TetraTrend Engine [MarkitTick]💡 The TetraTrend Engine is an advanced, multifaceted overlay indicator designed to provide traders with a comprehensive view of market structure, trend direction, and institutional liquidity levels. By capturing and freezing critical moving average data at a user-defined moment in time, it transforms lagging indicators into static support and resistance frameworks. Furthermore, it integrates a sophisticated Multi-Timeframe (MTF) confluence matrix, ADX-based chop filtering, and dynamic position sizing, making it a complete suite for methodical trade execution. Please note that if applied to non-standard charts (like Heikin Ashi or Renko), the script's calculations may repaint.
✨ Originality and Utility
Standard moving averages constantly adjust to new price data, which is useful for trailing trends but less effective for identifying historical break-and-retest zones. This script introduces a novel "Freeze Point" mechanic. At a specific, fixed date and time, the engine captures the exact values of four distinct moving averages and the Average True Range (ATR). These values are then projected forward as horizontal levels, creating a persistent architectural map of the market based on a fundamental historical event (like an earnings report, macroeconomic news release, or structural pivot). Combined with an Auto-Anchored VWAP that automatically initiates from this exact freeze date, it offers a highly unique, institutional-grade perspective on volumetric average price versus static historical momentum.
🔬 Methodology and Concepts
● Core Trend Identification
The indicator calculates four separate moving averages, with default lengths of 20, 50, 100, and 200.
Users can toggle the calculation method between Simple (SMA), Exponential (EMA), Weighted (WMA), and Volume-Weighted (VWMA) moving averages.
● The Freeze Engine
A timestamp is set by the user (defaulting to a specific date like "2025-12-31 23:59").
Once the market time crosses this threshold, the script triggers a state where calculations are locked.
It records the exact values of the four MAs and the 14-period ATR at that exact candle.
● Institutional Confluence and Risk Matrix
The script checks higher timeframe (HTF) trend alignment using a primary HTF filter (defaulting to Daily).
An optional MTF Matrix requires alignment across three custom timeframes (e.g., 240m, Daily, Weekly) before validating any bullish signals.
It incorporates an ADX threshold (default 20.0) to filter out choppy, ranging markets, ensuring signals are only generated during periods of active momentum.
🎨 Visual Guide
● Chart Overlays and Lines
MA 1 (Length 20): Plotted in bright Cyan (#00E5FF).
MA 2 (Length 50): Plotted in Teal (#14B5CB).
MA 3 (Length 100): Plotted in Royal Blue (#2979FF).
MA 4 (Length 200): Plotted in Purple (#AA00FF).
Freeze Marker: A vertical line (default Dashed, colored Gray/Blue) denotes the exact moment the historical levels were captured.
Anchored VWAP: If enabled, an Orange line (#FFB74D) plots the volume-weighted average price starting precisely from the Freeze Marker.
● Dynamic Liquidity Zones
If enabled, semi-transparent shaded bands appear around Frozen Level 1 and Frozen Level 4.
These bands represent a distance of 0.5 * Frozen ATR, illustrating expected volatility boundaries at the time of the freeze.
● Analytics Dashboard
A heads-up display table is drawn in the top-right corner, displaying a dark theme with blue/gray borders.
It lists the HTF Trend Status (Bullish in Green, Bearish in Red).
It displays the current Market State (Trending/Active vs. Chop/Low Vol) based on the ADX.
It shows current Volatility (ATR) and ADX Strength.
If enabled, it outlines the MTF Matrix Status and the mathematically calculated Dynamic Position Size.
● Signal Shapes and Labels
A green triangle pointing up (#00E676) plots below the bar when a valid Long signal is generated.
Dynamic labels attach to the right side of the frozen levels, constantly updating to show the MA length and exact price level.
📖 How to Use
● Setting the Anchor
Identify a major market event on your chart (a swing high/low, a CPI data release, or a sudden volume spike).
Open the settings and input the exact date and time of this event into the "Fixed Date/Time (Freeze Point)" input.
● Interpreting Signals
Wait for the market to interact with the freshly drawn horizontal frozen levels.
A valid Long signal (Green Triangle) will only trigger if: the price crosses above Frozen Level 1, the HTF trend is bullish, the market is not ranging (ADX > threshold), and the optional MTF matrix is fully aligned.
Monitor the Analytics Dashboard table to ensure the broader market environment supports the trade setup.
⚙️ Inputs and Settings
• Moving Average Settings
Length 1 through 4: Adjust the lookback periods for the core trend calculation.
MA Type: Dropdown to select the mathematical smoothing method (SMA, EMA, WMA, VWMA).
• Advanced Filters & Risk
Primary HTF Filter: Determines the baseline higher timeframe to establish the primary trend direction.
ADX Chop Filter Threshold: Sets the minimum ADX value required to consider the market "trending" rather than "ranging".
Risk/Reward Ratio: A multiplier used to automatically calculate Take Profit 1, 2, and 3 targets based on the dynamically calculated Stop Loss distance.
• Institutional Features (Optional)
Enable Auto-Anchored VWAP: Anchors a VWAP strictly starting from the chosen Freeze Date.
Enable MTF Confluence Matrix: Requires alignment across three separate, user-defined timeframes.
Enable Dynamic Position Sizing: Inputs for Account Size ($) and Risk Per Trade (%). The script uses the ATR-based stop loss to output exact contract/share sizing required to maintain strict risk parameters.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The TetraTrend Engine leverages several established quantitative and statistical concepts to derive its signals. Moving averages serve as low-pass filters, dampening high-frequency market noise to reveal the underlying directional component of the time series. By capturing these values statically at a user-defined vector (the Freeze Point), the script transitions from dynamic time-series analysis to fixed architectural support/resistance theory, positing that historical mean values at critical temporal nodes retain psychological and institutional relevance.
Furthermore, the integration of the Average Directional Index (ADX) relies on the statistical measurement of trend velocity and momentum dispersion. The ADX component acts as a volatility gatekeeper, mathematically ensuring that the standard deviation of directional movement exceeds a baseline threshold before capital is deployed. Position sizing calculations utilize the Average True Range (ATR)—a measure of absolute price dispersion—to dynamically scale risk exposure inversely to market volatility, ensuring normalized risk parity across varied market environments.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Average Volatility ZonesDisplays the average volatility range directly on the chart as horizontal levels projected from the current period's open.
