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! 📊💹
VSA
Bookmap Style Aggressor Bubbles
This indicator is designed to emulate the visual aesthetic of professional Order Flow software (such as Bookmap) directly within TradingView. It replaces the traditional candlestick view with a clean "Microstructure" Step Line and highlights significant volume events using dynamic "Aggressor Bubbles."
This tool is perfect for traders who practice Order Flow analysis, Scalping, or VSA (Volume Spread Analysis) and want to visualize the relative intensity of buyers and sellers without the noise of traditional wicks and bodies.
1. How it Works
Since TradingView Pine Script operates on OHLCV (Level 1) data, this indicator uses a heuristic model to approximate Order Flow dynamics:
Aggressor Bubbles (Volume Spikes):
The script calculates a Relative Volume (RVOL) metric by comparing the current bar's volume against a 50-period Simple Moving Average (SMA).
If the current volume exceeds a user-defined threshold (e.g., 2.0x the average), a bubble is plotted.
Size: The bubble size scales dynamically based on how massive the volume spike is (Small, Normal, Large, Huge).
Direction (Color): The aggressor side is approximated using the price action of the bar. If Close >= Open, it is treated as Buy Aggression (Green). If Close < Open, it is treated as Sell Aggression (Red).
Microstructure Price Line:
Standard candles can obscure the immediate path of price. This indicator includes a Step Line option that plots the closing price. This mimics the "Last Price" feed seen in DOM-based software, allowing you to see exactly where price held or broke.
2. Features
Smart Filtering: Filters out low-volume noise. You only see bubbles when "Whales" or significant liquidity changes occur.
Visual Customization: Fully adjustable colors for Buy/Sell bubbles and the price line.
Alert System: Includes a built-in alert that triggers whenever a significant Aggressor Bubble appears, allowing you to be notified of high-activity moments instantly.
Clean Aesthetic: Optimized for Dark Mode/Black backgrounds.
3. How to Use
Chart Setup (Important): For the best experience, hide your standard candles. Go to Chart Settings > Symbol and uncheck Body, Borders, and Wick.
Settings: Set your background to Black.
Interpretation:
Breakouts: Look for large bubbles pushing price through a key level. This indicates strong momentum.
Absorptions: Look for large bubbles appearing at the top/bottom of a range without price follow-through. This often suggests a reversal (Passive limit orders absorbing the aggressive market orders).
4. Technical Disclosure & Limitations
Please note that TradingView Pine Script provides access to OHLCV (History) data, not historical Tick-by-Tick or Level 2 (Depth of Market) data. Therefore, this indicator is a simulation. The "Aggressor" side is derived from bar direction, and the bubbles represent executed volume per bar, not individual tick clusters. It is intended for visual analysis and identifying high-volume nodes relative to recent history.
Dynamic Support and Resistance with Trend LinesDynamic Support and Resistance with Trend Lines (DSRTL)
1. Introduction & Methodology
The DSRTL indicator is designed to provide a multidimensional analysis of market structure. Unlike traditional tools that rely solely on price pivots, this script combines Static Volume-based Zones with Dynamic Trend Lines to evaluate the price's position relative to critical market components.
The S/R Identification Technique
Instead of standard pivot points, DSRTL utilizes Volume Analysis to highlight areas of significant trader participation:
- Strategy A:
Matrix Climax: Identifies candles within the lookback period that are near price extremes (Highs/Lows) and coincide with significant buying or selling volume.
- Strategy B:
Volume Extremes: Detects candles with the absolute highest buy/sell volumes within the selected lookback window, creating extreme volume-based S/R zones.
- Result:
This creates Support/Resistance (S/R) zones that are validated by actual market activity, not just price geometry.
Dynamic Trend Lines
To complement the static zones, the indicator employs two adaptive channel methods:
- Pivot Span: Connects recent significant pivots for a fast, reactive trend corridor.
- 5-Point Channel: Segments the lookback period into 5 parts to perform a linear regression analysis, creating a stable and statistically significant channel.
2. Volume Calculation Methodology
Accurate S/R detection requires distinguishing Buy Volume from Sell Volume. DSRTL offers two calculation modes:
- Geometry (Source File): Estimates buy/sell volume based on the Close price's position relative to the High/Low of the candle.
Note: This is an approximation that works on all plan types as it does not require intrabar data.
- Intrabar (Precise): Analyzes historical lower-timeframe data (e.g., 15S) to calculate intrabar-based volume deltas with higher precision compared to the geometric method.
Note: This offers superior accuracy. It requires access to historical intrabar data (depending on your plan limits). For the best analytical results, use this mode if available.
3. The Smart Matrix Engine (3D Analysis)
The core of DSRTL is its dashboard, powered by the "Smart Matrix Engine." This engine evaluates the current price in a multi-layer market structure context (Static Volume Zones + Dynamic Channels + Volume Metrics).:
A. S-State (Static): Where is the price relative to the Volume S/R zones?
B. D-State (Dynamic): Where is the price relative to the Trend Channels?
How to read the Matrix Map:
The dashboard displays a 5x5 grid representing 25 possible market scenarios.
- Rows (S1-S5): Represent the Static State (S1=Breakout, S3=Mid-Range, S5=Breakdown).
- Columns (D1-D5): Represent the Dynamic State (D1=Overextended Up, D3=Neutral, D5=Overextended Down).
- Active Cell: Marked with a dot, indicating the specific intersection of price action and market structure.
4. Matrix Interpretations (The 25 Scenarios)
Below is the detailed logic for every possible state displayed on the dashboard, explaining the Title, Bias, and actionable Signal.
Section I: S1 - Static Breakout (Price > Static Resistance)
The price has cleared the static volume resistance zone.
- S1 / D1: HYPER EXTENSION
Bias: Extreme Bullish
Signal: Caution: Exhaustion Risk. Trail stops tight.
- S1 / D2: RESISTANCE CLASH
Bias: Bullish
Signal: Breakout confirmed but facing immediate dynamic resistance.
- S1 / D3: CHANNEL BREAKOUT
Bias: Strong Bullish
Signal: Ideal Trend Continuation. Look to buy dips.
- S1 / D4: SMART PULLBACK
Bias: Bullish (Pullback)
Signal: A pullback occurring after a breakout. Strong buy opportunity.
- S1 / D5: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakout is failing against dynamic structure. High Risk.
Section II: S2 - Inside Static Resistance
The price is currently testing the overhead resistance zone.
- S2 / D1: WEAK SPIKE
Bias: Neutral/Bullish
Signal: Testing resistance, but short-term overextended.
- S2 / D2: IRON FORTRESS (R)
Bias: Rejection Risk
Signal: Double Resistance (Static + Dynamic). High probability of rejection.
- S2 / D3: TESTING RES
Bias: Neutral
Signal: Consolidating at resistance. Wait for a clear break or rejection.
- S2 / D4: COMPRESSION (UP)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Resistance and Dynamic Support. Volatility imminent.
- S2 / D5: RES vs DOWN-TREND
Bias: Bearish
Signal: Strong downtrend meeting static resistance. Potential Short entry.
