Prismatic Trend Matrix [JOAT]Prismatic Trend Matrix
Introduction
The Prismatic Trend Matrix is an advanced open-source multi-dimensional trend analysis system that combines Hull Moving Average, SuperTrend, ADX strength filtering, and moving average confluence into a unified trend detection engine. This indicator analyzes trend across multiple dimensions simultaneously, creating a prismatic view of market direction with gradient visualization that reveals trend strength and conviction.
Unlike single-indicator trend systems, the Prismatic Trend Matrix provides multi-layered trend intelligence through Hull MA smoothing, SuperTrend band analysis, ADX strength measurement, and EMA/SMA alignment detection. The indicator is designed for traders who understand that strong trends require confirmation across multiple analytical dimensions.
Why This Indicator Exists
This indicator addresses the need for comprehensive trend analysis that goes beyond simple moving averages. By combining four distinct trend methodologies with gradient visualization, it reveals:
Hull Moving Average: Weighted moving average with reduced lag for responsive trend detection
SuperTrend Component: ATR-based bands that identify trend direction and support/resistance
ADX Strength Filter: Measures trend strength to separate strong trends from weak/choppy conditions
Moving Average Matrix: Three EMAs and two SMAs create alignment-based trend confirmation
Trend Classification: Five-state system (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear)
Counter-Trend Detection: Identifies potential reversals when price moves against established trend
Prismatic Gradient: Visual fill between Hull MA and SuperTrend shows trend intensity
Core Components Explained
1. Hull Moving Average (HMA)
The Hull MA uses weighted moving averages to create a smooth trend line with minimal lag:
The calculation involves three steps:
Step 1: Calculate WMA of half-length period
Step 2: Calculate WMA of full-length period
Step 3: Calculate WMA of the difference using square root of length
The result is a moving average that responds quickly to price changes while maintaining smoothness. The indicator applies additional EMA smoothing (default 3 periods) to reduce noise.
2. SuperTrend Calculation
SuperTrend uses ATR-based bands to identify trend direction:
Source: Average of high and low (HL2)
Upper Band: Source + (ATR × Factor)
Lower Band: Source - (ATR × Factor)
Direction: Bullish when close > upper band, bearish when close < lower band
Three modes control band adjustment:
Strict Mode: Bands adjust only when price crosses or previous band is breached
Quick Mode: Bands adjust when price crosses previous band
Quicker Mode: Bands adjust immediately with price
SuperTrend provides dynamic support/resistance levels that adapt to volatility.
3. ADX Strength Measurement
The Average Directional Index measures trend strength:
DI+ (Directional Indicator Plus): Measures upward directional movement
DI- (Directional Indicator Minus): Measures downward directional movement
ADX: Smoothed average of the difference between DI+ and DI-, normalized
Threshold: ADX above threshold (default 25) indicates strong trend
Rising ADX: Indicates strengthening trend momentum
ADX filters out weak trends and choppy conditions, ensuring signals occur only during strong directional movement.
4. Moving Average Matrix
Five moving averages create a trend alignment system:
Fast EMA (9): Short-term trend direction
Medium EMA (21): Intermediate trend direction
Slow EMA (50): Primary trend direction
Fast SMA (50): Smoothed primary trend
Slow SMA (200): Long-term institutional trend
Alignment is measured by comparing the order of these averages:
Bullish Alignment: EMA9 > EMA21 > EMA50 > SMA50 (all in ascending order)
Bearish Alignment: EMA9 < EMA21 < EMA50 < SMA50 (all in descending order)
Mixed Alignment: Averages not in order (choppy or transitional conditions)
Perfect alignment indicates strong institutional conviction in the trend direction.
5. Composite Trend Classification [/b>
The indicator combines all components into a five-state trend classification:
Strong Bull (State 2): Hull rising + SuperTrend bullish + MA alignment bullish + ADX strong
Weak Bull (State 1): Hull rising + (SuperTrend bullish OR MA alignment bullish)
Sideways (State 0): Mixed signals or weak trend conditions
Weak Bear (State -1): Hull falling + (SuperTrend bearish OR MA alignment bearish)
Strong Bear (State -2): Hull falling + SuperTrend bearish + MA alignment bearish + ADX strong
This classification provides clear trend assessment at a glance.
6. Counter-Trend Detection [/b>
The indicator identifies potential reversals when price moves against established trend:
Counter-Trend Bull: Trend state neutral/bearish + close > open + price rising + DI+ > DI- + close > Hull + ADX > 20
Counter-Trend Bear: Trend state neutral/bullish + close < open + price falling + DI- > DI+ + close < Hull + ADX > 20
Counter-trend signals include anti-overlap logic to prevent signal clustering and ensure clean placement.
7. Prismatic Gradient Visualization
The indicator creates a gradient fill between Hull MA and SuperTrend:
Gradient Layers: Multiple intermediate values calculated between Hull and SuperTrend (default 15 layers)
Color Intensity: Transparency increases from Hull (solid) to SuperTrend (transparent)
Dynamic Coloring: Gradient color matches trend state (green = bullish, red = bearish, cyan = sideways)
Visual Effect: Creates a glowing prismatic effect that emphasizes trend strength
The gradient provides intuitive visual feedback on trend intensity and direction.
8. Platform Levels
Platform levels are horizontal lines at the current Hull MA value:
Extension: Lines extend forward and backward from current bar (default 7 bars each direction)
Color Coding: Platform color matches current trend state
Purpose: Provides visual reference for potential support/resistance at Hull MA level
Platforms help identify key levels where price may find support or resistance.
