Bullish Volume RatioBullish Volume Ratio (BVR) Indicator
The Bullish Volume Ratio (BVR) is a sophisticated momentum oscillator designed to measure the true intensity of buying pressure versus selling pressure in the market. It provides a unique, statistically-driven view of market conviction, making it an essential tool for traders who seek to confirm trend health and anticipate major shifts.
BVR achieves its precision by not only assessing net volume but also using proprietary volume weighting logic to gauge the quality of participation in each candle, filtering out market noise to present a clear picture of underlying demand.
Key Features
Statistically-Driven Conviction: The indicator utilizes a Z-Score to measure how far the current BVR reading deviates from its historical average, providing an objective measure of whether buying or selling is truly exceptional or just noise.
Clear Visual Signals: The oscillator plot is designed for clear interpretation on a separate pane, helping you identify regime shifts without cluttering the main price chart.
Real-Time Data Dashboard (Optional): A customizable table on the chart displays the current BVR, Z-score, and other critical volume metrics at a glance.
Simplified Trading Guide
The BVR indicator simplifies volume analysis into clear, actionable signals that can be used for trend confirmation and reversal anticipation.
1. Trend Confirmation
Use the BVR to confirm the momentum of an existing trend:
Bullish Confirmation: When price is trending up, look for the BVR line to be rising and consistently above the center line. This signals that buyers are in firm control and the uptrend has strong volume conviction.
Bearish Confirmation: When price is trending down, look for the BVR line to be falling and deep below the center line. This indicates sellers are dominating the volume profile, confirming the strength of the downtrend.
2. Identifying Trade Entry/Exit Zones
The indicator's Z-Score component is key to spotting extremes that often precede a reversal:
Potential Long Entry: Look for a sustained negative Z-Score followed by a sharp crossover back towards the center line or into positive territory. This can signal that selling pressure has reached an exhaustion point and accumulation (buying) is beginning.
Potential Short Entry: Look for a sustained positive Z-Score followed by a sharp crossover back towards the center line or into negative territory. This suggests that buying momentum is exhausted and distribution (selling) is commencing.
3. The Volume Spike Filter
The indicator also alerts you to candles with significantly high volume relative to the recent average. Use this as a filter:
Breakout Validation: A price breakout is more likely to be legitimate if it is accompanied by a high volume spike confirmed by a strong BVR reading in the direction of the breakout.
Reversal Warning: A high volume spike at a key support or resistance level, particularly one that leads to a sharp turn in the BVR, can strongly signal a climactic reversal in progress.
Volume
Crypto Liquidation Zones & Order Clusters This PineScript v6 indicator was specifically designed for crypto traders and displays estimated liquidation zones as well as probable order clusters on the chart. Since TradingView has no direct access to real order book data, stop-loss positions, or internal exchange liquidation levels, the indicator works with intelligent estimations based on historical volume data and market behavior.
The indicator identifies three main types of critical price zones: First, it marks psychological levels – round numbers like $100,000 or $50,000, where limit orders typically accumulate. Second, it highlights high-volume zones, areas with unusually high trading volume that indicate many traders have opened positions there. Third, the indicator calculates estimated liquidation zones for long and short positions by assuming typical leverage levels (default 10x) and projecting the probable liquidation prices.
The mechanism is based on analyzing volume spikes combined with volatility: When a strong price increase occurs with high volume, the indicator stores this level as a probable long-entry point and calculates the corresponding liquidation zone below the current price. During price declines with high volume, short positions are tracked and their liquidation zones are drawn above the price. Red zones mark long liquidations, green zones mark short liquidations, blue boxes show high-volume areas, and yellow dashed lines indicate psychological levels.
All settings are fully customizable: You can adjust the lookback period (default 100 bars), sensitivity for volume spikes, assumed average leverage, and toggle individual display elements. An info panel in the top-right corner shows you live how many long and short entry levels are currently being tracked and how current volume compares to the average. It's important to understand that all displayed zones are estimates – the indicator cannot see actual orders from other traders, but it provides valuable insights into areas where many positions are likely at risk and liquidation cascades could occur.
FluxPulse Beacon## FluxPulse Beacon
FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders.
HOW IT WORKS
Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints.
Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align.
Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions.
Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones.
HOW TO USE IT
Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives.
Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers.
Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down.
VISUAL FEATURES
Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant.
Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference.
Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter.
PARAMETERS
Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation.
Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes.
Volatility Window (default: 21): Sample window for realized volatility normalization.
Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion.
Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows.
Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets.
Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse.
ALERTS
The indicator includes four alert conditions:
Bull Burst: Detects upside liquidity pulses
Bear Burst: Detects downside liquidity pulses
Bull Divergence: Flags bullish delta divergence
Bear Divergence: Flags bearish delta divergence
LIMITATIONS
This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action.
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## RangeLattice Mapper
RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process.
HOW IT WORKS
Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range.
Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones.
Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions.
Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders.
VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice.
HOW TO USE IT
Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best.
Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel.
Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers.
VISUAL FEATURES
Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling.
Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break.
Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly.
Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance.
PARAMETERS
Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks).
Structure Lookback (default: 60): Bars sampled on the structure timeframe.
Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance.
Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout.
ATR Reference (default: 14): ATR period for width normalization.
Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels.
Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most.
Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control.
Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions.
ALERTS
The indicator includes five alert conditions:
Range High Tap: Price interacted with the RangeLattice high
Range Low Tap: Price interacted with the RangeLattice low
Range Mid Tap: Price interacted with the RangeLattice mid
Range Break Up: Confirmed upside breakout
Range Break Down: Confirmed downside breakout
LIMITATIONS
This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles.
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VPOCS ZScoreAn indicator Showing Candle POC's.
Added a Zscore Filter to filter out the High volume candle's.
I like to use at Key Support and resistance Area's to see Absorbtion and Offside positions only on High volume Candles ( The high volume candle part is Key! ). Thoose candles Generally indicate forced participants opening or closing positions, or "Breakout traders entering" positions. When i see a Hi-Volume at S/R levels and price is rejecting ( trading away from the POC ) ill take that as a trigger for a trade.
- Dynamic Support and resistance.
- Show Offside and and Trapped traders
You can tweak the Zscore nominator for Less of more Frequent hits.
Fluxion Oscillator [Kodexius]Fluxion Oscillator is a multi dimensional momentum and flow toolkit designed to highlight exhaustion, reversals and confluence in a very compact way. The script combines a normalized trend oscillator, volume sensitive money movement, a volatility gauge and a visual confluence gauge that all sit in a single pane.
Instead of focusing on a single signal, Fluxion looks at the interaction between price, momentum and volume. The core oscillator tracks the relationship between a fast and a slow response of price, then rescales it into a stable 0 to 100 band. A companion flow line tracks how actively price is being supported or pressured by volume. On top of that, a volatility based gauge and an overbought or oversold reversal layer help highlight when moves are stretched and vulnerable.
The result is an environment where you can quickly see:
-When momentum is expanding or fading
-When price swings are supported or rejected by volume
-Where local tops or bottoms can be forming through divergence
-How strong the current push is in the context of recent volatility
-A compact gauge that visually ranks the current state from “minimum” to “maximum” pressure
It is not a trading system by itself, but a framework that makes it much easier to build rules and confluence around your own strategy.
