Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
חפש סקריפטים עבור "scalping"
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds
Overview
Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics.
Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition.
This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns.
Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds.
Conceptual Framework
Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels.
Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution.
Three core principles guide the design:
Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels.
Regime detection must adapt to current market volatility and momentum characteristics.
Divergence patterns reveal momentum exhaustion before price reversal becomes visible.
This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries.
Theoretical Foundation
The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection.
A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis.
Five internal systems operate in tandem:
Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA).
Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth.
Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution.
Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals.
Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering.
This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds.
How It Works
Adaptive RSI evaluates momentum through a sequence of self-calibrating processes:
Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation.
RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period.
Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection.
Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter.
Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values.
Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach.
Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters.
Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences.
Together, these elements form a continuously updating momentum framework anchored in statistical context.
Interpretation
Adaptive RSI should be interpreted as context-aware momentum boundaries:
Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation.
Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation.
Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions.
Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation.
Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral.
Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum.
Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification.
Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state.
Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings.
Signal Logic & Visual Cues
Adaptive RSI presents four primary interaction signals:
Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation.
Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation.
Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation.
Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction.
Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring.
Strategy Integration
Adaptive RSI fits within momentum-informed and mean-reversion trading approaches:
Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context.
Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups.
Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation.
Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction.
Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response.
Technical Implementation Details
Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA)
Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer
Threshold Construction : Linear interpolation percentile extraction from sorted distribution array
Regime Detection : State-persistent threshold crossing logic with confirmed bar validation
Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention
Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines
Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals
15 - 60 min : Intraday regime identification with divergence-validated turning points
4H - Daily : Swing and position-level momentum analysis with macro divergence context
Suggested Baseline Configuration:
RSI Length : 18
Source : Close
Smooth Oscillator : Enabled
Smoothing Length : 20
Smoothing Type : SMA
Adaptive Lookback : 1000
Upper Percentile : 50
Lower Percentile : 45
Divergence Pivot Left : 15
Divergence Pivot Right : 15
Min Pivot Distance : 5
Max Pivot Distance : 60
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise.
Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response.
Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing.
Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars).
Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections.
Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings.
Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation.
Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with mean-reverting characteristics and consistent momentum cycles
Instruments where momentum extremes reliably precede reversals or consolidations
Ranging environments where percentile-based thresholds adapt to volatility contraction
Divergence-driven strategies targeting momentum exhaustion before price confirmation
Reduced Effectiveness:
Extremely strong trending markets where oscillator remains persistently extreme
Low-liquidity environments with erratic momentum readings
News-driven or gapped markets where momentum disconnects from price temporarily
Markets with regime shifts faster than adaptive lookback can recalibrate
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance
Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum
Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones
Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration
Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction
Disclaimer
Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following
Introduction
The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior.
Originality and Innovation
Distinct Methodological Approach
What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems.
Key Original Contributions:
Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise.
Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework.
Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture.
Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy.
Technical Implementation and Functionality
Core Operational Mechanism
DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades.
The Four-Pillar Architecture:
Volatility Measurement and Normalization
Calculates Average True Range (ATR) over a user-defined period
Converts absolute volatility to percentage terms relative to price
Compares current volatility against user-defined thresholds to filter suboptimal conditions
Dynamic Trailing Stop Algorithm
Establishes an initial stop distance based on current volatility
Implements a four-state adjustment mechanism that responds to price action
Maintains stop position during trend continuation while allowing for trend reversal detection
Conditional Signal Generation
Generates entry signals only when price action meets both directional and volatility criteria
Produces exit signals based on trailing stop penetration
Incorporates position state awareness to prevent conflicting signals
Comprehensive Feedback System
Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action
Displays real-time metrics through an integrated dashboard
Offers configurable visualization options for different trading styles
Specific Trend-Following Methodology
DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods:
Not a moving average crossover system (like MACD or traditional MA crosses)
Not a channel breakout system (like Bollinger Band or Donchian Channel breaks)
Not a momentum oscillator system (like RSI or Stochastic trend following)
Not a price pattern recognition system (like head-and-shoulders or triangle breaks)
Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that:
Wait for market volatility to reach actionable levels
Establish positions when price confirms directional bias through stop penetration
Manage risk dynamically based on evolving market conditions
Exit positions when the trend exhausts itself through stop violation
Practical Application and Usage
Market Environment Optimization
Ideal Conditions:
Trending markets with sustained directional movement
Medium volatility environments (neither excessively calm nor chaotic)
Timeframes: 4-hour to daily charts for optimal signal quality
Instruments: Forex majors, commodity futures, equity indices
Suboptimal Conditions:
Ranging or consolidating markets
Extreme volatility events or news-driven spikes
Very short timeframes (below 1-hour)
Illiquid or highly manipulated instruments
Parameter Configuration Strategy
Core Parameter Philosophy:
ATR Length (Default: 21 periods)
Controls the system's memory of volatility
Shorter lengths increase sensitivity but may cause overtrading
Longer lengths provide smoother signals but may lag during volatility shifts
ATR Multiplier (Default: 6.3x)
Determines the initial risk buffer
Lower values (4-5x) create tighter stops for conservative trading
Higher values (6-8x) allow for larger trends but increase drawdown risk
Volatility Threshold (Default: 1.5%)
Filters out low-quality trading environments
Adjust based on market characteristics (higher for volatile markets)
Acts as a quality control mechanism for signals
Trading Workflow and Execution
Signal Interpretation and Action:
Entry Protocol:
Wait for BLUE "BUY" signal label appearance
Confirm volatility conditions meet threshold requirements
Enter long position at market or next reasonable opportunity
Set initial stop at displayed dynamic stop level
Position Management:
Monitor dynamic stop line for position adjustment
Allow profits to run while stop protects capital
No manual adjustment required—system manages stop automatically
Exit Protocol:
Exit on ORANGE "SELL" signal label appearance
Alternative exit if price hits dynamic stop level
System will generate new entry signal if conditions warrant re-entry
Risk Management Integration:
Position sizing based on distance to dynamic stop
Volatility filter prevents trades during unfavorable conditions
Clear visual feedback on current risk exposure
Built-in protection against overtrading
Philosophical Foundation and Market Theory
Core Trading Principles
DATR-TS embodies several foundational market principles:
Volatility Defines Opportunity
Markets don't trend continuously—they alternate between trending and ranging phases
Volatility provides the energy for trends to develop and sustain
By measuring and filtering volatility, we can focus on high-probability trend phases
Risk Should Be Proportional
Fixed percentage stops ignore market context
Dynamic stops that adjust with volatility provide more appropriate risk management
Position sizing should reflect current market conditions, not arbitrary rules
Simplicity Through Sophistication
Complex systems often fail in real-world conditions
A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches
Clear visual feedback reduces cognitive load and emotional interference
Trends Persist Until Proven Otherwise
Markets exhibit momentum characteristics
Once a trend establishes itself, it tends to continue
The trailing stop methodology captures this persistence while providing exit mechanisms
Mathematical and Statistical Foundation
The system operates on several statistical market observations:
Volatility Clustering Phenomenon
High volatility periods tend to follow high volatility periods
Low volatility periods tend to follow low volatility periods
By filtering for adequate volatility, we increase the probability of capturing meaningful trends
Trend Magnitude Distribution
Most trends are small to medium in magnitude
Very large trends are rare but account for disproportionate returns
The dynamic stop methodology allows capture of varying trend magnitudes
Autocorrelation in Price Movements
Price movements exhibit short-term positive autocorrelation during trends
This persistence allows trailing stops to capture continued movement
The system leverages this characteristic without requiring explicit autocorrelation calculation
Performance Characteristics and Expectations
Typical System Behavior
Signal Frequency:
Low to moderate signal generation (prevents overtrading)
Signals concentrated during trending market phases
Extended periods without signals during ranging conditions
Risk-Reward Profile:
Win rate typically 40-60% in trending conditions
Average win larger than average loss
Risk-reward ratios of 1:2 to 1:3 achievable
Drawdown Patterns:
Controlled through volatility adjustment
Larger drawdowns during extended ranging periods
Recovery typically follows when trending conditions resume
Comparison with Alternative Approaches
Versus Moving Average Systems:
Less prone to whipsaws during ranging markets
Better adaptation to changing volatility conditions
Clearer exit signals through stop levels
Versus Channel Breakout Systems:
More responsive to emerging trends
Lower false breakout probability
Dynamic risk adjustment rather than fixed parameters
Versus Momentum Oscillator Systems:
Better trend persistence capture
Less susceptible to overbought/oversold false signals
Clearer position management rules
Educational Value and Skill Development
Learning Opportunities
DATR-TS serves as more than just a trading tool—it provides educational value through:
Market Condition Awareness
Teaches traders to distinguish between trending and ranging markets
Develops understanding of volatility's role in trading opportunities
Encourages patience and selectivity in trade execution
Risk Management Discipline
Demonstrates dynamic position sizing principles
Illustrates the importance of adaptive stops
Reinforces the concept of risk-adjusted returns
Psychological Skill Development
Reduces emotional trading through clear rules
Builds patience through conditional execution
Develops discipline through systematic approach
Customization and Evolution
The system provides a foundation for further development:
Beginner Level:
Use default parameters for initial learning
Focus on signal recognition and execution discipline
Develop understanding of system behavior across market conditions
Intermediate Level:
Adjust parameters based on specific market characteristics
Combine with complementary analysis techniques
Develop personal variations based on trading style
Advanced Level:
Integrate with portfolio management systems
Develop automated execution frameworks
Create derivative systems for specialized applications
Conclusion: The Modern Trend-Following Paradigm
The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically.
