# TLADe Quantum Field Ladder - ES/SPX/SPYìA proprietary visualization of market structure through the lens of field dynamics.
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WHAT THIS INDICATOR DOES
This indicator introduces a fundamentally different approach to GEX visualization.
Rather than showing discrete price levels, the Quantum Field Ladder reveals the continuous force fields that shape price movement — mapping where price is naturally attracted (MAGNETS) and where it faces resistance (WALLS).
What you see:
• Gradient Fields — smooth visual zones showing influence decay from center
• MAGNETS (Cyan) — attractor zones where price tends to gravitate
• WALLS (Magenta) — repulsor zones where price faces friction
• Field Width — the effective range of each level's influence
• Intensity Gradient — stronger fields appear more saturated
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THE QUANTUM APPROACH
Traditional GEX analysis treats levels as binary: price either reaches them or doesn't.
The Quantum Field model recognizes that gamma exposure creates force gradients — continuous zones of influence that extend beyond exact strike prices. Each level acts like a gravitational body, with influence that fades with distance.
This model is based on proprietary research into how dealer hedging flows create measurable "field effects" in price action:
▸ MAGNETS (Attractors)
Zones where balanced positioning creates price stability.
Price tends to drift toward these levels during low-volatility regimes.
▸ WALLS (Repulsors)
Zones of concentrated one-sided exposure.
Price experiences friction and often reverses at these boundaries.
The gradient visualization shows where influence is strongest (center) and where it fades (edges) — giving you a more intuitive read on market structure.
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KEY FEATURES
▸ Ticker Switcher
Select ES, SPX, or SPY directly in settings.
Data converts automatically. One script, three instruments.
▸ Max Levels Control
Display 5 to 30 quantum fields based on your preference.
Reduce clutter or see the full picture.
▸ Gradient Visualization
Smooth linefill gradients show field intensity decay.
Adjust smoothness and scale to match your style.
▸ Rich Tooltips
Hover for details: Lagrange boundaries (L↑/L↓), field width, GEX values.
▸ Color Customization
Adjust Magnet and Wall colors, transparency levels.
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HOW TO READ THE FIELDS
Each field represents a zone of market influence:
• Cyan/Teal gradient = MAGNET (price attractor)
• Pink/Magenta gradient = WALL (price repulsor)
• Denser gradient = stronger influence
• Wider field = larger zone of effect
• Center line = exact strike level
The key insight: price doesn't just "touch" levels — it enters fields of influence.
Watch how price behaves as it approaches field boundaries, not just centers.
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PRO TIP: FIELD CONFLUENCE
The most significant zones occur when multiple fields overlap:
• Magnet + Magnet = Strong attractor (price magnet)
• Wall + Wall = Hard boundary (likely reversal)
• Magnet + Wall = Transition zone (watch for breakout or rejection)
Combine with the TLADe GEX Dashboard for complete analysis:
Fields show WHERE influence exists, traditional levels show exact strikes.
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ABOUT THE DATA
The fields shown use a static snapshot for demonstration.
For current session data with live Quantum Field calculations, export fresh scripts from the TLADe terminal at tradelikeadealer.com
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RELATED
► TLADe GEX Dashboard — Traditional GEX levels with histogram profilehttps://it.tradingview.com/script/pl7cjJzJ/
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DISCLAIMER
This tool is for informational and educational purposes only.
It does not constitute financial advice. Trading involves significant risk.
The Quantum Field model is a proprietary visualization framework — past structure does not guarantee future behavior.
Structure
Institutional Volume Trend [Structure Filter]Overview
The Institutional Volume Trend is a hybrid trend-following system designed to solve the single biggest problem in technical analysis: False Breakouts (Fakeouts).
Most trend indicators are purely price-reactive. If price moves up, they signal "Buy"—even if that move is driven by low liquidity and retail FOMO. This often leads to traders getting trapped in "chop" or weak reversals.
This script introduces a Volume-Verification Layer to market structure. It operates on a simple institutional premise: "Price advertises, Volume validates." A break of structure (BOS) is only considered a valid signal if it is backed by significant institutional volume.
Special thanks to the legendary Kıvanç Özbilgiç , whose extensive work on Supertrend and AlphaTrend concepts has paved the way for modern volatility-based trend systems. This script builds upon those foundational principles by adding a volume-weighted regime filter.
How It Works
This indicator combines two distinct engines to filter market noise:
Structure Engine (ATR Volatility):
It uses an ATR-based trailing stop mechanism (inspired by the classic Supertrend logic) to detect the underlying market structure. This creates the "Floor" (Support) and "Ceiling" (Resistance) of the current trend.
Institutional Volume Filter:
It calculates a relative volume average. If a trend change occurs without volume exceeding the average by a user-defined threshold (default 1.2x), the signal is flagged as Weak .
📖 Visual Guide: How to Interpret the Signs
This indicator communicates through Color and Labels . Here is exactly what each sign means:
1. The Ribbon Colors
🟢 Bright Green Ribbon: CONFIRMED BULLISH.
Meaning: The trend is Up AND Volume is supporting the move.
Action: Look for long entries or hold existing long positions.
🔴 Bright Red Ribbon: CONFIRMED BEARISH.
Meaning: The trend is Down AND Selling pressure is high.
Action: Look for short entries or hold existing short positions.
⚪ Gray / Dimmed Ribbon: WEAK / CHOP ZONE.
Meaning: The price has broken structure, BUT there is no volume to back it up. The market is undecided or resting.
Action: CAUTION. Do not open new trades. Wait for the color to turn Bright Green or Red.
2. The Labels
🏷️ "BOS + Vol" (Break of Structure + Volume):
Meaning: A high-probability signal. Price broke the trend line with a burst of volume.
Interpretation: This is your primary entry trigger.
🏷️ "Low Vol" (Small 'x' or Label):
Meaning: Price crossed the line, but volume was weak.
Interpretation: WARNING. This is likely a fakeout or a liquidity grab. Be very careful trusting this move.
3. The Trailing Line
The solid line running along the price is your Dynamic Stop Loss .
Bullish: As long as candles close above or touch (you choose) this line, the uptrend is valid.
Bearish: As long as candles close below or touch (you choose) this line, the downtrend is valid.
How to Use This Indicator
For Trend Following (Swing Trading)
Wait for the Flip: Look for the ribbon to flip from Red to Green (or vice versa).
Check the Validation: Ensure the ribbon is Bright Green/Red and not Gray. A "BOS + Vol" label is your confirmation.
Set the Stop: Use the plotted Trailing Structure Line as your dynamic Stop Loss.
For Scalping (1m - 15m Timeframes)
Filter the Noise: The most powerful feature for scalpers is the Gray Zone . If the market enters a low-volume drift (lunch hour or pre-market), the ribbon turns Gray. Avoid taking new entries during these periods to prevent "death by a thousand cuts."
Settings & Customization
Structure Lookback: Controls the sensitivity of the trend line. Higher numbers = fewer signals, longer trends.
Filter Low Volume (Chop): Toggle this ON to see the Gray zones. Toggle OFF if you want a standard trend view.
Volume Threshold: The multiplier required to validate a move.
1.2 (Default): Balanced.
1.5+ : Strict (Only catches massive breakouts).
1.0 : Loose (More signals, more noise).
Who Should Use This?
