.
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🔷 THE CLASSIFIER
🔸 Welford Online Learning
The classifier accumulates running sufficient statistics — count, mean, and variance — for each of the nine (feature × regime) combinations using Welford's numerically stable online update. No historical arrays are stored. The model's parameters shift gradually with each new bar, making it adaptive to changing market microstructure conditions without a fixed lookback window.
🔸 Gaussian Likelihood + Bayesian Posterior
Each feature is modelled as a Gaussian distribution under each class. The joint likelihood of the current feature vector is computed by multiplying the three per-feature probability densities under the Naive Bayes independence assumption. A class prior — updated empirically from observed regime frequencies — is combined with the joint likelihood via Bayes' theorem to produce posterior probabilities P(Bull | F1,F2,F3) and P(Bear | F1,F2,F3) for the current bar. A warmup gate suppresses signals until the classifier has accumulated statistically meaningful training observations.
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🔷 SIGNALS AND DISPLAY
🔸 High-Conviction Buy — P(Bull) > 85%
A long signal fires when the bull posterior clears the configurable threshold, CVD momentum confirms, and price is above the trend EMA. The threshold is surfaced on the label itself, making the confidence level explicit at every entry rather than hidden inside an opaque signal.
🔸 Bear Signal — CVD Divergence
A short signal fires when the bear posterior clears threshold and F2 is in active divergence territory — price moving up while order flow is declining, or the symmetric distribution case. CVD divergence without posterior confirmation does not produce a signal; both conditions are required simultaneously.
🔸 Bull Regime Band — CVD Aligned
A fill band anchored to the trend EMA expands when the classifier assigns high posterior probability to a sustained bullish re-alignment regime. The opacity of the band scales with the posterior — faint during low-confidence periods, saturated when the classifier considers the regime firmly established.
🔸 Info Table
Live readout displays current bull and bear posteriors, CVD direction, and training bar count. The Trained N counter confirms the classifier has completed warmup before acting on any signal.
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🔷 INPUTS
Classifier Lookback — minimum training bars before signals activate. Default 100.
Entry Posterior Threshold — minimum posterior required. 0.60 permissive; 0.70 default; 0.80 high-conviction only.
CVD Momentum Period — lookback for F1 and F2 rate of change.
CVD Slope Period — regression window for F3.
Z-Score Period — normalisation window applied across all three features.
Trend EMA Period — macro filter; long signals only fire above EMA, short signals below.
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🔷 REQUIREMENTS AND LIMITATIONS
The classifier requires a warmup period before signals are valid. The CVD estimator is synthetic — derived from intrabar price position, not actual bid/ask data — and introduces noise on instruments with low liquidity or wide spreads. The Naive Bayes independence assumption is partially violated because all three features are CVD-derived; the posteriors function as relative confidence scores rather than calibrated frequentist probabilities.
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Built natively in Pine Script® v6. No external libraries, no data feeds, no fixed lookback arrays. The Gaussian Naive Bayes classifier trains continuously from the chart's own bar history using Welford's online algorithm. Open source — Mozilla Public License 2.0. 指标
Volume Waves (Buy / Sell / Delta) [footprint data]
⚠️ This indicator uses footprint data and requires TradingView Premium plan or higher. Without footprint support the waves will not appear.
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Volume Waves (Buy / Sell / Δ) is a footprint-based volume visualization that renders buy volume, sell volume and delta directly on the price chart as adaptive filled waves - no separate pane, everything stays on the candles where it belongs.
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What you see
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Three layers are rendered directly on the chart:
Volume wave (gray) — total buying or selling activity scaled to recent history. Shows how significant the current bar's volume is compared to the lookback window.
Delta wave (semi-transparent lime / purple) — positive delta (buyers dominated) is lime, negative delta (sellers dominated) is purple. Rendered on top of the volume wave, always stays within its boundaries.
Extreme delta (fully opaque lime / purple) — same colors, full opacity. Appears only when both volume and imbalance cross their thresholds simultaneously. The brighter the spike stands out against the semi-transparent background — the more significant that bar was.
The waves are normalized relative to recent market activity and scaled dynamically using ATR, allowing the visualization to remain readable across different instruments and timeframes without constant manual adjustment.
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Why footprint data matters
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Most "buy/sell volume" or "volume delta" indicators available on charts do not use actual trade classification. They approximate — typically by comparing the candle's close to its open and assuming the entire volume was either buying or selling, or by applying the same approximation from a lower timeframe (the accuracy does not improve from this — the method stays the same, only the scale changes).
Footprint data works differently. When supported by the broker and exchange feed, TradingView provides bid/ask-classified executed trades where each transaction is identified as aggressive buying or selling at the moment of execution. Not calculated from price behavior, not estimated from candle shape — recorded as a fact from the exchange order book.
This distinction becomes especially important around:
high-liquidity levels and absorption zones,
breakouts and exhaustion moves,
and news-driven volatility.
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Display modes
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Two sides — buy and sell waves expand in opposite directions from the baseline: buy volume upward, sell volume downward. Buyer and seller dominance is immediately visible.
One side — buy and sell volume are stacked upward together as total activity. Useful when focusing on participation intensity or volatility expansion. The delta wave remains visible and colored by sign — directional information is always present.
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How it is built
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Shared normalization. Buy and sell volume are both divided by the same highest total volume over the lookback window. This preserves the real proportion between them and ensures delta always reflects the correct sign and magnitude. Independently normalized sides would distort this relationship.
Adaptive ATR scaling. Wave height = normalized volume × ATR(200) × scale factor. This gives the indicator automatic adaptation across markets, stable visual proportions across timeframes, and consistent readability during volatility expansion. Quiet markets remain compact, volatile markets naturally expand. The scale factor setting provides additional manual control when needed.
Visible-area rendering. Waves are built only for bars currently visible on screen using chart.left_visible_bar_time and chart.right_visible_bar_time . The loop range accounts for the offset of the last bar from the right edge — correctly handling situations when recent bars are outside the viewport after scrolling left. When scrolling or zooming, the structure recalculates intentionally to preserve local proportionality.
Baseline positioning. The baseline can be placed manually via the position setting: top, bottom or middle of the visible range. In auto mode the indicator checks whether current price is in the upper or lower half of the visible range and positions the baseline on the opposite side — in most cases preventing overlap with candles without manual adjustment.
Extreme delta detection. A bar is marked as extreme only when two conditions are met simultaneously: total volume exceeds a configured percentile of recent history (Lookback Window
- 500 bars by default), and absolute delta exceeds a configured percentage of total bar volume. This filtering removes low-volume noise, small meaningless imbalances, and high-volume but balanced bars. Only bars where both participation and asymmetry are genuinely exceptional are highlighted. Both thresholds are independently adjustable.
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How to read it
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Dominance. When buy waves consistently exceed sell waves — buyers are participating more aggressively. When sell waves dominate — sellers control the auction. The relationship becomes visible instantly without requiring footprint tables or numerical inspection.
Delta as confirmation. Price rising with positive delta means real buying pressure is behind the move. Price rising while delta weakens or turns negative suggests passive absorption may be occurring — the move may lack genuine initiative participation.
Extreme highlights. Fully opaque spikes mark bars where both participation and directional imbalance were exceptional. These bars are often structurally important and tend to stand out clearly even on dense charts — absorption, exhaustion, breakout moments.
Info label. On the last bar a small label shows buy volume, sell volume, delta value and delta as a percentage of total volume — quick numerical context without opening a separate footprint panel.
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Settings
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side — one side or two sides visualization
position — baseline placement: auto / top / bottom / middle
shift — offset between baseline and chart edge
scale factor — overall wave height multiplier
Lookback Window — normalization and percentile range
Delta % threshold — minimum imbalance percentage for extreme detection
Volume Percentile % — minimum participation percentile for extreme detection
show volume — toggle buy/sell volume waves
show delta — toggle delta overlay and extreme highlights
delta transparency — two inline values: opacity for regular delta and for extreme highlights separately
show label — toggle information label on last bar
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Notes
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Footprint data required. The indicator uses request.footprint() available on TradingView Premium or higher. Availability also depends on broker and exchange feed support.
Updates on scroll. Waves recalculate every time the visible area changes — intentionally. You always see volume structure scaled to what is currently on screen.
If you find it useful — a boost or comment is appreciated. Feedback and suggestions are always welcome.
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Average Daily Range Percentage (ADR%) and Average Daily VolumeTwo critical pre-trade filters, always visible right on your chart.
Before entering any swing trade, you need to know two things: is this stock volatile enough to move your account, and is it liquid enough to trade cleanly? This indicator answers both questions at a glance.
**ADR% (Average Daily Range)** measures how much a stock moves on an average day. Too low and it won't move your portfolio. Too high and the daily noise will stop you out randomly. The color tells you where you stand instantly.
