Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
Liquidity
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets.
This Supertrend is a nodd to and a more completion of the work
done by Olivier Seban ( @olivierseban )
This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves.
📏 The Multiplier Problem & Adaptive Factor Solution
Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter.
This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it.
ATR EXAMPLE
Let’s say prior session ATR = 2.00
Now suppose current ATR = 0.32
This places us in Zone 1 (Very Low Volatility)
It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means:
Lower risk | Smaller stops | Smaller opportunities (and losses)
🔁 Liquidity Zones vs. Arbitrary Pullbacks
The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate.
This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior.
⏳ Prior Session ATR vs. Live ATR
Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility.
Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved.
The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose.
It will also plot a moving average on your chart against closing prices by the smoothing function you choose.
🧭 Scalping vs. Trending Modes
The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution.
Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts.
This version solves that with a simple toggle:
Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias.
Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually.
📉 Histogram Oscillator for Move Strength
In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line.
This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic.
Histogram in Scalping Mode
Histogram in Trending Mode
📊 Visual Table for Real-Time Clarity
A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders.
This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
Session Range ProjectionsSession Range Projections
Purpose & Concept:
Session Range Projections is a comprehensive trading tool that identifies and analyzes price ranges during user-defined time periods. The indicator visualizes high-probability reversal zones and profit targets by projecting Fibonacci levels from custom session ranges, making it ideal for traders who focus on time-based market structure analysis.
Key Features & Calculations:
1. Custom Time Range Analysis
- Define any time period for range calculation - from traditional sessions (Asian, London, NY) to custom periods like opening ranges, hourly ranges, or 4-hour blocks
- Automatically captures the highest and lowest prices within your specified timeframe
- Supports multiple timezone selections for global market analysis
- Flexible enough for intraday scalping ranges or longer-term swing trading setups
2. Premium & Discount Zones
- Automatically divides the range into premium (above 50%) and discount (below 50%) zones
- Visual differentiation helps identify institutional buying and selling areas
- Color-coded boxes clearly mark these critical price zones
3. Optimal Trade Entry (OTE) Zones
- Highlights the 79-89% retracement zone in premium territory
- Highlights the 11-21% retracement zone in discount territory
- These zones represent high-probability reversal areas based on institutional order flow concepts
4. Fibonacci Projections
- Projects 11 customizable Fibonacci extension levels from the range extremes
- Levels extend both above and below the range for symmetrical analysis
- Each level can be individually toggled and color-customized
- Default levels include common retracement ratios: -0.5, -1.0, -2.0, -2.33, -2.5, -3.0, -4.0, -4.5, -6.0, -7.0, -8.0
How to Use:
Set Your Time Range: Input your desired session start and end times (24-hour format)
Select Timezone: Choose the appropriate timezone for your trading session
Customize Display: Toggle various visual elements based on your preferences
Monitor Price Action: Watch for reactions at projected levels and OTE zones
Set Alerts: Configure sweep alerts for when price breaks above/below range extremes
Input Parameters Explained:
Time Range Settings
Range Start/End Hour & Minute: Define your analysis period
Time Zone: Ensure accurate session timing across different markets
Visual Settings
Range Box: Toggle the premium/discount zone visualization
Horizontal Lines: Customize high/low line appearance
Internal Range Levels: Show/hide equilibrium and OTE zones
Labels: Configure text display for key levels
Fibonacci Projections: Enable/disable extension levels
Display Settings
Historical Ranges: Show up to 10 previous session ranges
Alert Type: Choose between high sweep, low sweep, or both
Trading Applications:
Session-Based Trading: Analyze specific market sessions (Asian, London, New York, opening ranges, hourly ranges)
Reversal Trading: Identify high-probability reversal zones at OTE levels
Breakout/Reversal Trading: Monitor range breaks/reversals with built-in sweep alerts
Risk Management: Use Fibonacci projections as profit targets or rejection areas
Multi-Timeframe Analysis: Apply to any timeframe for various trading styles
Important Notes:
This indicator is for educational purposes only and should not be considered financial advice
Past performance does not guarantee future results
Always use proper risk management when trading
The indicator automatically manages historical data to maintain chart performance
OBAdvanced Order Block & Liquidity Mapping Tool
This open-source script is designed to help traders identify market structure and key liquidity areas using a combination of fractal-based order block detection and dynamic/static liquidity mapping.
