Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
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Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
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🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Cerca negli script per "imbalance"
ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation
Daily Signals (D) - For intraday/swing trades (1-3 day holds)
Weekly Signals (W) - For swing trades (3-10 day holds)
Monthly Signals (M) - For position trades (weeks to months)
All three timeframes can trigger simultaneously (pyramiding enabled)
2. Smart Money Concepts ImplementationOrder Blocks (OB)
Automatically detects bullish and bearish order blocks
Bullish OB = Down candle before strong impulse up
Bearish OB = Up candle before strong impulse down
Validates freshness (< 10 bars = higher quality)
Visual boxes displayed on chart
Fair Value Gaps (FVG)
Identifies 3-candle imbalance patterns
Bullish FVG = Gap between high and current low
Bearish FVG = Gap between low and current high
Tracks unfilled gaps as targets/entry zones
Auto-removes when filled
Premium/Discount Zones
Calculates 50-period swing range
Premium = Upper 50% (short from here)
Discount = Lower 50% (long from here)
Deep zones (<30% or >70%) for higher quality setups
Visual shading: Red = Premium, Green = Discount
Liquidity Sweeps
Sell-Side Sweep (SSL) = False break below lows → reversal up
Buy-Side Sweep (BSL) = False break above highs → reversal down
Marked with yellow labels on chart
Valid for 10 bars after occurrence
Break of Structure (BOS)
Identifies when price breaks recent swing high/low
Confirms trend continuation
Marked with small circles on chart
3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max)
HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned
SMC Structure (2 pts) - OB in correct zone with HTF bias
Liquidity Sweep (1 pt) - Recent SSL/BSL occurred
Volume Confirmation (1 pt) - Volume > 1.2x 20-period average
Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch)
Risk-Reward >2:1 (1 pt) - Built into exit strategy
Clean Price Action (1 pt) - BOS occurred
FVG Present (1 pt) - Near unfilled fair value gap
Minimum Required: 6/10 (adjustable)Weekly Score (10 points max)
Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned
Daily/Weekly Alignment (2 pts) - D and W trends match
Premium/Discount Correct (2 pts) - Deep zone + trend alignment
Major Liquidity Event (1 pt) - SSL/BSL sweep
Order Block Present (1 pt) - Valid OB detected
Risk-Reward >3:1 (1 pt) - Built into exit
Fresh Order Block (1 pt) - OB < 10 bars old
Minimum Required: 7/10 (adjustable)Monthly Score (10 points max)
Monthly/Weekly Alignment (2 pts) - M and W trends match
Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium
Major Liquidity Sweep (2 pts) - Significant SSL/BSL
Strong Trend Alignment (2 pts) - D, W, M all aligned
Risk-Reward >4:1 (1 pt) - Built into exit
Extreme Zone (1 pt) - Price <20% or >80% of range
Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry
✅ Daily score ≥ 6/10
✅ 4H trend bullish (price > EMAs)
✅ Price in discount zone
✅ Bullish OB OR SSL sweep OR near bullish FVG
✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry
✅ Daily score ≥ 6/10
✅ 4H trend bearish
✅ Price in premium zone
✅ Bearish OB OR BSL sweep OR near bearish FVG
✅ NOT during avoid timesWeekly Long Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bullish
✅ Daily trend bullish
✅ Price in discount
✅ Bullish OB OR SSL sweepWeekly Short Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bearish
✅ Daily trend bearish
✅ Price in premium
✅ Bearish OB OR BSL sweepMonthly Long Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bullish
✅ Weekly trend bullish
✅ Price in DEEP discount (<30%)
✅ Bullish order block presentMonthly Short Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bearish
✅ Weekly trend bearish
✅ Price in DEEP premium (>70%)
✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry)
Daily: 1.0% account risk per trade
Weekly: 0.75% account risk per trade
Monthly: 0.5% account risk per trade
Formula:
Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50)
Minimum = 1 contractStop Losses
Daily: 12 points ($600 per contract)
Weekly: 40 points ($2,000 per contract)
Monthly: 100 points ($5,000 per contract)
Profit Targets (Risk:Reward)
Daily: 2:1 = 24 points ($1,200 profit)
Weekly: 3:1 = 120 points ($6,000 profit)
Monthly: 4:1 = 400 points ($20,000 profit)
Example with $50,000 AccountDaily Trade:
Risk = $500 (1% of $50k)
Stop = 12 points × $50 = $600
Contracts = $500 ÷ $600 = 0.83 → 1 contract
Target = 24 points = $1,200 profit
Weekly Trade:
Risk = $375 (0.75% of $50k)
Stop = 40 points × $50 = $2,000
Contracts = $375 ÷ $2,000 = 0.18 → 1 contract
Target = 120 points = $6,000 profit
Monthly Trade:
Risk = $250 (0.5% of $50k)
Stop = 100 points × $50 = $5,000
Contracts = $250 ÷ $5,000 = 0.05 → 1 contract
Target = 400 points = $20,000 profit
6. Visual Elements on ChartKey Levels
Previous Daily High/Low - Red/Green solid lines
Previous Weekly High/Low - Red/Green circles
Previous Monthly High/Low - Red/Green crosses
Equilibrium Line - White dotted line (50% of range)
Zones
Premium Zone - Light red shading (upper 50%)
Discount Zone - Light green shading (lower 50%)
SMC Markings
Bullish Order Blocks - Green boxes with "Bull OB" label
Bearish Order Blocks - Red boxes with "Bear OB" label
Bullish FVGs - Green boxes with "FVG↑"
Bearish FVGs - Red boxes with "FVG↓"
Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels
Break of Structure - Small lime/red circles
Entry Signals
Daily Long - Small lime triangle ▲ with "D" below price
Daily Short - Small red triangle ▼ with "D" above price
Weekly Long - Medium green triangle ▲ with "W" below price
Weekly Short - Medium maroon triangle ▼ with "W" above price
Monthly Long - Large aqua triangle ▲ with "M" below price
Monthly Short - Large fuchsia triangle ▼ with "M" above price
7. Information TablesConfluence Score Table (Top Right)
┌──────────┬────────┬────────┬────────┐
│ TF │ SCORE │ STATUS │ SIGNAL │
├──────────┼────────┼────────┼────────┤
│ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │
│ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │
│ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │
├──────────┴────────┴────────┴────────┤
│ P&L: $2,450 │
└─────────────────────────────────────┘
Green scores = Pass (meets minimum threshold)
Orange/Red scores = Fail (wait for better setup)
🔼 = Long signal active
🔽 = Short signal active
━ = No signal
Entry Checklist Table (Bottom Right)
┌──────────────┬───┐
│ CHECKLIST │ ✓ │
├──────────────┼───┤