**ADV (Average Dollar Volume)** measures how much money flows through the stock each day. Liquid stocks respect key levels, pull back cleanly to moving averages, and don't gap randomly on low volume. Illiquid stocks do the opposite.
Both values are color-coded against your thresholds:
🟢 Green — within your ideal range
🟠 Orange — borderline, proceed with caution
🔴 Red — outside your criteria, skip it
Fully customizable:
ADR% and ADV thresholds
Warning zones for borderline values
Lookback periods for both calculations
Colors for good, warning, and bad values
Default thresholds are calibrated for swing traders. Adjust to match your account size and risk tolerance.
Built for swing traders who want clean, fast chart reviews without second-guessing liquidity or volatility on every name. 指标
Stockbee Sugar Babies Pine Screener by QuadrantLowerPLEASE NOTE: this is intended to be used with TradingView's Pine Screener and not as a chart indicator!
At the time of writing, TradingView's Pine Screener is in Beta and, as a result, using this script is somewhat painful and should be considered experimental - it is a proof of concept and does not offer a great user experience. Sorry about that!
This script is for helping you generate a weekly Watchlist of Sugar Babies - this is Stockbee/Pradeep Bonde's concept of stocks which have a history of making 4%+ breakouts with institutional volume (9M+ on the day) - that you can then keep a close eye on and look for breakout, reversal and anticipation trades (as per Pradeep's methodology).
To use this screener:
Favourite the script so that it shows up in TradingView’s Pine Screener
Create watchlists to filter - unfortunately, this is how TradingView’s Pine Screener currently works - you can't simply scan the entire market. At the time of writing, TradingView has a limit of 500 symbols per Watchlist (for all subscriptions other than Basic, which has 30, and Ultimate, which has 1000), so you will need to split up the market into separate watchlists. This is painful, but possible, using a combination of TradingView’s Stock Screener, exporting to CSV, editing outside of TradingView and importing to create watchlists. You can significantly minimize the amount of work by reducing the size of the universe to your needs (e.g. minimum Market Cap, minimum Price, limit to certain sectors only etc.). On the plus side, once this is done, these watchlists are good for many months, but they will atrophy over time as they wont get updated with IPOs or symbol changes.
Launch the Pine Screener, select one of your Watchlists, select the indicator (it will only function on the 1D timeframe, but this is Pine Screener’s default so no worries), click on the columns options button (the three vertical lines button on the top right), enable all of the unchecked columns, then hit scan.
Once the scan is complete you should see the columns populated with data. The green columns represent Bullish EP9s, the red columns represent Bearish EP9s and the orange columns represent the sum of Bullish and Bearish EP9s. There are seven lookback periods – 2Y, 1Y, 6M, 3M, 1M, 10D and 5D. Longer lookbacks are not possible as Pine Screener has a 500 bar (i.e. 500 day) limit.
You can then sort the columns and save the top, say, five results given by each Total column into a separate watchlist – repeat for each of your watchlists until you have distilled your Universe of Sugar Babies for the week :)
Here is an example Sugar Babies Universe Watchlist. Don't ask me to update it - please make your own.
Here are all US stocks available on TradingView in May 2026 filtered by Mkt Cap >= 10M USD and Price >= 0.3 USD, then split in to 20 watchlists:
▚ US Market - Pt 01
▚ US Market - Pt 02
▚ US Market - Pt 03
▚ US Market - Pt 04
▚ US Market - Pt 05
▚ US Market - Pt 06
▚ US Market - Pt 07
▚ US Market - Pt 08
▚ US Market - Pt 09
▚ US Market - Pt 10
▚ US Market - Pt 11
▚ US Market - Pt 12
▚ US Market - Pt 13
▚ US Market - Pt 14
▚ US Market - Pt 15
▚ US Market - Pt 16
▚ US Market - Pt 17
▚ US Market - Pt 18
▚ US Market - Pt 19
▚ US Market - Pt 20
RISK DISCLAIMER
All content, including tools and scripts, released by QuadrantLower are purely for informational and educational purposes only. Nothing herein should be construed as financial advice or a recommendation to buy, sell, or hold any security or financial instrument. All trading involves risk and may not be suitable for all investors. You are solely responsible for your own trading decisions. Past performance is not indicative of future results. 指标
Aura Volume Delta Matrix [Pineify]Aura Volume Delta Matrix
This indicator measures the net demand pressure behind each bar by separating candle volume into buying and selling components, smoothing the difference, and plotting it as a gradient histogram against a signal line. Rather than treating volume as a single unsigned number, it asks: how much of this bar's volume was buying versus selling? The answer — volume delta — reveals whether the crowd was net accumulating or distributing, even when price barely moved.
Key Features
Candle-polarity volume split: full bar volume attributed to buyers when close > open, sellers when close < open, and split 50/50 on doji candles
Dual EMA smoothing pipeline — one pass to extract the trend from noisy raw delta, a second pass to generate a crossover signal line
Normalized gradient histogram: bar intensity scales to the 100-bar rolling maximum, so weak readings appear faint and strong readings appear saturated, giving an immediate visual sense of magnitude relative to recent history
Crossover signals that only fire when delta is already on the correct side of zero — filtering out shallow, mean-reverting crosses that would otherwise generate noise
How It Works
The calculation pipeline has three stages.
Volume attribution: Each bar's total volume is assigned to buyers or sellers based on candle polarity. A bullish close (close > open) attributes 100% to buyers; a bearish close (close < open) attributes 100% to sellers; equal open and close splits it evenly. This is a bar-level proxy for order flow — not tick-level CVD, but a reasonable approximation available on any timeframe without premium data.
Delta smoothing: Raw delta (bullVol − bearVol) is noisy on its own. A configurable EMA (default 14) removes single-bar spikes and reveals the directional bias over recent bars. This smoothed delta is what plots as the histogram.
Signal line: A second EMA (default 9) is applied to the smoothed delta. This behaves like the MACD signal line — when the histogram crosses above it while already positive, demand is re-accelerating from a bullish baseline; crossing below while negative signals the opposite.
The gradient coloring normalizes the histogram against its own 100-bar peak, so you can immediately tell whether current delta intensity is historically significant or just routine churn.
How the Components Work Together
The two-pass EMA structure is intentional. A single EMA of raw delta would react quickly but produce too many false crosses. By smoothing first and then deriving a signal from the smoothed output, the crossover logic only fires when momentum has already built enough to survive the first layer of filtering. The zero-side gate on signals adds a second filter: a bullish crossover below zero means demand is recovering within a still-bearish context, which is a weaker setup than a crossover that occurs while net buying is already dominant. Together these two conditions — crossover confirmed by zero-side context — push the signal rate down and focus it on higher-conviction shifts.
Trading Ideas and Insights
Use bullish crossovers (delta crosses above signal while delta > 0) as a candidate entry trigger on trending assets. Consider waiting for price to also be above a longer-period moving average before acting on the signal.
Divergence between price making a new high and delta making a lower high may indicate absorption — sellers stepping in at resistance without moving price yet. This is worth watching rather than acting on automatically.
On ranging markets, delta will oscillate around zero and the smoothing will compress toward the baseline. Low histogram intensity (faint gradient bars) visually signals low-conviction conditions where crossover signals are less reliable.
The signal line alert conditions can be used to push notifications when the crossover setup occurs, removing the need to watch the chart continuously. Still, confirm with price structure before entering.
As with any volume-based indicator, results vary by asset liquidity and data provider. Crypto and futures markets with transparent volume data tend to produce cleaner delta readings than instruments where reported volume is an estimate.
Unique Aspects
The gradient normalization against a rolling 100-bar peak is a visual improvement over fixed-scale histograms: it adapts to each instrument's typical volume range without manual scaling, making the chart readable across different assets.
The zero-side signal filter avoids a common problem in oscillator crossover systems — signals that fire during shallow pullbacks within a larger counter-trend, where the histogram is technically crossing but the broader context is unfavorable.
The doji split (50/50 at open = close) is a minor but honest edge case handling that most simplified volume delta scripts skip.
How to Use
Add the indicator to any chart. It works on all timeframes, though intraday timeframes tend to show more granular delta shifts.
Watch histogram color and intensity. Solid, saturated green bars suggest strong net buying relative to recent history; faint bars suggest low-conviction buying or a quiet session.
Look for crossovers of the orange signal line. Bullish: histogram rises through the signal line while above zero. Bearish: histogram falls below the signal while below zero. Half-crossovers (histogram crosses signal but is on the wrong side of zero) are filtered from alerts.
Set alerts via the indicator's alert conditions if you want to monitor for crossover setups without watching the chart.