Section III: S3 - Mid-Range
The price is floating between significant Static Support and Resistance.
- S3 / D1: OVERBOUGHT RANGE
Bias: Rejection Risk (OB)
Signal: Overextended within the range. Potential fade (short).
- S3 / D2: RANGE HIGH LIMIT
Bias: Neutral/Bearish
Signal: At the top of the dynamic channel. Look for rejection signs.
- S3 / D3: NEUTRAL / CHOPPY
Bias: Neutral
Signal: Dead Center. Low probability environment. Avoid trading.
- S3 / D4: RANGE DIP BUY
Bias: Neutral/Bullish
Signal: At the bottom of the dynamic channel. Look for bounce signs.
- S3 / D5: WEAK RANGE (OS)
Bias: Bounce Risk (OS)
Signal: Oversold within the range. Potential fade (long).
Section IV: S4 - Inside Static Support
The price is currently testing the floor support zone.
- S4 / D1: SUP vs UP-TREND
Bias: Bullish
Signal: Strong uptrend meeting static support. Potential Long entry.
- S4 / D2: COMPRESSION (DN)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Support and Dynamic Resistance. Volatility imminent.
- S4 / D3: TESTING SUPPORT
Bias: Neutral
Signal: Consolidating at support. Wait for a bounce or breakdown.
- S4 / D4: IRON FLOOR (S)
Bias: Bounce Risk
Signal: Double Support (Static + Dynamic). High probability of a bounce.
- S4 / D5: WEAK DIP
Bias: Neutral/Bearish
Signal: Testing support, but short-term oversold.
Section V: S5 - Static Breakdown (Price < Static Support)
The price has dropped below the static volume support zone.
- S5 / D1: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakdown is failing. High Risk.
- S5 / D2: BEAR PULLBACK
Bias: Bearish (Pullback)
Signal: A pullback occurring after a breakdown. Strong selling opportunity.
- S5 / D3: CHANNEL BREAKDOWN
Bias: Strong Bearish
Signal: Ideal Trend Continuation (Down). Sell rallies.
- S5 / D4: SUPPORT CLASH
Bias: Bearish
Signal: Breakdown confirmed but facing immediate dynamic support.
- S5 / D5: HYPER DROP (VOID)
Bias: Extreme Bearish
Signal: Caution: Climax risk. Trail stops for shorts.
DISCLAIMER & EDUCATIONAL PURPOSE
This indicator is strictly an educational tool designed to visualize complex market structure concepts. Its primary purpose is to help traders "bridge the gap" between academic theory and real-time market behavior by providing a visual representation of support, resistance, and volume dynamics.
Please Note:
1. Not a Trading Strategy: This script is an analytical assistant, not a standalone "Black Box" trading system. It does not generate buy or sell signals that should be followed blindly.
2. No Financial Advice: The data provided by this tool is for informational purposes only. It is not a recommendation to buy or sell any asset.
3. Risk Warning: Trading involves significant risk. Always use your own judgment, perform your own technical analysis, and use proper risk management. Do not use this tool as the sole basis for your trading decisions.
4. Data Precision & Platform Limits: The "Intrabar (Precise)" calculation mode relies on high-resolution historical data to provide exact results. Access to this specific data depth depends entirely on your platform's subscription capabilities. If your plan does not support this level of historical intrabar data, the Precise mode may have limited coverage. In that case, you should switch to "Geometry" mode for a fully populated view.
Smart Money Volume Matrix [Ata]Smart Money Volume Matrix
The Smart Money Volume Matrix (SMV Matrix) is an advanced volume-spread analysis (VSA) dashboard and charting tool designed to identify significant market anomalies by analyzing the relationship between price extremes and volume flow.
Unlike traditional indicators that rely solely on moving averages or oscillators, this tool performs a "Snapshot Analysis" of a defined lookback period (default: 100 bars) to rank price action based on Order Flow Dominance. It isolates the Top 10 Highest and Lowest Close prices and scrutinizes the volume behind them to categorize market sentiment into four distinct phases: Distribution, No Demand, Absorption, and Exhaustion.
Core Logic & Methodology
The script operates on a Zero-Lag Snapshot Engine. It does not print historical signals bar-by-bar; instead, it evaluates the current market structure relative to the recent history (Lookback Period).
1. Ranking Engine: The script scans the lookback period to find the Top 10 Highest Closes and Top 10 Lowest Closes.
2. Volume Classification: For each ranked bar, it calculates the "Intrabar Buy/Sell Volume" (or approximates it using candle geometry if Intrabar data is unavailable).
3. Dominance Detection: It compares Buying Volume vs. Selling Volume to determine who is in control at critical price levels.
Signal Classifications (VSA Logic)
The indicator generates labels on the chart and updates the dashboard table based on the following logic:
1. At Price Tops (Resistance Areas):
- Distribution (Supply): High Price + High Total Volume + Sellers Dominant.
Interpretation: Indicates heavy institutional selling into rising prices. Often precedes a reversal.
- Buy Climax: High Price + High Total Volume + Buyers Dominant.
Interpretation: Extreme buying frenzy. While bullish, it often marks a "trap" or temporary top due to exhaustion.
- No Demand: High Price + Low Volume.
Interpretation: Prices drifted higher but lack institutional participation. A sign of weakness.
2. At Price Bottoms (Support Areas):
- Absorption: Low Price + High Total Volume + Buyers Dominant.
Interpretation: Institutional money is absorbing selling pressure (passive buying). A strong sign of accumulation.
- Panic Sell: Low Price + High Total Volume + Sellers Dominant.
Interpretation: Extreme fear. High volume at lows typically indicates capitulation and potential hands-changing.
- Exhaustion: Low Price + Low Volume.
Interpretation: Selling pressure has dried up. The market may float upward due to lack of sellers.
Key Features
- Dashboard Matrix Table:
Displays the exact Close Price, Buy/Sell Volume, and Market State (Group) for the Top 10 ranking bars.
Smart Footer: Automatically detects the active "Resistance Zone" (derived from G1 Distribution levels) and "Support Zone" (derived from G3 Absorption levels) and reports the current price status relative to these zones (e.g., "Testing Resistance", "Breakout", "At Support").
- Smart Zones (Auto S/R):
Automatically draws Support and Resistance boxes extending into the future based on the most significant volume clusters found in the rankings. Includes logic to detect "Flips" (e.g., when Support breaks, it is labeled as a flip to Resistance).
- Average Trend Channels:
Calculates a Linear Regression trend line based specifically on the coordinates of the Top 10 Highs and Top 10 Lows, providing a "Best Fit" channel for the current market structure.
- Visual Clarity:
Labels utilize a "Smart Stacking" algorithm to prevent overlap on the chart. Guide lines connect labels to their respective candles for precise identification.
Settings & Configuration
- Matrix Settings: Lookback Period (default 100 bars) and Top Rank Count.
- Volume Engine: Choose between "Intrabar (Precise)" for accurate order flow or "Geometry (Approx)" for standard volume estimation.