Visual Elements
Hull Trend Line: Thick line (3px) with regime-based coloring showing primary trend
SuperTrend Line: Medium line (2px) with step-line style showing dynamic support/resistance
EMA Matrix: Three thin lines showing fast, medium, and slow EMAs with transparency
Prismatic Gradient: Multi-layer fill between Hull and SuperTrend creating glow effect
Platform Levels: Horizontal lines at Hull MA value extending forward/backward
Counter-Trend Signals: Triangles marking potential reversal points
Background Coloring: Subtle background tint for strong bull/bear states
Information Dashboard: Displays trend state, Hull direction, ADX strength, momentum, alignment, SuperTrend, DI balance, price vs Hull, gradient zone, counter-trend status, and signal
How to Use This Indicator
Step 1: Check Trend State
Monitor the dashboard for current trend state (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear). Trade in the direction of strong states.
Step 2: Verify ADX Strength
Ensure ADX is above threshold (default 25) for strong trends. Low ADX indicates choppy conditions - avoid trend-following strategies.
Step 3: Confirm MA Alignment
Check if moving averages are aligned (Bullish/Bearish/Mixed). Perfect alignment confirms institutional conviction.
Step 4: Monitor Hull Direction
Hull rising = bullish bias, Hull falling = bearish bias. Hull provides the primary trend direction signal.
Step 5: Use SuperTrend for Support/Resistance
SuperTrend line acts as dynamic support in uptrends and resistance in downtrends. Breaks of SuperTrend warn of trend changes.
Step 6: Watch for Counter-Trend Signals
Counter-trend signals at extreme levels may indicate reversals. Use these cautiously and confirm with other factors.
Step 7: Assess Gradient Zone
Price in upper gradient zone (near Hull) = strong trend, price in lower zone (near SuperTrend) = weak trend or potential reversal.
Best Practices
Trade only in Strong Bull or Strong Bear states for highest probability
Avoid trading in Sideways state - wait for clear trend establishment
Use ADX as a filter - only trade when ADX > 25 for strong trends
Confirm trend with MA alignment before entering positions
Use SuperTrend as trailing stop level in trending markets
Counter-trend signals work best at extreme levels with divergence
Monitor gradient zone - price near SuperTrend may indicate trend exhaustion
Combine with higher timeframe trend for additional confirmation
Input Parameters
Hull Trend Engine:
Hull Length: Period for Hull MA calculation (default: 20)
Hull Smoothing: Additional EMA smoothing (default: 3)
SuperTrend Layer:
ATR Period: Period for ATR calculation (default: 10)
ATR Factor: Multiplier for band width (default: 3.0)
Mode: Strict, Quick, or Quicker (default: Quick)
Trend Strength:
ADX Length: Period for ADX calculation (default: 14)
ADX Smoothing: Smoothing period for ADX (default: 14)
Strength Threshold: Minimum ADX for strong trend (default: 25)
MA Matrix:
Fast EMA: Short-term EMA (default: 9)
Medium EMA: Intermediate EMA (default: 21)
Slow EMA: Primary EMA (default: 50)
Fast SMA: Smoothed primary (default: 50)
Slow SMA: Long-term institutional (default: 200)
Visual Configuration:
Bullish/Bearish Trend Colors: Customizable colors for trend states
Sideways/Weak Trend Colors: Colors for neutral and weak states
Gradient Layers: Number of gradient fills (default: 15)
Show Platforms: Toggle platform level display (default: enabled)
Platform Extension: Bars to extend platforms (default: 7)
Originality Statement
This indicator is original in its multi-dimensional trend approach. While individual components (Hull MA, SuperTrend, ADX, EMAs) are established concepts, this indicator is justified because:
It combines four distinct trend methodologies into a unified classification system
The five-state trend classification provides clear trend assessment
Prismatic gradient visualization creates intuitive trend intensity display
Counter-trend detection with anti-overlap logic identifies potential reversals
MA alignment analysis measures institutional conviction
Integration of Hull MA smoothness with SuperTrend adaptability creates balanced trend detection
The comprehensive dashboard presents all trend dimensions simultaneously
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Trend analysis does not guarantee profitable trades. Past trends do not guarantee future trends. Always use proper risk management and never risk more than you can afford to lose.
-Made with passion by officialjackofalltrades Indicator
Quantum RCI [Adaptive + Jurik Signal]Quantum RCI
Overview:
The Rank Correlation Index (RCI) is a phenomenal momentum oscillator, but it suffers from a fatal flaw: lag. Because it measures the correlation between price and time (rather than absolute price changes), applying standard Simple Moving Averages (SMAs) to generate crossover signals results in entering trades long after the institutional move has already started.
The Quantum RCI solves this by fusing the smooth, structural ranking math of the RCI with institutional-grade digital signal processing and dynamic volatility filters.
Core Engine Upgrades:
Zero-Lag Jurik Signal Line: We stripped out the lagging SMA and replaced it with a Jurik Moving Average (JMA). Using spatial phase-shifting, the JMA tracks the RCI with virtually zero lag, providing razor-sharp, exact-moment crossover signals.
Adaptive Bollinger Bands: Instead of static bands, the oscillator is wrapped in Bollinger Bands driven by Kaufman’s Efficiency Ratio (ER). During tight chop, the bands expand to prevent false breakouts. During strong directional trends, the bands tighten to catch the momentum instantly.
Kinetic ADX Gradient: No more staring at a secondary ADX pane. The built-in ADX engine runs silently in the background and dynamically drives the color of the RCI line. Gray indicates weak, choppy chop. Neon Cyan/Magenta visually confirms that institutional momentum has stepped on the gas.