Breakout Traders: To distinguish between a true breakout and a "liquidity sweep."
Crypto Traders: To filter out the low-volume weekend chop.
Beginners: To learn the discipline of waiting for volume confirmation before entering a trade.
Open Source & Transparency
This script is open source to foster learning. The core logic utilizes a modified ATR trailing stop calculation combined with a boolean volume filter (volume > sma(volume) * mult). Traders are encouraged to inspect the code to understand exactly how their signals are generated.
⚠️ Disclaimer
Trading involves a high risk of losing money. This tool is designed for educational and analytical purposes only and does not constitute financial advice.
No indicator is 100% accurate. The "Volume Filter" reduces false signals but cannot eliminate them entirely.
Lag Warning: Like all trend-following tools, this indicator is reactive. It will perform best in trending markets and may produce losses in tight, sideways ranges (though the Gray filter helps mitigate this).
Risk Management: Always use a stop loss and proper position sizing. Never trade solely based on the color of a ribbon.
3D Order Blocks [Bellsz]This indicator detects Order Blocks using market structure (BOS) and anchors zones to the most-touched price (POC).
It overlays Volume Delta to visualize bullish vs bearish participation inside each zone, with optional 3D depth rendering for enhanced spatial clarity.
Features:
• POC-anchored Order Block detection
• Volume Delta imbalance visualization
• Bullish & Bearish OB zones
• Retest detection & alerts
• Optional 3D depth visualization
• Smart nearest-zone filtering
Scalper Pullback Trainer OS GO WAIT NO GradesOverview
Scalper Pullback Trainer OS (1–5m) | GO/WAIT/NO + Grades is a short-term trend-following training indicator designed to help traders identify pullbacks and re-acceleration entries with structure and discipline.
Optimized for 1–5 minute charts, it filters out low-quality market conditions such as compression, thin volume, excessive wicks, and mid-range price action.
Market states visualized: GO / WAIT / NO with grade labels
This indicator is provided for educational and training purposes only.
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Core Concept: GO / WAIT / NO
The market is continuously classified into one of three states:
GO – Conditions are aligned. Execution is allowed.
WAIT – Structure is forming. Patience is required.
NO – Expectancy is low. Do not trade.
State flow: NO → WAIT → GO (structure-based progression)
This framework reinforces selective execution and prevents overtrading.
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Strategy Objectives
Enforce structural discipline by separating tradable and non-tradable conditions.
Train traders to wait for pullback completion and re-acceleration.
Improve execution quality through contextual grading (A / B / C).
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Key Features
Higher-Timeframe Trend Filter using EMA and ATR deadzone logic.
Pullback depth measurement relative to impulse range (0.15–0.65).
STRUCT_BREAK re-acceleration detection (N = 2).
Volume context filtering to reduce false breakouts.
Internal grading system (A / B / C).
Ideal pullback structure and re-acceleration break
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Trading Logic (Simplified)
Long Bias:
> HTF bullish → Valid pullback → Structure break → GO
Short Bias:
> HTF bearish → Valid pullback → Structure break → GO
Example of GO signal after structure break
The indicator focuses on entry context and does not manage exits.
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GO / WAIT / NO Interpretation
NO
Compression, thin volume, HTF neutral, excessive wicks.
Observation only.
WAIT
Pullback is valid, but re-acceleration has not occurred.
Preparation phase.
GO
Pullback is complete and structure breaks with momentum.
One clean execution only.
Trap example: shallow break and failed continuation
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Grade System
Grade A – Strong structure, clean pullback, momentum aligned.
Grade B – Acceptable but less optimal conditions.
Grade C – Marginal quality, shown for learning purposes.
Grade labels displayed in trend direction
Optional Training Mode allows GO signals only when Grade A is present.
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Visual Elements
GO markers plotted above/below bars.
TRAP markers highlight failed continuation.
Grade labels appear with directional arrows.
NO zones are shaded to block low-expectancy areas.
Top-right table displays STATE, DIRECTION, GRADE, and REASON.
Complete interface overview
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Risk & Usage Notes
This indicator does not define stop-loss or take-profit levels.
Risk management is entirely the responsibility of the user.
Risk 1% or less per trade.
Trade during active sessions only.
One execution per GO state.
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Summary
Scalper Pullback Trainer OS (1–5m) | GO/WAIT/NO + Grades is a context-first execution training tool.
It teaches when not to trade, how to wait correctly, and how to recognize high-quality re-acceleration entries in fast markets.
Past performance does not guarantee future results.
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter
This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions.
How It Works
The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions.
1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL).
The logic begins only when price "sweeps" (breaks) one of these key levels.
State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse.
2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS).
It tracks dynamic Swing Highs and Swing Lows.
A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High).
3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm.
The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10).
The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors).
The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked.
Key Features
🎯 Primary Reversal Signals (Circles)
Green Circle: Price swept PDL + Bullish MSS + AI Confirmation.
Red Circle: Price swept PDH + Bearish MSS + AI Confirmation.
♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg.
It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement).
If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted.
Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades.
⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions.
Default AM Session: 08:30 – 10:00 (New York Time)
Default PM Session: 14:00 – 15:00 (New York Time)
Fully customizable in settings.
Settings Guide
Key Levels: Toggle PDH/PDL lines and customize colors.
Kill Zones: Enable/Disable time filtering and highlight background colors.
AI Settings:
K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5).
Training Window: How far back the AI looks for patterns (Default: 1000 bars).
Visuals: Turn on/off the Golden Zone fib clouds or text labels.
Disclaimer
This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
ICC Market Structure and Phase TrackingICC Market Structure and Phase Tracker
ICC Market Structure and Phase Tracker is a visual market-structure indicator based on the Indication → Correction → Continuation (ICC) framework — a structured approach to analyzing break-of-structure, pullback, consolidation, and trend-continuation phases.
The script focuses on identifying structural phases, key levels, and phase transitions across multiple timeframes, providing clear contextual market structure information.
What the Indicator Identifies
The indicator tracks complete market-structure cycles by classifying price action into the following phases:
Indication — initial structural break or trend initiation
Correction — pullback, retracement, or consolidation following the break
Continuation — expansion or impulse in the direction of structure
Neutral / No Setup — periods without valid structural conditions Each phase is visually distinguished on the chart for fast, at-a-glance structural awareness.
CORE FEATURES
Market Structure & Phase Tracking
Automatic detection of structural breaks, corrections, consolidations, and continuations
Background shading to clearly distinguish phases
Invalidation logic to identify failed or broken structures Multi-Timeframe Context
Optional higher-timeframe (HTF) structure displayed on lower-timeframe charts
HTF indication levels shown as reference lines
HTF phase and context displayed in the information table Structure Event Visualization
Visual markers for continuation and optional reversal structures
Clear visual separation between trend-aligned and counter-structure events
Reversal structure visualization can be enabled or disabled in settings Volatility-Aware Structure Zones
Structure-based support and resistance zones
Optional ATR-based zone sizing that adapts to market volatility
Configurable historical zones (0–3) with visual hierarchy Information Table
Displays current ICC phase, indication level, consolidation status, and HTF context
Designed for quick reference without relying solely on chart visuals Alerts
Alerts trigger only when corresponding visual conditions appear on the chart
Includes alerts for ICC phases, continuation structures, and optional reversals Configuration Overview
Auto Profiles for different trading contexts (Scalping, Intraday, Swing, Entry)
Manual controls for swing length, consolidation behavior, and volatility settings
Higher-timeframe controls for filtering and visual alignment
Reversal toggle to enable or disable counter-structure visualization Default settings are intended as reasonable starting points and can be adjusted for different instruments and timeframes.
