Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence
Overview
Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing.
Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance.
This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present.
Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels.
Conceptual Framework
Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone.
Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes.
Three core principles guide the design:
Stop distance should adjust in proportion to market efficiency.
Smoothing behavior must respond to regime changes.
Trailing logic benefits from probabilistic context instead of fixed rules.
This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries.
Theoretical Foundation
The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis.
Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate.
Three internal systems operate in tandem:
KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior.
Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments.
KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides.
This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes.
How It Works
Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes:
Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity.
Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls.
Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning.
Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive.
Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure.
Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop.
Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering.
Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism.
Interpretation
Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope:
Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves.
Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility.
Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes.
Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal.
Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise.
Distance, efficiency, and context outweigh isolated price interactions.
Signal Logic & Visual Cues
Adaptive ML Trailing Stop presents two primary visual signals:
Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one.
Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals.
Alert generation is limited to confirmed trend transitions to maintain clarity.
Strategy Integration
Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches:
Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits.
Directional Alignment : Base execution on confirmed regime state rather than speculative reversals.
Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends.
Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure.
Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness.
Technical Implementation Details
Core Engine : KAMA-based efficiency measurement with adaptive smoothing
Volatility Model : ATR-derived stop distance scaled by regime
Machine Learning Layer : Distance-weighted KNN with confidence modulation
Visualization : Directional trailing stops with layered gradient fills
Signal Logic : Regime-based transitions and controlled interaction markers
Performance Profile : Optimized for real-time chart execution
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Tight adaptive trailing for short-term momentum control
15 - 60 min : Structured intraday trend supervision
4H - Daily : Higher-timeframe regime monitoring
Suggested Baseline Configuration:
KAMA Length : 20
Fast/Slow Periods : 15 / 50
ATR Period : 21
Base ATR Multiplier : 2.5
Adaptive Strength : 1.0
KNN Neighbors : 7
KNN Influence : 0.2
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering.
Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries.
Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement.
Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change.
Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions.
Performance Characteristics
High Effectiveness:
Markets exhibiting sustained directional efficiency
Instruments with recurring structural behavior
Trend-oriented, risk-managed strategies
Reduced Effectiveness:
Highly erratic or event-driven price action
Illiquid markets with unreliable volatility readings
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend indicators
Discipline : Follow adaptive stop behavior rather than forcing exits
Risk Framing : Treat stops as adaptive boundaries, not forecasts
Regime Awareness : Always interpret stop behavior within efficiency context
Disclaimer
Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Trend
Trend Stress Quant [MarkitTick]💡This indicator combines a liquidity-based stress model with a dynamic linear regression channel to identify potential market exhaustion points and assess trend quality. By merging volume impact analysis with statistical deviation, this tool aims to highlight moments where price action may be overextended relative to the underlying liquidity conditions.
● Originality and Utility
Standard volatility indicators often rely solely on price range (like Bollinger Bands). This script introduces a Stress Engine that normalizes the relationship between Price Range (True Range) and Volume. This helps distinguish between healthy price movements and liquidity-stress events (illiquidity). Furthermore, instead of using a fixed-length channel, this tool offers a Dynamic Mode that anchors the regression channel to recent pivot points, ensuring the statistical analysis aligns with the current market structure rather than an arbitrary timeframe.
● Methodology
The script operates on two distinct mathematical models:
• Illiquidity Stress Engine
The core formula calculates a raw illiquidity metric based on the log-normal distribution of the ratio between True Range and Volume. A Z-Score (standard score) is then derived from this data over a specific lookback period. High Z-Scores indicate that price is moving disproportionately fast relative to the available volume, often a signature of panic selling or euphoric buying (exhaustion).
• Linear Regression Channel
The script calculates an Ordinary Least Squares (OLS) regression line (the line of best fit) to determine the mean price trend.
Standard Deviation Bands are plotted parallel to this mean.
Pearson Correlation Coefficient (R) is calculated to quantify the strength of the linear trend. Values closer to 1 or -1 indicate a strong trend, while values near 0 indicate a chaotic or ranging market.
📑 How to Use
Traders can utilize the visual outputs for mean reversion or trend continuation context:
• Exhaustion Signals (SE / BE Labels)
SE (Seller Exhaustion): Appears when the market is in a downtrend, but the Stress Engine detects a statistical anomaly (High Z-Score) on a down candle. This suggests panic selling may be peaking.
BE (Buyer Exhaustion): Appears when the market is in an uptrend, but the Stress Engine detects high stress on an up candle, suggesting a potential blow-off top.
• Regression Channel
The dashed middle line represents the fair value (mean) of the current trend.
The outer bands represent statistical extremes. Price interacting with the outer bands (default 2 Standard Deviations) while coincident with an Exhaustion Signal provides a high-confluence area of interest.
• Metrics Dashboard
A dashboard displays the current Trend Regime, Exhaustion Status, and Channel Width (volatility percentage).
● Settings
• Exhaustion Model
Trend Filter Length: Sets the baseline EMA to determine if the market is bullish or bearish.
Stress Threshold (Sigma): The Z-Score required to trigger an exhaustion signal (default is 2.0).
• Channel Configuration
Dynamic Pivot Mode: If enabled, automatically calculates the channel length based on recent pivots. If disabled, uses the Fixed Length.
Standard Deviations: Controls the width of the inner and outer channel bands.
📖This guide explains how to interpret and utilize signals for trading:
The script is designed primarily for Mean Reversion and Exhaustion trading strategies.
● The Core Strategy: Volatility Exhaustion
The script uses a "Stress Engine" to identify when price movement is statistically overextended relative to the available liquidity (Volume).
• Setup A: The "Seller Exhaustion" (Bullish Bounce)
Look for this setup during a downtrend to catch a temporary bottom or a reversal.
Trend Condition: The dashboard shows Bearish (Price is below the trend filter).
Trigger: The label SE (Seller Exhaustion) appears below a candle.
Why? This indicates that selling pressure was intense but likely panic-driven (High Z-Score/Stress) and may be drying up.
Confluence: Ideally, this signal appears when the price is touching or piercing the Lower Channel Band (dotted or solid lines).
Action: Traders often use this as a signal to close Short positions or enter a speculative Long (counter-trend) targeting the middle line.
• Setup B: The "Buyer Exhaustion" (Bearish Pullback)
Look for this setup during an uptrend to catch a local top.