⭐ Features
Normalized Fluxion Oscillator
Core oscillator built from the difference between a fast and a slow smoothing of the chosen source.
Automatically normalized into a bounded range so it behaves consistently across symbols and timeframes.
Dual line structure: the main line and a signal line, making crossovers easy to read.
Dynamic fill that shifts color depending on whether the main line is above or below the signal line.
Bullish and Bearish Crosses
Visual circles highlighting when the main oscillator crosses its signal line upward or downward.
Bullish crosses emphasize potential momentum ignition after downside pressure.
Bearish crosses emphasize potential cooling of momentum after upside pressure.
Money Flow Layer
Separate line that blends price and volume over a configurable lookback.
Smoothed to reduce noise and plotted around a central balance level.
Colored region that clearly shows whether buying pressure or selling pressure dominates.
Divergence Detection Suite
Automatic detection of regular bullish and regular bearish divergences between price and the normalized oscillator.
Optional hidden bullish and hidden bearish divergences for continuation setups.
Uses pivot based swing points so the lines attach to meaningful highs and lows instead of random wiggles.
All divergence types can be toggled independently so you can keep the chart as clean as you like.
Volatility and Positioning Gauge
A compact gauge that evaluates where the current price sits relative to a volume weighted average and its recent typical fluctuation.
Colors shift as price moves from neutral to stretched zones in either direction.
Background highlighting above and below the oscillator scale to reflect when this gauge is in an extreme region.
Helps quickly see whether you are buying into strength after a large extension or stepping in near value.
Reversal Signals With Volume Confirmation
A higher time sensitivity reversal metric based on a 0 to 100 scale of recent price changes.
Signals are only highlighted when there is also a short burst in volume, so quiet market noise is reduced.
Bearish reversal markers appear in the upper region, bullish markers in the lower region, giving a clear visual “top” and “bottom” feel.
Confluence Gauge
Right side grid composed of horizontal bands, from “Min” at the bottom to “Max” at the top.
Each band reflects a segment of a smoothed, range based momentum reading that tracks how far price has advanced within its recent 0 to 100 window.
The currently active band is highlighted in green for bullish momentum or red for bearish momentum, depending on the relationship between fast and slow lines within that range.
A pointer and labels make it obvious where the current environment sits relative to the full range of possible conditions.
Divergence Core
Users can define the pivot length to control how strict and how far apart swing points should be.
High Customization
Adjustable lookback lengths for the core oscillator, signal smoothing and normalization.
Separate controls for money flow length and smoothing.
Optional toggles for each divergence type so you can focus only on the structures you care about.
⭐ Calculations
This section explains conceptually how Fluxion works without exposing the full underlying formula details. The goal is to help you understand what each component represents and how it behaves, so you can use it more effectively.
Fluxion Oscillator Core
The foundation of the indicator is the difference between two smoothed versions of the selected price source. One reacts more quickly to new price information, the other reacts more slowly.
When the fast curve is above the slow curve, the oscillator becomes positive, signaling that short term action is advancing faster than the background trend. When the fast curve is below the slow curve, it becomes negative, indicating short term weakness.
This raw difference is then normalized over a rolling window. The highest and lowest values in that window are used to rescale the oscillator into a 0 to 100 band. This produces a stable, comparable scale across markets and timeframes.
A secondary smoothing of the oscillator creates the signal line. The interaction between the main line and this signal is used to color the fill region and locate cross events.
Money Flow Construction
The money flow line is based on how price closes within its candle range combined with the traded volume. Up candles with strong closes and high volume contribute positively, while down candles with weak closes and high volume contribute negatively.
These contributions are aggregated over a configurable period to create a net “pressure” measure. The result represents how aggressively participants have been positioning over that window, not just whether price went up or down.
The line is then smoothed to reduce micro noise and plotted around a central balance level, here set at 50. Values above the balance zone suggest net positive pressure, values below suggest net negative pressure.
An additional internal threshold is used to detect when this pressure stays on one side of the balance area long enough to be considered an “overflow,” which helps detect sustained accumulation or distribution phases.
Volatility and Positioning Gauge
The gauge computes a volume weighted average price over a user defined period. This gives more weight to prices at which more volume was traded.
It then evaluates how far the current price is from that volume weighted center, relative to the typical price variation around it. This creates a standardized distance measure that tells you how stretched price is from its recent fair zone.
When the distance becomes significantly positive, the market is considered extended upward. When it becomes significantly negative, it is extended downward. Intermediate thresholds are used to create “warning” and “extreme” zones.
Background fills at the top and bottom of the panel change based on this standardized distance, visually indicating when the market is moving into overextended territory that often precedes mean reversion or at least slowing of the move.
Reversal Metric With Volume Filter
A separate 0 to 100 style momentum score is calculated over a mid length window. It evaluates recent gains and losses in price to produce a relative strength measure of the current move.
Upper and lower thresholds on this score are used to mark areas where price action is historically stretched to the upside or downside.
This alone would generate many signals, so a volume based filter is added. Reversal markers are only displayed when this momentum score is in an extreme area and volume has shown a short term pickup.
This combination gives more weight to reversals that occur during active trading, where trapped positions and forced unwinds are more likely.
Divergence Engine
The divergence logic scans for swing highs and swing lows in the normalized oscillator and in price. Swing points are defined by requiring a certain number of bars on both sides of the pivot, which you can configure via the divergence length input.
For regular bullish divergence:
Price makes a lower low, indicating apparent weakness.
The oscillator makes a higher low over the same general region, indicating that internal momentum is actually improving.
If both conditions are met within a valid bar distance, a bullish divergence line is drawn from the prior oscillator pivot to the new one.
For regular bearish divergence:
Price makes a higher high, suggesting continued strength.
The oscillator makes a lower high, showing that underlying momentum is waning.
The engine checks that both pivot structures appear within an allowed time frame, then draws a bearish line between the oscillator peaks.
Hidden divergences are handled in a similar way, except the direction of price and oscillator swings is reversed, which makes them suitable for trend continuation contexts instead of reversal contexts.
Confluence Gauge
The grid on the right converts a smoothed, range based momentum reading into ten equal bands. This momentum reading looks at where the current value sits between the lowest and highest readings of a recent window, then rescales it into a 0 to 100 scale.
That 0 to 100 value is divided into ten slices of ten points each. For example, 0 to 10 is the lowest band, 90 to 100 is the top band.
The algorithm then checks whether the fast component of this reading is above or below its slower companion. If fast is above slow, it is treated as bullish pressure and the active band is colored in green. If fast is below slow, it is treated as bearish pressure and the active band is colored in red.
A pointer label is placed alongside the active band and “Max” and “Min” markers are drawn above and below the grid. This creates a compact visual where you can quickly gauge if the current state is closer to the lower boundary of recent conditions or to the upper boundary, along with its directional bias.
Normalization And Scaling
Several internal components use rolling highest and lowest values to transform raw readings into normalized percentages. This includes the main oscillator and the range based momentum used by the confluence gauge.
The key idea is to express conditions relative to what has recently been possible on that instrument and timeframe instead of using absolute fixed thresholds. This makes Fluxion adaptive and more robust when switching between assets with different volatility profiles.
