LuxAlgo® - Price Action Concepts™Price Action Concepts™ is a first of it's kind all-in-one indicator toolkit which includes various features specifically based on pure price action.
Order Blocks w/ volume data, real-time market structure (BOS, CHoCH, EQH/L) w/ 'CHoCH+' being a more confirmed reversal signal, a MTF dashboard, Trend Line Liquidity Zones (real-time), Chart Pattern Liquidity Zones, Liquidity Grabs, and much more detailed customization to get an edge trading price action automatically.
Many traders argue that trading price action is better than using technical indicators due to lag, complexity, and noisy charts. Popular ideas within the trading space that cater towards price action trading include "trading like the banks" or "Smart Money Concepts trading" (SMC), most prominently known within the forex community.
What differentiates price action trading from others forms of technical analysis is that it's main focus is on raw price data opposed to creating values or plots derived from price history.
Mostly all of the features within this script are generated purely from price action, more specifically; swing highs, swing lows, and market structure... which allows users to automate their analysis of price action for any market / timeframe.
🔶 FEATURES
This script includes many features based on Price Action; these are highlighted below:
Market structure (BOS, CHoCH, CHoCH+, EQH/L) (Internal & Swing) multi-timeframe
Volumetric Order Blocks & mitigation methods (bullish & bearish)
Liquidity Concepts
Trend Line Liquidity Zones
Chart Pattern Liquidity
Liquidity Grabs Feature
Imbalance Concepts MTF w/ multiple mitigation methods
Fair Value Gaps
Balanced Price Range
Activity Asymmetry
Strong/Weak Highs & Lows w/ volume percentages
Premium & Discount Zones included
Candle Coloring based on market structure
Previous Highs/Lows (Daily, Monday's, Weekly, Monthly, Quarterly)
Multi-Timeframe Dashboard (15m, 1h, 4h, 1d)
Built-in alert conditions & Any Alert() Function Call Conditions
Advanced Alerts Creator to create step-by-step alerts with various conditions
+ more (see changelog below for current features)
🔶 BASIC DEMONSTRATION
In the image above we can see a demonstration of the market structure labeling within this indicator. The automatic BOS & CHoCH labels on top of dashed lines give clear indications of breakouts & reversals within the internal market structure (short term price action). The "CHoCH+" label is also demonstrated as it triggers only if price has already made a new higher low, or lower high.
We can also see a solid line with a larger BOS label in the middle of the chart. This label demonstrates a break of structure taking into account the swing market structure (longer term price action). All of these labels are generated in real-time.
🔶 USAGE & EXAMPLES
In the image below we can see how a trade setup could be created using Order Blocks w/ volume metrics to find points of interest in the market, swing / internal market structure to get indications of longer & shorter term reversals, and trend line liquidity zones to find more likely impulses & breakouts within trends.
We can see in the next image below that price came down to the highest volume order block marked out previously as our point of interest for an entry used in confluence with the overall market structure being bullish (swing CHoCH). Due to price closing below the middle Order Block at (24.77%), we saw it was mitigated, and then price revisited liquidity above the Trend Line zone above, leading us to the first Order Block as a target.
You will notice the % values adjust as Order Blocks are touched & mitigated, aligning with the correct volume detected when the Order Block was established.
In the image below we can see more features from within Price Action Concepts™ indicator, including Chart Pattern Liquidity, Fair Value Gaps (one of many Imbalance Concepts), Liquidity Grabs, as well as the primary market structures & OBs.
By using multiple features as such, users can develop a greater interpretation of where liquidity rests in the market, which allows them to develop trading plans a lot easier. Liquidity Grabs are highlighted as blue/red boxes on the wicks during specific price action that indicates the market has made an impulse specifically to take out resting buy or sell side orders.
We can notice in the trade demonstrated below (hindsight example) how price often moves to the areas of the most liquidity, even if unexpected according to classical technical analysis performed by retail traders such as chart patterns. Wicks to take out orders above & potentially trap traders are much more noticeable with features such as these.
The Chart Patterns which can be detected include:
Ascending/Descending Wedges (Asc/Desc Wedge)
Ascending/Descending Broadening Wedges (Asc/Desc BW)
Ascending/Descending/Symmetrical Triangles (Asc/Desc/Sym Triangle)
Double Tops/Bottoms (Double Top/Double BTM)
Head & Shoulders (H&S)
Inverted Head & Shoulders (IH&S)
General support & resistance during undetected patterns
In the image below we can see more features from within the indicator, including Balanced Price Range (another imbalance method similar to FVG), Market Structure Candle Coloring, Accumulation & Distribution zones, Premium & Discount zones w/ a percentage on each zone, the MTF dashboard, as well as the Previous Daily Highs & Lows (one of many highs/lows) displayed on the chart automatically.
The colored candles use more specific market structure analysis, specifically allowing users to visualize when trends are considered "normal" or "strong". By utilizing other features alongside this market structure analysis, such as noticing price retesting the PDL level + the Equilibrium as resistance, a Balanced Price Range below price, the discount with a high 72% metric, and the MTF dashboard displaying an overall bearish structure...
...users can instantly gain a deeper interpretation of price action, make highly confluent trading plans while avoiding classical technical indicators, and use traditional retail trading concepts such as chart patterns / trend lines to their advantage in finding logical areas of liquidity & points of interest in the market.
The image below shows the previous chart zoomed in with 2 liquidity concepts re-enabled & used alongside a new range targeting the same Discount zone.
🔶 SETTINGS
Market Structure Internal: Allows the user to select which internal structures to display (BOS, CHoCH, or None).
Market Structure Swing: Allows the user to select which swing structures to display (BOS, CHoCH, or None).
MTF Scanner: See market structure on various timeframes & how many labels are active consecutively.
Equal Highs & Lows: Displays EQH / EQL labels on chart for detecting equal highs & lows.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Order Blocks Internal: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart as well as select a color.
Order Blocks Swing: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart as well as select a color.
Mitigation Method: Allows the user to select how the script mitigates an Order Block (close, wick, or average).
Internal Buy/Sell Activity: Allows the user to display buy/sell activity within Order Blocks & decide their color.
Show Metrics: Allows the user to display volume % metrics within the Order Blocks.
Trend Line Liquidity Zones: Allows the user to display Trend Line Zones on the chart, select the number of Trend Lines visible, & their colors.
Chart Pattern Liquidity: Allows the user to display Chart Patterns on the chart, select the significance of the pattern detection, & their colors.
Liquidity Grabs: Allows the user to display Liquidity Grabs on the chart.
Imbalance Concepts: Allows the user to select the type of imbalances to display on the chart as well as the styling, mitigation method, & timeframe.
Auto FVG Threshold: Filter out non-significant fair value gaps.
Premium/ Discount Zones: Allows the user to display Premium, Discount , and Equilibrium zones on the chart
Accumulation / Distribution: Allows the user to display accumulation & distribution consolidation zones with an optional Consolidation Zig-Zag setting included.
Highs/Lows MTF: Displays previous highs & lows as levels on the chart for the previous Day, Monday, Week, Month, or quarter (3M).
General Styling: Provides styling options for market structure labels, market structure theme, and dashboard customization.
Any Alert() Function Call Conditions: Allows the user to select multiple conditions to use within 1 alert.
🔶 CONCLUSION
Price action trading is a widely respected method for its simplicity & realistic approach to understanding the market itself. Price Action Concepts™ is an extremely comprehensive product that opens the possibilities for any trader to automatically display useful metrics for trading price action with enhanced details in each. While this script is useful, it's critical to understand that past performance is not necessarily indicative of future results and there are many more factors that go into being a profitable trader.
🔶 HOW TO GET ACCESS
You can see the Author's instructions below to get instant access to this indicator & our premium suite.
스크립트에서 "liquidity"에 대해 찾기
Pressure Pivots - MPIPressure Pivots - MPI
A multi-factor reversal detection system built on a proprietary Market Pressure Index (MPI) that combines institutional order flow analysis, liquidity dynamics, and momentum exhaustion to identify high-probability pivot points with automated win rate validation.
What This System Does
This indicator solves the core challenge of reversal trading: distinguishing genuine exhaustion pivots from temporary retracements. It combines six independent detection mechanisms—divergence, liquidity sweeps, order flow imbalance, wick rejection, volume surges, and velocity exhaustion—weighted by reliability and unified through a custom pressure oscillator.
Three-Layer Architecture:
Layer 1 - Market Pressure Index (MPI): Proprietary volume-weighted pressure oscillator that measures buying vs. selling pressure using proportional intrabar allocation and dual-timeframe normalization (-1.0 to +1.0 range).
Layer 2 - Weighted Confluence Engine: Six detection factors scored hierarchically (divergence: 3.0 pts, liquidity: 2.5 pts, order flow: 2.0 pts, velocity: 1.5 pts, wick: 1.5 pts, volume: 1.0 pt). Premium signals (DIV/LIQ/OF) require 6.0+ score, standard signals (STD) require 4.0+ score.
Layer 3 - Automated Win Rate Validation: Every signal tracked forward and validated against actual pivot formation within 10-bar window. Real-time performance statistics displayed by signal type and direction.
The Market Pressure Index - Original Calculation
What MPI Measures: The balance of aggressive buying vs. aggressive selling within each bar, smoothed and normalized to create a continuous oscillator.
Calculation Methodology:
Step 1: Intrabar Pressure Decomposition
Buy Pressure = Volume × (Close - Low) / (High - Low)
Sell Pressure = Volume × (High - Close) / (High - Low)
Net Pressure = Buy Pressure - Sell Pressure
Step 2: Exponential Smoothing
Smooth Pressure = EMA(Net Pressure, 14)
Step 3: Normalization
Avg Absolute Pressure = SMA(|Net Pressure|, 28)
MPI Raw = Smooth Pressure / Avg Absolute Pressure
Step 4: Sensitivity Amplification
MPI = clamp(MPI Raw × 1.5, -1.0, +1.0)
Why This Is Different:
• vs. RSI: RSI measures price momentum without volume context. MPI integrates volume magnitude and distribution within each bar.