How to Trade It:
Wait for the RCI line to drop outside the Adaptive Bollinger Bands while gray (weak trend). When institutional volume enters, the ADX will trigger the neon gradient, and the RCI will cross the zero-lag Jurik Signal line to snap back inside the bands. That is your macro green light.
⚠️ DISCLAIMER: STRICTLY FOR EDUCATIONAL PURPOSES
The information, scripts, and concepts provided in this publication are for educational and informational purposes only and do not constitute financial, investment, or trading advice. Trading in financial markets (including Forex, Crypto, Stocks, and Commodities) carries a high level of risk and may not be suitable for all investors. You could lose some or all of your initial investment. Past performance is not indicative of future results. Always conduct your own due diligence, backtest any strategy thoroughly, and consult with a certified financial advisor before making any trading decisions. By using this script, you acknowledge that you are solely responsible for your own trading actions and outcomes. Indicator
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Regime Classifier [JOAT]Regime Classifier
Introduction
The Regime Classifier is a sophisticated market state detection system designed to identify and classify market conditions into distinct operational regimes. Understanding the current market regime is perhaps the most critical factor in successful trading - a strategy that works beautifully in a trending market will fail miserably in a ranging market, and vice versa. This indicator solves that fundamental problem by providing clear, actionable classification of market states, allowing traders to adapt their approach to current conditions.
This tool is built for traders who understand that markets are not random but move through distinct phases, each requiring different strategies and risk management approaches. Whether you're a systematic trader needing regime filters, a discretionary trader seeking market context, or a portfolio manager adjusting exposure, this classifier provides the institutional-grade market intelligence needed to navigate any market environment successfully.
Why This Indicator Exists
Most traders apply the same strategy regardless of market conditions, then wonder why their performance is inconsistent. This indicator addresses that critical flaw by:
Regime Classification: Identifies four distinct market states with clear characteristics
Regime Strength: Measures how strongly the market exhibits regime characteristics
Regime Persistence: Tracks how long the current regime has been in place
Regime Quality: Evaluates the reliability of the current regime classification
Session Awareness: Considers session context for regime analysis
Regime Transitions: Detects and signals regime changes for strategy adaptation
The classifier transforms the complex, often subjective process of market analysis into an objective, systematic framework that can be consistently applied across all instruments and timeframes.
Core Components Explained
1. ADX-Based Trend Detection
The Average Directional Index (ADX) is the primary tool for trend detection:
// ADX calculation
float atr_val = ta.rma(ta.tr(true), i_adx_period)
float up_move = high - high
float down_move = low - low
float plus_dm = up_move > down_move and up_move > 0 ? up_move : 0
float minus_dm = down_move > up_move and down_move > 0 ? down_move : 0
float plus_di = 100 * ta.rma(plus_dm, i_adx_period) / atr_val
float minus_di = 100 * ta.rma(minus_dm, i_adx_period) / atr_val
float adx = 100 * ta.rma(math.abs(plus_di - minus_di) / (plus_di + minus_di), i_adx_period)
ADX components:
ADX Value: Trend strength (0-100), regardless of direction
+DI: Bullish directional movement
-DI: Bearish directional movement
Trend Threshold: Minimum ADX for trend classification (default 25)
Directional Bias: +DI vs -DI for trend direction
ADX above 25 indicates a trending market, while below 25 suggests ranging or volatile conditions.
2. ATR-Based Volatility Analysis
The Average True Range (ATR) measures volatility and helps distinguish between different non-trending states:
// ATR analysis
float atr_current = ta.atr(i_atr_period)
float atr_average = ta.sma(atr_current, i_atr_period * 3)
float atr_ratio = atr_average > 0 ? atr_current / atr_average : 1.0
// Volatility thresholds
float expansion_threshold = i_atr_expansion_mult
float contraction_threshold = i_atr_contraction_mult
ATR components:
Current ATR: Recent volatility measurement
Average ATR: Long-term volatility baseline
ATR Ratio: Current volatility relative to average
Expansion Threshold: Ratio indicating high volatility (default 1.4)
Contraction Threshold: Ratio indicating low volatility (default 0.6)
ATR analysis helps distinguish between ranging (low volatility) and volatile (high volatility) markets when ADX is below the trend threshold.
3. Regime Classification Logic
The indicator classifies markets into four distinct regimes:
// Regime classification
int market_regime = 0
if adx >= i_adx_trend
market_regime := 1 // Trending
else if atr_ratio >= expansion_threshold and adx < i_adx_trend
market_regime := 3 // Volatile
else if atr_ratio <= contraction_threshold and adx < i_adx_trend
market_regime := 2 // Ranging
else
market_regime := 0 // Neutral
Regime types:
Trending (ADX ≥ 25): Strong directional movement with clear trend
Ranging (ADX < 25, ATR ratio ≤ 0.6): Low volatility, sideways movement
Volatile (ADX < 25, ATR ratio ≥ 1.4): High volatility, erratic movement
Neutral (ADX < 25, 0.6 < ATR ratio < 1.4): Transition between defined states
Each regime has distinct characteristics that require different trading approaches.
4. Regime Strength Measurement
Not all regimes are created equal - some are stronger and more reliable than others:
// Regime strength calculation
float regime_strength = 0.0
switch market_regime
1 => regime_strength := math.min(adx / 50.0 * 100, 100) // Trending strength
2 => regime_strength := math.min((1 - atr_ratio) / (1 - contraction_threshold) * 100, 100) // Ranging strength
3 => regime_strength := math.min((atr_ratio - 1) / (expansion_threshold - 1) * 100, 100) // Volatile strength
0 => regime_strength := 50.0 // Neutral default
Strength interpretation:
Trending Strength: Based on ADX value (higher ADX = stronger trend)
Ranging Strength: Based on how low volatility is (lower ATR = stronger range)
Volatile Strength: Based on how high volatility is (higher ATR = stronger volatility)
Neutral Strength: Fixed at 50% as baseline
Strength Range: 0-100% indicating regime confidence
Higher strength values indicate more reliable regime classification.
