Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands
Overview
Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity.
Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction.
This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions.
Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators.
Conceptual Framework
Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns.
Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume.
Three core principles guide the design:
Trend direction should correspond to volume-weighted flow dominance, not price movement alone.
Band width must adapt dynamically to current flow strength and volatility conditions.
Flow intensity context reveals whether regimes formed under conviction or uncertainty.
This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries.
Theoretical Foundation
The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification.
A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers.
Four internal systems operate in tandem:
Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing.
Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization.
Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling.
Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion.
This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone.
How It Works
Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes:
Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high).
Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1.
Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments.
Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference.
Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction.
Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend.
Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise.
Together, these elements form a continuously updating trend framework anchored in volume flow reality.
Interpretation
Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries:
Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance.
Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support.
Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum.
Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods.
Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points.
Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets.
Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline.
Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods.
Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations.
Signal Logic & Visual Cues
Smart Money Flow Cloud presents three primary interaction signals:
Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition.
Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition.
Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise.
Alert generation covers regime switches and retest events for systematic monitoring.
Strategy Integration
Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches:
Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts.
Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks.
Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow).
Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction.
Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction.
Technical Implementation Details
Core Engine : Configurable EMA or ALMA baseline with secondary smoothing
Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization
Strength Transformation : Configurable power function for nonlinear flow amplification
Band Construction : ATR-scaled width with flow-strength-interpolated multipliers
Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge
Signal Logic : Band crossover detection with baseline retest identification and cooldown management
Performance Profile : Optimized for real-time execution with minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure regime detection for scalping and intraday reversals
15 - 60 min : Intraday trend identification with flow-validated swings
4H - Daily : Swing and position-level regime analysis with institutional flow context
Suggested Baseline Configuration:
Trend Length : 34
Trend Engine : EMA
Trend Smoothing : 3
Flow Window : 24
Flow Smoothing : 5
Flow Boost : 1.2
ATR Length : 14
Band Tightness (Calm) : 0.9
Band Expansion (Strong Flow) : 2.2
Reset Cooldown : 12
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity.
Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering.
Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation.
Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection.
Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries.
Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity.
Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume participation and institutional flow
Instruments where volume accurately reflects true liquidity and conviction
Trending environments where flow confirms directional price movement
Mean-reversion strategies using retest signals within established regimes
Reduced Effectiveness:
Extremely low volume environments where flow calculations become unreliable
News-driven or gapped markets with discontinuous volume patterns
Highly manipulated or thinly traded instruments with erratic volume distribution
Ranging markets where price oscillates within bands without conviction
Integration Guidelines
Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile
Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion
Context Awareness : Consider whether current market regime matches historical flow patterns
Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries
Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation
Disclaimer
Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Smartmoney
SA Range Rank WMT DAY 1.13.2026 PM SESSIONDAILY — PREPARE / POSITION MODE
Developer Note: Bias & Position Framing
This daily view is preparatory, not executable.
The purpose of the Daily timeframe is to define directional bias, not entries.
It helps frame which side of the market deserves attention and which activity should be ignored.
The goal here is context, not action.
________________________________________
Purpose on Daily
The Daily timeframe is used to:
• Define directional bias for the week
• Prepare position-building zones
• Identify environments where participation is unnecessary or elevated-risk
• Reduce overtrading by narrowing focus
Daily charts answer one question only:
“If I participate this week, which side makes sense?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Is the market transitioning or trending?
→ Is energy building, releasing, or rotating?
SA ZoneEngine (visual context only):
→ Are daily moves aligned with higher-timeframe structure?
→ Is price operating with or against dominant bias?
These visuals explain environment, not decisions.
________________________________________
How to Interpret Public Daily Posts
• Daily is not timing
• Daily is not execution
• Daily is not a signal
Daily charts prepare the trader mentally and structurally by clarifying:
• what deserves patience
• what deserves caution
• what deserves no attention at all
________________________________________
Messaging Line
“Daily charts prepare the trade — they don’t execute it.”
________________________________________
SEO Intent
daily equity bias, position preparation, market structure analysis
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
________________________________________
________________________________________
⏱ 15-MIN — PREPARE / POSITION MODE
Developer Note: Setup Formation Phase
The 15-minute timeframe is where setups begin to form, not where they are acted on.
This view exists to separate developing structure from noise.
________________________________________
Purpose on 15-Minute
The 15-minute timeframe is used to:
• Spot trap-prone conditions
• Identify developing structure
• Observe compression, rotation, or early expansion
• Prepare for execution — without acting
This timeframe answers a different question:
“Is something forming — or is this noise?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Compression → expansion transitions
→ Energy buildup vs premature release
SA CloudRegimes (visual only):
→ Whether price behavior reflects continuation, pullback, or contraction
→ Whether movement is controlled or impulsive
These visuals describe behavior, not entries.
________________________________________
How to Interpret Public 15-Minute Posts
• 15m is setup formation
• 15m is environmental awareness
• 15m is not execution
Most errors occur when traders act before structure has finished forming.
This timeframe exists to slow that impulse down.
________________________________________
Messaging Line
“Preparation happens before the move — not during it.”
________________________________________
SEO Intent
15 minute futures setup, market preparation, stop hunt behavior
________________________________________
🤝 For Those Who Find Value
If these posts help you better recognize developing structure:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
Daily (D) — Swing Bias / “This is the side that has permission”
Goal: Define swing participation: are we in a supported trend or mean-revert risk?
How to use:
• Daily RECLAIM = “permission restored” after a shock move / trend resumption.
• Use it to decide:
Hold adds / reduce hedges / stop fighting direction.
Best use case:
• After earnings/news displacement days
• After large liquidation candles
• After a major gap day
Settings:
• dispMult 1.1–1.5
• reclaimWindow 12–25
• cooldown 6–12
🔵 DAILY — Swing Environment & Risk Framing
1️⃣ Range Indicator (RI)
• Compression → swing expansion likely
• Expansion → continuation or exhaustion
Use:
Tells you whether to expect patience or momentum.
________________________________________
2️⃣ ZoneEngine (Structure)
• Confirms whether daily swings align with higher bias
• Filters false daily breakouts
Use:
Only trust daily moves that occur inside structure.
________________________________________
3️⃣ Cloud / Reclaim (Behavior)
• Trend Clouds → continuation environment
• Pullback Clouds → reload or fade zones
• Reclaim shows acceptance back into value
Use:
Distinguishes real pullbacks from traps.
________________________________________
4️⃣ Stop-Hunt Proxy
• Clears weak swing participants
• Often precedes continuation when aligned
Use:
Stop-hunt + compression + trend cloud = swing continuation context.
Signal Architect Stop-Hunt !GC HOUR.1.12.2026 AM Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt !GC. 15 MIN. 1.12.2026 . AM SESSIONSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt GOLD 5MINSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
SA Range Rank NQ 1.13.2026 PM SESSION15 MINUTE — PREPARE / POSITION MODE
Developer Note: Bias & Position Framing
This daily view is preparatory, not executable.
The purpose of the Daily timeframe is to define directional bias, not entries.
It helps frame which side of the market deserves attention and which activity should be ignored.
The goal here is context, not action.