Trend Condition: The dashboard shows Bullish .
Trigger: The label BE (Buyer Exhaustion) appears above a candle.
Why? This indicates euphoric buying on low liquidity or extreme volatility that is statistically unsustainable.
Confluence: Look for price rejection at the Upper Channel Band.
Action: Traders often use this to close Long positions or enter a Short targeting the mean.
● The Filter: Trend & Correlation
The script includes a Linear Regression Channel that quantifies the quality of the trend.
• Channel Slope
If the channel is angling steeply up or down, the trend is strong.
• Pearson R (Correlation)
The script calculates the Pearson R coefficient.
Weak Correlation: If the channel turns Gray/Neutral (or the fill becomes weak), it means the correlation is below the threshold (default 0.5).
Trading Rule: Avoid trading exhaustion signals when the channel is Gray/Neutral, as the market is likely chopping sideways with no clear direction.
● Risk Management & Targets
• Stop Loss
Since this is a volatility tool, a common technique is to place stops just outside the Outer Deviation Band (the widest line). If price expands beyond the outer band with no exhaustion signal, the trend may be entering a "runaway" phase.
• Take Profit
Target 1: The Middle Regression Line (The dashed center line). Prices tend to revert to this mean after an exhaustion event.
Target 2: The opposite channel band (e.g., if you bought at the bottom, hold until the top).
● Summary of Dashboard Metrics
The table on your chart provides a quick snapshot:
Trend Regime: Tells you if you should fundamentally look for Shorts (Bearish) or Longs (Bullish).
Seller/Buyer Status: Alerts you if the current bar is EXHAUSTED or Normal .
Channel Width %: Indicates volatility. If the width is very low (percentage is small), a breakout might be imminent (squeezing). If high, be careful of chop.
⚙️ Indicator settings
• Signal Parameters
Exhaustion & Stress Model: Controls signal sensitivity.
Trend Filter: Decides if the market is Bullish or Bearish.
Stress Threshold (Sigma): Higher values (e.g., 2.5) make the script stricter, showing fewer but potentially stronger signals.
• Channel Configuration
Dynamic Pivot Mode: If ON, the channel length auto-adjusts to recent market pivots. If OFF, it uses the Fixed Length you set.
Channel Bands: Adjusts the channel width.
Outer Deviation: The boundary for "extreme" moves. Price hitting this often signals a reversal.
• Quality Filter
Filter Weak Correlations: If enabled, the channel turns gray during choppy/sideways markets to warn you not to trust trend signals.
• Visuals
Display Options: Toggles the "Stats" dashboard and adjusts volatility coloring.
● 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.
MSO - Market Stress Oscillator [WavesUnchained]MSO - Market Stress Oscillator
Bidirectional stress oscillator built on WVF + Z-score, with JMA/ADX filters, regime bias, and validated follow-through. Designed to expose downside panic vs upside euphoria and measure whether the market accepts or rejects each stress event.
Quick Setup
- Stress Color Mode : Intuitive (Downside=green, Upside=red) or Technical (classic colors).
CORE CONCEPT
- Downside stress : price flushes below WVF baseline (panic)
- Upside stress : price stretches above WVF baseline (euphoria)
- Stress is normalized via Z-score for cross-asset/timeframe robustness
ENGINE (BI-WVF + Z-SCORE)
- WVF Long and Short computed separately (panic vs euphoria)
- Z-score window normalizes extremes
- Thresholds are TF-aware (15m / 1h / 4h / D / W / M)
QUALITY FILTERS
- JMA trend filter (slope-based, low-lag)
- ADX minimum for trend strength
- Min Extreme Duration to avoid 1-bar noise
- Cooldown to prevent signal clustering
ACCEPT / REJECT LOGIC
- Events are evaluated after reactBars (forward follow-through)
- Accepted : follow-through >= minFollowATR
- Rejected : follow-through < minFollowATR
- Scores (0..1) optionally plotted as acceptance strength
BIAS / REGIME CONTEXT
- Bias line : zL - zS (who dominates)
- Bias band : regime threshold (only meaningful outside band)
- HTF Wind : higher-timeframe bias flip (JMA smoothed)
- Clarity Label : regime entry aligned with HTF + absBias threshold
VISUALIZATION
- Stress Lines : Red = downside stress (panic), Green = upside stress (euphoria)
- Bias Line : zL - zS (who dominates). Neutral inside band, colored outside.
- Bias Band : regime threshold. Fill shows when bias is usable.
- Zones : boxes at peak events (history preserved, FIFO capped)
- Chart Labels : DA/DR/UA/UR (or LA/LR/SA/SR) at peaks
- Lines : reaction window + peak level lines (FIFO capped)
STRESS COLOR MODE
- Intuitive : Downside stress = green, Upside stress = red (opportunity mapping)
- Technical : Downside stress = red, Upside stress = green (classic convention)
- This setting is visual only ; logic, bias, and signals are unchanged
HOW TO USE
1. Read the stress lines : red spikes = panic risk, green spikes = euphoria risk.
2. Check bias : outside the band = usable regime; inside = noise.
3. Use DA/DR/UA/UR :
- DA/UA = stress accepted (follow-through confirmed)
- DR/UR = stress rejected (weak follow-through)
4. Add HTF wind : prefer signals aligned with HTF bias.
5. Tune presets by TF; use manual TF override for testing.
PRESETS & UI
- Full TF preset table (15m / 1h / 4h / D / W / M)
- Manual TF override for testing
- Preset summary panel (optional)
LOGGING (CSV)
- Pivot and stress logs for validation
- Early/First-pivot classification options
- Label IDs included for chart-to-log tracing
BEST USE CASES
- Panic/euphoria detection with follow-through validation
- Regime-aware context (bias + HTF wind)
- Multi-timeframe stress mapping (15m to Weekly)
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
Educational use only. Test thoroughly before live trading.
QuantLabs MASM Correlation TableThe Market is a graph. See the flows:
The QuantLabs MASM is not a standard correlation table. It is an Alpha-Grade Scanner architected to reveal the hidden "hydraulic" relationships between global macro assets in real-time.
Rebuilt from the ground up for Version 3, this engine pushes the absolute limits of the Pine Script™ runtime. It utilizes a proprietary Logarithmic Math Engine, Symmetric Compute Optimization, and a futuristic "Ghost Mode" interface to deliver a 15x15 real-time correlation matrix with zero lag.