5. Regime Persistence Analysis
The duration of a regime provides additional context about its reliability:
// Regime persistence tracking
var int regime_bars = 0
var int regime_start_bar = 0
if market_regime == market_regime
regime_bars := regime_bars + 1
else
regime_bars := 1
regime_start_bar := bar_index
// Persistence score
float persistence_score = math.min(float(regime_bars) / i_persistence_lookback * 100, 100)
Persistence features:
Regime Bars: Number of consecutive bars in current regime
Regime Start: When the current regime began
Persistence Score: Normalized duration (0-100%)
Lookback Period: Reference period for normalization (default 50)
Mature Regimes: Higher persistence indicates established conditions
Long-lasting regimes are more reliable than newly formed ones.
6. Regime Quality Assessment
Quality evaluates how well the current market fits the regime characteristics:
// Quality assessment
float quality_score = 0.0
float adx_quality = adx / 50.0 * 50 // 50% weight
float atr_quality = market_regime == 2 ? (1 - atr_ratio) / (1 - contraction_threshold) * 50 :
market_regime == 3 ? (atr_ratio - 1) / (expansion_threshold - 1) * 50 : 25
quality_score := adx_quality + atr_quality
Quality components:
ADX Quality: How well trend strength matches regime expectations
ATR Quality: How well volatility matches regime expectations
Quality Score: Combined assessment (0-100%)
High Quality: Clear regime characteristics
Low Quality: Ambiguous or transitioning conditions
High quality scores indicate clear, unambiguous market conditions.
7. Session Context Integration
Market behavior varies significantly across trading sessions:
// Session analysis
bool asian_session = time(timeframe.period, "0000-0800")
bool london_session = time(timeframe.period, "0700-1600")
bool ny_session = time(timeframe.period, "1200-2100")
// Session-specific adjustments
float session_multiplier = 1.0
if london_session
session_multiplier := 1.2 // Higher volatility expected
else if asian_session
session_multiplier := 0.8 // Lower volatility expected
Session features:
Session Detection: Identifies major trading sessions
Session Multipliers: Adjusts expectations based on session characteristics
Session Persistence: Tracks regime duration within current session
Session Quality: Evaluates regime quality within session context
Session Transitions: Identifies regime changes at session opens/closes
Session context helps interpret regime changes and anticipate behavior.
Visual Elements
Regime Histogram: Color-coded bars showing current regime
Strength Meter: Visual representation of regime strength
Persistence Line: Shows regime duration over time
Quality Gauge: Quality score visualization
Background Colors: Regime-based background shading
Session Markers: Visual session boundaries
Dashboard: Real-time regime metrics
Transition Alerts: Visual regime change notifications
The dashboard displays:
1. Current market regime and confidence
2. Regime strength and persistence
3. Quality score and trend direction
4. Session context and behavior
5. Regime history and transitions
6. Recommended strategies for current regime
7. Risk management adjustments
8. Regime forecast based on patterns
Input Parameters
ADX Settings:
ADX Period: Trend strength calculation (default: 14)
Trend Threshold: Minimum ADX for trend regime (default: 25)
ADX Smoothing: Additional smoothing for ADX (default: 3)
ATR Settings:
ATR Period: Volatility calculation (default: 14)
Expansion Multiplier: High volatility threshold (default: 1.4)
Contraction Multiplier: Low volatility threshold (default: 0.6)
Analysis Settings:
Persistence Lookback: Reference for persistence score (default: 50)
Quality Smoothing: Smoothing for quality calculation (default: 5)
Session Awareness: Enable session analysis (default: true)
Visual Settings:
Color Scheme: Customizable regime colors
Background Shading: Enable regime backgrounds
Dashboard Display: Show metrics panel
Alert Settings: Configure regime change alerts
How to Use This Indicator
Step 1: Identify Current Regime
Check the dashboard for the current market regime. Each regime requires a different approach:
Trending: Use trend-following strategies, let winners run
Ranging: Use mean-reversion strategies, take profits at levels
Volatile: Reduce position size, use wider stops, or avoid trading
Neutral: Wait for clarity, reduce trading activity
Step 2: Assess Regime Strength
Higher strength indicates more reliable conditions. In strong regimes (80%+), you can be more aggressive with position sizing. In weak regimes (<50%), reduce exposure and wait for confirmation.
Step 3: Monitor Persistence
Newly formed regimes (<10 bars) may be false signals. Mature regimes (>20 bars) are more established and reliable. Consider regime persistence in your strategy selection.
Step 4: Evaluate Quality
High quality scores (>75%) indicate clear market conditions. Low quality scores (<50%) suggest ambiguity - reduce trading or wait for clarity.
Step 5: Consider Session Context
Regimes that persist across multiple sessions are more significant. Regime changes at session opens often set the tone for the session.
Step 6: Watch for Transitions
Regime transitions signal strategy changes. A shift from trending to ranging requires switching from trend-following to range-bound strategies.