WSMR v3.9 — WhaleSplash → Mean Reversal
# WSMR v3.9 — WhaleSplash → Mean Reversal
*A Non-Repainting Impulse‑Reversal Engine for Systematic Futures Trading*
## Overview
WSMR v3.9 is a complete impulse → exhaustion → mean‑reversion framework designed for systematic intraday trading. It identifies high‑energy displacement events (“WhaleSplashes”), measures volatility structure, tracks VWAP deviation, and confirms reversals using RSI divergence, Z‑Score resets, SMA20 reclaim, and pivot-based structure.
All signals are non‑repainting and alerts fire on bar close.
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## Core Components
### 1. WhaleSplash (Short Impulse Event)
Triggered when a candle meets displacement conditions:
- Large bar range vs ATR
- Minimum % move
- Volume expansion
- VWAP deviation (tick-based)
- Z‑Score oversold / RSI exhaustion
- Volatility-gated
### 2. Mean Reversal Long (MR)
Requires:
- RSI bullish divergence
- Z‑Score reset
- SMA20 reclaim
- Higher-low confirmation
### 3. First-Candle Confirmation (Optional)
- MR Confirm → first green after MR
- WS Confirm → first red after WS
- TTL window configurable
### 4. Asia Session Filter
Optional restriction to:
**23:00 → 09:00 UTC**
### 5. Volatility Monitor
Detects:
- Normal
- Wicky
- Spiky
- Extreme
### 6. WS Frequency Analytics
Rolling frequency calculation across:
- Bars / Days / Weeks / Months
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## Status Panel (Top-Right)
Shows:
- Mode (Global / Asia-only)
- Timeframe + TTL
- WS frequency
- Volatility state
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## Alerts
- WhaleSplash SHORT
- WhaleSplash LONG (MR)
- MR Confirm LONG
- WS Confirm SHORT
- Volatility Warning
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## Notes
- Fully non‑repainting
- Stable bar-close logic
- Optimised for 1m–5m
- Works on futures, indices, metals, FX
Hybrid -WinCAlgo/// 🇬🇧
Hybrid - WinCAlgo is a weighted composite oscillator designed to provide a more robust and reliable signal than the standard Relative Strength Index (RSI). It integrates four different momentum and volume metrics—RSI, Money Flow Index (MFI), Scaled CCI, and VWAP-RSI—into a single 0-100 oscillator.
This powerful tool aims to filter market noise and enhance the detection of trend reversals by confirming momentum with trading volume and volume-weighted average price action.
⚪ What is this Indicator?
The Hybrid Oscillator combines:
* RSI (40% Weight): Measures fundamental price momentum.
* VWAP-RSI (40% Weight): Measures the momentum of the Volume Weighted Average Price (VWAP), providing strong volume confirmation for trend strength.
* MFI (10% Weight): Measures money flow volume, confirming momentum with liquidity.
* Scaled CCI (10% Weight): Tracks market extremes and potential trend shifts, scaled to fit the 0-100 range.
⚪ Key Features
* Composite Strength: Blends four different market factors for a multi-dimensional view of momentum.
* Volume Integration: High weights on VWAP-RSI and MFI ensure that momentum signals are backed by trading volume.
* Advanced Divergence: The robust formula significantly enhances the detection of Bullish and Bearish Divergences, often providing an earlier signal than traditional oscillators.
* Customizable: Adjustable Lookback Length (N) and Individual Component Weights allow users to fine-tune the oscillator for specific assets or timeframes.
* Visual Clarity: Uses 40/60 bands for earlier Overbought/Oversold indications, with a gradient-styled background for intuitive visual interpretation.
⚪ Usage
Use Hybrid – WinCAlgo as your primary momentum confirmation tool:
* Divergence Signals: Trust the indicator when it fails to confirm new price highs/lows; this signals imminent trend exhaustion and reversal.
* Accumulation/Distribution: Look for the oscillator to rise/fall while the price is ranging at a bottom/top; this confirms hidden buying or selling (accumulation).
* Overbought/Oversold: Use the 60 band as the trigger for potential selling/shorting signals, and the 40 band for potential buying/longing signals.
* Noise Filter: Combine with a higher timeframe chart (e.g., 4H or Daily) to filter out gürültü (noise) and focus only on significant momentum shifts.
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RSI Cross Below 30 – Red Background StripShows red bars on chart in instances where RSI drops below 30
On Balance Volume ModA/D doesnt take into account the opening price, it just sees the difference in high to close wik vs close to low wik and adds volume
however if the closing price is above the opening price then arguably there was more buying action than selling
so adjusting A/D formula so that if close > open then it adds to volume not subtract
Effectively this becomes something in bw OBV and A/D
also we need not worry about gaps, since no tradding happens in gaps, so just a gap up / gap down doesnt have any accumulation / distribution effect
EGX30 Advance/Decline Line🇪🇬 EGX30 Advance/Decline & Market Breadth Suite
This comprehensive indicator provides a deep dive into the market breadth of the EGX30 index, allowing traders and analysts to monitor underlying buying and selling pressure across its constituents. It offers five distinct metrics for a holistic view of market health, ranging from traditional Advance/Decline analysis to advanced McClellan Oscillators and TRIN (Arms Index) readings.
Key Features and Metrics
The indicator is selectable via the 'Select Metric' input and can display the following on your chart:
1. Advance/Decline Line: A cumulative measure of the difference between the number of advancing stocks and declining stocks (Advancing Stocks−Declining Stocks). It helps confirm the market's trend strength.
2. McClellan Oscillator: Calculated using the Advance/Decline Ratio (AD Ratio) smoothed by two Exponential Moving Averages (EMAs). It acts as a momentum measure of the A/D Line, highlighting potential overbought/oversold conditions and trend turns.
Climax Levels: Horizontal lines are plotted at +0.1 (Buy Climax) and −0.1 (Sell Climax).
3. Arms Index (TRIN): A volume-based indicator that measures the ratio of the Advance/Decline Ratio to the Advancing Volume/Declining Volume Ratio. A value above 1.0 is generally bearish (more volume in declining stocks), while a value below 1.0 is bullish.
Bands: Upper and Lower deviation bands are calculated and plotted for advanced analysis of extremes.
4. Total Volume: The raw, aggregated volume of all EGX30 constituent stocks.
5. Total Liquidity (Total Traded Value): The sum of (Price × Volume) for all EGX30 constituent stocks, giving a more accurate representation of capital flow.
⚙️ Customizable & Smart Configuration
The indicator is designed for maximum flexibility and accuracy across different chart timeframes:
Automatic Timeframe Configuration: When enabled (default), the script automatically selects optimized lookback periods for the Moving Average (MA), McClellan EMAs, and TRIN Lookback based on whether the chart is Intraday, Daily, Weekly, or other.
Manual Overrides: Disable the auto-configuration to manually set the MA Length, McClellan Fast/Slow EMAs, and TRIN Lookback/StdDev Multiplier for custom analysis.
📊 Advanced Data Table (Market Breakdown)
When the 'Show Table' input is toggled ON, a detailed statistics table appears on the chart's top-right corner, providing real-time market insights.
Top Performance (Contributors): Ranks and displays the Top N (customizable) stocks that are contributing the most to the index's movement, calculated as Weight × Percentage Change.
Top Liquidity: Ranks and displays the Top N stocks by their current-bar traded value (Price×Volume), expressed as a percentage of the Total Traded Value.
Horizontal Stats (Row 3): Provides a comprehensive summary of the current market state:
Adv, Decl, Unch: Count of advancing, declining, and unchanged stocks.