Features Overview:
- Detects bullish and bearish order blocks using 3-bar and 5-bar fractal patterns
- Automatic removal of invalidated order blocks when price bodies fully break above/below OB highs/lows
- Fair Value Gap (FVG) validation option to increase signal quality
- Time-based label system for session or bar analysis
- Highly customizable visuals: line styles, label positions, widths, colors, and time offsets
🛠️ Custom Enhancements:
This version introduces a key improvement: order blocks are automatically removed once they are considered invalid, specifically when the body of a future candle breaks through the high or low of the original OB — not just the wick. This enhances the clarity and reliability of the displayed levels by dynamically filtering out broken zones.
🧠 Based on Open Source Work:
This script includes adapted logic from the open-source Orderblocks script by Nephew_Sam_.
The original detection mechanism has been extended with new invalidation logic and improved visual rendering.
Recommended Usage:
Best suited for intraday or swing-trading strategies based on market structure and smart money concepts (SMC). Works well on 5m to 4h timeframes. Inputs are adjustable to suit varying volatility and session preferences.
⚠️ Disclaimer:
This tool is intended for educational and analytical purposes only. It is not financial advice, and no performance or profitability is guaranteed.
// Portions of the order block logic are adapted from the open-source "Orderblocks" script by Nephew_Sam_.
// Original:
// This version adds custom invalidation logic based on body breaches and enhanced cleanup behavior.
Liquidity Rush (VWAP × Avg Daily Vol in Cr)Liquidity Rush SHOWS TRADED VALUE PER DAY.It shows how much rupee volume (turnover) is concentrating around VWAP, giving you a sense of institutional participation, volume weight, or momentum readiness.
HOG Liquidity ZonesHOG Liquidity Zones (Swings & Sweeps)
📊 Overview
A precision tool for visualizing key liquidity zones formed by swing highs and lows. It tracks tap counts, volume strength, and identifies directional sweep targets, giving traders a visual edge in spotting high-probability reaction zones.
⚙️ How It Works
• Identifies swing highs/lows using pivot logic
• Plots colored zones based on wicks or full ranges
• Tracks volume or count of price taps to validate zones
• Optional debounce and body-only tap filters
• Zones invalidate when fully broken by candle closes
• Imbalance zones highlight key displacement gaps
• “NEXT” marker shows likely sweep direction
🎯 Inputs
• Pivot Lookback Length
• Tap Debounce & Body-Only Filters
• Filter Type (Tap Count or Volume)
• Invalidate on Close Toggle
• Imbalance Zone Display
• Custom Label Size & Text Size
✅ Benefits
• Clearly shows where liquidity pools have formed
• Adapts to both structure and trap-based strategies
• Tap tracking helps gauge zone strength
• Useful for identifying magnets, rejections, and sweeps
• Clean, non-intrusive visuals
📈 Use Cases
• Target stop hunts or liquidity sweeps
• Confirm high-traffic areas before entries
• Combine with trend overlays or breakout tools
• Trade toward the next “NEXT” target zone
⚠️ Notes
• Zones remain active until invalidated or swept
• Tap logic can be customized for conservative or aggressive bias
• Imbalance boxes are optional and highlight displacement candles
• This tool is for visual context — not a signal engine
HOG Super Trend🔍 HOG Super Trend – Dual‑EMA Trend Confidence
🧠 Overview
Combines two EMAs—Base EMA and Confirmation EMA—to highlight strong trend alignment. Filters trades with price, EMA cross, and slope direction logic.
⚙️ How It Works
• Base EMA (default 34) and Confirmation EMA (default 13)
• Trend flagged only when:
– Price is above/below Base EMA
– Confirmation EMA aligns above/below Base EMA
– Both EMAs are sloping in the same direction
• Colors: Aqua = Bull trend, Red = Bear trend
🎯 Inputs
• Source (price)
• Base EMA Length
• Confirmation EMA Length
✅ Benefits
• Clean trend filter based on alignment and momentum
• No gray—sharp visuals with clear direction cues
• Repaint‑safe—uses confirmed bar data only
📈 Use Cases
• Perfect for trend confirmation on 1H, 4H, or Daily charts
• Use with price action, volume, or structure for precise entries
⚠️ Notes
• Not a standalone signal, but a trend confirmation tool
• No performance guarantees—test with your strategy
HOG Liquidity HunterHOG Liquidity Hunter – Pivot‑Based Liquidity Zones
📌 Overview
Plots dynamic support and resistance zones on swing pivots with an ATR‑based buffer. Anchored only when pivots are confirmed, the zones stay close to current price levels—ideal for spotting liquidity runs or traps.