Customization
Delta Smoothing Length (default: 14) — Controls how much the raw volume delta is smoothed before plotting. Higher values produce a slower, more stable histogram but introduce more lag. Lower values react faster and may show more noise.
Signal Line Length (default: 9) — The EMA length applied to the smoothed delta to create the crossover trigger. Shorter values generate more frequent signals; longer values are more selective.
Bullish / Bearish / Signal Colors — Fully customizable to match your chart theme or personal preference.
Conclusion
Aura Volume Delta Matrix translates raw bar volume into a directional demand measure, smooths it through a dual-EMA pipeline, and presents the result as a gradient histogram with a signal-line crossover system. It's most useful for traders who want a volume-based confirmation layer that isn't just "volume went up" but instead reflects which side of the trade had more participation. Pair it with price structure or trend context for best results — no volume indicator tells the full story on its own.
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CandelaCharts - Distributed Volume Matrix📝 Overview
The Distributed Volume Matrix is an advanced volume profiling tool designed to provide a highly visual and granular breakdown of price-volume dynamics over a specified lookback window. Unlike traditional volume profiles, this indicator renders a "heatmap matrix" alongside the chart, allowing traders to instantly identify critical liquidity zones, high-volume nodes, and the Point of Control (POC) with exceptional clarity.
📦 Features
Bipolar Diverging Heatmap: Bins above the Point of Control are colored with a distinct warm palette, while bins below are colored with a cool palette. This immediately contextualizes price action relative to the highest volume node.
Heatmap Stepping: Toggle between a smooth color gradient or a quantized "stepped" heatmap. Stepping breaks volume intensity into distinct thresholds (Low, Medium, High, Extreme), providing a bolder, cleaner visual structure.
Value Area Calculation: Automatically calculates and displays the Value Area High (VAH) and Value Area Low (VAL) based on user-defined volume percentages (default 70%).
Dynamic Lookback Bounds: Clearly visualizes the exact high and low price bounds of the lookback period using beautifully styled dashed lines and semi-transparent bubbles.
Optimized Performance: Built using Pine Script's advanced array and user-defined type (UDT) capabilities to ensure lightning-fast rendering without graphical lag, automatically dynamically capping memory use to available chart history.
Big Order Bubbles: Dynamically highlights extraordinary trading volume directly on the price action. Bubbles are constrained precisely to the active matrix lookback window, scaling in size based on a customizable volume multiplier.
⚙️ Settings
Length: The number of historical bars to include in the volume distribution calculation.
Number of Bins: The vertical resolution of the matrix. Higher values provide finer granularity.
Source: The price source used to determine the volume distribution across bins.
Value Area (%): The percentage of total volume to encompass within the Value Area (VAH to VAL).
Colors: Fully customizable color settings for the Value Area lines, Histogram (Above/Below POC), Point of Control (POC), and Gap Color (bins with 0 volume).
Use Heatmap Stepping: Enable this to quantize the heatmap into solid opacity steps rather than a continuous gradient.
Show Volume: Toggle the display of the formatted volume number on the left side of each histogram bin.
Show Volume Columns: Displays traditional vertical volume columns per bar under the horizontal matrix profile.
Bubbles (Big Order Bubbles): Toggle the display of volume bubbles on the chart and adjust the threshold multiplier. A higher multiplier requires significantly more volume (relative to the moving average) for a bubble to appear.
⚡️ Showcase
Heatmap
Heatmap Stepping
Volume
Gaps
Big Order Bubbles
💡 Usage
Here are a few ways to utilize the Distributed Volume Matrix in your trading strategy:
Value Area Range Trading: Identify mean-reverting setups by fading moves that reject off the Value Area High (VAH) or Value Area Low (VAL), targeting the Point of Control (POC) or opposing side of the range.
Trend Reversal at Extreme Liquidity Nodes: Spot sharp price reversals when the market interacts with a high-volume node identified by the brightest heatmap bins at the edge of the Value Area.
Big Order Tracking: Align Big Order Bubbles with significant Value Area (VAH/VAL) rejections or POC interactions. An extreme volume bubble appearing right as price leaves the Value Area heavily reinforces the move's momentum.
🚨 Alerts
This indicator is purely visual and does not feature built-in alert conditions.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
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Confluence Zone Engine [CZE]# Confluence Zone Engine
A structural analysis indicator that identifies support and resistance zones by clustering Anchored VWAPs and Anchored Volume Profile levels across the chart timeframe and up to three higher timeframes. Each zone is rated 1 to 5 stars based on how many independent sources cluster at the level and how diverse those sources are.
This is a structural analysis tool. It marks where multiple independent technical references agree at a price. It does not place trades or suggest entries, exits, targets, stops, or position sizes.
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## What this script does
The engine runs a six-stage pipeline on every confirmed bar:
**Stage 1 — Pivot detection.** Detects pivot highs and pivot lows at Fibonacci-spaced lengths (3, 5, 8, 13, 21, 34, 55, 89). Each pivot becomes an "anchor" point. Default enabled tiers are 8, 21, and 34 — selected to give fast / medium / slow coverage without redundancy. The full Fibonacci set is configurable.
**Stage 2 — Per-anchor calculations.** For every anchor, the engine maintains:
- An Anchored VWAP (volume-weighted average price since the anchor bar)
- An Anchored Volume Profile, which produces a Point of Control (POC = most-traded price since anchor) and a Value Area (VAH and VAL = upper and lower edges of the 70% volume zone)
So a single pivot generates up to 4 contributor levels: AVWAP, POC, VAH, VAL.
**Stage 3 — Higher-timeframe replication.** The same pipeline (stages 1 and 2) re-runs on up to three configurable higher timeframes via non-repainting `request.security` calls. This produces a multi-timeframe view of structural anchors — pivots and AVWAPs from a 1H chart inform what the 5m engine treats as a higher-timeframe reference.
**Stage 4 — Cluster building.** All contributor levels from all enabled timeframes are collected. The cluster builder walks them in price order, merging any that fall within a configurable tolerance (default 0.08% of current price; preset-adjusted per asset class). A cluster with at least the minimum-count threshold becomes a candidate zone.
**Stage 5 — Star rating.** Each zone is rated 1 to 5 stars based on:
- Total contributor count
- Source-type diversity (how many of the 4 source categories — PH-AVWAPs, PL-AVWAPs, POCs, VAH/VAL — are present)
- HTF agreement (whether contributors from multiple timeframes align)
A "Premium" tier flag fires when top stars combine with HTF agreement.
**Stage 6 — State machine.** Each zone is tracked through a lifecycle:
- **Active** (forming, amber): the zone is currently accumulating contributors
- **Pending** (blue): contributor activity has paused; waiting for price to resolve the level
- **Resolved Support** (green), **Resistance** (red), or **Chop** (gray): determined by whether price moved decisively up, decisively down, or stayed range-bound after the zone activated
- **Tested** (dashed border): price entered the resolved zone but has not closed past the defending edge
- **Broken** (dashed orange + "Broken" label): price has closed past the defending edge
- **Flipped**: if a Broken state confirms over multiple closes past a threshold, the zone repaints to the opposite role (broken Resistance becomes Support, broken Support becomes Resistance)
---
## Why this indicator is original (not a simple mashup)
This is not "AVWAP indicator + Volume Profile indicator + multi-timeframe wrapper." Three design choices distinguish it from existing public indicators:
**1. Anchored at every Fibonacci pivot, not at a single user-selected point.** Standard AVWAP indicators require the user to manually click an anchor point. Standard Volume Profile indicators use either a fixed session or a single anchor. This engine automatically detects pivots at multiple Fibonacci lengths and runs an AVWAP + Volume Profile from each one. The number of active anchors at any time is typically 6 to 20, generating 24 to 80 contributor levels — far more than a manually-anchored tool can produce.
**2. Cross-timeframe clustering, not separate per-timeframe overlays.** The engine does not draw 5 separate AVWAPs from a 1H chart, plus 5 from a 4H, plus 5 from a daily. Instead, levels from all timeframes are collected into one pool and clustered in price space. A 1H AVWAP at 23,720 and a daily POC at 23,718 merge into a single zone marked as "two contributors from two timeframes." This produces structural information neither timeframe shows alone.
**3. Compositional bias from the contributor mix.** The cluster builder records *which type* of contributor formed each zone — pivot-high AVWAPs (trapped sellers' breakevens), pivot-low AVWAPs (trapped buyers' breakevens), POCs (acceptance), VAH or VAL (fair-value edges). The directional implication of each type is summed into a "compositional bias" score. A zone built mostly from PL-AVWAPs and VAL contributions leans support; one built from PH-AVWAPs and VAH contributions leans resistance. This is an analytical lens not present in standard S/R indicators, which generally treat all levels as direction-agnostic.