- Visuals: Toggle Table, Labels, Lines, Zones, and Trend Lines. Adjust transparency and font sizes.
IMPORTANT NOTE ON SNAPSHOT LOGIC
This indicator is designed as a Real-Time Dashboard. It continuously updates the "Top 10" list as new candles form. Therefore, a label that appears on a candle may disappear if that candle falls out of the Top 10 ranking or leaves the lookback window. This is intended behavior to ensure the chart always reflects the current most critical levels, rather than a historical record of past signals. It is best used for live market analysis rather than historical back testing.
Disclaimer: This tool is for educational and analytical purposes only. Volume analysis is subjective and should be used in conjunction with other methods of technical analysis.
Advanced Weis Wave Volume [Afnan]Advanced Weis Wave Volume is an enhanced upgrade of the classic Weis Wave concept. It measures accumulated volume within price swings to show where buying and selling pressure truly shift — but with one major edge: optional consolidation detection.
Most wave volume indicators simply plot bullish and bearish waves. Advanced Weis Wave Volume goes further by giving you the choice to highlight sideways or low-momentum consolidation phases, making it easy to spot when the market lacks real momentum. This helps traders instantly filter out weak, low-probability setups and focus only on the high-energy waves that truly matter.
⚙️ Key Features
Weis Wave Method – Uses ATR-based wave calculation to identify directional volume accumulation with precision.
Optional Consolidation Highlighting – You control it. Enable or disable consolidation detection based on your trading style. When enabled, it visually marks low-momentum or range-bound conditions, helping you instantly recognize when the market is consolidating.
Smart Volume Alignment – Choose to include or exclude the reversal candle's volume in new waves for more accurate readings.
Clear Visuals – Color-coded waves for Bullish (Green), Bearish (Red), and optional Consolidation (Orange) phases.
Compact Status Table – Displays the current market condition (Bullish, Bearish, or Consolidation) directly on your chart.
Flexible Display Options – Plot all waves above zero line, customize colors, and control what information you see.
💡 Why This Indicator Is Superior
✅ vs. Other Wave Volume Indicators:
Others only show waves; they can't identify consolidation. Advanced Weis Wave Volume gives you the option to enable consolidation detection — saving you time by automatically filtering weak market phases when you need it.
✅ vs. Standard Volume Bars:
Regular volume bars show isolated candle data. Advanced Weis Wave Volume shows accumulated directional pressure, revealing true trend strength and institutional activity.
✅ vs. Basic Weis Wave Indicators:
Standard Weis Wave indicators lack consolidation awareness. This indicator adds that layer of intelligence while keeping the classic wave calculation intact.
Bottom Line:
This is the only Weis Wave volume indicator that gives you control over consolidation filtering. Others show every move equally — Advanced Weis Wave Volume shows what actually matters, when you want it to.
📈 How to Use
Trading with the Waves:
🟢 Green Waves (Bullish): Building buying pressure — look for long setups.
🔴 Red Waves (Bearish): Rising selling pressure
🟠 Orange Zones (Consolidation): (When enabled) Market is ranging — avoid new trades .
Large waves: Strong trends and high-probability continuations.
Shrinking waves: Weakening momentum or possible reversal ahead.
Critical Insight - Avoiding False Volume Signals:
Large waves aren't always reliable. If you see a wave colored in orange (consolidation), it means the market was moving sideways but no real directional momentum.
This is crucial because:
❌ A big green wave in consolidation ≠ strong upside buying
❌ A big red wave in consolidation ≠ strong downside selling
✅ These are just range-bound volume accumulations that mislead traders
With consolidation detection enabled, you can instantly identify and ignore these deceptive Consolidation waves, focusing only on directional volume that actually reflects true buying or selling pressure. This prevents you from entering trades based on false volume signals during sideways markets.
📌 Practical Applications:
Breakout Confirmation: Real breakouts show expanding volume waves; false breakouts show weak waves or consolidation-marked volume.
Trend Validation: In a healthy trend, waves in the direction of the move are stronger, larger, and show clear directional color (green/red).
Consolidation Avoidance: (When enabled) Orange zones warn you to step aside and preserve capital — even if the wave looks large. Size doesn't matter if momentum is absent.
Filter False Volume: Avoid trading large waves that occur during consolidation — they don't represent genuine directional moves, just sideways accumulation.
Divergence Detection: Price makes new highs/lows, but wave volume shrinks — a sign of exhaustion or reversal.
Analyzing Ranges: During accumulation or distribution, Advanced Weis Wave Volume helps identify how institutional players are participating within the range — revealing when a breakout is likely to occur.
✨ The Competitive Advantage
Many Weis Wave indicators exist on TradingView - they all show volume waves. Only Advanced Weis Wave Volume gives you optional consolidation detection. That single feature transforms wave volume from a pure analysis tool into a flexible trading system that adapts to your style.
NSF/NBF Boxes📘 NSF / NBF Extended Boxes (Wyckoff–VSA Smart Zones)
This indicator automatically detects No Supply (NSF) and No Buying / No Demand (NBF) bars using Wyckoff–VSA principles and marks them with extended boxes and a dashed 50% midline.
🟢 NSF (No Supply) — Bullish accumulation signal
🔴 NBF (No Demand) — Bearish distribution signal
Each box extends forward in time to highlight key supply/demand zones, while the dashed midline represents the equilibrium level within that bar.
When price later retests this 50% level, the script triggers a visual marker and an alert condition, helping you spot potential reversals or continuation confirmations.
🧠 Core Features
Automatic detection of No Supply / No Demand bars
Extended boxes with adjustable length and auto-extension
Midline (50%) retest alerts for precise trade timing
Optional EMA trend filter, volume check, and close bias
Works even on symbols without volume data (crypto, indices, FX)
“Test Mode” included for easy visualization and debugging
⚙️ Usage Tips
Use on 5m–4h charts for crypto or stocks to spot professional activity.
Combine with Wyckoff, VSA, or Smart Money Concepts to confirm accumulation/distribution phases.
Look for NSF retests near support in a downtrend → possible long entry.
Look for NBF retests near resistance in an uptrend → possible short entry.
🧩 Parameters
Ignore Volume: disables volume filters for markets with missing data
Use EMA Trend Filter: only confirm signals in direction of trend
Auto-extend Boxes: keeps zones projecting into future bars
Retest Alerts: triggers when price touches midline after formation
💡 Author’s Note
This tool visualizes the often-hidden behavior of smart money absorption and weak demand exhaustion.
Use it as part of a complete trading plan — not as a standalone buy/sell signal
Deep in the Tape – VSA Educational (Invite Only)Deep in the Tape – VSA Educational (Invite-Only)
Overview
This invite-only study is built entirely on the Volume Spread Analysis (VSA) methodology developed by Tom Williams. VSA examines the interplay of volume, spread (bar range), and closing position to highlight the footprints of professional activity.
The aim of this tool is educational: to make it easier for traders to study how supply and demand pressures appear on the chart in real time. It does not generate trading advice, but instead plots markers based on classical VSA principles so students of the method can recognize strength, weakness, confirmations, and traps without the cryptic complexity often found in raw VSA study.