• vs. OBV: OBV uses binary classification (up bar = buy volume). MPI uses proportional allocation based on close position within range.
• vs. Money Flow Index: MFI uses typical price × volume. MPI uses intrabar positioning, revealing pressure balance regardless of bar-to-bar movement.
• vs. VWAP: VWAP shows average price. MPI shows directional pressure balance (who controls the bar).
MPI Interpretation:
• +0.7 to +1.0: Extreme buying pressure (strong uptrends, potential exhaustion)
• +0.3 to +0.7: Moderate buying pressure (healthy uptrends)
• -0.3 to +0.3: Neutral/balanced (ranging, consolidation)
• -0.7 to -0.3: Moderate selling pressure (healthy downtrends)
• -1.0 to -0.7: Extreme selling pressure (strong downtrends, potential exhaustion)
Critical Insight: MPI at extremes indicates pressure exhaustion risk , not automatic reversal. Reversals occur when extreme MPI coincides with confluence factors.
Six Confluence Factors - Detection Arsenal
1. Divergence Detection (Weight: 3.0 - Highest Priority)
Detects: Price making higher highs while MPI makes lower highs (bearish), or price making lower lows while MPI makes higher lows (bullish).
Why It Matters: Reveals weakening pressure behind price moves. Declining participation signals potential reversal.
Signal Type: Premium (DIV) - Historically highest win rates.
2. Liquidity Sweep Detection (Weight: 2.5)
Detects: Price penetrates recent swing high/low (triggering stops), then immediately reverses and closes back inside range.
Calculation: High breaks swing high by <0.3× ATR but closes below it (bearish), or low breaks swing low by <0.3× ATR but closes above it (bullish).
Why It Matters: Stop hunts mark institutional accumulation/distribution zones. Often pinpoints exact pivot points.
Signal Type: Premium (LIQ) - Extremely reliable with volume confirmation.
3. Order Flow Imbalance (Weight: 2.0)
Detects: Aggressive directional ordering where price consistently closes in upper/lower third of bars with elevated volume.
Calculation:
Close Position = (Close - Low) / (High - Low)
Aggressive Buy = Volume when Close Position > 0.65
Aggressive Sell = Volume when Close Position < 0.35
Imbalance = EMA(Aggressive Buy, 5) - EMA(Aggressive Sell, 5)
Strong Flow = |Imbalance| > 1.5 × Average
Why It Matters: Reveals institutional accumulation/distribution footprints before directional moves.
Signal Type: Premium (OF)
4. Wick Rejection Patterns (Weight: 1.5)
Detects: Pin bars, hammers, shooting stars where wick exceeds 60% of total bar range.
Why It Matters: Large wicks demonstrate failed attempts to push price, indicating strong opposition.
5. Volume Spike Detection (Weight: 1.0)
Detects: Volume exceeding 2× the 20-bar average.
Why It Matters: Confirms institutional participation vs. retail noise. Most effective when combined with wick rejection or liquidity sweeps.
6. Velocity Exhaustion (Weight: 1.5)
Detects: Parabolic moves (velocity >2.0× ATR over 3 bars) showing deceleration while MPI at extremes.
Calculation:
Velocity = Change(Close, 3) / ATR(14)
Exhaustion = |Velocity| > 2.0 AND MPI > |0.5| AND Velocity Slowing
Why It Matters: Extended moves are unsustainable. Momentum deceleration from extremes precedes reversals.
Signal Classification & Scoring
Weighted Confluence Scoring:
Each factor contributes points when present. Signals fire when total score exceeds thresholds:
Bearish Example:
+ At recent high (1.0)
+ Bearish divergence (3.0)
+ Wick rejection (1.5)
+ Volume spike (1.0)
+ Velocity slowing (1.5)
= 8.0 total score → BEARISH DIV SIGNAL
Bullish Example:
+ At recent low (1.0)
+ Liquidity sweep (2.5)
+ Strong buy flow (2.0)
+ Wick rejection (1.5)
= 7.0 total score → BULLISH LIQ SIGNAL
Dual Threshold System:
• Premium Signals (DIV/LIQ/OF): Require 6.0+ points. Must include divergence, liquidity sweep, or order flow. Higher win rates.
• Standard Signals (STD): Require 4.0+ points. No premium factors. More frequent, moderate win rates.
Visual Signal Color-Coding:
• Purple Triangle: DIV (Divergence signal)
• Orange Triangle: LIQ (Liquidity sweep signal)
• Aqua Triangle: OF (Order flow signal)
• Red/Green Triangle: STD (Standard signal)
• Yellow Diamond: Warning (setup forming, not confirmed)
Warning System - Early Alerts
Yellow diamond warnings fire when 2+ factors present but full confluence not met:
• At recent 10-bar high/low
• Wick rejection present
• Volume spike present
• MPI extreme or accelerating/decelerating
Critical: Warnings are NOT trade signals. They indicate potential setups forming. Wait for colored triangle confirmation.
Win Rate Validation - Transparent Performance Tracking
How It Works:
Signal Storage: Every signal recorded (bar index, price, type, direction)
Pivot Confirmation: System monitors next 10 bars for confirmed pivot formation at signal price (±2%)
Validation: If pivot forms within window → Win. If not → Loss.
Statistics: Win Rate = Validated Signals / Total Mature Signals × 100
Dashboard Displays:
• Overall win rate with visual bar
• Bearish signal win rate
• Bullish signal win rate
• Win rate by signal type (DIV/LIQ/OF/STD)
• Wins/Total for each category
Why This Matters:
After 30-50 signals, you'll know exactly which patterns work on your instrument:
Example Performance Analysis:
Overall: 58% (35/60)
Bearish: 52% | Bullish: 65%
DIV: 72% | LIQ: 68% | OF: 50% | STD: 38%
Insight: Focus on bullish DIV/LIQ signals (72%/68% win rate), avoid STD signals (38%), investigate bearish underperformance.
This transforms the indicator from signal generator to learning system.
Dynamic Microstructure Visualization
Fibonacci Retracement Levels
• Auto-detects last swing high + swing low
• Draws 11 levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8%
• Removes crossed levels automatically
• Clears on new signal (fresh structure analysis)
• Color gradient (bullish to bearish across range)
• Key levels (0.618, 0.5, 1.0) highlighted with solid lines
Support/Resistance Lines
• Resistance: 50-bar highest high (red, only shown when above price)
• Support: 50-bar lowest low (green, only shown when below price)
• Auto-removes when price crosses
Usage: Signals firing at key Fibonacci levels (38.2%, 50%, 61.8%) or major S/R zones have enhanced structural significance.
Dashboard - Real-Time Intelligence
MPI Status:
• Current pressure reading with interpretation
• Color-coded background (green/red/gray zones)
Signal Status:
• Active signal type and direction
• Confidence score with visual bar (20 blocks, color-coded)
• Scanning status when no signal active
Divergence Indicator:
• Highlights active divergence separately (highest priority factor)
Performance Stats:
• Overall win rate with 10-block visual bar
• Directional breakdown (bearish vs. bullish)
• Signal type breakdown (DIV/LIQ/OF/STD individual win rates)
• Sample size for each category
Customization:
• Position: 9 locations (Top/Middle/Bottom × Left/Center/Right)
• Size: Tiny/Small/Normal/Large
• Toggle sections independently
How to Use This System
Initial Setup (10 Minutes)
1. MPI Configuration:
• Period: 14 (balanced) | 5-10 for scalping | 21-30 for swing
• Sensitivity: 1.5 (moderate) | Increase if MPI rarely hits ±0.7 | Decrease if constantly maxed
2. Detection Thresholds:
• Wick Threshold: 0.6 (60% of bar must be wick)
• Volume Spike: 2.0× average (lower to 1.5-1.8 for stocks, raise to 2.5-3.0 for crypto)
• Velocity: 2.0 ATR (raise to 2.5-3.0 for crypto)
3. Confluence Settings:
• Enable Divergence (highest win rate factor)
• Pivot Lookback: 5 (day trading) | 8-10 (swing trading)
• Keep default weights initially
4. Thresholds:
• Premium: 6.0 (quality over quantity)
• Standard: 4.0 (balanced)
• Warning: 2 factors minimum
Trading Workflow
When Warning Fires (Yellow Diamond):
Note warning type (bearish/bullish)
Do not enter - this is preparation only
Monitor for full signal confirmation
Prepare entry parameters
When Signal Fires (Colored Triangle):
Identify type from color (Purple=DIV, Orange=LIQ, Aqua=OF, Red/Green=STD)
Check dashboard confidence score
Verify confluence on chart (wick, volume, MPI extreme, Fib level)
Confirm with your analysis (context, higher timeframe, news)
Enter with proper risk management
Risk Management (Not Provided by Indicator):
• Stop Loss: Beyond recent swing or 1.5-2.0× ATR
• Position Size: Risk 0.5-2% of capital per trade
• Take Profit: 2-3× ATR or next structural level
Performance Analysis (After 30-50 Signals)
Review Dashboard Statistics:
Overall Win Rate:
• Target >50% for profitability with 1:1.5+ RR
• <45% = system may not suit instrument
• >65% = consider tightening thresholds
Directional Analysis:
• Bullish >> Bearish = uptrend bias, avoid counter-trend shorts
• Bearish >> Bullish = downtrend bias, avoid counter-trend longs
Signal Type Ranking:
• Focus on highest win rate types (typically DIV/LIQ)
• If STD <40% = raise threshold or ignore STD signals
• If premium type <50% = investigate (may need parameter adjustment)
Optimize Settings:
• Too many weak signals → Raise thresholds (premium 7.0-8.0, standard 5.0-6.0)
• Too few signals → Lower thresholds or reduce detection strictness
• Adjust factor weights based on what appears in winning signals
What Makes This Original
1. Proprietary Market Pressure Index
Unique Methodology:
• Proportional intrabar allocation: Unlike binary volume classification (OBV), MPI uses close position within range for proportional pressure assignment
• Dual-timeframe normalization: EMA smoothing (14) + SMA normalization (28) for responsiveness with context
• Bounded oscillator with sensitivity control: -1 to +1 range enables cross-instrument comparison while sensitivity allows customization
• Active signal integration: MPI drives divergence detection, extreme requirements, exhaustion confirmation (not just display)
vs. Existing Indicators:
• MFI uses typical price × volume (different pressure measure)
• CMF accumulates over time (not bounded oscillator)
• OBV is cumulative and binary (not proportional or normalized)
2. Hierarchical Confluence Engine
Why Simple Mashups Fail: Most multi-indicator systems create decision paralysis (RSI says sell, MACD says buy).