Under the Hood: The Quant Architecture
We stripped away standard libraries to build a lean, high-performance engine designed for institutional-grade accuracy.
1. Alpha Math Engine (Logarithmic Returns) Most tools calculate correlation based on Price, which generates spurious signals (e.g., "Everything is correlated in a bull run").
The Solution: Our engine computes Logarithmic Returns (log(close/close )) by default. This measures the correlation of change (Velocity & Vector), not price levels.
The Result: A mathematically rigorous view of statistical relationships that filters out the noise of general market drift.
Dual-Core: Toggle seamlessly between "Alpha Mode" (Log Returns) for verified stats and "Visual Mode" (Price) for trend alignment.
Calculation Modes: Pearson (Standard), Euclidean (Distance), Cosine (Vector), Manhattan (Grid).
2. Symmetric Compute Optimization Calculating a 15x15 matrix requires evaluating 225 unique relationships per bar, which often crashes memory limits.
The Fix: The V3 Engine utilizes Symmetric Logic, recognizing that Correlation(A, B) == Correlation(B, A).
The Gain: By computing only the lower triangle of the matrix and mirroring pointers to the upper triangle, we reduced computational load by 50%, ensuring a lightning-fast data feed even on lower timeframes.
3. Context-Aware "Ghost Mode" The UI is designed for professional traders who need focus, not clutter.
Smart Detection: The matrix automatically detects your current chart's Ticker ID. If you are trading QQQ, the matrix will visually highlight the Nas100 row and column, making them opaque and bright while dimming the rest.
Dynamic Transparency: Irrelevant data ("Noise" < 0.3 correlation) fades into the background. Only significant "Alpha Signals" (> 0.7) glow with full Neon Saturation.
Key Features
Dominant Flow Scanner: The matrix scans all 105 unique pairs every tick and prints the #1 Strongest Correlation at the bottom of the pane (e.g., DOMINANT FLOW: Bitcoin ↔ Nas100 ).
Streak Counter: A "Stubbornness" metric that tracks how many consecutive days a strong correlation has persisted. Instantly identify if a move is a "flash event" or a "structural trend."
Neon Palette: Proprietary color mapping using Electric Blue (+1.0) for lockstep correlation and Deep Red (-1.0) for inverse hedging.
Usage Guide
Placement: Best viewed in a bottom pane (Footer).
Assets: Pre-loaded with the Essential 15 Macro Drivers (Indices, BTC, Gold, Oil, Rates, FX, Key Sectors). Fully editable via settings (Ticker|Name).
Reading the Grid:
🔵 Bright Blue: Assets moving in lockstep (Risk-On).
🔴 Bright Red: Assets moving perfectly opposite (Hedge/Risk-Off).
⚫ Faded/Black: No statistical relationship (Decoupled).
Key Improvements Made:
Formatting: Added clear bullet points and bolding to make it scannable.
Clarity: Clarified the "Logarithmic Returns" section to explain why it matters (Velocity vs. Price Levels).
Tone: Maintained the "high-tech/quant" vibe but removed slightly clunky phrases like "spurious signals" (unless you prefer that academic tone, in which case I left it in as it fits the persona).
Structure: Grouped the "Modes" under the Math Engine for better logic.
Created and designed by QuantLabs
Peace of Mind Trader: MA Trend SystemPeace of Mind Trader: MA Trend System
ระบบนี้ถูกออกแบบมาเพื่อให้การดูเทรนด์เป็นเรื่องง่ายและ "สบายใจ" ที่สุด (Peace of Mind) โดยลดความซับซ้อนของการตีเส้นกราฟ ช่วยให้คุณโฟกัสกับภาพใหญ่ของตลาดได้ทันที ด้วยหลักการ EMA Cross ที่เรียบง่ายแต่ทรงพลัง
ฟีเจอร์หลัก:
- Trend Ribbon (แถบสีบอกเทรนด์): แสดงพื้นที่ระบายสีระหว่างเส้น EMA สองเส้น เปลี่ยนสีเขียว/แดงตามแนวโน้ม ช่วยให้มองแวบเดียวก็รู้ว่าตลาดเป็นขาขึ้นหรือขาลง
- สัญญาณซื้อขายที่ชัดเจน:
ขึ้นป้าย "🟢 BULL" เมื่อเริ่มเข้าสู่เทรนด์ขาขึ้น
ขึ้นป้าย "🔴 BEAR" เมื่อเริ่มเข้าสู่เทรนด์ขาลง
- พิเศษ: มีฟังก์ชัน "Show Signal History" สามารถเลือกปิดประวัติเก่าๆ เพื่อให้โชว์แค่ "สัญญาณล่าสุด" เพียงอันเดียวได้ (ทำให้กราฟสะอาดตามาก)
- Dashboard สถานะ: ตารางสรุปมุมขวาล่าง (ปรับตำแหน่งได้) บอกสถานะปัจจุบันทันทีว่าควร Buy หรือ Sell
- เปลี่ยนสีแท่งเทียนอัตโนมัติ: ระบบจะย้อมสีแท่งเทียนให้เป็นสีเขียว/แดงตามเทรนด์ เพื่อลดความสับสนช่วงที่กราฟย่อตัว
วิธีใช้งาน:
🟢 โซนสีเขียว: โฟกัสหน้า Buy หรือถือรันเทรนด์ต่อไป
🔴 โซนสีแดง: โฟกัสหน้า Sell หรือถือเงินสดรอจังหวะ
การตั้งค่า: สามารถปรับค่า EMA และสีต่างๆ ได้ตามสไตล์การเทรดของคุณ
ขอให้มีความสุขกับการเทรดแบบ Peace of Mind ครับ
พีร์ Peace of Mind Trader
-------------
English Description
Peace of Mind Trader: MA Trend System
This indicator is designed to simplify your trading routine by visualizing the market trend clearly and effectively. Built on the classic logic of Moving Average crossovers (EMA), it helps you stay on the right side of the market without the noise.
Key Features:
Trend Ribbon: A visual fill between the Fast and Slow EMA that changes color based on the trend (Green for Bullish, Red for Bearish). This makes it easy to spot the strength and direction of the trend at a glance.
Clear Buy/Sell Signals:
Displays "🟢 BULL" labels when the Fast EMA crosses above the Slow EMA.
