Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Indicators and strategies
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
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TrendlinesTrendline S&R
This indicator is an automated technical analysis tool designed to identify the most relevant Support and Resistance (S&R) zones based on market pivots. Unlike standard pivot indicators that clutter the chart with historic lines, this script uses a "Closest-to-Price" algorithm to display only the single most relevant Support (Green) and Resistance (Red) zone currently interacting with price action.
It solves common frustrations with automated trendlines—specifically the issue of lines disappearing immediately upon a breakout—by introducing a Stability Buffer.
Key Features & Importance
The script scans hundreds of potential trendlines but only draws the one geographically closest to the current price.
Importance: This ensures you are looking at the zone that matters right now. It filters out distant or irrelevant historic lines, keeping your chart clean and focused on immediate price action.
🛡️ 5-Bar Stability Buffer (Anti-Flicker)
Feature: A hardcoded 5-bar "memory" prevents the zone from disappearing the moment price touches or breaks it.
Importance: This is critical for trading breakouts. It allows you to see the zone persist while price breaches it, helping you distinguish between a true breakout, a fakeout, or a retest, without the reference level vanishing from your screen.
🔍 Dynamic Pivot Filtering
Feature: Uses a restricted Pivot Strength (5-15) and Minimum Confirmation (2-8 touches).
Importance: By enforcing these limits, the indicator ignores insignificant market noise and micro-swings, ensuring that drawn zones represent structural market levels with genuine liquidity.
🔔 Integrated Alert System
Feature: Built-in alerts for "Zone Breakout" (candle close crossing the zone) and "Zone Touch" (wick entering the zone).
Importance: Allows you to set the indicator and walk away. You will be notified instantly when price interacts with these key levels, removing the need to stare at the chart.
📉 Adaptive Tolerance (Fixed ATR)
Feature: Uses a fixed ATR multiplier internally to determine the width of the zone.
Importance: This automatically adjusts the thickness of the support/resistance zone based on the asset's volatility.
Settings Guide
Bars to Apply: How far back in history the script looks for pivots (Default: 300).
Pivot Source: Choose between calculating from "High/Low" (wicks) or "Close" (bodies).
Pivot Strength: The number of bars required on each side to define a swing point (Range: 5–15).
Min Pivot Confirmation: The minimum number of touches required to validate a trendline (Range: 2–8).
How to Use
Add the indicator to your chart.
Adjust Pivot Strength if you want to catch smaller swings (lower number) or major structures (higher number).
Set an alert in TradingView by clicking the "Clock" icon, selecting this indicator, and choosing "Zone Breakout" or "Zone Touch".
Range Indicator Golden Pocket, Liquidity, FairValueGapOverview
This indicator is a comprehensive institutional market structure toolkit. It is designed to identify high-probability reversal zones by merging three powerful technical analysis concepts: Fibonacci Golden Pockets (61.8% - 65%), Liquidity Pool Analysis (Swing Failure Patterns), and Fair Value Gaps (FVG). By automating the detection of price inefficiencies and "stop runs," it helps traders navigate complex price action with objective, rule-based confirmation.
What the Script Does
The script continuously monitors a user-defined lookback period to define a trading range. Within this range, it dynamically plots:
Golden Pockets: High-confluence retracement zones (calculated as 0.35 - 0.382 internal range levels).
Liquidity Zones: Highlighted regions at the absolute high and low (Top/Bottom 5%) where institutional orders and retail stops are typically concentrated.
Swing Failure Patterns (SFP): Real-time detection of liquidity grabs where price breaches a range extreme but fails to close outside, signaling a potential trap.
Fair Value Gaps (FVG): Visualizes 3-candle price imbalances, showing areas of aggressive buying or selling that often act as future magnets or support/resistance.
2-Candle Confirmation: A momentum-based filter requiring a candle-close confirmation before a reversal signal is generated.
For Whom is it?
Smart Money Concepts (SMC) & ICT Students: Traders looking for automated liquidity sweeps and market inefficiencies.
Fibonacci & Mean Reversion Traders: Those seeking a clean, professional visualization of the Golden Pocket across multiple timeframes.
Systematic Day Traders: Who require strict price-action confirmation (SFP and 2-candle rules) to remove emotional bias from their entries.
Functions and Input Options
1. Market Structure & Visuals
Lookback Period (Default: 100): Defines the window for calculating the range extremes.
Box Offset Right (Default: 50): Extends all zones into the future for better anticipatory trading.
Show Price Lines & Labels: Displays the exact price for every zone boundary on the right axis for precise execution.
2. Fair Value Gap (FVG) Settings
Show Fair Value Gaps: A toggle to enable/disable the plotting of price imbalances.
FVG Extension (Default: 10): Determines how many bars into the future the FVG box remains visible.
Custom Colors: Separate color inputs for Bullish (Gap Up) and Bearish (Gap Down) inefficiencies.
3. Professional Alert System
The script includes five specific alert conditions:
GP Touch: Early warning when price enters a Golden Pocket.
2-Candle Pattern: Confirmed momentum shift within a Golden Pocket.
SFP Long/Short: Alerts when a Liquidity Grab (Swing Failure) is confirmed at the range high or low.
Transparency and Compliance (Moderator Info)
Non-Repainting Logic: All signals (SFP, 2-Candle, and FVG) are calculated and triggered based on confirmed candle closes. Drawings use barstate.islast purely for visual efficiency without altering historical data integrity.
Educational Context: The script visualizes well-known market principles (Fibonacci, SFPs, and FVGs) to aid traders in their analysis; it does not provide automated financial advice or "black-box" buy/sell signals.
Resource Management: Optimized for Pine Script v5, using efficient array and box handling to ensure smooth performance even on lower timeframes.
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Wave Dynamics - Neural Adaptive Engine🌊 WAVE DYNAMICS - NEURAL ADAPTIVE ENGINE
The Official Reference Manual & Trading Protocol
═════════════════════════════════════════════════════════════
📖 PREFACE: THE END OF STATIC ANALYSIS
The financial markets are not linear; they are fractal. They do not move in straight lines; they breathe. They expand in trending volatility and contract in chopping noise.
The fundamental failure of traditional technical analysis is Static Sensitivity .
• A 14-period RSI works beautifully in a range but fails in a trend.
• A 12,26 MACD captures trends but destroys capital in chop.
Wave Dynamics solves this by treating the market as a living organism. At its core is a Neural Adaptive Engine that calculates the Hurst Exponent (Fractal Dimension) in real-time. It measures the "roughness" of price action and automatically adjusts the lookback periods of every subsystem—Waves, Ribbons, and Oscillators—to match the current market regime.
This manual is your guide to navigating this adaptive framework.
PART 1: THEOLOGY & MARKET PHYSICS
To use this tool, you must understand the three pillars of its logic:
1. The Hurst Exponent (Chaos Theory)
The engine continuously calculates H (Hurst) on a rolling window.
• Persistent Regime (H > 0.5): "What is happening now is likely to continue." The market is trending. The Engine Tightens sensitivity to catch fast pullbacks.
• Anti-Persistent Regime (H < 0.5): "What is happening now is likely to reverse." The market is chopping/ranging. The Engine Widens sensitivity to filter out noise and stop runs.
2. The Elliott Wave Cycle (Crowd Psychology)
Price moves in 5-wave motive sequences followed by corrections.
• Waves 1 & 3: Institutional Accumulation/Mark-up.
• Waves 2 & 4: Profit Taking (The Pullback). These are the only safe entry points.
• Wave 5: Retail FOMO (The Trap). Identified by Momentum Divergence .
3. Smart Money Concepts (Liquidity)
Price moves from liquidity to liquidity.
• Order Blocks: Where institutions initiated the move.
• Breakers: Where institutions trapped traders (Support flips to Resistance).
• Fair Value Gaps: Where price moved too fast, leaving inefficiency.
PART 2: VISUAL INTELLIGENCE (COLOR THEORY)
The chart communicates instantly through a strict color-coded language.
🎨 THE RIBBON (Adaptive Equilibrium)
The background "Cloud" is an Adaptive EMA ribbon.
• Neon Green (#00FF88): Bullish Trend. Only look for Longs. Price is above the equilibrium mean.
• Neon Red (#FF3366): Bearish Trend. Only look for Shorts. Price is below the equilibrium mean.