This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments.
For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following.
The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisible—the collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
█ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
█ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI × Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The 🔒 symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
█ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
█ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
— George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
█ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Manual Backtest Dashboard (100 Trades)Manual Backtest Dashboard (100 Trades) is a lightweight TradingView indicator designed to help traders manually record and evaluate their trading performance directly on the chart. This tool is built specifically for discretionary traders such as SMC, price action, scalping, and intraday traders who want to analyze their win rate and overall performance without relying on the Strategy Tester.
The indicator works by allowing users to input their trade results manually through the settings panel. Each trade is recorded using simple values: 1 for a winning trade, -1 for a losing trade, and 0 for an empty or uncounted trade. The dashboard automatically calculates the total number of trades entered, the number of wins and losses, and the win rate percentage in real time. Users do not need to fill all 100 trade slots, as only trades with non-zero values are included in the calculations.
This indicator does not place trades or generate buy and sell signals. Instead, it focuses purely on performance evaluation, making it ideal for subjective backtesting, forward testing, and manual trading journals. The dashboard is clean, lightweight, and does not clutter the price chart, ensuring a smooth and distraction-free trading experience. The script is stable, efficient, and does not repaint, making it a reliable tool for traders who want to track and improve their consistency over time.
Wick Analysis Chart [LTS]Wick Analysis Chart - Advanced Price Rejection Visualization
Overview
The Wick Analysis Chart is a specialized oscillator that measures and visualizes price rejection strength by analyzing candle wicks relative to their body sizes. Unlike traditional wick analysis that uses raw price differences, this indicator converts wick measurements into percentage ratios, making them comparable across different instruments, timeframes, and market conditions.
The indicator emphasizes significant price rejections by incorporating volume-weighted calculations with selectable scaling methods (linear, logarithmic, or square root), while filtering out noise through multiple customizable filters including ATR-based volatility filtering, wick size thresholds, and doji detection.
What Makes This Original
This indicator combines several unique analytical approaches not commonly found together:
Percentage-based wick ratios rather than absolute price measurements, enabling cross-instrument and cross-timeframe comparisons
Volume weighting applied BEFORE filtering to ensure high-volume rejections aren't excluded
Three distinct volume scaling methods (linear, logarithmic, square root) to accommodate different trading styles and prevent chart compression
Multi-layer filtering system combining ATR volatility thresholds, minimum wick size requirements, and doji detection
Intelligent plot ordering that ensures smaller wick components remain visible when displaying both upper and lower wicks simultaneously
Color-coded rejection direction showing bullish rejections (lower wick dominant) versus bearish rejections (upper wick dominant)
How It Works
Core Calculation
The indicator calculates wick-to-body ratios as percentages:
Total Wick % = (Upper Wick + Lower Wick) / Body Size × 100
Upper Wick % = Upper Wick / Body Size × 100
Lower Wick % = Lower Wick / Body Size × 100
A 200% total wick value means the combined wicks are twice the size of the candle body, indicating strong price rejection.
Volume Weighting
Volume weighting is applied to emphasize rejections that occur on significant volume. The indicator offers three scaling methods:
Linear Scaling: Direct volume multiplier (2x volume = 2x display value). Best for dramatic emphasis on volume spikes. Suitable for scalping and intraday trading where volume surges signal important levels.
Logarithmic Scaling: Diminishing returns on extreme volume using the formula: multiplier = 1 + log(volume ratio). A 10x volume spike produces only ~3.3x emphasis. Best for preventing chart compression while maintaining volume awareness. Ideal for swing trading and multi-timeframe analysis.
Square Root Scaling: Balanced approach using square root of volume ratio. A 4x volume spike produces 2x emphasis. Provides middle ground between linear and logarithmic. Suitable for most day trading applications.
Filtering System
Three independent filters work together to eliminate noise:
ATR Filter: Removes candles whose total range is below a specified percentage of the Average True Range. This filters out low-volatility consolidation periods, focusing analysis on meaningful price movements.
Wick Size Filter: Removes candles whose volume-weighted wick percentage is below the threshold. This ensures only significant rejections are displayed, even if the candle met the ATR requirement.
Doji Filter: Automatically filters candles where the body is smaller than the specified percentage of total range. Doji candles produce extreme wick ratios that can skew the chart scale.
Calculation Flow
1. Calculate base wick-to-body percentages
2. Apply volume weighting using selected scaling method
3. Check ATR filter (if enabled)
4. Check wick size filter using volume-weighted values (if enabled)
5. Check doji filter
6. Display final values if all filters pass
How To Use
Display Configuration
Total Wick Value: Shows combined upper and lower wick size. Color indicates rejection direction - green when lower wick dominates (buyers rejected downside), red when upper wick dominates (sellers rejected upside).
Upper Wick Value: Isolated upper wick measurement. Useful for identifying supply zones and resistance rejection.
Lower Wick Value: Isolated lower wick measurement. Useful for identifying demand zones and support rejection.
When both upper and lower wicks are displayed simultaneously, the indicator automatically plots them in size order so the smaller value remains visible.
Volume Weighting Setup
Enable volume weighting and select your preferred scaling method based on trading style:
Linear: Maximum emphasis on volume, accepts potential chart compression
Logarithmic: Minimal chart compression, subtle volume emphasis
Square Root: Balanced approach for most applications
Adjust Volume Average Length based on your timeframe (shorter for intraday, longer for swing trading).
Filter Configuration
ATR Filter: Start with 80% to focus on above-average volatility moves. Increase to 100%+ for only the most volatile candles, or decrease to 60-70% to include more data.