Intended Use
This script is designed as a market-structure and contextual analysis tool.
Users are expected to apply their own analysis, validation, and risk management when interpreting the displayed structure.
Feedback
Bug reports, edge cases, and constructive feedback are welcome.
The project is actively refined with a focus on structure clarity, phase accuracy, and multi-timeframe usability.
QuantRx Fibonacci RR ZonesQuantRx Fibonacci RR Zones is a non-repainting, pivot-confirmed indicator that highlights Fibonacci retracement zones (0.5–0.618) following a completed impulse move. It is intended to support chart analysis and trade planning, and it does not predict future price or provide trading instructions.
What it shows
Impulse Leg Detection
Detects the most recent completed impulse leg using confirmed pivot highs/lows.
Because pivots require confirmation, elements may appear with a delay equal to the pivot length (this is intentional and prevents repainting).
Fibonacci Retracement Zone
Plots the 0.5 and 0.618 retracement levels as horizontal guide lines.
Line colors can be customized in settings.
Signal Logic
A signal can occur only when:
Price trades into the 0.5–0.618 zone, and
Price closes back in the direction of the prior impulse.
Long signals follow bullish impulses; short signals follow bearish impulses.
One signal per impulse leg.
Risk/Reward Guides
On a signal, the script plots 1R and 2R target guides using an internal risk reference.
These levels are visual reference guides only.
How to use (workflow)
Wait for a completed impulse leg (pivot-confirmed).
Monitor the 0.5–0.618 retracement zone.
If a signal prints, use it as a confirmation marker within your own plan.
Define entries, exits, and risk management independently.
Notes
Non-repainting (pivot-confirmed).
Works across markets/timeframes; results vary with volatility and structure.
Educational/analytical tool only.
Disclaimer: This script is provided for educational purposes only and is not financial advice. Trading involves risk. Always test and validate any tool before using it in live markets.
SMC Velocity Scalper (15 M)Concept & Methodology : The SMC Precision Scalper v6 is a specialized adaptation of the classic Smart Money Concepts (SMC) framework, re-engineered specifically for the fast-paced environment of 15-minute scalping. While traditional SMC indicators often lag by focusing on macro-trends, this script prioritizes Internal Market Structure and recent order flow to provide timely entries for intraday traders.
It is built on the latest Pine Script v6 engine, ensuring strict type safety, faster execution, and cleaner visuals.
Key Features
Rapid Structure Detection: Unlike standard Swing Structure (which requires 50+ bars), this script utilizes a sensitive Internal Structure algorithm (customizable length) to detect minor Breaks of Structure (BOS) and Changes of Character (CHoCH) in real-time.
15m Optimized Order Blocks: Filters out old, irrelevant institutional footprints. It automatically identifies and draws only the most recent Order Blocks (OB) that are relevant to current price action.
Fair Value Gaps (FVG): Detects imbalances where price often returns to "fill" orders before continuing the trend.
Liquidity Sweeps: Automatically highlights Equal Highs (EQH) and Equal Lows (EQL), which often act as magnets for liquidity grabs.
Premium/Discount Zones: Draws dynamic Fibonacci-based zones to help you avoid buying in a "Premium" (expensive) area or selling in a "Discount" (cheap) area.
How to Use This Indicator This tool is designed to be a complete decision-support system for scalpers.
Determine Bias: Look at the Internal Structure lines (dashed). A green "BOS" indicates a bullish continuation; a red "BOS" indicates bearish.
Wait for the Pullback: Do not chase the breakout. Wait for price to retrace into a colored Order Block box or a Fair Value Gap.
Confirm Entry: Watch for a CHoCH (Change of Character) signal within your zone. For example, if price hits a bullish Order Block, wait for a green internal CHoCH label to confirm buyers are stepping in.
Target: Aim for the weak structural points, marked as "Weak High" or "Weak Low" by the script.
Settings & Customization
Swing Length (Scalp): Controls the sensitivity of the major trend. Default is 10 for 15m charts.
Internal Structure Length: Controls the speed of minor structure signals. Lower this to 3 or 4 for hyper-aggressive scalping.
Order Blocks: You can toggle Swing vs. Internal OBs and adjust how many are displayed to keep your chart clean.
Risk Disclaimer
Important Risk Factors & Limitations
Repainting on Historical Data: This script uses request.security with lookahead to calculate Multi-Timeframe (MTF) Fair Value Gaps. While this provides accurate levels for closed candles, historical backtesting may visually "repaint" signals that were not valid in real-time. Always wait for a candle close before confirming a signal.
Lag is Natural: Even with optimized settings, structure-based indicators inherently lag because a High/Low is only confirmed after price moves away from it. This tool identifies structure breaks, not prediction.
Not Financial Advice: This indicator is a technical analysis tool, not a trading bot. It visualizes market data to aid decision-making. Trading cryptocurrency, forex, or stocks carries a high level of risk, and you can lose more than your initial investment.
False Signals: In ranging (sideways) markets, structure indicators can produce frequent "flip-flop" signals (BOS followed immediately by opposite CHoCH). Use discretion during low-volume hours.
Quant Labs Edge Filter (Community Edition)A market-structure filter designed to identify when no real edge exists.
Edge Filter evaluates price location relative to structure to define market posture — long bias, short bias, or stand aside. It does not generate trade signals and is intentionally designed to reduce overtrading.
Clear Posture States
Near Highs — Short Bias
Near Lows — Long Bias
No Edge — Stand Aside
When edge is absent, patience is the strategy.
Why It Stands Out
Most indicators encourage action.
Edge Filter encourages restraint.
Its purpose is to protect capital, attention, and decision quality by filtering out low-quality environments.
Community Edition
This version publishes the core logic openly for transparency and education.
Private access versions may exist for traders seeking continuity and stewardship.
Bottom Line
Trade less.
Trade better.
Wait for edge.
— QuantLabs
Trading Range Detector - [GonzaCam]Strict Market Structure
This indicator provides a highly disciplined approach to identifying Market Structure, Swing Points, and Trading Ranges. Unlike standard fractal indicators that simply look for high/low wicks, this script enforces a "Strict" set of rules combining Fractal Geometry, Candle Color, and Close Prices to filter out noise and identify high-probability structure levels.
It is designed for traders who need precise structural mapping (BOS) and want to avoid the "fake-outs" common with standard swing indicators.
Key Features
Strict Swing Detection : A 3-candle pattern is only valid if it meets three specific criteria:
Wick Fractal: The middle candle has the highest high (for Swing Highs) or lowest low (for Swing Lows).
Close Price Fractal: The Body (Close) of the middle candle must also be the highest/lowest of the pattern, preventing weak "wick-only" pivots.
Color Logic: Enforces specific color flows (e.g., Green → Red for tops) to ensure momentum has actually shifted.
Smart Range Tracking:
Active Range: Shows the current trading range (Top and Bottom) with thick, solid lines.