---
## Mashup justification — how the components work together
The four classes of technical analysis used (pivots, AVWAP, Volume Profile, multi-timeframe analysis) are not chosen arbitrarily. Each contributes a dimension the others do not, and the value comes from how they interact:
**Pivots provide the anchors.** Without pivots, AVWAP needs a manual anchor and Volume Profile needs an arbitrary session. Pivots at multiple Fibonacci lengths give the engine *automatic structural anchors* spanning timescales — short-term swings, intraday swings, session-level swings. The Fibonacci spacing (3, 5, 8, 13, 21, 34, 55, 89) ensures the anchors are non-redundant: each tier has a different bar requirement and catches different swings.
**AVWAP measures participant breakeven from each anchor.** This is the "where might trapped participants defend" dimension. An AVWAP from a pivot high is the volume-weighted breakeven for everyone who entered after that high (mostly net-short positions). An AVWAP from a pivot low is the breakeven for everyone who entered after that low (mostly net-long). When price returns to one of these AVWAPs, structurally those participants are at breakeven and have incentive to act.
**Volume Profile measures acceptance from each anchor.** This is the "what price has been most-accepted by volume" dimension. POC is the most-traded price; VAH/VAL are the edges of the 70%-volume range. AVWAP and POC measure different things — average price vs most-accepted price — and frequently disagree. When they *do* agree at a level, that's two independent signals saying "this price matters."
**Multi-timeframe replication tests for structural agreement.** A zone that exists only on the chart timeframe is one-timeframe noise. A zone where chart-TF contributors *agree with* higher-TF contributors at the same price is structural — the same level shows up no matter which timescale you measure from. The engine treats HTF agreement as a primary input to the star rating: HTF-aligned zones can earn an extra star (capped to prevent inflation).
**The clustering is where the value emerges.** Individually, none of these components produce reliable levels. AVWAP gets broken constantly. POC migrates. Pivot levels get violated. But when the engine sees that the 21-pivot AVWAP, the 34-pivot POC, the 8-pivot VAL, and a 1H AVWAP all land within 0.08% of each other at the same price, that's a confluence of independent references measuring different things — and that *coincidence* is what produces structural significance. The star rating quantifies how much agreement is present.
This is the mashup's purpose: not to combine indicators for their own sake, but to use convergence as a filter that turns individually noisy components into a rated structural signal.
---
## How to use the indicator
**Step 1: Apply to any chart timeframe.** All settings have sensible defaults. The asset-class preset (NSE Index Futures, NSE Stock, US Future, US ETF, US Stock, Commodity, Crypto, or Custom) auto-adjusts cluster tolerance and pivot defaults. Auto-selected higher timeframes scale with the chart — a 5m chart defaults to 15m/60m/240m HTFs, while a daily chart defaults to weekly/monthly HTFs.
**Step 2: Read the status panel (bottom-right).** This is the actionable summary:
- "Sup" row: nearest resolved Support below current price, with point distance
- "Res" row: nearest resolved Resistance above current price, with point distance
- "Top zone": the highest-rated zone overall
- "Data": indicator health (OK / Degraded / Critical) — if the underlying volume data is sparse, ratings are capped
**Step 3: Scan the chart for "Broken" labels.** Any zone in dashed orange with a "Broken" label is currently being violated. Watch for either recovery (border returns solid) or polarity flip confirmation (zone repaints to opposite role).
**Step 4: Find the active amber zone.** This is the current forming confluence. Look at the triangle shape: ▲ means the composition leans support, ▼ means it leans resistance, ◆ means neutral. The number next to the triangle is the star rating. A premium "★" prefix means HTF agreement is present.
**Step 5: Use the Major S/R lines as forward references.** Bold horizontal lines mark the top 2 strongest support levels below current price and top 2 strongest resistance levels above. Labels show price, stars, and distance.
**Step 6: Use the Range band as context.** The translucent aqua band marks the recent trading envelope (default last 50 bars). A narrow band means consolidation; a wide band means trending.
**Step 7: Hover any element for the full breakdown.** Every box, triangle, and line has a tooltip showing total contributors, type counts, HTF alignment, state, and history.
---
## How NOT to use the indicator
- **Do not treat the bias arrow as a trade signal.** It is a compositional description of contributors, not a directional forecast. A zone with a ▲ bias can still resolve as resistance.
- **Do not treat a "Broken" label as a trade trigger.** It tells you a known level is failing — not that you should enter a position in either direction.
- **Do not assume higher stars mean higher profit probability.** Stars measure the diversity and density of contributors, not historical performance or expected return.
- **Do not rely on it for low-volume instruments.** If the data-health badge shows "Degraded" or "Critical," the engine has capped ratings and may suppress zones entirely. This is a feature; the indicator is most accurate on liquid, volume-rich instruments (index futures, large-cap stocks, major crypto).
---
## How to read the star rating
Stars are a descriptive summary of confluence quality. They are not a probability of profit.
- 1 to 2 stars: minimum cluster; one or two source types. Background context.
- 3 stars: at least 5 contributors with 2 or more source types. Recurring intraday levels.
- 4 stars: at least 7 contributors with 3 or more source types, OR 3-star with HTF agreement.
- 5 stars: at least 10 contributors with all 4 source types present. Often boosted by HTF alignment.
By default, only 4-star and 5-star zones get triangle markers and qualify for Top-N or Major S/R lines. This is adjustable.
---
## Visual primitives
- **Confluence zones** — colored boxes marking each cluster. Boxes recolor as zones resolve. Border style indicates compromised state.
- **Triangle markers** — ▲ ▼ ◆ at each formation bar. Shape encodes direction. Color encodes lifecycle state.
- **Top-N S/R lines** — top 4 resolved zones by strength and recency project forward.
- **HTF confluence bands** — semi-transparent bands per higher timeframe (cyan, purple, orange).
- **Major S/R lines** — bold lines for top 2 supports below and top 2 resistances above current price.
- **Range band** — translucent band marking recent trading range with HI / LO labels.
- **Current price line** — thin dotted line at current price.
- **Status panel** — bottom-right summary.
---
## Technical notes
- Pine Script v6
- Non-repainting: all `request.security` calls use `barmerge.lookahead_off`
- Asset-class presets adjust cluster tolerance and pivot defaults
- Built-in data-integrity layer caps ratings when volume data is sparse or stale
- Seven alert conditions: new zone formed, high-quality (4 to 5 star) zone, HTF aligned, price entered support, price entered resistance, data health degraded, polarity flip
---
## Important risk disclosure
This indicator is provided for educational and informational purposes only and is not financial advice. Trading and investing involve substantial risk of loss, including the possible loss of all invested capital. The zones, ratings, bias shapes, and lines are descriptive summaries of structural confluence — they are not predictions of future price movement, indications of profitability, win rate, or expected return.
No backtested or hypothetical performance is claimed or implied. Past zones identified by the indicator are not indicative of future results.
You are solely responsible for any decisions you make. Consult a qualified, licensed financial advisor before trading. Past performance does not guarantee future results.
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Elaris Volume Intelligence ProElaris Volume Intelligence Pro is a professional-grade volume analysis and smart money intelligence indicator designed to help traders understand market participation, hidden pressure, and potential reversal activity in real time.
Instead of displaying raw volume alone, Elaris Volume Intelligence Pro transforms market volume into actionable intelligence by combining relative volume analysis, volume delta estimation, CVD (Cumulative Volume Delta), absorption detection, climax activity, and smart flow momentum into a single clean and trader-friendly system.
The indicator is built for discretionary traders, scalpers, intraday traders, swing traders, and crypto traders who want deeper insight into market behavior beyond standard candles.
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FEATURES
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• Smart Volume Columns
Dynamically colored volume bars help identify bullish pressure, bearish pressure, climax activity, and absorption zones instantly.
• Relative Volume & Z-Score Engine
Detects abnormal market participation using relative volume and statistical volume expansion analysis.
• Volume Flow Momentum
A smoothed institutional-style flow model that helps traders identify whether aggressive buying or selling pressure is dominating the market.
• Bullish & Bearish Climax Detection
Highlights potential exhaustion candles during extreme participation and volatility conditions.
• Demand & Supply Absorption Detection
Detects high-volume compression behavior that may indicate hidden accumulation or distribution by larger participants.
• Volume & CVD Divergence Signals
Identifies possible reversal conditions when price action and cumulative volume behavior diverge.
• Smart Market State Dashboard
A clean built-in intelligence panel provides:
* Market bias
* Smart score
* Relative volume strength
* Volume Z-score
* Delta pressure
* Active signal state
• Dark Mode Optimized UI
Professionally designed visuals optimized for both dark and light TradingView themes.
• Fully Configurable
All thresholds, smoothing values, divergence sensitivity, and visual layers can be customized for different trading styles and markets.