Wick Size Filter: Start with 50% to show wicks at least half the body size. Increase to 75-100% for only the most significant rejections, or decrease to 25% for more sensitivity.
Doji Threshold: Default 5% works well for most markets. Increase for markets with frequent small-bodied candles.
Reference Levels
100% Line (Equilibrium): Represents 1:1 wick-to-body ratio. Values above this line indicate wicks larger than the body.
Extreme Level: User-defined threshold for alerts. Default 500% means wicks are 5x the body size. Adjust based on your instrument and filter settings with volume weighting enabled.
Trading Applications
Identifying Key Levels: Large wick percentages with high volume often mark important support/resistance levels where significant orders absorbed price movement.
Trend Exhaustion: Increasing wick percentages at trend extremes, especially with declining volume weighting, can signal momentum loss.
Breakout Validation: Breakout candles with small wicks (low percentage values) suggest conviction, while large wicks suggest rejection and potential false breakouts.
Session Analysis: Compare wick percentages across different trading sessions to identify when the most significant rejections occur.
Mean Reversion Setups: Extreme wick percentages above your threshold level, particularly when colored green (bullish rejection) at support or red (bearish rejection) at resistance, can signal high-probability reversal zones.
Alerts
The indicator includes an alert condition that triggers when the total wick value exceeds the extreme level. Configure the extreme level based on your backtesting to match your instrument's characteristics and filter settings.
Settings Summary
Display Options
Show Total/Upper/Lower Wick Value: Toggle visibility
Color selections for bullish/bearish total wicks and upper/lower components
Volume Weighting
Apply Volume Weighting: Enable/disable volume emphasis
Volume Average Length: Period for volume SMA comparison (default: 20)
Volume Scaling Method: Linear/Logarithmic/Square Root
ATR Filter
Apply ATR Filter: Enable/disable volatility-based filtering
ATR Length: Period for ATR calculation (default: 14)
Filter Percent: Minimum candle range as % of ATR (default: 80%)
Wick Size Filter
Apply Wick Size Filter: Enable/disable wick size threshold
Minimum Wick %: Minimum volume-weighted wick percentage (default: 50%)
Advanced
Doji Threshold: Body size as % of range for doji detection (default: 5%)
Reference Levels
Show Reference Levels: Toggle horizontal reference lines
Extreme Level: Threshold for extreme wick values and alerts (default: 500%)
Renko Velocity Meter [Chris Chapman]Here is the comprehensive copy for your Renko Velocity Meter indicator. This is structured to be used in a TradingView description, a manual, or a product listing.
Renko Velocity Meter
What is this Indicator?
The Renko Velocity Meter is a specialized momentum dashboard designed strictly for Renko Charts. Unlike standard oscillators (like RSI or MACD) which often fail on Renko due to the lack of time-based data, this tool uses "Brick Physics" to measure the actual speed and efficiency of price movement.
It answers the most critical question in Renko trading: "Is this a real trend, or just a choppy consolidation?"
Instead of giving you lagging signals, it provides a real-time Velocity Score (0-100) displayed on a dashboard directly on your chart. It automatically filters out "fake" moves and highlights high-probability "TURBO" conditions when the market enters a powerful extension phase.
How It Is Calculated
The Velocity Score is derived from a proprietary blend of three distinct mathematical checks:
1. Trend Efficiency ("The Snake Logic") The script calculates the ratio between the Net Price Move and the Total Distance Traveled over a lookback period.
High Efficiency: Price is moving in a straight line (Strong Trend).
Low Efficiency: Price is winding back and forth (Chop/Range).
2. Momentum Deviation (Auto-Brick Detection) The indicator automatically detects your specific Renko brick size (whether 2 pips, 10 points, or custom) without manual input. It then measures how many "Bricks" the price has pulled away from the baseline Moving Average.
If price is 6+ bricks away from the average, it signals a high-momentum extension.
3. HTF Trend Lock (Multi-Timeframe Filter) It internally checks a Higher Timeframe (default: 15-minute) to ensure you are trading with the dominant trend.
HTF LOCK: The Renko trend and the 15m trend are aligned (Green).
HTF MIX: The trends are conflicting. The score is automatically capped at 60 to prevent false signals.
4. The "Counter-Trend" Penalty To prevent buying tops or selling bottoms, the script instantly penalizes the score if a "Retracement Brick" forms.
Example: If the trend is UP, but a RED brick forms, the score is forced down to the "Yellow/Neutral" zone until the trend resumes.
Requirements
To use this indicator effectively, you must meet the following chart conditions:
Chart Type: Renko (This is mandatory. The math relies on fixed-size bricks).
Timeframe: Works on all timeframes, but optimized for standard scalping setups (e.g., 2-pip fixed bricks on EURUSD/Gold).
Data Feed: High-quality data is recommended. For maximum precision, use a 1-second (1s) interval setting for your Renko box generation if your TradingView plan allows it.
The Inputs (Settings)
You can customize the sensitivity of the meter to fit your specific asset class:
Trend Efficiency Period (Default: 14):
The number of bricks used to calculate how "straight" the trend is. Lower numbers make the score faster; higher numbers make it smoother.
Momentum Baseline (Default: 20):
The length of the internal Moving Average used as the "mean" price.
Max Momentum in Bricks (Default: 6):
How many bricks of extension are required to hit a "100% Score"? Increase this for volatile assets like Gold or Bitcoin.
HTF Support (Default: 15):
The Higher Timeframe used for the Trend Lock filter.
Meter Position:
Choose where the dashboard appears on your screen (Top Right, Bottom Left, etc.).
Dashboard Legend
GREEN (Score > 70): TURBO – Strong trend alignment. High probability of continuation.
YELLOW (Score 50-70): TREND – Active trend, but potentially stalling or retracing.
RED (Score < 50): CHOP – No clear direction or conflicting signals. Stay flat.
POSITION: Shows the current logic state (LONG/SHORT/FLAT).
Filtered Fractals (2-Stage + Alerts)Filtered Fractals
Overview
This indicator is an advanced evolution of the classic Fractal logic (like the WICK.ED or Bill Williams models). Standard fractals are often "noisy," marking every minor local peak or trough, which can lead to false signals in volatile markets.
This script solves the "noise" problem by introducing a Dual-Stage Filtering Process. Instead of displaying every fractal, it treats them as "candidates" and only confirms those that represent a dominant extremum relative to their neighboring fractals.
How It Works
The script operates in two distinct stages to ensure only the most significant structural pivot points are plotted:
Stage 1: Detection
The script identifies "Raw Fractals" based on your preferred sensitivity (Left/Right bars). By default, it uses a 5-bar lookback/lookforward, but these remain hidden from the chart initially.
Stage 2: Sliding Window Competition
The script monitors a rolling sequence of the last three identified fractals. It compares their prices to find the "True Extremum":
For Highs , it compares the 3 most recent fractal peaks.
For Lows , it compares the 3 most recent fractal troughs.
The Point System: Every time a fractal is the "winner" (the highest high or lowest low) within its 3-fractal window, it receives a confirmation point.
The Priority Rule: In cases where two fractals have the exact same price, the script gives priority to the earlier one (the "left" peak), reducing late entries.
Visual Confirmation
A fractal is only plotted on your chart once it achieves two confirmations . This means it has proven to be a significant price extreme compared to both its predecessor and its successor.
Key Features
Noise Reduction: Eliminates "crowded" fractals, leaving only the structural backbone of the trend.
Non-Repainting Logic: The script only processes confirmed closed bars. The current developing candle will never trigger a false fractal or a premature alert.
Smart Alerts: Built-in alert() functionality. You can set a single alert to notify you the exact moment a Bullish or Bearish fractal is confirmed.