What It Displays
Key VSA Events (visual markers on the chart):
Stopping Volume (SV): Wide down bars with climactic volume closing off the lows.
Selling Climax (SC): Exhaustion selling at the end of a decline, often near bottoms.
Shakeout (SO): A sharp push down that springs back to close strong.
No Supply (NS): Narrow down bar on low volume, showing lack of selling pressure.
No Demand (ND): Narrow up bar on low volume, showing lack of buying interest.
Supply Coming In: Volume surge after an up-move, suggesting sellers active.
Buying Climax (BC): Wide up bar with climactic volume and weakness into the close.
Upthrust (UT): False break above prior highs with a weak close.
End of Rising Market (EoRM): Narrow up bar on very high volume, closing weak, often signaling distribution.
Test Bar: Down bar on very low volume in an uptrend, testing for lack of supply.
Contextual Tools:
Trigger Levels: High/low of ultra-high volume bars projected forward, serving as natural support/resistance levels.
Cluster Zones: Optional shading to mark zones of repeated high-volume activity (potential accumulation/distribution).
Background MA: A simple moving average for context only — not a signal generator.
Interpreting the Markers (Tom Williams Style)
Bullish Background (professional strength):
Events such as SV, SC, SO, and NS.
Best studied when price is trading above trigger levels and above the MA, showing demand in control.
Bearish Background (professional weakness):
Events such as BC, UT, Supply Coming In, and EoRM.
Best studied when price is below trigger levels and below the MA, showing supply dominance.
Multi-Timeframe Context & Market Behavior
A key principle to study with this tool is that higher-timeframe context usually outweighs signals on smaller timeframes. For example:
A short marker on a 5-minute chart often fails if the hourly background is bullish.
Likewise, a bullish signal on a small timeframe is less reliable if higher-timeframe background is bearish.
This highlights an important discipline lesson: not every small signal should be acted upon in isolation. Patience and alignment with the broader background improves study of how professional activity develops.
Channeling & Probing Behavior After Climactic Volume:
After a Stopping Volume (SV) bar on ultra-high volume, the market often enters a sideways channel between the blue (support) and red (resistance) trigger lines.
Professionals may probe the market — for example, dropping price through the lower red line on low volume to test for active sellers. If no significant supply is found, price rallies back inside the channel.
This absorption process may repeat until weakness is removed. Only then do No Supply (NS) or Test bars appear, providing stronger bullish confirmation.
The reverse applies in a bearish background, where No Demand (ND) or weakness confirmations appear after probing and absorption.
Studying these patterns helps traders recognize the probing nature of professional activity, why markets often pause after climactic signals, and how strength or weakness is confirmed over time.
Aggressive Trades (Educational Extension)
In addition to classical confirmations, this study also highlights aggressive follow-through conditions — situations where professionals act quickly after a major VSA event, before the “clean” confirmation appears.
Aggressive Longs may include:
Breakouts immediately above a Stopping Volume (SV) or Selling Climax (SC) high with strong volume.
Shakeout confirmations (price closes above the SO high on effort).
Failure of weakness (e.g., BC/UT/Supply signals that get overrun on strength).
Aggressive Shorts may include:
Confirmed follow-through after Supply Coming In.
Breakdowns after a Buying Climax (BC) or Upthrust (UT).
Shakeout failures where the rally attempt collapses.
End of Rising Market (EoRM) breaks on weakness.
These are marked separately for study. They are not “signals” but rather examples of how strength or weakness can assert itself early.
Failures (Educational Study Only)
Not all setups confirm. In VSA, Tests sometimes fail, and NS/ND bars can be absorbed. These are marked as Failure markers.
Their purpose is purely educational:
To show where expectations do not play out.
To help students see how traps or absorptions form.
To illustrate Tom Williams’ lesson that the market is a testing ground — not a perfect pattern machine.
Why It’s Original
Built directly from Tom Williams’ VSA logic — spread, volume relative to average, wick size, close location, and background context.
Adds projected trigger levels, cluster zones, and aggressive trade markers for educational context.
Designed for clarity and study, removing unnecessary complexity while staying faithful to VSA principles.
Not a mash-up of public scripts — a purpose-built framework for studying supply and demand dynamics.
Disclaimer
This script is for educational and analytical purposes only.
It does not generate buy/sell/alert signals, nor does it provide financial advice.
Always perform your own analysis and risk management before making trading decisions.
Volume Spread Analysis — Educational (VSA Study)Volume Spread Analysis — Educational (VSA Study)
Overview
This study is an educational tool built around classic Volume Spread Analysis (VSA), the methodology introduced by Tom Williams.
VSA looks at the relationship between volume, price spread, and closing position to highlight potential supply and demand imbalances.
The script is designed for learning and visual study, not for trade signals. It highlights well-known VSA events directly on the chart and adds reference lines and a colored moving average to help contextualize strength and weakness.
What It Shows
Major VSA Events: Stopping Volume (SV), Selling Climax (SC), Shakeout (SO), No Supply (NS), No Demand (ND), Buying Climax (BC), Upthrust (UT), Supply Coming In (SCI), End of Rising Market (EoRM), and Test Bars.
Trigger Lines: When a strong VSA bar appears, the script draws horizontal levels at the bar’s high and low. These act as educational “zones” where future price reactions can be studied.
Context Moving Average: A dotted MA changes color with price context (black or green when strength is confirmed, red when weakness dominates).
How It Works
Each event is identified using a blend of conditions:
Volume vs. its average
Spread vs. its average
Close location within the bar
Wick analysis (upper/lower shadows)
Short-term trend filters (5- and 10-period SMAs)
By combining these elements, the script maps chart activity to classical VSA definitions.
How to Study With It
Signs of Strength
Look for SC, SV, or SO bars.
Wait until price trades above the blue trigger line drawn from those bars.
Watch for a No Supply (NS) test bar in that zone.
Confirmation comes when the immediate next bar closes up and strong, with higher volume than the prior two bars.
The dotted MA should shift to black or green, showing supportive background strength.
Signs of Weakness
Watch for Supply Coming In, BC, or UT events.
Wait until price trades below the red trigger line.
Look for a No Demand (ND) bar in that area.
Confirmation comes when the following bar closes down and weak, with higher volume than the prior two bars.
The dotted MA should be red, reinforcing weakness.
Originality
This script was written from scratch with a focus on education and clarity. While VSA concepts themselves are public domain, the implementation here is unique:
It combines event detection, trigger zones, and a contextual MA in one framework.
It avoids acting as a trading system and instead provides a practical study workflow that traders can follow step by step.
Disclaimer
This indicator is for educational purposes only.
It does not generate buy or sell signals and should not be used as financial advice.
Trading involves risk; always perform your own analysis and risk management.
VSA Volume MonitorDescription
This script provides a clear and adaptable visual representation of volume activity, helping traders understand how current participation compares to recent norms.
It calculates a moving average of volume over a user-defined smoothing window and uses that baseline to classify each bar’s volume into several intensity levels.