The indicator calculates the average candle size (High-Low or True Range) over a configurable period and timeframe (default: Daily, 20 bars), then draws upper and lower lines at that distance from the current timeframe open — showing how far price typically moves within one period.
Key features:
- Multi-timeframe support — measure volatility from any timeframe (M15 to Monthly)
- Scalable levels — optional 2x, 3x, and custom multiplier levels for extended volatility zones
- Zone mode — converts lines into shaded bands based on a percentage of the average volatility
- Automatic pip detection for forex pairs (supports 5-digit and 3-digit brokers)
- Each level is labeled with its timeframe, period, and value in pips
- Fully customizable colors, line styles, label positioning, and zone transparency
Useful for gauging intraday range potential, setting realistic targets, identifying overextended moves, and filtering entries near volatility extremes. Indicator
Fibonacci Clusters | ProjectSyndicateFibonacci Clusters automatically identifies and power-ranks high-probability Fibonacci confluence zones by clustering retracement levels from dozens of recent swing pairs. It filters for quality, calculates a strength score for every zone based on how many distinct swing pairs agree on that price, and presents all data on the chart and in a comprehensive dashboard to eliminate clutter and focus on levels that matter.
• 🎯 True Confluence Engine — every cluster's strength score is the number of distinct swing pairs that contribute a Fibonacci level to that zone. A strength of 6 means 6 independent swings all confirm the same price area.
• 🎨 Strength-Based Color Scheme — zones are colored by their confluence score: Elite (>=6 pairs), Strong (4-5 pairs), and Medium (2-3 pairs). Stronger zones get brighter, more prominent colors for immediate visual hierarchy.
• 🧠 Smart Swing-Pair Clustering — automatically detects up to 15 recent swing highs and 15 swing lows, pairs them up, and runs the confluence engine on all their Fibonacci retracement levels (0.236, 0.382, 0.500, 0.618, 0.786, 1.000).
• 📈 Fixed Extension Zones — plots four key extension levels (1.130, 1.270, -0.130, -0.270) from the single most dominant swing pair, providing clear structural targets above and below the main cluster range.
• 🧭 Full Dashboard Display — provides a complete market overview, including the current trading session, volatility state (based on ADR), and a two-column list of all active cluster zones and extension levels above and below the current price, with their strength and distance.
• 🔔 Comprehensive Alerts — get a simple alert whenever a new swing high or low is confirmed, signaling that the cluster map has been updated.
• ✅ Quality Control Filters — user-configurable inputs for swing detection length, minimum swing range (as a multiple of ATR), cluster tolerance (as a multiple of ATR), and minimum cluster strength allow for deep customization to match any trading style.
• 🔧 Fully Customizable — control everything from the max number of clusters shown and zone height to the text size of all labels and dashboard elements.
• 🎯 Why this algo is unique: Standard Fibonacci indicators either show levels from one arbitrary swing or flood the chart with dozens of lines from every swing. This algorithm intelligently filters, clusters, and ranks them. It doesn't just show you where Fibonacci levels are, it quantifies how strong the confluence is at that price, giving you a clear edge. You instantly see which zones have a proven history of being respected by multiple, independent market moves.
• 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The ATR-based tolerance and separation settings allow it to adapt to anything from scalping to swing trading.
• 🎯 How to use this? Focus on trading opportunities around high-strength Elite zones (rated 6+ pairs) as these have the highest probability of producing a significant reaction. Use the dashboard to quickly identify the most immediate zones and the alerts to know when the map has refreshed.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability Fibonacci confluence zones. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Indicator
Statistical FVG | ProjectSyndicateStatistical FVG automatically identifies Fair Value Gaps, filters them by session Asian, London, NY, and presents a live statistical dashboard quantifying the historical performance of every FVG type. It transforms the subjective FVG pattern into a purely objective, data-driven trading tool.
🧠 Live Statistical Dashboard — The core of the indicator. This is not a static score. The dashboard displays the live, data-driven statistics for both Bullish and Bearish FVGs, including the Win Rate, Probability of Touch, Average Win/Loss Bars, R:R Ratio, Sample Size, and the critical Expected Value (EV). This gives you an instant, quantifiable edge.
🎯 Session-Specific Edge — The engine's most powerful feature. It doesn't just find FVGs; it categorizes them by the session in which they formed Asian, London, or New York. The dashboard allows you to see if, for example, Bearish FVGs from the New York session have a historically higher win rate and EV than those from the Asian session, allowing you to focus only on the highest-probability setups.
🎨 Normalized & Extended Zones — Eliminates visual noise from inconsistent FVG sizes. This feature forces every FVG zone to a uniform, clean height. It also extends the zones far into the future until they are mitigated, ensuring you never miss a reaction to a key level.
📊 Historical Zone Plotting — Mitigated doesn't mean forgotten. A toggleable option allows you to see all past, mitigated FVGs as faded, non-intrusive zones on your chart. This provides a complete historical footprint of where the market has reacted, allowing for deeper analysis of legacy price structures.
✅ Full-History Accumulator — The statistical engine's credibility comes from its depth. On every bar, it simulates the outcome of every valid FVG across the chart's full history, constantly feeding the win/loss accumulator. The stats you see are robust and based on a large sample size — not just the last few signals.
🔧 Fully Customizable — Control every aspect of the engine, including the TP/SL ATR ratios used for the statistical calculations and the colors/visibility of Bullish, Bearish, and Historical FVG zones.
🔬 Why this algo is unique: Standard FVG indicators are subjective — they just draw boxes on a 3-candle imbalance with no statistical proof of edge. The Manus FVG Stats Engine transforms this common pattern into an objective, quantitative trading instrument. It doesn't just show you an FVG; it shows you the historical performance and statistical probability of that FVG type working out, broken down by session, based on thousands of back-tested examples on the exact chart you are viewing.
🌐 Apply to Gold (XAUUSD), Indices (US30, NAS100), Forex Majors, and Crypto on M5, M15, or H1 timeframes. The engine is designed for intraday assets and timeframes that exhibit clear FVG structures and respect liquidity dynamics.
🗂️ How to use this? The most critical metric is the Expected Value (EV) on the dashboard. A positive EV for a specific FVG type e.g., Bullish NY/London indicates a statistical edge over the long term. Consider only taking trades from FVG types with a positive EV and a Win Rate that aligns with your risk tolerance. For higher-probability setups, align your trades with the prevailing higher-timeframe trend.