________________________________________
Purpose on Daily
The Daily timeframe is used to:
• Define directional bias for the week
• Prepare position-building zones
• Identify environments where participation is unnecessary or elevated-risk
• Reduce overtrading by narrowing focus
Daily charts answer one question only:
“If I participate this week, which side makes sense?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Is the market transitioning or trending?
→ Is energy building, releasing, or rotating?
SA ZoneEngine (visual context only):
→ Are daily moves aligned with higher-timeframe structure?
→ Is price operating with or against dominant bias?
These visuals explain environment, not decisions.
________________________________________
How to Interpret Public Daily Posts
• Daily is not timing
• Daily is not execution
• Daily is not a signal
Daily charts prepare the trader mentally and structurally by clarifying:
• what deserves patience
• what deserves caution
• what deserves no attention at all
________________________________________
Messaging Line
“Daily charts prepare the trade — they don’t execute it.”
________________________________________
SEO Intent
daily equity bias, position preparation, market structure analysis
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
________________________________________
________________________________________
⏱ 15-MIN — PREPARE / POSITION MODE
Developer Note: Setup Formation Phase
The 15-minute timeframe is where setups begin to form, not where they are acted on.
This view exists to separate developing structure from noise.
________________________________________
Purpose on 15-Minute
The 15-minute timeframe is used to:
• Spot trap-prone conditions
• Identify developing structure
• Observe compression, rotation, or early expansion
• Prepare for execution — without acting
This timeframe answers a different question:
“Is something forming — or is this noise?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Compression → expansion transitions
→ Energy buildup vs premature release
SA CloudRegimes (visual only):
→ Whether price behavior reflects continuation, pullback, or contraction
→ Whether movement is controlled or impulsive
These visuals describe behavior, not entries.
________________________________________
How to Interpret Public 15-Minute Posts
• 15m is setup formation
• 15m is environmental awareness
• 15m is not execution
Most errors occur when traders act before structure has finished forming.
This timeframe exists to slow that impulse down.
________________________________________
Messaging Line
“Preparation happens before the move — not during it.”
________________________________________
________________________________________
🤝 For Those Who Find Value
If these posts help you better recognize developing structure:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
15 Minute (15m) — Tactical Entry Alignment / “Permission + Timing”
Goal: Convert higher-timeframe permission into tradable timing.
How to use:
• Trade the first clean reclaim after a pullback.
• Avoid taking a reclaim if price is already extended far beyond the wake edge (late reclaim).
Best conditions:
• Works extremely well when:
o 1H agrees
o session structure is active (open/close windows)
o reclaim occurs near VWAP or a key level you already respect
Settings:
• dispMult 0.75–1.05
• reclaimWindow 6–14
• cooldown 3–6
🟠 15-MINUTE — Intraday Structure & Session Logic
1️⃣ Range Indicator (RI)
• Session compression → impulse likely
• Expansion → follow, don’t fade
Use:
Defines session behavior.
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2️⃣ ZoneEngine (Structure)
• Filters session traps
• Explains failed breakouts
Use:
Keeps you aligned with real participation.
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3️⃣ Cloud / Reclaim (Behavior)
• Identifies pullback vs continuation
• Reclaim confirms acceptance
Use:
Contextual confirmation.
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4️⃣ Stop-Hunt Proxy
• Session liquidity sweeps
• Common near opens and transitions
Use:
Stop-hunt + compression = likely session impulse.
Gold Sniper: Sweep + Patterns (Stansbooth)Gold Sniper: Sweep + Patterns is a precision trading indicator designed specifically for gold (XAUUSD) traders who want clear, high-probability entries based on liquidity sweeps and price action patterns.
The indicator identifies liquidity sweeps—areas where price hunts stops above highs or below lows—then confirms potential reversals or continuations using smart price patterns. By combining these two concepts, Gold Sniper helps traders spot moments when large players have entered the market and momentum is likely to shift.
Key Features
Liquidity Sweep Detection
Automatically highlights stop-hunt moves above resistance or below support.
Pattern Confirmation
Uses refined price action patterns (such as structure shifts and candle formations) to validate entries.
Gold-Optimized Logic
Tuned specifically for XAUUSD’s volatility and behavior.
Clear Buy & Sell Signals
Visual signals that reduce noise and eliminate guesswork.
Intraday & Scalping Friendly
Works well on lower timeframes while remaining reliable on higher ones.
Why Use Gold Sniper?
Gold Sniper is built for traders who want to trade with institutions, not against them. By waiting for liquidity to be taken and patterns to confirm, the indicator helps avoid false breakouts and chase trades—focusing instead on sniper-level precision entries.
Ideal for scalpers, day traders, and swing traders looking for clean setups, better timing, and higher win-rate opportunities in the gold market.
AIO Advanced Market Structure with Smart Money DetectionOVERVIEW
A professional market structure indicator that detects Break of Structure (BOS) and Change of Character (CHoCH) with intelligent multi-factor quality scoring. It combines rigorous pivot validation, comprehensive BOS rating system, volatility detection, and adaptive visual feedback to identify high-probability structural shifts and institutional entry zones while filtering out noise.
What Makes This Different:
Multi-Factor BOS Scoring (0-100) - 7 weighted metrics evaluate break quality in real-time
3-Tier Star Ratings - ★/★★/★★★ classification prioritizes premium setups
Integrated Volatility Detection - Measures price expansion at structure breaks to confirm institutional activity
Institutional Zone Identification - Combines BOS + Volatility to highlight probable big player entry areas
Smart Order Flow Logic - Validates momentum and participation before signaling entries
CORE FEATURES
1. ADVANCED MARKET STRUCTURE DETECTION
Pivot-Based Structure Logic:
Configurable Pivot Period: Default 4-bar swing detection for flexibility across timeframes
Price Mode Options: High/Low or Close-based pivot identification
Direction Filtering: Show Both, Only Up, or Only Down structures
Dynamic Line Extension: Lines extend until broken with customizable style and width
Historical Tracking: Maintains up to 30 structure lines with automatic cleanup
Structure Types:
BOS (Break of Structure): Continuation pattern - price breaks previous structure in trend direction
CHoCH (Change of Character): Reversal pattern - price breaks against previous trend direction
2. INTELLIGENT BOS SCORING SYSTEM (0-100)
Seven Quality Metrics:
Body Strength (30% default weight):
- Measures candle body size vs ATR
- Normalized score: body / (1.5 × ATR)
- Strong bodies indicate conviction
Close Distance (25% default weight):
- Measures how far close is from broken level
- Normalized: distance / (0.5 × ATR)
- Deeper penetration scores higher
Volume Confirmation (20% default weight):
- Compares current volume to 20-bar SMA
- Ratio-based scoring: (volume / avg - 1.0)
- Optional - can be disabled for non-volume instruments
Trend Alignment (10% default weight):
- Checks if break aligns with Magic Bands trend direction
- Binary score: 1.0 if aligned, 0.0 if not
- Uses 6× ATR Magic Bands with modified trailing
- Note: Magic Bands require 34 bars of price history to establish initial trend direction and volatility baseline. On newly loaded charts or small datasets, the first 34 bars are used for calculation warmup and trend signals may be unavailable during this period.