│ ━ DAILY ━ │ │
│ HTF Trend │ ✓ │
│ Zone │ ✓ │
│ OB │ ✗ │
│ Liq Sweep │ ✓ │
│ Volume │ ✓ │
│ ━ WEEKLY ━ │ │
│ W/M Align │ ✓ │
│ Deep Zone │ ✗ │
│ ━ MONTHLY ━ │ │
│ M/W/D Align │ ✓ │
│ Zone: Discount│ │
└──────────────┴───┘
Green ✓ = Condition met
Red ✗ = Condition not met
Real-time updates as market conditions change
8. Alert SystemIndividual Alerts:
"Daily Long" - Triggers when daily long setup appears
"Daily Short" - Triggers when daily short setup appears
"Weekly Long" - Triggers when weekly long setup appears
"Weekly Short" - Triggers when weekly short setup appears
"Monthly Long" - Triggers when monthly long setup appears
"Monthly Short" - Triggers when monthly short setup appears
Combined Alerts:
"Any Long Signal" - Catches any bullish opportunity (D/W/M)
"Any Short Signal" - Catches any bearish opportunity (D/W/M)
Alert Messages Include:
🔼/🔽 Direction indicator
Timeframe (DAILY/WEEKLY/MONTHLY)
Current confluence score
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator
An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading.
📊 FEATURES
VWAP Distance Normalization
Context-aware fair value measurement:
Automatically resets based on selected anchor (Session/Week/Month)
ATR-normalized distance calculation for universal application
Identifies when price is extended or compressed relative to equilibrium
Configurable extreme distance threshold (default: 1.5 ATR)
Adjustable source input (default: HLC3)
Volume Delta Proxy
Bull vs Bear participation tracking:
Calculates volume imbalance between bullish and bearish candles
EMA smoothing for cleaner signal generation (default: 9 periods)
Delta ratio measurement to identify dominant side
Expansion/compression detection to gauge momentum commitment
Configurable expansion threshold (default: 1.3x)
Acceptance/Rejection State Machine
Real-time market regime identification with six distinct states:
🟢 Accepted Long
Price moving away from VWAP with expanding bullish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real buying pressure—trade WITH the move
🟢 Accepted Short
Price moving away from VWAP with expanding bearish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real selling pressure—trade WITH the move
🟠 Fade Long
Price extended beyond threshold (>1.5 ATR above VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion short setup
🟠 Fade Short
Price extended beyond threshold (>1.5 ATR below VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion long setup
⚪ Chop
Price compressed near VWAP
Bollinger Bands tight (width compressed)
Delta neutral—no clear commitment
NO TRADE ZONE—wait for expansion
⚪ Neutral
Transitional state between regimes
Momentum shifting but not yet confirmed
Monitor for next acceptance signal
Bollinger Bands
Standard volatility measurement with TradingView default styling:
Adjustable period length (default: 20)
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands for volatility context
Used internally for chop/compression detection
Live Dashboard
Real-time metrics display (top-right corner):
Current market state with color coding
VWAP distance in ATR units
Delta ratio (bull/bear volume balance)
Delta state (Expanding/Compressing)
High-contrast design for instant readability
🎯 HOW TO USE
For Trend Trading:
Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend
Strong moves typically travel 1-1.5 ATR from VWAP with delta support
Use VWAP as dynamic support/resistance
Combine with momentum indicators (MACD, RSI) for confluence
Price above VWAP + Accepted Long state = bullish bias
Price below VWAP + Accepted Short state = bearish bias
For Mean Reversion:
Fade Long/Short states signal overextension without participation
Price beyond 1.5 ATR from VWAP with weak delta = potential reversal
Look for price return to VWAP when extended
Bollinger Band extremes + Fade state = high-probability mean reversion setup
VWAP acts as mean reversion anchor during range-bound sessions
For Risk Management:
Chop state = avoid new entries
Bollinger Band compression + Chop = pre-expansion zone (wait for breakout)
Delta compression after strong move = early exhaustion warning
State transitions (Accepted → Neutral → Fade) = tighten stops
Signal Confirmation:
Strongest setups occur when multiple factors align:
BB breakout + Accepted state + price above/below VWAP
Price rejection at BB bands + Fade state
VWAP support/resistance hold + state transition
Delta expansion + distance increasing + trend direction
⚙️ SETTINGS
All components are fully customizable through organized input groups:
VWAP Distance Group:
VWAP source (default: HLC3)
Anchor period (Session/Week/Month)
ATR length for normalization (default: 14)
Extreme distance threshold in ATR multiples (default: 1.5)
Volume Delta Group:
Delta EMA length (default: 9)
Delta expansion threshold (default: 1.3)
Acceptance Logic Group:
Acceptance lookback period (default: 5)
Chop threshold in VWAP/ATR units (default: 0.3)
Bollinger Bands Group:
BB length (default: 20)
Standard deviation multiplier (default: 2.0)
Display Group:
Toggle state backgrounds
Toggle state change labels
Toggle VWAP line
Toggle Bollinger Bands
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How institutional money identifies fair value (VWAP)
The difference between price movement and market acceptance
Why volume participation matters more than price action alone
How to distinguish between noise and committed directional moves
The relationship between volatility compression and expansion cycles
Why distance from equilibrium predicts mean reversion probability
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
This is a filter, not a standalone trading system
No indicator is perfect—always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice—use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
No repainting—all signals are confirmed on bar close
Compatible with all timeframes and instruments
Optimized for smaller timeframes (1-5 minute charts)
Minimal computational overhead
📝 CHANGELOG
Version 1.0
Initial release
VWAP distance normalization with ATR scaling
Volume delta proxy system (bull/bear EMA)
6-state acceptance/rejection state machine
Bollinger Bands integration
Real-time dashboard with live metrics
State change labels and background coloring
Full customization options
Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
Opposite Candle Zone Identifier (v6) - Extended🔍 Opposite Candle Zone Identifier (Extended)
Opposite Candle Zone Identifier is a price-action based indicator designed to identify potential reversal or absorption zones by detecting candles that move against the surrounding trend.