Historical Structure: Automatically archives broken levels as thin, dashed lines, creating a clean history of market structure.
"True Peak" Logic: When a Break of Structure (BOS) occurs, the script enters a "Seeking" phase. It intelligently tracks the Highest High (in a bearish break) or Lowest Low (in a bullish break) to ensure the new range is drawn from the true pivot, not just the first confirmed swing.
How It Works
1. Swing High Definition
A valid Swing High is confirmed when a 3-candle cluster appears with:
Middle Candle: Green Body.
Right Candle: Red Body.
Geometry: Middle Wick High > Left & Right Wicks AND Middle Close > Left & Right Closes.
Confirmation: Price must subsequently close below the low of the middle candle.
2. Swing Low Definition
A valid Swing Low is confirmed when a 3-candle cluster appears with:
Middle Candle: Red Body.
Right Candle: Green Body.
Geometry: Middle Wick Low < Left & Right Wicks AND Middle Close < Left & Right Closes.
Confirmation: Price must subsequently close above the high of the middle candle.
3. Range & BOS Logic
Break of Structure (BOS): Triggered when a candle closes outside the current Range Top or Bottom.
Seeking Phase: After a BOS, the script waits for a new opposing swing to form.
Example: If the market breaks UP (Bullish BOS), the script searches for the next confirmed Swing High.
Optimization: While seeking, it continuously updates to the Highest High reached, ensuring the Range Top is set at the absolute peak of the move.
Settings & Customization
Current Range Style: Customize the Color, Width, and Style (Solid/Dotted) of the active range lines.
Historical Swings Style: Customize the appearance of past structure levels to distinguish them from active price action.
Disclaimer.
This tool is for informational purposes only and does not constitute financial advice. Trading involves risk. Always use proper risk management
Swing Structure Bands [ChartPrime]⯁ OVERVIEW
Swing Structure Bands is a structure-based trend and reaction indicator that builds adaptive price bands directly from swing highs and swing lows.
Instead of using fixed-length moving averages, the bands dynamically adjust their length based on how long price has been forming higher highs or lower lows, allowing the indicator to naturally align with real market structure.
This makes the tool especially effective for identifying swing-based support and resistance, trend continuation zones, and exhaustion reactions.
⯁ CORE CONCEPT
The indicator continuously tracks:
The most recent swing high and swing low over a configurable swing window.
How long price has been developing since each swing point.
Dynamic moving averages whose length grows with the swing itself.
As long as price respects the current swing direction, the bands extend and adapt.
When structure breaks, the system resets and starts forming new swing-based bands.
⯁ SWING DETECTION LOGIC
A Swing High is detected when price forms a local maximum relative to the swing lookback.
A Swing Low is detected when price forms a local minimum relative to the swing lookback.
Direction flips when price transitions from forming highs to forming lows, or vice versa.
Each confirmed swing is marked on the chart, giving clear structural context.
⯁ ADAPTIVE BAND CONSTRUCTION
Upper bands are derived from swing highs.
Lower bands are derived from swing lows.
Band length dynamically increases as the swing develops.
Multiple MA types can be used (SMA, EMA, SMMA/RMA, WMA, VWMA).
ATR is applied as an offset to create upper and lower envelopes around each band, forming a volatility-aware structure channel.
⯁ VOLATILITY FILTERING
If the band moves too aggressively relative to ATR, it is temporarily disabled.
This prevents unstable or noisy bands during sudden expansions.
Bands only remain active when price structure is stable.
This logic keeps the indicator focused on meaningful swings rather than short-term spikes.
⯁ REACTION & SIGNAL LOGIC
Sell signals appear when price crosses down from the upper swing band after sufficient stabilization.
Buy signals appear when price crosses up from the lower swing band after sufficient stabilization.
Cooldown logic prevents signal clustering.
Signals are designed as structure reactions , not momentum breakouts.
⯁ VISUAL STRUCTURE CLARITY
Separate bullish and bearish bands with customizable colors.
Optional band envelopes for visual depth.
Clear swing labels marking structural turning points.
Diamond markers highlight reaction zones.
The visualization emphasizes where price reacts to structure rather than where it accelerates.
⯁ HOW TO USE
Use upper bands as dynamic resistance during bearish or corrective phases.
Use lower bands as dynamic support during bullish phases.
Combine band reactions with higher-timeframe trend direction.
Look for confirmations near bands rather than mid-range entries.
The indicator works best as a structure framework rather than a standalone signal generator.
⯁ IDEAL MARKET CONDITIONS
Trending markets with clear swing development.
Markets transitioning from impulse to correction.
Crypto, forex, indices, and liquid stocks.
⯁ CONCLUSION
Swing Structure Bands offers a structurally grounded alternative to traditional moving average channels.
By anchoring bands to real swing behavior and adapting dynamically over time, it provides traders with a clearer view of where price is reacting, pausing, or potentially reversing within the broader market structure.
Advanced Market Structure [Rogman]Rogman's Advanced Market Structure Indicator
The Ultimate All-in-One Market Structure Analysis Tool for TradingView
Take your technical analysis to the next level with a comprehensive, professional-grade tool designed for traders who demand precision and clarity in their charts.
🎯 Who Is This For?
ICT/SMC Traders seeking liquidity zones and market structure analysis
Day Traders monitoring session-based price action and kill zones
Swing Traders identifying key higher timeframe levels
Price Action Traders analyzing structure breaks and trend changes
Any Serious Trader wanting a clean, comprehensive market structure overlay
✨ Key Features
📊 Market Sessions Visualization
Track the three major trading sessions with our unique bracket-style display:
Asia, London, and New York sessions are clearly marked
Sessions display as SESSION ════════════ below price action
Smart vertical stacking prevents overlapping when sessions have similar lows
Fully customizable session times for any timezone
Perfect for identifying session highs/lows and optimal kill zone timing
📈 Higher Timeframe (HTF) Levels
Never miss a key level again:
Display Daily and Weekly Open, High, and Low levels
Instant visual reference for HTF support and resistance
Separate color controls for lines and labels
Choose from Solid, Dashed, or Dotted line styles
Essential for determining HTF bias and key decision points
🔄 Automatic Swing Detection
Let the indicator do the heavy lifting:
Auto-detection of swing highs (▼) and swing lows (▲)
Configurable lookback period for sensitivity adjustment
Optional horizontal level lines extending from swing points
Customizable colors, widths, and line styles
Identify potential reversal points and structure levels instantly
💧 Liquidity Zone Mapping
See where the money is hiding:
Automatic identification of buy-side liquidity (above swing highs)
Automatic identification of sell-side liquidity (below swing lows)
Visual zones show where stop losses are clustered
Real-time tracking when liquidity gets swept
Swept zones change color — know when liquidity has been taken
📉 Multi-Method Trend Detection
Three powerful methods to confirm trend direction:
Swing Structure — Based on higher highs/lows or lower highs/lows
EMA — Trend based on price position relative to EMA
Supertrend — Uses the popular Supertrend indicator
Features include:
Optional background coloring for at-a-glance trend identification
Real-time trend status label (UPTREND/DOWNTREND/NEUTRAL)
Customizable colors and transparency
🏷️ HH/HL/LH/LL Labels
Automatic market structure labeling:
HH (Higher High) — Bullish continuation signal
HL (Higher Low) — Bullish continuation signal
LH (Lower High) — Bearish continuation signal
LL (Lower Low) — Bearish continuation signal
Color-coded for instant visual recognition
📋 Information Dashboard
All critical data at a glance:
Current ticker symbol
Trend direction and status
Daily and Weekly bias
Last swing high and low prices
Active liquidity zone count
Positionable in any corner of your chart
🔔 Built-in Alerts
Never miss a key event:
Trend change alerts (Bullish/Bearish)
Swing high/low formation alerts
Set up notifications for critical market structure changes
🎨 Fully Customizable
Every feature can be:
Toggled on/off individually via the Feature Toggles menu
Color customized to match your chart theme
Size adjusted for optimal visibility
Fine-tuned with sensitivity parameters
Organized settings groups make configuration intuitive and fast.