Best Practices
Always adapt your strategy to the current regime - don't use a trending strategy in ranging markets
High strength + high quality = maximum confidence in regime classification
Low persistence regimes (<10 bars) may be false - wait for confirmation
Session transitions often trigger regime changes - be alert at session opens
Volatile regimes are dangerous for most traders - consider reducing activity
Regime persistence is key - the longer a regime persists, the more reliable it is
Quality scores below 50% suggest waiting for clarity
Combine regime analysis with your existing strategy for better results
Keep a regime journal to track how each instrument behaves in different regimes
Use regime transitions as signals to adjust your entire trading approach
Strategy Applications by Regime
Trending Regime:
Trend-following strategies (moving averages, ADX, momentum)
Let winners run to maximum targets
Use trailing stops to capture extended moves
Add to positions on pullbacks in trend direction
Higher position sizing due to clear direction
Ranging Regime:
Mean-reversion strategies (RSI, Stochastic, Bollinger Bands)
Take profits at support/resistance levels
Use fixed targets - don't let winners turn into losers
Fade extreme moves toward the range middle
Smaller position sizing due to limited moves
Volatile Regime:
Reduce position size significantly (50% or less)
Use wider stops to avoid premature exits
Consider sitting out until conditions improve
Focus on volatility breakout patterns if trading
Quick profit taking - volatile conditions reverse quickly
Neutral Regime:
Wait for clarity before taking new positions
Manage existing positions more actively
Reduce trading frequency
Look for regime transition signals
Focus on longer timeframe analysis for direction
Technical Implementation
Built with Pine Script v6 featuring:
Advanced ADX calculation with directional movement analysis
Multi-timeframe ATR analysis for volatility assessment
Regime classification with confirmation logic
Strength, persistence, and quality scoring systems
Session awareness with timezone handling
Comprehensive visualization with multiple display modes
Real-time dashboard with 10 key metrics
Alert conditions for regime changes and thresholds
Export functions for strategy integration
Historical regime tracking and pattern recognition
The code uses confirmed bars for all calculations to prevent repainting and ensure reliable regime classification.
Originality Statement
This indicator is original in its comprehensive approach to regime classification and market state analysis. While ADX and ATR are established tools, this indicator is justified because:
It synthesizes trend and volatility analysis into a unified regime classification system
The strength, persistence, and quality scoring provides multi-dimensional regime assessment
Session awareness adds critical context often missing from regime analysis
Regime transition detection helps traders adapt strategy changes proactively
The four-regime classification (Trending, Ranging, Volatile, Neutral) covers all market states
Quality assessment helps distinguish between clear and ambiguous market conditions
Persistence analysis identifies mature, reliable regimes versus new, potentially false ones
Comprehensive visualization makes complex regime analysis accessible and actionable
Export functions enable regime-based strategy filtering and adaptation
Each component provides unique insights: ADX shows trend, ATR shows volatility, strength shows conviction, persistence shows duration, and quality shows clarity
The indicator's value lies in transforming the abstract concept of "market conditions" into concrete, actionable classifications that traders can use to adapt their strategies systematically and consistently.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Regime classification is a tool for understanding market conditions, not a prediction system.
Market regimes can change suddenly due to news events, economic data, or changes in market structure. Past regime behavior does not guarantee future patterns. The indicator's classifications are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis.
Always use proper risk management, including stop losses and position sizing appropriate for current market conditions. Different regimes require different risk approaches - volatile regimes may require smaller positions and wider stops.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system.
-Made with passion by officialjackofalltrades
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ADX SuperTrend | RakoQuantADX SuperTrend by RakoQuant is a volatility-based trend system that adapts dynamically to market regime strength using ADX.
Instead of running a fixed SuperTrend multiplier across all conditions, this tool uses trend strength (ADX) to scale the ATR multiplier in real-time:
* Low trend strength → tighter bands (more responsive)
* High trend strength → wider bands (more stable, fewer whipsaws)
This makes it ideal for traders who want a SuperTrend that becomes more forgiving in real trends and more reactive in chop, without switching indicators.
RakoQuant Architecture
1. Baseline + ATR Framework (SuperTrend Core)
The system uses a clean and familiar SuperTrend foundation:
* EMA Baseline for structure
* ATR for volatility
* Classic trailing-band logic to maintain trend continuity
This ensures the indicator remains consistent, backtestable, and strategy-friendly.
2. ADX Adaptive Multiplier Engine (The Edge)
The key feature is the ADX-driven multiplier boost.
ADX is normalized into a 0..1 scale between a user-defined floor and ceiling:
* Below ADX Floor → treated as weak/no trend
* Above ADX Ceiling → treated as max trend strength
That normalized value is then transformed with a power curve and mapped into a multiplier scaling range:
Effective Multiplier = Base Multiplier × Scale(ADX)
Where Scale is capped by Max Boost and shaped by Boost Power.
This gives you a controllable “adaptive stability” system:
* Smooth and stable during real trends
* Fast and sensitive when the market is indecisive
3. Optional Momentum Confirmation
To reduce low-quality flips, the script includes an optional momentum gate:
* Baseline slope normalized by ATR
* Requires slope strength alignment before confirming a flip
This helps suppress false transitions that occur from volatility spikes without trend structure.
Signal Model (Backtest-Ready)
ADX SuperTrend uses the standard RakoQuant state logic:
* Bullish Regime when SuperTrend is in bullish mode (dir < 0)
* Bearish Regime when SuperTrend is in bearish mode (dir > 0)
Clear state flips are produced:
* Bull Flip → trend turns UP
* Bear Flip → trend turns DOWN
Signals are designed for:
* Strategy conversion
* Consistent backtests
* Alert automation
Visual System (Open-Source Friendly)
ADX SuperTrend includes a lightweight visual framework:
* Multiple palettes (RakoQuant Neon, Classic, Gold/Indigo, Ocean/Coral, Mono)
* Line style options (Line Break / Line / Step)
* Multi-layer glow (outer + inner)
* Optional fill (to mid or to price)
* Candle painting toggle
* Marker style toggle (Labels / Triangles / Off)
Everything is modular and can be disabled if you want “signals-only” behavior.