• Grey/Narrow: Compression. The market is deciding. Do not trade inside a grey ribbon.
🎨 INSTITUTIONAL ZONES
• Green/Red Boxes (Order Blocks): Standard Support/Resistance. Valid entry zones, but lower probability.
• Vivid Purple Boxes (#9C27B0) - THE BREAKER: CRITICAL. This appears when a Green Order Block is smashed through by price. It turns Purple to signify it has flipped from Support to Resistance (or vice versa). A retest of a Purple Zone is the highest probability setup in the system.
• Dotted Outlines (FVG): Magnets. Do not place stops inside these; price will likely travel through them.
🎨 WAVE ANATOMY
• Cyan Lines: Valid Impulse Waves (1, 3, 5).
• Orange Lines/Dots: EXHAUSTION. If a wave line turns Orange, Angular Momentum is decaying. The trend is dying.
• Diamonds (◆): DIVERGENCE. Price made a Higher High, but the internal oscillator (MPI) made a Lower Low. Immediate reversal warning.
🎨 SIGNALS
• Triangles: Confirmed Entries. (Green = Long, Red = Short).
• Labels (e.g., A+): The Grade of the trade based on Confluence.
• A+: Perfect Confluence (Trend + Structure + Zone + Momentum).
• C: Counter-trend or Weak.
PART 3: THE DASHBOARD ECOSYSTEM
Three panels provide Total Situational Awareness. You must read them in order: Top Right → Bottom Left → Bottom Right.
1. MISSION CONTROL (Top Right)
This panel tells you the "Weather Report."
• Neural Status:
• 🧠 TREND: Safe to trade breakout and trend-following strategies.
• 🧠 CHOP: Danger. Use mean-reversion or stay out.
• 🧠 RND (Random): No clear edge.
• Phase: Displays the Bias (Bull/Bear) and Strength. "WEAK BEARISH" usually signals a bottom is forming.
• Score Bar: A live visual meter of the Confluence Score (0-100%).
2. THE ASSISTANT (Bottom Left)
This panel acts as your co-pilot, translating data into English.
• Situation:
• "💎 BULL GEM": You are in a range, at the bottom, showing exhaustion. Buy immediately.
• "🔥 COMPRESSION": Volatility squeeze. A violent move is imminent.
• Action: Tells you exactly what to do (e.g., "Wait for confluence," "Trail Stop," "Let it develop").
• Pro Metrics (Simulated):
• Win Rate: The percentage of signals on the current visible chart that hit Target 1.
• Profit Factor: Gross Win / Gross Loss. If this is < 1.0, stop trading this asset immediately.
• Buckets: Shows the win rate of A-Grade signals vs. C-Grade signals.
3. WAVE INTELLIGENCE (Bottom Right)
This panel provides structural context.
• Channel Gauge (0-100%):
• 0-20%: Oversold / Channel Bottom.
• 80-100%: Overbought / Channel Top.
• 50%: Equilibrium.
• W3/W1 Ratio: The "Health Check" of the trend.
• < 1.0: Weak. Wave 3 is shorter than Wave 1. The trend is struggling.
• > 1.618: Extended. The move is parabolic. Expect a snap-back.
• Trend Health (0-100): Composite score of sub-wave physics. If Health < 30, the trend is effectively dead.
PART 4: PARAMETER OPTIMIZATION (THE INPUTS)
Every input allows you to tune the engine. Here is the deep dive:
🧠 NEURAL ADAPTIVE ENGINE
• Enable Neural Adaptive Engine: Master switch for the Hurst calculation.
• Hurst Period (100):
• Adjustment: Increase to 200 for Crypto/Alts (too much noise). Decrease to 50 for
Forex/Indices (need speed).
• How to tell: If the dashboard says "TREND" but the chart is sideways, INCREASE this value.
• Min/Max Lookback: Defines the constraints. Only adjust if you are an advanced user creating a custom scalping setup (e.g., Min 3 / Max 10).
🌊 WAVE & STRUCTURE
• Base Swing Detection (8): The "Anchor."
• Scalpers (1m-5m): Set to 5-8.
• Swing Traders (1H-4H): Set to 15-20.
• Min Wave Size (ATR): Prevents the script from labeling tiny wicks as waves. Increase this during high-volatility news events.
🔗 MTF STRUCTURE MAPPING
• Require Macro Align: Strict Mode. If enabled, the script checks the Higher Timeframe (e.g., 4H). If 4H is Bearish, it BLOCKS all Long signals on the 5m chart. Use this to prevent counter-trend losses.
🏦 SMART MONEY CONCEPTS
• Enable Breakers: ALWAYS ON. This turns failed Order Blocks into Breaker Zones (Purple).
• Institutional Mode: ULTRA STRICT. If enabled, signals will ONLY fire if price is physically touching an Order Block, FVG, or Breaker. This creates very few, very high-quality signals.
🎯 SIGNAL ENGINE
• Signal Mode:
• Strict: Grades A+ and A only.
• Balanced: Grades B and above.
• Aggressive: Includes counter-trend scalps (Grade C).
• Min Confluence Score (5-35): The raw points needed to trigger. 5 is standard. 10 is conservative.
PART 5: TRADE EXECUTION PLAYBOOKS
PLAYBOOK A: THE "BREAKER RETEST" (Highest Probability)
1. Context: Ribbon is Green.
2. Event: Price creates a Red Order Block, then smashes upward through it.
3. Change: The Red Block turns Purple (Bullish Breaker).
4. Trigger: Price pulls back down to touch the top of the Purple Box.
5. Signal: Green Triangle appears.
6. Action: Max Size Entry. Stop Loss below the Purple Box. Target Wave 3 Projection.
PLAYBOOK B: THE "WAVE 4 DIP" (Trend Following)
1. Context: Wave count shows "3". Ribbon is Green.
2. Event: Price pulls back towards the Ribbon.
3. Wave Panel: Wave count flips to "4".
4. Trigger: Price touches Ribbon, prints Green Triangle.
5. Action: Standard Size Entry. Stop Loss at Swing Low. Target New High (Wave 5).
PLAYBOOK C: THE "HIDDEN GEM" (Range Reversal)
1. Context: Ribbon is Grey (Consolidation). Neural Status is CHOP.
2. Wave Panel: Channel Gauge is < 10% (Extreme Bottom).
3. Visuals: Orange Exhaustion Dot + Divergence Diamond (◆).
4. Assistant: Reads "💎 BULL GEM".
5. Action: Half Size Entry. This is a counter-trend trade. Target the middle of the range (50% Channel).
PLAYBOOK D: THE "BULL TRAP" (When to Fold)
1. Context: Wave Count is "5".
2. Wave Panel: Trend Health < 30. W3/W1 Ratio > 1.618 (Extended).
3. Visuals: Orange Line appears on price high.
4. Signal: Green Triangle appears (Grade C).
5. Action: NO TRADE. The system is warning you that even though a signal fired, the structural physics indicate exhaustion.
PART 6: GRADING & SCORING MATRIX
Every signal is graded on a 35-point scale. Know what you are buying.
• Trend Alignment (5 pts): Ribbon & HTF agreement.
• Structure (5 pts): BOS (Break of Structure) & Higher Highs.
• Physics (5 pts): MPI (Volume Flow) & Angular Velocity.
• Institutional Location (10 pts):
• Inside Order Block: +3 pts
• Inside Breaker: +4 pts
• Wave 2/4 Pullback: +3 pts
• Penalty: Wave 5 Extension (-3 pts).
Grade Scale:
• A+ (Score ≥ 70%): "All In" Setup.
• A (Score 55-69%): Strong Setup.
• B (Score 40-54%): Standard Setup.
• C (Score < 40%): Dangerous.
PART 7: RISK DISCLOSURE & LIMITATIONS
1. The Reality of Adaptation (Redrawing):
The Neural Engine is dynamic. As new data arrives, the calculation of "Chaos" changes. This means historical channel lines or wave labels may shift to fit the matured trend. HOWEVER: Entry Signals (Triangles) NEVER repaint once the bar is closed.
2. Simulation vs. Reality:
The Dashboard metrics (Win Rate, Profit Factor) are Simulations run on the historical data visible on your chart. They do not account for spread, slippage, or liquidity. They are a tool to gauge the current market personality, not a promise of future returns.