⚙️ IMPORTANT NOTICE: This indicator is a professional-grade tool designed to identify a statistical edge. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk. Indicator
Indicator
Rolling Trendline [LuxAlgo]The Rolling Trendline indicator provides a dynamic, self-adjusting trendline that tracks price action using linear regression slope projections and automatically resets when price deviates beyond a specific threshold.
🔶 USAGE
The indicator is designed to provide a continuous trend bias without the "lag" often associated with static linear regression lines. It projects a line forward based on a calculated slope and only shifts its trajectory when the market demonstrates a significant change in momentum.
The addition of ATR-based volatility zones allows traders to visualize a range of expected price action around the projected trend, providing a buffer that accounts for market volatility at the time of each trend reset.
🔹 Interpreting the Line and Zones
Bullish Phase (Green): Indicates an upward-sloping trajectory. The trendline and its surrounding ATR zones will be colored green, suggesting a bullish bias.
Bearish Phase (Red): Indicates a downward-sloping trajectory. The trendline and its surrounding ATR zones will be colored red, suggesting a bearish bias.
ATR Zones: These shaded areas represent a volatility-adjusted range. As long as price remains within the deviation threshold, the zones follow the trendline's trajectory.
Reset Points: Visualized by a small circle and a break in the line, these occur when price moves too far from the projection. At this moment, the indicator re-anchors to the current price and recalculates both the slope and the ATR zone width.
🔶 DETAILS
The indicator follows a specific logic flow to maintain its "Rolling" characteristic:
1. Slope Calculation: It calculates the Linear Regression slope over a user-defined lookback period. This slope represents the average rate of change in price.
2. Projection: On every new bar, the indicator projects the next value of the trendline by adding the active slope to the previous trendline value.
3. Deviation Check: The indicator calculates a Standard Deviation threshold. If the distance between the current price and the projected trendline value exceeds this threshold, a reset is triggered.
4. Re-Anchoring: Upon a reset, the trendline "rolls" to the current price and adopts the most recent linear regression slope. Simultaneously, it captures the current ATR to set the width of the new trend zones.
🔶 SETTINGS
🔹 Trend Settings
Slope Lookback: The period used to calculate the linear regression slope. Higher values result in a slope that considers more historical data.
Deviation Multiplier: Determines how far price can deviate from the trendline before a reset occurs.
Slope Divisor: This setting allows you to tame the trajectory of the line. Higher values divide the captured slope, resulting in flatter trendlines.
Source: The price data used for all calculations (default is Close).
🔹 ATR Zones
ATR Length: The lookback period used for the Average True Range calculation, which determines the width of the volatility bands.
ATR Multiplier: Controls the width of the shaded zones around the trendline.
🔹 Visuals
Bullish/Bearish Trend Colors: Customizes the colors for the trendline and zones based on the slope direction.
Zone Color: Sets the base color for the ATR area fills.
Line Width: Adjusts the thickness of the primary rolling trendline.
Indicator
Liquidity Clusters Pro | ProjectSyndicateLiquidity Clusters Pro consolidates overlapping pivot highs/lows, wick traps, and volume spikes into power-ranked clusters (0-10 scale) with visual hierarchy (gold/yellow/green zones), anti-repaint logic, and smart distance filtering to identify high-probability institutional liquidity levels while eliminating chart clutter.
• ⭐ Advanced clustering algorithm groups overlapping pivot highs/lows, wick traps, and volume spikes into consolidated liquidity zones instead of scattered individual zones.
• 🎯 Power Ranking System (0-10) — each cluster receives a power rank based on detection density, diversity, strength, and recency for instant quality assessment.
• 🔥 Elite Clusters (9-10) = 6+ overlapping touches — bright gold zones with thick borders, highest institutional liquidity concentration.
• 💪 Strong Clusters (7-8) = 5+ touches — yellow highlighted zones, high-priority support/resistance levels.
• ⚙️ Medium/Weak Clusters (3-6) = 2-4 touches — standard green/purple zones, moderate priority levels.
• 📊 500-1000 bar lookback period captures extensive price history for reliable cluster formation and power ranking accuracy.
• 🧠 Smart distance filter automatically hides zones within 3 ATR of current price — clean chart, no clutter around market action.
• 🚫 Anti-repaint logic ensures zones only form on confirmed bars — no disappearing zones, no mid-bar repainting.
• 📦 Universal ATR-based zone height keeps all clusters consistent size — no thin zones or tower-like zones.
• 🎨 Visual hierarchy by power rank — gold (elite) > yellow (strong) > green/purple (medium) for instant priority recognition.
• 📈 Dynamic labels show power rank + distance metrics: "Bull Liquidity Cluster | 0.45% | 5 pips" for complete context.
• 🧭 Dashboard displays cluster distribution by power rank (Elite/Strong/Medium/Weak counts) + avg power rank + recent detections.
• 🟩🟪 Preserves clean bull/bear color scheme (green/purple) with power-based enhancements for visual clarity.
• ⚡ Re-clusters every 10 bars for performance optimization while staying responsive to new price action.
• 🔧 Fully customizable: adjust cluster tolerance, min power rank, lookback period, distance filter to match your trading style.
• 🎯 Why this algo is unique: Standard tools show every pivot/rejection as separate zone = chart clutter. This algo consolidates overlapping detections into fewer, stronger clusters with quantified importance (power rank 0-10). You instantly see which levels matter most (gold = elite institutional zones) vs noise (weak single-touch zones filtered out). Result: cleaner charts, better decisions, focus on high-probability levels.
• 🚀 Apply to Gold (XAUUSD), Forex, Crypto, Indices on M15/M30/H1/H4 timeframes — your institutional liquidity roadmap.
• 💡 Use for identifying high-probability support/resistance at elite/strong clusters — combine with your entry system for complete trade setup.
• 📦 Toggle "Enable Cluster Mode" to compare new clustering vs legacy individual zone detection side-by-side.
• 🧼 Adjust "Min Power Rank to Display" to 7-8 for only elite/strong zones, or lower to 5 for more coverage.
• 🎯 How to use this? Focus trades near Elite (9-10) and Strong (7-8) clusters for highest probability. Ignore weak zones (below power rank 5). Watch for price reactions at gold/yellow zones for entries/exits. Use dashboard to assess overall market structure quality.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to identify institutional liquidity zones and support/resistance clusters. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy, price action, and other technical indicators to confirm trade setups and manage risk.