Practical Use Cases
Trend Traders
* Use adaptive widening to avoid premature exits in strong trends.
Chop Filtering
* Use ADX floor/ceiling logic to reduce whipsaws and tighten reaction.
System Builders
* Works cleanly inside larger confluence systems.
* State variable and flip signals map directly to backtest engines.
Design Philosophy (RakoQuant)
This indicator follows the RakoQuant approach:
* Adaptive behavior > static parameters
* Regime-sensitive risk control > fixed multipliers
* Trend strength drives volatility allowance
* Clean outputs built for backtesting
Chart Example
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Adaptive Channel Breakout [MarkitTick]💡 This script is a trend-following system designed to identify high-probability breakout opportunities while rigorously filtering out market noise. By synthesizing volatility (ATR), trend strength (ADX), and price extremes (Donchian logic), this indicator attempts to solve the classic problem of false breakouts in ranging markets. It features a regime-detection engine that dynamically adjusts the visual feedback and signal generation based on whether the market is trending or consolidating.
✨ Originality and Utility
Most breakout indicators rely solely on price crossing a fixed threshold (like a 20-day High). However, these systems often fail in "choppy" markets where price seeks liquidity above highs before reversing. This script innovates by:
Volatility-Adjusted Bounds: It does not simply track the Highest High or Lowest Low. Instead, it retracts the channel bounds by a multiple of the Average True Range (ATR). This creates a "tightened" breakout requirement—price must not only make a new high but do so with enough momentum to overcome the volatility threshold. Regime Filtering: Integrated ADX/DMI logic categorizes the market into Bull, Bear, or Range. Signals are filtered to align with the dominant regime (e.g., no Longs are permitted if the internal structure is Bearish). Logarithmic Scaling: A unique feature allowing calculations to be performed on Logarithmic price data, making it highly suitable for parabolic assets like Crypto or small-cap stocks where linear percentage moves vary drastically. Time-Based Exits: Recognizes that "stale" trades—those that do not perform immediately—often turn into losses, and provides visual cues to exit if momentum stalls.
🔬 Methodology and Concepts
The core logic operates on a three-stage pipeline:
1. Market Regime Classification The script utilizes the Directional Movement Index (DMI) and Average Directional Index (ADX) to determine the state of the market. Trending: Defined as ADX > Threshold (default 25). Range: Defined as ADX < Threshold. Direction: Determined by the relationship between DI+ and DI-.
2. Adaptive Channel Construction The channels are calculated using a modified Donchian/ATR hybrid approach: Upper Band: Highest High (N) minus (ATR × Multiplier) . Lower Band: Lowest Low (N) plus (ATR × Multiplier) . Note: By subtracting ATR from the High, the Upper Band acts as a trailing resistance level that gets closer to price as volatility decreases, allowing for earlier entries during volatility squeezes.
3. Signal Generation & Filtering Long Signal: Price crosses over the Upper Band, provided the market is in a Bull or Range regime. Short Signal: Price crosses under the Lower Band, provided the market is in a Bear or Range regime. Stale Exit: If a signal is generated but price fails to reverse or progress significantly within a user-defined bar limit (default 10), a "Time Exit" warning is triggered.
🎨 Visual Guide
The indicator is designed for immediate visual interpretation through color-coding and dashboard analytics.
● Channel Bands Upper Line: Represents the dynamic resistance/breakout level. Lower Line: Represents the dynamic support/breakout level. Color Logic: Gray: Indicates the opposing side of the trend (e.g., Upper band is gray during a downtrend). Green: Active Upper Band during a Bullish phase. Red: Active Lower Band during a Bearish phase.
● Background Fills (Market Regime) The space between the channels is filled to indicate the current market state: Green Fill: Bullish Trend (ADX High, DI+ > DI-). Red Fill: Bearish Trend (ADX High, DI- > DI+). Yellow Fill: Range/Accumulation (ADX Low). Breakouts from Yellow zones are often the most explosive.
● Signal Shapes Green Triangle (Below Bar): Valid Long Breakout Signal. Red Triangle (Above Bar): Valid Short Breakout Signal. Orange "X" (Below Bar): Time Exit/Stale Trade. Indicates the trade has not progressed after N bars.
● Dashboard (Top Right) A table displaying real-time metrics: Market Regime: Explicitly states TREND (Bull/Bear) or RANGE. Volatility: Displays the current ATR value. ADX Strength: Shows the ADX value, highlighting it in white if it is above the trending threshold.
📖 How to Use
For Trend Following Wait for the background color to transition from Yellow (Range) to Green (Bull) or Red (Bear). This signifies a volatility expansion from a consolidation period. Enter on the corresponding Triangle signal.
For Risk Management Stop Loss: The script calculates suggested Stop Losses (SL) based on the opposite channel band. Stale Exits: If you see an Orange "X" appear after entering a trade, consider closing the position or tightening stops, as the momentum impulse has faded.
For Crypto/Parabolic Assets Enable the "Use Logarithmic Scale" setting in the inputs. This normalizes the volatility calculations, preventing the bands from becoming too wide during exponential price increases.
⚙️ Inputs and Settings
Adaptive Parameters Lookback Length (20): The period for High/Low and ATR calculations. ATR Multiplier (3.2): Determines the width of the channel. Higher values reduce false signals but delay entry. (3.2 is tuned for outlier detection). Use Logarithmic Scale: Toggles math.log() calculations for High, Low, and Close.