Displays "🔴 BEAR" labels when the Fast EMA crosses below the Slow EMA.
New Feature: You can toggle "Show Signal History". Uncheck this option to keep your chart clean by showing only the latest active signal.
Status Dashboard: A customizable panel on the chart (position adjustable) that tells you the current market status immediately (BULL or BEAR).
Trend-Colored Candles: Automatically colors the candlesticks to match the trend, helping you filter out noise during corrections.
How to Use:
Green Zone (Bullish): Look for buying opportunities or hold your position (Run Trend).
Red Zone (Bearish): Look for selling opportunities or stay in cash.
Settings: You can adjust the EMA lengths and all visual colors to fit your personal trading style.
Trade with Logic, Profit with Peace.
PowerWave Oscillator Suite [BOSWaves]PowerWave Oscillator Suite - Multi-Dimensional Momentum & Trend Oscillator with Adaptive Divergence Insight
Overview
PowerWave Oscillator Suite is a cutting-edge analytical toolkit designed to provide traders with a sophisticated understanding of momentum, trend strength, and divergence behavior in financial markets. Unlike conventional oscillators that rely solely on price-based calculations, PowerWave combines adaptive, multi-dimensional computation engines with advanced visualization tools and divergence detection systems. The suite offers a unique blend of trend-following, mean-reversion, and contrarian trading insights, allowing users to analyze markets from multiple angles simultaneously. Each module within the suite has been designed to offer precision, clarity, and adaptability, ensuring that traders of all levels - from novice to professional - can extract actionable intelligence without unnecessary chart clutter or signal ambiguity.
PowerWave Oscillator Suite focuses on three primary trading paradigms: momentum measurement, volume-based filtering, and smoothed trend oscillation. These paradigms are accessible via three core modules - Aroon Oscillator, Adaptive Volume Filter, and HyperSmooth Oscillator - each equipped with advanced smoothing, dynamic source selection, reduced-lag computation, and divergence detection, offering a comprehensive approach to market analysis. By leveraging the full capabilities of this toolkit, traders can identify market turning points, confirm trend strength, detect hidden divergences, and refine entries and exits, all within a single integrated framework.
Configuration Panel and Customization Options
At the heart of PowerWave is a robust configuration panel that allows users to tailor the suite to their individual trading preferences and market conditions. The first level of customization is the Module Selection, allowing users to toggle between the Aroon Oscillator, Adaptive Volume Filter, or HyperSmooth Oscillator. Each module is designed with a distinct analytical purpose:
Aroon Oscillator : Measures trend strength and provides early signals for trend reversals or continuation.
Adaptive Volume Filter : Uses volume-based filtering to highlight momentum shifts, smoothing out noise from price fluctuations.
HyperSmooth Oscillator : Delivers finely smoothed oscillations, designed to capture micro-trend shifts and acceleration patterns.
Users can enhance the responsiveness and filtering behavior of each module via the Enhancement Level setting, a numeric input that applies a series of multi-stage exponential smoothing layers, ensuring signals are robust against market noise without introducing excessive lag. Additionally, the Source Type option allows traders to determine the price input methodology - ranging from adaptive combinations of open, high, low, and close values to more traditional sources - granting flexibility to align the indicator with preferred strategies or asset characteristics.
Engineered Visual Intelligence and Module-Specific Color Systems
PowerWave employs purpose-built, module-specific color systems that are tightly integrated with each oscillator’s underlying computation model. Rather than treating color as a cosmetic layer, the suite uses color as an informational channel, encoding state, momentum bias, and structural context directly into the visual output.
Each module operates with a dedicated color logic aligned to its analytical role:
The Aroon Oscillator uses polarity-driven gradients to express time-based trend dominance and directional strength.
The Adaptive Volume Filter applies contrasting color states to distinguish expanding versus contracting volume pressure.
The HyperSmooth Oscillator utilizes a dynamic HSV-based color spectrum that continuously maps momentum acceleration and deceleration into the oscillator line itself.
These color systems are reinforced through coordinated visual elements, including bar coloring, background state highlighting, histogram fills, and cross-condition shading. Users can further tune visual intensity and emphasis through enhanced mode and opacity controls, allowing the same engineered color logic to be amplified or subdued depending on chart density and personal workflow.
By designing color behavior as an extension of the calculation engine - rather than an arbitrary styling choice - PowerWave ensures that visual cues remain consistent, data-driven, and immediately interpretable across assets, timeframes, and market regimes.
Dynamic Source and Zero-Lag Computation
A defining characteristic of PowerWave Oscillator Suite is its Dynamic Source Calculation engine, which adjusts the input price series according to the trader’s chosen source type and enhancement level. This system ensures that signals are computed from a refined, noise-filtered base, enhancing reliability across asset classes and timeframes. Each stage of the multi-level smoothing hierarchy incrementally reduces erratic price fluctuations while preserving meaningful structural movement, allowing traders to differentiate between minor price noise and genuine momentum shifts.
Complementing this is the Adaptive Reduced-Lag Filter, a highly specialized algorithm that minimizes lag inherent in traditional moving averages or oscillators. This filter uses a gain-optimized EMA structure that continuously self-adjusts based on recent price dynamics, providing traders with fast yet reliable signals. By incorporating zero-lag calculations, PowerWave ensures that trend reversals and momentum inflections are detected in near real-time, allowing for earlier entries, faster confirmations, and more accurate exits. The reduced-lag filter also dynamically adjusts its internal gain coefficients, minimizing error while accounting for varying market volatility.
Aroon Oscillator Module
The Aroon Oscillator module within PowerWave is designed to quantify trend strength and identify emerging directional shifts. Utilizing a dual-period calculation, the module compares the relative timing of recent highs and lows, producing a normalized oscillation that reflects the market’s current momentum. Advanced zero-lag filtering ensures that even minor reversals or trend accelerations are captured with minimal delay, while additional smoothing can be applied via the configuration panel to match the trader’s preferred sensitivity.
The module includes trend and mean-reversion signal detection:
Trend Signals : Generated when the oscillator crosses the zero line, indicating potential trend continuation or initiation.
Reversion Signals : Triggered by crossovers between the oscillator and its internal signal line, highlighting potential pullbacks or temporary counter-trend behavior.