Bars are color-coded to reflect these levels:
• Blue for below-average activity
• Green for moderate activity
• Yellow for above-average surges
• Red for exceptionally high or climactic volume
In addition to color-coded bars, the script plots two reference bands that represent the typical (baseline) and elevated (climactic) volume zones.
These bands form a shaded cloud that helps visually separate normal market participation from periods of unusual crowd activity or volatility.
The purpose of this indicator is purely visual and informational — it does not generate buy or sell signals, and it does not predict future price movement.
Instead, it gives traders an at-a-glance view of how market interest is shifting, so they can combine that context with their own analysis or strategy.
This tool is lightweight, easy to read, and designed for use alongside other forms of technical analysis, making it suitable for traders who want to build their own framework for understanding volume behavior.
Volume Spread Candle█ Overview
Volume Spread Candle is a Solid tool for VSA (Volume Spread Analysis).
█ Setting
please put on VSCandle above the candle chart.
█ Features
Candle color reflect volume size.
Back ground color reflect Spread size.
Warning Volume is relatively large volume compared to the Volume flow (up volume MA - down volume MA).
Yellow square mark appears when Warning volume.
Volume Density is Volume / Spread.
Yellow circle mark appears when large Volume Density.
█ Usage
Abnormal Volume and Spread hint what about to happen.
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time.
What this indicator does
Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that:
⦁ Finds accumulation/distribution ranges and tracks Phases A–E.
⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.).
⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias.
⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range.
⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters).
⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state.
It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions.
How it works (methods & calculations)
1) Range & Phase model
⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds.
⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range.
⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context.
2) Wyckoff & VSA event engine
⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps.
⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds.
3) Smart-money (CO) Strength
⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA.
⦁ Persistent accumCount / distCount counters smooth temporary noise.
4) Divergence & Effort-vs-Result
⦁ Price vs. cum volume-delta divergence highlights weakening pushes.
⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable.
5) Volume Profile (inside range)
⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves.
6) Multi-Timeframe (MTF) safety
⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na.
⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime).
7) Signals & risk model
⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context).
⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D).
⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes.
⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts.
⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam).
Inputs (key ones you’ll actually use)
⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard.
⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current).
⦁ Range Detection: period / min bars / pivot strength.
⦁ VSA: volume sensitivity & climax multiplier.
⦁ Signal Settings: minimum confidence, risk/reward labels.
⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg).
⦁ Colors: phase backgrounds, structure colors, and line styling.
How to use (practical flow)
1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context).
2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H).
3. Wait for a range to form; watch Phase and CO Strength on the Dashboard.
4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines.
5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup.
On-chart legend (what the letters mean)
Wyckoff events (labels)
⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test
⦁ Spring Spring; Test Test of Spring
⦁ SOS Sign of Strength; LPS Last Point of Support
⦁ PSY Preliminary Supply, BC Buying Climax
⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply
⦁ TS Terminal Shakeout; MS Multiple Spring
⦁ CJ Creek Jump; IJ Ice Jump
⦁ mSOS / mSOW Minor Sign of Strength/Weakness
VSA patterns (tiny labels)
⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax
⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up
⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust
Other visuals
⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles
⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area)
⦁ VWAP and Dynamic S/R (stepline)
⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met)
⦁ Risk label near the triangle: confidence /10 and R:R
Alerts included
⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown.
Notes, limits & best practices
⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria.
⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this.
⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation.
⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered.
Changelog (what’s new in this version)
⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results).
⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits.
⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly.
⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise.
⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod).
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
VSA Super Candles
🎯 Overview
This Pine Script was developed for VSA (Volume Spread Analysis) with a well-defined hierarchical priority system. The code identifies different types of market events based on volume, spread, and price behavior, painting candles with specific colors according to their importance.
🏗️ System Architecture
Priority System (Hierarchical)
🔴 Climatic Event (Red) - Maximum Priority
🟠 Big Boss (Orange) - Second Priority
🟣 Compression (Purple) - Third Priority
⚫ Normal (Gray) - Lowest Priority
📊 Event Types
🔴 Climatic Event (Red)
Characteristics:
Ultra-high volume (default: 310% of average)
Wide spread (above configured threshold)
"Wrong" close (opposite to bar direction)
Specific conditions:
Up bar that closes at low (Selling Climax)
Down bar that closes at high (Buying Climax)
VSA Concept: Represents extreme exhaustion of one side of the market, usually marking important reversal points.
🟠 Big Boss (Orange)
Characteristics:
Ultra-high volume (default: 250% of average)
Significant price displacement
Wide spread with real movement of candle body
Activated only when there's no Climatic Event
VSA Concept: Massive volume generating real displacement, indicating entry/exit of large players.
🟣 Compression (Purple)
Characteristics:
Average volume (between normal and high)
Signs of exhaustion or reversal
Differential: Horizontal volume analysis
Activation conditions:
Upthrust (higher high, closes down)
Minor selling climax (lower low, closes up)
Horizontal volume spike + average volume
VSA Concept: Support/resistance test with controlled volume, frequently precedes important movements.
⚫ Normal (Gray)
Characteristics:
Normal volume (default: 50% of average)
Normal displacement or automatic price exhaustion
Auto-activation: Detects exhaustion even with normal volume
🛠️ Technical Components
Storage Buffers
var bool buffer_climatico = array.new_bool()
var bool buffer_big_boss = array.new_bool()
var bool buffer_comprimido = array.new_bool()
var bool buffer_normal = array.new_bool()
Store event history
Limited to 100 values for optimization
Allow posterior statistical analysis
Horizontal Volume Analysis
Compares current volume with average of last 5 bars
Configurable multiplier factor (default: 1.5x)
Impact: Increases probability of identifying compressions
Automatic Exhaustion System
Up Exhaustion: Higher high + close lower than previous
Down Exhaustion: Lower low + close higher than previous
Works independently of volume
⚙️ Configurable Parameters
Parameter Default Description
Volume Average Length 60 Period for volume average
% Climatic Event 310% Threshold for climatic volume
% Big Boss 250% Threshold for Big Boss volume
% Normal Volume 50% Threshold for normal volume
Spread Threshold 0.7 Multiplier for wide spread
Close Position Threshold 0.3 Limit for "edge closes"
Horizontal Volume Factor 1.5 Multiplier for horizontal spike
📍 Visual Markers
Chart Symbols
🔴 Climatic Event: Red circles above/below bars
🟠 Big Boss: Orange circles indicating direction
⬆⬇ Compression: Purple arrows for reversals
H Horizontal Compression: Marks differentiated horizontal volume
Statistics Table
Position: Top right corner
Content:
Count of each event type (last 50 bars)
Current volume vs. average ratio
Update: Real-time on last bar
🎨 Color System
final_color = evento_climatico ? color.red :
big_boss ? color.orange :
comprimido ? color.purple :
vela_normal ? color.gray :
color.gray
Logic: The first true condition defines the color, respecting priorities.