🔧 How It Works
Detects swing highs and lows using ta.pivothigh() / ta.pivotlow() with a user‑defined lookback.
After a pivot is confirmed, calculates BSL/SSL zone = pivot ± (ATR * margin).
Zones update only on confirmed pivots—no repainting on open bars.
⚙️ Inputs
Lookback: bars to confirm pivots (e.g. 10–20).
ATR Margin Multiplier: buffer width (e.g. 1.25).
✅ Benefits
Structure‑focused: Zones align with real swing points.
Responsive yet stable: Tight ATR margin keeps zones precise, only updating on valid pivots.
Clean visuals: Two uncluttered zones—easy to interpret.
🛠 How to Use
Detect near‑zone bounce entries or exits on 4H/1D charts.
Combine with trend or volume indicators for stronger setups.
Use zones to identify potential stop‑run, liquidity re‑tests, or range turns.
⚠️ Notes & Disclaimers
Zones base off historical pivots; may lag until confirmed.
No future-looking data—relying entirely on closing bar confirmation.
Use alongside a complete trading framework; this is not a standalone signal.
TradeJorno - Time + Price Levels
Tired of manually drawing and updating important ICT or SMC time and price levels on your charts every day?
Here’s an indicator to draw important TIME and PRICE levels automatically.
Here’s what you can highlight in realtime on your charts:
1. Previous major highs and lows
⁃ Previous daily and weekly highs and low
- Weekly dividing lines
2. Session highs/lows
⁃ Plot the high and low of Asia and London sessions.
⁃ Customise the timeframe and appearance on the chart.
- Previous session settlement price.
3. Various price levels
⁃ Pre-market opening prices : midnight, 7:30 and 8:30
⁃ Regular market opening prices: 9:30, 10:00, 14:00
- end of session settlement prices
4. Market opening range high and low
⁃ Lines extending throughout the current session
⁃ Customise the timeframe and appearance on the chart.
5. ICT Macro times
- Draw customisable vertical lines and labels to indicate the start of each ICT macro
period.
Let us know in the comments below if there’s anything else we need to add!
Math by Thomas Liquidity PoolDescription
Math by Thomas Liquidity Pool is a TradingView indicator designed to visually identify potential liquidity pools on the chart by detecting areas where price forms clusters of equal highs or equal lows.
Bullish Liquidity Pools (Green Boxes): Marked below price where two adjacent candles have similar lows within a specified difference, indicating potential demand zones or stop loss clusters below support.
Bearish Liquidity Pools (Red Boxes): Marked above price where two adjacent candles have similar highs within the difference threshold, indicating potential supply zones or stop loss clusters above resistance.
This tool helps traders spot areas where smart money might hunt stop losses or where price is likely to react, providing valuable insight for trade entries, exits, and risk management.
Features:
Adjustable box height (vertical range) in points.
Adjustable maximum difference threshold between candle highs/lows to consider them equal.
Boxes automatically extend forward for visibility and delete when price sweeps through or after a defined lifetime.
Separate visual zones for bullish and bearish liquidity with customizable colors.
How to Use
Add the Indicator to your chart (preferably on instruments like Nifty where point-based thresholds are meaningful).
Adjust Inputs:
Box Height: Set the vertical size of the liquidity zones (default 15 points).
Max Difference Between Highs/Lows: Set the max price difference to consider two candle highs or lows as “equal” (default 10 points).
Box Lifetime: How many bars the box stays visible if not swept (default 120 bars).
Interpret Boxes:
Green Boxes (Bullish Liquidity Pools): Areas of potential demand and stop loss clusters below price. Watch for price bounces or accumulation near these zones.
Red Boxes (Bearish Liquidity Pools): Areas of potential supply and stop loss clusters above price. Watch for price rejections or distribution near these zones.