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HOW TO USE
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• Strong Bullish Conditions
Look for:
* Bullish volume climax
* Positive flow momentum
* Increasing relative volume
* Bullish divergences
* Demand absorption
• Strong Bearish Conditions
Look for:
* Bearish climax candles
* Negative flow momentum
* High sell-side pressure
* Bearish divergences
* Supply absorption
• Best Use Cases
* Crypto futures trading
* Intraday momentum trading
* Breakout confirmation
* Reversal detection
* Smart money analysis
* Volume-based confluence systems
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ALERTS INCLUDED
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The indicator includes built-in alerts for:
* Bullish/Bearish Volume Climax
* Demand/Supply Absorption
* Bullish/Bearish Divergence
* Bullish/Bearish Pressure States
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IMPORTANT NOTES
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• This indicator does not use repainting logic.
• Signals are generated using confirmed candle data.
• Works best on liquid markets with reliable volume data.
• Designed for confirmation and confluence, not standalone financial advice.
Built by Elaris Group.
Financial intelligence for modern markets.
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Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model.
The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior.
It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score.
This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context.
Key Features
Non-repainting confirmed buy/sell signals
EMA-based trend engine with adjustable strictness
RSI and MACD momentum confirmation
Optional higher-timeframe trend filter
Volume and ATR volatility quality filters
Optional session filter
Signal score system from 0–100
Visual entry, stop loss, TP1, and TP2 guide levels
Clean dashboard for live market state
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MGI Walls | Rainbow MatrixGENERAL OVERVIEW
The MGI Walls is a multi-timeframe institutional liquidity radar that extracts and renders the price zones where institutional capital concentrates: Volume Profile blocks (Point of Control, Value Area High, Value Area Low), Anchored VWAPs, and Parabolic SAR levels. Instead of showing these levels for a single chart timeframe, the indicator scans up to five macro timeframes simultaneously and merges overlapping zones into a single intensified block whenever multiple timeframes agree on the same price area.
The main goal of this indicator is to give traders a clean, automatic read on where the structural barriers in the market are — without having to manually flip between timeframes, mark POCs by hand, or guess which level the next reaction will respect. Every line, box, and confluence zone you see on the chart was extracted from real volume distribution data, not drawn manually.
It plots up to four level types per timeframe (POC, VAH, VAL, VWAP, SAR), each weighted by the structural significance of its timeframe — a Weekly POC carries five times the gravitational weight of a 15-minute POC. The Wall Fusion Engine then detects when levels from different timeframes fall within a configurable percentage threshold and consolidates them into a single block. The Nearest Wall HUD panel and the institutional collision alerts complete the toolkit.
This indicator was developed for traders who already understand Volume Profile and VWAP concepts and want to see them across multiple timeframes in a single visual, with automatic confluence detection.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most Volume Profile indicators on TradingView — including the standard built-in profiles, Fixed Range Volume Profile, and the various session/visible-range derivatives — share a common architectural choice: they operate on a single timeframe. They show you the POC and Value Area for the current chart only. This treats each timeframe as an isolated decision space.
The problem: institutional flow is not isolated to one timeframe. The market makers operating on the daily horizon see different value areas than those operating on the weekly or 4-hour horizon. Their orders sit at their own POCs and Value Area boundaries. When price approaches a level that only one institutional horizon defends, the reaction is often modest. When price approaches a level that multiple horizons defend simultaneously, the reaction is structurally stronger — that confluence is where the largest pools of resting liquidity accumulate.
This indicator addresses that by performing the extraction across five user-configured timeframes simultaneously via `request.security()`, weighting each level by the gravitational significance of its parent timeframe, and then fusing levels from different timeframes that fall within a configurable margin. The math is standard Volume Profile (POC at the volume-weighted mode, VAH/VAL at the ±2.51σ boundary that approximates the 70% Value Area) — what makes it useful is doing it across five timeframes at once, with hierarchical weighting and confluence merging.
Why traders use it: each block represents an institutional decision zone. A standalone POC line from the 15-minute timeframe is a local reaction point. A POC line that simultaneously aligns with the 4-hour VAH and the daily VWAP is a multi-horizon barrier — a zone defended by three independent pools of institutional capital at once. The fusion engine makes these confluences immediately visible as thicker, more opaque blocks; the polarity of each block reflects the accumulated weight balance of the levels that compose it, not the polarity of the last level to be merged.
The three rendered components — Volume Profile zones, Anchored VWAPs, and Parabolic SAR levels — are not independent layers stacked on the same chart. They map three different aspects of institutional positioning at the same set of timeframes: where past volume concentrated (Volume Profile), where the live volume-weighted consensus price currently sits (VWAPs), and which directional trend regime each timeframe is in (SARs). The Wall Fusion Engine operates across all three layers indiscriminately — a POC from the 4-hour timeframe and a VWAP from the daily timeframe at the same price are fused into a single block, because from the perspective of institutional defense they represent the same structural barrier reinforced by two independent mechanisms. This integration is the reason the three components exist in a single script rather than as three separate indicators: the cross-layer fusion is what surfaces multi-mechanism confluence, which a separate-script approach cannot do.
MGI WALLS FEATURES
The indicator includes 6 main features:
Multi-Timeframe Volume Profile Engine
Anchored MTF VWAPs
Parabolic SAR Levels (MTF)
Wall Fusion Engine with Polarity-Balance Coloring
Nearest Wall HUD Panel
Institutional Collision Alerts
Multilingual interface and full customization across all visual layers.
MULTI-TIMEFRAME VOLUME PROFILE ENGINE
🔹 What It Does
The core of the indicator. For each of the five configured radar timeframes, the engine performs three operations:
◇ Locates the price level that received the highest traded volume in the lookback window — the Point of Control (POC).
◇ Computes the volume-weighted standard deviation of price around that POC.
◇ Builds the Value Area High (VAH) and Value Area Low (VAL) at a calibrated multiplier (±2.51σ) of that deviation, approximating the price range that contained 70% of the total volume.
The result is three institutional reference levels per timeframe — POC, VAH, VAL — extracted natively at the granularity of each timeframe rather than approximated from the current chart's data.
🔹 Method
The extraction runs via `request.security()` with `lookahead=barmerge.lookahead_off` to prevent repainting. The POC is identified as the volume-weighted mode within the lookback window. The Value Area boundaries are derived statistically from the volume-weighted variance of price around the POC, using a calibration factor (vp_k = 2.51) tuned to approximate the conventional 70% Value Area definition. Each level is plotted on the chart as a line or box at its native price location, color-coded by whether it sits above (resistance) or below (support) the current price, and weighted by the timeframe it originated from.
🔹 Hierarchical Weighting
The five timeframes are weighted by structural significance:
◇ TF1 (Micro, default 15m): weight 1 — local reaction point.
◇ TF2 (Intraday, default 1h): weight 1 — session-scale level.
◇ TF3 (Macro 1, default 4h): weight 2 — multi-session level.
◇ TF4 (Macro 2, default Daily): weight 3 — multi-day level.
◇ TF5 (Global, default Weekly): weight 5 — multi-week structural barrier.
The weight controls visual prominence (opacity, border thickness) and, when fusion occurs, the contribution of each level to the polarity balance of the resulting block.
ANCHORED MTF VWAPS
🔹 What It Does
For each of the five radar timeframes, an Anchored VWAP is extracted and rendered as a separate level. The Global VWAP — the average of all five — is also plotted, marked with a globe emoji to distinguish it from the per-timeframe VWAPs.
🔹 Method
The per-timeframe VWAP is computed via a volume-weighted moving average of hlc3 on the native bars of each timeframe, then reported back to the current chart through `request.security()`. The Global VWAP is the unweighted average of the five timeframe VWAPs that are currently available (NA values are skipped).
🔹 Why It Matters
The Volume Profile blocks tell you where past volume concentrated. The VWAPs tell you what the volume-weighted consensus price is for each horizon, updated bar by bar. Together they give a complete read on every bar: where the past institutional reference zones are (the blocks) and where the live volume-weighted average for each horizon currently sits (the VWAPs).
PARABOLIC SAR LEVELS (MTF)
🔹 What It Does
The Parabolic SAR for each of the five radar timeframes is extracted and rendered as an institutional trend-direction anchor. SAR levels are toggleable independently of the Volume Profile and VWAP layers.
🔹 Why It Matters
The SAR provides a directional trend reference per timeframe — when the Weekly SAR sits above price and the Daily SAR sits below, the structure is in conflict and the resolution of that conflict often drives the next swing. When multiple SARs align on the same side, the directional bias is structurally agreed across horizons.