The indicator highlights a central opposite candle (or group of candles) that is surrounded by candles moving in the opposite direction, both before and after the central candle.
This structure often represents areas where institutional activity, absorption, or supply/demand imbalance may occur.
📌 How the Indicator Works
The indicator analyzes price action using three configurable blocks:
1️⃣ Candles Before (Backward)
A user-defined number of candles before the central candle(s) must follow a consistent trend:
Bullish candles for a bearish zone
Bearish candles for a bullish zone
2️⃣ Central Candle(s)
The core of the pattern:
Default: 1 opposite candle
Can be increased (up to 5) to adapt the indicator to lower timeframes or noisier markets
This central block must move against the previous trend, signaling a potential shift or absorption area.
3️⃣ Candles After (Forward)
A user-defined number of candles after the central candle(s) must resume the original trend, confirming the pattern.
⚠️ The signal is confirmed only after the “after” candles are completed.
This avoids repainting and ensures structural confirmation.
📐 Zone Concept
The highlighted central candle (or candles) can be used to define a price zone:
The high and low of the central candle(s) represent a potential supply or demand zone
These zones can be used for:
Reversal areas
Reaction zones
Entry refinement
Stop placement
⚙️ Inputs & Customization
Number of candles before
Controls how many candles must follow the initial trend.
Number of candles after
Defines how many candles are required for confirmation.
Central candles count
Default is 1, but can be increased (e.g. 2) for:
Lower timeframes
More reliable structure
Reduced noise
ATR-based offset
Labels are positioned using a dynamic ATR offset to improve chart readability across different markets and timeframes.
📈 Bullish & Bearish Zones
🟢 Bullish Zone
Bearish candles before
Bullish central candle(s)
Bearish candles after
Indicates potential demand or accumulation zone
🔴 Bearish Zone
Bullish candles before
Bearish central candle(s)
Bullish candles after
Indicates potential supply or distribution zone
🧠 Best Use Cases
Works best on 15m and higher timeframes
Effective on:
Indices
Forex majors
Liquid cryptocurrencies
Can be combined with:
Trend filters (EMA, VWAP)
Support & resistance
Market structure analysis
⚠️ Notes
This indicator is confirmation-based, not predictive
Signals appear only after pattern completion
It does not repaint
Best used as a confluence tool, not as a standalone trading system
🎯 Summary
Opposite Candle Zone Identifier helps traders:
Detect opposite-direction candles within strong trends
Identify potential supply and demand zones
Adapt the pattern to different timeframes
Improve price-action based decision making
Delta Grid Delta Grid H/L/C (Approx)
Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart.
Instead of guessing what happened inside a candle, this indicator shows you:
Delta High – the maximum aggressive buying reached within the bar
Delta Low – the maximum aggressive selling reached within the bar
Delta Final – where delta closed when the candle finished
All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior.
How It Works
This indicator approximates intrabar delta by:
Aggregating lower-timeframe volume
Classifying volume direction based on price movement
Tracking the running delta inside each candle
Recording the highest, lowest, and final delta values per bar
A heat-mapped background is applied to the Final Delta column:
Green shades = net aggressive buying
Red shades = net aggressive selling
Brighter colors = stronger imbalance relative to recent bars
Key Features
Stand-alone Delta Grid panel below the chart
Per-bar Delta High / Delta Low / Delta Final
Heat-mapped Final Delta for fast visual interpretation
Optional time column for precise bar reference
Adjustable lookback and scaling settings
Clean layout designed for futures, crypto, and index trading
How Traders Use It
This tool is ideal for:
Spotting absorption at highs and lows
Identifying failed breakouts and traps
Confirming trend strength or exhaustion
Reading order-flow shifts without footprint charts
Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure
Important Notes
This is an approximate delta calculation due to TradingView data limitations.
It does not use true bid/ask volume.
For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required.
Recommended Settings
Use a lower timeframe (1s–15s if available) for better intrabar accuracy
Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors
• Imbalance function fixed:
• Removed invalid usage.
• Now uses for past bar references.
• Bias checks are handled outside the function with proper series indexing.
• Bias alignment:
• Added and so CHoCH signals only fire when price change agrees with EMA bias.
• Swing reset:
• After a valid CHoCH, and reset to so stale levels don’t keep firing.
• Line/label management:
• CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger.
✨ New Features
• Anticipation mode:
• Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation.
• Helps you see potential setups earlier.
• Entry zone lines:
• Solid green/red lines drawn at entry levels when is enabled.
• Separate from FRVP dashed zones.
• Stop‑loss lines:
• Orange dotted lines drawn opposite the entry zone when is enabled.
• Gives a visual risk marker.
🎨 Visual Consistency
• Candle coloring simplified: white candles only when CHoCH triggers.
• FRVP zones remain dashed lines with “Enter” labels.
• Anticipation zones are blue solid lines.
• Entry zones are solid green/red.