Filters & Exits ADX Threshold (25): The level at which the market is considered "Trending." Time Exit (Bars) (10): The number of bars allowed for a trade to "work" before being flagged as stale.
UI / Dashboard Show Analytics Dashboard: Toggles the on-screen information table. Size: Adjusts the text size of the dashboard (Tiny, Small, Normal).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
1. Outlier Detection Theory The script uses an ATR Multiplier of 3.2. In normal statistical distributions, 3 standard deviations cover 99.7% of data points. While financial markets are leptokurtic (fat-tailed), a multiplier of 3.2 on the ATR effectively acts as an outlier filter. A breach of this band signifies a price movement that is statistically significant relative to recent noise, suggesting a structural shift in supply/demand rather than random variance.
2. Heteroscedasticity Handling By including a Logarithmic option, the script addresses heteroscedasticity—the phenomenon where the variability of a variable is unequal across the range of values. In simpler terms, a $100 move in Bitcoin at $1,000 is different from a $100 move at $60,000. Using log-returns (math.log) ensures the channel width remains proportionally relevant regardless of the asset's absolute price level.
3. Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX serves as a filter for "Trend Efficiency." Breakout systems suffer drawdown in mean-reverting markets. By mathematically requiring ADX > 25, the model attempts to trade only when the autocorrelation of price changes is positive (trending behavior), thereby increasing the expectancy of the breakout signal.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Momentum ChecklistMomentum Checklist - Visual Trading Dashboard
A clean, easy-to-read dashboard that displays key momentum indicators in one convenient table. This indicator helps traders quickly determine the directional bias of price action by combining ADX, Directional Movement Index (DMI), and Money Flow Index (MFI).
What It Shows:
ADX (Average Directional Index): Measures trend strength. Green checkmark appears when ADX ≥ 20, indicating a strong trending market
DI+ (Positive Directional Indicator): Tracks upward price movement
DI- (Negative Directional Indicator): Tracks downward price movement
MFI (Money Flow Index): Volume-weighted momentum indicator. When > 50 indicates bullish money flow
Bias: Automatically calculates directional bias:
LONG: When DI+ > 25 and DI- < 20
SHORT: When DI- > 25 and DI+ < 20
NEUTRAL: When conditions are mixed
Trading Strategy:
This indicator helps determine the bias of price movement in a certain direction. When coupled with Bollinger Bands, it becomes a very powerful combination to catch those big explosive moves up or down. The momentum confirmation from this checklist combined with Bollinger Band squeezes or breakouts can significantly improve entry timing.
Recommended Usage:
Timeframes: 5-minute to 15-minute charts for optimal performance
Best Assets: US30, XAUUSD (Gold), BTCUSD, and most major indices
Works exceptionally well on volatile instruments with strong directional moves
Features:
Color-coded cells for instant visual confirmation
Customizable position (Top Right, Top Left, Bottom Right, Bottom Left)
Adjustable text size (Tiny, Small, Normal)
Configurable ADX, DMI, and MFI period settings
Perfect for day traders and scalpers looking for quick momentum confirmation before entering trades! Feel free to adjust any part of this description to match your style! 🎯 Indicator
Adaptive Buy Sell Signal [AvantCoin]
A comprehensive customized indicator for different markets
🔴Before you start🔴:
Please note that this tool is designed to assist you in analyzing the market, and NOT to make buy/sell decisions for you. You should combine its data with your own strategies and indicators before making any trading choices
====================
Market-Specific Optimizations
Auto-Detection (or Manual Selection)
It automatically detects which market you're trading:
Forex (EUR/USD, GBP/USD, etc.)
Stocks (AAPL, TSLA, etc.)
Indices (NAS100, SPX, etc.)
Commodities (Gold, Silver, Oil)
Crypto (BTC, ETH, etc.)
avantcoin.com
Forex-Specific Features:
✅ Session Filters: Avoids low-liquidity Asian session
✅ Session backgrounds: Green for London/NY overlap (best trading time)
✅ Tighter ADX threshold (20) - good for Forex trends
✅ Lower volatility filter - skips dead zones
⚙️ Min Confluence: 5 (balanced)
⚙️ Cooldown: 5 bars
⚙️ Volume threshold: 1.3x (Forex has consistent volume)
avantcoin.com
Stocks-Specific Features:
✅ Market hours filter: Only signals during NYSE hours.
✅ Gap detection: Avoids trading immediately after large gaps up/down
✅ Higher ADX threshold (22) - Stocks trend differently
✅ Stricter volume requirement (1.5x) - Stocks vary more
⚙️ Min Confluence: 6 (higher quality)
⚙️ Cooldown: 3 bars (stocks move faster)
Indices (Nasdaq, S&P; 500):
✅ Similar to stocks but slightly more lenient
✅ Lower ADX (18) - Indices are smoother
⚙️ Min Confluence: 5
⚙️ Cooldown: 4 bars
Commodities (Gold, Silver, Oil):
✅ Highest ADX requirement (23) - Only trade strong trends
✅ Higher volatility filter (1.6x) - Commodities can be wild
⚙️ Min Confluence: 6
⚙️ Cooldown: 6 bars (avoid whipsaws)
Crypto:
✅ 24/7 trading (no session restrictions)
✅ Lower ADX (15) - Crypto is always volatile
✅ Much higher volume threshold (2.0x) - Crypto volume spikes
⚙️ Min Confluence: 4 (crypto moves fast)
⚙️ Cooldown: 3 bars
📊 Visual Enhancements:
Market Type Badge at top of table (Forex, Stocks, etc.)