Previous Touches (15% default weight):
- Counts prior structure level tests
- Scores higher with more historical touches (0-2 touches tracked)
- Touch threshold: 0.5 × ATR proximity
Pre-Break Momentum (10% default weight):
- Analyzes 3 bars before break (configurable 1-10)
- Counts bars closing in break direction
- Score = aligned bars / total bars checked
Wick Penalty (10% default weight):
- Penalizes excessive wicks in 5-bar lookback (configurable 1-30)
- Triggered when wick > 1.2 × ATR (adjustable multiplier)
- Binary penalty applied to final score
Scoring Calculation:
The indicator evaluates each BOS using three different weight configurations and automatically selects the highest score. This ensures quality setups aren't missed due to weight configuration bias. Scores are calculated once when the BOS bar closes and stored permanently using a unique identification key (bar index + price level + direction).
Storage Persistence:
Scores remain stored in the indicator's memory maps until you remove the indicator from the chart or reset TradingView. This means:
Scores survive chart refreshes and timeframe changes
Historical BOS maintain their original quality ratings
No recalculation = no repainting or score changes over time
To reset scores: Remove indicator and re-add it to the chart
Star Rating Assignment:
★★★ (3 Stars): Score ≥ 75 - Premium quality breaks
★★ (2 Stars): Score ≥ 50 - Good quality breaks
★ (1 Star): Score < 50 - Average quality breaks
3. VOLATILITY EXPANSION DETECTION
Core Volatility Logic:
The indicator tracks price range expansion using a volatility oscillator based on the Rate of Change of the High-Low range. When this oscillator crosses above zero, it signals an expansion in price volatility - often indicating increased institutional participation or significant order flow.
Calculation Method:
Monitors exponential moving average of High-Low range (default 10 periods)
Calculates 12-period rate of change on this EMA
Signals when Rate of Change crosses from negative to positive territory
This cross-up indicates price is expanding faster than recent average
Optional Confirmation Filters:
Volume Confirmation:
- Requires volume > 1.5× 20-period SMA
- Ensures institutional participation and real order flow
- Filters out low-volume false breakouts
MA Filter:
- Requires price > 50-period MA for up moves
- Confirms directional bias aligns with broader trend
- Prevents counter-trend volatility signals
ADX Filter:
- Requires ADX > 20 (default threshold)
- Validates trend strength using 14-period ADX
- Confirms momentum is building, not just noise
Visual Feedback:
Bar Color: Optional blue bar on confirmed volatility expansion
Shape Marker: Optional small square above bar
Background: Optional light blue background highlight
4. BOS + VOLATILITY: INSTITUTIONAL ENTRY ZONES
Why This Combination Matters:
When Break of Structure and Volatility Expansion occur together, it creates a high-probability scenario:
BOS Confirms Trend Direction
- Price breaks key structure level
- Market participants shift bias
- New trend leg potentially beginning
Volatility Confirms Participation
- Price range expanding aggressively
- Volume often spiking simultaneously
- Indicates institutional order flow entering
Combined Signal = Smart Money Zone
- Big players likely accumulating/distributing at these levels
- Price "snapping" through structure with conviction
- Entry zone with favorable risk/reward as institutions establish positions
Practical Recognition:
Look for this pattern sequence:
Price approaches key structure level (prior high/low)
BOS label appears (especially ★★★ or ★★)
Volatility bar color/shape appears on same or next bar
Volume spike visible (if using volume filter)
This is your institutional entry zone
Trading Application:
Scenario 1 - Trend Continuation Entry:
★★ or ★★★ BOS detected
Volatility expansion present
Price closes strong above structure
Action: Enter long on pullback to broken structure level or at volatility expansion bar
Logic: Institutions accumulated on break, pullback offers better entry
Scenario 2 - Breakout Entry:
★★ or ★★★ BOS detected
Volatility expansion + volume spike together
Price shows strong momentum candle
Action: Enter immediately in break direction with tight stop below structure
Logic: Strong institutional participation = less likely to fail immediately
Scenario 3 - Reversal Confirmation:
★★ or ★★★ CHoCH signal (Change of Character)
Volatility expansion present
Breaks against previous trend direction
Action: Exit trend positions, consider counter-trend entry
Logic: Institutions reversing, trend exhaustion confirmed
Why Big Players Enter at BOS + Volatility:
Liquidity Available: Structure breaks trigger stop losses and breakout orders = liquidity pool
Reduced Slippage: High volatility = more volume = easier to fill large orders
Momentum Confirmation: Expansion validates the move isn't false
Optimal Risk/Reward: Entry at structure with defined invalidation point
ALERTS & UI
Alert Types:
BOS/CHoCH Alerts:
- Triggered on bar close after star filter pass
- Format: "TF: . - - "
- Optional direction and score display
- Filtered by star rating setting
Volatility Alerts:
- Triggered on confirmed volatility expansion (ROC cross-up)
- Format: "Volatility up confirmed on TF: "
- Only when all enabled filters pass
- Independent of BOS alerts
Alert Filtering:
Respects "Show Direction" setting
Respects "Show Labels" star filter
Only fires on barstate.isconfirmed - no repainting
Market Structure Table: Shows latest confirmed BOS/CHoCH event with direction indicator (Up/Down), type indicator (BOS/CHoCH), and color-coded background. Configurable position and text size.
IMPLEMENTATION NOTES
Non-Repainting: All scores calculated on barstate.isconfirmed. Labels only created after bar close. Storage commits happen once per unique BOS. Historical BOS maintain original scores permanently.
Magic Bands Warmup: Requires 34 bars of price history to establish initial trend direction and volatility baseline. On newly loaded charts, the first 34 bars are used for calculation warmup.
Score Storage: Maps persist until indicator removed or TradingView reset. Historical data survives chart refreshes and timeframe changes. To reset all scores, remove indicator and re-add to chart.
Known Limitations:
Score calculation uses close prices (not tick-level data)
Volatility detection only tracks upward expansion (not downward compression)
Volume data quality varies by broker/exchange - test reliability before using volume filters
WHAT MAKES THIS UNIQUE
Combines intelligent multi-factor BOS scoring with volatility expansion detection to identify institutional entry zones. The dual-signal approach (structure break + participation confirmation) provides high-probability setups that align with professional order flow. Performance-optimized with permanent storage system ensures consistency without repainting while delivering institutional-grade market structure analysis.
Legacy Lab FX Pro [Institutional Protocol]Legacy Lab FX Pro is a comprehensive trading system designed to automate the detection of institutional liquidity sweeps during the New York Session. Built on the logic that "breakouts" during specific time windows are often liquidity traps, this tool helps traders identify high-probability reversals at the 8:00 AM EST Open.
1. The Methodology: The London Sweep
The core logic of this indicator is based on time-segmented price action. It tracks the specific "Liquidity Build" phase established during the London Session (default 02:00 – 07:00 EST).
The Trap: Retail traders often place stop losses just above or below this range.
The Sweep: Institutions push price past these levels to collect liquidity before reversing.
The Logic: The indicator waits for a "Sweep" (a wick that breaks the range but closes back inside) during the Execution Window (08:00 – 12:00 EST).
2. Key Features
A. Visual Liquidity Ranges The script automatically highlights the specific Highs and Lows of the London session with an Orange Liquidity Box. This removes the need to manually draw lines or calculate time zones.