Net Adv: The difference between advancing and declining stocks.
Net Vol / Net Liq: Net Volume/Liquidity as a percentage of Total Volume/Liquidity.
Primary Metric/Volume Stats: Depending on the selected metric, it displays the current value of TRIN or the raw Total Volume and Total Liquidity.
This tool is indispensable for traders needing a clear, quantified understanding of the EGX30's underlying market dynamics.
EGX30 Advance/Decline v1.1
In this improved version, the relative weights of the index components have been adjusted, some stocks have been removed from the index, and new stocks have been added based on the latest update of the Egyptian Exchange's EGX30 index. Some visual improvements have also been made.
DeltaBurst Locator ## DeltaBurst Locator
DeltaBurst Locator is a sponsorship detector that divides OBV impulse by price thrust, normalizes the ratio, and cross-checks it against a higher timeframe confirmation stream. The oscillator turns the abstract "is this move real?" question into a precise number, exposing accumulation, distribution, and exhaustion across futures and stocks.
HOW IT WORKS
OBV Impulse vs. Price Change – Smoothed deltas of On-Balance Volume and price are ratioed, then normalized using a hyperbolic tangent function to prevent single prints from dominating.
Signal vs. Confirmation – A short EMA produces the execution signal while a higher-timeframe request.security() feed validates whether broader flows agree.
Spectrum Classification – Expansion/compression metrics grade whether current aggression is intense or fading, while ±0.65 bands define exhaust/vacuum zones.
Slope Divergences – Linear regression slopes on both price and the ratio expose bullish/bearish sponsorship mismatches before candles reverse.
HOW TO USE IT
Breakout Validation : Only chase breakouts when both local and higher-timeframe ratios are on the same side of zero; mixed signals suggest liquidity is fading.
Absorption Trades : When the histogram spikes beyond ±0.65 but the EMA lags, expect absorption; combine with price structure for pinpoint reversals.
News/Event Monitoring : During earnings or macro releases, watch for ratio collapses with price still rising—this flags forced moves driven by hedging rather than real demand.
VISUAL FEATURES
Color logic: Positive sponsorship fills teal, negative fills crimson against the zero line, making intent obvious at a glance.
Optional markers: Burst triangles and divergence dots can be enabled when you need explicit annotations or left off for a minimalist panel.
Compression heatmap: Background shading communicates whether the market is coiling (high compression) or erupting (low compression).
Dashboard: Displays the live ratio, higher-timeframe ratio, and agreement state to speed up scanning across tickers.
PARAMETERS
Fast Pulse Length (default: 5): Controls the smoothing window for price change detection.
Slow Equilibrium Length (default: 34): Window for expansion/compression calculation.
OBV Smooth (default: 8): Smoothing period for OBV impulse calculation.
Ratio Ceiling (default: 3.0): Controls how aggressively values saturate; raise for high-volatility tickers.
Signal EMA (default: 4): EMA period for the signal line.
Confirmation Timeframe (default: 240): Pick a higher anchor (e.g., 4H) to validate intraday moves.
Divergence Window (default: 21): Window for slope-based divergence detection.
Show Burst Markers (default: disabled): Toggle burst triangles on demand.
Show Divergence Markers (default: disabled): Toggle divergence dots on demand.
Show Delta Dashboard (default: enabled): Hide when screen space is limited; leave on for desk broadcasts.
ALERTS
The indicator includes four alert conditions:
DeltaBurst Bull: Spotted a bullish liquidity burst
DeltaBurst Bear: Spotted a bearish liquidity burst
DeltaBurst Bull Div: Detected bullish sponsorship divergence
DeltaBurst Bear Div: Detected bearish sponsorship divergence
Hope you enjoy!
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis
Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points.
🎯 What Makes This Indicator Unique?
Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones).
📊 Core Features
1. Dynamic Volume Heatmap
- Visualizes volume concentration across 250 customizable price levels
- Gradient color scheme from high volume (white) to low volume (teal/green)
- Adjustable brightness multiplier for enhanced contrast and clarity
- Real-time updates as market conditions evolve
2. Point of Control (POC)
- Automatically identifies the price level with the highest traded volume
- Acts as a magnetic price level where markets often return
- Critical for identifying fair value areas and potential reversal zones
- Customizable line style, width, and color
3. Flexible Lookback Settings
- Lookback Bars: Set any value from 1-5000 bars to control analysis depth
- Visible Range Mode: Analyze only what's currently visible on your chart
- Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts
- Adapts to your trading style - scalping to position trading
4. Session Separation Analysis
- Tokyo Session: 00:00-09:00 UTC
- London Session: 07:00-16:00 UTC
- New York Session: 13:00-22:00 UTC
- Sydney Session: 21:00-06:00 UTC
- Daily Reset: Analyze each trading day independently
Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels.
5. Profile Width Options
- Dynamic: Profile width adjusts based on lookback period
- Fixed Bars: Set a specific bar count for consistent profile width
- Extend Forward: Project the profile into future bars for planning trades
6. Smart Alerts
- POC crossover/crossunder alerts
- New session start notifications
- Never miss critical price action at high-volume nodes
📈 How to Use This Indicator Professionally
Understanding Market Structure:
High Volume Nodes (HVN):
- Appear as bright/white areas in the heatmap
- Represent price levels where significant trading occurred
- Act as strong support/resistance zones
- Markets often consolidate or bounce from these levels
- Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators
Low Volume Nodes (LVN):
- Appear as darker/teal areas in the heatmap
- Represent price levels with minimal trading activity
- Price tends to move quickly through these areas
- Often form "gaps" in the volume profile
- Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here
Point of Control (POC):
- The single most important price level in your analysis window
- Represents the fairest price where maximum volume traded
- Price gravitates toward POC like a magnet
- Trading Strategy:
* When price is above POC: bullish bias, POC acts as support
* When price is below POC: bearish bias, POC acts as resistance
* POC breaks often lead to significant trend changes
Session-Based Analysis:
Use session separation to understand how different market participants trade:
Asian Session (Tokyo/Sydney):
- Typically lower volatility and range-bound
- Volume profiles often show tight, balanced distribution
- Use for identifying overnight ranges and gap fill zones
London Session:
- Highest volume session for forex pairs
- Often shows strong directional bias
- Look for breakouts from Asian ranges during London open
New York Session:
- Maximum participation when overlapping with London
- Institutional order flow most visible
- POC during NY session often becomes key level for following sessions
🎯 Practical Trading Applications
1. Identifying Support & Resistance:
High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached.
2. Trend Confirmation:
- Healthy uptrend: POC rising over time, HVN forming at higher levels
- Healthy downtrend: POC falling over time, HVN forming at lower levels
- Consolidation: POC relatively flat, volume balanced across range
3. Breakout Trading:
When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets.
4. Reversal Zones:
Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable.