Visual overlays, including bar coloring and gradient plots, highlight bullish and bearish momentum zones, making it immediately apparent whether the market is in a trending or consolidating state. By combining trend and reversion insights with divergence detection, traders gain a multi-layered understanding of market structure, allowing for well-timed entries and exits.
Use Case:
Use the Aroon Oscillator when your primary objective is identifying real trend shifts early and staying aligned with structure. This model excels in markets transitioning from consolidation into expansion, where timing matters more than micro-entries. Zero-line crosses define directional regime changes, while signal-line crossovers expose mean-reversion pullbacks within a dominant trend. Divergences here are high-quality because Aroon measures time-based strength, not just price movement - making this ideal for swing traders and intraday trend followers who want confirmation before committing size.
Adaptive Volume Filter Module
The Adaptive Volume Filter takes a fundamentally different approach, analyzing volume-driven market behavior. By transforming price inputs with volume-weighted calculations and applying an adaptive multi-stage smoothing engine, this module emphasizes genuine buying and selling pressure while suppressing noise caused by small, indecisive bars.
Key features include:
Dynamic Thresholding : Traders can set threshold levels to define oversold or overbought regions based on relative volume patterns.
Multi-tiered Signal Generation : Local trend signals identify moderate momentum shifts, while oversold/overbought conditions trigger stronger trade opportunities.
Volume-Cycle Adaptation : The filter adapts to cyclical volume patterns, ensuring that signals remain valid during periods of high or low market participation.
This module is particularly effective for spotting institutional accumulation/distribution, validating trends, and detecting early inflection points where price action alone might be misleading.
Use Case:
Select the Adaptive Volume Filter when you want to validate price movement with participation, not guess momentum in a vacuum. This oscillator shines during breakouts, distribution phases, and deceptive price moves where volume tells the real story. Overbought and oversold zones highlight statistically stretched volume conditions, while the adaptive smoothing engine filters short-term noise caused by small, indecisive bars. This is the model you use to confirm whether a move is being supported or starved - making it lethal for spotting exhaustion, fake breakouts, and accumulation/distribution zones.
HyperSmooth Oscillator Module
The HyperSmooth Oscillator represents the most sophisticated module in the suite, combining adaptive smoothing, dual-cycle EMA differentiation, and volatility-normalized scaling. It calculates momentum by comparing fast and slow EMA cycles of a dynamically smoothed price series and then normalizes this difference using ATR-based volatility adjustments. This ensures that the oscillator is sensitive to micro-momentum changes while remaining robust against extreme volatility spikes.
Additional innovations in this module include:
Hyper-smoothing and acceleration detection : Captures micro-trend shifts and identifies momentum acceleration or deceleration, providing early insight into potential trend reversals.
Dynamic color mapping : Uses HSV-based gradient calculations to indicate the intensity and direction of momentum, enhancing immediate visual interpretation.
Threshold-based cross-validation : Ensures that only meaningful crossovers are flagged as buy or sell signals, reducing false positives in noisy markets.
Combined, these mechanisms give traders access to both subtle and strong market moves, allowing nuanced position sizing and timing strategies.
Use Case:
Use HyperSmooth when you need speed, sensitivity, and volatility-aware momentum detection. This model is built for fast markets, aggressive entries, and momentum continuation plays where standard oscillators lag. By normalizing momentum with ATR and dynamically adjusting signal thresholds, HyperSmooth filters weak crosses and only reacts when momentum actually matters. Color-shifted acceleration highlights when force is increasing or decaying, making this the go-to mode for scalpers and momentum traders hunting explosive continuation or sharp reversals with minimal delay.
Enhanced Divergence Detection System
PowerWave includes a robust divergence detection engine, capable of identifying regular and hidden bullish and bearish divergences across all modules. Divergences are detected by analyzing oscillator pivots against corresponding price highs and lows, ensuring that traders can spot structural weaknesses or strengths in trend continuation.
Key enhancements include:
Pivot-based analysis with lookback control : Allows customization of sensitivity to short-term vs. long-term divergences.
Priority system : Regular divergences are highlighted first, while hidden divergences are only displayed if no regular divergence is present, reducing chart clutter.
Visual representation : Divergences are drawn on both the oscillator and price chart using solid or dashed lines with opacity gradients, enabling clear interpretation of potential reversal zones.
This system equips traders to anticipate trend exhaustion points, early reversals, and high-probability pullbacks, a critical advantage in both trending and range-bound markets.
Visualization and Chart Interpretation
Every module in PowerWave is accompanied by enhanced visual aids, including histogram fills, line overlays, bar coloring, and shape-based trade markers. These features provide instant clarity on:
Trend direction : Bullish vs. bearish zones are highlighted via gradient fills and bar color overlays.
Signal strength : Minor, regular, and strong trade setups are distinguished using shape markers (triangles, circles, diamonds).
Momentum confirmation : Histogram fills indicate whether the oscillator is accelerating or decelerating relative to its signal line.
By integrating these visualizations, PowerWave transforms complex calculations into immediately actionable chart insights, enabling both manual and automated strategies to be executed with confidence.
General Use Cases and Trading Applications
Trend-following : Combine oscillator zero-line crossovers with divergence confirmation for disciplined entries.
Counter-trend trading : Utilize hidden divergence signals to identify potential reversal points before visible trend exhaustion.
Volume-sensitive trades : Adaptive Volume Filter highlights accumulation/distribution phases, providing context for institutional participation.
Scalping and swing strategies : HyperSmooth Oscillator captures micro-momentum changes, ideal for both short-term scalping and multi-day swing trades.
The suite is designed for flexibility and adaptability, allowing traders to integrate multiple modules, fine-tune parameters, and create customized signals aligned with personal strategies or specific market conditions.
Final Notes
PowerWave Oscillator Suite is designed as an analytical decision-support system. It provides structured market insight based on historical price and volume behavior and does not constitute predictive or outcome-guaranteed functionality. Its core design philosophy emphasizes clarity, adaptability, and risk-aware decision-making. Every calculation, filter, and visual cue is intended to provide insight, not guarantees. Traders are encouraged to combine the suite’s outputs with proper risk management, contextual market awareness, and disciplined strategy execution.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
MARAL Execution WorkflowOverview
MARAL Execution Workflow is a discretionary execution decision-support indicator designed to organize market context into a consistent workflow. It is not an automated trading system, does not place orders, and does not predict outcomes.