• Stop‑loss lines are orange dotted.
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis.
This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality:
🎯 Core Features
1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles:
MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends
MA5 (21 EMA): Short-term anchor - critical pivot point
MA6 (34 EMA): Intermediate support/resistance
MA7 (50 EMA): Medium-term bridge between short and long trends
MA8-MA9 (89, 100): Transition zone indicators
MA10-MA11 (150, 200): Long-term anchors for major trend identification
Each MA is fully customizable:
Type: SMA, EMA, WMA, TMA, RMA
Color, width, and enable/disable toggle
📊 Signal Generation System
Three Signal Tiers: Short-Term Signals (ST)
Trigger: MA8 (EMA 8) crossing MA21 (EMA 21)
Filters Applied:
✅ ATR-based post-cross confirmation (optional)
✅ Momentum confirmation (RSI > 50, MACD positive)
✅ Volume spike requirement
✅ HTF (Higher Timeframe) alignment
✅ Strong candle body ratio (>50%)
✅ Multi-MA confirmation (3+ MAs supporting direction)
✅ Price beyond MA21 with conviction
✅ Minimum bar spacing (prevents signal clustering)
✅ Consolidation filter
✅ Whipsaw protection (ATR-based price threshold)
Medium-Term Signals (MT)
Trigger: MA21 crossing MA50
Less strict filtering for swing trades
Major Signals
Golden Cross: MA50 crossing above MA200 (major bullish)
Death Cross: MA50 crossing below MA200 (major bearish)
🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover
This prevents false signals during low-volatility consolidation.2. Momentum Filters
RSI (14)
MACD Histogram
Rate of Change (ROC)
Composite momentum score (-3 to +3)
3. Volume Analysis
Volume spike detection (2x MA)
Volume classification: LOW, MED, HIGH, EXPL
Directional volume confirmation
4. Higher Timeframe Alignment
HTF1: 60-minute (default)
HTF2: 4-hour (optional)
HTF3: Daily (optional)
Signals only trigger when current TF aligns with HTF trend
5. Market Structure Detection
Break of Structure (BOS): Price breaking recent swing highs/lows
Order Blocks (OB): Institutional demand/supply zones
Fair Value Gaps (FVG): Imbalance areas for potential fills
📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional):
Price Distance from Key MAs
vs MA21, MA50, MA200 (percentage)
Color-coded: green (above), red (below)
MA Alignment Score
Calculates % of MAs in proper order
🟢 for bullish alignment, 🔴 for bearish
Trend Strength
Based on separation between MA21 and MA200
NONE/WEAK/MODERATE/STRONG/EXTREME
Consolidation Detection
Identifies low-volatility ranges
Prevents signals during sideways markets
⚙️ Customization OptionsFilter Toggles:
☑️ Require Momentum
☑️ Require Volume
☑️ Require HTF Alignment
☑️ Use ATR post-cross confirmation
☑️ Whipsaw filter
Min bars between signals (default: 5)
Dashboard Styling:
9 position options
6 text sizes
Custom colors for header, rows, and text
Toggle individual metrics on/off
🎨 Visual Elements
Signal Labels:
ST▲/ST▼ (green/red) - Short-term
MT▲/MT▼ (blue/orange) - Medium-term
GOLDEN CROSS / DEATH CROSS - Major signals
Volume Spikes:
Small labels showing volume class + direction
Example: "HIGH🟢" or "EXPL🔴"
Market Structure:
Dashed lines for Break of Structure levels
Automatic detection of swing highs/lows
🔔 Alert Conditions
Pre-configured alerts for:
Short-term bullish/bearish crosses
Medium-term bullish/bearish crosses
Golden Cross / Death Cross
Volume spikes
💡 Key Strengths
Institutional-Grade Filtering: Multiple confirmation layers reduce false signals
Multi-Timeframe Analysis: Ensures alignment across timeframes
Adaptive to Market Conditions: ATR-based thresholds adjust to volatility
Comprehensive Dashboard: All critical metrics in one view
Highly Customizable: 100+ input parameters
Signal Quality Over Quantity: Strict filters prioritize high-probability setups
⚠️ Usage Recommendations
Best for: Swing trading and position trading
Timeframes: Works on all TFs, optimized for 15m-Daily
Markets: Stocks, Forex, Crypto, Indices
Signal Frequency: Conservative (quality over quantity)
Combine with: Support/resistance, price action, risk management
🔧 Technical Implementation Notes
Uses Pine Script v6 syntax
Efficient calculation with minimal repainting
Maximum 500 labels for performance
Security function for HTF data (no lookahead bias)
Array-based MA alignment calculation
State variables to track signal spacing
This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment).
The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
TedAlpha – Structure / FVG / OB Sessions:
Only looks for trades when price is inside your defined London or NY time blocks.
CHOCH:
Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish.
FVG:
Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it.
Order Blocks:
On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone.
Signal:
A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles).
Short is the mirror image.
RR 1:3:
SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
LiquidityPulse Higher Timeframe Consecutive Candle Run LevelsLiquidityPulse Higher Timeframe Consecutive Candle Run Levels
Research suggests that financial markets can alternate between trend-persistence and mean-reversion regimes, particularly at short (intraday) or very long timeframes. Extended directional moves, whether prolonged intraday rallies or sell-offs, also carry a statistically higher chance of retracing or reversing (Safari & Schmidhuber, 2025). In addition, studies examining support and resistance behaviour show that swing highs or lows formed after strong directional moves may act as structurally and psychologically important price levels, where subsequent price interactions have an increased likelihood of stalling or bouncing rather than passing through directly (Chung & Bellotti, 2021). By highlighting higher-timeframe candle runs and marking their extremal levels, this indicator aims to display areas where directional momentum previously stopped, providing contextual "watch levels" that traders may incorporate into their broader analysis.