NQ
XAUUSD
BTCUSD
Indicator
Golden Pocket ZonesGolden Pocket Zones: High-Probability Reaction Zones
⚙️ Identify High-Probability Reaction Zones: The script automatically scans daily price action to plot powerful support and resistance zones based on the Golden Pocket Fibonacci retracement (50%-61.8%). These are areas where price is statistically likely to react, providing traders with a map of key market levels.
✅ Native support for Gold, Forex, Crypto, Stocks, Crude oil.
📦 Dynamic & Self-Merging Zones: The indicator identifies Golden Pockets from significant daily candles and automatically merges overlapping zones. This process consolidates multiple levels into a single, stronger, and more reliable area of interest, reducing chart noise and highlighting the most critical price boundaries.
🎯 Volatility-Adaptive Zone Height: Zone height is calculated as a percentage of the 10-day Average Daily Range (ADR10). This ensures that the zones dynamically adapt to the current market volatility. In volatile conditions, zones are wider; in calm markets, they are tighter, always remaining relevant to the instrument being traded.
💪 Strength & Age Analysis: Each zone is automatically rated for strength (4-10) based on the size of the daily candle that created it relative to the ADR10. Larger candles produce stronger zones. The age of the zone (in days) is also displayed, allowing traders to assess its relevance over time.
🔥 Proximity Heatmap: Zones are color-coded with a dynamic heatmap. The closer the current price is to a zone, the "hotter" (more orange) the color becomes. This provides an immediate visual cue to pay attention as price approaches a key reaction area.
🌍 Universal Asset Compatibility: While the logic is exceptionally powerful for Gold (XAUUSD), the indicator is designed for universal application across Futures (NQ/ES), Forex, Cryptocurrencies (BTC), and US Stocks. The ADR-based calculations ensure its principles adapt seamlessly to any market.
📌Recommended Timeframes
📦While the zones are calculated from the Daily chart, they are most effectively used for executing trades on intraday timeframes. The recommended timeframes for monitoring price action and looking for confirmation signals are:
•M30 (30-Minute)•H1 (1-Hour)•H2 (2-Hour)•H4 (4-Hour)
How to Use the Golden Pocket Zones
🕒This indicator is designed to identify high-probability areas for price reactions, not to provide direct entry signals. The core strategy is to use these zones as a map and wait for price to confirm a reaction before making a trading decision.
Identifying High-Probability Reaction Zones
✅1.Load the Indicator: Apply the "Golden Pocket Zones" indicator to your chart. With default settings, it will analyze the last 20 daily candles to generate the zones.
🎯 2.Identify Key Levels: The plotted boxes are your key areas of interest. These represent significant historical support and resistance. A zone’s strength is indicated by its rating (e.g., "S: 8"), with higher numbers indicating a more significant level.
🥇3.Watch for Price Approach: As price action on your trading timeframe (e.g., M15, H1, H4) approaches one of these daily zones, it is entering a high-probability reaction area. The zone’s color will shift from yellow to orange, signaling proximity.
⚙️4.Look for Confirmation: This is the most critical step. Do not blindly trade just because price touches a zone. Instead, wait for a clear confirmation signal on a lower timeframe. This could be:
•Candlestick Patterns: A bullish engulfing pattern, a hammer, or a doji at a support zone.
•Chart Patterns: A double bottom forming within a zone or a breakout and retest of a smaller pattern.
•Divergence: Bullish or bearish divergence on an oscillator like RSI or MACD as price interacts with the zone.
Trading Strategy & Logic
📌 Entry Logic
1.Patience is Key: Allow price to travel to a pre-identified Golden Pocket Zone. Do not chase the market.
2.Wait for Confirmation: Once price enters the zone, switch to a lower timeframe (e.g., from H4 to M15) and wait for a clear entry signal (like a bullish candlestick pattern for a long trade at a support zone).
3.Enter on Confirmation: Execute your trade once your entry criteria are met. The zone itself provides the context for the trade.
🛑 Stop Loss (SL) Placement
•For a Long Trade (at a support zone): Place your stop loss a reasonable distance below the lower boundary of the zone. The zone itself acts as a buffer.
•For a Short Trade (at a resistance zone): Place your stop loss a reasonable distance above the upper boundary of the zone.
🎯 Take Profit (TP) Strategy
•Target the Next Zone: The most logical target is the next Golden Pocket Zone in the opposite direction of your trade. If you enter a long trade from a support zone, your primary target would be the next resistance zone above.
•Partial Profits: For larger moves, you can use Fibonacci extension levels or other support/resistance structures as intermediate targets to take partial profits.
Using Default Settings
The indicator is optimized to work well out of the box for most assets.
•Lookback Days = 20: This analyzes approximately one month of daily price action, providing a relevant and recent map of the market structure.
•Zone Height (% of ADR10) = 3.0: This provides a reasonably sized zone that is large enough to absorb noise but tight enough to be precise. It is an excellent starting point for all assets.
•Min Candle Size (% of ADR10) = 60.0: This is a crucial filter. It ensures that only days with significant price movement (at least 60% of the average daily range) are used to create zones. This filters out insignificant, low-volatility days and focuses only on levels created by decisive market action.
By combining the powerful, automatically generated Golden Pocket Zones with patient observation and confirmation on lower timeframes, traders can significantly increase the probability of their trades across all major financial markets.
⚠️ IMPORTANT NOTICE
This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Indicator
Liquidity Heatmap Matrix [MTF] - PhenLabs📊Liquidity Heatmap Matrix
Version: PineScript™v6
📌Description
The Liquidity Heatmap Matrix is a multi-timeframe liquidity detection and visualization tool built to identify where equal highs and equal lows are forming across up to five configurable timeframes. It solves a core challenge for smart money and ICT-style traders: knowing exactly where stop-loss clusters and liquidity pools are building — before price sweeps them.
Rather than manually scanning multiple timeframes for double tops and bottoms, this indicator automates the entire process and presents confluence-weighted liquidity zones as a heatmap overlay directly on your chart. Levels confirmed by more timeframes glow with greater intensity, giving you an immediate sense of which zones carry the highest probability of a liquidity grab.