3. No Financial Advice:
Wave Dynamics is a tool for structural analysis. It helps you see the market, but it cannot trade for you. You are responsible for your own risk management.
CLOSING THOUGHTS
Wave Dynamics is not just an indicator; it is a lens. It allows you to see the market not as a random walk of candles, but as a structured, breathing entity.
Trust the Neural Status. Respect the Breakers. Fear the Exhaustion.
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM)
OVERVIEW
Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders.
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THE CORE PROBLEM THIS INDICATOR ADDRESSES
Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context).
SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system.
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WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER
The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow:
LAYER 1: MOMENTUM FUEL GAUGE
This answers the question: "Does the current move still have energy?"
After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors:
Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range.
Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher.
Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation.
Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime.
These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where:
- Above 70% = Strong momentum (green)
- 40-70% = Moderate momentum (amber)
- Below 40% = Weak momentum (red)
- Below 20% = Exhausted (triggers EXIT warning)
The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate.
IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy.
LAYER 2: TRAP ZONE DETECTION
This answers the question: "Am I walking into a potential reversal area?"
Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points:
How it works:
1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot).
2. Recent swing points are stored (up to 10 of each type).
3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR.
4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones.
5. A Confluence Score is calculated based on cluster density and proximity to current price.
The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal.
CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data.
LAYER 3: VELOCITY ANALYSIS
This answers the question: "Is price moving favorably right now?"
Velocity measures how fast price is currently moving compared to its recent average:
Calculation:
- Current velocity = Absolute price change from previous bar divided by ATR
- Average velocity = Simple moving average of velocity over the lookback period
- Velocity ratio = Current velocity divided by average velocity
Classification:
- FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays.
- NORMAL (ratio 0.5 to 1.5) : Typical price movement speed.
- SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult.
The velocity score contributes 18% to the overall quality score calculation.
LAYER 4: SESSION AWARENESS
This answers the question: "Is this a good time to trade?"
Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment:
Session Times (all in UTC):
- A sia Session : 00:00 - 08:00 UTC
- London Session : 08:00 - 16:00 UTC
- New York Session : 13:00 - 21:00 UTC
- London/NY Overlap : 13:00 - 16:00 UTC
- Off-Peak : Outside major sessions
Session Quality Weighting:
- Overlap : 100 points (highest liquidity, best movement)
- London : 85 points
- New York : 80 points
- Asia : 50 points (tends to range more)
- Off-Peak : 30 points (lower liquidity, more false signals)
The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours.
Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing.
LAYER 5: VOLATILITY REGIME ADAPTATION
This answers the question: "How should I adjust for current market conditions?"
SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market:
HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections.
NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply.
LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility.
This adaptation prevents false signals during erratic markets and missed signals during quiet markets.
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THE SYNERGY: WHY THIS COMBINATION MATTERS
These five layers are not independent indicators placed on one chart. They form an interconnected system:
- A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime).
- The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals.
- Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones.
- The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals.
- Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours.
This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation.
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HOW THE QUALITY SCORE IS CALCULATED
The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short):
For Long Quality Score:
- Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise
- Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20)
- Velocity Component (18% weight) : Direct velocity score
- Session Component (17% weight) : Current session quality score
- Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA
For Short Quality Score:
- Same structure but reversed (bearish impulse direction, trap zone above, price below SMA)
The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions.
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SIGNAL TYPES AND WHAT THEY MEAN
SPM generates four types of signals, each with specific visual representation:
PRIME SIGNALS (Cyan Diamond)
These represent the highest quality confluence. Requirements:
- Quality score crosses above the Prime threshold (default 80)
- Bias aligns with signal direction
- Fuel is sufficient (above 40%)
- Session is active (not off-peak)
- Cooldown period has passed
Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above.
STANDARD SIGNALS (Green Triangle Up / Red Triangle Down)
These represent good quality setups. Requirements:
- Quality score crosses above the Standard threshold (default 75) but below Prime
- Same bias, fuel, and cooldown requirements as Prime
Standard signals appear as small triangles in green (long) or red (short).
CAUTION SIGNALS (Small Faded Circle)
These represent minimum threshold setups. Requirements:
- Quality score crosses above the Caution threshold (default 65) but below Standard
- Same additional requirements
Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions.
EXHAUSTION SIGNAL (Purple X with "EXIT" text)
This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to:
- Consider exiting existing positions
- Avoid entering new trades in the current direction
- Wait for new momentum to develop
All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars.
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READING THE CHART ELEMENTS
TRAP ZONES (Red Dashed Box with "TRAP XX%" Label)
These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity.
How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it.
ENTRY ZONES (Green Solid Box with "ENTRY" Label)
These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance).
How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur.
TARGET ZONES (Blue Dotted Box with "TARGET" Label)
These project potential take-profit areas based on ATR multiples, adjusted for:
- Current volatility regime (wider in high volatility, tighter in low)
- Impulse direction (larger targets when aligned with impulse)
- Nearby trap zones (targets adjust to avoid placing TP inside trap zones)
How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably.
STOP LEVEL (Orange Dashed Line with "STOP" Label)
This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists).
How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level.
Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act.
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UNDERSTANDING THE DASHBOARD (Top Right Panel)
The main dashboard provides comprehensive market context:
Row 1 - Header:
- "SPM " : Indicator name
- Market State : Current overall condition
Market States Explained:
- PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities.
- READY : Good conditions. Quality score meets standard threshold. Solid setups available.
- WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended.
- AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals.
- EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting.
Row 2-3 - Quality Bars:
- " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty)
- " DN ########## " : Visual meter for short quality
- The number on the right shows the exact quality score
Row 4 - Bias:
- Shows current directional lean: LONG, SHORT, or NEUTRAL
- Color-coded: Green for long, red for short, gray for neutral
Rows 5-7 (Full Mode Only) - Trade Levels:
- Entry : Suggested entry price for current bias direction
- Stop : Suggested stop-loss price
- Target : Projected take-profit price
Row 8 - Risk:Reward Ratio:
- Format : "1:X.X" where X.X is the reward multiple
- Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1
Row 9 - Fuel:
- Shows percentage and estimated bars remaining in parentheses
- Example : "72% (8)" means 72% fuel with approximately 8 bars remaining
- Color-coded : Green above 70%, amber 40-70%, red below 40%
Row 10-11 (Full Mode Only) - Market Conditions:
- Vol : Current volatility regime (HIGH/NORMAL/LOW)
- Speed : Current velocity zone (FAST/NORMAL/SLOW)
Row 12 - Session:
- Shows active trading session
- Color-coded by session type
Row 13 (Full Mode Only) - Remaining:
- Time remaining in current session (hours and minutes)
Row 14 (Conditional) - Trap Warning:
- Appears when a significant trap zone exists in your bias direction
- Shows direction (ABOVE/BELOW) and confluence percentage
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UNDERSTANDING THE QUICK PANEL (Bottom Left)
The Quick Panel provides essential information at a glance without looking away from price action:
Row 1: Current Bias and Quality Score (large text for quick reading)
Row 2: Market State
Row 3: Fuel Percentage
Row 4: Estimated Bars Remaining
Row 5: Risk:Reward Ratio
Row 6: Current Session
Both panels can be repositioned using the settings, and each can be toggled on/off independently.
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SETTINGS EXPLAINED
CORE SETTINGS:
Analysis Lookback (Default: 20)
Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise.
Swing Detection Length (Default: 5)
Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones).
Impulse Sensitivity (Default: 1.5)
Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant.
SIGNAL SETTINGS:
Prime/Standard/Caution Thresholds (Defaults: 80/75/65)
These control the quality score required for each signal tier. You can adjust these based on your preference:
- More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals
- More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality
Signal Cooldown (Default: 8 bars)
Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh.
Show Prime/Standard/Caution/Exhaustion Signals
Toggle each signal type on or off based on your preference.
ZONE DISPLAY:
Show Trap Zones / Entry Zones / Target Zones / Stop Levels
Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter.
Zone Transparency (Default: 88)
Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent.
Zone History (Default: 25 bars)
How far back zone boxes extend on the chart. Purely visual preference.
BACKGROUND:
Background Mode (Options: Off, Subtle, Normal)
Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely.