B. "Gold Candle" Confirmation When a valid sweep occurs that meets all filter criteria (ATR, Trend, Time), the signal candle is painted GOLD. This serves as a visual execution trigger.
C. Integrated Risk Management The indicator projects a fixed, rule-based risk framework onto the chart:
Stop Loss (Red): Fixed pip distance (Default: 10 pips) from the sweep level.
TP1 (Green): 0.8R (Conservative banking).
TP2 (Green): 1.6R (Standard target).
TP3 (Green): 2.4R (Extended institutional target).
D. Smart Data Dashboard The bottom-right panel provides real-time backtesting data for the current chart. It features a unique "Best Reached" logic, which calculates the maximum potential R-multiple of every signal (e.g., if price hits TP2 then reverses, it is recorded as a +1.6R win rather than a loss).
Win Rate %
Net R (Return on Risk)
Total Trade Count
3. Institutional Filters
To prevent false signals during high-volatility news events or strong trends, the script includes:
ATR Filter: Rejects signals if the candle is abnormally large (Volatility protection).
Trend Filter: Optional 200 EMA filter to only take trades in the direction of the long-term trend.
Sweep Size: Configurable minimum pip distance required for a sweep to be valid.
4. How to Use
Timezone: Ensure your chart is set to New York time (or adjust the settings to match your local time).
Wait: Allow the Orange Liquidity Box to form (2am-7am).
Signal: Wait for a Gold Candle to appear during the 8am-12pm window.
Execute: Enter at the close of the Gold Candle. Place SL at the Red Line and TPs at the Green Lines.
5. Settings Configuration
Session Timing: fully customizable start/end times for the range and the entry window.
Risk Protocol: Adjust the fixed SL pips and R-Multiples for TP1, TP2, and TP3.
JPY Pairs: Check box to integrate automated pip-size detection engine.
Backtest Engine: Toggle between "TP1 Only" mode (conservative stats) or "Best Reached" mode (maximum potential stats).
This script is Invite-Only. It is the official tool of the Legacy Lab FX trading community. Access is granted to members to ensure proper understanding of the liquidity protocols used within the code.
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants.
✨ Originality and Utility
Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics.
🔬 Methodology
The underlying calculation of the SMFO relies on several distinct quantitative layers:
• Efficiency Analysis
The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average.
If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient."
If significant volume occurs with little price movement (churn/absorption), the efficiency score drops.
This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data.
• Momentum Thresholding
Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator.
• Variable Flow Calculation
If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier.
Bullish Flow: Strong upward movement adds to the positive delta.
Bearish Flow: Strong downward movement adds to the negative delta.
Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation.
• Calculation Modes
Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum.
In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions.
📖 How to Use
Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals:
• Signal Line Crossovers
The indicator plots the main Flow line (colored gradient) and a Signal line (grey).
Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement.
Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure.
• Divergences
The script automatically detects and plots divergences between price and the oscillator:
Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low).
Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low).
"R" labels denote Regular, and "H" labels denote Hidden divergences.
• Dashboard
A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status.
• In/Out Ratio Levels
When using the Ratio mode:
Values above 50 indicate net buying pressure.
Values below 50 indicate net selling pressure.
Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion.
⚙️ Inputs and Settings
Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus).
Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly).
Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled.
Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline.
Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles.
Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move.
Show Dashboard/Divergences: Toggles for visual elements.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks:
• 1. The Amihud Illiquidity Ratio (2002)
The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control.
• 2. Kyle’s Lambda (1985) & Market Depth
Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity.
• 3. Wyckoff’s Law of Effort vs. Result
From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals.
• 4. Quantitative Advantage: Efficiency-Weighted Volume
Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
ICT Liquidity Sessions FrameworkICT Liquidity Session Framework
A clean, session-based ICT framework that maps institutional liquidity through global sessions, killzones, and key higher-timeframe levels.
✂️ Overview
The ICT Liquidity Session Framework is a structured, market-agnostic indicator designed to visualize institutional liquidity behavior across global trading sessions.
This tool focuses on context, timing, and liquidity environments, not trade signals — making it ideal for discretionary traders who follow ICT, smart money, and session-based methodologies.
5m Chart on NQ
✨ Key Features:
🔹 Global Trading Sessions
- Asia, London, and New York session brackets
- Dynamic tracking of session highs and lows
- Displayed above price to maintain chart clarity
🔹 ICT Killzones
- London Killzone
- New York AM Killzone
- New York PM Killzone
- Positioned below price for instant contextual awareness
🔹 Higher-Timeframe Liquidity Levels
- Previous Day High / Low (PDH / PDL)
- Previous Week High / Low (PWH / PWL)
- Clearly labeled and extended forward
🔹 Institutional Open Levels
- New York Midnight Open
- New York 08:30 Equities Open
- Optional display with visual distinction
🔹 Timezone & Market Agnostic
- Selectable exchange timezone
- Percentage-based vertical spacing adapts to volatility
- Suitable for indices, futures, FX, and crypto
🔹 Performance Optimized
- Adjustable historical lookback window
- Efficient object handling on lower timeframes
- Designed for intraday execution without clutter
1h Chart on NQ
🛠️ Settings Overview:
Lookback Days
Controls how many historical days are displayed to improve performance on lower timeframes.
Exchange Timezone
Select the timezone used for session and open calculations.
Vertical Gap %
Adjusts the spacing between price and session/killzone brackets.
Box Thickness (Ticks)
Controls the height of session and killzone brackets.
Session Toggles
- Show Asia Session
- Show London Session
- Show New York Session
- Show Killzones
Price Level Toggles
- Midnight & 08:30 Open
- Previous Day High / Low
- Previous Week High / Low
15m RTH Chart on NQ
📈 Best Practices
This indicator does not generate buy or sell signals.
It is designed to:
- Define high-probability liquidity environments
- Provide structure for session-based bias
- Highlight areas where liquidity is commonly engineered and targeted
Support ICT concepts such as:
- Liquidity runs and sweeps
- Market structure shifts
- Displacement and timing models
🎹 Recommended Usage
- Intraday timeframes: 1m – 15m
- Futures, indices, FX, crypto
Best paired with:
- Market structure analysis
- Fair Value Gaps
- Higher-timeframe bias
1m Chart on NQ
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not provide trading signals or financial advice.
Market conditions can change rapidly, and historical patterns or standard deviations do not predict future price movements. Users are responsible for their own decisions, including risk management, trade execution, and capital allocation.
The developer is not liable for any losses or damages resulting from the use of this indicator. By using this tool, you accept full responsibility for your trading actions.
📝 Final Note:
This framework is provided free to support discretionary traders focused on session-based liquidity analysis.
If you find this framework useful, consider adding it to your favorites and sharing feedback. Check out our other indicators available at our website.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Legacy Lab FX Pro [Ultra]Legacy Lab FX Pro is a comprehensive trading system designed to automate the detection of institutional liquidity sweeps during the New York Session. Built on the logic that "breakouts" during specific time windows are often liquidity traps, this tool helps traders identify high-probability reversals at the 8:00 AM EST Open.
1. The Methodology: The London Sweep
The core logic of this indicator is based on time-segmented price action. It tracks the specific "Liquidity Build" phase established during the London Session (default 02:00 – 07:00 EST).