Meaning of MARAL: Market Alignment + Risk Awareness + Logic-based execution gating — a structured workflow framework designed to improve clarity and consistency in discretionary execution.
This tool supports discretionary decision-making across three stages: Context → Qualification → Management.
It extends analysis beyond entry by supporting post-entry decisions such as: Should I stay? Should I reduce risk? Should I exit? Or should I wait? These are decision-support questions, not predictions.
Key Features
9-Layer Framework + 3 Boards + EDC
The script uses a 9-layer framework coordinated by a centralized decision-state layer (EDC). Each layer has a defined role:
1. Directional Context (Trend/Bias Layer) — establishes a directional preference using configurable bias filters.
2. Higher-Timeframe Context (HTF Layer) — anchors execution to broader context when enabled.
3. Structure Mapping (Swing/Structure Layer) — identifies structural behavior (highs/lows) to frame decision areas.
4. Location / Proximity Awareness (Obstacle Layer) — evaluates proximity to likely reaction areas for risk awareness.
5. Momentum Quality (Momentum Layer) — distinguishes healthier follow-through vs weakening/choppy conditions.
6. Volatility / Stability Regime (VOL/REGIMI) evaluates volatility using ATR% thresholds and regime support using ADX.
7. Pre-Entry Qualification (Checklist Layer) — confirms whether minimum execution conditions are satisfied before entry.
8. Post-Entry Management Context (Management Layer) — monitors changing conditions after a setup for discretionary management.
9. Liquidity Context (Liquidity Layer) — integrates liquidity-based location context using PDH/PDL proximity, sweep/reclaim behavior, and lookback extreme breaks. When enabled, the script may also plot liquidity reference points for visual mapping.
Liquidity Regime States (Panel Output)
The Liquidity Layer displays a 3-state liquidity regime used for execution risk awareness:
• HIGH — a liquidity event is detected (e.g., sweep/reclaim or lookback extreme break).
• NEUTRAL — no event, but liquidity is nearby (proximity to PDH/PDL within a defined threshold).
• LOW — no event and no nearby liquidity pressure detected.
These are context/risk states used for discretionary gating — not buy/sell signals and not outcome predictions.
Boards
• Context Board — summarizes direction, HTF context, structure, momentum, volatility (ATR%), trend regime (ADX), scores, and liquidity context.
• Qualification Gate — rule-based checklist view to confirm minimum execution conditions before entry.
• Management Desk — post-setup view to monitor risk changes, obstacle proximity, deterioration cues, and management states.
EDC — Execution Decision Core
EDC consolidates outputs from the framework into unified workflow states. It applies rule-based gating to reduce conflict when conditions are mixed.
EDC Unified Output States (Decision-Support Only):
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK / —
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT / —
— may appear when a state is not applicable (e.g., no active management window is being tracked).
Panels & Labels (Exact On-Chart Meanings)
1) Context Board (Market Environment Snapshot)
• DIRECTION → Bullish / Bearish / Neutral
• H1 CONTEXT / H4 CONTEXT / DAILY CONTEXT → HTF bias states (when enabled). If HTF is disabled, shows OFF.
• STRUCTURE → Bull Struct / Bear Struct / Neutral Struct
• MOMENTUM → BULL / BEAR / NEUTRAL
• VOLATILITY (ATR%) → ATR as a percentage of price (volatility context)
• TREND STRENGTH → ADX context value
• LONG SCORE / SHORT SCORE → internal workflow alignment scores (0–100) with grade: A++ / A+ / A / B / No-Trade
• ALIGNMENT SCORE → combined alignment score used for gating
• LIQUIDITY CONTEXT → HIGH / NEUTRAL / LOW
Important: Scores are internal workflow scoring for filtering/alignment. They are not performance statistics and do not imply guaranteed probability or outcomes.
2) Qualification Gate (Pre-Entry Checklist)
Gate Legend: OK = passes filter, WARN = mixed/caution, BAD = fails filter (execution gated).
• SETUP → WAIT / LONG / SHORT
• HTF CONTEXT → OK / WARN / BAD / —
• STRUCTURE → OK / WARN / BAD / —
• MOMENTUM → OK / WARN / BAD / —
• VOL/REGIME → OK / WARN / BAD / — (Volatility + regime filter; not volume)
o OK = ATR% within thresholds AND ADX meets regime requirement
o WARN = ATR% within thresholds but regime is mixed (ADX below threshold)
o BAD = ATR% outside thresholds
• LIQUIDITY → HIGH / NEUTRAL / LOW
• ALIGNMENT → shows score vs required minimum threshold
• ENTRY PERMISSION → ENTER / WAIT / SKIP
Purpose: reduce forced entries by requiring minimum execution quality.
3) Management Desk (Post-Setup Decision Support)
The Management Desk operates inside an Active Window measured in bars after the last setup (configurable by input). When the management window is not active, some fields may show —.
• TRADE STATUS → VALID / RISKY / WEAK / —
— appears when no active trade state is being tracked (not applicable).
• MARKET PHASE → RANGE / IMPULSE / PULLBACK / CONTINUATION
Environment classification used for management context (not prediction).
• OBSTACLE AHEAD → YES / NO
Proximity risk context (e.g., near PDH/PDL or near swing levels under the script’s logic).
• EXIT PRESSURE → LOW / RISING / HIGH
Management pressure context based on deterioration cues (not a signal).
• MOMENTUM HEALTH → STRONG / WEAKENING / WEAK / NEUTRAL
Follow-through quality context used for management.
• SCORE TREND → IMPROVING / DETERIORATING / STABLE
Direction of the internal workflow score trend (not P&L, not performance).
• RISK STATE → OVEREXTENDED / NORMAL
Overextension context based on distance from EMA vs ATR.
• TRADE AGE → FRESH / MID / LATE / —
Workflow age based on bars since last setup. — when not applicable.
• SL MODE → BE OK / TIGHT / NORMAL / —
Stop-management context used for discretionary risk control. — when not applicable.
• ACTION STATE → HOLD / TIGHT SL / SCALE OUT / EXIT / —
o HOLD = maintain the current plan under present conditions
o TIGHT SL = discretionary prompt to reduce risk by tightening protection
o SCALE OUT = discretionary prompt to partially reduce exposure (partial exit / trim size), typically when obstacle proximity risk is detected
o EXIT = discretionary prompt that conditions deteriorated and exit may be considered
o — = not applicable
• ACTIVE WINDOW → ON / OFF
Shows whether the post-setup management window is active (bars after the last setup, per the “Active Window” input). When OFF, management/trade states may show —.