🔄 Execution Flow
Basic Calculations: Average volume, spread, close position
Horizontal Analysis: Comparison with previous bars
Exhaustion Detection: Identification of reversal patterns
Priority Application: Sequential evaluation (Climatic → Normal)
Storage: Buffer updates
Visualization: Bar coloring and markers
📈 Implemented Improvements
Code Organization
Detailed comments in each section
Descriptive variable names
Clear and sequential IF/ELSE logic
Separation by functionality
Performance
Buffers with automatic cleanup
Optimized calculations
Limited history control
Advanced VSA Functionality
Hierarchical priority system
Horizontal volume analysis
Automatic exhaustion detection
Multiple types of climatic events
Usability
Configurable parameters
Real-time visual feedback
Performance statistics
Intuitive markers
🎓 Applied VSA Concepts
Volume Spread Analysis
Principle: Relationship between Volume, Spread, and Close reveals market intentions
Implementation: Each event type represents a specific VSA scenario
Smart Money vs. Retail
Climatic Event: Retail exhaustion, Smart Money entry
Big Boss: Direct Smart Money movement
Compression: Controlled testing/accumulation
Wyckoff Method
Absorption: Identified in compressions
Distribution/Accumulation: In climatic events
Mark-up/Mark-down: In Big Boss events
🚀 How to Use
Add the script to your TradingView chart
Configure parameters according to your timeframe and asset
Observe bar colors to identify events
Use markers for additional confirmation
Monitor the table for real-time statistics
📝 Important Notes
Script strictly respects priority hierarchy
Higher priority events always prevail
Horizontal analysis differentiates special compressions
Automatic exhaustion system captures subtle reversals
Performance optimized for real-time use
🔧 Installation
Open TradingView Pine Editor
Copy and paste the complete script
Click "Add to Chart"
Adjust parameters in the settings panel
Save to your indicator library
📊 Trading Applications
Entry Signals
Climatic Events: Look for reversal confirmations
Big Boss: Follow the displacement direction
Compression: Watch for breakouts after testing
Risk Management
Use event hierarchy to gauge market strength
Higher priority events suggest stronger moves
Normal events may indicate consolidation periods
Market Context
Trending Markets: Big Boss events show continuation
Range-bound Markets: Compressions at key levels
Reversal Points: Climatic events at extremes
🤝 Contributing
This script follows VSA principles and can be enhanced with:
Additional timeframe analysis
Alert system for key events
Backtesting capabilities
Custom color schemes
Version: Pine Script v6
Compatibility: TradingView
Author: Victor Eduardo Americo
[AlbaTherium] Wabi-Sabi Wyckoff Flow Structure Map MTF[1.0.42] Wabi-Sabi Wyckoff Flow Structure Map
Master the Hidden Geometry of Market Campaigns – Accumulation, Distribution, and the Laws That Govern Them
Introduction
The Wabi-Sabi Wyckoff Flow Structure Map is a software-engineered analytical framework that visualizes the flow of institutional market behavior through the lens of the Wyckoff Method. This tool automates the detection of trading ranges, maps the phases of accumulation/distribution, and extrapolates price objectives .
The Wabi-Sabi Wyckoff Flow Structure Map is a meticulous implementation of the principles of Richard D. Wyckoff , interpreted through the lens of market structure and volume dynamics. This tool aims to identify, contextualize, and map out accumulation and distribution zones by interpreting the composite operator's intended path in financial markets.
It is not merely an indicator-it is a structural compass, guiding you through the architecture of smart money campaigns.
Chapter 1: The Architecture of Market Campaigns
1.1 From Noise to Narrative
Markets do not move randomly. They are orchestrated campaigns-methodically executed by informed operators. The identifies these campaigns as they unfold across:
Accumulation
Markup
Distribution
Markdown
Each is grounded in Wyckoff’s structural logic and revealed in real time.
1.2 Who Is the Composite Operator, Composite Man?
The Composite Operator (CO), Composite Man (CM) represents dominant market participants-institutions with the capacity to engineer price movement. By dissecting trading ranges, the script deciphers their behavior through:
Event-based mapping (SC, ST, Spring, AR, UTAD, etc.)
Phase progression (Phase A to E)
PnF-based directional forecasting
The CO leaves footprints. This script reads them.
Chapter 2: Wyckoff’s Core Laws, Brought to Life
2.1 The Law of Supply and Demand
Every price bar reflects this law. The tool highlights where supply is absorbed and demand emerges, revealing the true balance of power behind the chart.
2.2 The Law of Cause and Effect
Accumulation and distribution ranges are not noise-they are preparation. By measuring their width, the script calculates PnF-based targets for the post-breakout phase, offering traders quantified projections rooted in structure.
2.3 The Law of Effort vs. Result
Effort = volume.
Result = price movement.
Discrepancies between the two-expose market turning points.
This script captures those moments within Wyckoff's structural context, not isolated volume spikes.
Chapter 3: Real-Time Interpretation of Trading Ranges
3.1 Automatic Schematic Mapping
The tool auto-generates Wyckoff structures:
Detects and maps Trading Ranges dynamically
Labels Wyckoff events (SC, ST, AR, Spring, UT, LPS, etc.)
Identifies current phase (Phase B, C, D, E) via real-time bias detection
3.1.1.Core Components
a. Structural Framing
The script autonomously detects the boundaries of a trading range (TR), guided by pivot highs and lows derived from Volume Spread Analysis (VSA) dynamics and price behavior.
b. Automatic Rally (AR) & Selling Climax (SC)
These foundational events are systematically computed and highlighted using volume-weighted price interaction. The Selling Climax defines the lower bound of the TR, while the Automatic Rally sets the resistance zone.
c. Secondary Tests (ST)
The algorithm traces the STs to validate demand/supply balance and the structural integrity of the TR. These are tagged with precision to avoid false positives.
d. Spring / Upthrust Actions
Wyckoffian springs and upthrusts are flagged using deviations below support (spring) or above resistance (upthrust) coupled with volume exhaustion or climax events.
e. Creek & Ice Visualization
Inspired by Wyckoff’s narrative metaphor, the script maps the 'Creek' (High of the Range flow) and 'Ice' (Low of the Range flow), guiding the observer through breakout or breakdown conditions.
f. Sign of Strength (SOS) / Sign of Weakness (SOW)
These turning points are confirmed via expansion in spread and volume. SOS is a bullish confirmation of accumulation resolution, while SOW indicates bearish continuation.
g. LPS & LPSY
The Last Point of Support (LPS) and Last Point of Supply (LPSY) are precisely mapped post-confirmation of breakout or breakdown. Their presence strengthens the bias of the ongoing structural phase.
h. Phase Annotation
Each zone within the TR is annotated based on Wyckoff’s five-phase logic (A to E). This includes climactic action in Phase A, testing in Phase B, spring/UTAD in Phase C, confirmation in Phase D, and exit in Phase E.
3.2 Multi-Timeframe Tracking
Observe the interplay of nested structures across several timeframes. Whether you’re tracking a micro accumulation on 1-min or macro distribution on the 1H, the script integrates both for a full-spectrum view.