Trading Strategy Tips:
Use these zones to anticipate where stop loss hunting or liquidity sweeps may occur.
Combine with your Order Block, Fair Value Gap, and Market Structure tools for higher probability setups.
Manage risk by avoiding entries into price regions just before large liquidity pools get swept.
Automatic Cleanup:
Boxes delete automatically once price breaks above (for bearish zones) or below (for bullish zones) the zone or after the set lifetime.
Liquidity mark-out indicator(by Lumiere)This indicator marks out every High that has a bullish candle followed by a bearish one, vice versa for lows.
Once the price reaches the marked-out liquidity, the line is removed automatically.
This indicator only shows the current liquidity of the time frame you are at.
(To get it look like the picture just chance the length to 30-50)
Key Features of the Liquidity Mark-Out Indicator:
🔹 Identifies Liquidity Zones – Marks highs and lows based on candlestick patterns.
🔹 Customizable Settings – Toggle highs/lows visibility 🎚️, adjust line colors 🎨, and set line length (bars) 📏.
🔹 Smart Clean-Up – Automatically removes swept levels (when price breaks through) for a clean chart 🧹.
🔹 Pattern-Based Detection –
Highs: Detects two-candle reversal patterns (🟢 bullish close → 🔴 bearish close).
Lows: Detects two-candle reversal patterns (🔴 bearish close → 🟢 bullish close).
🔹 Dynamic Lines – Projects liquidity levels forward (adjustable length) to track key zones 📈.
Perfect For Traders Looking To:
✅ Spot potential liquidity grabs 🎯
✅ Identify key support/resistance levels 🛑
✅ Clean up their chart from outdated levels 🖥️
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊
The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends.
The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc.
Key Features:
1. Customizable Liquidity Sources
Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia).
Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT).
Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity.
2. Lead/Lag Analysis (Forward Projection):
Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days.
Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity.
3. Rate of Change (RoC) Oscillator:
Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator.
Why it's useful:
Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing.
Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum.
Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles.
This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
CAFX Liquidity Pro V1CAFX Liquidity Pro Indicator
Precision Engineered for Smart Profit-Taking
The CAFX Liquidity Pro Indicator is a powerful trading tool designed to help traders pinpoint high-probability liquidity zones, making it ideal for setting accurate and strategic take profit levels. By identifying where institutional interest is likely to reside, this indicator highlights the areas where price is most likely to react, reverse, or pause—giving you the edge in locking in profits before the market shifts.
Whether you're scalping, day trading, or swing trading, the CAFX Liquidity Pro provides clear visual cues that simplify your decision-making process and enhance your trade management. With a focus on precision and reliability, it helps you avoid emotional exits and instead base your take profits on real market behavior and liquidity dynamics.
Use CAFX Liquidity Pro to stay one step ahead—because knowing where to exit is just as important as knowing when to enter.
ryantrad3s session highs and lowsThis indicator allows you find London Session and Asia Session highs and lows without marking them yourself. This indicator can also help you find good draws on liquidity for the day and potential highs and lows you can target during that trading day. I recommend trading NQ and ES with this indicator because that's what I seen it work best with. The blue lines are London Session high and low and the red lines are Asia Session high and low. Hope this can save you time marking out your chart before market open.
Liquidity stop huntThis tool identifies key liquidity zones where stop hunts are likely to occur.
**How it works:**
- Detects swing highs/lows on your selected timeframe.
- Marks levels where "liquidity sweeps" (fakeouts) often happen.
- Plots these zones as dotted lines for visual reference.
**How to use:**
1. Look for price rejections near marked levels.
2. Avoid placing stops too close to obvious liquidity zones.
3. Combine with price action for confirmation.
**Settings:**
- Timeframe: Choose the historical period for analysis (e.g., 1D, 1W).
- Sweep Type: "Wick Only" for precise tails, "Regular" for all breaks.
- Colors/Style: Customize appearance.
Note: Works best in trending markets. Not a standalone strategy — always confirm with additional analysis.
Silver Bullet 5 minutes Box - By KaVeHThis indicator plots high-low range boxes based on selected intraday time windows on the 5-minute chart. It's inspired by the "Silver Bullet" trading concept, highlighting key liquidity grabs and volatility pockets at predefined times. It helps traders visually identify potential smart money trading windows during the New York session and other time anchors.