Customizable Sensitivity: Adjust the Left/Right Bars in the settings to fit your specific timeframe (e.g., higher values for macro trends, lower for scalping).
How to use
Support/Resistance: Use these filtered fractals to draw more reliable S/R zones.
Stop Loss Placement: Ideal for trailing stops behind truly significant swing points.
Trend Confirmation: A series of higher-high filtered fractals provides a much cleaner view of an uptrend than standard indicators.
Trinity 5-8-13 EMA RibbonThis is a simple little script that is based on the 5-8-13 scalping or day trading strategy, the ribbon color will flip based on the candle to EMA direction. Use this in conjunction with a higher time frame EMA as well as something like a 200 EMA or VWAP for trend direction. The indicator will give you the current candle bias.
Candle Born TrendlineThis indicator pinpoints the exact location where a candlestick formation begins. It allows for more accurate tracking of asset trends. It also helps monitor price trend reversals. Its purpose is to provide the user with a tool that allows for visual monitoring of price action. It was created especially for those who trade using scalping techniques.
Liquidity Zones | NRP | ProjectSyndicate🏦 ProjectSyndicate Liquidity Zones 1.0 — Complete Documentation
Specifically built for: XAUUSD (Gold) 🥇, NQ 💻, ES 📈 and FX 💱 traders
✅Default settings: tuned to work well across multiple timeframes
Best sweet spot timeframes : M5 / M15 / M30 / H1 → consistently produces high-quality zones
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🌍 Overview
ProjectSyndicate Liquidity Zones is a Pine Script v6 indicator built to identify stop-loss hunting zones and liquidity pockets—areas where price frequently sweeps retail stops and then reverses.
It automatically detects and draws zones where institutional flow often triggers liquidity before moving price in the opposite direction.
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💧 What Are Liquidity Zones?
Liquidity zones are price levels where stop-loss orders cluster (often around swing highs/lows). Large players may push price into these levels to trigger stops (liquidity sweep) and then reverse.
Also known as:
• 🪤 Stop-loss hunting
• 🌊 Liquidity sweeps
• 🎯 Stop runs
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🥇 Why Gold, NQ, ES & FX?
These markets often show repeatable liquidity behavior because of:
• 👥 Heavy participation and predictable stop placement
• 🏛️ Strong institutional activity and order flow
• ⚡ Volatility that enables fast “sweep & reverse” moves
• 📍 Clear technical levels where stops tend to cluster
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⚙️ How It Works (3 Detection Engines)
1) 🔺 Pivot-Based Detection
Finds swing highs/lows using fractal pivots—natural stop placement zones.
2) 🕯️ Wick Trap Detection
Flags candles with dominant wicks (long rejection shadows), suggesting stops were hit then price snapped back.
3) 📊 Volume Spike Detection
Marks extremes where volume is elevated (local highs/lows). High volume at extremes often signals liquidity being triggered.
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🧩 Zone Types
🟦 Bull Liquidity Zones (Teal/Cyan)
• 📍 Below current price (support area)
• 🧠 Indicates buy-side stops were swept (longs got hunted)
• 📈 Often becomes a potential reversal zone upward
• ✅ Idea: Look for bullish confirmation after a sweep
🟥 Bear Liquidity Zones (Maroon/Red)
• 📍 Above current price (resistance area)
• 🧠 Indicates sell-side stops were swept (shorts got hunted)
• 📉 Often becomes a potential reversal zone downward
• ✅ Idea: Look for bearish confirmation after a sweep
⚪ Historic Zones (Gray)
• 🕰️ Zones that were breached
• 📚 Useful for studying past behavior and sweep patterns
• ❗ Not considered “active”, but great for context
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🛠️ Settings Guide
🔎 Detection Settings
🔺 Pivot Detection Length (Default: 10)
• Range: 3 → 50
• Controls swing sensitivity
• Lower (5–8): more zones, faster, noisier ⚡
• Higher (15–20): fewer zones, stronger, cleaner ✅
Recommended (XAUUSD / NQ / ES / FX):
• ⏱️ M5 / M15: 8–10
• ⏱️ M30: 10–12
• ⏱️ H1: 12–15
🕯️ Wick Dominance Ratio (Default: 0.5)
• Range: 0.3 → 0.85
• 0.5 = wick must be ≥ 50% of candle range
• Lower: more traps detected
• Higher: only extreme rejections
✅ Recommended: 0.5–0.6 (balanced)
📊 Volume Spike Multiplier (Default: 1.3)
• Range: 1.0 → 4.0
• 1.3 = volume must be ≥ 130% of 20-period avg
• Lower: more signals
• Higher: only major spikes
✅ Recommended: 1.3–1.5
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📦 Zone Settings
📏 Zone ATR Period (Default: 14)
• Range: 10 → 50
• Controls volatility measurement used for zone sizing
• Shorter = more responsive ⚡
• Longer = smoother ✅
✅ Recommended: 14–20
📐 Zone Width (ATR Multiple) (Default: 0.5)
• Range: 0.2 → 1.5
• 0.5 = zone extends 0.5 × ATR around the level
• Smaller (0.3–0.4) = tight & precise 🎯
• Larger (0.6–0.8) = wider coverage 🌊
✅ Recommended: 0.4–0.6
🧱 Max Zones (Default: 8)
• Range: 2 → 20
• Lower = cleaner chart 🧼
• Higher = more context 📚
✅ Recommended: 6–10
↔️ Min Zone Separation (ATR) (Default: 2.0)
• Range: 0.5 → 5.0
• Prevents zone clustering
• Lower = more zones (tighter stacking)
• Higher = fewer zones (cleaner layout)
✅ Recommended: 1.5–2.5
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👁️ Display Options
• ✅ Show Current Zones (ON) → active bull/bear zones
• ⛔ Show Historic Zones (OFF) → breached zones in gray
• ✅ Show Zone Labels (ON) → quick identification
• ⛔ Show Pivot Markers (OFF) → optional triangles
• 🌫️ Zone Opacity (80) → suggested 75–85
• 🎨 Bull Color: Teal
• 🎨 Bear Color: Maroon
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📈 Trading Strategies
🪤 Strategy 1: Liquidity Sweep Reversal
Steps:
1️⃣ Identify zone
2️⃣ Wait for price to sweep into zone (wick into it)
3️⃣ Confirm with rejection candle
4️⃣ Enter with stop beyond zone
✅ Example (concept): sweep → reclaim → continuation
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🔁 Strategy 2: Zone-to-Zone Trading
• Sweep bull zone → target bear zone 🎯
• Sweep bear zone → target bull zone 🎯
Risk plan:
• 🛑 Stop: 1–2 ATR beyond zone
• 🎯 TP: next opposite zone or 2:1 RR
• 📦 Risk: 1–2% per trade
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🧲 Strategy 3: Confluence Trading
Look for zones that align with:
• 🧮 Fibonacci (50 / 61.8)
• 🔢 Round numbers (e.g., 2600 / 2650 / 2700)
• 📅 Previous day high/low
• 📉 Trendlines / MAs
More confluence = stronger zone 💪
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🕰️ Strategy 4: Historic Zone Analysis
Turn on historic zones and study:
• Did it reverse after breach?
• How far did it extend beyond?
• What did volume do?