The Trap: Retail traders often place stop losses just above or below this range.
The Sweep: Institutions push price past these levels to collect liquidity before reversing.
The Logic: The indicator waits for a "Sweep" (a wick that breaks the range but closes back inside) during the Execution Window (08:00 – 12:00 EST).
2. Key Features
A. Visual Liquidity Ranges The script automatically highlights the specific Highs and Lows of the London session with an Orange Liquidity Box. This removes the need to manually draw lines or calculate time zones.
B. "Gold Candle" Confirmation When a valid sweep occurs that meets all filter criteria (ATR, Trend, Time), the signal candle is painted GOLD. This serves as a visual execution trigger.
C. Integrated Risk Management The indicator projects a fixed, rule-based risk framework onto the chart:
Stop Loss (Red): Fixed pip distance (Default: 10 pips) from the sweep level.
TP1 (Green): 0.8R (Conservative banking).
TP2 (Green): 1.6R (Standard target).
TP3 (Green): 2.4R (Extended institutional target).
D. Smart Data Dashboard The bottom-right panel provides real-time backtesting data for the current chart. It features a unique "Best Reached" logic, which calculates the maximum potential R-multiple of every signal (e.g., if price hits TP2 then reverses, it is recorded as a +1.6R win rather than a loss).
Win Rate %
Net R (Return on Risk)
Total Trade Count
3. Institutional Filters
To prevent false signals during high-volatility news events or strong trends, the script includes:
ATR Filter: Rejects signals if the candle is abnormally large (Volatility protection).
Trend Filter: Optional 200 EMA filter to only take trades in the direction of the long-term trend.
Sweep Size: Configurable minimum pip distance required for a sweep to be valid.
4. How to Use
Timezone: Ensure your chart is set to New York time (or adjust the settings to match your local time).
Wait: Allow the Orange Liquidity Box to form (2am-7am).
Signal: Wait for a Gold Candle to appear during the 8am-12pm window.
Execute: Enter at the close of the Gold Candle. Place SL at the Red Line and TPs at the Green Lines.
5. Settings Configuration
Session Timing: fully customizable start/end times for the range and the entry window.
Risk Protocol: Adjust the fixed SL pips and R-Multiples for TP1, TP2, and TP3.
Backtest Engine: Toggle between "TP1 Only" mode (conservative stats) or "Best Reached" mode (maximum potential stats).
This script is Invite-Only. It is the official tool of the Legacy Lab FX trading community. Access is granted to members to ensure proper understanding of the liquidity protocols used within the code.
NWOG & NDOG Dynamic GapsThis indicator is designed for Price Action and ICT traders who need to track New Week Opening Gaps (NWOG) and New Day Opening Gaps (NDOG) without cluttering their charts.
Unlike standard gap indicators that leave static boxes behind, this script features Dynamic Mitigation Logic. As price trades into the open gap, the box automatically shrinks in real-time to show only the remaining, unfilled portion of the gap. Once a gap is fully closed (filled to the tick), it is automatically removed from the chart.
Key Features:
- Smart Detection: Automatically identifies gaps at the daily (NDOG) and weekly (NWOG) open.
- Dynamic Shrinking: The gap box updates on every bar. If price wicks into the gap, the box resizes to reflect the new support/resistance level.
- Clean Chart: Gaps are deleted immediately upon full closure.
- Priority Logic: Weekly gaps take precedence over daily gaps to prevent overlapping visuals.
High RR Trend Pullback [Premium] 🚀 High RR Trend Pullback
A **high-probability trend pullback indicator** built for traders who want **clean entries and strong risk–reward setups**.
This script uses:
* **200 EMA** for institutional trend direction
* **50 EMA + ATR zones** for precise pullback entries
* **Strong candle confirmation** to filter weak signals
Only trade **with the trend**, only enter at **value**, and only on **momentum confirmation**.
### ✅ Features
* Clear BUY / SELL signals
* Dynamic EMA & pullback zone visualization
* Smart on-chart dashboard
* Built-in alerts for automation
* Modern, clutter-free premium design
Works seamlessly on **Forex, Crypto, Indices, and Stocks**.
⚠️ *For educational purposes only. Always manage risk.*
ICT Smart Money Concepts SMC Malibu🔷 Overview
The Smart Money Concepts (SMC) indicator is a comprehensive toolkit designed for institutional-style trading analysis. It automatically identifies and visualizes key SMC structures including Order Blocks, Breaker Blocks, Fair Value Gaps, Liquidity Levels, and Market Structure shifts — all in real-time.
Built with precision and clarity in mind, this indicator eliminates chart clutter through intelligent zone clustering, ensuring only the most relevant and actionable levels are displayed.
🔷 Key Features
Order Blocks (OB) — Automatically detects bullish and bearish order blocks with mitigation tracking
Breaker Blocks (BB) — Identifies failed order blocks that convert into breaker zones
Fair Value Gaps (FVG/IFVG) — Spots imbalances and inverse FVGs with visual fill tracking
Liquidity Levels (BSL/SSL) — Maps buy-side and sell-side liquidity with smart clustering
Market Structure (BOS/ChoCH) — Tracks Break of Structure and Change of Character in real-time
Kill Zones — Highlights key trading sessions (Asia, London, NY AM, NY Lunch, NY PM)
HTF Dashboard — Displays higher timeframe OB, FVG, and BB zones for confluence
Unicorn Model — Detects the rare ICT Unicorn setup automatically
🔷 What Makes It Unique?
✅ Smart Overlap Prevention — When multiple zones form at the same price level, older zones are automatically removed, keeping only the most recent and relevant structure.
✅ Mitigation Tracking — Zones that have been mitigated fade automatically, allowing you to distinguish between fresh and used levels.
✅ Multi-Timeframe Confluence — The built-in HTF dashboard shows higher timeframe structures directly on your chart without switching timeframes.
✅ Clean & Professional Design — Every element is carefully styled for maximum clarity and minimal distraction.
🔷 How To Use
Enable the structures you want to see (OB, BB, FVG, Liquidity, etc.)
Use Kill Zones to focus on high-probability trading windows
Look for confluence between current timeframe structures and HTF dashboard levels
Trade reactions at fresh (non-mitigated) zones with proper risk management
🔷 Settings
All features are fully customizable:
Toggle each structure on/off independently
Adjust colors and transparency
Control maximum active zones
Show/hide historical (mitigated) levels
Customize Kill Zone sessions and times
🔷 Notes
Works on all markets (Forex, Crypto, Stocks, Indices)
Optimized for 1M to 4H timeframes
Best used in conjunction with your own analysis and risk management
📱 7-DAY FREE TRIAL: Website: harmonikprzmalibu.netlify.app/
[longshorti] FVG - Fair Value GapThis script is an educational tool designed to help traders and students of technical analysis visualize the concept of Fair Value Gaps (FVG) and price imbalances. It provides a mathematical framework to observe how these zones are formed and subsequently "mitigated" (filled) by price action over time.
By quantifying price gaps into data points like volume and percentage, this tool allows for a deeper study of market mechanics and liquidity concepts as described in various trading theories like Smart Money Concepts (SMC).