⚠️ This script only works on the 5-minute chart.
📦 Main Features:
⏰ Customizable Time Boxes:
Define up to 4 separate time windows per day:
3:00 AM – 3:05 AM (New York time) (Box 1)
10:00 AM – 10:05 AM (New York time) (Box 2)
2:00 PM – 2:05 PM (New York time) (Box 3)
8:00 PM – 8:05 PM (New York time) (Box 4)
🎨 Color and Visibility Control:
Each box can be independently toggled and colored for visual distinction.
🕔 New York Time Based:
All timestamps are automatically adjusted to New York Time, aligning with institutional market behavior.
📉 Post-Box Projection:
After each time window closes, a box extends forward 6 hours (72 bars on a 5-minute chart) to highlight the range.
💡 Use Case:
These boxes are best used to:
Detect liquidity sweeps.
Mark potential entry or exit zones.
Track price behavior after specific time-based events.
For example, the 10 AM box is often used to identify setups just after the NYSE open and into the first hour of volatility.
⚠️ TradingView Compliance Notes:
This script is original and does not replicate or resell premium/paid indicators.
All logic is coded from scratch by kaveh_mirmousavi, using public concepts from ICT/Smart Money Trading.
Fully complies with the Mozilla Public License 2.0.
Does not include financial advice or signals — for educational use only.
✅ How to Use:
Apply to a 5-minute chart.
Adjust the desired time boxes in the input panel.
Watch for price action within and after the boxes.
Enjoy and feel free to share feedback or ideas for improvement!
Liqudation HeatMap [BigBeluga]🔵 OVERVIEW
An advanced liquidity visualization tool that plots horizontal heat zones to highlight where potential liquidations and volume clusters are most likely hiding beneath price action.
Liqudation HeatMap scans historical price movements for local highs and lows with elevated volume or candle range. It then draws dynamic heatmap boxes—shaded from lime (low interest) to yellow (high interest)—revealing potential zones of trapped positions or stop clusters. A vertical scale on the right shows you the relative strength of volume behind each level, from 0 to the highest detected.
🔵 CONCEPTS
Maps areas of potential liquidity using volume or candle range (if volume is unavailable).
Identifies swing highs/lows (pivots) and extends heatmap boxes outward from these levels. Colors each zone based on the relative strength of volume concentration.
Fades or removes zones once price crosses their midpoints, simulating the idea of liquidity being “consumed.”
Displays a live vertical scale that shows the volume range for quick reference.
🔵 FEATURES
Dynamic Heatmap Zones:
Draws few boxes above and after pivot highs and below pivot lows, each shaded based on volume concentration.
Smart Coloring System:
Uses a gradient from lime (low) to yellow (high) to visually distinguish between weak and strong liquidity zones.
Adaptive ATR Widths:
Automatically adjusts zone thickness based on volatility (ATR), scaling intelligently across timeframes.
Liquidity Consumption Logic:
Zones are stope extending once price interacts with them—mimicking the behavior of real liquidation sweeps.
Volume Scale Legend:
A real-time scale is plotted on the right side, showing the min-max range of volume used for heat calculations.
🔵 HOW TO USE
Look for thick yellow zones to identify areas of concentrated stop losses or liquidation triggers.
Use these levels to anticipate mean reversion points or high-volatility zones.
Combine with your trend or structure tools to trade into or fade these liquidity pools.
On lower timeframes, use this tool to confirm entries around sweeps or deviations.
Use the right-side scale to compare relative zone strength instantly.
🔵 CONCLUSION
Liqudation HeatMap is a powerful visualization tool that uncovers where liquidity likely resides on the chart. By highlighting hidden traps and reactive levels in real-time, it gives traders a significant edge when it comes to spotting stop hunts, mean reversions, and areas of institutional interest. Whether you’re scalping or swing trading, this heatmap provides unmatched context on the market’s hidden intent.
Enigma Sniper 369The "Enigma Sniper 369" is a custom-built Pine Script indicator designed for TradingView, tailored specifically for forex traders seeking high-probability entries during high-volatility market sessions.