Use these patterns to improve expectations on current zones 📚
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⏱️ Timeframe Recommendations
M5
• 🏎️ Scalping, fast signals
• More zones, more noise
• Tight risk, quick exits
M15
• ⚖️ Best balance for intraday
• Strong zone quality + quantity
M30
• 🧘 Cleaner zones, stronger signals
• Wider stops, more patience
H1
• 🏗️ Highest-quality zones
• Fewer false signals, bigger targets
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✅ Best Practices
Do’s ✅
• Wait for confirmation candles 🕯️
• Use multi-timeframe context (H1 zones + M15 entries) 🧭
• Combine with price action (engulfing / pin bars) 🎯
• Always use stops 🛑
• Study breached zones 📚
• Adapt settings to volatility 🌊
Don’ts ❌
• Don’t trade every zone blindly
• Don’t ignore context (trend/news/sentiment)
• Don’t overtrade
• Don’t treat settings as “one-size forever”
• Don’t fight strong trends without confirmation
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🧠 Advanced Tips
🕒 Session-Based Behavior
• 🌙 Asia: zones often hold better (lower volatility)
• 🇬🇧 London: aggressive sweeps
• 🇺🇸 NY: continuations or major reversals
• 🔥 Overlaps: most volatile → strongest reactions
📰 News Awareness
High-impact events (CPI, NFP, FOMC) can:
• create zones rapidly ⚡
• invalidate zones ❗
• extend beyond zones 🎢
Tip: avoid trading zones during major releases
🧩 Multi-Timeframe Confirmation
• Find zone on H1
• Refine entry on M15
• Confirm structure shift / reaction before entry ✅
💪 Zone Strength Clues
Stronger zones often have:
• multiple detection methods (pivot + wick + volume)
• confluence with key levels
• recent formation
• clean first reaction
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🧰 Troubleshooting
Too Many Zones
Try:
• Increase separation (2.5–3.0)
• Reduce max zones (5–6)
• Increase pivot length (12–15)
• Increase wick ratio (0.6–0.7)
Too Few Zones
Try:
• Decrease separation (1.0–1.5)
• Increase max zones (10–12)
• Reduce pivot length (7–8)
• Reduce wick ratio (0.4–0.5)
• Reduce volume multiplier (1.2)
🚫 Zones Not Showing
Check:
• “Show Current Zones” is ON ✅
• enough bars loaded
• try defaults first, then adjust
Historic Zones Not Appearing
• Price must breach zones first
• scroll back for older breaches
• increase max zones to store more
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🔔 Indicator Alerts
🟥 Bear Liquidity Zone Detected
• Trigger: new resistance zone
• Message: “Bear liquidity hunting zone identified”
• Use: selling opportunities 🧲
🟦 Bull Liquidity Zone Detected
• Trigger: new support zone
• Message: “Bull liquidity hunting zone identified”
• Use: buying opportunities 🧲
Setup:
1️⃣ Right-click chart → Add Alert
2️⃣ Select indicator condition
3️⃣ Choose Bull/Bear alert
4️⃣ Select delivery method (popup/email/webhook)
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⚡ Performance Notes
• 🧱 Max boxes: 500
• 🏷️ Max labels: 500
• 🪶 Lightweight / minimal lag
• ✅ No repaint (confirmed on bar close)
• 🔒 Zones stay fixed once created
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🧾 Version History v1.0
• Pine Script v6
• 3 detection methods (pivot / wick / volume)
• Current + historic zones
• Custom colors & settings
• Built-in alerts
• Optimized defaults across M5/M15/M30/H1 for XAUUSD, NQ, ES, FX ✅
Can be also combined with Order Block Finder and FVG Finder
for complete / more advanced SMC strategy chart overlay.
✅ Order Block Finder | Gold | ProjectSyndicate
✅ FVG Finder | NRP | ProjectSyndicate
ATR + BJ Signal V3ATR + BJ Signal (Optimized for GOLD)
This indicator is designed for mean-reversion scalping on GOLD, focusing on volatility expansion and momentum exhaustion.
Key features:
ATR-based candle expansion filter to detect abnormal moves
RSI overbought / oversold confirmation
Optional Bollinger Band deviation filter
Clear BUY / SELL signals for reversal entries
Automatic SL / TP projection lines and price labels (individually toggleable)
Best suited for short-term reversal and scalp trades during high-volatility conditions.
All visual components can be enabled or disabled independently. be enabled or disabled independently.
XAUUSD Scalping D JoseAn indicator that signals trend changes and marks them on the chart with a sticker.
Trinity 4 EMA MTF IndicatorThis is a 5mins scalping indicator based on the daily, 1hr, 15mins and 5 mins TF. Go long or short when all EMA are aligned.
EMA values and timeframe can be customized
EMA colors can also be customized
Ale tonkis Swing failure + 5MIndicator Description: Ale Tonkis Swing Failure (SFP)
This script is an advanced Swing Failure Pattern (SFP) and Change in State of Delivery (CISD) indicator. It is designed to identify liquidity sweeps and market structure shifts across multiple timeframes simultaneously.
Key Features
Pivot Detection: Automatically identifies high and low pivot points based on a user-defined lookback period.
Liquidity Sweep Analysis: Detects when the price "sweeps" (goes beyond) a previous pivot high or low without closing significantly past it, signaling a potential reversal.
CISD (Change in State of Delivery): Tracks internal market structure shifts to confirm the SFP signal.
Multi-Timeframe (MTF) Dashboard: A real-time table in the top-right corner monitors the trend state across four different timeframes: M1, M3, M5, and M15.
Visual Alerts: The script uses dynamic bar coloring and labels (▲/▼) to signal entry points directly on the chart.
Technical Updates (M5 Integration)
The code has been specifically modified to include the 5-minute (M5) timeframe within the Multi-Timeframe logic:
Data Fetching: A new request.security call was added to retrieve the sfp_trend_state from the 5-minute interval.
Table Expansion: The display table was resized from 4 rows to 5 rows to accommodate the new data without overlapping.
UI Alignment: The M5 state is now positioned between M3 and M15, providing a smoother transition for traders analyzing mid-range scalping opportunities.
How to Read the Dashboard
LONG (Green): Indicates a bullish SFP has occurred and the trend remains positive on that timeframe.
SHORT (Red): Indicates a bearish SFP has occurred and the trend remains negative.
Empty/Black: No active SFP trend is currently detected on that specific timeframe.
[HFT] Leaky Bucket: FPGA-Based Order Flow SimulationDescription:
This indicator is a functional simulation of a hardware-based "Leaky Bucket" algorithm, typically used in FPGA (Field-Programmable Gate Array) chips for High-Frequency Trading (HFT) and network traffic shaping.
Unlike standard volume indicators (like OBV or CMF) that rely on floating-point Moving Averages (EMA/SMA), this script uses Bitwise Integer Math to simulate hardware registers. This approach removes the lag associated with smoothing and provides a raw, "tick-by-tick" representation of Order Flow exhaustion.
█ Underlying Concepts (How it works)
Integer Math & Bitwise Logic: The script eschews standard float calculations for int registers. Instead of division, it uses Bitwise Right Shift (>>) to simulate the "leak" rate. This mimics how hardware processes data streams with near-zero latency.
The Leaky Bucket Model:
Flow (Input): Volume * Price Delta flows into a "Bucket" (Accumulator Register).
Leak (Output): The bucket leaks at a constant rate determined by the Decay Shift.
Saturation: If the Flow > Leak, the bucket fills. We simulate a 32-bit integer saturation limit (sat_limit). When the bucket hits this limit, it represents "Panic Buying/Selling" — the market capability to absorb orders is saturated.
█ Uniqueness & Originality This is custom-built code, not a mashup of existing indicators. It translates hardware logic (Verilog/VHDL concepts) into Pine Script:
It introduces a "Saturation Warning" mechanism that detects when volume pressure exceeds mathematical limits.
It implements a "Gray Line" Strategy, focusing on volatility decay rather than momentum initiation.