🚀 Why Choose This Indicator?
Feature: Benefit: All-in-One Solution. Replace multiple indicators with one comprehensive tool. Clean Design and Thoughtful visual hierarchy keep charts readable. Smart Overlap Prevention. Session bars automatically stack to avoid visual clutter. Real-Time Updates: All elements update dynamically as the price moves. Professional Quality-Built with best practices in Pine Script v6. Extensive Documentation, clear code comments, and an organized structure
📖 How to Use
Add the indicator to your TradingView chart
Enable/disable features using the Feature Toggles menu
Customize colors and settings to match your preferences
Adjust session times for your timezone
Set up alerts for trend changes and swing formations
Pro Tips:
Use session times to identify optimal entry windows during kill zones
Watch for price sweeping liquidity zones before looking for reversals
Combine HTF bias with lower timeframe entries for higher probability trades
Use swing levels as potential support/resistance for entries and targets
Monitor the dashboard for a quick market assessment before trading
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and consider your financial situation before making trading decisions.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry.
The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts.
🧠 Strategy Logic
The system makes decisions based on a strict 4-step hierarchy:
Higher Timeframe (HTF) Bias:
Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow.
Structure & BOS (Break of Structure):
Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits.
Fibonacci Zone Pullback:
It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio.
Validation & Trigger:
Uses an ATR expansion check to filter out low-volatility periods.
Requires candle confirmation and alignment with fast EMAs before pulling the trigger.
🛡️ Risk Management
The system incorporates advanced position management using a split execution model (50/50):
Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection).
TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even.
TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves.
Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit.
⚙️ Settings & Features
The script is highly customizable for different assets (Crypto, Forex, Indices):
Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market).
Auto Trendlines: Automatically draws relevant trendlines for visual support.
Quality Filters: Options to toggle the EMA 200 filter and breakout buffers.
⚠️ Disclaimer
This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
Gap Tracker Indicator v5Gap Tracker Indicator - Description
Purpose: The Gap Tracker identifies price gaps on charts and visualizes unfilled gap zones that may act as future support/resistance levels.
What it shows:
Gap zones as colored rectangles:
Red boxes = bearish gaps (price gapped down, leaving unfilled space above)
Green boxes = bullish gaps (price gapped up, leaving unfilled space below)
How gaps form:
A gap occurs when the opening price of one candle is significantly different from the closing price of the previous candle
Common after weekends, holidays, or major news events when markets are closed
Gaps create "empty" price zones with no trading activity
Trading significance:
Many traders believe gaps tend to "fill" eventually (price returns to the gap zone)
Unfilled gaps can act as magnetic levels - price often revisits them
Gap zones may provide support (bullish gaps) or resistance (bearish gaps)
On your chart:
Multiple red boxes show unfilled bearish gaps where price gapped down
Green boxes show unfilled bullish gaps where price gapped up
The indicator tracks these zones until price fills them completely
Right side shows "GAP TRACKER" panel with active gaps: Aktywne (2), Zamknięte (9), Zakres 7d (168)
Key insight: The concentration of unfilled gaps suggests potential magnetic zones where price may return for "gap fill" trades. Traders often use these levels for entries, exits, or stop placement.
Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Trade Decision MatrixTrade Decision Matrix (TDM)
Trade Decision Matrix (TDM) is a professional-grade, multi-phase market intelligence indicator designed to assist traders in understanding market structure, regime behavior, capital confidence, and execution readiness using a systematic, probabilistic framework.
This indicator does not generate trade signals. Instead, it provides a structured decision matrix similar to institutional trading desks, combining regime analytics, entropy confidence, Bayesian reliability, capital allocation logic, and scenario interpretation.
🔹 Core Architecture
TDM is built using a nine-phase institutional decision pipeline:
Phase 1 — Market Context
Spot–future basis, volatility normalization, and structural slope detection.
Phase 2 — Regime Engine
Probabilistic classification of Trend, Breakout, Range, or Mean Reversion environments.
Phase 3 — Orthogonal Model Cores
Independent statistical, trend, breakout, and mean-reversion cores.
Phase 4 — Bayesian Reliability Engine
Adaptive reliability scoring for each core using Bayesian reinforcement.
Phase 5 — Capital Engine
Capital confidence and capital mode based on opportunity quality, regime clarity, entropy confidence, and risk filters.
Phase 6 — Decision Matrix
Bias, participation level, and trade quality grading.
Phase 7 — Scenario Engine
Contextual scenario interpretation such as Trend Expansion, Breakout Failure, Range Compression, etc.
Phase 8 — Execution Gate
Execution readiness filter based on capital and model alignment.
Phase 9 — Reversal Engine
Probabilistic reversal risk estimation using multi-factor logic.
🔹 Regime Entropy Confidence
TDM uses Shannon entropy to measure regime uncertainty and converts it into a confidence score.
Lower entropy = higher regime confidence.
Higher entropy = unstable or transitional market state.
This prevents over-confidence in noisy conditions.
🔹 Institutional Commentary Engine
A professional commentary layer interprets all internal engines and outputs institutional-style guidance such as:
• Institutional Alignment
• Capital Protection Mode
• Regime Uncertainty
• Momentum Continuation
• Structural Breakout
• Volatility Coiling
• Reversal Risk Elevated
This commentary is designed for situational awareness, not signal generation.
🔹 Dashboard
The dark-theme dashboard provides a compact institutional decision panel:
• Regime
• Entropy Confidence
• Scenario
• Bias
• Strength
• Capital Confidence
• Capital Mode
• Trade Quality
• Execution State
• Commentary
• Reversal Risk
All values are color-coded with heat shading for instant visual interpretation.
🔹 How To Use
TDM is best used as a decision support layer alongside your own trading strategy.
Typical workflow:
Identify regime and entropy confidence.
Observe capital confidence and capital mode.
Check scenario and bias alignment.
Confirm execution readiness.
Monitor reversal risk before entering or holding positions.
This tool is ideal for:
• Intraday traders
• Swing traders
• Options traders
• Index traders
• Systematic discretionary traders
🔹 Important Notes
• This indicator does NOT produce buy/sell signals.
• It is a decision intelligence framework.
• It should not be used as a standalone trading system.
• Always apply personal risk management.
🔹 Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice or investment recommendations.Trading involves risk. Users are responsible for their own trading decisions.