This System's Solution:
• Six factors weighted by reliability (3.0 down to 1.0)
• Dual thresholds (premium 6.0, standard 4.0)
• Automatic signal triage by quality tier
• Color-coded visual prioritization
Orthogonal Detection: Each factor detects different failure mode:
• Divergence = momentum exhaustion
• Liquidity = institutional manipulation
• Order Flow = smart money positioning
• Wick = supply/demand rejection
• Volume = participation confirmation
• Velocity = parabolic exhaustion
Complementary, not redundant. Weighted synthesis creates unified confidence measure.
3. Self-Validating Performance System
The Problem: Most indicators never reveal actual performance. Traders never know if it works on their instrument.
This Solution:
• Forward-looking validation (signals tracked to pivot confirmation)
• Pivot-based success criteria (objective, mechanical)
• Segmented statistics (by direction and type)
• Real-time dashboard updates
Result: After 30-50 signals, you have statistically meaningful data on what actually works on your specific market. Transforms indicator into adaptive learning system.
Technical Notes
No Repainting:
• All signals use confirmed bar data (closed bars only)
• Pivot detection has inherent lookback lag (5 bars)
• Divergence lines drawn after confirmation (retroactive visualization)
• Signals fire on bar close
Forward-Looking Disclosure:
• Win rate validation looks forward 10 bars for pivot confirmation
• Creates forward bias in statistics , not signal generation
• Real-time performance may differ until validation period elapses
Lookback Limits:
• Fibonacci/S/R: Limited by limitDrawBars (default 100)
• MPI calculation: 28 bars maximum
• Signal storage: 20 per direction (configurable)
Visual Limits:
• Max lines/labels/boxes: 500 each
• Auto-clearing prevents overflow
Limitations & Disclaimers
Not a Complete Trading System:
• Does not provide stop loss, take profit, or position sizing
• Requires trader risk management and market context analysis
Reversal Bias:
• Designed specifically for reversal trading
• Not optimized for trend continuation or breakouts
Learning Period:
• Statistics meaningless until 20-30 mature signals
• Preferably 50+ for statistical confidence
Instrument Dependency:
• Best: Liquid instruments (major forex, large-caps, BTC/ETH)
• Poor: Illiquid small-caps, low-volume altcoins (order flow unreliable)
Timeframe Dependency:
• Optimal: 15m - 4H charts
• Not Recommended: <5m (noise) or >Daily (insufficient signals)
No Guarantee of Profit:
• Win rate >50% does not guarantee profitability (depends on RR, sizing, execution)
• Past performance ≠ future performance
• All trading involves risk of loss
Warning Signals:
• Warnings are NOT trade signals
• Trading warnings produces lower win rates
• For preparation only
Recommended Settings by Instrument
Forex Majors (15m-1H):
• MPI Sensitivity: 1.3-1.5 | Volume: 2.0 | Thresholds: 6.0/4.0
Crypto BTC/ETH (15m-4H):
• MPI Sensitivity: 2.0-2.5 | Volume: 2.5-3.0 | Velocity: 2.5-3.0 | Thresholds: 6.5-7.0/4.5-5.0
Large-Cap Stocks (5m-1H):
• MPI Sensitivity: 1.2-1.5 | Volume: 1.8-2.0 | Thresholds: 6.0/4.0
Index Futures ES/NQ (5m-30m):
• MPI Period: 10-14 | Sensitivity: 1.5 | Velocity: 1.8-2.0 | Thresholds: 5.5-6.0/4.0
Altcoins High Vol (1H-4H):
• MPI Period: 21 | Sensitivity: 2.0-3.0 | Volume: 3.0+ | Thresholds: 7.0-8.0/5.0 (very selective)
Alert Configuration
Built-In Alerts:
Bullish Signal (all types)
Bearish Signal (all types)
Bullish Divergence (DIV only)
Bearish Divergence (DIV only)
Setup:
• TradingView Alert → Select "Pressure Pivots - MPI"
• Choose condition
• Frequency: "Once Per Bar Close" (prevents repainting)
• Configure notifications (popup/email/SMS/webhook)
Recommended:
• Active traders: Enable all signals
• Selective traders: DIV only (highest quality)
In-Code Documentation
Every input parameter includes extensive tooltips (800+ words total) providing:
• What it controls
• How it affects calculations
• Range guidance (low/medium/high implications)
• Default justification
• Asset-specific recommendations
• Timeframe adjustments
Access: Hover over (i) icon next to any setting. Creates self-documenting learning system—no external docs required.
DskyzInvestments | Trade with insight. Trade with anticipation.
Volume Cluster Heatmap [BackQuant]Volume Cluster Heatmap
A visualization tool that maps traded volume across price levels over a chosen lookback period. It highlights where the market builds balance through heavy participation and where it moves efficiently through low-volume zones. By combining a heatmap, volume profile, and high/low volume node detection, this indicator reveals structural areas of support, resistance, and liquidity that drive price behavior.
What Are Volume Clusters?
A volume cluster is a horizontal aggregation of traded volume at specific price levels, showing where market participants concentrated their buying and selling.
High Volume Nodes (HVN) : Price levels with significant trading activity; often act as support or resistance.
Low Volume Nodes (LVN) : Price levels with little trading activity; price moves quickly through these areas, reflecting low liquidity.
Volume clusters help identify key structural zones, reveal potential reversals, and gauge market efficiency by highlighting where the market is balanced versus areas of thin liquidity.
By creating heatmaps, profiles, and highlighting high and low volume nodes (HVNs and LVNs), it allows traders to see where the market builds balance and where it moves efficiently through thin liquidity zones.
Example: Bitcoin breaking away from the high-volume zone near 118k and moving cleanly through the low-volume pocket around 113k–115k, illustrating how markets seek efficiency:
Core Features
Visual Analysis Components:
Heatmap Display : Displays volume intensity as colored boxes, lines, or a combination for a dynamic view of market participation.
Volume Profile Overlay : Shows cumulative volume per price level along the right-hand side of the chart.
HVN & LVN Labels : Marks high and low volume nodes with color-coded lines and labels.
Customizable Colors & Transparency : Adjust high and low volume colors and minimum transparency for clear differentiation.
Session Reset & Timeframe Control : Dynamically resets clusters at the start of new sessions or chosen timeframes (intraday, daily, weekly).
Alerts
HVN / LVN Alerts : Notify when price reaches a significant high or low volume node.
High Volume Zone Alerts : Trigger when price enters the top X% of cumulative volume, signaling key areas of market interest.
How It Works
Each bar’s volume is distributed proportionally across the horizontal price levels it touches. Over the lookback period, this builds a cumulative volume profile, identifying price levels with the most and least trading activity. The highest cumulative volume levels become HVNs, while the lowest are LVNs. A side volume profile shows aggregated volume per level, and a heatmap overlay visually reinforces market structure.
Applications for Traders
Identify strong support and resistance at HVNs.
Detect areas of low liquidity where price may move quickly (LVNs).
Determine market balance zones where price may consolidate.
Filter noise: because volume clusters aggregate activity into levels, minor fluctuations and irrelevant micro-moves are removed, simplifying analysis and improving strategy development.
Combine with other indicators such as VWAP, Supertrend, or CVD for higher-probability entries and exits.
Use volume clusters to anticipate price reactions to breaking points in thin liquidity zones.
Advanced Display Options
Heatmap Styles : Boxes, lines, or both. Boxes provide a traditional heatmap, lines are better for high granularity data.
Line Mode Example : Simplified line visualization for easier reading at high level counts:
Profile Width & Offset : Adjust spacing and placement of the volume profile for clarity alongside price.
Transparency Control : Lower transparency for more opaque visualization of high-volume zones.
Best Practices for Usage
Reduce the number of levels when using line mode to avoid clutter.
Use HVN and LVN markers in conjunction with volume profiles to plan entries and exits.
Apply session resets to monitor intraday vs. multi-day volume accumulation.
Combine with other technical indicators to confirm high-probability trading signals.
Watch price interactions with LVNs for potential rapid movements and with HVNs for possible support/resistance or reversals.
Technical Notes
Each bar contributes volume proportionally to the price levels it spans, creating a dynamic and accurate representation of traded interest.
Volume profiles are scaled and offset for visual clarity alongside live price.
Alerts are fully integrated for HVN/LVN interaction and high-volume zone entries.
Optimized to handle large lookback windows and numerous price levels efficiently without performance degradation.
This indicator is ideal for understanding market structure, detecting key liquidity areas, and filtering out noise to model price more accurately in high-frequency or algorithmic strategies.
Opening Range Gaps [TakingProphets]What is an Opening Range Gap (ORG)?
In ICT, the Opening Range Gap is defined as the price difference between the previous session’s close (e.g., 4:00 PM EST in U.S. indices) and the current day’s open (9:30 AM EST).
That gap is a liquidity void—an area where no trading occurred during regular hours.
Why ICT Traders Care About ORG
Liquidity Void (Gap Fill Logic)
-Because the gap is an untraded area, it naturally acts as a draw on liquidity.