Optional Modules (Toggleable)
To keep the chart clean and workflow-focused, optional modules can be enabled/disabled:
A) PDH/PDL Reference (Optional)
• Plots Previous Day High / Previous Day Low as structured reference points (risk awareness only).
B) ATR-Based Planning Guides (Optional)
• Optional visual guides for SL / TP1 / TP2 / TP3 based on ATR.
• Visual planning references only. Does not place orders and does not guarantee outcomes.
C) Visual Color Layer (Optional)
• Optional state-based candle coloring for readability only.
D) State Markers (Optional)
• Optional state markers (e.g., LONG/SHORT confirmations). These are state confirmations only, not trade recommendations.
Display & Layout Options
• Display Mode: Mobile / Medium / Desktop
• Mobile Minimal View: optional minimal mode (EDC-only)
• Panel Positioning: 9 anchor positions
(Top Left / Top Center / Top Right / Middle Left / Middle Center / Middle Right / Bottom Left / Bottom Center / Bottom Right)
Why This Is Not a “Mashup”
This publication is not intended to bundle multiple classic indicators as independent buy/sell tools. While it uses familiar building blocks (trend/bias filtering, volatility/regime context, structure references, liquidity context), each component has a defined role inside a single execution workflow:
• Context Board → Qualification Gate → Management Desk organizes information into a consistent discretionary process.
• EDC consolidates multi-layer conditions into unified states using rule-based gating to reduce conflict and prioritize risk awareness.
This is a decision-support framework designed to improve clarity and consistency in discretionary execution. It does not place orders and does not provide guaranteed outcomes.
How to Use (Recommended Workflow)
1. Set context: Use the Context Board to determine directional preference, volatility/regime stability, and location context.
2. Qualify execution: Use the Qualification Gate as the filter. If alignment is not sufficient, avoid forcing entries.
3. Execute with location awareness: Avoid late entries into nearby obstacles. Treat proximity as increased risk.
4. Manage post-setup: Use the Management Desk to monitor risk changes. If states deteriorate, follow your plan (reduce risk, protect, or exit).
5. Stay consistent: Works best with position sizing rules and disciplined confirmation.
Screenshots / Visual Reference (What each panel shows)
Screenshot 1 — Full Workflow View (Desktop)
Shows the complete workflow layout on one chart: Context Board, Qualification Gate, Management Desk, and the EDC (Execution Decision Core) summary together.
Screenshot 2 — Context Board
Shows directional context, HTF context (if enabled), structure mapping, momentum quality, volatility/stability regime (ATR + ADX), and liquidity context (HIGH/NEUTRAL/LOW). This board is used to understand “market alignment” before considering execution.
Screenshot 3 — Qualification Gate (Pre-Entry)
Shows the rule-based checklist view used for discretionary pre-entry qualification. It summarizes SETUP (WAIT/LONG/SHORT), key confluence checks, liquidity context, and ENTRY PERMISSION (ENTER/WAIT/SKIP). This is a gating view—meant to prevent forced entries when alignment is insufficient.
Screenshot 4 — Management Desk (Post-Entry)
Shows post-entry condition monitoring within the active window after the last setup. It highlights trade status shifts (VALID/RISKY/WEAK), obstacle proximity, exit pressure, momentum health, score trend, risk state, SL mode, and action guidance context.
Screenshot 5 — EDC Panel (Execution Decision Core) — Centralized State
Shows the unified decision-support outputs consolidated from the workflow layers and boards into one compact view:
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT
These are rule-based guidance states for discretionary execution and risk awareness — not automated actions.
Screenshot 6 — Example –Execution context
The screenshot shows MARAL Execution Workflow applied to XAUUSD on the 1-hour timeframe. All three boards and the EDC panel are visible:
• Context Board (top-right) – Confirms a fully aligned bullish environment: direction and all HTF contexts are Bullish, structure is “Bull Struct”, momentum is “BULL”, volatility (ATR%) is within normal bounds, and the long-side alignment score is high while the short-side score is in “No-Trade” territory. Liquidity Context is “LOW”, indicating limited immediate liquidity pressure.
• Qualification Gate (top-center) – For the same bar, the checklist produces a LONG setup with HTF CONTEXT, STRUCTURE, MOMENTUM and VOL/REGIME all marked OK. Liquidity is LOW, and ALIGNMENT shows “93 / 65”, meaning the current long-side score (93) is above the user-defined minimum threshold (65). ENTRY PERMISSION = ENTER, signaling that, within this framework, execution conditions are sufficiently aligned to allow a discretionary long entry according to the trader’s own plan.
• Management Desk (left) – Once a trade is active, the post-entry view monitors evolving risk. In this example the trade status is VALID and MARKET PHASE is CONTINUATION, while RISK STATE highlights OVEREXTENDED and TRADE AGE is FRESH. MOMENTUM HEALTH = STRONG, SCORE TREND = STABLE, and ACTION STATE = HOLD. This illustrates how the panel can flag extension or emerging pressure without forcing a decision.
• EDC | Execution Decision Core (bottom-right) – The EDC panel consolidates the key states into one unified view: SETUP = LONG, ENTRY PERMISSION = ENTER, LIQUIDITY = LOW, TRADE STATUS = VALID, ACTION STATE = HOLD. These are rule-based guidelines summarizing the interaction between Context, Qualification, Management and liquidity conditions. They are decision-support outputs only; they do not place orders and do not imply any guaranteed outcome.
Inputs & Customization
Inputs are provided to adapt the workflow to different instruments and timeframes, including:
• bias/trend parameters and smoothing, optional HTF context,
• structure sensitivity and lookback,
• momentum thresholds,
• volatility thresholds (ATR% limits) and regime filter (ADX),
• liquidity sensitivity (lookback / proximity thresholds),
• visuals (show/hide boards, display mode, mobile minimal view, text size, positioning).
Markets & Timeframes
Designed for multiple markets and instruments available on Trading View, including:
• Indices (index charts / index futures where available — not an options-chain or options-pricing tool)
• Crypto
• Forex
• Stocks / ETFs
• Commodities
Timeframe-agnostic: can be applied from lower to higher timeframes based on your trading style. Results vary by instrument, timeframe, and volatility/regime.