█ How to Use: The "Gray Line" Strategy
This tool is designed for Mean Reversion and Exhaustion Trading, specifically on M1 to M5 timeframes.
Do NOT trade the breakout: When you see massive Green (Long) or Purple (Short) bars, this indicates "Extreme Momentum". Do not enter yet. Wait.
Wait for the "Gray Line": The signal is generated when the Extreme Momentum stops and the bar turns Gray (Neutral).
Signal L (Long): Generated when a sequence of Extreme Short bars (Purple) ends, and the histogram returns to Gray/Maroon. This confirms sellers are exhausted.
Signal S (Short): Generated when a sequence of Extreme Long bars (Green) ends, and the histogram returns to Gray/Teal. This confirms buyers are exhausted.
█ Disclaimer This script is intended for educational purposes regarding HFT algorithms and Order Flow analysis. It does not provide financial advice.
Apex Wallet - Ultimate Trend Meter: 9-in-1 Multi-Layer Momentum Overview The Apex Wallet Trend Meter is an advanced decision-making dashboard designed to provide a comprehensive view of market conditions without cluttering your main price chart. It synthesizes complex data from 9 different technical sources into a clean, horizontal visual grid, allowing traders to spot confluence at a single glance.
The Power of Confluence Instead of switching between multiple oscillators, this tool monitors:
Triple EMA Structure: Tracks Short, Medium, and Long-term trend directions.
Momentum Suite: Real-time status of RSI, Stochastic, and StochRSI.
Advanced Analyzers: Includes MACD (Line/Signal), TDI (Traders Dynamic Index), and the Andean Oscillator for trend exhaustion and volatility states.
Smart Delta Net: A sophisticated Volume Delta engine that filters market noise through customizable modes (Buy/Sell, Neutral, or Automatic).
Key Features:
Adaptive Trading Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading. The script automatically recalibrates all 9 indicator periods to fit your timeframe.
Market Bias Filtering: Indicators are color-coded based on their alignment with the global market trend. Signals only turn Bullish or Bearish when they align with the master trend EMA.
Dynamic Delta Grid: Displays scaled net volume values directly inside the grid for precise institutional flow tracking.
Fully Customizable UI: Toggle any layer on/off and adjust the layout density to match your workspace.
How to use: Look for "Vertical Confluence." When multiple layers turn the same color simultaneously, it indicates a high-probability momentum shift.
SuperTrend Filtered with Dash| Gold | ProjectSyndicate📘 ProjectSyndicate Filtered Supertrend M30 GOLD
✅ User Guide Optimized Settings for XAUUSD on M30
Indicator: Supertrend Filtered Gold
Version: 1.0
Author: ProjectSyndicate
Pine Script: v6
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1) 👋 Introduction
Welcome to ProjectSyndicate Filtered Supertrend, an upgraded, professional-grade Supertrend system built in Pine Script v6.
This version is designed specifically to help M30 GOLD (XAUUSD) traders reduce the most common Supertrend problem: false flips in chop / low volatility.
By adding 5 powerful filters (all optional + fully adjustable), this indicator aims to keep signals clean, selective, and trend-aligned — which is ideal for GOLD’s frequent fakeouts and liquidity sweeps. 🧠✨
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2) ⭐ Key Features What Makes It “Filtered”
✅ Pine Script v6 for speed and stability
✅ 5 Advanced Filters to reduce noise and false signals
✅ Full Customization (each filter can be turned ON/OFF)
✅ On-Chart Filter Dashboard to see what’s blocking signals in real time 📊
✅ Built-In Alerts (Buy / Sell / Direction Change) 🔔
✅ Conservative Defaults (high-quality signals out of the box)
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3) 🎛 Sensitivity Control Panel
This is where the magic happens. All enabled filters use AND logic meaning:
✅ A signal prints ONLY if every enabled filter passes.
If even one fails → signal is blocked 🚫
That’s why this system feels “smart” and selective (especially on GOLD M30).
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4.1) 📈 Trend Filter
Purpose: Blocks signals when price is drifting sideways (flat momentum).
How it works:
It checks the slope of a short-term EMA. If the EMA slope is too flat, the market is likely ranging → signals get blocked.
Recommended (M30 GOLD Optimized):
• ✅ Enable Trend Filter: ON
• ⏱ Trend Filter Period: 10
• 📏 Trend Strength Threshold (%): 0.05%
Tip for GOLD:
If you’re not getting signals during London/NY trend days, slightly lower the threshold (example 0.04%) to catch more moves. ⚡
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4.2) ✅ Signal Confirmation
Purpose: Stops “one-candle flips” and failed breakouts (very common on XAUUSD).
How it works:
It waits for the new trend direction to remain valid for X bars before confirming.
Recommended (M30 GOLD Optimized):
•✅ Enable Signal Confirmation: ON
•🧱 Confirmation Bars: 5
Behavior example:
• Confirmation = 5 → the signal prints on the 5th candle after trend changes
This reduces fakeouts, but signals appear later (more reliable, less early). 🎯
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4.3) 🌪 Volatility Filter
Purpose: Avoids signals during “dead” volatility phases (choppy micro-ranges).
How it works:
Measures percentage price movement over a period.
If movement is too small → no signals.
Recommended (M30 GOLD Optimized):
•✅ Enable Volatility Filter: ON
•⏱ Volatility Period: 20
•📉 Minimum Volatility Threshold: 0.25%
Tip:
If you trade only during active sessions (London/NY), you can raise this slightly to filter even harder (ex: 0.30%). 🔥
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4.4) 💪 ADX Filter
Purpose: Confirms the market is truly trending using ADX, a classic trend-strength tool.
How it works:
If ADX is below the threshold, the market is likely non-trending → signals blocked.
Recommended (M30 GOLD Optimized):
•✅ Enable ADX Filter: ON
•⏱ ADX Period: 14
•🎚 Minimum ADX Value: 25
Rule of thumb:
📌 ADX > 25 = trend conditions
📌 ADX < 20 = likely chop / mean-reversion
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4.5) 🧯 Signal Spacing Anti-Spam Filter
Purpose: Prevents overtrading by forcing a cooldown period between signals.
How it works:
It tracks bars since last BUY and since last SELL separately.
Recommended M30 GOLD Optimized:
•✅ Enable Signal Spacing: ON
•⏳ Minimum Bars Between Signals: 75
What 75 bars means on M30:
75 × 30 minutes = 2250 minutes = 37.5 hours
So this is intentionally strict (high quality / swing-style filtering). 🏦
If you want more signals:
Try 30–50 for active trend capture, still clean. ✅
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5) 📊 Filter Dashboard Read This First When Confused
The dashboard shows live status of each filter.
✅ PASS (Green) = filter condition met
❌ FAIL (Red) = filter is blocking signals
Dashboard also shows:
• 📏 Trend Strength (EMA slope %)
• 💪 ADX Value
• 🔁 Current Trend UPTREND / DOWNTREND
Pro Tip 🧠:
Not getting signals? Don’t guess. Look at the dashboard — it will instantly tell you which filter is failing.
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6) 🔔 Alerts Integration TradingView Alerts Ready
This indicator includes built-in alert conditions.