Unlike generic trend-following or scalping tools, this indicator uniquely combines session-based "kill zones" (London and US sessions), momentum-based candle analysis, and an optional EMA trend filter to pinpoint liquidity grabs and reversal opportunities.
Its originality lies in its focus on liquidity hunting—identifying levels where stop losses are likely clustered (around swing highs/lows and wick midpoints)—and providing visual entry zones that are dynamically removed once price breaches them, reducing clutter and focusing on actionable signals.
The name "369" reflects the structured approach of three key components (session timing, candle logic, and trend filter) working in harmony to snipe precise entries.
What It Does
"Enigma Sniper 369" identifies potential buy and sell opportunities by drawing two types of horizontal lines on the chart during user-defined London and US
session kill zones:
Solid Lines: Mark the swing low (for buys) or swing high (for sells) of a trigger candle, indicating a potential entry point where stop losses might be clustered.
Dotted Lines: Mark the 50% level of the candle’s wick (lower wick for buys, upper wick for sells), serving as a secondary confirmation zone for entries or tighter stop-loss placement.
These lines are plotted only when specific candle conditions are met within the kill zones, and they are automatically deleted once the price crosses them, signaling that the liquidity at that level has likely been grabbed. The indicator also includes an optional EMA filter to ensure trades align with the broader trend, reducing false signals in choppy markets.
How It Works
The indicator’s logic is built on a multi-layered approach:
Kill Zone Timing: Trades are only considered during user-defined London and US session hours (e.g., London from 02:00 to 12:00 UTC, as seen in the screenshots). These sessions are known for high volatility and liquidity, making them ideal for capturing institutional moves.
Candle-Based Momentum Logic:
Buy Signal: A candle must close above its midpoint (indicating bullish momentum) and have a lower low than the previous candle (suggesting a potential liquidity grab below the previous swing low). This is expressed as close > (high + low) / 2 and low < low .
Sell Signal: A candle must close below its midpoint (bearish momentum) and have a higher high than the previous candle (indicating a potential liquidity grab above the previous swing high), expressed as close < (high + low) / 2 and high > high .
These conditions ensure the indicator targets candles that break recent structure to hunt stop losses while showing directional momentum.
Optional EMA Filter: A 50-period EMA (customizable) can be enabled to filter signals based on trend direction.
Buy signals are only generated if the EMA is trending upward (ema_value > ema_value ), and sell signals require a downward EMA trend (ema_value < ema_value ). This reduces noise by aligning entries with the broader market trend.
Liquidity Levels and Deletion Logic:
For a buy signal, a solid green line is drawn at the candle’s low, and a dotted green line at the 50% level of the lower wick (from the candle body’s bottom to the low).
For a sell signal, a solid red line is drawn at the candle’s high, and a dotted red line at the 50% level of the upper wick (from the body’s top to the high).
These lines extend to the right until the price crosses them, at which point they are deleted, indicating the liquidity at that level has been taken (e.g., stop losses triggered).
Alerts: The indicator includes alert conditions for buy and sell signals, notifying traders when a new setup is identified.
Underlying Concepts
The indicator is grounded in the concept of liquidity hunting, a strategy often employed by institutional traders. Markets frequently move to levels where stop losses are clustered—typically just beyond swing highs or lows—before reversing in the opposite direction. The "Enigma Sniper 369" targets these moves by identifying candles that break structure (e.g., a lower low or higher high) during high-volatility sessions, suggesting a potential sweep of stop losses. The 50% wick level acts as a secondary confirmation, as this midpoint often represents a zone where tighter stop losses are placed by retail traders. The optional EMA filter adds a trend-following element, ensuring entries are taken in the direction of the broader market momentum, which is particularly useful on lower timeframes like the 15-minute chart shown in the screenshots.
How to Use It
Here’s a step-by-step guide based on the provided usage example on the GBP/USD 15-minute chart:
Setup the Indicator: Add "Enigma Sniper 369" to your TradingView chart. Adjust the London and US session hours to match your timezone (e.g., London from 02:00 to 12:00 UTC, US from 13:00 to 22:00 UTC). Customize the EMA period (default 50) and line styles/colors if desired.
Identify Kill Zones: The indicator highlights the London session in light green and the US session in light purple, as seen in the screenshots. Focus on these periods for signals, as they are the most volatile and likely to produce liquidity grabs.