3.3 Point-and-Figure Price Targeting
Using Wyckoff’s Law of Cause and Effect, the tool projects price targets based on the range width. Outputs are displayed directly on the chart, aiding in:
Profit-taking zones
Invalidations
R/R planning with structure-based confidence
Chapter 4: Applying Like a Wyckoffian
4.1 Configuration Best Practices
Timeframes: 1–5min for tactical intraday, 15min–4H for swing campaigns
Detection Radius: Control how deep the script searches for structural pivots
Modes: Choose between Delta (volume shifts) and Normal (price formations)
4.2 Dashboard & Event Tracker
The Bias Dashboard displays:
The current dominant phase (e.g. “Phase C Test” or “Late Phase D”)
Key events (AR, ST, Spring, LPS)
Whether current price action supports a continuation or Climax
4.3 Alerts and Customization
Configure alerts to monitor:
New TR detection across up to 6 timeframes
Key structural events like Spring, UTAD, or SOS
Completion of cause zones with target projection triggered
Chapter 5: Use Cases and Strategic Implementation
5.1 Spotting Reversals Before the Breakout
Use the script to:
Enter near Springs (accumulation) or UTADs (distribution)
Identify retests as Last Points of Support/Resistance
Confirm or invalidate breakout attempts using the schematic context
5.2 Confirming Institutional Engagement
Recognize institutional footprints through:
Multiple STs (Testing for supply)
Strong SOS, SOW / LPS combinations
Absence of follow-through = Absorption
The Flow Map helps distinguish retail chase from professional intent.
Conclusion
The Wabi-Sabi Wyckoff Flow Structure Map is an elite market structure decoder for traders who operate on logic, not emotion. Grounded in Wyckoff’s time-tested methodology and enhanced with modern automation, it transforms the invisible structure of price action into a readable, tradeable roadmap.
“Structure precedes movement. Those who read structure, anticipate motion. Those who chase motion, miss the meaning .
”
- A Wyckoffian Principle
This tool is for traders who understand that preparation is where profits are born-not during the move, but before it."
VSA Auto Signals by ZeeshanThis indicator automatically marks VSA signals (ND, NS, UT, SO) on the chart, filters them with trend + ATR logic, and provides a clean dashboard with alerts for quick decision-making.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
Most Volume Candle LevelsThe script finds the candlestick with the maximum volume in the specified period (20 bars by default).
Draws levels on high and low of this candlestick.
You can set the color of the lines (yellow by default).
Cycle Theory + Frequency TheoryCycle Theory attempts to predict, through volatility, support/resistance points where the market may reach/reverse a trend. This theory's calculation is based on a reference candle that the user chooses, usually the first candle of the day/week's session. From this point on, if the level is broken upwards or downwards, the 1st Cycle begins with the same distance between the high/low or open/close of the reference candle. From the 2nd Cycle onwards, the size becomes the sum of all the last cycles formed, and so on.
Frequency Theory is similar, but its levels always have the same size as the high/low or open/close of the reference candle.
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
Weis Wave Max█ Overview
Weis Wave Max is the result of my weis wave study.
David Weis said,
"Trading with the Weis Wave involves changes in behavior associated with springs, upthrusts, tests of breakouts/breakdowns, and effort vs reward. The most common setup is the low-volume pullback after a bullish/bearish change in behavior."
THE STOCK MARKET UPDATE (February 24, 2013)
I inspired from his sentences and made this script.
Its Main feature is to identify the largest wave in Weis wave and advantageous trading opportunities.
█ Features
This indicator includes several features related to the Weis Wave Method.
They help you analyze which is more bullish or bearish.
Highlight Max Wave Value (single direction)
Highlight Abnormal Max Wave Value (both directions)
Support and Resistance zone
Signals and Setups
█ Usage
Weis wave indicator displays cumulative volume for each wave.
Wave volume is effective when analyzing volume from VSA (Volume Spread Analysis) perspective.
The basic idea of Weis wave is large wave volume hint trend direction. This helps identify proper entry point.
This indicator highlights max wave volume and displays the signal and then proper Risk Reward Ratio entry frame.
I defined Change in Behavior as max wave volume (single direction).
Pullback is next wave that does not exceed the starting point of CiB wave (LH sell entry, HL buy entry).
Change in Behavior Signal ○ appears when pullback is determined.
Change in Behavior Setup (Entry frame) appears when condition of Min/Max Pullback is met and follow through wave breaks end point of CiB wave.
This indicator has many other features and they can also help a user identify potential levels of trade entry and which is more bullish or bearish.
In the screenshot below we can see wave volume zones as support and resistance levels. SOT and large wave volume /delta price (yellow colored wave text frame) hint stopping action.
█ Settings
Explains the main settings.
-- General --
Wave size : Allows the User to select wave size from ① Fixed or ② ATR. ② ATR is Factor x ATR(Length).
Display : Allows the User to select how many wave text and zigzag appear.
-- Wave Type --
Wave type : Allows the User to select from Volume or Volume and Time.
Wave Volume / delta price : Displays Wave Volume / delta price.
Simplified value : Allows the User to select wave text display style from ① Divisor or ② Normalized. Normalized use SMA.
Decimal : Allows the User to select the decimal point in the Wave text.
-- Highlight Abnormal Wave --
Highlight Max Wave value (single direction) : Adds marks to the Wave text to highlight the max wave value.
Lookback : Allows the User to select how many waves search for the max wave value.
Highlight Abnormal Wave value (both directions) : Changes wave text size, color or frame color to highlight the abnormal wave value.
Lookback : Allows the User to select SMA length to decide average wave value.
Large/Small factor : Allows the User to select the threshold large wave value and small wave value. Average wave value is 1.
delta price : Highlights large delta price by large wave text size, small by small text size.
Wave Volume : Highlights large wave volume by yellow colored wave text, small by gray colored.
Wave Volume / delta price : highlights large Wave Volume / delta price by yellow colored wave text frame, small by gray colored.
-- Support and Resistance --
Single side Max Wave Volume / delta price : Draws dashed border box from end point of Max wave volume / delta price level.
Single side Max Wave Volume : Draws solid border box from start point of Max wave volume level.
Bias Wave Volume : Draws solid border box from start point of bias wave volume level.
-- Signals --
Bias (Wave Volume / delta price) : Displays Bias mark when large difference in wave volume / delta price before and after.
Ratio : Decides the threshold of become large difference.
3Decrease : Displays 3D mark when a continuous decrease in wave volume.
Shortening Of the Thrust : Displays SOT mark when a continuous decrease in delta price.
Change in Behavior and Pullback : Displays CiB mark when single side max wave volume and pullback.
-- Setups --
Change in Behavior and Pullback and Breakout : Displays entry frame when change in behavior and pullback and then breakout.
Min / Max Pullback : Decides the threshold of min / max pullback.
If you need more information, please read the indicator's tooltip.
█ Conclusion
Weis Wave is powerful interpretation of volume and its tell us potential trend change and entry point which can't find without weis wave.