SA_ORB_ONR_CLOUD_vwapBandsSIGNAL ARCHITECT™ — ORB / ONR Cloud with VWAP Bands
Optimized for the 15-Minute Timeframe
Overview
The Signal Architect™ ORB / ONR Cloud is a session-structure and probability framework designed to help traders understand where price is statistically compressed, transitioning, or escaping value during the regular trading session.
On the 15-minute chart, this study excels at identifying:
High-probability consolidation zones
Early session directional intent
Fade vs continuation environments
Context for VWAP-based mean reversion or trend extension
Rather than predicting price, the indicator classifies market behavior using time-anchored ranges and volume-weighted statistics.
Core Components (15-Minute Context)
1️⃣ Overnight Range (ONR)
The Overnight Range captures price extremes formed before the regular session opens.
On the 15-minute timeframe, ONR acts as:
A higher-timeframe reference level
A source of institutional liquidity memory
A boundary where early session reactions often occur
2️⃣ Opening Range (ORB)
The Opening Range is defined as the first X minutes after the session open (default: 15 minutes).
On a 15-minute chart:
The ORB often forms entirely within a single candle
It represents initial institutional positioning
It helps differentiate initiative vs responsive behavior
3️⃣ ORB–ONR Cloud (Key Feature)
The Cloud is the overlapping area between the Overnight Range and the Opening Range.
This zone is critical on the 15-minute timeframe because it often represents:
Compressed auction
Balance / indecision
Liquidity absorption
Interpretation:
Price inside the cloud → Higher probability of consolidation, fade, or contraction
Price exiting the cloud → Transition toward expansion or trend resolution
The cloud is not a signal — it is a probability environment.
4️⃣ VWAP with Session-Weighted σ Bands
The study plots VWAP starting from the regular session open, along with true volume-weighted standard deviation bands (±1σ, ±2σ).
On the 15-minute timeframe:
VWAP defines fair value
σ bands help distinguish normal rotation vs statistical extension
Interaction with VWAP while inside the cloud often suggests mean-reverting conditions
Interaction with VWAP after leaving the cloud often confirms trend continuation
5️⃣ Breakout Classification (BRK)
A BRK event occurs when price closes outside BOTH:
The Overnight Range
The Opening Range
On the 15-minute chart:
BRK events often mark session regime changes
They are contextual markers, not entries
Arrows are color-matched to the candle (green candle → green arrow, red candle → red arrow)
To avoid clutter, breakouts can be limited to first-occurrence only.
Probability Layer (15-Minute Edge)
The indicator includes rolling probability calculations to quantify market behavior:
📊 Inside-Cloud Probability
Shows how often price remains inside the ORB–ONR cloud over the selected lookback.
Higher values → balance / compression dominant
Lower values → trend / expansion dominant
📉 Fade / Contraction Probability (Inside Cloud)
When price is inside the cloud, the study measures volatility contraction using ATR behavior.
Higher contraction % → Greater likelihood of rotation or fade
Lower contraction % → Cloud acting as launchpad rather than balance
📈 State Occupancy (5-State Model)
Tracks how price distributes its time across:
Above both ranges
Below both ranges
Inside ORB only
Inside ONR only
Inside the Cloud
This helps traders understand where the market statistically prefers to trade on the 15-minute structure.
Best Use Cases (15-Minute Chart)
✔ Contextual bias for intraday swing trades
✔ Identifying fade vs trend conditions
✔ VWAP-based execution alignment
✔ Avoiding low-probability entries inside compression
✔ Session structure awareness without lower-timeframe noise
What This Indicator Is NOT
❌ Not a buy/sell system
❌ Not predictive
❌ Not a guarantee of outcomes
It is a market structure and probability framework — designed to improve decision quality, not replace risk management.
Recommended Settings (15-Minute)
ORB Length: 15 minutes
VWAP Bands: ±1σ / ±2σ
Probability Lookback: 100–200 bars
Breakout Mode: First-occurrence only
Cloud Enabled: Yes
Risk & Compliance Notice
This tool is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or trade instructions.
All trading involves risk, including the possible loss of capital.
Standalone Signal - trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
SA Fib 22 Fib 72 Reaction SuiteSIGNAL ARCHITECT™ — Fib 22 + Fib 72 Reaction Suite
4-Hour Timeframe Use Case Guide
🔍 WHAT THIS STUDY DOES (4H CONTEXT)
The Fib 22 + Fib 72 Reaction Suite is a reaction-based market structure tool, not a predictive indicator.
On the 4-Hour timeframe, this study is designed to identify:
Institutional decision zones
Defensive reactions vs momentum continuation
Where price must respond, not where it “might” go
Rather than forecasting direction, the study highlights high-probability reaction areas derived from the recent structural range.
📐 CORE LOGIC OVERVIEW
This system operates with two distinct Fibonacci behavior zones, each serving a different market function:
🔹 Fib 72 — Decision / Defense Zone
Represents upper structural participation
No trend filter applied
Used to detect:
Bullish defense (reclaim)
Bearish rejection (failure)
Ideal for:
Swing inflection
Range resolution
Institutional defense zones
🔹 Fib 22 — Momentum Continuation Zone
Represents lower retracement continuation
Requires trend alignment
Used to confirm:
Continuation after pullbacks
Trend-validated re-entries
Ideal for:
Trend continuation
Add-on positioning
Directional confirmation
🕒 WHY THE 4-HOUR TIMEFRAME WORKS BEST
On the 4H chart, this system becomes a swing-grade structural map rather than a short-term signal tool.
Best characteristics on 4H:
Filters out intraday noise
Captures multi-day institutional positioning
Aligns well with:
Macro rotations
Sector moves
Index rebalancing flows
This timeframe is especially effective for:
Swing traders
Position builders
Portfolio bias confirmation
🧭 HOW TO INTERPRET SIGNALS (4H)
🟢 BULL 72 (Defense / Reclaim)
Price tests Fib 72
Successfully reclaims with confirmation
Indicates:
Buyers defending higher structure
Failed breakdown attempt
Potential upside continuation or range hold
🔴 BEAR 72 (Rejection)
Price tests Fib 72
Fails and rejects lower
Indicates:
Supply defending structure
Failed breakout attempt
Potential downside rotation
🟢 BULL 22 (Momentum Continuation)
Price retraces to Fib 22
Trend filter must confirm
Indicates:
Healthy pullback in an uptrend
Institutional continuation zone
Momentum resumption potential
🔴 BEAR 22 (Momentum Continuation)
Price retraces to upper Fib 22 (bear side)
Trend filter must confirm
Indicates:
Controlled pullback in a downtrend
Continuation after relief
Trend-aligned downside pressure
🎯 BEST USE CASES (4H)
✔ Swing bias confirmation
✔ Multi-day trade planning
✔ Trend continuation validation
✔ Structural reaction analysis
✔ Pairing with:
Weekly levels
Volume profile
Auction / VWAP frameworks
Macro rotation analysis
🚫 Not intended for:
Scalping
Tick-by-tick execution
Standalone entry timing
⚠️ IMPORTANT NOTES
Signals do not predict future price
Signals identify reaction zones only
Always wait for confirmation behavior
Best used as a context layer, not a trigger alone
⚖️ DISCLAIMER (MANDATORY)
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security or instrument.
Trading and investing involve substantial risk, including the possible loss of principal.
Past performance is not indicative of future results.
You are solely responsible for your trading decisions, risk management, and compliance with all applicable laws and regulations.