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📊 Educational Metrics Breakdown
The indicator provides a data label for each detected zone to help analyze the "life cycle" of an imbalance: Example: 17.86M / 13.66M USDT (75.4%)
Fill Progress (17.86M): * Weighted Mode: Shows a calculated value representing the physical fill of the gap relative to its initial volume.
Total Activity Mode: Tracks the total cumulative volume traded within the zone's coordinates since its inception.
Initial Impulse Volume (13.66M): The total volume of the candle that created the imbalance.
Remaining Open Gap ((75.4%)): A mathematical representation of the portion of the FVG that has not yet been touched by subsequent price action.
Relative Price Weight ( ): The height of the FVG expressed as a percentage of the asset's price at the time of creation.
Key Educational Features
Adaptive Step Visualization: Dynamically divides imbalances into "steps" to help students observe exactly where price finds support or resistance within a gap.
Price % Filtering: Teaches the user to distinguish between significant market imbalances and minor price noise based on a percentage threshold.
Historical Context: Past imbalances are kept on the chart in a subtle #363a45 color to allow for the study of "S/R Flip" phenomena (where a filled FVG later acts as support/resistance).
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⚠️ DISCLAIMER (Educational Purposes Only)
This script is provided for educational and research purposes only. It is not a financial advisor, and it does not provide financial advice or trade recommendations.
No Guarantees: Past performance as visualized by this tool does not guarantee future results.
Not a Signal Tool: This indicator should be used as a supplementary visualization aid and never as a standalone basis for making financial decisions.
Risk Warning: Trading in financial markets involves significant risk of loss. Always perform your own due diligence and consult with a certified financial professional before making any investment.
The author of this script is not responsible for any financial losses incurred through the use of this tool. By using this script, you acknowledge that you understand its educational nature and use it at your own risk.
How to Study with this Tool
Observe Mitigation: Watch how price reacts when it enters the "Remaining %" zone.
Volume Analysis: Compare the "Initial Volume" with the "Total Activity" to see how levels of high interest are formed.
Filtered Perspectives: Use the Price % filter to see how market structure changes when only major imbalances are considered.
Volume Edge Pro[wjdtks255]Volume Edge Pro: Indicator Description
Volume Edge Pro is an advanced volume analysis tool designed to identify institutional accumulation and significant supply levels. Unlike standard volume bars, this indicator categorizes trading volume into four distinct types based on price action and historical comparisons, helping traders spot high-probability breakout opportunities.
Key Components:
Blue Bars (PPV - Pocket Pivot Volume): Indicates institutional accumulation. It appears when up-day volume exceeds the highest down-day volume of the last 10 trading sessions.
Green Bars (RGV - Recent Green Volume): Represents strong buying pressure where up-day volume is higher than the 50-period moving average.
Red Bars (RRV - Recent Red Volume): Signifies heavy supply or selling pressure where down-day volume is higher than the 50-period moving average.
Grey Bars: Represents standard market volume without significant institutional involvement.
Trading Strategy (How to Trade)
1. Identifying Accumulation (The Base)
Look for multiple Blue Bars (PPV) during a consolidation phase or within a "base." This suggests that "Smart Money" is quietly accumulating shares without significantly driving up the price yet.
2. The Buy Signal
The ideal entry point is when the price breaks out of a consolidation resistance level, especially when the breakout is confirmed by a Blue (PPV) or Green (RGV) bar. The presence of PPV signals within the base increases the reliability of the breakout.
3. Overcoming Supply (The RRV Rule)
When a Red Bar (RRV) appears, it marks a level of "unconsumed supply."
Treat the high of the RRV candle as a resistance level.
A bullish reversal or continuation is confirmed only when the price reclaims the high of the RRV day or when subsequent PPVs/RGVs overwhelm the previous selling volume.
4. Risk Management
If a massive Red Bar (RRV) appears after a long uptrend and the price breaks below the prior support, it may indicate institutional distribution (selling), signaling a time to exit or tighten stop-losses.
Quant-Action Pro: Triple Confluence EngineQuant-Action Pro: Triple Confluence Engine
Systematic Framework for Structural Price Action Analysis
Quant-Action Pro is a high-performance analytical engine designed to synchronize institutional liquidity flow with market geometry. Instead of traditional "signals," this framework identifies Structural States where three independent algorithmic layers align, providing a objective roadmap for the current price action context.
1. Core Algorithmic Matrix
The engine operates by monitoring the interaction between price and three proprietary logic layers:
A. Institutional Flow Node (SP2L) —
Logic: Monitors "Passive Liquidity Absorption" at the 20-period EMA.
Function: Identifies zones where institutional buyers/sellers are defending the trend's equilibrium. This is not a simple touch; it requires a validated "Touch-and-Hold" sequence.
B. Structural Flip Scanner (BTB) —
Logic: Detects the transition from old supply to new demand (S/R Flip).
Function: Uses a 3-phase Break-Test-Break verification to confirm that a structural breakout is backed by volume, reducing the risk of "Fake-outs."
C. Liquidity Compression Monitor (Micro Map) —
Logic: Statistical range-contraction analysis (Volatility Squeeze).
Function: Signals a High-Density State where price is coiling for an expansion move.
2. The Golden State: Triple Confluence Logic
The GOLD label represents the "Apex" of this engine. It is triggered only when the SP2L, BTB, and Micro Map layers synchronize on a single candle. In structural terms, this means:
Trend Defense (SP2L) is active.
Structural Breakout (BTB) is confirmed.
Volatility Expansion (MM) is imminent.
This Triple-Layer filtering ensures that Golden Signals only appear during periods of maximum market conviction.
3. Professional Implementation (Structural View)
MTF Trend Matrix: A built-in dashboard provides a 1H, 4H, and 1D diagnosis to ensure local setups align with the Macro Trend.
Smart Invalidation (Adaptive Trendlines): The engine draws dynamic geometry to define the current "Structural Floor/Ceiling." A decisive close beyond these lines acts as a clear Invalidation Point for the current thesis.
Mean Reversion: The system uses the 200-EMA as the primary directional filter, defining whether the market is in a "Bullish Expansion" or "Bearish Correction" state.
⚠️ Risk Disclaimer
Trading financial instruments involves significant risk. Quant-Action Pro is an educational tool designed for research and structural analysis. It does not provide financial advice. Past performance is not indicative of future results. Always use strict risk management.
Price Action ICT SMC - Crypto Lidya (Lite)Price Action • ICT • SMC — Crypto Lidya (Lite)
Short title: PA Lite — Crypto Lidya
ONE CHART. ONE FLOW. TEXTBOOK PA + ICT + SMC.
This is not “more drawings”. It’s a structured, rule-based framework that merges:
Market Structure + Liquidity + Confirmation → into a single decision flow.
Core textbook sequence:
Liquidity → (IDM) → Displacement → CHoCH / BOS → Return to PD / OB / FVG / BPR
Built for traders who want clean context, multi-timeframe discipline, and professional-grade confluence
without turning the chart into a mess.