WALL FUSION ENGINE WITH POLARITY-BALANCE COLORING
🔹 What It Does
When two or more levels from different timeframes fall within a configurable percentage threshold (default 0.30%), the engine fuses them into a single block. The fused block inherits the combined weight of all its components — visually thicker, more opaque, more visible than a standalone level. The label of the fused block accumulates the directional triangles of each contributing level (▲ for support, ▼ for resistance).
🔹 Polarity-Balance Coloring
The color of a fused block reflects the accumulated weight balance of its constituent levels — not the polarity of the last level to be merged. A block containing four resistance levels (▼▼▼▼) and two support levels (▲▲) will render red, because the resistance weight dominates. A block where support and resistance weights are equal uses a tiebreaker: the position of the current price relative to the block's midpoint. Price above midpoint resolves to support (green); price below resolves to resistance (red). This produces a coloring scheme that is internally consistent with the triangle labels and with the price's current location.
🔹 Customization
The Wall Merge Margin (%) input controls how aggressively levels are fused. Lower values produce many separate precise lines. Higher values produce massive consolidated institutional blocks. The default of 0.30% is calibrated for liquid instruments on intraday timeframes; for higher-volatility assets or higher timeframes, larger margins (0.50–1.00%) may produce more readable charts.
NEAREST WALL HUD PANEL
🔹 What It Shows
A compact corner panel reports four live values:
◇ RESISTANCE — the price of the nearest wall above the current price
◇ DIST. — the percentage distance from current price to that resistance
◇ SUPPORT — the price of the nearest wall below the current price
◇ DIST. — the percentage distance from current price to that support
The distances are computed against the midpoint of each fused block, so the values reflect the consolidated wall, not any single contributing level.
🔹 Why It Helps
The HUD removes the need to visually measure distances to the walls on every bar. It tells you in plain numerical form how far the nearest barriers are in each direction. Useful for stop placement, target placement, and live decision-making where the visual chart is busy with multiple levels.
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The display language is controlled by the System Language input.
snapshot
INSTITUTIONAL COLLISION ALERTS
🔹 What Triggers
Two alert types are available:
◇ VWAP Collision — fires when price crosses or touches the daily, weekly, or monthly VWAP within a 0.15% proximity band.
◇ Volume Profile Wall Hit — fires when price crosses or touches the Global POC, VAH, or VAL within the same proximity band.
🔹 How They Fire
Alerts are gated by `barstate.isconfirmed`, which means they only trigger on the close of the bar that touched the level — not intra-bar. This prevents false signals from wicks that get rejected before the bar closes. Each alert uses `alert.freq_once_per_bar`, ensuring no duplicate firings on the same candle.
🔹 alertcondition() Mode
For users who prefer the TradingView alert UI rather than the `alert()` function call, two `alertcondition` blocks are also exposed: "VWAP Collision" and "Volume Profile Wall Hit". A third dummy `alertcondition` titled "HOW TO SETUP ALERTS (READ)" provides setup guidance in the alert condition menu.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, and configuration tooltips remain in English regardless of the selected language.
For reference, the English text of all multilingual UI strings used in the HUD and alerts:
◇ (SUPPORT) / (RESISTANCE) — appended to wall labels indicating polarity
◇ RESISTANCE: / SUPPORT: — HUD row labels for nearest walls
◇ DIST.: — HUD row label for distance percentage
◇ VWAP Collision Alert: "🛡️ Price collided with Institutional VWAP. Defense zone active."
◇ Volume Profile Wall Alert: "🧱 Price hit Macro Volume Profile zone (POC/VAH/VAL). Institutional decision imminent."
HOW TO USE
This indicator is not a signal generator. It is a structural map: it tells you where the institutional barriers are, how strong each one is (by weight and fusion), and how far the nearest one is in each direction.
🔹 Reading the Walls
◇ Each line or block on the chart marks an institutional decision zone.
◇ The triangles in the label (▲ or ▼) and their count indicate the polarity and weight of the level.
◇ Walls with multiple triangles in the same direction are stronger reaction points than single-triangle walls.
◇ A block with mixed triangles is a fused confluence — the color shows which side dominates by weight.
🔹 Reading the HUD
◇ The HUD reports the nearest resistance above and nearest support below the current price.
◇ The percentage distances help size stops and targets against the structural barriers rather than against arbitrary fixed values.
🔹 Tactical Reading
◇ Price approaching a heavy multi-triangle wall: zone of elevated structural significance, where multiple institutional horizons coincide.
◇ Price sitting between two close walls of opposite polarity: ranging structure, defined by two opposing barriers of comparable weight.
◇ Price breaking through a heavy wall on confirmed close: structural shift. The wall often inverts polarity on subsequent retests.
◇ VWAP collision alerts: useful as a contextual reference for mean-reversion or trend-continuation analysis.
🔹 Multi-Timeframe Reading
◇ On lower timeframes (1m, 5m, 15m), configure shorter radar timeframes to track intraday institutional flow.
◇ On higher timeframes (1h, 4h, daily), keep the default 15m/1h/4h/D/W configuration to read multi-day and multi-week structural zones.
◇ The Global VWAP and Global POC (marked with 🌎) represent the consensus across all five timeframes — the most structurally significant single reference.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 Radar Timeframes (TF1 to TF5)
Configure each of the five macro periods to scan. Defaults: 15m, 1h, 4h, Daily, Weekly. The shortest timeframe carries weight 1; the longest carries weight 5.
🔹 Show MTF VWAPs (Radar)
Toggle for the Volume-Weighted Average Price extracted from each radar timeframe.
🔹 Show POC Lines
Toggle for the Point of Control lines — the price level with the highest traded volume in each timeframe.
🔹 Show VA Boxes (VAH / VAL)
Toggle for the Value Area High and Value Area Low — the upper and lower boundaries of the 70% volume zone.
🔹 Show SAR Levels
Toggle for the Parabolic SAR levels from each timeframe.
🔹 Fuse Overlapping Walls
Toggle for the confluence merging engine. When enabled, levels from different timeframes that fall within the Wall Merge Margin are consolidated into a single intensified block.
🔹 Wall Merge Margin (%)
Distance threshold to fuse nearby walls. Range 0.01–3.00, default 0.30. Lower values produce separate precise lines; higher values produce consolidated institutional blocks.
🔹 Show Nearest Wall Panel
Toggle for the corner HUD reporting nearest resistance, nearest support, and the percentage distances.
🔹 Panel Position
Position of the HUD on the chart. Four corners available: Top Right (default), Top Left, Bottom Right, Bottom Left.
🔹 Font Size
HUD font size. Options: Tiny, Small (default), Normal, Large, Huge.
🔹 VWAP Collision Alert
Toggle for the alert that fires when price collides with the daily, weekly, or monthly VWAP.
🔹 Volume Profile Wall Alert (POC/VAH/VAL)
Toggle for the alert that fires when price touches the Global POC, VAH, or VAL.
IMPORTANT NOTES
The MGI Walls works on any timeframe. The default radar configuration (15m/1h/4h/D/W) is calibrated for intraday and swing trading on liquid instruments. For position trading or scalping, the radar timeframes can be reconfigured to scan longer or shorter horizons respectively.
The indicator works best on instruments with reliable volume data: crypto perpetual contracts, large-cap equities, futures, major forex pairs. On low-volume instruments, the Volume Profile component becomes less reliable, though the VWAP and SAR components continue to function correctly.
Alerts fire once per confirmed bar. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Value Area calibration factor (vp_k = 2.51) is tuned to approximate the conventional 70% Value Area definition under volume-weighted standard deviation. It is a calibration constant derived from observation rather than an arbitrary choice.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MGI Walls is unique in three ways. First, it performs the Volume Profile, VWAP, and SAR extraction across five timeframes simultaneously rather than on the current chart only, surfacing the institutional reference zones that multiple time horizons agree on rather than only those visible on the active timeframe. Second, it weights each level by the structural significance of its parent timeframe — a Weekly POC carries five times the gravitational weight of a 15-minute POC — and the Wall Fusion Engine consolidates levels from different timeframes that fall within a configurable margin into a single intensified block, making multi-horizon confluence zones immediately visible as visually thicker walls. Third, the fused-block coloring reflects the accumulated weight balance of all constituent levels rather than the polarity of the last level to be merged, producing a visual scheme that is internally consistent with the triangle labels (▲ for support, ▼ for resistance) and with the price's current position relative to the block. The combination of multi-timeframe simultaneous extraction, hierarchical weighting with automatic confluence fusion, and balance-driven block coloring produces a structural map that behaves differently from single-timeframe Volume Profile indicators, particularly at price zones where multiple institutional horizons converge and where the strongest reactions tend to occur.