Background Type (Options: Bias, Fuel)
- Bias : Colors background based on current directional lean (green for long, red for short)
- Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low)
DASHBOARD / QUICK PANEL:
Show Dashboard / Show Quick Panel
Toggle each panel on or off.
Compact Mode
When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining.
Position Settings
Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left.
ALERTS:
Alert Prime Signals / Standard Signals / Fuel Exhaustion
Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur.
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RECOMMENDED TIMEFRAMES AND USAGE
OPTIMAL TIMEFRAMES:
- 1-minute to 5-minute : Best for active scalping with quick entries and exits
- 5-minute to 15-minute : Balanced scalping with slightly more confirmation
- 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals
Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes.
BEST PRACTICES:
1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better.
2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny.
3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions.
4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level.
5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1).
6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results.
7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context.
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PRACTICAL EXAMPLE
Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar.
Before entering, you check the dashboard:
- State shows "PRIME" - conditions are favorable
- Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars)
- R:R shows "1:2.3" - acceptable risk-to-reward ratio
- Session shows "LONDON" - active session with good liquidity
- No TRAP warning in dashboard - no immediate resistance cluster in your way
- Entry zone visible on chart at a lower price level
- Stop and Target zones clearly marked
With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade.
However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones.
This multi-factor confirmation delivered in a single glance is what SPM provides.
Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed.
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DATA WINDOW VALUES
For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected):
- Long Quality Score (0-100)
- Short Quality Score (0-100)
- Fuel Gauge (0-100%)
- Risk:Reward Ratio
These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style.
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NON-REPAINTING CONFIRMATION
All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means:
- Signals appear at the OPEN of the new bar (after the previous bar closes)
- Signals will NEVER disappear once they appear
- Signals will NEVER change position on historical bars
- What you see in backtesting is what you would have seen in real-time
The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting.
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IMPORTANT DISCLAIMERS
TERMINOLOGY CLARIFICATION:
This indicator uses terms that might imply access to data it does not have. To be completely transparent:
- "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels.
- "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data.
- "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success.
- The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal.
TRADING RISK WARNING:
Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable.
Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions.
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ORIGINALITY STATEMENT - NOT A MASHUP
Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis:
- The Fuel Gauge decay model with its four-component weighted calculation
- The Trap Zone cluster detection with confluence scoring
- The multi-factor quality scoring system that integrates all layers
- The trap-aware entry and target zone placement logic
- The volatility regime adaptation across all components
- The session weighting is integrated into the quality assessment
The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM.
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For best results, combine SPM with your own market understanding and always practice proper risk management.
-BullByte
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
CandelaCharts - SMT 📝 Overview
The CandelaCharts – SMT indicator is a professional-grade Smart Money Technique (SMT) divergence detector designed to compare price action between correlated markets (intermarket analysis).
It identifies moments where the main chart makes a swing high or low while one or more comparison symbols fail to confirm the move—revealing potential institutional imbalance, distribution, or accumulation .
By automatically detecting pivot-based divergences and drawing clean, contextual lines and labels directly on price, SMT helps traders spot high-probability reversal or continuation zones driven by relative strength and weakness across markets.
📦 Features
Automatic SMT divergence detection – Identifies divergences between the main chart and up to two comparison symbols.
Pivot-based logic – Uses swing highs and swing lows to ensure structurally meaningful SMT signals.
Dual-symbol comparison – Compare the main market against one or two correlated instruments simultaneously.
Bullish & bearish SMT filtering – Show only bullish, bearish, or both divergence types.
Clear visual mapping – Divergence lines are drawn directly between pivots for intuitive price-context reading.
Smart labels – Compact labels display symbol(s), volume, and directional markers.
Detailed tooltips – Hover tooltips include divergence type, symbols involved, prices, volume, timestamps, and pivot settings.
Highly customizable visuals – Control colors, line width, and label styling.
⚙️ Settings
Lookback – Pivot lookback length used to detect swing highs and lows. Higher values produce fewer but more significant SMT signals.
Bias – Control which SMTs are displayed: Both, Bearish or Bullish
Swing High Color – Line and label color for SMT at swing highs.
Swing Low Color – Line and label color for SMT at swing lows.
Line Width – Thickness of SMT divergence lines.
Symbol 1 – Enable and select the first comparison instrument (e.g., NQ vs ES).
Symbol 2 – Enable and select the second comparison instrument (optional).
⚡️ Showcase
Bullish and Bearish SMTs
Bearish SMTs
Bullish SMTs
🚨 Alerts
This indicator does not include built-in alert conditions.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. Trading and investing involve substantial risk, and losses can exceed expectations. Past performance is not indicative of future results. You are solely responsible for your trading decisions. CandelaCharts assumes no liability for any outcomes resulting from the use of this indicator.
Elliott Wave: Pro ForecastElliott Wave: Pro Forecast (Dual-Path Prediction)
The "Fork in the Road" for Price Action. Most indicators show you where price has been. This indicator predicts where price could go using standard Elliott Wave Fibonacci ratios and volatility analysis.
Unlike standard forecasters that force a single path, Pro Forecast acknowledges that the market is probabilistic. It visualizes the two most likely outcomes simultaneously:
Continuation: The current trend extends deeper (or higher).
Reversal: The trend exhausts and begins a new 5-wave motive structure.
How It Works
The script identifies the most recent "Live Pivot" (the unconfirmed high or low currently forming) and calculates volatility based on the previous swing. It then projects future price action using two distinct models:
The Extension Model: Projects a generic 0.5 volatility continuation.
The Wave Model: Projects a standard Elliott Wave 5-step sequence (or ABC correction) using classic Fibonacci ratios (0.382 retracements, 1.618 extensions).
Key Features
Dual-Path Visualization: See the Bearish breakdown and Bullish bounce scenarios at the same time.
"Dip Buy" Mode (Linked Scenarios): A unique feature that links the two paths. Instead of reversing now, it simulates a reversal starting after the extension. This is perfect for planning entries at lower support levels.
Smart Target Grid: Draws horizontal dotted lines at key price targets, making it easier to line up predictions with existing Support/Resistance zones.
Invalidation Level: Automatically marks the "Hard Stop" level (Start of Wave 1). If price crosses this red line, the bullish/bearish thesis is invalid.
Zero-Floor Logic: Smart math ensures projections never predict negative stock prices, even on high-volatility/low-cap assets.
Settings Guide
Sensitivity: Controls how fast pivots are detected.
Daily Chart: Recommend 3-4 for a 1-week outlook.
4H Chart: Recommend 8-12.
Show Continuation: Toggles the "Extension" line (Orange).
Show Reversal: Toggles the "Next Wave" sequence (Blue).
Start Reversal after Extension?:
Unchecked: Reversal starts from the current price (Current Bounce).
Checked: Reversal starts from the end of the Extension line (Future Bounce).
Risk Disclaimer
This tool is for educational purposes and visualization only. It projects geometric probabilities based on past volatility, not certainty. Always use proper risk management.
Google Trends: ETH (Cryptollica)Google Trends: ETH (Cryptollica)
Google Trends data since 2016, Keyword: ETH
RSI Chebyshev Pro with Goldilocks Fractals [NPR21]RSI Chebyshev Pro with Goldilocks Fractals
- Advanced RSI oscillator combining Chebyshev Type I filtering, MESA adaptive algorithms, candlestick pattern recognition, and Williams Fractal pivot detection for comprehensive momentum analysis.