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WHAT YOU GET (HIGHLIGHTS)
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- Market Structure engine: CHoCH + BOS with configurable confirmation logic
- Liquidity context: EQH/EQL sweeps + deterministic “linking” to structure breaks
- HTF Bias (Regime Filter): optional direction gating for cleaner, textbook alignment
- TF Bias Table (Multi-TF dashboard): “at-a-glance” bias stacking with reasons
- PD Range (Premium/Discount): dealing-range alignment filter (OB / FVG or both)
- Displacement filter: impulse-quality confirmation (Body% / ATR / Close-position)
- Killzones / Sessions: time-window validation (London / NY AM / NY PM)
- FVG + BPR: imbalance mapping + balanced range overlap logic
- OB / BB engine: source models, refinement, quality filters, strength scoring, overlap pruning
- Alerts + Webhook-ready output: Human / JSON format, HTF gate, cooldown controls
“Structure + Liquidity + Confirmation in one workflow (no clutter).”
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QUICK START (RECOMMENDED FLOW)
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1) Performance
- Set Lookback Window (bars) to match your chart speed/history needs.
- View when “Lookback Window (bars)” is increased (with “Limit to Nearest” OFF / all zones visible).
- View when “Lookback Window (bars)” is decreased (with “Limit to Nearest” OFF / all zones visible).
2) Regime & Multi-TF Context (ICT)
- Enable HTF Bias if you want direction filtering.
- Use TF Bias Table to verify alignment across your chosen timeframes.
3) Timing Filter (Optional)
- Enable Killzones / Sessions to focus on high-liquidity delivery windows.
4) Confirmation Quality
- Enable Displacement filter to reduce range noise / weak breaks.
5) Structure Execution (SMC)
- Use CHoCH / BOS for the “break confirmation” layer.
- Use Buffers / Confirm Modes for stricter or faster validation.
6) Zones & Returns
- Use PD Range to validate where setups “should” form (Premium/Discount).
- Map FVG / BPR and OB / BB for return-to-zone models.
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MODULES (TEXTBOOK EXPLANATION)
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1) HTF BIAS (REGIME FILTER)
HTF Bias acts as your directional framework (macro context).
When enabled, signals can be suppressed if they conflict with the HTF direction.
Two professional ways to define bias (you choose via Trend Mode):
A) Swing Structure Bias (HH/HL – LH/LL) — “stable”
- Uptrend requires HH + HL confirmation
- Downtrend requires LL + LH confirmation
- Best when you want fewer, higher-quality flips
B) Legacy / Break of Extreme — “faster”
- Bias can flip as soon as a new pivot breaks the last major extreme
- Best for aggressive / fast markets (but can be noisier)
2) TF BIAS TABLE (MULTI-TIMEFRAME DASHBOARD)
The TF Bias Table is built for disciplined multi-timeframe execution:
- Answers “Are higher TFs aligned?” in seconds
- Helps you avoid taking LTF triggers against HTF context
- Can show reasoning text (optional) to keep the logic transparent
Bias calculation options (Table Bias Mode):
- Swing Structure Bias (HH/HL – LH/LL): more stable, flips later
- Structure-Scope Bias (msStructScope aligned): follows your chosen structure scope and flips faster
Hybrid rule is deterministic:
External dominates; if External is not ready, fallback to Internal.
Provisional Bias (UI only, optional):
- If pivots are not fully confirmed, the table can display a provisional bias based on HTF candle direction
- UI only (does not change signals)
3) PD RANGE (PREMIUM / DISCOUNT)
PD Range defines where price is “dealing” relative to its midpoint (50%):
- Bullish context → Discount is preferred
- Bearish context → Premium is preferred
You can apply PD filtering to:
- OB + FVG (default), OB only, or FVG only
Optional strict mode:
- Require the level/zone to remain fully inside the dealing range (more textbook)
“Discount buys / Premium sells with a clear dealing range reference.”
4) DISPLACEMENT (IMPULSE CONFIRMATION)
Displacement filter keeps breaks “honest”.
CHoCH/BOS confirms only if the break candle shows real intent:
- Body dominance (Body% rule)
- Volatility expansion (ATR multiple rule)
- Close position in break direction (optional strictness)
This is designed to reduce fake breaks in ranges and thin-liquidity periods.
“Impulse-quality break passes; weak range poke fails.”
5) KILLZONES / SESSIONS (TIME-WINDOW VALIDATION)
Session gating is a professional timing filter:
- Validate structure breaks/sweeps only inside enabled windows
- Focus execution during high-liquidity delivery hours (London / NY AM / NY PM)
“Cleaner signals when you trade only the active delivery windows.”
- Normal vs Killzone:
6) MARKET STRUCTURE (CHoCH / BOS)
CHoCH (Change of Character):
- Signals a character shift by breaking a key protected point (optionally)
BOS (Break of Structure):
- Confirms continuation breaks in the current structure direction
Confirmation controls:
- Close / Wick / Body / combined modes
- Optional buffers (Ticks or Percent) to reduce micro-noise
Optional Protected Swing Mode:
- Uses protected HL/LH as reference (closer to classic SMC)
7) LIQUIDITY (EQH/EQL SWEEPS + LINKING)
Liquidity sweeps identify stop-runs / grabs around equal highs/lows:
- Wick Only: faster tagging
- Wick + Close Back: more textbook (grab + rejection)
Link Window (bars) ties a sweep to the next CHoCH/BOS:
- Smaller window = stricter context
- Larger window = more permissive linking
8) FVG + BPR (IMBALANCE & REBALANCE)
FVG (Fair Value Gap):
- Shows active imbalances and mitigation behavior
- Optional size filter (Percent / ATR / Ticks / Absolute)
BPR (Balanced Price Range):
- Overlap zone formed by Bull FVG + Bear FVG
- Used as a confluence zone for rebalance and continuation models
9) OB / BB (ZONES)
Order Blocks (OB):
- Anchored to BOS/CHoCH breaks or derived from displacement candles (source mode)
- Refinement modes: Body / Wick / Mean Threshold
- Optional quality filter (Balanced / Strict, etc.)
- Strength scoring + confluence bonuses (FVG overlap, liquidity context)
- Overlap pruning keeps the chart clean and relevant
Breaker Blocks (BB):
- Derived from invalidated OBs
- Can show inherited strength % (optional)
- Cleanup options preserve performance without deleting open zones
10) ALERTS (REALTIME / WEBHOOK)
- Enable Alerts: master switch
- Choose Human or JSON message format
- Optional gates: HTF Bias alignment, cooldown (anti-spam)
TradingView setup tip:
Use alert condition = “Any alert() function call” for full detail messages.
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LITE / COMMUNITY ROADMAP (IMPORTANT)
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This is the free Lite / Community release.
To keep this project sustainable and continue improving it for the community:
- This Lite edition is planned to become limited to 3 symbols in a future update (e.g., BTC / ETH / SOL).
- The full, unrestricted version (all symbols + advanced upgrades) will be released separately as the PRO edition.
You’ll always see clear release notes before major changes.
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DISCLAIMERS
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- Educational / analytical tool only. Not financial advice.
- No guarantees. Always manage risk.
- “ICT / SMC” terminology is used as a category reference to commonly known concepts.
This script is not affiliated with any third-party educator or brand.
Liquidity Sweep Sniper AP StyleAP Capital – Liquidity Sweep Sniper (Fab-Style)
📌 Overview
This indicator is a precision scalping tool inspired by professional liquidity-based trading concepts often demonstrated by elite intraday scalpers.