By using this script, you acknowledge and accept these risks.
Signal To trade along with the indicator
trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
SA Trump Volatility Pattern Wick + Volume Shock ReversalDisclaimer (read first)
Educational use only — not financial advice. This script does not provide entries/exits, targets, position sizing, or profit guarantees. Trading (especially options/futures) involves substantial risk and can result in loss of principal (and more for leveraged products). Use at your own discretion.
Best use cases on the 2-Hour timeframe
On 2H, this script becomes a high-signal-quality “shock reversal” detector instead of a noisy candle toy. You’re essentially filtering for:
Large wick rejection
Small real body
Statistically unusual volume (Z-score > threshold)
Context alignment (trend filter + prior bar direction + optional RSI)
What 2H is best for
1) Detecting “event shock” reversals
2H bars often capture:
Macro headlines
Fed commentary
earnings reactions (for equities)
sudden volatility expansions
When the script fires on 2H, it often means:
“Aggressive push happened, liquidity got rejected, and participation was unusually high.”
That’s a structural clue, not a trade instruction.
2) Filtering false breakouts / breakdowns
The wick requirement is basically “failed continuation.”
On 2H, this is powerful around:
prior day highs/lows
weekly pivots
obvious consolidation edges
key moving averages (fast SMA / slow SMA gate)
Bull pattern = flush + reclaim behavior.
Bear pattern = pop + rejection behavior.
3) Options traders: timing “premium exposure windows”
On 2H, this is great for options traders who want to avoid buying premium into a fake move.
BullTrump on 2H can be used as a “don’t chase puts / be cautious short” context shift.
BearTrump on 2H can be used as a “don’t chase calls / be cautious long” context shift.
It’s a “regime hint” for the next few sessions, not a one-bar command.
4) Futures traders: rotation vs continuation framework
A 2H “Trump Candle” often marks:
the end of a liquidation leg
a stop-run / squeeze peak
a pivot moment where the market shifts from impulse to balance
Use it to decide whether you’re in:
continuation mode (trend carries)
or rotation mode (mean-reversion / two-way)
How to use it (2H workflow)
Step A — Keep it strict at first
Recommended defaults for 2H:
wickFracThreshold: 0.40–0.55
bodyMaxFrac: 0.35–0.45
volZThresh: 1.0–1.5
useRSIFilter: ON
RSI bull min / bear max: 45 / 55 (good baseline)
Step B — Treat triggers as “context events”
When it prints, ask 3 questions:
Where did it happen? (key level or random spot)
Was it aligned with trend gate? (SMA fast/slow)
Did volume Z-score spike? (true shock vs normal wick)
Higher quality triggers happen when:
the wick pierces a known level (prior swing / range edge)
and the close re-enters the range
and volume Z-score is meaningfully positive
Step C — Confirm with the next 1–2 candles (optional)
On 2H, it’s reasonable to wait for:
a follow-through close
or a hold above/below fast SMA
or a second “acceptance” candle
You can do this manually without changing code.
Other recommended timeframes (best to worst)
✅ 4H (even cleaner, fewer signals)
Use for:
swing context
multi-day pivots
big reversal points
✅ 1H (more signals, still structured)
Use for:
intraday + overnight context
day-trade bias shifts
✅ 30m (for active traders)
Use for:
tighter responsiveness
more setups
But requires more discretion; noise increases.
⚠️ 15m and below (only if you increase strictness)
If you want to run it on 5m/15m:
raise volZThresh (ex: 1.5–2.0)
raise wickFracThreshold (ex: 0.50–0.65)
lower bodyMaxFrac (ex: 0.25–0.35)
Otherwise it will trigger too often.
Best markets for this script
Works best on:
Index futures: /NQ, /ES (big volume makes Z-score meaningful)
Liquid ETFs: SPY, QQQ
High-volume large caps (AAPL, MSFT, NVDA etc.)
Less reliable on:
thin small caps (volume Z-score gets weird)
low-volume premarket candles
illiquid options underlyings
Signal Inside the Script ✅ SA ZoneEngine Bias Filtered is a market-structure bias and confirmation tool designed for futures To request access: 👉 Purchase here: trianchor.gumroad.com
Best GBT for this indicator
chatgpt.com
chatgpt.com
chatgpt.com
Signal Architect Stop-HuntStop-Hunt Proxy (Auto-Config) — Signal Architect™
What this script does
The Stop-Hunt Proxy is a market-structure and liquidity observation tool designed to highlight areas where stop-loss liquidity is likely raided and price fails to continue, often revealing absorption or auction failure behavior.
This script does not predict direction.
It does not authorize trades.
It identifies where intent failed, not what price must do next.
Think of it as a liquidity awareness layer, not a signal system.
Core behavior detected
The script combines several structural components:
Prior swing highs / lows
Areas where stop-loss orders often cluster.
ATR-scaled liquidity zones
Zones automatically expand or contract based on volatility.
Wick dominance
Long wicks relative to range suggest failed continuation.
Absorption proxies (BSP / VDP)
Volume-weighted pressure imbalance that may indicate opposition.
VWAP interaction (optional)
Reclaim or failure provides auction context.
When these align, the script highlights a stop-hunt (liquidity harvest) event.
Visual elements
Liquidity Zones (Clouds)
Zones appear above prior highs and below prior lows.
Thickness adapts automatically to current volatility.
These represent areas of potential stop-loss concentration.
Stop-Hunt Arrows
Arrows appear only when multiple filters align, such as:
Liquidity zone is raided
Wick structure shows rejection
Optional absorption behavior is present
Optional VWAP context confirms failure or reclaim
An arrow means:
Liquidity was taken and continuation failed.
It does NOT mean:
A reversal is guaranteed
A trade should be taken
Price must move in a certain direction
Suggested timeframes (IMPORTANT)
This script is most reliable on larger intraday and higher timeframes, where liquidity structure is clearer and noise is reduced.
⭐ Best-performing timeframes
30-minute
1-hour
2-hour
4-hour
Daily (context only)
Acceptable lower timeframes (with caution)
15-minute
5-minute (structure confirmation only)
Lower timeframes may produce more frequent signals, but also more noise and false context. The strength of this tool increases as timeframe increases.
Best use cases
This script is best used for:
Identifying liquidity harvest events
Detecting failed breakouts or breakdowns
Providing context for WAIT vs observe
Confirming auction failure before continuation elsewhere
Complementing:
VWAP / Anchored VWAP
Auction or market-state models
Volatility and participation analysis
It is especially useful during:
Range-to-rotational markets
Post-breakout failures
Areas of obvious prior highs/lows
What this script is NOT designed for
❌ Trade automation
❌ Buy/sell alerts
❌ Scalping systems
❌ Predictive forecasting
❌ Profit modeling
If you are looking for explicit trade instructions, this script is not intended for that purpose.
How to use it correctly
Observe the zone
Did price raid a prior high or low?
Observe the reaction
Did price fail to continue after taking liquidity?
Check the context
VWAP behavior
Volatility regime
Higher-timeframe structure
Assign NO immediate outcome
The correct response is often WAIT.
This tool helps answer:
Where was liquidity taken?
Did price accept or reject after?
Is intent being revealed or denied?
Design philosophy — Signal Architect™
Markets move through liquidity, not opinion.