-Price often seeks to rebalance by retracing into or fully filling this void.
Premium/Discount Sensitivity
-Once the ORG is defined, ICT treats it as a mini dealing range.
-Above EQ (Consequent Encroachment) = algorithmic premium (sell-sensitive).
-Below EQ = algorithmic discount (buy-sensitive).
-Price reaction at these levels gives a precise read on institutional intent intraday.
Support/Resistance from ORG
-If the session opens above prior close, the gap often acts as support until violated.
-If the session opens below prior close, the gap often acts as resistance until reclaimed.
Key ICT Concepts Anchored to ORG
Consequent Encroachment (CE): The midpoint of the gap. The algo is highly sensitive to CE as a decision point: reject → continuation; reclaim → reversal.
Draw on Liquidity (DoL): Price is algorithmically “pulled” toward gap fills, CE, or the opposite side of the ORG.
Order Flow Confirmation: If price ignores the gap and runs away from it, this signals strong institutional order flow in that direction.
Confluence with Other Tools: FVGs, OBs, and HTF PD arrays often overlap with ORG levels, strengthening setups.
Practical Application for Traders
Bias Formation:
Use ORG EQ as a line in the sand for intraday bias.
If price trades below ORG EQ after the open → look for short setups into the prior day’s low or external liquidity.
If price trades above ORG EQ → favor longs into highs/liquidity pools.
Execution Framework:
Wait for liquidity raids or market structure shifts at ORG edges (.00, .25, .50, .75).
Target: EQ, opposite quarter, or full gap fill.
Precision Reads:
ORG lines let traders anticipate where algorithms are likely to respond, providing mechanical invalidation and clear targets without clutter.
Rapid HTF Price Action DashboardRapid HTF Price Action Dashboard V2.0
Overview
Stop the constant switching between timeframes. The Rapid HTF Price Action Dashboard is an all-in-one analysis suite designed to give you a crystal-clear view of the market's true intent by projecting critical higher-timeframe (HTF) data directly onto your trading chart.
This tool is more than just a pattern indicator; it's a complete dashboard that provides institutional-grade insights into price action. It helps you anticipate market moves by showing you where liquidity lies and how the bigger players are positioning themselves, all from the comfort of your lower-timeframe chart.
Key Features
Multi-Timeframe Dashboard: A clean, intuitive panel on the right of your chart displays the last two closed higher-timeframe candles (Candle A & B) and the live, developing one (Candle C).
Projected HTF Levels: Automatically draws and projects the previous HTF candle's high and low across your chart, acting as critical dynamic support and resistance levels.
Advanced Pattern Recognition: Identifies seven high-conviction candlestick patterns based on our proprietary filtering system, designed to eliminate noise and pinpoint only the most potent signals.
The Logic: Why Our Signals Are More Accurate
This indicator goes far beyond textbook definitions. We don't just look for shapes; we look for the story behind the price action. Each pattern is filtered through a rigorous set of conditions to ensure it represents true market conviction.
Hammers & Inverted Hammers: The Liquidity Grab
Classic Hammer/IH patterns are often misleading. Ours are different. We identify them as true liquidity grab signals, a core concept used in ICT (Inner Circle Trader) methodologies.
A Hammer (H) is only valid if its low wick has pierced below the low of the previous candle (low < low ). This signifies a "stop hunt" where liquidity was absorbed below a key level before buyers aggressively pushed the price up.
An Inverted Hammer (IH) is only valid if its high wick has pierced above the high of the previous candle (high > high ). This shows liquidity was taken above a prior high before sellers took control and suppressed the price.
Harami: Filtering for Conviction
A classic Harami (an inside bar) can often just be a weak doji, signaling indecision. We filter this noise out.
Our Harami signal (BeH, BuH) requires the inside candle to have a meaningful body (defaulting to 30% of its own range, but fully customizable).
Furthermore, we have enhanced the logic to ensure the body of the inside candle is strictly contained within the body of the previous candle, making it a more precise and reliable signal of consolidation before a potential expansion.
Power Engulfing: A Signal of Overwhelming Force
We don't flag just any engulfing candle. We look for true displacement and momentum.
Our Power Engulfing pattern (BE, BuE) requires the body of the current candle to completely engulf the body of the previous candle.
Crucially, it must also close decisively beyond the entire range (including the wick) of the previous candle. A Bullish Engulfing must close above the previous high, and a Bearish Engulfing must close below the previous low. This confirms overwhelming force has entered the market and a reversal is highly probable.
How to Use the Dashboard
Set Your Reference Timeframe (refTF): Choose the higher timeframe you want to analyze (e.g., "240" for 4-Hour).
Identify the Narrative: Use the projected High/Low lines as your key support and resistance zones. A primary strategy is to wait for price to interact with these levels.
Anticipate the Draw on Liquidity: Watch as price approaches the previous HTF high or low. The dashboard helps you predict the market's next move. For example, if price is trading below the previous HTF low, you can anticipate a potential sweep of that level.
Confirm with a Signal: When a signal like a Hammer (H) appears on the dashboard after sweeping the previous low, it provides high-conviction confirmation that liquidity has been taken and price is ready to reverse.
Ultra VolumeVisualizes volume intensity using dynamic color gradients and percentile thresholds. Includes optional SMA, bar coloring, and adaptive liquidity boxes to highlight high- and low-volume zones in real time.
Introduction
The Ultra Volume indicator enhances volume analysis by categorizing volume bars into percentile-based intensity levels. It uses color-coded gradients to quickly identify periods of unusually high or low activity. The script also includes an optional simple moving average (SMA), bar coloring, and visual box overlays to highlight zones of significant liquidity shifts.
Detailed Description
.........
Volume Classification
Volume is segmented into five tiers: Extra High, High, Medium, Normal, and Low, using percentile ranks calculated over a dynamically adjusted historical window. This segmentation adapts based on the chart's timeframe – using 100 bars for daily and 1440/minutes for intraday – allowing for consistent behavior across resolutions.
.....
Color Gradients
Each volume bar is colored based on its percentile category, smoothly transitioning between thresholds for visual clarity. This makes it easy to spot volume spikes or droughts relative to recent history.
.....
Simple Moving Average (SMA)
An optional SMA can be plotted on top of the volume bars for trend comparison and baseline reference. Its length and color are fully customizable.
.....
Bar Coloring
You can optionally color the chart's candlesticks to reflect the same volume intensity as the histogram bars, reinforcing visual cues across the chart.
.....
Liquidity Boxes
Two adaptive box systems highlight zones of increased or decreased liquidity:
High Liquidity Boxes expand upward when price exceeds the previous box’s top.
Low Liquidity Boxes expand downward when price breaks the previous box’s bottom.
These boxes persist and auto-adjust over time unless reset, helping traders spot key zones of volume-driven price action.
.....
Box Indexing
A configurable index shift determines how far back in the chart the boxes originate. Setting this to 501 makes them "stick" to the candle where they were first created.
.....
Data Handling
A safety check ensures the script throws an error if volume data is unavailable (e.g., for some crypto or CFD symbols).
.........
Summary
Ultra Volume is a practical tool for traders who want more than just raw volume bars. With intelligent percentile-based classification, real-time adaptive liquidity zones, and fully customizable visual elements, it turns volume into a highly readable, actionable signal.
CandelaCharts - Fractal Range Model📝 Overview
The Fractal Range Model (FRM) is an all-encompassing and sophisticated trading framework that incorporates multiple market dynamics to provide a deeper understanding of price movements.
This model is built around several key principles, including Market Swing Points, Sweeps, Candle Mean, and Change in State of Delivery (CISD), which together offer a nuanced and effective approach to trading.
At its core, the model focuses on Market Swing Points, which represent crucial turning points in the market where price action shifts direction.
These points provide insight into potential reversals and momentum changes, allowing traders to identify key support and resistance areas.
Recognizing these swings is critical in anticipating future price movements and understanding the market’s underlying structure.
The Fractal Range Model (FRM) is a versatile trading strategy that adapts to various styles, whether you're into scalping, day trading, swing trading, or long-term investment. Its flexibility makes it suitable for traders with different time horizons and risk preferences, allowing it to be effectively applied across multiple market conditions.
📦 Features
Timeframe Alignment: This indicator reveals lower Timeframe movements within higher Timeframe candles, offering insights into micro trends, structure shifts, and key entry points.
Bias Selection: This feature lets analysts control bias and setup detection, viewing bullish, bearish, or neutral formations to align with higher Timeframe trends.
Double Purge Sweeps: A double purge is a type of Sweep where the price exceeds both the high and low of the previous candle (via wicks) and then closes within the range of the prior candle.
Time Filters: Sync Time and price by selecting custom Time windows to focus on relevant formations.
Higher Timeframe Candles: The Fractal Range Model integrates ICT Power of Three, helping traders spot key turning points and market transitions across Timeframes.
Higher Timeframe PD Arrays: The HTF PD Arrays (FVG, IFVG) are key points of interest that indicate significant market levels where valid sweeps are likely to occur.
Lower Timeframe PD Arrays: The LTF PD Arrays (FVG, IFVG), on the other hand, are used for identifying entry points.
Smart Money Technique: In the context of the Fractal Range Model (FRM), the SMT (Smart Money Technique) serves as a crucial confluence indicator that strengthens the reliability of a formed model.
Info Panel: Display a customizable table with key details like timeframe pairing, time to next candle close, bias, and time filter settings, with full control over size, location, and borders.