The script focuses on liquidity sweeps followed by strong displacement, aiming to capture short, high-probability momentum moves — particularly effective on lower timeframes (1–5 min) during active market sessions.
It is not a signal spam tool. Signals appear only when multiple objective conditions align.
🧠 Core Concept
Markets do not move randomly — they seek liquidity before expanding.
This indicator identifies:
Buy-side / Sell-side liquidity
Liquidity sweeps (stop-hunts)
Strong displacement candles reclaiming price
Optional higher-timeframe trend alignment
Only when all conditions are met does a signal print.
🔍 What the Indicator Detects
1️⃣ Liquidity Pools
Equal highs or equal lows detected within a configurable lookback
Minimum number of touches required
ATR-based tolerance to adapt to volatility
These levels represent areas where stop orders are likely resting.
2️⃣ Liquidity Sweep
A valid sweep requires:
Price to wick beyond the liquidity level
Candle to close back inside the range
This indicates failed breakout / stop-hunt behaviour.
3️⃣ Displacement Confirmation
After the sweep, the candle must show:
Strong body (default >60% of candle range)
Candle range large relative to ATR
Clear directional intent (momentum)
This filters out weak reactions and chop.
4️⃣ Optional Trend Filter
EMA-based higher-timeframe bias
Helps align scalps with dominant direction
Can be enabled or disabled
📈 Signals
BUY: Sell-side liquidity sweep → bullish displacement
SELL: Buy-side liquidity sweep → bearish displacement
Signals are plotted directly on the chart and can be used with alerts.
⚙️ Recommended Usage
Markets: XAUUSD, indices, liquid FX pairs
Timeframes: 1m–5m
Sessions: London & New York (best performance)
Risk Management: Always required — this tool does not place trades
Best used as a confirmation tool, not standalone.
⚠️ Important Notes
This indicator is inspired by liquidity-based scalping concepts, not an exact replication of any individual trader’s private strategy.
No indicator predicts the future — this tool highlights high-probability scenarios, not guarantees.
Past performance is not indicative of future results.
Liquidity Void and Repair EngineLiquidity Void & Repair Engine
OVERVIEW
The Liquidity Void & Repair Engine is a high-fidelity institutional order flow tool designed to identify and track "Market Imbalances" or "Fair Value Gaps" (FVG). Unlike standard gap indicators that clutter the chart with every minor price jump, this engine uses Volatility-Adjusted Range Mapping to isolate high-conviction voids where price moved so rapidly that liquidity was left "unfilled."
The standout feature of this tool is its Active Repair Logic. The engine doesn't just draw static boxes; it monitors price action in real-time to determine when an imbalance has been "healed" by subsequent trading volume, providing a dynamic look at where the market has "unfinished business."
TECHNICAL LOGIC & ORIGINALITY
This script is published Open Source to contribute to the Pine Script community’s understanding of dynamic object management and order flow visualization.
ATR-Relative Filtering: To ensure only significant voids are plotted, the script uses a user-defined ATR (Average True Range) multiplier. This filters out market noise and focuses on institutional "impulse" moves.
Dynamic Box Management: Utilizing the Pine Script box array system, the script manages memory efficiently by updating existing objects rather than creating redundant ones.
The "Repair" Algorithm: The script tracks the high and low of every active void. When price action fully traverses the coordinates of a void, the script "seals" the box, visually marking the moment of liquidity equilibrium.
HOW TO USE
1. Identifying the "Magnet" (The Void)
When price moves aggressively, it leaves a "hole" in the auction.
Bullish Voids (Green): These represent areas where price surged so fast that buyers may still have unfilled orders sitting below. These act as Magnets for pullbacks.
Bearish Voids (Red): These represent areas where price plummeted, leaving a vacuum of selling pressure. These act as Magnets for relief rallies.
2. Trading the "Repair" Process
The Engine tracks how the market "repairs" these holes:
Partial Fill: If price enters a box but doesn't cross it, the "Magnet" is still active.
Full Repair: When a box is "sealed" (stops extending right), it indicates the imbalance is gone. If price "Seals" a green box and then bounces, it confirms the zone as Valid Institutional Support.
3. Confluence with the Trend
Continuation: In a strong uptrend, look for price to drop into a Green Bullish Void and find support. This is often the "Golden Entry" for trend followers.
Reversal Confirmation: If price ignores a Red Bearish Void and blasts right through it (sealing it instantly), it signals a massive shift in market regime and extreme bullish conviction.
USER SETTINGS
Lookback Period: How far back the engine searches for un-repaired gaps.
Min Gap Size (ATR %): Increase this to see only the "Major" institutional gaps; decrease it for a more granular intraday look.
Visual Styles: Fully customizable colors and transparency to match any chart theme (Dark/Light).
NOTES & DISCLAIMER
This script is a visualization of historical price imbalances and is intended for educational purposes only. It does not provide trade signals, entry/exit points, or financial advice. All trading involves risk.
Structure Lite - Automatic Major Trend LinesStructure Lite – Pivot-Based Market Structure Visualization
OVERVIEW
Structure Lite is an open-source charting tool designed to assist traders in visualizing higher-timeframe market structure. The script identifies major swing points using high-period pivot analysis and projects structural support and resistance lines directly on the chart. Its purpose is to highlight persistent market structure while minimizing visual noise.
CORE CONCEPTS & CALCULATIONS
Pivot Identification
The script uses Pine Script’s built-in ta.pivothigh() and ta.pivotlow() functions to identify confirmed swing highs and lows. A pivot is only validated after a user-defined number of bars (Major Pivot Lookback) have formed on both sides of the price extreme, ensuring that only structurally significant pivots are selected.
Structural Pairing
Each structural line is created only after two consecutive pivots of the same type are confirmed (high-to-high or low-to-low). The script stores the price and bar index of these pivots and uses them as fixed anchor points.
Line Projection
Once a valid pivot pair is formed, the script draws a line between the two points using line.new() and extends it forward using extend.right. These lines represent projected structural boundaries rather than trade signals.
Object Management
To maintain chart clarity and performance, the script manages all drawn objects through a line array. A FIFO (First-In, First-Out) method is applied so that only the three most recent structural lines remain visible. Older lines are automatically deleted as new ones are created.
DESIGN PHILOSOPHY & ORIGINALITY
While many indicators plot frequent swing points or short-term pivots, Structure Lite focuses on structural persistence. By filtering for higher-period pivots and limiting the number of displayed projections, the script emphasizes dominant market structure rather than short-term fluctuations. This approach is intended to support discretionary analysis, not replace it.
HOW TO USE
Major Pivot Lookback
Increase the value to focus on higher-timeframe structure (e.g., swing or position trading).
Decrease the value to visualize intraday structural levels.
Visual Encoding
Green lines represent projected structural support
Red lines represent projected structural resistance
Visibility Control
A boolean input allows all structure lines to be hidden instantly to restore a clean price chart.
LIMITATIONS & DISCLAIMER
This script is a visualization tool only. It does not generate trade signals, entry or exit points, alerts, or directional forecasts. All plotted levels are derived from historical price action and may change as new pivots form. The script is provided for educational and analytical purposes and should be used in conjunction with other forms of market analysis