PUBLICATION METADATA (handoff to operator — not part of description)
Title: MGI Walls | Rainbow Matrix
Visibility: Open-source / Public
Category suggestion: Volume-based (primary) — TradingView's category for Volume Profile / volume-driven indicators
Tag suggestions (TV allows up to 10; pick the 9 most relevant):
- volume-profile
- poc
- value-area
- vwap
- multi-timeframe
- mtf
- confluence
- institutional
- support-resistance
- parabolic-sar (optional, swap for one above if SAR is a key selling point)
License declaration: Mozilla Public License 2.0 (already in script header)
Screenshot slots in the description (5 "snapshot" placeholders):
1. After GENERAL OVERVIEW — wide chart showing the indicator running on BTC or major instrument, with walls visible across multiple TFs
2. After Multi-Timeframe Volume Profile Engine section — chart annotated with POC/VAH/VAL lines from different TFs
3. After Wall Fusion Engine section — close-up of a fused confluence block with mixed triangles (▲▼) and the polarity-balance color clearly visible
4. After Nearest Wall HUD Panel section — HUD close-up showing the 5-row layout with real values
5. (Optional, swap into one of the above slots) — Black Swan-style touch event showing a collision alert firing
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Cumulative Volume DeltaCumDelta — Cumulative Volume Delta with Session Reset
A clean cumulative volume delta (CVD) indicator that visualizes the running balance of buying vs. selling aggression using lower-timeframe up/down volume. Designed for intraday traders who want to read order flow alongside price.
What it does
Each bar's delta is calculated by pulling lower-timeframe volume data and classifying it as buying or selling pressure based on whether each sub-bar closed up or down. These per-bar deltas are then cumulated into a running total that resets on your chosen schedule (day, session, week, month, year, or N bars back).
The cumulative delta is rendered as candles — each candle's open chains from the previous close, and the body shows whether net flow on that bar was positive or negative. A histogram below shows the raw per-bar delta for quick reference.
How to read it
Rising green candles — sustained buying pressure
Falling red candles — sustained selling pressure
Divergence vs. price — price makes a new high but CVD doesn't (or vice versa) often precedes reversals
Reset bars (optional yellow highlight) — fresh session start, useful for marking where the cumulation restarts
Settings
Reset Period — Day, Session (RTH-aware), Week, Month, Year, or Bars Back
Lower Timeframe — auto-selects based on chart TF, or set manually for finer/coarser resolution
Doji Handling — choose how to attribute volume when a bar closes flat (Split 50/50, Up, Down, or Skip)
Display toggles — bar delta histogram, cumulative candles, reset markers 指标
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Enhanced VolumeEnhanced Volume (EV)
A comprehensive volume analysis tool designed to give traders a complete picture of buying and selling activity at a glance.
Key Features:
Relative Volume Colour Coding
Bars are automatically colour-coded based on volume significance — high relative volume bars stand out immediately, while low relative volume bars are flagged to help you avoid low-conviction moves.
Smart Labels
Automatically labels notable volume events directly on the chart:
High relative volume bars (2× average and above)
Highest volume in the past year (HV1Y)
Highest volume ever recorded for the instrument (★ HVE)
All labels display the raw volume figure and the percentage above average so you can assess conviction instantly.
Projected Volume
During the trading session, a projected end-of-day volume bar is calculated based on the current rate of flow. A projected run-rate percentage tells you whether today is on track to be a high or low volume day before the session closes.
2× and 3× Average Lines
Visual reference lines show exactly where 2× and 3× average volume sit, making it easy to gauge how significant the current bar really is.
Up/Down Volume Ratio
Tracks cumulative buying versus selling volume over a configurable lookback period, giving you a directional bias reading based on actual volume flow rather than price alone.
Summary Table
A clean on-chart table displays all key metrics in one place — current volume, average volume, average dollar volume, up/down ratio, relative volume percentage, projected volume, and volume ratio.
Inputs:
SMA length for average volume calculation
High and low relative volume thresholds
1-year lookback period for HV1Y detection
Up/Down volume lookback period
Toggle projected volume bar and 2×/3× lines on or off
Full colour customisation for all bar states
Built for momentum and breakout traders who use volume as a primary confirmation tool. 指标
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AVDO + Proporcion de volumen SR by TraderDeConfianzaEste es un indicador todo-en-uno que combina dos sistemas complementarios para detectar zonas de interés institucional y dirección de tendencia. Es una herramienta de análisis basada en lectura de volumen real, por lo que su efectividad depende directamente de la calidad y autenticidad de los datos de volumen del activo que analizas.
Importante: dónde funciona y dónde no
El motor principal del indicador es el volumen real (transacciones efectivamente ejecutadas en un exchange centralizado). Por eso, su rendimiento varía dramáticamente según el tipo de activo:
Activos recomendados (volumen real y confiable):
Futuros de CME Group: especialmente los futuros de índices americanos como MNQ, NQ, ES, MES, YM, MYM, RTY, M2K. También funciona bien en futuros de commodities (CL, GC, SI, NG) y de bonos (ZN, ZB, ZF). El volumen de CME es centralizado y refleja transacciones reales.
Criptomonedas (preferentemente Binance): BTC, ETH, SOL y altcoins principales. Binance concentra el mayor volumen real del mercado cripto spot y de perpetuos. Otros exchanges grandes como Bybit, OKX o Coinbase también funcionan bien. Evita exchanges menores con volumen inflado.
Acciones directas (NYSE, NASDAQ, ARCA, AMEX): AAPL, TSLA, NVDA, SPY, QQQ y cualquier acción de alta liquidez listada en exchanges americanos primarios. El volumen es transparente y auditable.
No recomendado:
CFDs (Contracts for Difference): el volumen mostrado en CFDs es sintético, derivado del proveedor del broker, y no representa transacciones reales del mercado subyacente. El indicador perderá fiabilidad porque sus señales se basarán en datos artificiales.
Forex spot retail: el mercado forex no es centralizado, no existe un volumen "real" verificable. Lo que se muestra como volumen suele ser tick count del broker, no contratos negociados.
Mercados ilíquidos o de bajo volumen: acciones penny, criptos con poca capitalización, instrumentos exóticos. El ruido en los datos hace que las señales no sean confiables.
¿Qué hace el indicador?
Combina dos motores independientes que trabajan en armonía:
Motor 1 — AVDO (Anchored Value Distribution Oscillator): un sistema avanzado de distribución de valor anclada. Construye un perfil de volumen dinámico, identifica las zonas de valor (donde se ha negociado la mayor parte del volumen) y deriva una línea de tendencia adaptativa (trailing) que se mueve con el precio. Además, colorea las velas según el "estado" del mercado: alcista, bajista o neutral. Cuando detecta velas con volumen crítico histórico, las pinta de amarillo como advertencia de actividad institucional excepcional.
Motor 2 — VolProp SR (Volumen Proporcional Soporte/Resistencia): detecta velas donde el volumen actual supera al de la vela anterior en una proporción configurable. Marca esa vela con una caja que cubre todo su rango (high-low) y la proyecta hacia la derecha como zona activa de soporte o resistencia. La caja se mantiene viva hasta que el precio cierre atravesándola — momento en que se considera "mitigada" y se vuelve gris.
Cuando ambos motores se alinean, tienes confluencia institucional: precisamente las zonas donde los grandes operadores están dejando huella.
Filosofía de configuración
La mayoría del indicador viene listo para usar tal como está. Los componentes de AVDO y Volumen Crítico están afinados con parámetros robustos que funcionan bien en la mayoría de activos sin necesidad de ajuste. Déjalos en sus valores por defecto a menos que tengas una razón muy específica para tocarlos.
El verdadero trabajo de calibración está en el Motor 2 (VolProp SR), específicamente en dos parámetros: la proporción de volumen y el multiplicador ATR. Estos dos son los que adaptas a cada activo y timeframe que operes. El objetivo es encontrar el balance donde el indicador te marca solo las zonas verdaderamente institucionales, sin saturar el gráfico con ruido ni dejar pasar señales válidas.
Cómo calibrar VolProp para cada activo
Proceso recomendado:
Carga el indicador en el activo y timeframe que vas a operar. Déjalo en valores default (proporción 1.5, ATR multiplicador 1.0).
Observa 30 a 50 señales históricas sin tocar nada. Anota cuántas cajas aparecen por sesión y cuántas funcionaron realmente como S/R cuando el precio regresó a tocarlas.
Si aparecen demasiadas cajas y muchas no funcionan (gráfico saturado, señales ruidosas):
Sube la proporción de volumen en pasos de 0.2 (de 1.5 → 1.7 → 2.0).
Sube el multiplicador ATR en pasos de 0.2 (de 1.0 → 1.2 → 1.5).
Repite la observación.
Si aparecen muy pocas cajas (gráfico vacío, te pierdes movimientos importantes):
Baja la proporción de volumen en pasos de 0.1 (de 1.5 → 1.4 → 1.3).