When price sweeps through a detected level, the indicator confirms it in real time with on-chart labels, color changes, and optional alerts — turning reactive analysis into proactive trade planning.
🚀Points of Innovation
● First-of-its-kind heatmap approach that scores liquidity zones on a 1-to-5 confluence scale across independent timeframes
● Automatic merging of nearby equal levels using a percentage-based tolerance system, eliminating duplicate zone clutter
● Real-time sweep confirmation engine that detects when price pierces a level and closes back inside, validating the liquidity grab
● Dynamic zone coloring that shifts from transparent to fully opaque as more timeframes confirm the same price level
● Built-in dashboard that ranks all active levels by confluence strength and tracks bullish versus bearish sweep counts
● Comprehensive alert suite covering new equal high/low formation and sweep events for both directions
🔧Core Components
● Multi-Timeframe Pivot Engine: Runs pivot high/low detection independently on each of the five timeframes using request.security calls, then feeds results into a unified level registry
● Equal Level Comparator: Compares each new pivot against a rolling window of recent pivots using a configurable percentage tolerance to identify price levels that have been tested more than once
● Confluence Merger: When the same price level appears on multiple timeframes, the system merges them into a single zone and increments the confluence score rather than stacking overlapping boxes
● Sweep Detection Module: Monitors all active levels bar-by-bar, confirming a sweep when price breaches the zone edge and then closes back within it — filtering out false breakouts
● Heatmap Renderer: Translates each level’s confluence score into a color intensity gradient, with separate palettes for equal highs (red spectrum) and equal lows (green spectrum)
● Dashboard Table: Displays every active level in a sortable table with type, price, per-timeframe dot indicators, confluence rating, and sweep status
🔥Key Features
● Supports 5 fully independent timeframes that can be toggled on or off and set to any interval from 1 minute to Monthly
● Heatmap coloring intensity scales automatically with confluence count — single-timeframe levels appear faint while 5-TF levels are fully saturated
● Sweep labels display the direction, confluence count, confirming timeframes, and exact price of each swept level directly on the chart
● Dashboard tracks all active equal high and equal low levels sorted by confluence descending with real-time bull and bear sweep counters
● Four alert conditions cover new equal highs, new equal lows, bearish sweeps (EQH taken), and bullish sweeps (EQL taken)
● Swept zones automatically change to a distinct highlight color and freeze their right edge at the sweep bar for clear historical reference
● Old swept levels are cleaned up after 100 bars and stale unswept levels expire after 500 bars to keep the chart uncluttered
● All zone colors, widths, extension lengths, and dashboard positioning are fully customizable
🎨Visualization
● Liquidity Zone Boxes: Colored rectangles overlaid on the chart representing each equal high or equal low level — red-spectrum for EQH, green-spectrum for EQL, with opacity increasing as confluence rises
● Heatmap Intensity Gradient: Single-TF zones appear nearly transparent while 5-TF zones are fully opaque, creating a visual heat signature of where liquidity is densest
● Sweep Labels: Appear at the sweep bar with directional arrows (🔻 for EQH swept, 🔺 for EQL swept), showing confluence count, confirming timeframe list, and price
● Swept Zone Highlight: Confirmed sweeps turn the zone box to a yellow highlight color, clearly distinguishing consumed liquidity from active levels
● Dashboard Table: A compact on-chart table (repositionable to any corner) showing Type, Price, per-TF active dots (● / ○), and confluence rating for every tracked level
● Summary Footer: Bottom row of the dashboard displays total bullish sweeps, bearish sweeps, and combined sweep count
📖Usage Guidelines
● TF 1 through TF 5 Enabled — Toggle each timeframe on or off (Default: TF1 and TF2 enabled, TF3-TF5 disabled)
● TF 1 through TF 5 Interval — Set each timeframe independently (Defaults: 5m, 15m, 1H, 4H, Daily)
● Pivot Lookback Left — Number of bars to the left for pivot detection (Default: 6, Range: 1–50)
● Pivot Lookback Right — Number of bars to the right for pivot confirmation (Default: 6, Range: 1–50)
● Equal Level Tolerance (%) — Maximum percentage difference for two pivots to be considered equal (Default: 0.1%, Range: 0.01–2.0%)
● Max Pivots to Compare — Rolling window size of recent pivots checked for equal levels (Default: 5, Range: 2–10)
● Max Active Levels — Maximum number of liquidity zones tracked simultaneously (Default: 20, Range: 5–50)
● Sweep Confirm Bars — Bars to wait before confirming a sweep after price pierces a level (Default: 2, Range: 1–10)
● Show Liquidity Zones — Toggle zone box rendering on or off (Default: On)
● Show Sweep Labels — Toggle sweep confirmation labels on or off (Default: On)
● Show Dashboard — Toggle the summary dashboard table on or off (Default: On)
● Zone Width (%) — Percentage-based half-width of each liquidity zone box (Default: 0.05%, Range: 0.01–1.0%)
● Zone Extend (bars) — How far forward active zone boxes extend on the chart (Default: 50, Range: 10–200)
● Dashboard Position — Corner placement of the dashboard table (Options: Top Right, Bottom Right, Top Left, Bottom Left)
● EQH Colors — Customizable color range from 1-TF to 5-TF confluence for equal high zones (Default: Red spectrum with varying transparency)
● EQL Colors — Customizable color range from 1-TF to 5-TF confluence for equal low zones (Default: Green spectrum with varying transparency)
● Swept Zone Color — Highlight color for levels that have been confirmed swept (Default: Yellow at 30% transparency)
✅Best Use Cases
● Identifying high-probability reversal zones where liquidity has clustered across multiple timeframes before entering a mean-reversion trade
● Pre-planning take-profit targets by locating where dense liquidity pools sit above or below current price
● Filtering breakout trades by checking whether price is approaching a high-confluence liquidity zone likely to cause a sweep and reversal
● Confirming ICT and smart money concepts by visualizing where equal highs and equal lows form as institutional liquidity targets
● Setting up sweep-based alerts to get notified the moment a multi-TF liquidity level gets taken, enabling rapid reaction entries
● Using the dashboard as a real-time liquidity scoreboard during active trading sessions to track which levels remain live and which have been consumed
⚠️Limitations
● Pivot detection requires a right-side lookback, so level identification has an inherent delay equal to the Pivot Lookback Right setting
● Very low tolerance values on volatile assets may produce few matches, while very high values may create false confluences — tuning to the asset’s typical spread is recommended
● The indicator tracks up to the Max Active Levels limit, so on extremely active charts some older unswept levels may be pruned before they are reached