Core Features:
RSI Calculation
- Chebyshev Type I filtering for superior noise reduction
MESA Adaptive Moving Average for automatic cycle detection
Four display modes: Candles, Candles with Patterns, Heikin Ashi, Line
Adjustable RSI (1-10) and MA (1-10) line widths
Gradient-colored adaptive MA
Pattern Recognition
- Bullish/Bearish Engulfing: Green/red triangles with "Eng" labels
- Morning Star: Green label with diamond and up arrow (bullish reversal)
- Evening Star: Red label with diamond and down arrow (bearish reversal)
- Patterns require RSI confirmation (>60 bearish, <40 bullish)
- Vertical dashed lines mark all pattern occurrences
Goldilocks Fractals
- Williams Fractal methodology applied to RSI values
- BUY signals at swing lows, SELL signals at swing highs
- Bright green/red arrows maintain size at all zoom levels
- Customizable periods (default: 5), offsets, colors, and sizes
- Independent toggles for labels and shapes
Visual Design
- Hollow green bullish candles, solid red bearish candles
- Reference lines at 30, 50, 70 levels
- Professional gradient coloring (orange→yellow→green)
- Optimized for both light and dark themes
How to Use
- Settings
- Length (24): RSI calculation period
- Smoothing (3): Chebyshev smoothing factor
- Fractal Periods (5): Pivot lookback - lower = faster, higher = reliable
- MA Multiplier (1): Cycle detection sensitivity
- Line Widths: Adjust RSI and MA thickness (1-10)
Trading Applications
- Scalping (1m-5m): Fractal n=2-3, quick reversals
- Day Trading (15m-1H): Fractal n=4-5, pattern confluence
- Swing Trading (4H-Daily): Fractal n=6-8, major pivots
- Best signals: Multiple confirmations (fractal + pattern + RSI extreme)
Signal Priority
- Fractal SELL + Evening Star + RSI >70 = Strong bearish
- Fractal BUY + Morning Star + RSI <30 = Strong bullish
- Engulfing + Fractal + MA direction = High probability
- Always confirm with price action on main chart
Technical Details:
Uses Chebyshev filters for minimal phase distortion and sharp noise cutoff. MESA algorithm detects dominant market cycles (1-2048 bars) for adaptive MA calculation. Patterns require multi-bar body analysis, trend context, and RSI level confirmation. Fractals use ta.pivothigh/pivotlow on RSI values with n-period offset to prevent repainting.
Performance
No repainting - fractals appear n bars after formation. Optimized calculations for multiple indicator use. Works on all timeframes and asset classes. Compatible with desktop and mobile platforms.
Credits;
Original RSI concept by ChartPrime. Chebyshev filtering from signal processing theory. MESA algorithm by John Ehlers. Williams Fractals by Bill Williams. Conversion and integration by NPR21.
License: Mozilla Public License 2.0
Disclaimer: For educational purposes only. Use proper risk management. Past performance does not guarantee future results.
Synthetic Renko Early Flip AlertGives you the alert slightly before the Renko flip, but still based on real price.
Supply & Demand Sniper369Indicator Philosophy: The Convergence of Structure and Liquidity
The Supply & Demand Sniper369 is not just another signal generator; it is a professional-grade execution framework built on the principles of Institutional Order Flow and Liquidity Engineering. While standard indicators often lag or provide signals in "no-man's land," this script is designed to identify high-probability reversal points by combining macro-structural zones with micro-execution triggers.
What Makes This Script Original?
Most scripts treat Supply/Demand and Entry Triggers as separate entities. The originality of the Sniper369 lies in its Strict Hierarchical Logic. It employs a "Two-Factor Authentication" system for trades:
1. Structural Validation: Identifying where "Smart Money" has historically left unfilled orders.
2. Liquidity Sweep Confirmation: Using the Enigma 369 logic to detect a specific manipulation pattern (a stop-run or "sweep") that occurs exclusively within those structural zones.
By using Pine Script v6 Object-Oriented Programming, the script manages dynamic arrays of boxes and lines that auto-delete upon mitigation, ensuring your chart remains a clean, actionable workspace.
Underlying Concepts & Calculations
1. Macro: Structural Supply & Demand
The indicator calculates zones based on Pivot Strength and Volatility Scaling.
Calculations: It scans for major structural pivots ( and ). Once a pivot is confirmed, it doesn't just draw a line; it calculates a zone width based on the Average True Range (ATR).
Why it works: Institutions do not enter at a single price; they enter in "pockets" of liquidity. Using ATR-based zones ensures that on high-volatility pairs (like Gold or GBP/JPY), your zones are appropriately wide, while on lower-volatility pairs, they remain tight and precise.
2. Micro: The Enigma 369 Sniper Logic
Once price enters a zone, the "Sniper" logic activates. This is based on the Institutional Wick-Liquidity concept.
The Sweep: The script looks for a candle that breaks the high/low of the previous candle (trapping "breakout" traders) but fails to hold that level.
The Mean Threshold (50% Wick): A core calculation of the Enigma logic is the midpoint of the rejection wick.
Calculation: for Sells.
Logic: Institutions often re-test the 50% level of a long wick to fill the remaining orders before the real move starts.
How to Use the Indicator
Step 1: Wait for Structural Alignment
Observe the Teal (Demand) and Red (Supply) boxes. These are your "Points of Interest" (POI). Do not take any trades until the price is physically touching or inside these boxes.
Step 2: Monitor for the Sniper Trigger
When the price is inside a zone, look for the appearance of the Solid and Dotted lines.
The Solid Line: This is the extreme of the manipulation candle. It serves as your structural invalidation level (Stop Loss).
The Dotted Line: This is the 50% Wick level. It is your "Sniper Entry" target.
Step 3: Execution & Alerts
The script features a built-in alert system that notifies you the moment a Sniper activation occurs inside a zone.
Conservative Entry: Place a Limit Order at the Dotted Line.
Aggressive Entry: Market enter on the close of the Sniper candle if the price has already reacted strongly.
Exit: Target the opposing Supply or Demand zone for a high Risk-to-Reward ratio.
Technical Summary for Traders
Trend Detection: Uses an EMA-50 Filter to ensure Snipers only fire in the direction of the dominant trend (optional).
Scalping/Day Trading: Optimized for the 1m, 5m, and 15m timeframes, but functions perfectly on 4H/Daily for swing traders.
Dynamic Cleanup: The script automatically deletes lines if the price closes past them, signaling that the "Liquidity Grab" was actually a breakout, thus preventing you from entering a losing trade.
Multi-Filter Profit MaximizerDescription : This script is a trend-following system designed to maximize profits by capturing extended trends while filtering out market noise. It integrates four core components:
SuperTrend (Customized): Acts as a dynamic trailing stop and trend baseline.
ADX Filter: Ensures signals only occur during active volatility to avoid choppy markets.
CVD (Cumulative Volume Delta): Validates the price movement with actual volume flow.
Stochastic Momentum: Pinpoints high-probability entry entries within the trend.
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How to Use This Indicator (Profit Maximization Manual)
This indicator is designed to prioritize **“win rate” and “price range”** over the number of entries.
Market Environment Recognition (Background & Lines):
Green background & green line: An uptrend. Focus solely on long positions.
Red background & red line: A downtrend. Focus solely on short positions.
EMA 200 (Orange Line): The iron rule is to go long if the candlestick is above this line, and short if it's below.
Entry (BUY / SELL Signals):
Enter when the BUY or SELL label appears.
This is the moment when the “trend direction,” “momentum via ADX,” “fund flow via CVD,” and “timing via Stochastic” all align perfectly.
Profit Maximization Exit (Most Critical):
Stop Loss (SL): Exit immediately if the candle body breaks below the green (or red) SuperTrend line right after entry. No hesitation.
Take Profit (TP):
Method A (Trend Riding): Hold until the SuperTrend line changes color. If a major trend emerges, this can yield tremendous profits.
Method B (Conservative Approach): Take half the profit at roughly a 1:2 risk-reward ratio, then hold the remainder aligned with the SuperTrend.
Why This is “The Best”
Many indicators get whipped back and forth in range-bound markets, spitting out profits. It's coded to generate absolutely no signals when ADX < 20 (weak market). Furthermore, using SuperTrend as the stop-loss line forces a structure that comes closest to the Holy Grail of trading: **“Small losses, unlimited profits as long as the trend continues.”**
SMC Flow: Order Blocks & FVGDescription:
This indicator is designed to identify key liquidity zones based on Smart Money Concepts (SMC). It focuses on identifying high-probability reversal and continuation areas by tracking Order Blocks and Price Imbalances.
Key Features:
Order Blocks (OB): Automatically identifies supply and demand zones. The script filters for candles with high relative volume (above 20-period SMA) to ensure the zone represents significant market activity.
Fair Value Gaps (FVG): Detects 3-candle imbalance structures where price moved rapidly, leaving "gaps" that often act as magnets for future price action.
Structure Tracking: Includes a visual step-line based on the highest high and lowest low of the last 10 bars to help traders identify the current market bias.