5. Risk Management:
- Place stops beyond HVN areas (not within LVN zones)
- Size positions based on distance to nearest HVN
- Use POC as trailing stop level in trending markets
⚙️ Recommended Settings
For Day Trading (Scalping/Intraday):
- Lookback: 200-500 bars
- Rows: 200-250
- Enable session separation for your primary trading session
- Profile Width: Dynamic or Fixed Bars (30-50)
For Swing Trading:
- Lookback: 500-1000 bars
- Rows: 250
- Session separation: Daily Reset
- Profile Width: Dynamic
For Position Trading:
- Lookback: 1000-3000 bars
- Rows: 250
- Use timeframe-specific settings
- Profile Width: Extend Forward (20-50 bars)
💡 Pro Tips
1. Combine this indicator with price action analysis - volume confirms what price is telling you
2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages)
3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion
4. Session POC from previous sessions often acts as magnet for current session
5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts
6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions
🎨 Customization
Fully customizable visual appearance:
- Gradient colors for volume visualization
- POC line thickness, color, and style
- Session line colors and visibility
- All settings organized in intuitive groups
⚠️ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results.
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Support & Updates
Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below.
Happy Trading! 📊💹
Imbalance Volume Trend📌 Imbalance Volume Trend — Fair Value Gaps + Volume Imbalance + Trend Shifts
Imbalance Volume Trend is a price-action-driven indicator that automatically detects Fair Value Gaps (FVGs), measures the volume imbalance inside each gap, and builds a dynamic trend structure based on the sequence and strength of imbalances.
It visualizes the true power behind impulsive moves and provides early signals of potential trend reversals.
🔍 Core Concept
A Fair Value Gap appears when the market moves aggressively in one direction, leaving an “unfair” price zone caused by a strong imbalance between buyers and sellers.
These zones are often revisited by price, providing high-probability trading opportunities.
This indicator not only marks FVGs but also evaluates how strong the imbalance truly was by analyzing buy/sell volume dominance on the breakout candle.
📘 How the Indicator Works
1. Automatic Fair Value Gap Detection
The indicator scans for the classic 3-candle FVG pattern:
Bullish Imbalance
Candle 2 forms the bullish impulse.
A gap remains between the High of Candle 1 and the Low of Candle 3.
The indicator draws a bullish rectangle covering this area.
Bearish Imbalance
Candle 2 forms the bearish impulse.
A gap remains between the Low of Candle 1 and the High of Candle 3.
A bearish rectangle is drawn around the imbalance.
The breakout candle (the middle candle) forms the core of the imbalance and shows the directional expansion of price.
2. Volume Imbalance Percentage (%)
A unique feature of this tool is the calculation of buyer vs seller volume dominance inside each imbalance.
Can analyze lower-timeframe volumes or tick volumes.
The indicator computes how much buyers or sellers dominated during the formation of the FVG.
A colored percentage label appears near every imbalance, showing:
Buyer dominance % for bullish gaps
Seller dominance % for bearish gaps
This helps traders understand the strength of each imbalance.
Often, during late stages of a trend, the percentage value starts to weaken — giving early warning of trend exhaustion.
3. Imbalance-Based Trend Structure
Another powerful component is the Imbalance Trend Engine, which builds a trend direction using consecutive FVGs.
A trend continues as long as new imbalances form in the same direction.
A trend reversal is detected when:
A new imbalance appears in the opposite direction, and
Its body breaks through a specified level of the previous imbalance of the current trend.
When this event occurs, the indicator plots a colored arrow marking the change in Imbalance Trend.
This creates a clean and logical price-action trend model built entirely on institutional-style imbalances.
4. Alerts & Notifications
The indicator supports TradingView alerts for:
New Imbalance Detected
Imbalance Trend Reversal
RSI Analytic Volume Matrix [RAVM] Overview
RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle.
The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time.
Concept & Philosophy
RAVM is built around a hierarchical logic and a few core ideas:
• Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed).
• Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting.
• RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power.
• Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context.
• Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries.
• VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart.
How RAVM Works
1. RSI Context & Geometry
RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity).
The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning.
2. Volume & Statistical Engine
The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of:
• Total volume
• Buy-side volume
• Sell-side volume
• Delta (buy – sell)
Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history?
3. Scoring System (Quantum Score)
For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence:
A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks.
B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight.
C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting.
D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?"
E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax.
If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence.
4. Overlay UI & Smart Labels
RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows:
• Direction of the setup (bullish or bearish)
• Trigger type (classic OS/OB vs. geometric/hidden)
• Status (warning vs. confirmed)
• Quantum Score as a percentage
Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable.
In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power.
RSI Is Not Just 30 and 70
One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification.
Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place?
In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator.
Matrix User Manual – Reading the 5×5 Grid
The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance.
1. Confirmation Scenarios
These scenarios occur when momentum direction and volume expansion are aligned:
• Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective.
• Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns.
2. Absorption & Stopping Volume
• Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd.
• Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn.
3. Distribution & Buying Climax
• Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints.
• Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling.
4. No Demand & No Supply
• No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action.
• No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in.
5. Trend Exhaustion
• Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves.
• Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally.
6. Effort vs. Result Scenarios
• Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market.
• Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand.
7. Neutral, Churn & Thin Markets
• Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important.
• High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend.
Inputs & Options
RAVM includes several input groups to adapt the tool to your preferences:
• Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian).
• RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70).
• Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events.
• Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters.
• Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states.
Disclaimer
RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
MSSM - Multi-Session Structural Map (Precision Sweeps)MSSM – Multi-Session Structural Map (Precision Sweeps)
This indicator provides a structured view of the market based on four key components:
1). Previous session levels
2). Confirmed fractal swing points
3). Volume pocket highlights
4). Non-repainting precision liquidity sweep markers
It is designed to help analyze how price interacts with important reference areas and structural points. This tool does not generate signals or predictions. All information is visual and educational only.
HOW THE INDICATOR WORKS
PREVIOUS SESSION LEVELS
The script plots the previous session’s High, Low, and Mid. These levels help observe how the current session behaves around the prior day’s range. They act as reference areas only.
FRACTAL SWING MAP (NON-REPAINTING)
Confirmed fractals are used to mark historical swing highs and swing lows. Since fractals confirm after a certain number of bars, the swings do not repaint once formed. These swings provide a clearer view of market structure.
VOLUME POCKETS
The indicator highlights areas where volume expands relative to a rolling volume average. These regions show increased participation or activity. The highlights are informational and do not imply direction.
PRECISION LIQUIDITY SWEEPS (NON-REPAINTING)
A sweep is tagged only when:
• Price trades beyond a confirmed swing high or swing low
• Price closes back inside the previous swing level
• A wick rejection occurs
• Volume expands relative to a recent rolling average
These markers simply show where price interacted with liquidity around prior structural levels. They do not indicate a trading signal or bias.
HOW TO ADD THE INDICATOR
Open the Pine Editor in TradingView
Search the indicator name and add to favorites.
Click “Add to chart”
Adjust settings as needed (fractals, sweeps, volume pockets, or session levels)
HOW TO READ AND USE THE INDICATOR
SESSION LEVELS
Observe whether price respects, rejects, compresses around, or expands beyond the previous session high, low, or midpoint. These are observational reference levels only.
FRACTALS
Fractal highs and lows help visualize structural turning points. They provide a clearer picture of where liquidity may rest above or below past swing levels.
VOLUME POCKETS
When volume expands compared to the recent average, the candle is shaded. These areas may show increased participation, but no directional meaning is implied.
PRECISION SWEEPS
Sweeps highlight when price reaches beyond a prior confirmed swing level and then rejects that area with displacement. These markers identify interactions with liquidity, but they are not signals and do not forecast future outcomes.