It's not the holy grail, but improve your chart reading skills and help you trade rationally (at least from VSA perspective).
Candle Spread
Candle Spread is an indicator that helps traders measure the range of price movement within each candle over a specified time period. It calculates the range of the candle between the High and Low (High - Low) and displays it in a separate window below the chart as columns.
Key Features:
Colored Bars: The bars are colored based on the candle's direction:
Bullish Candle: Bars are Green.
Bearish Candle: Bars are Red.
Moving Average: The indicator includes a 30-period Simple Moving Average (SMA), which represents the overall average range of the candles.
Helps Identify Market Volatility: This indicator helps traders identify wide-range candles (signaling high volatility in the market), which could indicate a surge in momentum or potential trend reversals.
Advanced Volume-Driven Breakout SignalsThe "Advanced Volume-Driven Breakout Signals" indicator is a cutting-edge tool designed to help traders identify high-potential trading opportunities through sophisticated volume analysis techniques. This indicator integrates volume flow analysis, moving averages, and Relative Volume (RVOL) to provide a comprehensive view of market conditions, going beyond traditional Volume Spread Analysis (VSA) methods.
Key Features:
Volume Flow Analysis: Distinguishes bullish and bearish volume flows with distinct colors, making it easier to visualize market sentiment and potential breakout points.
Volume Flow Moving Averages: Calculates moving averages for volume using various methods (SMA, EMA, WMA, HMA, VWMA), accommodating different trading strategies. This includes settings for adjusting the type of moving average and its period, as well as thresholds for high, medium, and low volume levels.
Volume Spikes Detection: Identifies significant volume spikes based on user-defined multipliers and moving averages, highlighting unusual trading activity.
Volume MA Cloud Settings: Computes general moving averages of volume to track trends and detect deviations. This feature includes options to select different moving average types and adjust thresholds for detecting high volume activity.
Relative Volume (RVOL): Measures current volume relative to historical averages, triggering signals when RVOL exceeds predefined thresholds, indicating notable changes in trading activity.
Entry Conditions: Provides clear long and short entry signals based on combined volume flow conditions and RVOL, offering actionable trading opportunities.
Volume Visualization:
— Bullish Volume Flow: Light and dark green bars indicate bullish volume flow.
— Bearish Volume Flow: Light and dark red bars denote bearish volume flow.
— High Volume Bars: Highlighted in yellow, and extreme volume bars in orange for additional context. These bars are plotted for visual aid and do not directly influence trade signals, focusing instead on the quality and strength of the volume flow.
Alerts: Allows users to create alert notifications for long and short entry signals when the criteria are met, enabling traders to respond promptly to trading opportunities.
Usage:
Overlay: Apply the indicator directly to your price chart to visualise real-time signals and volume conditions.
Customisable: Adjust settings for moving averages, RVOL, and other parameters to match your trading strategy and preferences.
Comparison to VSA Scripts: The "Advanced Volume-Driven Breakout Signals" indicator extends beyond traditional VSA scripts by incorporating a wider range of analytical features. While VSA primarily focuses on volume spread patterns and price action, this indicator offers enhanced functionality with advanced RVOL metrics, customizable moving averages, and detailed volume spike detection, making it a more versatile tool for identifying breakout opportunities and managing trades. It is particularly effective when used alongside key levels and order blocks.
Acknowledgements: Special thanks to @oh92 and @goofoffgoose for their invaluable scripts, which served as inspiration in the development of this advanced trading indicator.
Notes: The script is continually evolving, with ongoing refinements aimed at enhancing accuracy and performance.
Decoding the Volume of candlesThe indicator is designed for traders who are more interested in market structures and price action using volumes. Volume analysis can help traders build a clearer understanding of zones of buyer and seller interest, as well as liquidity gathering points (traders' stop levels).
Key Features:
The indicator visualizes on the chart the volumes selected according to the trader's chosen settings.
The indicator highlights candle volumes in selected colors, where the volume is greater individually than the volumes of the trader's chosen number of preceding candles. Or the volume that is greater than the sum of volumes of the trader's chosen number of preceding candles.
The indicator mark selected volumes on the chart based on the type of candle. The candle type (1, 2, or 3) is determined by its result (close) relative to other candles.
Volume marked for a type 3 candle draws the trader’s attention to the lack of results from the applied volume compared to the previous candle, indicating potential weakness of the candle’s owner. This is especially important in buyer or seller context areas.
Volume marked for a type 2 candle highlights the presence of results from the applied volume but only relative to the previous candle. In buyer or seller context areas, this can signal weakness of the candle’s owner.
Volume marked for a type 1 candle signals a strong result from the applied volume, indicating potential strength of the candle’s owner.
The marking of volumes can be displayed either on the main chart or on the volume chart, depending on the trader's preference. Colors and symbols for marking can be customized on the Style tab.
Volumes can be filtered on both the volume chart and the main chart according to their marking. This feature can be useful, for example, for traders who don’t work with signs of buyer or seller weakness. In such cases, they can filter out volumes only for type 1 candles.
Good luck exploring the impact of volumes on price behavior!
VPSA - Volume Price Spread AnalysisDear Analysts and Traders,
I am pleased to present the latest version of my indicator, based on the logic of analyzing spread and volume. In this version, the indicator examines spread and volume using min-max normalization. The statistical value is captured through Z-Score standardization, and I have added configurable alerts based on the normalized values of spread, volume, and the sigmas for these variables.
Theory and Evolution of the Indicator
The normalization function used in this program allows for the comparison of two values with different ranges on a single chart. The values that reach the highest within the examined range are assigned a value of one. As in previous versions, I have adopted a bar chart where the wider bar represents volume and the narrower bar represents spread. I believe that using normalization is the most intuitive approach, as the standardization in the earlier sVPSA version could cause confusion. This was due to smaller bars for higher actual values and negative bars, which required additional reliance on actual volume data and significant proficiency in using the indicator. These were limitations stemming from the computational aspect of these issues. As in the previously mentioned script, I also used Z-Score standardization here, which serves as a measure of deviation from the mean. This is visualized in the script as the color of the bars, which in the default configuration are as follows: below one sigma - blue; above one sigma up to two sigmas - green; above two sigmas up to three sigmas - red; and above three sigmas - fuchsia. Additionally, I applied an exponential moving average in this indicator to minimize the influence of older candles on the mean. The indicator has been enhanced with configurable alerts, allowing for substantial control over the conditions triggering them. The alerts enable the definition of normalized variable values and sigma values. Furthermore, the program allows for the definition of logical dependencies for these conditions.
Summary
The program I have developed is a synthesis of the most important and useful functions from the indicators I previously created. The indicator is a standalone and powerful tool that facilitates effective analysis of the spread-volume relationship, which is one of the fundamental methods of analysis according to the Wyckoff and VSA methodologies. The alerts introduced in this version provide extensive possibilities for controlling the dynamics of any market.
Should you encounter any errors or have suggestions regarding the indicator, please feel free to contact me.
I wish you successful analyses! All the best!
CatTheTrader