● Multi-timeframe security calls can increase chart loading time, especially when all five timeframes are enabled on lower-timeframe charts
● Sweep detection relies on close price returning inside the zone — wicks that pierce and immediately reverse on the same bar without closing inside may not be captured
● This tool identifies liquidity zones and sweeps but does not generate buy or sell signals — it is designed to complement your existing strategy, not replace it
💡What Makes This Unique
● Confluence-weighted heatmap visualization is a fundamentally different approach to liquidity mapping compared to simple equal-high/low markers, providing probabilistic weight to each level
● The automatic cross-timeframe merging system eliminates zone stacking and clutter that plagues most multi-timeframe indicators
● Real-time sweep confirmation with multi-bar validation filters out noise and false breakouts that single-bar detection methods frequently flag
● The integrated dashboard provides a full-spectrum situational awareness panel without needing to switch between timeframes or use multiple indicators
🔬How It Works
● Step 1 — Pivot Detection: On each enabled timeframe, the script independently identifies pivot highs and pivot lows using a configurable left/right lookback window via ta.pivothigh and ta.pivotlow functions
● Step 2 — Equal Level Matching: Each new pivot is compared against a rolling buffer of recent pivots on the same timeframe; if two pivots fall within the percentage tolerance, an equal high or equal low is flagged
● Step 3 — Cross-Timeframe Registration and Merging: Detected equal levels are registered into a central level array; if a level from one timeframe falls near an existing level, it merges by incrementing the confluence score rather than creating a duplicate
● Step 4 — Heatmap Rendering: Each active level is drawn as a zone box with color intensity mapped to its confluence score using a 5-tier gradient — more confirming timeframes produce more visually prominent zones
● Step 5 — Sweep Monitoring: Every bar, the script checks whether price has breached a zone edge and closed back inside, confirming a liquidity sweep; confirmed sweeps update the zone color, freeze the box, and generate labels and alerts
● Step 6 — Lifecycle Management: Swept levels are retained for 100 bars for historical reference then removed; unswept levels older than 500 bars are pruned to maintain chart performance and visual clarity
💡Note:
For best results, start with the default settings and adjust tolerance and pivot lookback values to match the volatility profile of your specific asset. Lower timeframe combinations (e.g., 5m + 15m) are ideal for intraday scalping, while higher timeframe setups (e.g., 1H + 4H + Daily) suit swing trading. This indicator is designed as a confluence tool — combine it with your existing strategy, order flow analysis, or market structure methodology for highest-probability trade setups. It does not produce buy or sell signals on its own.
Indicator
PD Location Screener (NY Session)PD Location Screener (NY Session) – Premium / Discount / Equilibrium Bias
This open-source overlay indicator is a lightweight visual screener that shows where current price is located relative to the **previous day's range** (PD high/low/midpoint), helping traders quickly identify:
- Discount zones (below 25% of PD range → potential buy bias)
- Premium zones (above 75% of PD range → potential sell bias)
- Equilibrium / neutral (near midpoint → balanced / choppy)
Core Concept
Many intraday traders use the previous day's range as a reference framework:
- Price below the midpoint (especially in the lower 25%) is considered **discount** → undervalued relative to yesterday → higher probability of mean-reversion buys or continuation if momentum builds
- Price above the midpoint (especially in the upper 25%) is considered **premium** → overvalued → higher probability of mean-reversion sells or fading
- Near the midpoint → equilibrium → often choppy or awaiting directional catalyst
This script adds a **NY session filter** (default 08:30–16:00 NY time) so the PD range calculation only includes bars during active New York hours — useful for avoiding thin Asian-range noise and focusing on high-liquidity period behavior.
Why this is useful
- Provides instant visual context for bias without cluttering the chart
- Helps filter trades: e.g., look for longs in discount + bullish structure, shorts in premium + bearish structure
- Session filter makes it particularly effective for NY/London overlap strategies (forex, indices, gold, futures)
How It Works
1. Tracks daily high/low only during NY session (optional toggle)
- Resets at new day
- Updates only when inSession = true
2. Calculates:
- Midpoint = (PD High + PD Low) / 2
- PD Range = PD High – PD Low
- Discount threshold = PD Low + 25% of range
- Premium threshold = PD Low + 75% of range
3. Bias flags:
- Discount: close < midpoint → green triangle below bar
- Premium: close > midpoint → red triangle above bar
4. Optional last-bar label:
- "DISCOUNT ZONE" (green)
- "PREMIUM ZONE" (red)
- "EQUILIBRIUM" (gray)
Visual Output
- Green triangle below bar → price in discount (buy bias area)
- Red triangle above bar → price in premium (sell bias area)
- Last-bar label (toggleable) showing current location
How to Use
- Best on **5m–1h timeframes** for intraday trading (forex majors, indices, gold, futures)
- Recommended pairs: EURUSD, GBPUSD, XAUUSD, NAS100, ES1!, NQ1!
- Typical workflow:
1. Wait for price to reach discount zone + bullish price action / structure → consider longs
2. Wait for premium zone + bearish price action → consider shorts
3. Avoid entries near equilibrium unless strong breakout catalyst
- Combine with:
- Order blocks, FVGs, liquidity sweeps
- Higher-timeframe trend filter
- Session open/high/low
- Toggle "Use NY Session Only" off if you want full 24h range (e.g., crypto or Asian-focused pairs)
Inputs
- Use NY Session Only: true = only NY hours count toward PD range (recommended)
- NY Session: default "0830-1600" (adjust if broker timezone differs)
- Show Location Labels: toggle last-bar text label
Publishing Recommendation
- Publish with a clean chart (e.g., 15m–1h XAUUSD or EURUSD during NY session)
- Show a period where price moves from discount → equilibrium → premium (triangles visible)
- No extra indicators/drawings needed
This is a simple, educational location bias tool — fully open-source. It highlights relative value zones — not trade signals. Trading involves significant risk of loss. Use discretion and proper risk management.
Feedback welcome — especially suggestions for adding PD open or 50% retracement lines! Indicator
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis
Overview
Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels.
Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods.
This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance.
Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones.
Conceptual Framework
Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points.
Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition.
Three core principles guide the design:
Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone.
Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control.
Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution).
This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones.
Theoretical Foundation
The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis.
A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row.
Five internal systems operate in tandem:
Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points.
Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance.
Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row.
Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction.
Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending.
This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone.
How It Works
Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes:
Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors.
Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity.
Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move.
Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations.
Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries.
Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone.
Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows.
Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring.
Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation.
Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements.
Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition.
Interpretation
Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones:
Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated.
Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated.
Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges.
Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests.
Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution).
Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance.
Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled.
Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening.
Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance.
POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure.
Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions.
Signal Logic & Visual Cues
Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals:
Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established.
First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain.
POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone.
Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation.
Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction.
Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction.
Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability.
Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely.
The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches.
Strategy Integration
Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches:
Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels.
POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward.
Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction.
Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution.
Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods.
Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability.
Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels.
Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones.
Technical Implementation Details
Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation
Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension
Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation
Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row
POC Identification : Maximum volume row detection with visual emphasis rendering
Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation
Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing
Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback
15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity
4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps
Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence
Suggested Baseline Configuration:
Swing Length : 8
Impulse Size (ATR) : 1.2
Base Lookback Candles : 3
ATR Length : 14
Maximum Zone Height (ATR) : 4.0
Maximum Zones : 10
Extend Zones (bars) : 60
Merge Overlapping Zones : Enabled
Merge Gap (ATR) : 0.3
Mitigation Type : Wick
Profile Rows : 10
Profile Width (%) : 0.5
Show POC Line : Enabled
Show Delta Profile : Enabled
Delta Profile Width (%) : 0.35
Show Zone Info Box : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation.
Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations.
Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods.
Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones.
Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only.
Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances.
Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely.
Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances.
Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration.
Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration.
Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts.
Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Range-bound and mean-reverting markets where institutional zones provide reliable turning points
Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution
Swing trading approaches targeting zone-to-zone reactions with defined risk parameters
Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions
Markets where delta proxy correlates well with actual order flow (trending volume instruments)
Position trading benefiting from macro supply/demand structure with embedded volume context
Reduced Effectiveness:
Extremely low volume environments where profile distribution becomes unreliable and sparse
News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns
Highly trending markets where zones consistently mitigate without providing reversal opportunities
Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading
Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context
Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision
Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply
Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts
Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas
Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness
Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals
Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement
Disclaimer
Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management. Indicator
Mouchli Zone Projection ToolZone Projection Tool
The Problem: Manually drawing zones is tedious. You have to identify the consolidation, measure the distance, find the 50% line, and then manually clone/stack boxes up and down the chart. If you switch assets or timeframes, you have to do it all over again.
The Solution: This custom Pine Script automates the entire mathematical process. You simply define your two "Anchor Zones" (current support and resistance), and the script instantly builds the entire grid for you—perfectly spaced and optimized.
Key Features:
⚡ Automated Stacking: Input your bottom zone and top zone. The script calculates the exact center, determines the "grid step," and automatically projects zones UP and DOWN the chart.
📊 Multi-Asset Manager: Save your levels for up to 5 different assets (e.g., QQQ, ES, NVDA, SPY, BTC) in one single indicator. The script is smart—it automatically detects which chart you are looking at and loads the correct levels instantly.
🗓️ Daily & Weekly Overlays: Input both Daily Zones (Purple) and Weekly Zones (Orange) for the same asset. You can view them simultaneously to see where short-term and long-term structures overlap.
🎛️ Toggle Controls: Includes "Show/Hide" checkboxes for every zone set. Want to focus only on the Daily levels? Uncheck the Weekly box, and they disappear instantly without deleting your data.
📍 The "Halfway" Line: Automatically calculates and draws the dashed 50% transition line between every zone, identifying the "no-man's-land" where price often pivots.
How it works:
Add the indicator to your chart.
Open the Settings (gear icon).
Select your Ticker (e.g., Asset 1 = QQQ).
Enter your "Anchor" prices for Zone 1 (Support) and Zone 2 (Resistance).
Set your Projection UP and Projection DOWN counts to determine how far the grid extends.
The script will automatically draw the 50% lines and project the zones for you.
Indicator
Visual Trading ZonesVisual Trading Zones is a chart-based indicator designed to display clear and structured price zones using evenly spaced levels.
The indicator automatically builds horizontal zones across the visible price range and helps traders visually identify potential areas of interest such as support, resistance, and reaction zones.
Key Features
Displays horizontal price zones with a fixed step
Optional main levels and sub-levels inside each zone
Clean and minimal visual presentation
Works on any market and timeframe
Fully customizable colors, line styles, and zone transparency
No signals, no alerts — purely visual analysis tool
How It Works
Price zones are constructed using a user-defined step size.
Each zone is visually highlighted, allowing traders to quickly see how price interacts with these areas over time.
The indicator does not repaint and does not generate trading signals.
It is intended to be used as a visual framework alongside any trading strategy.
Recommended Use
Identifying potential support and resistance zones
Market structure and range analysis
Confluence with price action, indicators, or volume tools
⚙️ Settings Overview
Step — distance between price zones
Step Unit — ticks or pips (for FX instruments)
SubLevels — number of internal levels within each zone
Show Zones / Lines / Prices — visual display options
Range Bars — number of bars used to build zones
Style Settings — colors, line styles, transparency Indicator
Indicator
Indicator
Indicator
Std Dev Zones MTFStd Dev Zones MTF Key Features Overview
• ⭐ Built using ADR10 (Average Daily Range) logic to measure volatility-based standard deviation zones from timeframe open.
• ⚙️ ADR10 STD DEV Zones Pine v6 — MTF support for Daily, H4, H8, H12 timeframes for multi-timeframe volatility analysis.
• 📦 Dynamic zones calculated from period open (Daily/H4/H8/H12) using average range = clean, objective volatility structure.
• 📊 ±0.5 SD zones = neutral territory — price within normal range from open.
• 📈 +0.75 SD & +1.0 SD = OVERBOUGHT zones — price extended above normal range, potential exhaustion or reversal area.
• 📉 -0.75 SD & -1.0 SD = OVERSOLD zones — price extended below normal range, potential exhaustion or reversal area.
• 🔥 +1.25 SD = MAX OVERBOUGHT — extreme extension above open, highest volatility threshold for exits/profit-taking.