How this information is used in the indicator:
When a sequence of consecutive higher-timeframe candles prints in the same direction, the indicator highlights the lower-timeframe chart with a green or red background, depending on whether the higher-timeframe run was bullish or bearish. The highest high (for a bull run) or lowest low (for a bear run) of that sequence forms a recent extremum, and this value is plotted as a swing-high or swing-low level. These levels appear only after the required number of consecutive higher-timeframe candles (set by the user) have closed, and they continue updating as long as the higher-timeframe streak remains intact. A level "freezes" and stops updating only when an opposite-colour higher-timeframe candle closes (e.g., a red candle ending a bull run, or a green candle ending a bear run). Once frozen, the level remains fixed to preserve that structural information for future analysis or retests. The number of past bull/bear levels displayed on the chart is also adjustable in the settings.
Why capture a level after a long directional run:
When price moves in one direction for several consecutive candles (e.g. 4, 5, or more), it reflects strong directional bias, often associated with momentum, liquidity imbalance, or liquidity grabs. Once that sequence breaks, the final level reached marks a point of exhaustion or structural resistance/support, where that bias failed to continue. These inflection points are often used by traders and trading algorithms to assess potential reversals, retests, or breakout setups. By freezing these levels once the run ends, the indicator creates a map of historically significant price zones, allowing traders to observe how price behaves around them over time.
Additional information displayed by the indicator:
Each detected run includes a label showing the run length (the number of consecutive higher-timeframe candles in the streak) along with the source timeframe used for detection. The indicator also displays an overstretch marker: this numerical value appears when the total size of the candle bodies within the run exceeds a user-defined multiple of the average higher-timeframe body size (default: 1.5x). This helps highlight runs that were unusually strong or extended relative to typical volatility. You can also enable alerts that trigger when this overstretch ratio exceeds a higher threshold.
Key Settings
Timeframe: Choose which HTF to analyse (e.g., 15m, 1h, 4h)
Minimum Candle Run Length: Define how many consecutive candles are needed to trigger a level (e.g., 4)
Overstretch Settings: Customize detection threshold and alert trigger (in multiples of average body size)
Background Tints: Enable/disable visual highlights for bull and bear runs
Display Capacity: Choose how many past bull/bear levels to show
How Traders Can Use This Indicator
Traders can:
-Watch levels for retests, reversals, breakouts, or consolidation
-Identify areas where price showed strong directional conviction
-Spot extended or aggressive moves based on overstretch detection
-Monitor how price reacts when retesting prior run levels
-Build confluence with your existing levels, zones, or indicators
Disclaimer
This tool does not reflect true order flow, liquidity, or institutional positioning. It is a visual aid that highlights specific candle behaviour patterns and does not produce predictive signals. All analysis is subject to interpretation, and past price behaviour does not imply future outcomes.
References:
Trends and Reversion in Financial Markets on Time Scales from Minutes to Decades (Sara A. Safari & Christof Schmidhuber, 2025)
Evidence and Behaviour of Support and Resistance Levels in Financial Time Series (Chung & Bellotti, 2021)
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology
The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure.
Key Components:
Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading.
Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action.
Smart Confluence Zones (Originality):
The script calculates a background "State" based on multiple factors.
Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA.
Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA.
This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned.
█ How to Use
Entry: Wait for a "Triangle" signal (Buy/Sell).
Validation: Check the Background Color. Is it highlighting a Confluence Zone?
Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup.
Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution.
Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
T-DOW-FLOW: Final Edition
T-DOW-FLOW: Market Structure & Smart Pivot Zones
This indicator is a comprehensive technical analysis tool designed to visualize "Market Structure" based on Dow Theory and precise Supply/Demand Zones. It helps traders identify the true market trend and high-probability reaction levels by analyzing raw price action (ZigZag Pivots) rather than lagging indicators.
The script integrates three core systems:
ZigZag Trend Cloud: Visualizes the market bias (Uptrend/Downtrend).
Smart Pivot Zones (Type 1): Highlights the specific "Wick-to-Body" area of recent pivots.
Auto Density Channels (Type 2): Detects historical support/resistance clusters.
1. ZigZag Trend Identification
Logic: The script utilizes ta.highestbars and ta.lowestbars to detect Swing Highs and Swing Lows.
Trend Cloud:
If the structure creates a Higher High, the background cloud turns Green (Uptrend).
If the structure creates a Lower Low, the background cloud turns Red (Downtrend).
This provides an instant visual filter for "Trend Flow," encouraging traders to trade only in the direction of the dominant market structure.
2. SR Type 1: Smart Pivot Zones (Wick-to-Body)
Unlike standard indicators that draw thin lines at the absolute High/Low, this script focuses on the "Imbalance Zone".
It calculates the price range between the Pivot's Wick and the Pivot's Body (Open/Close) and fills this area with a colored zone.
Why? The area between the wick and body often represents the precise zone where institutional orders were filled, acting as a more reliable support/resistance level than a single price point.
3. SR Type 2: Auto Density Channels
This module scans a significant amount of historical data (default: 300 bars) to find clusters of pivot points.
Areas where multiple pivots align within a specific width are drawn as Channels. These represent strong, long-term psychological levels.
Trend Filter: Check the Trend Cloud color.
Green: Look for Long opportunities.
Red: Look for Short opportunities.
Entry Trigger: Wait for the price to retrace into a Smart Pivot Zone (Type 1) or an Auto Channel (Type 2).
Look for price rejection (wicks) at these zones in the direction of the Trend Cloud.
Structure Confirmation: Use the ZigZag lines and labels (HH, HL, etc.) to confirm that the market structure is still intact before entering.
ZigZag Settings: Adjust the sensitivity of the trend detection.
SR Type 1: Toggle the "Wick-to-Body" fill and choose between Wicks or Bodies as the primary source.
SR Type 2: Adjust the historical loopback period and channel width sensitivity.
This script is for educational and technical analysis purposes only. Past performance does not guarantee future results.