Suitable for any Market: Ideal for all markets - stocks, forex, crypto, futures, commodities and more - delivering consistent results and insights across diverse trading environments.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing will be used
Mean: Plots the equilibrium of the previous HTF candle
Liquidity: Displays the liquidity levels that belongs to the model
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
CISD: Displays the Change In State of Delivery for a model
Labels: Adjust the HTF candle label size
C-area: Highlights the region between current candle open and previous candle equilibrium
History
History: Controls the mount of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
Open: Highlights with a line the open price of current HTF candle
Show True Day Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
LTF
H/L Line: Displays on the LTF chart High and Low of each HTF candle
O/C Line: Displays on the LTF chart Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
Projections
StDev: Controls standard deviation available levels
Labels: Controls the size of standard deviation levels
Anchor: Controls the anchor point of standard deviation levels (wick, body)
Lines: Controls the line widths and color of standard deviation levels
SMT
Show: Display SMT
Symbol: Symbol 1
Symbol: Symbol 2
Style: Controls the color of Bearish and Bullish SMTs
Dashboard
Panel: Display information about current model
💡 Framework
The model includes the following timeframe parings:
15s - 5m
1m - 15m
1m - 30m
2m - 20m
3m - 30m
3m - 60m
5m - 1H
15m - 4H
15m - 8H
30m - 9H
30m - 12H
1H - 1D
2H - 2D
3H - 3D
4H - 1W
8H - 2W
12H - 3W
1D - 1M
2D - 2M
1W - 3M
2W - 6M
3W - 9M
1M - 12M
The Fractal Range Model follows a specific lifecycle, which highlights the current state of the model and determines whether a trade opportunity is valid.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Success (green)
1. Formation
The Formation phase marks the initial setup of the Fractal Range Model. During this stage, the model identifies and plots key components, such as:
Sweeps: Market movements that indicate a potential reversal or strong shift in trend.
CISD (Change In State of Delivery): A structural change that provides insight into trend shifts.
Once these components are detected, the model automatically calculates and displays Projections and Liquidity Levels , offering insights into potential price action movements.
At this stage, the model also identifies and displays the following key elements:
HTF PD Arrays (Higher-Timeframe Price Delivery Arrays)
LTF PD Arrays (Lower-Timeframe Price Delivery Arrays)
Smart Money Technique (SMT)
If any of these elements are present, they will be automatically displayed on the chart.
2. Invalidation
A Fractal Range Model is considered invalidated when the price does not reach the 2 Standard Deviation level or the first identified liquidity level, and when the price breaks above the high that formed the Sweep.
Invalidation signals that the original setup is no longer reliable, and traders should avoid taking action based on the model's original parameters.
Key invalidation conditions:
Price fails to reach the 2 Standard Deviation level.
Price fails to reach the first liquidity level.
Price breaks the high/low that initiated the Sweep.
A potentially invalidated model is marked with a purple color above the label, indicating the sweep is invalidated by the next candle, but not the high that formed the sweep.
3. Success
A Fractal Range Model is considered successful when the price reaches the 2 Standard Deviation level or the first identified liquidity level. This indicates that the model's predictions align with actual market movements, confirming the setup's validity and providing a potential trading signal.
At this stage, alongside Projections and Liquidity levels, you'll also notice the C-area — the region between the current candle's open and the previous candle's mean. If respected, price action will follow the model's direction.
Key success conditions:
Price reaches the 2 Standard Deviation level.
Price reaches the first liquidity level.
By leveraging these phases, Formation, Invalidation, and Success, traders can effectively manage their positions, minimize risk, and capitalize on high-probability setups based on the Fractal Range Model.
⚡️ Showcase
Introducing Fractal Range Model is a powerful trading tool designed to elevate your market analysis and boost your trading success. Built with precision and advanced algorithms, this indicator helps you identify key trends, potential entry and exit points, and optimize your strategy for better decision-making.
History
HTF Candles
HTF PD Arrays
LTF PD Arrays
SMT
Unlock your full trading potential and experience the difference with Fractal Range Model — your ultimate tool for smarter, more informed trading decisions.
🚨 Alerts
This script offers alert options for all model types. The alerts need to be setup manually from Tradingview.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a high sweep and CISD.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a low sweep and CISD.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Big Whale Finder (BWF)The Big Whale Finder (BWF) indicator is a technical analysis tool designed to detect large, hidden orders in financial markets. These orders, often placed by institutional traders or "whales," are significant in size but executed in a way that minimizes their impact on the market price.
This tool uses volume-based analysis to identify these orders, focusing on the detection of unusual volume spikes occurring in price regions where the market remains stagnant or shows minimal movement. The indicator aims to help traders identify potential areas of institutional activity, providing a strategic advantage by recognizing patterns of hidden liquidity.
Core Logic and Methodology
The BWF indicator combines two key factors to identify potential "whale" activity:
Volume Analysis: The first condition evaluates the volume relative to its average over a defined period. This is done by calculating the Simple Moving Average (SMA) of the volume and comparing current volume levels against this average. When the volume is significantly higher than the historical average, it signals the presence of a potentially large order.
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
According to market theory, large trades or "whale" activities often require substantial volumes to be executed. Identifying these anomalies can offer insights into the behavior of institutional players who seek to execute large transactions without disturbing the market (Lo, 2004).
Price Movement Analysis: The second condition considers the price change in relation to the volume. Specifically, if high volumes are detected but the price remains relatively stable, this suggests that large orders are being executed without significantly impacting the market price.
This phenomenon often occurs in "liquidity pools" or through algorithms designed to mask the true size of the orders. The indicator uses a price change threshold to identify this stagnation, with the condition that price movement remains below a certain percentage threshold.
Price Stagnation=(∣Close−Open∣Open)
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG🔵 Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
🟣 Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areas—Order Block or FVG—and reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
🟣 Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Level—a crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areas—the Bearish Order Block or FVG—and reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
🔵 Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15–8:30 AM for identifying High and Low points, and 8:30–8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15–9:30 AM for identifying High and Low points, and 9:30–9:45 AM for executing the Judas move and CISD Level break.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
ICT Macros [LuxAlgo]The ICT Macros indicator aims to highlight & classify ICT Macros, which are time intervals where algorithmic trading takes place to interact with existing liquidity or to create new liquidity.
🔶 SETTINGS
🔹 Macros
Macro Time options (such as '09:50 AM 10:10'): Enable specific macro display.
Top Line , Mid Line , Bottom Line and Extending Lines options: Controls the lines for the specific macro.
🔹 Macro Classification
Length : A length to detect Market Structure Brakes and classify macro type based on detection.
Swing Area : Swing or Liquidity Area selection, highest/lowest of the wick or the candle bodies.
Accumulation , Manipulation and Expansion color options for the classified macros.
🔹 Others
Macro Texts : Controls both the size and the visibility of the macro text.
Alert Macro Times in Advance (Minutes) : This option will plot a vertical line presenting the start of the next macro time. The line will not appear all the time, but it will be there based on remaining minutes specified in the option.
Daylight Saving Time (DST) : Adjust time appropriate to Daylight Saving Time of the specific region.
🔶 USAGE
A macro is a way to automate a task or procedure which you perform on a regular basis.
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
To trade these effectively, it is important to understand the time of day when certain macros come into play, and it is strongly advised to introduce the concept of liquidity in your analysis.
Macros can be classified into three categories where the Macro classification is calculated based on the Market Structure prior to macro and the Market Structure during the macro duration:
Manipulation Macro
Manipulation macros are characterized by liquidity being swept both on the buyside and sellside.
Expansion Macro
Expansion macros are characterized by liquidity being swept only on the buyside or sellside. Prices within these macros are highly correlated with the overall trend.
Accumulation Macro
Accumulation macros are characterized by an accumulation of liquidity. Prices within these macros tend to range.
The script returns the maximum/minimum price values reached during the macro interval alongside the average between the maximum/minimum and extends them until a new macro starts. These levels can act as supports and resistances.
🔶 DETAILS
All required data for the macro detection and classification is retrieved using 1 minute data sets, this includes candles as well as pivot/swing highs and lows. This approach guarantees the visually presented objects are same (same highs/lows) on higher timeframes as well as the macro classification remain same as it is in 1 min charts.
8 Macros can be displayed by the script (4 are enabled by default):
02:33 AM 03:00 London Macro
04:03 AM 04:30 London Macro
08:50 AM 09:10 New York Macro
09:50 AM 10:10 New York Macro
10:50 AM 11:10 New York Macro
11:50 AM 12:10 New York Launch Macro
13:10 PM 13:40 New York Macro
15:15 PM 15:45 New York Macro
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in advance of the next Macro time, where the value specified in 'Alert Macro Times in Advance (Minutes)' option indicates how early to be notified.
🔶 LIMITATIONS
The script is supported on 1 min, 3 mins and 5 mins charts.
🔶 RELATED SCRIPTS
X-trend Liquidation Heatmap 🔥 X-TREND Liquidation Heatmap: Market Fuel Visualization
Stop trading blindly. X-Trend Liquidation Heatmap is an institutional-grade analytical tool designed to reveal what remains hidden from most retail traders: where the crowd's money is located.
The market always moves from liquidity to liquidity. This script transforms your chart into a professional heatmap, highlighting the specific price zones where stop-losses and liquidation levels of leveraged traders (10x, 25x, 50x, 100x) are concentrated. These are not just support and resistance lines—they are magnets for price action.
💎 WHAT YOU SEE ON THE CHART:
🟣 Liquidity Gradient Heatmap: Our unique algorithm visualizes the "density" of resting orders.
Faint Zones: Liquidation levels of low leverage positions (10x-25x).
Bright Neon Zones: Dense clusters of high leverage liquidations (50x-100x). Price often spikes through these zones to "sweep" the liquidity.
🟡 Gold Zones (Tested Liquidity): Areas of maximum interest that price has touched but not broken. These represent critical defense levels protected by market makers.
📊 Market Pressure Dashboard: A built-in panel analyzes Buyer/Seller pressure across all timeframes (LTF, MTF, HTF) + BTC Correlation. You get a clear numerical view of market sentiment (e.g., "Total 92% Long Pressure").
HOW TO USE IT? Stop placing your stop-losses where everyone else does. Use these zones as targets for Take Profit (exit into the crowd's liquidity) or look for reversal patterns when price "sweeps" a bright zone.