• 🧊 -1.25 SD = MAX OVERSOLD — extreme extension below open, highest volatility threshold for exits/profit-taking.
• 🧠 Adjustable zone thickness (% of ADR10) so zones scale with market volatility — perfect for Gold, Forex, Crypto swings.
• 🎨 Color-coded zones with large labels inside each zone for instant visual clarity — no interpretation lag.
• 🧭 Zones extend throughout the trading period so you can track price behavior relative to volatility bands.
• 🟩🟪 Dual color system for upper/lower zones + descriptive labels - zero confusion on market extension.
• 🧼 Clean overlay display: zones + open line = actionable, minimal, fast volatility assessment.
• ⭐ Apply to your M15/M30/H1/H4 PulseWire chart — your volatility roadmap for Gold, FX, Crypto, Indices.
• 🚀 Use for exit planning & take-profit levels at overbought/oversold extremes — NOT for standalone entry signals.
• 📦 Enable/Disable individual zone levels (±0.5, ±0.75, ±1.0, ±1.25) to customize your chart view.
• 📦 Too cluttered? Adjust "Periods to Show" or increase zone thickness % from settings.
• 🎯 How to use this? Monitor price behavior at overbought/oversold zones for potential reversals or continuations. Use Max Overbought/Oversold levels for aggressive profit-taking. Combine with your entry system for complete trade management.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to measure market volatility and identify potential exit/take-profit zones. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy to assess overbought/oversold conditions and plan exits.
NQ
GBPUSD
BTCUSD
Indicator
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose. Indicator
Indicator
Indicator
Market Acceptance Zones [Interakktive]Market Acceptance Zones (MAZ) identifies statistical price acceptance — areas where the market reaches agreement and price rotates rather than trends.
Unlike traditional support/resistance tools, MAZ does not assume where price "should" react. Instead, it highlights regions where multiple internal conditions confirm balance: directional efficiency drops, effort approximately equals result, volatility contracts, and participation remains stable.
This is a market-state diagnostic tool, not a signal generator.
█ WHAT THE ZONES REPRESENT
MAZ (ATF) — Chart Timeframe Acceptance
A MAZ marks an area where price displayed rotational behaviour and the auction temporarily agreed on value. These zones often act as compression regions, fair-price areas, or boundaries of consolidation where impulsive follow-through is less likely.
Use ATF MAZs to:
- Identify rotational environments
- Avoid chasing price inside balance
- Frame consolidation prior to expansion
MAZ • HTF / MAZ • 2/3 — Multi-Timeframe Acceptance (AMTF)
When Multi-Timeframe mode is enabled, MAZ evaluates acceptance on:
- The chart timeframe
- Two higher structural timeframes
If the minimum consensus threshold is met (default: 2 of 3), the zone is classified as AMTF. These zones represent stronger agreement and typically decay more slowly than single-timeframe acceptance.
AMTF zones are structurally stronger and are useful for:
- Higher-quality rotation areas
- Pullback framing within trends
- Context alignment across timeframes
H • MAZ — Historic Acceptance Zones
Historic MAZs represent older acceptance that has transitioned out of active relevance. These zones are hidden by default and can be enabled to provide long-term memory context.
█ AUTO MULTI-TIMEFRAME LOGIC
When MTF Mode is set to Auto, MAZ uses a deterministic structural mapping based on the current chart timeframe:
- 5m → 15m + 1H
- 15m → 1H + 4H
- 1H → 4H + 1D
- 4H → 1D + 1W
- 1D → 1W + 1M
This ensures consistent higher-timeframe context without manual configuration. Advanced users may switch to Manual mode to define custom timeframes.
█ ZONE LIFECYCLE
MAZ zones are dynamic and maintain an internal lifecycle:
- Active — Acceptance remains relevant
- Aging — Acceptance quality is degrading
- Historic — Retained only for memory context
Zones track price interaction and re-acceptance, which can stabilise or strengthen them. Weak or stale zones are automatically removed to keep the chart clean.
█ HOW TRADERS USE MAZ
MAZ is designed to provide structure, not entries.
Common applications include:
- Avoiding chop when price is inside acceptance
- Framing expansion after clean breaks from MAZ
- Identifying higher-quality rotational pullbacks (AMTF zones)
- Defining objective invalidation using zone boundaries
█ SETTINGS OVERVIEW
Market Acceptance Zones — Core
- Acceptance Lookback
- ATR Length
- Zone Frequency (Conservative / Balanced / Aggressive)
Market Acceptance Zones — Zones
- Maximum Zones
- Fade & Stale Bars
- Historic Zone Visibility (default OFF)
Market Acceptance Zones — Timeframes
- MTF Mode (Off / Auto / Manual)
- Manual Higher Timeframes
- Minimum Consensus Requirement
Market Acceptance Zones — Visuals
- Neon / Muted Theme
- Zone Labels & Consensus Detail
- Optional Midline Display
█ DISCLAIMER
This indicator is a market context and diagnostic tool only.
It does not generate trade signals, entries, or exits.
Past acceptance behaviour does not guarantee future price action.
Always combine with independent analysis and proper risk management. Indicator
FVG Heatmap [Hash Capital Research]FVG Map
FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard.
This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows.
What this script detects
Bullish FVG (gap below price)
A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low.
The zone spans from that prior high up to the current low.
Bearish FVG (gap above price)
A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high.
The zone spans from the current high up to that prior low.
What makes it useful
Heatmap zones (clean, readable FVG boxes)
Bullish zones plot below price. Bearish zones plot above price.
Partial fill tracking (mitigation progress)
As price trades back into a zone, the script visually shows how much of the zone has been filled.
Mitigation modes (your definition of “filled”)
• Full Fill: price fully trades through the zone
• 50% Fill: price reaches the midpoint of the zone
• First Touch: price touches the zone one time
Optional auto-cleanup
Optionally remove zones once they’re mitigated to keep the chart clean.
Fill-Speed Regime Dashboard
When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment:
• Average fill time
• Median fill time
• % fast fills vs % slow fills
• Regime label: choppy/mean-revert, trending/displacement, or mixed
How to use
Use FVG zones as structure, not guaranteed signals.
• Bullish zones are often watched as potential support on pullbacks.
• Bearish zones are often watched as potential resistance on rallies.
The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions.
Alerts
Bullish FVG Created
Bearish FVG Created
Notes
FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms. Indicator
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context. Indicator