CUSTOMIZATION OPTIONS
Users can adjust:
• Session level visibility
• Fractal sensitivity
• Volume pocket threshold
• Sweep sensitivity and visibility
• Transparency and styling
This makes the tool flexible across different symbols and timeframes.
IMPORTANT NOTES AND POLICY COMPLIANCE
• The indicator does not provide buy or sell signals
• The indicator does not predict price or direction
• All plotted elements are based on past price behavior
• All components are informational only
• Users should perform their own analysis and risk evaluation
• Past behavior does not guarantee future performance
SUMMARY
MSSM provides a structured view of price by combining previous session levels, confirmed swing structure, volume expansion zones, and non-repainting sweep identification. Its purpose is to assist traders in visually analyzing market structure while staying fully aligned with TradingView’s House Rules and content policies.
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
Oscillator Matrix ScreenerOscillator Matrix Screener
Oscillator Matrix Screener is a multi asset, multi timeframe dashboard that lets you quickly compare momentum, money flow, and exhaustion conditions across up to 10 symbols in a single table. It is designed as a visual screener so you can spot strength, weakness, reversals, and confluence at a glance without flipping charts.
Core Logic
For each enabled ticker and timeframe the script calculates:
Money Flow
Uses MFI to estimate buying vs selling pressure relative to volume and price movement.
HyperWave Oscillator
Uses RSI to classify the market into regimes such as Overbought Down, Oversold Up, and intermediate up or down states.
Overflow Oscillator
Uses Stochastic to show how extended price is within its recent range.
Reversal Signals
Detects potential bullish and bearish reversal events using RSI crossovers around key zones.
Strong Reversal Up
Reversal Up
Strong Reversal Down
Reversal Down
Divergence
Flags simple bullish or bearish divergence between price and RSI.
Composite Rating and Confluence
Combines multiple components into a single rating:
Strong Bullish
Bullish
Neutral
Bearish
Strong Bearish
That rating is then translated into a confluence label such as Strong, Weak or Mixed to summarize overall pressure.
Table Layout
All results are displayed in a compact table:
Ticker
Last price
Volume
Percent change from the current daily open
Absolute change from the current daily open
Rating
HyperWave signal text
Money Flow value
Overflow value
HyperWave value
Reversal status
Divergence status
Confluence status
Rows alternate background colors for readability, and key cells use context based coloring. For example:
HyperWave cell background shifts between red and green families depending on overbought or oversold states.
Percent change and change columns are green for positive moves and red for negative moves.
Bullish and bearish conditions use distinct color accents so you can scan quickly.
Filters and Controls
You can tailor what appears in the table with several filters:
Rating Filter
Show only symbols that match a chosen rating band such as Strong Bullish, Any Bullish, Bearish, or Strong Bearish.
Money Flow Filter
Restrict results to Money Flow values above, below, or very close to a chosen level.
Ticker and Timeframe Selection
Enable or disable up to 10 tickers, each with its own timeframe input. Examples of lists could be any of these for example:
Same symbol across multiple timeframes
A watchlist of different symbols on the same timeframe
Mixed layout that matches your personal workflow
Display Settings
Choose table position, text size, background and header colors to fit your chart layout.
How to Use
Add your preferred tickers and timeframes.
Optionally apply rating or money flow filters to focus on only the strongest or weakest setups.
Use the table as a top down scanner to:
Find symbols with strong bullish or bearish confluence.
Spot reversals that align with oversold or overbought zones.
Identify divergence backed by supportive money flow or overflow readings.
Oscillator Matrix Screener is intended as a decision support tool. It does not generate direct buy or sell signals by itself. Always combine it with your own technical knowledge and risk mitigation skills
RVol based Support & Resistance ZonesDescription:
This indicator is designed to help traders identify significant price levels based on institutional volume. It monitors two higher timeframes (defined by the user) simultaneously. When a candle on these higher timeframes exhibits unusually high volume—known as high Relative Volume (RVol)—the indicator automatically draws a "Zone of Interest" box on your current chart.
These zones are defined by:
Up candle : from candle open to low of candle
Down candle : from candle open to high of candle
Key Features:
Multi-Timeframe Monitoring: You can trade on a lower timeframe (e.g., 5-minute) while the indicator monitors the 30-minute and 1-hour charts for volume spikes.
RVol Boxes: Automatically draws boxes extending from high-volume candles.
Up Candles: Box covers Low to Open.
Down Candles: Box covers High to Open.
Live Dashboard: A neat, color-coded table displays the current Volume, Average Volume, and RVol percentage for your watched timeframes.
Real-Time vs. Confirmed: Choose whether to see boxes appear immediately as volume spikes (Live) or only after the candle has closed and confirmed the volume (Candle Close).
Settings Guide:
1. General Settings
Relative Volume Length: The number of past candles used to calculate the "Average Volume." (Default is 20).
Max Days Back to Draw: To keep your chart clean, this limits how far back in history the script looks for high-volume zones. (e.g., set to 5 to only see zones created in the last 5 days).
Draw Mode:
- Live (Real-time): Draws the box immediately if the current developing candle hits the volume threshold. (Note: The box may disappear if the volume average shifts before the candle closes).
- Candle Close: The box only appears once the candle has finished and permanently confirmed the volume spike.
2. Table Settings
Show Info Table: Toggles the dashboard on or off.
Text Size & Position: Customise where the table appears on your screen and how large the text is.
Colours: Fully customisable colours for the Table Header (Top row) and Data Rows (Bottom rows).
3. Timeframe 1 & 2 Settings
You have two identical sections to configure two different timeframes (e.g., 30m and 1H).
Timeframe: The chart interval to monitor (e.g., "30" for 30 minutes, "60" for 1 Hour, "240" for 4 Hours).
Threshold %: The "Trigger" for drawing a box based on relative candle volume in that timeframe.
Example:
100% = Candle Volume is equal to the average volume for the specified timeframe.
200% = Candle Volume is 2x the average volume for the specified timeframe.
300% = Candle Volume is 3x the average volume for the specified timeframe.
Box & Edge Colour: Distinct colours for each timeframe so you can easily tell which timeframe created the zone.
Flow Dynamics Pro [ChartNation]Flow Dynamics Pro - Institutional Order Flow Zones
Detect high-probability institutional rejection zones with advanced volume analysis and confluence scoring.
Flow Dynamics Pro identifies institutional order flow zones where smart money enters and defends positions. Unlike traditional order blocks or supply/demand indicators, this tool combines multiple confirmation factors into a single confluence score, helping you focus on the highest-quality setups.