How to use:
Demand/Supply Zones: Look for Price Action confirmation when the market returns to the highlighted Order Block boxes.
Efficiency: Use FVG boxes to identify where the market is "unbalanced." These areas often get filled before a trend continues.
Confluence: This tool is most effective when used in alignment with higher timeframe analysis and additional technical filters.
Kitty Strength vs Ticker w/ Custom MA [theUltimator5]This indicator is one of the Roaring Kitty indicators shown on his StockCharts page, as the GME: SP:SPX chart. This indicator calculates and displays the relative strength of the current ticker against a comparison ticker of your choice (SPX by default). It helps you identify outperformance and underperformance trends by visualizing the price ratio between two assets, as well as an added moving average of your choice (100 SMA by default)
Key Features:
Customizable comparison ticker (default: SPX) - compare against any index or ticker (SPY, QQQ, DIA, etc.)
Multiple moving average types: SMA, EMA, WMA, HMA, VWMA, and RMA
Adjustable moving average length for trend identification
Clean visualization in a separate pane below the main chart
How to Use:
The blue line represents the current relative strength ratio (Current Ticker / Comparison Ticker). When the line is rising, the current ticker is outperforming the comparison ticker. When falling, it's underperforming.
The silver line is the moving average of the relative strength, which helps smooth out noise and identify longer-term trends. Crossovers between the relative strength and its moving average can signal changes in relative performance.
I added additional user configuration so you can customize it to your preferred style since SPX and SMA 100 are not suitable for all tickers and timeframes.
Breaker Blocks Finder | Gold | ProjectSyndicateProjectSyndicate Breaker Blocks Finder
📊 Overview
The ProjectSyndicate Breaker Blocks Finder (PS BB Finder) is a professional-grade Pine Script indicator designed to detect and display Bullish and Bearish Breaker Blocks based on Smart Money Concepts (SMC) methodology. This indicator is specifically optimized for XAUUSD (Gold) trading but works reliably across all symbols and timeframes.
Key Features
✅ Non-Repainting: Breaker blocks never change position after formation
✅ Multi-Timeframe Support: Optimized for M5, M10, M15, M20, M30, and H1
✅ Highly Customizable: 10+ user-configurable settings
✅ Visual Clarity: Color-coded boxes and labels for easy identification
✅ Performance Optimized: Handles 1000+ candles without lag
✅ Cross-Symbol Compatible: Works on Forex, Crypto, Stocks, Indices, and Commodities
✅ Displacement Detection: Uses ATR-based displacement to filter false signals
🎯 What are Breaker Blocks?
A Breaker Block is a failed order block that becomes a new support or resistance zone after being invalidated by price. It represents a market structure shift where institutional traders (smart money) have flipped their position.
Bullish Breaker Block
A Bullish Breaker Block forms when:
1 A bearish order block (resistance zone) exists
2 Price breaks ABOVE this zone with strong displacement
3 The former resistance zone now becomes SUPPORT
4 Price may retest this zone before continuing higher
Visual: Green box with "BB ▲" label
Bearish Breaker Block
A Bearish Breaker Block forms when:
5 A bullish order block (support zone) exists
6 Price breaks BELOW this zone with strong displacement
7 The former support zone now becomes RESISTANCE
8 Price may retest this zone before continuing lower
Visual: Red box with "BB ▼" label
⚙️ Default Settings
Setting Default Range Description
Lookback Period 1000 100-5000 Number of historical candles to analyze
Max Breaker Blocks 5 1-50 Maximum number of breaker blocks to display
Swing Detection Length 10 2-20 Bars on each side to confirm swing high/low. Higher = more significant swings
Use Displacement Filter true true/false Enable to filter breaker blocks by displacement size
Displacement Multiplier 2.0 0.5-5.0 Minimum move size as multiple of ATR. Higher = stricter detection
Invalidation Method Close Close/Wick Close = Conservative (candle must close beyond zone)Wick = Aggressive (wick touch is enough)
📈 Recommended Timeframes & Settings
This indicator is optimized for the following timeframes. Use these settings as a starting point.
Lower Timeframes (M5, M10, M15, M20)
These settings are designed to capture faster price movements and are the default settings for the indicator.
Setting Recommended Value
Lookback Period 1000
Max Breaker Blocks 5
Swing Detection Length 10
Use Displacement Filter true
Displacement Multiplier 2.0
Invalidation Method Close
Higher Timeframes (M30, H1)
For these timeframes, a less strict displacement filter is recommended to capture more significant, but less frequent, breaker blocks.
Setting Recommended Value
Lookback Period 1000
Max Breaker Blocks 5
Swing Detection Length 10
Use Displacement Filter true
Displacement Multiplier 1.0
Invalidation Method Close
🎓 How to Use
Step 1: Identify Breaker Blocks
Once the indicator is loaded, breaker blocks will automatically appear on your chart:
• Green boxes = Bullish breaker blocks (former resistance, now support)
• Red boxes = Bearish breaker blocks (former support, now resistance)
Step 2: Wait for Retest
The most reliable trading opportunities occur when price retests the breaker block zone:
• For bullish breaker blocks, wait for price to come back down to the green zone
• For bearish breaker blocks, wait for price to come back up to the red zone
Step 3: Look for Confluence
Combine breaker blocks with other SMC concepts for higher probability setups:
• Fair Value Gaps (FVG) within the breaker block zone
• Liquidity grabs before the retest
• Break of Structure (BoS) or Change of Character (ChoCH) confirmation
Step 4: Enter the Trade
Bullish Setup:
• Entry: At or near the bullish breaker block zone
• Stop Loss: Below the breaker block
• Take Profit: Previous swing high or higher
Bearish Setup:
• Entry: At or near the bearish breaker block zone
• Stop Loss: Above the breaker block
• Take Profit: Previous swing low or lower
🛡️ Non-Repainting Guarantee
This indicator is 100% non-repainting, meaning:
✅ Breaker blocks never change position after formation
✅ Historical breaker blocks remain in the exact same location indefinitely
✅ Backtesting results are reliable and consistent
🐛 Troubleshooting
Issue: No Breaker Blocks Appearing
Solutions:
• Ensure "Use Displacement Filter" is enabled.
• On M30/H1, try lowering the "Displacement Multiplier" to 1.0.
• Scroll back in history; blocks may not be present on the most recent bars.
Issue: Too Many Breaker Blocks
Solutions:
• Increase "Displacement Multiplier" to 2.5 or 3.0.
• Increase "Swing Detection Length" to 12-15.
• Decrease "Max Breaker Blocks" to 3-4.
SMA Reversal Sequential MTF - Pure Confirmed Final V2SMA Reversal Sequential MTF - Detailed Indicator Manual
This indicator identifies trend reversal points based on the shape of a Simple Moving Average (SMA) and monitors these signals across multiple timeframes (MTF). By synchronizing trends from various intervals, it provides a robust framework for identifying high-probability entry points.
1. Core Logic Overview
The indicator detects "peaks" and "troughs" in the SMA to identify potential reversal points.
Bullish Reversal (UP): Occurs when the SMA turns upward after a period of decline (forming a "trough").
Bearish Reversal (DN): Occurs when the SMA turns downward after a period of inclination (forming a "peak").
In addition to detecting these turns, the indicator tracks the high/low prices of the most recent reversal points on a "Confirmed Bar" basis. When the current price breaks these levels, it confirms a trend continuation or a breakout.
2. Full Description of Input Settings
Basic Settings / Main Settings
Use Short Period (5, 4, 7) / 短期設定を使用:
true: Increases sensitivity to price movements by using shorter parameters (e.g., SMA 5). Suitable for scalping.
false: Uses standard parameters (e.g., SMA 20). Suitable for day trading and swing trading.
Timeframe Visibility / 時間足表示設定
Allows individual toggling of visibility for each timeframe's labels and lines.
Show 1M to 1m / 1M〜1m表示: Individually enable or disable the calculation and display of data for Monthly (1M), Weekly (1W), Daily (Daily), 4H, 1H, 15M, 5M, and 1m timeframes.
Hide Higher TF Settings on Lower TFs / 下位足での上位設定を非表示: When enabled, this removes lower timeframe data from higher timeframe charts to reduce visual noise.
Drawing Options / 表示オプション
Show Only Current TF Labels / 現在足のラベルのみ表示: If enabled, only labels corresponding to the chart's current interval (e.g., "5" labels on a 5M chart) will be displayed.