🚀 Perfect Synergy: Use the Heatmap to define your TARGETS, and use X-Trend Reversal (PRO) to pinpoint the exact ENTRY.
🔒 HOW TO GET ACCESS (INVITE-ONLY)
This script is a closed-source proprietary tool. Access is granted exclusively through our official channels.
⛔ NOTE: We do NOT respond to access requests in the comment section below. Please use the links above for instant support and license activation.
Global Market Scanner [Armi Goldman]Concept
This indicator is designed to provide a comprehensive "Bird's Eye View" of the global financial economy. Instead of focusing on a single chart, this dashboard allows traders to monitor capital rotation across every major asset class simultaneously. By tracking the Money Flux (daily percentage change) of these markets, users can instantly identify if the market environment is "Risk-On" (flowing into assets) or "Risk-Off" (fleeing to cash/bonds).
Features
The dashboard displays a real-time table in the top-right corner tracking 9 key sectors:
US M2 Money Supply: The broad measure of liquidity availability.
US Dollar (DXY): The global currency baseline.
Global Stocks (VT): World equities performance.
Crypto Market: Total cryptocurrency market capitalization.
Commodities: Gold, Silver, and Crude Oil (WTI).
Real Estate: Vanguard Real Estate ETF (VNQ).
Bonds: US Aggregate Bond Market.
How it Works
The script utilizes request.security() to fetch data from multiple asset classes regardless of the chart you are currently viewing.
Flux Calculation: The "Flux" column calculates the daily percentage change (Close - Open) / Open. This reveals the immediate direction of capital flow for the current session.
M2 Trend: For the Money Supply, the script calculates a 30-day rate of change to determine if the Fed is effectively "Inflating" (adding liquidity) or "Tightening" (removing liquidity).
Status Logic: The status column uses conditional logic to assign readable labels (e.g., "INFLOW" vs "OUTFLOW" or "STRONGER" vs "WEAKER") based on the positive or negative value of the Flux.
How to Use
Risk-On Signal: If Stocks, Crypto, and Real Estate show green "INFLOW" status while the Dollar (DXY) is red, capital is deploying into risk assets.
Flight to Safety: If Gold and Bonds are green while Equities are red, investors may be hedging against fear.
Cash is King: If DXY is strong (Green) and almost all other assets are red, liquidity is drying up and moving into Cash.
Liquidity Watch: Monitor the US M2 Supply. A simplified view is that when M2 is "Inflating," it provides a long-term tailwind for asset prices.
Tickers Used
Liquidity: ECONOMICS:USM2
Currency: TVC:DXY
Equities: AMEX:VT (Total World Stock ETF)
Real Estate: AMEX:VNQ (Vanguard Real Estate)
Bonds: AMEX:AGG
Commodities: TVC:GOLD, TVC:SILVER, TVC:USOIL
Crypto: CRYPTOCAP:TOTAL
Disclaimer This tool is for informational purposes only and does not constitute financial advice.
LEGEND IsoPulse Fusion Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar
One line summary
LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable.
What this script is and why it exists
Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on.
LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order.
IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory.
Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates.
What makes it original and useful
Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky.
Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew.
Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context.
Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability.
Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict.
How to read the screen in seconds
Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings.
Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope.
Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears.
Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position.
HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold.
What signals actually mean
Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat.
Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat.
Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold.
Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity.
Inputs and practical tuning
Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work.
Setup
Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer.
Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw.
Fusion and thresholds
Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive.
Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation.
Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes.
Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness.
Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back.
Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop.
Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode.
IsoPulse
Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols.
Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior.
Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability.
Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases.
Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory.
IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes.
Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events.
Entry sensitivity and exit fraction
Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral.
Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols.
Visuals and UX
Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line.
HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market.
Letters . B S C T A are informative and compact. For screenshots you can toggle them off.
Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use.
Quick start recipes
Scalping one to five minutes
Core window in the thirties to low fifties.
Horizon around five to eight.
Entry percentile around seventy five.
Exit fraction around zero point five five.
Order threshold around zero point one zero.
Avoid level around one point three zero.
Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside.
Intraday five to thirty minutes
Core window around fifty to eighty.
Horizon around ten to twelve.
Entry percentile around eighty.
Exit fraction around zero point five five to zero point six zero.
Order threshold around zero point one five.
Avoid level around one point two five.
Swing one hour to daily
Core window around eighty to one hundred twenty.
Horizon around twelve to twenty.
Entry percentile around eighty to eighty five.
Exit fraction around zero point six zero to zero point seven zero.
Order threshold around zero point two zero.
Avoid level around one point two zero.
How to connect signals to your risk plan
This is an indicator. You remain in control of orders and risk.
Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance.
Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan.
Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing.
Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed.
Limitations and honest notes
No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time.
No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes.
No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable.
Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications.
Internal logic walkthrough
LEGEND feature block
Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility.
Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful.
Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades.
Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols.
Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign.
Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit.
IsoPulse block
Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor.
Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it.
Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure.
Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory.
IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range.
Fusion and events
Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable.
Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly.
Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change.
Disclosures
This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results.
Closing thoughts
Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Marubozu Detector with Dynamic SL/TP
Strategy Overview:
This indicator detects a "Marubozu" bullish pattern or a “Marubozu” bearish pattern to suggest potential buy and sell opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
Key Features:
Entry: Based on detecting Marubozu bullish or bearish candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs or swing lows).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
All Time Frames
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Marubozu" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Look for Sell Signals:
A Sell signal is triggered when the script detects a "Marubozu" bearish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
Rapid ICT Suite - MTF Concepts & iFVGTitle: Rapid ICT Suite - MTF Concepts & iFVG
Overview
Unlock a new level of market analysis with the Rapid ICT Suite, a comprehensive, all-in-one indicator designed for the discerning price action trader. This powerful tool merges two distinct analytical engines into one seamless experience, allowing you to overlay critical Higher Timeframe (HTF) market structure onto your current chart while simultaneously tracking real-time Fair Value Gaps (FVGs) and their inversions (iFVGs).
Whether you are a scalper needing to respect 1H structure, a day trader aligning with the 4H bias, or a swing trader mapping the daily trend, this indicator provides the clarity and context you need to make higher-probability trading decisions. It was built from the ground up to solve common issues traders face, delivering stable, precise, and flexible analysis.
The Strategy: Targeting IRL with iFVG Entries
The Destination (The "Why"): Internal Range Liquidity (IRL)
On a Higher Timeframe (HTF), we will identify major Internal Range Liquidity (IRL) zones. In the context of ICT, IRL simply refers to unmitigated Fair Value Gaps (FVGs) that exist within a broader trading range.
These HTF FVGs act as powerful magnets for price. The market will often seek out these zones to rebalance before continuing its next major move. By plotting these on our chart, we establish a clear directional bias and a high-probability target. Our indicator will now label these HTF FVG boxes as "IRL".
The Entry Signal (The "How"): Inverted Fair Value Gaps (iFVG)
Once we have our HTF IRL target, we drop down to our Lower Timeframe (LTF) for execution.
We wait for price to create an Inverted Fair Value Gap (iFVG). An iFVG is a regular FVG that has failed and been traded through, signifying a shift in momentum.
An iFVG appearing on the LTF provides a high-precision entry signal to take a trade in the direction of the HTF IRL zone. It's our confirmation that the market is likely now making its move towards that destination.
Key Features
Multi-Timeframe Order Blocks (Boxes): Automatically identify and plot key HTF demand and supply zones (Order Blocks) onto your chart.
Multi-Timeframe Fair Value Gaps (Boxes): See where HTF imbalances exist, giving you a clear map of institutional reference points and potential targets.
Multi-Timeframe Liquidity Pools (Boxes): Pinpoint where buy-side and sell-side liquidity is likely resting, based on clusters of old highs and lows.
Current Timeframe FVG & iFVG (Lines/Labels): A second, independent engine tracks FVGs on your chosen timeframe, monitors them for mitigation, and automatically identifies when an FVG has been inverted (iFVG), a crucial shift in market dynamics.
The "Rapid" Advantage: Solving Trader Frustrations
This indicator was engineered to overcome three of the most common problems with technical indicators:
1. ✅ No More Flickering or "Ghost" Signals
The Problem: Many indicators show signals on the live, forming candle. This causes zones or signals to appear and disappear ("flicker"), leading to confusion and false entries.
The Solution: The Rapid ICT Suite uses 100% confirmed, closed-candle data for all its calculations (OB, FVG, and Liquidity). A zone will only appear on your chart after the price action that confirms it is complete. This means every signal is stable, reliable, and non-repainting.
2. ✅ Frame-Perfect, Precise Placement
The Problem: Indicators that use lookback logic often draw their signals one candle too late, causing a visual disconnect between the price pattern and the signal itself.
The Solution: We have corrected this common flaw. Every box and line is drawn starting from the exact confirmation candle of the pattern. This frame-perfect precision is critical for accurate analysis and planning your entries.
3. ✅ The Dual Analysis Engine: Uncluttered & Flexible
The Problem: Trying to analyze multiple timeframes at once can lead to cluttered charts and mental overload .
The Solution: This suite contains two independent parts that you can control separately.
Part 1 gives you the macro context—the HTF structure where big moves originate.
Part 2 gives you the micro details—the real-time FVG and iFVG story on your trading timeframe.
Use them together for a complete picture, or toggle one off to focus on a specific aspect of your strategy. This flexibility keeps your workspace clean and your analysis sharp.
How to Use & Settings Explained
The indicator settings are neatly organized into two main parts.
Part 1: MTF Concepts (OB, FVG, Liq)
This section controls the Higher Timeframe boxes that are overlaid onto your current chart.
Higher-TF for OB/FVG/Liq: This is the most important setting. Select the higher timeframe you want to analyze. For example, if you are trading on the 15-minute chart, you might set this to 240 (4-Hour) to see the key 4H zones.
Show Order-Blocks / FVGs / Liquidity: Simple toggles to turn each type of HTF zone on or off.