🎯 KEY FEATURES
Institutional Zone Detection
Volume spike analysis (customizable threshold)
Rejection wick detection (upper/lower wick ratios)
Market structure validation (swing high/low alignment)
Multi-factor confluence scoring (0-100 scale)
Visual Volume Distribution
Bull/bear volume split displayed inside each zone
See the exact buying vs selling pressure at institutional levels
Percentage breakdowns for quick analysis
Toggle on/off based on preference
Smart Zone Management
Automatic zone invalidation when broken with volume
Zone test tracking (shows how many times zones held)
Visual strengthening (borders thicken after successful tests)
Overlap prevention (maintains minimum spacing between zones)
Maximum zone limit (keeps chart clean)
Confluence Scoring System
Zones are scored 0-100 based on:
Volume Strength (30 points) - How significant was the volume spike
Market Structure (25 points) - Alignment with swing points
Zone Quality (25 points) - Wick ratio and pressure imbalance
Size Quality (20 points) - Optimal zone size relative to ATR
Zones are categorized as:
⚡ PREMIUM (80+) - Highest quality setups
🔥 STRONG (60-79) - Solid institutional zones
✓ MODERATE (40-59) - Valid but lower confluence
Timeframe Adaptive
Automatically adjusts detection sensitivity based on timeframe:
On 1H and lower: Stricter requirements (reduces noise)
On 4H and higher: Standard sensitivity (catches major zones)
Works on all timeframes from 1-minute to Monthly
Multi-Timeframe Context
Display higher timeframe zones for broader market context
Customizable HTF timeframe selection
Dashed visualization to distinguish from current timeframe zones
Comprehensive Alerts
Premium zone created (score 80+)
Price entering zone
Price exiting zone
Zone tested successfully
Zone invalidated
⚙️ SETTINGS OVERVIEW
Detection Settings
Volume Spike Threshold (default: 1.2x)
Minimum Wick Ratio (default: 0.3)
Structure Validation toggle
Detection Lookback period
Invalidation Settings
Require volume for invalidation (toggle)
Invalidation volume threshold (default: 1.2x)
Customizable to match your trading style
Display Settings
Maximum zones to display (default: 8)
Show/hide labels
Show/hide volume data
Volume distribution toggle
Label size adjustment (Small/Normal/Large)
Minimum zone spacing % (prevents overlaps)
Minimum confluence score filter (default: 55)
Visual Customization
Bullish zone color and opacity
Bearish zone color and opacity
Border colors
Multi-timeframe zone colors
📊 HOW TO USE
For Swing Traders (4H, Daily)
Focus on PREMIUM zones (score 80+)
Look for zones with multiple successful tests
Enter on retests with confirmation
Use HTF zones for broader context
For Intraday Traders (1H, 15m)
Use higher confluence minimum (60-65)
Increase zone spacing to reduce clutter
Focus on zones with clear volume distribution
Combine with price action for entries
Zone Test Interpretation
Tested 0x: Fresh zone, untested
Tested 1-2x: Gaining strength
Tested 3+x: Highly defended level (thicker borders)
Volume Distribution Guide
80%+ on one side: Strong directional bias
60-70% dominance: Moderate bias
50-50 split: Contested area, use caution
🔧 BEST PRACTICES
Combine with trend: Trade zones in direction of higher timeframe trend
Wait for confirmation: Don't enter blindly at zone touch
Respect invalidation: When zones break with volume, they're done
Use confluence scores: Prioritize scores 70+ for highest win rate
Manage spacing: Adjust spacing % if chart feels cluttered
Check timeframe: Lower timeframes may need stricter settings
🎓 UNDERSTANDING THE INDICATOR
What are Institutional Zones?
Areas where large players (institutions, market makers, smart money) have entered positions and actively defend them. These show up as:
High volume rejection wicks
Multiple tests that hold
Clear buying/selling pressure imbalance
Why Confluence Scoring?
Not all zones are equal. The 0-100 scoring system helps you quickly identify which zones have the most confirmation factors aligned, saving time and improving trade selection.
Why Zone Spacing Matters
Too many overlapping zones create analysis paralysis. The spacing filter ensures you see only distinct, meaningful levels.
📈 TECHNICAL DETAILS
Indicator Type: Overlay
Max Boxes: 500
Max Labels: 500
Pine Script Version: 6
Real-time Updates: Yes
Alerts: 5 types available
Repainting: Zones finalize on bar close
🚀 GET STARTED
Add indicator to chart
Adjust confluence minimum (55-65 recommended)
Set volume threshold for your instrument (1.2-1.5)
Customize colors to match your theme
Enable alerts for your preferred signals
Trade with proper risk management
💡 TIPS
Start with default settings and adjust based on results
Higher timeframes = more reliable zones
Premium zones (80+) have best risk/reward
Tested zones (3+) show strong institutional defense
Use zone invalidation as stop-loss reference
Flow Dynamics Pro is part of the ChartNation indicator suite - delivering institutional-grade tools for serious traders.
EGX30 Advance/Decline Line
📈 EGX30 Advance/Decline Line Indicator: Overview and Usage
The EGX30 Advance/Decline Line indicator is a comprehensive tool designed to analyze the market breadth and sentiment of the EGX30 index by aggregating and visualizing statistics from its 29 component stocks. It goes beyond simple price action to provide deeper insights into the underlying strength or weakness of the index's movers.
This script allows users to select from five primary metrics and includes advanced features like automatic parameter configuration based on the chart's timeframe and a detailed information table summarizing the day's market activity.
Key Features and Available Metrics
You can select one of the following primary metrics from the 'Select Metric' dropdown menu:
1. Advance/Decline Line (A/D Line):
Plots the cumulative total of Net Advances (Advancing Issues - Declining Issues).
It is used to confirm the index's trend or warn of divergences, where the index is rising but the A/D line is falling (suggesting fewer stocks are participating in the rally).
Includes a Zero Line and a configurable Simple Moving Average (SMA).
2. McClellan Oscillator (MCC):
A breadth oscillator based on the difference between two Exponential Moving Averages (EMAs) of the Advance/Decline Ratio.
It measures the speed and direction of market breadth momentum.
Includes a Buy Climax (0.1) and Sell Climax (-0.1) dotted lines to identify overbought/oversold conditions.
3. Arms Index (TRIN - TRading INdex):
A volume-based oscillator that compares the ratio of Advancing Issues/Declining Issues to the ratio of Advancing Volume/Declining Volume.
A reading above 1.0 (Neutral Level) suggests selling pressure (Declining Volume is relatively high), while a reading below 1.0 suggests buying pressure (Advancing Volume is relatively high).
Includes a Neutral Level (1.0) and Upper/Lower Bands based on Standard Deviation to identify Overbought/Oversold extremes.
4. Total Volume:
Plots the aggregated total volume for all 29 EGX30 component stocks.
Includes a SMA for trend comparison.
5. Total Liquidity:
Plots the aggregated total traded value (Price * Volume) for all 29 component stocks.
A measure of overall capital movement in the index components.
Includes a SMA for trend comparison.
⚙️ Configuration Settings
The indicator includes two primary configuration groups:
Timeframe Configuration
▶️ Enable Automatic Timeframe Configuration: When enabled (default), the script automatically optimizes the lookback lengths for the Moving Averages (MA), McClellan Oscillator, and TRIN based on whether the chart is set to an Intraday, Daily, or Weekly timeframe.
⚙️ Manual Overrides: Disable the automatic configuration to manually set the lengths for MA Length, McClellan Fast EMA, McClellan Slow EMA, and TRIN Lookback.
Table Settings
The indicator displays a table in the top-right corner summarizing key market breadth statistics.
Number of Top Contributors: Sets the number of top stocks (up to 29) to display in the table.
Show Top Contributors (Performance): Shows the stocks with the largest absolute index-weighted contribution to the EGX30's movement.
Show Top Contributors (Volume): Shows the stocks with the highest traded value (liquidity), displayed as a percentage of the total traded value.
The table also provides a persistent summary of:
Advancing, Declining, and Unchanged Issues.
Net Advancements (unless TRIN is selected).
Net Volume % and Net Liquidity %.
Mode-specific statistics like Total Volume/Liquidity or Advancing/Declining Volume.