Baja el multiplicador ATR (de 1.0 → 0.8).
O desactiva temporalmente el filtro ATR para diagnosticar dónde se está bloqueando.
Repite hasta que cada sesión te entregue entre 3 y 8 cajas activas de calidad — suficientes para tener oportunidades, no tantas que ensucien el análisis.
Y ajusta también según timeframe: timeframes bajos (1m–5m) toleran proporciones más bajas, timeframes altos (1H+) requieren proporciones más altas para que la señal sea significativa.
Parámetros del indicador
Grupo AVDO • Core (déjalo como está)
Lookback (default 233): número de barras usadas para construir la distribución de volumen. Solo bájalo si quieres reactividad extrema en scalping, o súbelo para contextos macro.
Canvas Pad (default 0.03) y Rebuild Drift (default 0.2): afinan internamente cómo se construye el perfil. No los toques sin razón específica.
Grupo AVDO • Signal (déjalo como está)
Signal Line Length (default 50): línea de señal interna del oscilador. Bájalo solo si quieres cruces más rápidos para scalping agresivo.
Grupo AVDO • Trend Logic (déjalo como está)
Show Trail on Chart, Fill, Profile Center Bias, Trail Acceleration, Max Trail Acceleration: todos vienen optimizados. Solo modifica si entiendes el efecto exacto que buscas — por ejemplo, subir Trail Acceleration si quieres un trailing más agresivo en mercados de alta volatilidad.
Grupo AVDO • Display
Show Reversal Marks (default OFF): actívalo si quieres diamantes de reversión visuales. Útil para alertas tempranas de techo/piso.
Trend Candlesticks (default ON): si lo desactivas, las velas se ven con su color real verde/rojo nativo. Recomendado dejar ON.
Grupo AVDO • Colors (estética)
Personaliza los colores a tu gusto. El amarillo del Volumen Crítico tiene prioridad sobre los demás, así que recuerda que ese color destaca lo más relevante.
Grupo AVDO • Volumen Crítico (déjalo como está)
Lookback Volumen (89), Suavizado Volumen (21), Umbral Crítico (0.618 — ratio áureo): los defaults están finamente calibrados con principios de teoría de mercado clásica. Solo súbelos si tu activo es muy ruidoso y aparecen demasiadas velas amarillas, o bájalos si casi nunca aparecen.
Grupo VolProp • Detección (★ AJUSTE PRINCIPAL)
Proporción de volumen (default 1.5): el parámetro más importante del indicador. Define cuánto debe crecer el volumen de la vela actual respecto a la anterior para disparar una caja.
Este es uno de los dos parámetros que debes calibrar para cada activo. Sigue el proceso descrito arriba.
Grupo VolProp • Filtro ATR (★ AJUSTE PRINCIPAL)
Activar filtro ATR (default ON): mantenlo activado, descarta velas pequeñas que tuvieron volumen alto pero no movieron precio.
Período ATR (default 14): estándar técnico, no necesita ajuste.
Multiplicador ATR (default 1.0): el segundo parámetro a calibrar por activo. Define qué tan grande debe ser la vela respecto a la volatilidad promedio reciente. Ajústalo según el proceso de calibración descrito.
Grupo VolProp • Filtro Cuerpo
Activar filtro cuerpo dominante (default ON): descarta dojis y velas indecisas. Mantenlo ON.
% mínimo del cuerpo (default 60%): ajusta solo si notas que se cuelan velas con mucha mecha y cuerpo chico. Súbelo a 70-75% para mayor exigencia.
Grupo VolProp • Cajas S/R
Modo extensión (default Dinámica): déjalo en Dinámica para que las cajas se proyecten hasta que el precio las rompa. Cambia a "Fija" solo si quieres que duren un número específico de barras.
Mostrar cajas mitigadas (default ON): las cajas rotas quedan en gris como contexto histórico. Desactívalo si quieres el gráfico más limpio sin contexto previo.
Colores y ancho de borde: estética pura.
Grupo VolProp • Etiqueta
Mostrar etiqueta con ratio (default ON): muestra el "2.3x" debajo de la vela marcada para que veas qué tan fuerte fue la señal.
Tamaño y color de texto: ajustes visuales.
Ejemplo de uso paso a paso
Imagina que abres el chart de MNQ a las 8:30 AM CST (apertura de NYSE). El indicador ya está calibrado para este activo (proporción 1.8, ATR multiplicador 1.1 después de tu proceso de prueba).
Paso 1 — Lectura del contexto general (AVDO):
A las 8:30 ves que las velas vienen pintadas de verde intenso y el trailing line está claramente por debajo del precio. AVDO confirma tendencia alcista, el precio está aceptado en la zona alta del perfil de valor. No operas en contra de esto. Tu sesgo es alcista.
Paso 2 — Aparece una caja VolProp:
A las 9:15 AM, una vela explota de volumen y cumple los filtros. Aparece una caja verde semitransparente cubriendo todo su rango con etiqueta "2.4x" abajo. Significa que esa vela tuvo 2.4 veces el volumen de la anterior y pasó los filtros. Esta es tu zona de entrada potencial.
Paso 3 — Confluencia élite:
A las 9:45 AM, otra vela alcista. Esta vez la vela aparece pintada en amarillo (Volumen Crítico AVDO) y se le dibuja una caja verde de VolProp con etiqueta "3.1x". Setup A+: confluencia triple — volumen crítico histórico, ratio proporcional, y tendencia AVDO alineada.
Paso 4 — Espera el pullback:
No entras al breakout. Esperas a que el precio se aleje y regrese a tocar la caja. A las 10:20 AM, el precio retrocede y entra dentro de la caja amarilla. Esta es la señal de entrada.
Paso 5 — Entrada, stop y target:
Long con stop justo por debajo del low de la caja (extremo inferior, no el cuerpo). Target en el siguiente nivel claro: otra caja superior, una zona AVDO de resistencia, o un múltiplo de R según tu plan.
Paso 6 — Gestión:
Si el precio sigue subiendo: ¿aparece otra caja verde más arriba? → toma parcial o trail. ¿La trail de AVDO se voltea a bajista? → cierre. ¿Una caja gris previa ahora actúa como resistencia? → cuida la posición.
Reglas de oro
El AVDO da contexto, VolProp SR da zonas. No operes una caja contra el contexto. Caja verde con AVDO bajista → mejor pásala.
Vela amarilla + caja del mismo color = setup A+. Estas son las raras y valiosas. Espéralas con paciencia.
La caja gris no es zona activa. Es referencia histórica. Si el precio regresa a una caja gris y reacciona, considera el principio de polaridad (soporte roto = posible resistencia).
Operación de retorno, no de breakout. El indicador marca dónde estuvieron los institucionales. Operas el pullback a la zona, no el breakout inicial.
Calibración por activo. Lo que funciona en MNQ no funciona idéntico en BTC, ni en NVDA, ni en cada timeframe. Dedica tiempo al proceso de ajuste de proporción y ATR antes de operar en vivo.
Activa las alertas de confluencia. En la lista de alertas hay tres claves: "VolProp + Volumen Crítico", "VolProp + AVDO Bull Stack" y "VolProp + AVDO Bear Stack". Activa esas como push — son las que realmente vale la pena mirar.
Cuándo NO operarlo
Aperturas con gap brutal (primeros 5–10 minutos en días de noticia macro): el indicador necesita unas pocas velas para estabilizar el perfil.
Activos con volumen sintético o no confiable (CFDs, forex retail, mercados ilíquidos).
Cuando el contexto AVDO es plano (trailing cerca del precio, oscilador cerca de cero): el mercado está en consolidación, las cajas son menos confiables.
Sin calibración previa al activo: si lo cargas en un instrumento nuevo y operas con defaults sin observar primero, vas a ciegas.
Resumen ejecutivo
Tienes un sistema que mapea las zonas donde los institucionales dejaron huella (cajas verdes/rojas), te dice cuándo esas zonas son especialmente significativas (vela amarilla), te da la dirección de la corriente principal (trailing AVDO), y te avisa cuando todo se alinea (alertas de confluencia).
La estructura del indicador está prácticamente lista de fábrica — la parte de AVDO y Volumen Crítico viene optimizada. Tu trabajo de calibración se concentra en dos parámetros del Motor 2 (VolProp): proporción de volumen y multiplicador ATR. Ajústalos para cada activo hasta que las cajas sean significativas y proporcionadas a la sesión, y el indicador se vuelve una extensión natural de tu análisis.
Recuerda siempre: este indicador es tan bueno como el volumen real del activo que analizas. Úsalo en mercados centralizados con datos auténticos, y rendirá. Evita los mercados con volumen sintético, ahí no tiene cómo brillar. 指标