Wait for a Signal: Look for solid and dotted lines to appear during the kill zones:
Buy Setup: A solid green line at the swing low and a dotted green line at the 50% lower wick level indicate a potential buy. This suggests the market may have grabbed liquidity below the swing low and is now poised to move higher.
Sell Setup: A solid red line at the swing high and a dotted red line at the 50% upper wick level indicate a potential sell, suggesting liquidity was taken above the swing high.
Place Your Trade:
For a buy, set a buy limit order at the dotted green line (50% wick level), as this is a more conservative entry point. Place your stop loss just below the solid green line (swing low) to cover the full swing. For example, in the screenshots, the market retraces to the dotted line at 1.32980 after a liquidity grab below the swing low, triggering a buy limit order.
For a sell, set a sell limit order at the dotted red line, with a stop loss just above the solid red line.
Monitor Price Action: Once the price crosses a line, it is deleted, indicating the liquidity at that level has been taken. In the screenshots, after the buy limit is triggered, the market moves higher, confirming the setup. The caption notes, “The market returns and tags us in long with a buy limit,” highlighting this retracement strategy.
Additional Context: Use the indicator to identify liquidity levels that may be targeted later. For example, the screenshot notes, “If a new session is about to open I will wait for the grab liquidity to go long,” showing how the indicator can be used to anticipate future moves at session opens (e.g., London open at 1.32980).
Risk Management: Always set a stop loss below the swing low (for buys) or above the swing high (for sells) to protect against adverse moves. The 50% wick level helps tighten entries, improving the risk-reward ratio.
Practical Example
On the GBP/USD 15-minute chart, during the London session (02:00 UTC), the indicator identifies a buy setup with a solid green line at 1.32901 (swing low) and a dotted green line at 1.32980 (50% wick level). The market initially dips below the swing low, grabbing liquidity, then retraces to the dotted line, triggering a buy limit order. The price subsequently rises to 1.33404, yielding a profitable trade. The user notes, “The logic is in the last candle it provides new level to go long,” emphasizing the indicator’s ability to identify fresh levels after a liquidity sweep.
Customization Tips
Adjust the EMA period to suit your timeframe (e.g., a shorter period like 20 for faster signals on lower timeframes).
Modify the session hours to align with your broker’s timezone or specific market conditions.
Use the alert feature to get notified of new setups without constantly monitoring the chart.
Why It’s Useful for Traders
The "Enigma Sniper 369" stands out by combining session timing, momentum-based candle analysis, and liquidity hunting into a single tool. It provides clear, actionable levels for entries and stop losses, removes invalid signals dynamically, and aligns trades with high-probability market conditions. Whether you’re a scalper looking for quick moves during London open or a swing trader targeting session-based reversals, this indicator offers a structured, data-driven approach to trading.
Time-based LiquidityThis indicator automatically marks important time-based liquidity levels on your chart, helping you stay aware of where major price reactions may occur and the market is forced to show its hand.
Key Features:
Previous Month’s, Week’s, and Day’s Highs and Lows: Displays PMH/PML, PWH/PWL, and PDH/PDL — key reference points where liquidity often accumulates.
Intraday Session Highs and Lows: Divides the trading day into quarters (00:00–06:00, 06:00–12:00, etc. following Day’s Quarterly Theory) and tracks session highs and lows dynamically across these periods.
Current Session 90-Minute Quarters: Splits the active session into 90-minute intervals to highlight short-term liquidity structures and potential reaction zones.
Level Alerts: Tracks when each liquidity level is reached and enables customizable alerts so you don’t miss important price movements.
Use Case:
This tool provides an organized, time-based framework for identifying where liquidity is likely to concentrate across different timeframes and intraday cycles. Use these levels for forming bias, planning entries, exits, or anticipating price reactions at key points in the market structure.
Customization Options:
Enable/disable liquidity levels to display (Daily, Weekly, Monthly, Sessions, Session Quarters)
Customize the appearance of each level (color, style, line width)
Enable or disable tracking and alerts for level interactions
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Liquidity Sweep Detector – PDH/PDL LevelsPrevious Day High/Low Liquidity Sweep Detector (Intraday Accurate)
This indicator tracks the previous day's high and low using intraday data, rather than the daily candle, ensuring precise sweep detection across lower timeframes (15m to 4H).