This script exists to highlight where the market attempted something and failed, which is often more informative than where it succeeded.
Liquidity was taken. Intent was revealed. Outcome remains unassigned.
Final reminder
Educational use only.
Not financial advice.
Trading and investing involve substantial risk, including possible loss of principal.
Signal Architect Stop-Hunt (Auto-Config) 🧠 Signal Architect™
Stop-Hunt Proxy (Auto-Config) — HOW TO USE IT
What this is:
A liquidity-raid + absorption detector that highlights when stops are likely swept and price fails to continue, implying forced positioning + reversal risk.
This is NOT:
a momentum indicator
a breakout tool
a trend follower
It is a reaction-point locator.
1️⃣ WHAT THE STUDY IS ACTUALLY SHOWING
A. Zones (the clouds)
These are where stops cluster:
🔴 Red Zone (Above highs) → short stops likely
🟢 Green Zone (Below lows) → long stops likely
They are built from:
prior swing high / swing low
ATR-scaled thickness
volatility-adaptive sizing
👉 If price never enters a zone, nothing is happening.
B. The Trigger (arrows)
An arrow only prints when ALL of this occurs:
Price raids stops
wicks into a stop zone
Fails to continue
wick dominance ≥ threshold
Absorption occurs
volume shows opposition (BSP vs VDP)
VWAP context holds
reclaim (bull) or failure (bear)
This is liquidity taken — not continuation.
2️⃣ WHEN THIS STUDY IS VALID (VERY IMPORTANT)
✅ BEST CONDITIONS
Use this only when:
Market is range-to-rotational
VWAP is active and respected
ATR is expanding or elevated
Prior highs/lows are obvious
This is excellent for:
/NQ, /ES, /RTY
QQQ, SPY
Large-cap equities
❌ DO NOT USE WHEN
Strong trend day
VWAP is irrelevant
News-driven vertical expansion
Low-volume chop
If you ignore this, it will intentionally NOT perform.
3️⃣ HOW TO EXECUTE A SIGNAL (STRUCTURAL LOGIC)
This is not “buy/sell” — this is position framing.
🟢 Bullish Stop-Hunt Arrow (below price)
Meaning
Long stops were raided → sellers absorbed → price failed lower.
Correct response
Expect mean reversion
Expect VWAP / value re-test
Expect range repair
DO NOT
Chase the arrow
Assume trend reversal
Ignore higher-TF bias
🔴 Bearish Stop-Hunt Arrow (above price)
Meaning
Short stops were raided → buyers absorbed → price failed higher.
Correct response
Expect pullback
Expect VWAP fade
Expect range rotation
4️⃣ TIMEFRAME USAGE (THIS MATTERS)
Chart TF Use Case
1–3m Entry refinement only
5–15m ⭐ PRIMARY
30m Range structure
1H Bias only
This study is NOT designed for:
Daily charts
Very low-liquidity names
5️⃣ HOW IT FITS INTO YOUR SYSTEM (KEY)
This study should NEVER stand alone.
Best pairings:
VWAP / Anchored VWAP
Your Auction / Trap studies
Gamma / Charm context
Range / balance logic
Think of it as:
“The market tried to go somewhere… and failed.”
That’s information — not a trade.
6️⃣ INPUT TUNING (PRACTICAL)
Default (balanced)
swingLookback: 20
wickRatio: 0.60
autoZoneScale: ON
useVWAPfilter: ON
useAbsorption: ON
More aggressive (scalp)
wickRatio: 0.50
confirmWithinBars: 1
More selective (swing)
wickRatio: 0.65–0.70
confirmWithinBars: 0
7️⃣ WHAT THIS STUDY MAKES YOU AWARE OF
This tool teaches you to see:
where liquidity was taken
where institutions opposed
where retail is trapped
where price is vulnerable
That awareness is the edge.
✅ 1) WHY YOU MIGHT NOT SEE ARROWS FIRING
There are a few reasons this can happen:
🔹 A) SIGNAL LOGIC IS TOO STRICT
This indicator only prints arrows when all of these conditions are met:
A stop zone is raided (wick touches the zone)
Wick shape passes the ratio filter
VWAP requirement passes (if enabled)
Absorption tell passes (if enabled)
Optional confirm within N bars logic passes
If your market / timeframe never satisfies all, arrows won’t show.
🔹 B) INPUTS MAY BE TOO SELECTIVE
Defaults are conservative:
wickRatio = 0.60
confirmWithinBars = 0
Try these relaxed settings:
wickRatio -> 0.50
useVWAPfilter -> false
useAbsorptionOK -> false
confirmWithinBars -> 1
That means:
👉 Loose filter → more possible arrow prints
🔹 C) ZONE DEFINITIONS MAY BE OFF FOR YOUR TF OR MARKET
Zones are drawn off the last 20-bar swing. If your chart isn’t finding sharp swings, raids may be rare.
Try:
swingLookback -> 10
🔹 D) VISUAL SETTINGS BLOCK THEM
If showArrows = false or labels are overlapping, arrows may not draw clearly.
Set:
showArrows -> true
👉 QUICK TEST MODE
Apply these settings on a live chart (like /ES 5m):
swingLookback = 10
wickRatio = 0.50
useVWAPfilter = false
useAbsorptionOK = false
confirmWithinBars = 1
Then scroll a few bars back and reload.
If arrows still don’t show, tell me:
📌 which ticker
📌 which timeframe
📌 a sample date/time range
chatgpt.com
WYCKOFF_SHARED_LIBLibrary "WYCKOFF_SHARED_LIB"
EPS()
nz0(x)
Parameters:
x (float)
safe_div(num, den)
Parameters:
num (float)
den (float)
safe_div_eps(num, den)
Parameters:
num (float)
den (float)
safe_ratio(a, b)
Parameters:
a (float)
b (float)
clamp(x, lo, hi)
Parameters:
x (float)
lo (float)
hi (float)
wave_dir(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp_atr(amp, atr)
Parameters:
amp (float)
atr (float)
wave_speed(ampATR, lenBars)
Parameters:
ampATR (float)
lenBars (int)
wave_eff(amp, path)
Parameters:
amp (float)
path (float)
build_wave_metrics(dir, lenBars, startPx, endPx, ampATR, speed, eff, volRel, epr)
Parameters:
dir (int)
lenBars (int)
startPx (float)
endPx (float)
ampATR (float)
speed (float)
eff (float)
volRel (float)
epr (float)
compare_waves(w0, w1)
Parameters:
w0 (WaveMetrics)
w1 (WaveMetrics)
strengthening_same_dir(c)
Parameters:
c (WaveCompare)
weakening_same_dir(c)
Parameters:
c (WaveCompare)
evr_by_waves(volSum0, ampATR0, volSum1, ampATR1)
Parameters:
volSum0 (float)
ampATR0 (float)
volSum1 (float)
ampATR1 (float)
WaveMetrics
Fields:
dir (series int)
lenBars (series int)
startPx (series float)
endPx (series float)
amp (series float)
ampATR (series float)
speed (series float)
eff (series float)
volRel (series float)
effortPerResult (series float)
WaveCompare
Fields:
amp_ratio (series float)
speed_ratio (series float)
eff_ratio (series float)
volRel_ratio (series float)
epr_ratio (series float)
EVR
Fields:
state (series int)