Show Trendlines & Channels / トレンドライン＆チャネルを表示: Automatically draws trendlines and parallel channels by connecting recent local reversal points on the current timeframe.
Show Sequential Labels / 転換点ラベル表示: Displays timeframe labels (e.g., "15", "1H") at the exact point where the SMA reversed.
Show Break Lines / ブレイクライン表示: Draws horizontal lines from the most recent peaks or troughs and displays a "BREAK" label when price crosses them.
Break Label Offset / ブレイク文字の右オフセット: Adjusts the horizontal distance of the "BREAK" label from the current bar for better visibility.
Additional Alert Settings / 追加アラート設定
Alert 1: Current + 2 Higher TFs Sync (Blue/Red) / アラート1: 現在・上位2つ同調:
Triggers a notification when the trend (UP/DN) of the current chart's timeframe, the next higher timeframe, and the second higher timeframe all align.
Alert 2: 4-TF Sync Including Current (Orange) / アラート2: 表示足を含む4足同調:
Triggers a notification when four consecutive timeframes (Current + 3 Higher) align in the same direction. This is considered a high-conviction signal.
3. How to Read the Dashboard (Table)
The compact table in the top-right corner displays the current trend status for key timeframes in real-time.
Blue Background (UP): Indicates price has broken the recent peak, confirming an uptrend for that timeframe.
Red Background (DN): Indicates price has broken the recent trough, confirming a downtrend for that timeframe.
Gray Background: Indicates the trend status is yet to be determined or is in a neutral state.
The table items are fixed to show 1D, 4H, 1H, 15M, and 5M from top to bottom. When all rows turn the same color, it indicates a strong market trend across the entire spectrum.
4. Key Feature: MTF Sync Alerts
The primary advantage of this indicator is its automation of manual Multi-Timeframe Analysis.
3-TF Sync: On a 15M chart, if the 15M, 1H, and 4H trends align, a small Blue (Buy) or Red (Sell) label appears on the chart.
4-TF Sync: If the alignment extends to a 4th timeframe (e.g., up to the Daily timeframe on a 15M chart), an Orange label is displayed, signaling a very strong trend confluence.
このインジケーター（SMA Reversal Sequential MTF）は、移動平均線（SMA）の形状からトレンドの転換点を特定し、それを複数の時間足（MTF）で監視・同期させることで、高精度なエントリーポイントを探るためのツールです。
以下に、すべてのインプット項目を含む詳細な説明をまとめました。
1. 概要と基本ロジック
このインジケーターは、SMA（単純移動平均線）が「山」や「谷」を作ったポイントを転換点として認識します。
上昇転換: SMAが一定期間、下降した後に上昇へ転じた（谷を作った）タイミング。
下降転換: SMAが一定期間、上昇した後に下降へ転じた（山を作った）タイミング。
これに加えて、直近の転換点の価格（高値・安値）を「確定足」で更新し、そのラインを価格がブレイクした際にトレンドの継続や転換を判定します。
2. インプット項目の詳細
基本設定 / Main Settings
短期設定を使用 (5, 4, 7):
true（チェックあり）: 短期的な動きに敏感になります（SMA 5期間など）。スキャルピング向け。
false（チェックなし）: 標準的な設定（SMA 20期間など）。デイトレード・スイング向け。
時間足表示設定 / Timeframe Visibility
各時間足のラベルやラインを表示するかどうかを個別に設定します。
1M〜1m表示: 月足(1M)から1分足(1m)まで、各MTFデータの計算・表示をオン/オフします。
下位足での上位設定を非表示: * 現在表示しているチャートより上位の時間足設定だけを表示し、ノイズを減らすためのスイッチです。
表示オプション / Drawing Options
現在足のラベルのみ表示: チェックすると、チャートの時間足と一致するラベル（例：5分足チャートなら「5」のラベル）のみ表示されます。
トレンドライン＆チャネルを表示: 現在表示している足の直近の転換点同士を結び、トレンドラインと並行チャネルを自動描画します。
転換点ラベル表示: SMAが反転した位置に「15」や「1H」などの時間足ラベルを表示します。
ブレイクライン表示: 直近の転換点（高値・安値）から右側に水平線を引き、そこを価格が抜けた際に「BREAK」の文字を表示します。
ブレイク文字の右オフセット: 「BREAK」ラベルを右側にどれくらい離して表示するかを調整します。
追加アラート設定 / GRP_NEW_AL
アラート1: 現在・上位2つ同調 (青/赤):
「表示中の足 + 1つ上 + 2つ上」の計3つのトレンド（UP/DN）が一致した瞬間に通知します。
アラート2: 表示足を含む4足同調 (オレンジ):
「表示中の足 + 上位3つ」の計4つのトレンドがすべて一致した強力なサイン時に通知します。
3. テーブル（ダッシュボード）の見方
画面右上に表示されるコンパクトなテーブルは、各時間足の現在のトレンド状態をリアルタイムで示しています。
青背景（UP）: 直近で高値をブレイクし、上昇トレンドにある状態。
赤背景（DN）: 直近で安値をブレイクし、下降トレンドにある状態。
灰背景: 状態が未確定なケース。
表示項目は上位足から順に 1D（日足）, 4H, 1H, 15M, 5M となっており、これらが一色に染まるタイミングが環境認識上の強いトレンドを示唆します。
4. 特徴的な機能：MTF同調アラート
このインジケーターの最大の強みは、手動でのマルチタイムフレーム分析を自動化している点です。
3足同調（SYNC）: 15分足チャートであれば「15M・1H・4H」が同じ方向を向いた時にチャート上に青（買い）または赤（売り）の小さなラベルが表示されます。
4足同調（4-TF SYNC）: さらに上位の足（15分足なら日足まで）が同調すると、オレンジ色のラベルが表示され、より強い根拠となります。
Enhanced MTF Bias Table by Odegos# Enhanced MTF Bias Table - Publication Description
## Short Description (for TradingView listing)
Multi-timeframe bias indicator combining Market Structure Shifts (MSS) with EMA analysis. Displays real-time bias across 7 timeframes (5m-Weekly) with distance metrics and volatility measurements. Perfect for identifying trend alignment and potential reversal points.
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## Full Description
### Overview
The **Enhanced MTF Bias Table** is a comprehensive multi-timeframe analysis tool designed to help traders quickly identify market bias across different time horizons. By combining Market Structure Shift (MSS) detection with Exponential Moving Average (EMA) analysis, this indicator provides a clear, color-coded view of market sentiment from short-term (5-minute) to long-term (weekly) timeframes.
### What This Indicator Does
**Core Functionality:**
- **Multi-Timeframe Analysis**: Simultaneously monitors 7 different timeframes (5m, 15m, 30m, 1h, 4h, Daily, Weekly)
- **Market Structure Detection**: Identifies when price breaks previous swing highs/lows, indicating potential trend changes
- **EMA-Based Bias**: Combines market structure with price distance from a customizable EMA to determine bias strength
- **Visual Market Structure Shifts**: Draws horizontal lines on the chart when significant market structure shifts occur
- **Real-Time Metrics**: Displays distance from EMA and ATR (volatility) for each timeframe
### How It Works
**Bias Calculation Logic:**
The indicator uses a sophisticated two-factor approach to determine market bias:
1. **Market Structure Analysis**:
- Tracks swing highs and lows using pivot points
- Identifies when price breaks above previous highs (bullish structure) or below previous lows (bearish structure)
- Uses a customizable lookback period to filter noise
2. **EMA Distance Analysis**:
- Measures how far price is from the selected EMA
- Strong bias requires BOTH structure break AND significant distance from EMA
- Neutral zone prevents false signals when price consolidates near the EMA
**Bias Categories:**
- **Strong ↑** (Dark Green): Bullish market structure + price above EMA threshold
- **Weak ↑** (Light Green): Bullish structure OR price moderately above EMA
- **Neutral** (Orange): Price within neutral zone around EMA
- **Weak ↓** (Light Red): Bearish structure OR price moderately below EMA
- **Strong ↓** (Dark Red): Bearish market structure + price below EMA threshold
### Key Features
**📊 Customizable Table Display:**
- Two table styles: Compact (minimal) or Full (detailed with labels)
- 9 position options to fit any chart layout
- Toggle distance from EMA and ATR displays
- Shows current symbol, timeframe, and date
**📈 Flexible Indicator Settings:**
- Adjustable EMA length (default: 50)
- Customizable MSS lookback period (5-50 bars)
- Breakout threshold adjustment for different instruments
- Neutral zone configuration to reduce noise
**📍 Visual Market Structure Shifts:**
- Draws horizontal lines at significant structure breaks
- Customizable colors for bullish/bearish MSS
- Optional text labels ("MSS") for easy identification
- Adjustable line width and style (solid, dashed, dotted)
**📉 EMA Overlay:**
- Optional EMA display on chart
- Full customization: color, width, line style
- Helps visualize the reference point for bias calculations
**🎨 Full Color Customization:**
- Independent color controls for all bias levels
- Customize header and table appearance
- Matches any chart theme or preference
### Best Use Cases
**1. Trend Alignment:**
Use the MTF table to identify when multiple timeframes align in the same direction. When 5-6 or more timeframes show the same bias, it indicates strong directional momentum.