Max... Count: Controls how many of the most recent zones are displayed on the chart, preventing clutter from old, irrelevant zones.
Part 2: FVG & iFVG (Lines/Labels)
This section controls the second engine, which analyzes FVGs and iFVGs on its own selected timeframe.
Timeframe for FVG/iFVG: Choose the timeframe for this analysis. You can leave it blank to use your current chart's timeframe, or set it to a specific one.
Mitigation Type & Mitigation %: A powerful feature to define when an FVG is considered "used up."
Type: Choose if mitigation is counted from the candle's Wick or Close.
Percent: Set how far price must retrace into an FVG (e.g., 50%) before it is considered mitigated and the lines are removed from your chart.
FVG/iFVG Count: Controls how many of the most recent FVG/iFVG zones are displayed.
Style & Color Settings: Fully customize the appearance of the lines and labels to match your chart theme.
Final Words
This indicator was built to provide actionable clarity. By understanding the interplay between higher-timeframe structure and current price action, you can significantly enhance your trading edge. Thank you for choosing the Rapid ICT Suite.
Happy trading!
Price Action Three Soldiers Strategy Buy&Sell TP&SLStrategy Overview:
This indicator detects a "Three White Soldiers" bullish pattern to suggest potential buy opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
📈 Key Features:
Entry: Based on detecting Three White Soldiers candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
⚙️ User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Three White Soldiers" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
LIT - ConfirmationsOverview
The LIT - Confirmations Indicator is a dynamic checklist tool designed for traders who uses LIT Strategy (Liquidity Inducement Theory) following liquidity and smart money concepts as benefit. This tool allows users to document and track essential trading confirmations directly on their TradingView charts, offering a structured and visual approach to market analysis.
What Makes This Unique?
Unlike other open-source tools, the LIT - Confirmations Indicator introduces a fully interactive and customizable table directly on the chart. This table provides real-time feedback with clear ✅ (checked) and ❌ (unchecked) visual indicators for each confirmation. The user can position the table on the chart according to their preference, ensuring it integrates seamlessly into their trading workflow without obscuring critical chart data.
How It Works
1. Predefined Confirmations
The indicator includes a set of commonly used trading confirmations:
Identify Liquidity: Mark areas where liquidity might pool.
Inducement: Confirm the presence of inducements before market reversals.
Relevant Break of Structure (BOS): Validate critical structural changes.
Mitigation after RBoS: Check for mitigation following a BOS.
Smart Money Trap (SMT): Identify traps often utilized by smart money.
Timing: Ensure trades are entered during high-probability time windows.
Mitigation to the Leftside: Confirm whether price action aligns with prior mitigations.
Set Targets: Define and document logical take-profit or stop-loss levels.
2.Interactive Table Display
A table is dynamically created on the chart, showing all confirmations with their current state (checked or unchecked).
Users can choose the position of the table (top, middle, or bottom and left, center, or right) and customize its background color for better visibility.
3. Customization
All confirmations are toggled through the input settings, allowing traders to adapt the indicator to their unique strategies.
The display can be easily adjusted to match the trader’s preferences without cluttering the chart.
How to Use
1. Add the indicator to your chart.
2. Open the settings panel to activate the relevant confirmations for your analysis.
3. Use the Display Settings section to adjust the table's position and background color.
4. View the table on your chart to track selected confirmations in real-time.
Who Is This For?
This indicator is ideal for traders who:
Use Liquidity Inducent Theory strategy in their analysis.
Prefer a structured and systematic trading approach.
Need an on-chart tool to document confirmations without relying on external notes or tools.
Why Closed Source?
The logic behind the interactive table and confirmation system is specifically tailored to LIT practitioners and is not publicly available in existing open-source scripts. The closed-source nature of this script protects its unique implementation, ensuring the integrity and exclusivity of the tool.
Disclaimer
This indicator does not provide trading signals or strategies. It is a tool to document user-defined confirmations and should be used in conjunction with a thorough understanding of market behavior and risk management practices.
GibbsFunctional Categories
Time Management
Timezone Settings: Configurable to adjust for different global time zones (e.g., GMT, GMT+1).
Daily and Weekly Resets: Functions to detect new days and weeks, used to mark specific periods on the chart.
Session Range Calculation: Ability to determine timeframes in minutes, hours, days, weeks, and months for precise market analysis.
Day and Week Separators
Daily Separators: Option to display daily separators that demarcate different trading days on the chart.
Weekends Highlight: Automatically grays out weekends for easy visual distinction.
Trading Sessions
Custom Sessions: Display trading sessions, such as:
Kill Zones: Morning and afternoon trading zones with customizable time ranges and background highlights.
Asian Session: Highlights the Asian market hours with liquidity data.
Session Background: Customizable colors for different sessions to visually separate them on the chart.
Liquidity Management
High and Low Points: Tracks previous day and week high/low prices, marking them for reference.
Labeling: Uses labels and lines to indicate if significant liquidity levels have been breached.
Session Liquidity: Identifies areas where liquidity is likely to accumulate, marking high and low ranges for Asian, CBDR, and other sessions.
Session-Specific Features
CBDR (Central Bank Dealers Range): Marks specific ranges based on sessions relevant for market analysis.
Range Projections: Projects key levels based on the size of the CBDR range for additional price targets.
Previous Day CBDR: Option to display CBDR from the previous day, aiding in historical price movement analysis.
Header and Display Customization
Header Text: Customizable text for the indicator's header to provide a quick reference.
Table Management: Simple table for organizing and displaying important textual information.
This indicator is ideal for traders who focus on session-based strategies and wish to have comprehensive visibility of previous liquidity points, trading zones, and day/week high and low levels on their charts.
EGX30 Advance/Decline Line
📈 EGX30 Advance/Decline Line Indicator: Overview and Usage
The EGX30 Advance/Decline Line indicator is a comprehensive tool designed to analyze the market breadth and sentiment of the EGX30 index by aggregating and visualizing statistics from its 29 component stocks. It goes beyond simple price action to provide deeper insights into the underlying strength or weakness of the index's movers.
This script allows users to select from five primary metrics and includes advanced features like automatic parameter configuration based on the chart's timeframe and a detailed information table summarizing the day's market activity.
Key Features and Available Metrics
You can select one of the following primary metrics from the 'Select Metric' dropdown menu:
1. Advance/Decline Line (A/D Line):
Plots the cumulative total of Net Advances (Advancing Issues - Declining Issues).
It is used to confirm the index's trend or warn of divergences, where the index is rising but the A/D line is falling (suggesting fewer stocks are participating in the rally).
Includes a Zero Line and a configurable Simple Moving Average (SMA).
2. McClellan Oscillator (MCC):
A breadth oscillator based on the difference between two Exponential Moving Averages (EMAs) of the Advance/Decline Ratio.
It measures the speed and direction of market breadth momentum.
Includes a Buy Climax (0.1) and Sell Climax (-0.1) dotted lines to identify overbought/oversold conditions.
3. Arms Index (TRIN - TRading INdex):
A volume-based oscillator that compares the ratio of Advancing Issues/Declining Issues to the ratio of Advancing Volume/Declining Volume.
A reading above 1.0 (Neutral Level) suggests selling pressure (Declining Volume is relatively high), while a reading below 1.0 suggests buying pressure (Advancing Volume is relatively high).
Includes a Neutral Level (1.0) and Upper/Lower Bands based on Standard Deviation to identify Overbought/Oversold extremes.
4. Total Volume:
Plots the aggregated total volume for all 29 EGX30 component stocks.
Includes a SMA for trend comparison.
5. Total Liquidity:
Plots the aggregated total traded value (Price * Volume) for all 29 component stocks.
A measure of overall capital movement in the index components.
Includes a SMA for trend comparison.
⚙️ Configuration Settings
The indicator includes two primary configuration groups:
Timeframe Configuration
▶️ Enable Automatic Timeframe Configuration: When enabled (default), the script automatically optimizes the lookback lengths for the Moving Averages (MA), McClellan Oscillator, and TRIN based on whether the chart is set to an Intraday, Daily, or Weekly timeframe.
⚙️ Manual Overrides: Disable the automatic configuration to manually set the lengths for MA Length, McClellan Fast EMA, McClellan Slow EMA, and TRIN Lookback.
Table Settings
The indicator displays a table in the top-right corner summarizing key market breadth statistics.
Number of Top Contributors: Sets the number of top stocks (up to 29) to display in the table.
Show Top Contributors (Performance): Shows the stocks with the largest absolute index-weighted contribution to the EGX30's movement.
Show Top Contributors (Volume): Shows the stocks with the highest traded value (liquidity), displayed as a percentage of the total traded value.
The table also provides a persistent summary of:
Advancing, Declining, and Unchanged Issues.
Net Advancements (unless TRIN is selected).
Net Volume % and Net Liquidity %.
Mode-specific statistics like Total Volume/Liquidity or Advancing/Declining Volume.
ScalpDaddy V3ScalpDaddy bundles eight battle‑tested tools into a single, toggleable overlay for fast confluence and clean charts. It’s designed for intraday scalpers and swing traders who want a lightweight dashboard plus precision levels and volatility context—without juggling multiple indicators.
What’s Inside (all can be turned on/off)
SD: Trend Sniper (MTF RSI/ADX table)
8‑TF heatmap with emoji glyphs (momentum/strength/chop).
Weighted bias meter, HTF dominance and adjacency bonus to reward agreement.
Tiny Entry‑Qualifier dashboard (Trend, Throttle, Quality, Boost) for quick “go/no‑go”.
SD: Squeeze (BB/KC)
Bollinger Bands + Keltner Channel with squeeze fill for compression/expansion reads.
SD: Fibonacci Levels
Swing‑aware fib grid with instant flip option, reject band, extension gates, target‑zone shading, and labels.
SD: PM/AH/RTH Levels
Prior extended‑hours and prior RTH high/low, with dynamic/previous‑only modes.