To set alerts:
1️⃣ Click Alert (top toolbar) or press Alt + A
2️⃣ In Condition, select Supertrend Advanced
3️⃣ Choose one:
📌 Alert Conditions
✅ SuperTrend Buy → Buy printed after all enabled filters PASS
✅ SuperTrend Sell → Sell printed after all enabled filters PASS
⚠️ SuperTrend Direction Change → raw Supertrend flip (ignores filters)
Recommended alert frequency:
✅ Once Per Bar Close (reduces noise + avoids repaint confusion)
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7) 🧠 Strategy & Best Practices M30 GOLD Focused
✅ Best Use Case
This Filtered Supertrend works best when GOLD is doing one of these:
•🏃 Strong session trend (London / NY continuation)
•🔁 Post-news directional expansion
•📈 Clean structure break + follow-through
🔥 Smart Trading Workflow (Simple + Effective)
✅ Use dashboard → wait for filters PASS
✅ Align with market structure (HH/HL for buys, LH/LL for sells)
✅ Use key zones:
•Support/Resistance 🧱
•Liquidity sweeps 💧
•Order Blocks / Supply-Demand (if you use them) 📦
🧪 Tune One Filter At A Time
When optimizing:
1.Reduce Signal Spacing first
2.Then reduce Confirmation Bars
3.Only then touch volatility / ADX / trend slope
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8) 🧩 Example Profiles Quick Presets
🥇 GOLD M30 “Optimized / Conservative” Recommended
•Trend Strength: 0.05%
•Confirmation Bars: 5
•Volatility Threshold: 0.25%
•ADX: 25
•Signal Spacing: 75
⚖️ Balanced More signals, still filtered
•Trend Strength: 0.05%
•Confirmation Bars: 2
•Volatility Threshold: 0.50%
•ADX: 25
•Signal Spacing: 10
⚡ Aggressive / Scalping Style
•Trend Strength: 0.03%
•Confirmation Bars: 1
•Volatility Threshold: 0.10%
•ADX: OFF
•Signal Spacing: 3
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🤝 Combining Filtered Supertrend + ProjectSyndicate Order Blocks Finder SMC Boost
For SMC traders, use Order Block Finder to map clean institutional supply/demand zones (bullish OB = last bearish candle before strong bullish displacement + BOS; bearish OB = last bullish candle before strong bearish displacement + BOS, with a displacement-strength filter and auto-cleanup) and then let Filtered Supertrend act as the “permission + timing” engine
✅only take Supertrend Buy signals when price is reacting from/returning into a bullish OB (demand) in an uptrend, and Supertrend Sell signals from a bearish OB (supply) in a downtrend; entries become higher probability because you’re stacking trend bias + institutional zone + confirmation filters, with clean risk defined by the OB boundary (stop beyond the box) and logical targets toward the next opposing OB or trend continuation
Order Block Finder | Gold | ProjectSyndicate
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9) 🧯 Troubleshooting
❓ “No signals are appearing”
Likely filters are too strict.
✅ Check dashboard → see which filter fails.
Try this order:
1.Lower Signal Spacing (75 → 50 → 30)
2.Lower Confirmation Bars (5 → 3 → 2)
3.Slightly reduce thresholds
❓ “Still too many signals”
Tighten filters:
✅ Confirmation Bars 3+
✅ Signal Spacing 100+
✅ Increase Trend Strength + ADX thresholds
❓ “Signals appear too late”
Reduce Confirmation Bars:
✅ 5 → 3 or 2
(earlier entries, slightly more risk of fakeouts)
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✅ Conclusion
ProjectSyndicate Filtered Supertrend turns a basic trend indicator into a high-control signal engine. On GOLD M30, where fakeouts and chop are common, the 5-filter AND logic + dashboard gives you a cleaner edge — especially when combined with structure and key zones. 📈💎
ICT Flow Matrix [Ultimate]📊 Overview
ICT Flow Matrix is a comprehensive, all-in-one Smart Money Concepts (SMC) indicator built for traders who follow ICT (Inner Circle Trader) methodology. This indicator consolidates over 15 institutional trading concepts into a single, highly customizable tool—eliminating chart clutter from multiple indicators while providing deep market structure analysis.
Whether you're identifying liquidity pools, tracking order flow, or timing entries during ICT Macro windows, this indicator delivers institutional-grade analysis directly on your chart.
Pro Tip: use with ICT Market Regime Detector for clear language reads on everything.
⚡ Key Features
🎯 Price Delivery Arrays (PDAs)
Fair Value Gaps (FVG) — Automatic detection with customizable mitigation tracking (Wick Touch, 50% CE, Full Close)
Inverse FVGs (iFVG) — Identifies when FVGs fail and flip, creating new tradeable zones
Order Blocks (OB) — Last opposing candle before impulsive moves with adjustable impulse strength
Breaker Blocks (BB) — Automatically generated when Order Blocks fail
Rejection Blocks (RB) — Strong wick rejections indicating institutional defense
Volume Imbalances (VIMB) — Gaps between candle bodies showing aggressive institutional activity
📐 Market Structure & Liquidity
Market Structure Shifts (MSS) — Real-time detection of bullish/bearish structure breaks
Equal Highs/Lows (EQH/EQL) — Liquidity pools where stop losses accumulate
Buy-Side/Sell-Side Liquidity (BSL/SSL) — Swing point liquidity levels with sweep detection
Premium/Discount Zones — Visual shading showing institutional buying/selling areas
OTE Zone (61.8%-79%) — Optimal Trade Entry zone for high-probability entries
⏰ Time-Based Analysis
ICT Macro Times — All nine 30-minute algorithmic windows (02:45, 03:45, 04:45, 09:45, 10:45, 13:45, 14:45, 15:15, 15:45 NY Time)
Killzone Sessions — Asia, London, NY AM, NY PM with customizable times
Session Opens — Weekly, Monthly, Daily opening prices
Previous Period H/L — PDH/PDL, PWH/PWL, PMH/PML levels
📏 Dealing Ranges
Multi-Timeframe Ranges — 21-Day, 3-Day, Daily dealing ranges
Session Ranges — Asia, London, NY dealing ranges with equilibrium
Fibonacci Structure — 0%, 50% (EQ), 100% levels with P/D shading
🕯️ HTF Orderflow
Higher Timeframe Candles — Display up to 6 HTF candles with auto-timeframe selection
Candle Timer — Countdown to next HTF candle close
O/H/L Reference Lines — Current HTF open, high, low levels extended on chart
🎨 Visual Customization
5 Theme Presets — Dark Pro, Light Clean, Neon, Classic, Custom
Full Color Control — Customize every element individually
Zone Styles — Filled or Border Only options
Mitigation Effects — Visual fade when zones are mitigated
📋 Smart Dashboard
Real-Time Status — Structure bias, zone position, active session, OTE status
Confluence Score — Algorithmic scoring when multiple concepts align
Zone Counters — Active FVG, OB, BB, RB, VIMB, liquidity levels
3 Display Modes — Minimal, Compact, Detailed
🔔 Comprehensive Alert System
40+ Alert Conditions including:
FVG/OB/BB/RB/VIMB formation
Liquidity sweeps (EQH, EQL, BSL, SSL)
Market Structure Shifts
OTE zone entry
Macro time windows
Session opens
High confluence zones
Combo alerts (Macro + Confluence)
📖 How To Use
For Swing/Position Traders:
Enable HTF Orderflow to identify dominant trend direction
Use Dealing Ranges (3D, 21D) to find premium/discount zones
Look for OB/FVG confluence in discount (longs) or premium (shorts)
Confirm with MSS for trend alignment
For Day/Intraday Traders:
Mark the Asian Range during pre-market
Wait for London or NY AM Killzone
Enter during ICT Macro windows when price reaches FVG/OB in OTE zone
Target opposite liquidity (BSL for longs, SSL for shorts)
Confluence Trading:
Dashboard shows real-time confluence score
Score ≥ 3 indicates multiple ICT concepts aligned
Higher scores = higher probability setups
⚙️ Recommended Settings
Trading Style FVG Max OB Max History Bars HTF Candles
Scalping 3-5 2-3 100-200 3-4 Day Trading 5-8 3-5 200-400 4-5
Swing Trading 8-12 5-8 400-800 5-6
🎯 Best Practices
✅ Do:
Use HTF bias before taking LTF entries
Wait for Macro time windows for highest probability
Combine MSS + FVG/OB + OTE for A+ setups
Let mitigated zones fade (use Mitigation Fade setting)
❌ Avoid:
Trading against HTF structure
Entries outside Killzones (lower probability)
Ignoring liquidity targets
Over-cluttering chart (disable unused features)
📝 Version History
v6.0 (Current)
Complete rewrite in PineScript v6
Added ICT Macro Times with bracket/background styles
Enhanced confluence detection algorithm
Improved HTF candle rendering with multiple styles
Added Inverse FVG detection
Session-based Dealing Ranges
Performance optimizations
40+ alert conditions
⚠️ Disclaimer
This indicator is a technical analysis tool designed to visualize ICT/SMC concepts. It does not provide financial advice or guarantee profitable trades. Past performance is not indicative of future results. Always use proper risk management and trade responsibly.