It monitors for liquidity sweeps—moments when price briefly moves above the previous high or below the previous low—and visually marks these events on the chart.
Key Features
Intraday-accurate PDH/PDL tracking
Real-time sweep detection
On-chart labels marking sweep events
Toggleable table showing sweep status
Alert conditions for PDH/PDL sweep triggers
Best For
Traders who use Smart Money Concepts (SMC), liquidity-based strategies, or look for stop hunts and reversal zones tied to key prior-day levels.
Works well across FX, crypto, and indices on 15m, 1H, and 4H charts.
Smarter Money Concepts - MTF IFVGs [PhenLabs]📊 Smarter Money Concepts - MTF IFVG
Version: PineScript™ v6
📌 Description
This multi-timeframe indicator identifies Inverse Fair Value Gaps (IFVGs) and their inversions across simultaneous chart intervals, helping traders spot liquidity voids and potential reversal zones. By analyzing price action through the lens of institutional order flow patterns, it solves the problem of manual gap tracking across timeframes while incorporating volatility-adjusted parameters and psychological level analysis for higher-probability setups.
🚀 Points of Innovation
• Multi-Timeframe Engine - Simultaneous analysis of 3 higher timeframes
• Adaptive Parameters - Auto-adjusts to market volatility conditions
• Quality Scoring System - Ranks gaps using RVI strength and size metrics
• Inversion Tracking - Monitors failed gaps for counter-trend signals
• Render Optimization - Prevents chart clutter with smart gap management
🔧 Core Components
FVG Detection Logic: Identifies gaps using customizable price source (Close/Wick)
Inversion Tracker: Manages failed gaps and generates counter signals
Multi-Timeframe Engine: Processes 3 independent higher timeframe analyses
Dashboard System: Real-time display of active gaps across all timeframes
🔥 Key Features
• Volatility-adjusted gap size filters (ATR-based)
• Customizable timeframe confluence analysis
• Color-coded quality scoring
• Non-repainting inversion signals
• Mobile-optimized visual rendering
🎨 Visualization
• Colored Boxes: Translucent zones show active gaps (green/bullish, red/bearish)
• Midline Plot: Dashed gray line marks gap midpoint for price targets
• Inversion Markers: Intense colors show failed gaps (dark red/bullish failure, bright green/bearish failure)
• HTF Differentiation: Higher timeframe gaps shown in blue/teal hues
📖 Usage Guidelines
Multi-Timeframe Settings
• Higher Timeframe 1
Default: 30 | Range: Any > Chart TF | Controls primary confluence timeframe
• Show All Timeframes
Default: True | Toggles multi-TF gap displays
Gap Settings
• Source
Default: Close | Options: | Determines gap measurement method
• RVI Period
Default: 14 | Range: 1-50 | Sets momentum confirmation sensitivity
• RVI Value
Default 0.1 | 0 to see all IFVGs | Increase min RVI to see the most powerful IFVGs
✅ Best Use Cases
• Identifying confluence across timeframes
• Spotting institutional order blocks
• High-probability reversal trading
• Trend continuation confirmation
• Volatility breakout setups
⚠️ Limitations
• Repaints historical gap zones
• Requires understanding of FVG concepts
• Higher timeframe data latency
• Quality scores rely on RVI/ATR settings
💡 What Makes This Unique
First FVG indicator with true multi-timeframe processing
Adaptive parameters that auto-adjust to volatility
Quantifiable quality scoring system
Professional-grade dashboard with HTF tracking
🔬 How It Works
Gap Detection: Identifies FVGs using price relationships and RVI confirmation
Inversion Tracking: Monitors price breaches to flag failed gaps
Quality Assessment: Scores gaps based on size, momentum, and location
Adaptive Filtering: Adjusts parameters using ATR-based volatility analysis
Multi-TF Synthesis: Correlates gaps across user-selected timeframes
Visual Rendering: Displays only relevant, active gaps to prevent clutter
💡 Note:
Start with default settings and gradually adjust parameters after observing market interactions. Focus on gaps with quality scores above 7 that align with higher timeframe trends. Combine with price action at psychological levels for highest-probability setups. Remember that higher timeframe gaps generally carry more significance than current chart gaps.