Session Status:
Forex: Shows 🟢 LDN/NY, 🔵 London, 🟠 NY, 🔴 Asian
Stocks: Shows 🟢 Open or 🔴 Closed
Session Background Colors on chart (optional)
Current Settings Display: Shows your Min score, ADX threshold, Cooldown
⚙️ How to Use:
For Forex:
Enable "Avoid Asian Session"
Best signals during London/NY overlap
For Stocks:
Enable "Trade Stock Hours Only"
Watch for gap warnings
avantcoin.com Indicator
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator! Indicator
Indicator
Indicator
Hull DMI - MattesHull DMI - Mattes
A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection.
This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction.
Key Features:
Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI.
Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets.
Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis.
Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift.
How It Differs from Standard DMI/ADX:
Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful:
Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier.
Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart.
Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems.
Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading.
This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance:
Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws.
Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups.
Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes.
Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag.
Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings.
Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile).
Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all.
Signals & Interpretation
The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish).
Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert.
Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert.
Zero line acts as neutrality; crossings indicate potential trend shifts.
Best used in trending markets; ADX rising filter helps avoid whipsaws.
// Example Usage in Strategy
strategy("Hull DMI Strategy Example", overlay=true)
if L
strategy.entry("Long", strategy.long)
if S
strategy.entry("Short", strategy.short)
Great Inventions Require great care
Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use. Indicator
Indicator
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends.
Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time.
Idea
ATM is built around a single concept:
Directional pressure is best understood by weighting trend strength against directional imbalance .
To achieve this, the indicator transforms trend strength into two opposing pressure measures:
Bull Pressure Index
Bear Pressure Index
These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes.
How It Works
1. Bull & Bear Pressure Indices
ATM derives two pressure curves by weighting trend strength against directional imbalance:
The Bull Pressure Index increases when upward pressure strengthens.
The Bear Pressure Index increases when downward pressure strengthens.
Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases.
Optional smoothing can be applied to reduce noise and improve readability.
2. Compression / Squeeze Detection
When:
Trend strength weakens,
Bull and Bear pressure converge,
And convergence continues over time,
ATM highlights a compression zone, signaling reduced directional conviction.
These zones often precede directional expansion once pressure rebuilds.
3. Adaptive Trend Context
An adaptive smoothed price curve is displayed on the chart to provide trend context.
Color changes reflect short-term directional shifts, helping align pressure signals with price structure.
This component is contextual only and does not generate signals by itself.
4. Optional Trend Bias Reference
An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend.
5. Step-Based Visualization
The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations.
How to Use ATM
Rising Bull Pressure → strengthening buyer commitment
Rising Bear Pressure → strengthening seller commitment
Wide separation between indices → strong directional trend
Convergence with compression highlight → range or pre-breakout environment
Notes
ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs.
All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script.
ATM is effective when used to assess participation quality, not as a standalone signal generator.
Disclaimer
This indicator is intended for analysis and educational purposes only.
It does not generate buy or sell signals.
Always apply proper risk management.
Happy Trading. Indicator
VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves.
This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage.
Core Concept
Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold.
How the Strategy Works
Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias.
Momentum is measured via Fast EMA vs Slow EMA and the EMA difference.
Trend Strength is confirmed using ADX (must exceed a threshold).
RSI filters trades to avoid entering when momentum is likely overextended or weak.
A no-trade session blocks entries during a predefined time window (default 09:30–10:05).
Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold.
Inputs and Settings
Trend and Indicator Settings
Main Trend WMA: Determines directional bias (price above = long, price below = short).
Fast EMA / Slow EMA: Used to measure momentum and directional separation.
RSI Period: Filters entries based on RSI range constraints.
ADX Period: Measures trend strength (must exceed threshold to allow entries).
Threshold Settings
EMA Difference Threshold: Minimum EMA separation required to validate momentum.
ADX Threshold: Minimum ADX required to confirm trend strength.
RSI Long Ceiling: RSI must remain below this value for long entries.
RSI Short Floor: RSI must remain above this value for short entries.
Risk Management Settings
Take Profit %: Default TP distance in percent.
Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected.
Stop Loss %: Fixed SL distance in percent.
Trailing Activation %: Profit threshold at which trailing starts.
Trailing Distance %: Trailing offset distance used once trailing is active.
Time Filter
No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades.
Entry Logic
No-Trade Time Filter
If the current bar falls inside the no-trade session, entries are blocked.
Long Entry Conditions
Price is above the WMA trend line.
EMA difference is positive and greater than the EMA Difference Threshold.
EMA momentum is increasing (current EMA diff > previous EMA diff).
RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling).
Close is higher than the previous close.
ADX is above the ADX Threshold.
Short Entry Conditions
Price is below the WMA trend line.
EMA difference is negative and lower than -EMA Difference Threshold.
Bearish momentum is increasing (current EMA diff < previous EMA diff).
RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor).
Close is lower than the previous close.
ADX is above the ADX Threshold.
Strong Trend Logic (Dynamic TP Selection)
If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend.
In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”.
Exit Management (TP/SL + Trailing)
The strategy uses fixed percentage-based TP and SL levels.
Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %.
Once activated, trailing follows price using the defined Trailing Distance % offset.
This is designed to secure partial gains during extended moves while still allowing room for continuation.
What You See on the Chart
WMA Trend Line (Main Trend Filter).
Fast EMA and Slow EMA (Momentum Confirmation).
Strategy entry/exit markers generated by PulseWire.
Recommended Use
Scalping systems that rely on trend-following and momentum confirmation.
Markets where ADX filtering helps avoid choppy conditions.
Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation.
Important Notes
The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours.
Percent-based exits scale with price; results will vary across instruments and volatility regimes.
Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
Strategy
Strategy