💬 Support & Feedback
If you find this indicator valuable, please leave a comment or boost! Your feedback helps improve future updates.
Questions? Drop a comment below—I actively respond to all questions about the indicator's features and usage.
Reversal Detection with Dynamic Stops - Multi-EMA ZigzagReversal Detection with Dynamic Stops - Multi-EMA Zigzag System
Description
Overview
The Reversal Detection with Dynamic Stops indicator is a comprehensive technical analysis tool that combines multiple exponential moving averages (EMAs) with an adaptive zigzag algorithm to identify significant price reversals and trend changes. This indicator is designed for active traders who need precise entry and exit signals with clear visual feedback.
Key Features
Multi-EMA Trend Detection
Triple EMA system (9, 14, 21 periods) provides robust trend identification
Dynamic bar coloring (Green = Bullish, Red = Bearish, Purple = Neutral)
Automated signal generation based on EMA alignment and price position
Adaptive Zigzag Algorithm
Configurable reversal detection using percentage, absolute value, or ATR-based thresholds
Choice between high/low or EMA-smoothed price input
Eliminates market noise while capturing significant price swings
Visual Reversal Markers
Bright, easy-to-read labels showing exact reversal prices with comma formatting
Horizontal reference lines extending from pivot points
Customizable line extension length (default 6 bars)
Labels positioned precisely at pivot highs and lows
Supply and Demand Zones (Optional)
Automatic identification of key support and resistance levels
Visual zone highlighting with translucent boxes
Configurable number of zones to display
How It Works
The indicator employs a two-stage analysis system:
Trend Identification: Three EMAs work together to determine the current market trend. When the 9 EMA is above the 14 EMA, which is above the 21 EMA, and price is above the 9 EMA, a bullish signal is generated. The inverse creates a bearish signal.
Reversal Detection: The zigzag algorithm tracks price extremes and confirms a reversal when price moves against the trend by a threshold amount (configurable as percentage, absolute value, or ATR multiple). Once confirmed, the indicator marks the pivot point with a label and horizontal line.
Recommended Settings by Timeframe
Scalping (1-5 minute charts)
Percentage Reversal: 0.5% - 1.0%
ATR Reversal: 1.5 - 2.0
Line Extension: 4-6 bars
Day Trading (15-60 minute charts)
Percentage Reversal: 1.0% - 1.5%
ATR Reversal: 2.0 - 3.0
Line Extension: 6-10 bars
Swing Trading (4H-Daily charts)
Percentage Reversal: 1.5% - 3.0%
ATR Reversal: 2.5 - 4.0
Line Extension: 10-20 bars
Input Parameters
Zigzag Settings
Method: Choose between "high_low" (actual candle extremes) or "average" (EMA-smoothed)
Percentage Reversal: Minimum percentage move to confirm reversal (default 0.01 = 1%)
Absolute Reversal: Minimum point move to confirm reversal (default 0.05)
ATR Reversal: ATR multiplier for dynamic threshold (default 2.0)
ATR Length: Period for ATR calculation (default 5)
Average Length: EMA smoothing period when using "average" method (default 5)
Visual Settings
Line Extension Bars: Number of bars to extend horizontal lines forward (default 6)
Show Supply/Demand: Toggle and style for supply/demand zones
Show Supply Demand Cloud: Enable translucent zone highlighting
EMA Settings (Fixed)
Fast EMA: 9 periods
Medium EMA: 14 periods
Slow EMA: 21 periods
Trading Applications
Entry Signals
Green reversal labels at bottoms indicate potential long entry points
Red reversal labels at tops indicate potential short entry points
Confirm with bar color alignment and overall trend direction
Exit Signals
Opposite color reversal labels suggest profit-taking opportunities
Bar color changes from green to purple or red signal weakening bullish momentum
Bar color changes from red to purple or green signal weakening bearish momentum
Stop Loss Placement
Horizontal lines serve as dynamic stop loss levels
Place stops just beyond the reversal pivot points
Adjust stops as new reversals are confirmed
Risk Management
Use multiple timeframe analysis for confirmation
Wait for bar color confirmation before entry
Avoid trading during conflicting signals (purple bars)
Best Practices
Multi-Timeframe Confirmation: Check higher timeframe trend before taking signals
Volume Verification: Combine with volume analysis for stronger confirmation
Market Context: Consider overall market conditions and key support/resistance levels
False Signals: During choppy, low-volume periods, increase reversal thresholds
Trending Markets: The indicator performs best in markets with clear trends and reversals
Alerts Available
Reversal Up: Triggers when bullish reversal is confirmed
Reversal Down: Triggers when bearish reversal is confirmed
Momentum Up: Triggers when bearish momentum weakens
Momentum Down: Triggers when bullish momentum weakens
Important Notes
This indicator repaints by design as it confirms reversals after price movement
Labels and lines are placed at historical pivot points when confirmed
The indicator works on all timeframes and markets (stocks, forex, crypto, futures)
Bar coloring provides continuous trend feedback independent of reversals
Adjust sensitivity based on volatility and timeframe
Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always conduct your own analysis, use proper risk management, and never risk more than you can afford to lose. Past performance does not guarantee future results. The indicator repaints by nature of its reversal detection algorithm - reversals are only confirmed after price has moved the threshold amount.
ATR Supertrend [QuantAlgo]🟢 Overview
The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement:
smoothedSource = ta.ema(source, smoothingPeriod)
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances:
if trend == 1
supertrend := math.max(supertrend, smoothedSource - atr)
else
supertrend := math.min(supertrend, smoothedSource + atr)
First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts.
Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance:
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position:
if trend == 1
if smoothedSource < supertrend
trend := -1
supertrend := smoothedSource + atr
The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends.
Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities
▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities
▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength
▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
PDH & PDL - Previous Day LevelsPDH & PDL – Previous Day High and Low
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on intraday charts.
These key levels are widely used by traders as important support and resistance zones, helping to identify potential areas for price reactions, breakouts, or liquidity grabs.
Features
Automatically detects the previous trading day’s high and low
Draws clear horizontal levels across the current session
Labels the levels as PDH and PDL
Updates in real time at the start of each new trading day
Designed for intraday timeframes
How to Use
Use PDH as a potential resistance level
Use PDL as a potential support level
Watch for breakouts, rejections, or retests around these levels
Combine with price action, volume, or session-based strategies
Best For
Day trading
Scalping
Forex, indices, crypto, and futures
Traders who use market structure and key levels
This indicator keeps your chart clean while highlighting two of the most important reference levels from the previous trading day.