(以下、日本語説明 / Japanese Description)
このインジケーターは、「ダウ理論」に基づくトレンド判定と、精密な「需給ゾーン（Supply/Demand）」を可視化するための市場構造分析ツールです。 遅行指標を使わず、純粋なプライスアクション（ZigZagピボット）に基づいて、機関投資家の意識する価格帯を特定します。
1. ZigZagトレンドクラウド
ロジック: 一定期間の高値・安値を検出し、ダウ理論に基づいてトレンドを判定します。
視覚化: 高値切り上げ（上昇トレンド）なら「緑」、安値切り下げ（下落トレンド）なら「赤」の背景色を表示します。これにより、トレードすべき方向（順張り）を一目で判断できます。
2. SR Type 1: スマートピボットゾーン (Wick-to-Body)
単なる水平線ではなく、ローソク足の**「ヒゲ先」から「実体」までの価格差**をゾーンとして塗りつぶして表示します。
理由: ヒゲと実体の間の領域は、大口の注文が執行された（需給の不均衡が発生した）重要なエリアであることが多く、ピンポイントのラインよりも信頼性の高い反発ゾーンとして機能します。
3. SR Type 2: オート・デンシティ・チャネル
過去の長期間（デフォルト300本）のデータをスキャンし、ピボットが密集している価格帯を自動で「チャネル」として描画します。長期的に意識される強力なレジサポ帯です。
環境認識: 背景のトレンドクラウドの色に従い、目線を固定します。
エントリー: 価格がSRゾーン（Type 1）やチャネル（Type 2）に引きつけて、反発する動きを確認してエントリーします。
構造確認: ZigZagラインとラベル（HH/HLなど）を見て、トレンドが崩れていないことを確認します。
FVG Supply and DemandThis indicator combines powerful tools into one:
• Supply & Demand Zones built from swing highs/lows with ATR-based zone width, POI markers, and Break-of-Structure (BOS) detection.
• Volumized Fair Value Gaps (FVGs) showing bullish/bearish gaps, total volume inside the gap, volume distribution, optional zone-combining, and auto-cleanup.
• Swing TSL Line and manage bar color.
It helps visualize key imbalance areas, institutional zones, and price reaction points.
Credits to the Author.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice.
Past results do not guarantee future outcomes.
Use responsibly and in conjunction with your market analysis.
BuLLzEyE_MNQ FVG/IFVG SystemFVG Boxes
These are the main trading zones. The indicator automatically detects Fair Value Gaps and draws boxes on your chart:
• GREEN boxes = Bullish FVG (potential buy zone)
• RED boxes = Bearish FVG (potential sell zone)
• YELLOW boxes = IFVG (Inverse FVG - filled gaps that now act as support/resistance)
• GRAY boxes = Mitigated FVG (gap has been filled)
• WHITE dashed line = 50% level (optimal entry point within the FVG)
Session Boxes
Session boxes show you the high/low range of each major trading session. This helps identify where liquidity sits:
• PURPLE = Asia Session (6:00 PM - 3:00 AM ET)
• BLUE = London Session (3:00 AM - 12:00 PM ET)
• ORANGE = New York Session (9:30 AM - 4:00 PM ET)
• TEAL = Sydney Session (5:00 PM - 2:00 AM ET)
• LIME GREEN = Kill Zone / London-NY Overlap (8:00 AM - 11:00 AM ET) - BEST TRADING TIME
Entry Signals
• GREEN triangle pointing UP = Long entry signal at a Bullish FVG (not 100% reliable)
• RED triangle pointing DOWN = Short entry signal at a Bearish FVG (not 100% reliable)
Liquidity Sweeps
• RED X with 'SWEEP' = Previous Day High (PDH) was swept
• GREEN X with 'SWEEP' = Previous Day Low (PDL) was swept
• Dotted lines = PDH (red) and PDL (green) levels
Information Tables
HTF Bias Table (Top Right): Shows whether the higher timeframe (default 15m) is bullish or bearish, the number of active FVGs, and whether you're in the trading session.
Risk Calculator Table (Bottom Right): Shows your risk amount and calculates how many contracts you can trade for different stop loss sizes (5pt, 10pt, 15pt).
How It Works
What is a Fair Value Gap?
A Fair Value Gap (FVG) is a 3-candle pattern where aggressive buying or selling creates a price void. Specifically, it's when the wick of the first candle doesn't overlap with the wick of the third candle, leaving a gap in between. Price tends to return to these gaps to 'rebalance' before continuing in the original direction.
What is an Inverse FVG?
When an FVG gets filled (price returns and closes through the gap), it becomes an Inverse FVG (IFVG). These zones flip their polarity - a filled Bullish FVG becomes resistance, and a filled Bearish FVG becomes support. The indicator automatically converts mitigated FVGs to yellow IFVG boxes.
The 50% Entry Level
The dashed white line in each FVG represents the 50% level (also called Consequent Encroachment). This is considered the optimal entry point - it's the middle of the imbalance where price is most likely to react.