**2. Divergence Detection:**
Look for disagreements between timeframes. For example, if higher timeframes (Daily/Weekly) show bearish bias while lower timeframes (5m/15m) show bullish bias, it may indicate a counter-trend bounce or potential reversal setup.
**3. Entry Timing:**
Use higher timeframe bias for direction and lower timeframe bias for entry timing. Enter trades when your trading timeframe aligns with higher timeframe bias.
**4. Risk Management:**
When lower timeframes show opposite bias to higher timeframes, it suggests trading against the major trend—requiring tighter stops and smaller positions.
**5. Market Structure Confirmation:**
The MSS lines help identify key levels where market structure changed, useful for:
- Stop loss placement (below/above MSS levels)
- Target setting (previous structure points)
- Breakout confirmation
### Recommended Settings by Instrument
**Index Futures:**
- **ES (S&P 500)**: Breakout Threshold: 0.15%, Neutral Zone: 0.15%
- **NQ (Nasdaq)**: Breakout Threshold: 0.25%, Neutral Zone: 0.20%
- **YM (Dow Jones)**: Breakout Threshold: 0.20%, Neutral Zone: 0.20%
**Forex Pairs:**
- **Major Pairs**: Breakout Threshold: 0.10%, Neutral Zone: 0.10%
- **Volatile Pairs**: Breakout Threshold: 0.20%, Neutral Zone: 0.15%
**Cryptocurrencies:**
- Breakout Threshold: 0.30-0.50%, Neutral Zone: 0.25-0.40%
- Higher volatility requires larger thresholds
### Understanding the Metrics
**Distance from EMA (%):**
- Positive values = Price above EMA (bullish territory)
- Negative values = Price below EMA (bearish territory)
- Larger absolute values = Stronger deviation from mean
- Useful for identifying overextended moves
**ATR (%):**
- Measures current volatility as percentage of price
- Higher values = More volatile conditions
- Helps adjust position sizing and stop distances
- Compare across timeframes to see where volatility concentrates
### Tips for Optimal Use
1. **Start with higher timeframes**: Check Daily and Weekly bias first to understand the bigger picture
2. **Use the 50 EMA default**: It's widely used and provides reliable support/resistance
3. **Adjust MSS lookback for your style**: Lower values (5-7) for day trading, higher values (15-25) for swing trading
4. **Watch for neutral zones**: Orange/neutral readings often precede significant moves
5. **Combine with price action**: Use MSS lines as reference points for entries and exits
6. **Don't ignore weak signals**: "Weak" bias often precedes strong moves as structure builds
### What Makes This Different
Unlike simple moving average indicators, this script:
- Combines TWO confirmation factors (structure + distance) for more reliable signals
- Provides context across multiple timeframes simultaneously
- Visually marks important market structure changes on your chart
- Offers both compact and detailed display modes
- Includes volatility measurement to gauge market conditions
### Technical Notes
- Uses `request.security()` to fetch data from multiple timeframes
- Implements `pivothigh()` and `pivotlow()` for swing detection
- All calculations use `lookahead=barmerge.lookahead_off` to prevent repainting
- MSS lines drawn in real-time as structure breaks occur
- Optimized for performance with minimal script resources
### Disclaimer
This indicator is a tool for analysis and does not provide trading signals or financial advice. Always:
- Use proper risk management
- Combine with other forms of analysis
- Test thoroughly in a demo environment
- Understand that past performance doesn't guarantee future results
- Consider market conditions and fundamental factors
---
## Tags (for TradingView)
multi-timeframe, market-structure, bias, trend, EMA, momentum, support-resistance, price-action, volatility, ATR, swing-trading, day-trading
## Category
Trend Analysis / Multi-Timeframe Analysis
---
## Quick Start Guide
**For Day Traders:**
1. Add indicator to your chart
2. Focus on 5m, 15m, 30m, and 1h timeframes
3. Look for alignment across these timeframes
4. Use MSS lines as entry/exit reference points
**For Swing Traders:**
1. Add indicator to your chart
2. Focus on 4h, Daily, and Weekly timeframes
3. Wait for 2-3 timeframe alignment
4. Use lower timeframes only for entry timing
**For Position Traders:**
1. Add indicator to your chart
2. Focus on Daily and Weekly timeframes
3. Ignore short-term noise
4. Enter when both show same strong bias
P/D Price LevelsCore Objective: This indicator is meticulously designed to help traders pinpoint Value Zones with precision. The primary goal is to identify optimal Discount levels for long positions and potential Premium levels for short positions.
Based on Smart Money Concepts (SMC), trading at overbought or oversold extremes relative to a specific reference point (Swing High/Low) significantly enhances your Risk-to-Reward (R:R) ratio.
Key Features:
Dynamic Source Selection: Automatically detects the highest peak or lowest trough within a user-defined lookback period, or allows for manual price input for higher timeframe analysis.
10 Fully Customizable Levels: Flexibility to set up to 10 unique percentage (%) offsets. This is crucial as different assets (Gold, Forex, Stocks, or Crypto) exhibit varying volatility profiles and "Golden" discount levels.
Minimalist Interface: All lines and labels are rendered in a subtle light gray and anchored to the right margin. This ensures a clean workspace that doesn't clutter your price action analysis.
Precision Engineering: Optimized for Pine Script v6 to ensure lines remain perfectly horizontal, eliminating common display glitches.
How to Use:
Auto Mode: The script identifies the highest/lowest price within your chosen "Lookback" period as the base.
Manual Mode: If you have identified a significant HTF (Higher Timeframe) Swing High/Low, simply input the price manually in the settings.
The Strategy: Monitor price reaction at key percentages (e.g., 5%, 7%, or 10% discount from a high) to find high-probability reversal or trend continuation signals.
"Trading involves risk. This script is for educational purposes and should not be considered financial advice."
Smart Z-Score OB Z-Score Impulse & Institutional Order Blocks
This indicator identifies high-probability Order Blocks (OB) by calculating the statistical deviation of price momentum using Z-Score analysis. Unlike standard pivot-based indicators, it focuses exclusively on "Institutional Footprints"—areas where price exploded with significant force.
How it Works
Statistical Outlier Detection: The script analyzes the last 100 bars to determine the "normal" volatility range. When price momentum exceeds the 6.0 Z-Score threshold, it identifies a move that has less than a 0.001% probability of being random noise.
Impulse Tracking: It monitors cumulative one-way price distance (momentum). A breakout only triggers a signal if the movement is exceptionally strong relative to recent history.
Smart Order Blocks: When a "Z-UP" or "Z-DOWN" impulse is detected, the script automatically draws a horizontal box at the origin of the move. These zones represent high-interest areas where institutional orders were likely placed.
Trading Strategy (SMC Focus)
Z-UP (Green): Indicates an aggressive institutional buy. The resulting green box acts as a Bullish Order Block (Demand Zone).
Z-DOWN (Red): Indicates aggressive institutional selling. The red box acts as a Bearish Order Block (Supply Zone).
Entry: Look for price to return (Retest) to these boxes. Since these zones were created by massive momentum, they often provide high-probability entry points with clear Stop-Loss levels just outside the zone.
"Higher Z-Score = Fewer, more potent Order Block signals."