SD: Pivot Points (Structure)
Clean, confirmed pivot markers to visualize HH/HL/LH/LL, BOS/MSS turns.
SD: Liquidity Sweeper
Buyside/Sellside liquidity pools with live maintenance and optional invalidation highlighting.
SD: FVG Finder
Present/Full‑history scan with budget controls, configurable fill logic and coloring.
SD: Fourier ATR
Smoothed ATR “center line” with envelope; optional labels when price exits/re‑enters the band.
Quick Start
Open inputs. In “SD: Modules,” enable only what you need for the session.
For Trend Sniper:
Pick “Table TF Preset” (e.g., fibs day trade, scalp, short/long swing) or enable “Custom TFs” and set each TF.
Choose Update Mode: “Live” for intrabar responsiveness or “On Close” for confirmed, non‑flickering signals.
Table and mini dashboard positions are configurable.
Optional confluence:
Turn on Squeeze to spot compression before Trend Sniper shifts.
Add Sessions + Liquidity + FVG to map targets/voids and where price is likely to react.
Use ATR Envelope to gauge when price is stretching outside normal travel.
How To Read The Trend Sniper Table
Emojis:
🚀/🔥 = bullish pressure; ⚓️/🩸 = bearish pressure; 🪓 = chop; ⚠️ = caution (e.g., OB/OS with strong ADX).
Bias:
A normalized, weighted read of the 8 TFs. The default thresholds used for alerts: +0.30 (bullish) / −0.30 (bearish).
HTF dominance:
When enabled, strong alignment on the slowest TFs dampens opposite LTF noise.
Entry‑Qualifier mini dash:
“Trend” (ADX), “Throttle” (RSI), “Quality” (Chop), “Boost” (relative volume). Green/steady reads support continuation; yellow/red flags warn of choppiness/whipsaw.
Module Notes
Squeeze (BB/KC): Look for squeeze fill changes—breakouts often follow compression.
Fibonacci: “Zigzag Period” sets swing sensitivity; “Instant flip” optionally flips the active leg when price breaks a chosen threshold (wick/close). Target‑zone shading highlights extension ranges; labels can be limited to extensions only.
PM/AH/RTH: “RTH Mode” = Dynamic (today’s running levels during RTH) or Previous Session Only. Optional volume filter for PM/AH to show only significant sessions.
Pivot Points: Uses confirmed pivots; simple circular markers show HH/HL/LH/LL and shifts (BOS/MSS) without clutter.
Liquidity: “margin” adjusts pool thickness sensitivity; enable “Show Broken” to keep invalidated pools visible with different fill.
FVG Finder: Choose Present or Full History and set a bar budget to control performance. “Fill Mode” supports touch/close/percent thresholds.
Fourier ATR: Envelope defines typical travel. Optional labels:
⚠️ when price exits the band
⬇️ when price re‑enters
Built‑in Alerts
Open the Alerts dialog and choose this indicator; you’ll see named alerts you can attach to any symbol/interval:
Bull Combo (🚀/🔥 no ⚠️)
Table: RSI/ADX Bull Majority
Table: RSI/ADX Bear Majority
Bias turns Bullish (≥ +0.30)
Bias turns Bearish (≤ −0.30)
EQ Bull Align
EQ Bear Align
ATR: ⚠️ Price exited envelope
ATR: ⬇️ Price re‑entered envelope
Performance Tips
Start with only the modules you need. Turn others off in “SD: Modules.”
For FVG, use Present mode with a reasonable “Present Mode Bars” budget on lower timeframes.
Set Trend Sniper to “On Close” for steadier updates during fast markets.
Heavy drawings (many labels/lines/fills) can be reduced by lowering visible counts or disabling labels.
Best Practices & Disclaimers
Educational tool, not financial advice. Past performance does not guarantee future results.
Signals are contextual—use with sound risk management and higher‑timeframe bias.
Some elements can update intrabar when “Live” or “allow repaint” is on (ATR emojis); prefer confirmed/close‑based modes if you want steadier behavior.
Works on most symbols and timeframes; intended primarily for intraday to swing trading.
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
[Daily] CRT with OHLC Reference Here’s a breakdown of Daily CRT:
1. What is Daily CRT?
Daily CRT focuses on the price action of daily candles, treating them as ranges that can be broken or manipulated.
The theory suggests that certain candles on the daily chart form ranges that act as key levels for price expansion or reversal.
These ranges are not just simple support and resistance levels but are tied to the concept of liquidity draws, where price is likely to move towards areas where liquidity is concentrated (e.g., highs, lows, or key levels).
2. Key Components of Daily CRT
Ranging Candle: The first candle in the CRT setup establishes the range. This candle’s high and low become the key levels to watch.
Manipulation Candle: The second candle often manipulates the range by either breaking it or testing it. This is where turtle soup (false breakouts) can occur.
Distribution Candle: The third candle is where the price either confirms the breakout or reverses, leading to a potential expansion in the opposite direction.
3. How to Use Daily CRT
Identify the Range: On the daily chart, identify a candle that forms a clear range (high and low). This is your Ranging Candle.
Watch for Manipulation: The next candle (Manipulation Candle) will often test or break the range. If it breaks the range but then reverses back inside, it’s a turtle soup (false breakout), indicating a potential reversal.
Trade the Distribution: The third candle (Distribution Candle) is where you look for confirmation. If the price breaks the range and continues in the same direction, it’s a true breakout. If it reverses, it’s a false breakout, and you can trade the reversal.
4. Daily CRT and Key Levels
Daily CRT works best when combined with higher timeframe key levels (e.g., weekly or monthly highs/lows, order blocks, fair value gaps, etc.).
The daily candle ranges often align with these key levels, providing confluence for potential reversals or expansions.
5. Time Alignment in Daily CRT
Time is a critical factor in CRT. The PDF emphasizes that the highest probability CRT setups occur at specific times of the day or week.
For example, the purge (breakout or reversal) of a daily CRT often happens during key trading sessions (e.g., London open, New York open).
6. Practical Steps for Daily CRT
Determine the Draw on Liquidity: Use higher timeframe analysis (weekly or monthly) to identify where price is likely to move (e.g., towards a key level or liquidity pool).
Identify the Daily Range: On the daily chart, mark the high and low of the ranging candle.
Watch for Manipulation: Observe the next candle to see if it breaks the range or tests it. Look for signs of turtle soup (false breakouts).
Trade the Distribution: Once the third candle confirms the direction (either breakout or reversal), enter the trade with proper risk management.
7. Example of Daily CRT
Ranging Candle: On Monday, a daily candle forms a range between 1.1000 (low) and 1.1100 (high).
Manipulation Candle: On Tuesday, the price breaks below 1.1000 but then reverses back above it, forming a turtle soup (false breakout).
Distribution Candle: On Wednesday, the price confirms the reversal by breaking above 1.1100, signaling a potential bullish expansion.
8. Integration with Other Concepts
Daily CRT should not be used in isolation. It works best when combined with other ICT concepts like:
Market Profiles: Understanding whether the market is in a ranging, expansion, or reversal phase.
Orderflow: Identifying bullish or bearish orderflow to confirm the direction of the CRT.
Key Levels: Using higher timeframe key levels to add confluence to the CRT setup.
Time: Aligning the CRT with key times (e.g., London open, New York open) for higher probability setups.
9. Risk Management in Daily CRT
Always use proper risk management when trading CRT setups. The PDF suggests risking no more than 0.5% of your account per trade.
Use stop-losses and position sizing to protect your capital, especially since CRT setups can involve false breakouts (turtle soups).
10. Summary
Daily CRT is a powerful tool for identifying key levels and potential price expansions or reversals on the daily chart.
It involves analyzing three key candles: the Ranging Candle, the Manipulation Candle, and the Distribution Candle.
The theory is most effective when combined with higher timeframe key levels, market profiles, orderflow, and proper time alignment.
By mastering Daily CRT, you can improve your ability to predict market movements and frame high-probability trades.
Engulfing Candles with Sweep by AydmaxxEngulfing Candles with Sweep Indicator
The "Engulfing Candles with Sweep" indicator identifies bullish and bearish engulfing candles that exhibit liquidity sweeps. It marks these significant candlestick patterns and draws a 50% Fibonacci retracement line from the high to low of the engulfing candle. The indicator helps traders spot potential reversal points where large market players might be accumulating or distributing positions.
Key Features:
Bullish Engulfing Candle with Sweep:
Identifies when a bullish candle (closing higher than it opened) engulfs the previous bearish candle (closing lower than it opened).
Ensures that the bullish candle’s low is lower than the previous candle’s low, indicating a sweep of liquidity.
Marks the identified bullish candle with a symbol below the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bullish engulfing candle.
Bearish Engulfing Candle with Sweep:
Identifies when a bearish candle (closing lower than it opened) engulfs the previous bullish candle (closing higher than it opened).
Ensures that the bearish candle’s high is higher than the previous candle’s high, indicating a sweep of liquidity.
Marks the identified bearish candle with a symbol above the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bearish engulfing candle.
Customizable Settings:
Fibonacci Line Color: Allows customization of the Fibonacci retracement line color for both bullish and bearish engulfing candles.
Fibonacci Line Style: Provides options to choose the line style (solid, dotted, dashed).
Fibonacci Line Width: Enables adjustment of the line width for better visibility.
Toggle Fibonacci Lines: Option to enable or disable the display of Fibonacci retracement lines.
How to Use:
Apply the indicator to your chart.
Look for symbols below or above the candlesticks, indicating bullish or bearish engulfing candles with liquidity sweeps.
Utilize the 50% Fibonacci retracement lines to identify potential support or resistance levels.
Benefits:
Helps in identifying key reversal patterns in the market.
Provides visual aids with Fibonacci retracement levels for potential entry and exit points.
Enhances trading decisions by confirming engulfing patterns with liquidity sweeps.






