Suggested Trading Strategy
1. Check HTF Bias (top right table) - only trade in that direction
2. Wait for a liquidity sweep (SWEEP label appears)
3. Look for an FVG to form AFTER the sweep
4. Enter when price returns to the 50% level (dashed line)
5. Place stop loss below/above the FVG (add 2 ticks buffer)
6. Take profit at 1:2 or 1:3 risk-to-reward ratio
Settings Explained
FVG Settings
• Min FVG Size: Minimum gap size in points to be considered valid (default: 2.0)
• Max FVG Age: How many bars until an FVG is removed from chart (default: 50)
• Show 50% Entry Level: Toggle the dashed entry line on/off
Session Settings
• Show Session Boxes: Toggle all session boxes on/off
• Max Sessions to Show: How many historical sessions to display (default: 5)
• Individual Session Toggles: Turn each session (Asia/London/NY/Sydney/Kill Zone) on or off
Risk Calculator Settings
• Account Size: Your trading account balance
• Risk Per Trade: Percentage of account to risk per trade (default: 0.5%)
• Tick Value/Size: Contract specifications for MNQ ($0.50 per tick, 0.25 point tick size)
Tips for Best Results
1. Trade during the Kill Zone (8:00-11:00 AM ET) for best volatility and liquidity
2. Always align trades with HTF bias - don't fight the trend
3. Wait for liquidity sweeps before entering - this confirms smart money activity
4. Use the 50% level for entries - it offers the best risk-to-reward
5. Watch for IFVG zones as additional confluence for entries
6. Use the risk calculator to size positions properly - never risk more than you can afford
7. Session boxes help identify where stops are clustered - sweeps of these levels often precede reversals
Available Alerts
• New FVG Formed (Bullish or Bearish)
• Price Touching 50% Entry Level
• FVG Mitigated (gap filled)
• Long Entry Signal
• Short Entry Signal
• PDH/PDL Liquidity Sweep
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Created by BullyTrading
Designed for MNQ Prop Firm Trading
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works
Long entries trigger when:
- RSI reaches oversold levels, and
- At least one bullish candle closes inside the lower Bollinger Band
Short entries trigger when:
- RSI reaches overbought levels, and
- At least one bearish candle closes inside the upper Bollinger Band
This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band.
Important Disclaimer
This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether.
For best results, combine this script with:
- Price action
- Market structure
- Higher-timeframe trend context
- Previous day/week/month highs & lows
- Untested liquidity levels or imbalance zones
- Session timing (Asia, London, NY)
Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
LiqVision Institutional Suite v6.2 – Hybrid ModeLiqVision Institutional Suite v6.2 — Hybrid Mode (Lightning Edition)
Een ultra-geoptimaliseerde Smart Money-indicator gebaseerd op institutionele principes: Liquidity, Market Structure, Order Blocks, FVG’s en Model 1/2 setups.
Dit script combineert meerdere professionele SMC-concepten in één engine:
🔷 Functionaliteiten
1. Liquidity Engine
Automatische detectie van EQH, EQL en Liquidity Sweeps
Dynamische lijnprojectie met smart cleanup
Slimme sweep-detectie voor high-probability entries
2. Market Structure Engine
BOS & CHOCH detectie
Trend continuatie- en reversalsignalen
Swing-based pivot logic
3. Order Block Engine
Automatische OB-detectie met displacement filtering
Bullish & Bearish macro Order Blocks
HTF glow overlay (nieuw in v6.2)
4. FVG Engine
Major Fair Value Gap detection
Up/Down imbalance visual engine
HTF-based color restoration (v6.2 fix)
5. Model 1 & Model 2 Signal Engine
Trend continuation entries (Model 1)
Reversal setups gebaseerd op HTF liquidity & displacement (Model 2)
Auto-tapping logic geïntegreerd met OB/FVG
6. Hybrid Mode Rendering
Slimme shading afhankelijk van timeframe:
LTF → Hide OB/FVG
MTF → White overlays
HTF → Premium glow visuals
🔷 Alerts
Volledige alert-ondersteuning voor:
Model 1 Buy/Sell
Model 2 Buy/Sell
Liquidity Sweep
BOS Up/Down
CHOCH Up/Down
OB Tap
FVG Tap
Any alert() function call
Geschikt voor Telegram, Discord, bots en externe signal pipelines.
🔷 Gebruik
Voeg de indicator toe
Kies timeframe (1m–4h aanbevolen)
Activeer alerts via “Any alert() function call”
Volg Model 1/2 entries voor optimaal resultaat
⚡ DISCLAIMER
Dit script is uitsluitend bedoeld voor educatieve doeleinden. Geen financieel advies. Resultaten uit het verleden geven geen garantie voor de toekomst.
TTP IFVG Signals With EMA /ICT Gold scalpingThis script uses original logic and alerting rules. in Japan
finding ICT IFVG and EMA conditions.
#IFVG, Forex, ICT, EMA, Scalping, Indicator
This indicator automatically finds IFVG (Imbalance / Fair Value Gap) zones and gives you a buy or sell signal when price comes back and breaks out through that gap.
It also draws a colored box over the gap so you can see the zone visually, and it raises alerts when a new signal appears.
High-level logic:
On every bar, the script looks back up to “IFVG_GapBars” bars.
For each offset i it checks a 3-candle pattern:
– If the low of the newer candle is above the high of the older candle: bullish FVG (price jumped up, leaving a gap).
– If the high of the newer candle is below the low of the older candle: bearish FVG (price jumped down, leaving a gap).
When a valid FVG is found:
– For a bullish FVG it looks for a later close that breaks down through that gap (sell signal).
– For a bearish FVG it looks for a later close that breaks up through that gap (buy signal).
– A moving-average trend filter must agree (downtrend for sells, uptrend for buys).
– It checks that price has not already “filled” the gap before the breakout.
If all conditions are satisfied, it:
– Sets signal_dir = 1 for a buy, or -1 for a sell.
– Draws a box from the original FVG bar to the bar just before the breakout (extended a bit to the right), between the gap high and gap low.
– Plots an ▲ label for buys or ▼ label for sells.
– Triggers the corresponding alert conditions.
Now the parameters:
PipSizeMultilier (PipSizeManual)
Multiplies the symbol’s minimum tick size (syminfo.mintick).
It is used when converting “MinFVG_Pips” into an actual price distance.
If you feel the indicator is too sensitive (too many small gaps), you can increase this multiplier to effectively require a larger price difference.
TickSize
Internal value = syminfo.mintick * PipSizeMultiplier.
This is the actual price step the script uses as a “pip” when checking minimum gap size.
FVG Search Lookback (IFVG_GapBars)
How many bars back from the current bar the script will scan for a 3-candle FVG pattern.
Larger value = it can find older FVGs, but loop cost is higher.