ZScore SemiConductoresZ-Score of Semiconductor Sector Volume
This custom Pine Script indicator applies a Z-Score calculation to the aggregated trading volume of leading semiconductor companies. The goal is to highlight statistical extremes in sector activity that may signal unusual market behavior.
🔧 How it works
- Fixed ticker list: NVDA, AVGO, TSM, AMD, ASML, MU, ARM, ON, TXN, QCOM, INTC.
- Aggregate volume: The script sums the trading volume of all tickers in the list for the selected timeframe.
- Z-Score calculation:
- Moving average and standard deviation are computed over a configurable window (default = 50 bars).
- Formula:
Z= (Current Volume - Mean) / Standard Deviation
Visualization:
- Z-Score plotted in green.
- Reference lines at 0, ±1σ, ±2σ.
- Labels (triangles) mark critical signals when Z > +2 or Z < -2.
📈 Why it matters
- Detects abnormal surges or drops in sector-wide volume.
- Highlights potential euphoria (+2σ) or panic (-2σ) moments.
- Useful as a filter for trading strategies or as a sector-level alert system.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice
PoC Migration Map [BackQuant]PoC Migration Map
A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime.
What this is
This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart.
The result is a "migration map" of value:
A side volume profile that shows how volume is distributed over the recent price range.
A sequence of PoC nodes that show where local value has been accepted over time.
Lines that connect those PoCs to reveal the path of value migration.
Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime.
Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend.
Core components
Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window.
Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time.
Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21.
PoC labels - optional labels on every Nth PoC for easier reading and referencing.
How it works
1) Global lookback and binning
You choose:
Lookback Bars - how far back to collect data.
Number of Bins - how finely to split the price range.
The script:
Finds the highest high and lowest low in the lookback.
Computes the total price range and divides it into equal binCount slices.
Assigns each bar's close and volume into the appropriate price bin.
This creates a discretized volume distribution across the entire lookback.
2) Side volume profile
If "Show Side Profile" is enabled, a right-hand volume profile is drawn:
Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar.
The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin.
Optionally, volume values and percentages are printed inside the profile bars.
Color and transparency are controlled by:
Base Profile Color and its transparency.
A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins.
Profile Width (%) - how wide the maximum bin can extend in bars.
This gives you an at-a-glance view of the volume landscape for the chosen lookback window.
3) Segmenting for PoC migration
To build the PoC trail, the lookback is divided into segments:
Bars per Segment - bars in each local cluster.
Number of Segments - how many segments you want to see back in time.
For each segment:
The script uses the same price bins and accumulates volume only from bars in that segment.
It finds the bin with the highest volume in that segment, which is the local PoC for that segment.
It sets the PoC price to the center of that bin.
It finds the "mid bar" of the segment and places the PoC node at that time on the chart.
This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time.
4) Trend regime and color coding
The indicator precomputes:
EMA 12 (Fast).
EMA 21 (Slow).
For each PoC:
It samples EMA 12 and EMA 21 at the mid bar of that segment.
It computes a simple trend score as fast EMA minus slow EMA.
If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by:
Trend Up Color if EMA 12 is above EMA 21.
Trend Down Color if EMA 12 is below EMA 21.
Trend Flat Color if they are roughly equal.
If the trend heatmap is disabled, PoC color is instead based on PoC migration:
If the current PoC is above the previous PoC, use the Up PoC Color.
If the current PoC is below the previous PoC, use the Down PoC Color.
If unchanged, use the Flat PoC Color.
5) Connecting PoCs and labels
Once PoC prices and times are known:
Each PoC is connected to the previous one with a dotted line, using the PoC's color.
Optional labels are placed next to every Nth PoC:
Label text uses a simple "PoC N" scheme.
Label background uses a configurable label background color.
Label border is colored by the PoC's own color for visual consistency.
This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart.
What it plots
When fully enabled, you will see:
A right-sided volume profile for the chosen lookback window, built from volume by price.
Colored horizontal bars representing each price bin's relative volume.
Optional volume text showing each bin's volume and its percentage of the profile maximum.
A series of PoC nodes spaced across the chart at the mid point of each segment.
Dotted lines connecting those PoCs to show the migration path of value.
Optional PoC labels at each Nth node for easier reference.
Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift.
Reading PoC migration and market pressure
Side profile as a pressure map
The side profile shows where trading has been most active:
Thick, opaque bars represent high volume zones and possible high interest or acceptance areas.
Thin, faint bars represent low volume zones, potential rejection or transition areas.
When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size.
When price moves quickly through low volume bins, it often does so with less friction.
This gives you a static map of where the market has been willing to do business within your lookback.
PoC trail as a value migration map
The PoC chain represents "where value has lived" over time:
An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices.
A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down.
A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance.
Taken together, you can interpret:
Side profile as "where the volume mass sits", a static pressure field.
PoC trail as "how that mass has moved", the dynamic path of value.
Trend heatmap as a regime overlay
When PoCs are colored by the EMA 12 / 21 spread:
Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime.
Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime.
Gray PoCs mark flat or ambiguous trend segments.
This lets you answer questions like:
"Is value migrating higher while the trend regime is also up?" (trend confirming value).
"Is value migrating higher but most PoCs are red?" (value against the prevailing trend).
"Has value started to roll over just as PoCs flip from green to red?" (early regime transition).
Key settings
General Settings
Lookback Bars - how many bars back to use for both the global volume profile and segment profiles.
Number of Bins - how many price bins to split the high to low range into.
Profile Settings
Show Side Profile - toggle the right-hand volume profile on or off.
Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars.
Base Profile Color - the starting color for profile bars, with transparency.
Show Volume Values - if enabled, print volume and percent for each non-zero bin.
Profile Text Color - color for volume text inside the profile.
PoC Migration Settings
Show PoC Migration - toggle the PoC trail plotting.
Bars per Segment - the number of bars contained in each segment.
Number of Segments - how many segments to build backwards from the current bar.
Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.)
Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels).
Right Offset (bars) - horizontal offset to anchor the side profile on the right.
Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off.
Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off.
Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off.
PoC Label Background - background color for PoC labels.
Trend Heatmap Settings
Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors.
Fast EMA - length for the fast EMA.
Slow EMA - length for the slow EMA.
Trend Up Color - color for PoCs in a bullish EMA regime.
Trend Down Color - color for PoCs in a bearish EMA regime.
Trend Flat Color - color for neutral or flat EMA regimes.
Trading applications
1) Value migration and trend confirmation
Use the PoC path to see if value is following price or lagging it:
In a healthy uptrend, price, PoCs, and trend regime should all lean higher.
In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs.
In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle.
2) Identifying acceptance and rejection zones
Combine the side profile with PoC locations:
High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points.
PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones.
High volume zones with mixed PoC colors may signal balance or prolonged negotiation.
3) Structuring entries and exits
Use the map to refine trade location:
Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change.
Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries.
Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise.
4) Regime transitions
Watch how PoCs behave as the EMA regime changes:
A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend.
If EMAs flip but PoC migration does not follow, the trend signal may be early or false.
A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend.
Best practices
Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse.
Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing.
Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing.
Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests.
Notes
This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand:
Where the bulk of trading has occurred in your chosen window.
How the center of volume has migrated over time.
Whether that migration is aligned with or fighting the current trend regime.
By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