Min FVG Size (Pips/Points) (MinFVG_Pips)
Minimum allowed size of the gap, measured in “pips/points” using TickSize.
If the vertical distance between the gap high and gap low is smaller than this, the gap is ignored.
0.0 means “no size filter” (every FVG is allowed).
FVG Epsilon (Price Units) (FVG_EpsPoints)
Tolerance for the FVG detection.
It is subtracted/added in the condition that checks “low > old high” or “high < old low”.
0.0 means strict gap (no overlap at all). A small positive epsilon allows tiny overlaps to still count as a gap.
Show IFVG Zones (ShowZones)
If true, the script draws a box over the IFVG zone when a signal is confirmed.
If false, no boxes are drawn; you only see the ▲ / ▼ markers and alerts.
Buy Zone Color (ZoneColorBuy)
Fill color and border color for boxes created from bearish FVGs that later produce a buy signal.
Sell Zone Color (ZoneColorSell)
Fill color and border color for boxes created from bullish FVGs that later produce a sell signal.
Box Extension (Bars) (BoxExtension)
How many extra bars to extend the right side of the box beyond the breakout bar.
The internal right coordinate is “bar_index - 1 + BoxExtension”.
Increase this if you want the zone to visually extend further into the future.
MA Period (MA_Period)
Lookback length of the moving average used as a trend filter.
MA Type (MA_Kind)
Type of moving average: “SMA” or “EMA”.
If SMA is chosen, the script uses ta.sma; if EMA, it uses ta.ema.
Moving-average filter behavior:
For sell signals (from bullish FVG): MA must be sloping down (MA < MA ) and price must be below MA.
For buy signals (from bearish FVG): MA must be sloping up (MA > MA ) and price must be above MA.
If these conditions are not satisfied, the FVG is ignored even if the gap and breakout conditions are met.
Signals and alerts:
signal_dir = 1 → buy signal, ▲ label below the bar, “IFVG Buy Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = -1 → sell signal, ▼ label above the bar, “IFVG Sell Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = 0 → no new signal on this bar.
In short:
This indicator finds 3-candle IFVG gaps, filters them by size and trend, waits for a clean breakout through the gap, draws a box on the original gap zone, and gives you a clear buy or sell signal plus alerts.
Simulateur Carnet d'Ordres & Liquidité [Sese] - Custom🔹 Indicator Name
Order Book & Liquidity Simulator - Custom
🔹 Concept and Functionality
This indicator is a technical analysis tool designed to visually simulate market depth (Order Book) and potential liquidity zones.
It is important to adhere to TradingView's transparency rules: This script does not access real Level 2 data (the actual exchange order book). Instead, it uses a deductive algorithm based on historical Price Action to estimate where Buy Limit (Bid) and Sell Limit (Ask) orders might be resting.
Methodology used by the script:
Pivot Detection: The indicator scans for significant Swing Highs and Swing Lows over a user-defined lookback period (Length).
Level Projection: These pivots are projected to the right as horizontal lines.
Red Lines (Ask): Represent potential resistance zones (sellers).
Blue Lines (Bid): Represent potential support zones (buyers).
Liquidity Management (Absorption): The script is dynamic. If the current price crosses a line, the indicator assumes the liquidity at that level has been consumed (orders filled). The line is then automatically deleted from the chart.
Density Profile (Right Side): Horizontal bars appear to the right of the current price. These approximate a "Time Price Opportunity" or Volume Profile, showing where the market has spent the most time recently.
🔹 User Manual (Settings)
Here is how to configure the inputs to match your trading style:
1. Detection Algorithm
Lookback Length (Candles): Determines the sensitivity of the pivots.
Low value (e.g., 10): Shows many lines (scalping/short term).
High value (e.g., 50): Shows only major structural levels (swing trading).
Volume Factor: (Technical note: In this specific code version, this variable is calculated but the lines are primarily drawn based on geometric pivots).
2. Visual Settings
Show Price Lines (Bid/Ask): Toggles the horizontal Support/Resistance lines on or off.
Show Volume Profile: Toggles the heatmap-style bars on the right side of the chart.
Extend Lines: If checked, untouched lines will extend to the right towards the current price bar.
3. Colors and Transparency Management
Customize the aesthetics to keep your chart clean:
Bid / Ask Colors: Choose your base colors (Default is Blue and Red).
Line Transparency (%): Crucial for chart visibility.
0% = Solid, bright colors.
80-90% = Very subtle, faint lines (recommended if you overlay this on other tools).
Text Size: Adjusts the size of the price labels ("BUY LIMIT" / "SELL LIMIT").
🔹 How to Read the Indicator
Rejections: Unbroken lines act as potential walls. Watch for price reaction when approaching a blue line (support) or red line (resistance).
Breakouts/Absorption: When a line disappears, it means the level has been breached. The market may then seek the next liquidity level (the next line).
Density (Right-side boxes): More opaque/visible boxes indicate a price zone "accepted" by the market (consolidation). Empty gaps suggest an imbalance where price might move through quickly.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only. It is a simulation based on price history, not real-time order book data. Past performance is not indicative of future results. Trading involves risk.
ICT Fair Value Gap (FVG) Detector │ Auto-Mitigated │ 2025Accurate ICT / Smart Money Concepts Fair Value Gap (FVG) detector
Features:
• Detects both Bullish (-FVG) and Bearish (+FVG) using strict 3-candle rule
• Boxes automatically extend right until price mitigates them
• Boxes auto-delete when price closes inside the gap (true mitigation)
• No repainting – 100% reliable
• Clean, lightweight, and works on all markets & timeframes
• Fully customizable colors and transparency
How to use:
– Bullish FVG (green) = potential support / buy zone in uptrend
– Bearish FVG (red) = potential resistance / sell zone in downtrend
Exactly matches The Inner Circle Trader (ICT) methodology used by thousands of SMC traders in 2024–2025.
Enjoy and trade safe!