Limitations (Important)
• Discretionary analysis tool only; does not place trades.
• Optional markers/labels (if enabled) are state confirmations only, not recommendations.
• HTF values can update as HTF candles develop.
• Structure/obstacle references are informational decision areas and may be exceeded.
• No indicator removes risk; risk management remains essential.
• Provided “as-is.” Outputs may differ across symbols, sessions, spreads, or data feeds.
Risk & Disclaimer
Trading involves risk. Past behavior does not indicate future performance. This script is provided for educational and analytical purposes only. You are responsible for all trading decisions, including entries, exits, position sizing, and risk management. The script does not place trades and does not provide investment advice.
Flux Momentum Oscillator[BullByte]Flux Momentum Oscillator is a professional-grade momentum analysis system built on an original methodology called Momentum Flux Bars (MFB). Unlike conventional oscillators that measure momentum over fixed time periods, this indicator constructs synthetic momentum bars based on actual price movement, creating a pure representation of directional pressure independent of time-based noise.
This is NOT a mashup or combination of existing indicators. The entire system is built from the ground up around a single cohesive concept: measuring momentum through price-triggered synthetic bars rather than time-triggered calculations.
CORE INNOVATION: MOMENTUM FLUX BARS (MFB)
Traditional momentum indicators calculate values at fixed time intervals, which means a slow, grinding move receives the same measurement weight as a fast, explosive move occurring over the same number of bars. This creates distortion in momentum readings.
Momentum Flux Bars solve this problem by forming only when price travels a volatility-adjusted distance. Each MFB represents genuine directional commitment from market participants.
Key Properties of Momentum Flux Bars:
- Form based on price movement, not time passage
- Automatically adjust their formation threshold based on current volatility
- Capture the velocity of price movement (how quickly each bar forms)
- Record volume participation during formation
- Create a noise-filtered view of true market momentum
The oscillator then analyzes the pattern, velocity, and characteristics of recent MFB formations to produce its readings.
WHY THIS APPROACH MATTERS FOR TRADERS
Time-Based Problem: A 14-period RSI on a choppy day produces the same calculation structure as on a trending day, even though market behavior differs completely. The indicator cannot distinguish between meaningful moves and noise.
Flux-Based Solution: When price chops sideways, fewer MFBs form because price fails to travel the required distance. When price trends strongly, MFBs form rapidly in sequence. The oscillator inherently adapts to actual market behavior.
Practical Benefits:
- Cleaner signals during trending conditions
- Automatic noise reduction during consolidation
- Earlier detection of momentum shifts through velocity analysis
- Reduced false signals in choppy markets
- No manual adjustment needed across different market conditions
COMPLETE FEATURE BREAKDOWN
FEATURE 1: AUTO-OPTIMIZATION ENGINE
The indicator includes an optional auto-optimization system that continuously evaluates different sensitivity parameters and selects the configuration producing the cleanest momentum measurement for current conditions.
How It Works:
- Tests multiple ATR multiplier values against recent price history
- Scores each configuration based on trend capture efficiency
- Automatically applies the optimal setting
- Re-evaluates periodically to adapt to changing conditions
Trader Benefit: Eliminates the guesswork of parameter tuning. The indicator finds its own optimal settings.
FEATURE 2: MARKET REGIME CLASSIFICATION
The system classifies current market conditions into four distinct regimes based on MFB formation patterns:
EXPLOSIVE: Rapid MFB formation with strong directional bias and high volume participation. Indicates powerful trending conditions with high momentum.
STEADY: Consistent MFB formation in a primary direction with normal velocity. Represents healthy, sustainable trends suitable for trend-following approaches.
CONSOLIDATING: Mixed direction MFB formation with decreasing velocity. Suggests range-bound conditions where breakout strategies may be appropriate.
DEAD: Minimal MFB formation activity. Indicates extremely low volatility or market indecision. Often precedes significant moves.
Trader Benefit: Instantly understand current market character and adjust strategy accordingly.
FEATURE 3: VELOCITY DIVERGENCE DETECTION
This advanced feature monitors the formation speed of Momentum Flux Bars and compares it against price direction.
Velocity Divergence Bearish: Price making higher highs but MFBs forming progressively slower. Suggests buying pressure is weakening despite higher prices.
Velocity Divergence Bullish: Price making lower lows but MFBs forming progressively slower. Suggests selling pressure is weakening despite lower prices.
Trader Benefit: Early warning system for potential reversals before they appear on price charts.
FEATURE 4: MOMENTUM EXHAUSTION DETECTION
The system identifies when a trending move may be running out of energy by analyzing the duration pattern of consecutive same-direction MFBs.
Exhaustion Pattern: When each successive MFB in a trend takes progressively longer to form, it indicates diminishing momentum even though direction remains unchanged.
States Displayed:
- BUILDING: Momentum is increasing or stable
- PEAK: Maximum momentum velocity reached
- EXHAUSTING: Progressive slowdown detected
Trader Benefit: Know when a trend is losing steam before price reverses.
FEATURE 5: HIGHER TIMEFRAME ALIGNMENT
The indicator checks whether higher timeframe MFB direction supports or conflicts with current timeframe momentum.
ALIGNED BULL: Both timeframes showing bullish MFB direction
ALIGNED BEAR: Both timeframes showing bearish MFB direction
DIVERGENT: Timeframes showing opposing directions
NEUTRAL: Higher timeframe direction unclear
Trader Benefit: Trade with higher timeframe support for higher probability setups.
FEATURE 6: CHOPPY MARKET DETECTION
A dedicated algorithm analyzes recent MFB patterns to determine if the market is in a choppy, directionless state.
Detection Factors:
- Frequency of direction changes in recent MFBs
- Lack of consecutive same-direction formations
- Weak directional bias in the MFB sequence
Trader Benefit: Avoid trend-following strategies when market conditions do not support them.
FEATURE 7: TREND STRENGTH MEASUREMENT
A percentage-based strength reading derived from MFB pattern analysis.
Flux Momentum Oscillator Chart Example
Chart Overview: Bitcoin 15-Minute Chart (Dec 21, 2025)
BTCUSD Market Snapshot
Price: $88,854.53 | Oscillator: 77.38 | Direction: BULLISH | Regime: EXPLOSIVE
1. EXPLOSIVE REGIME DETECTION (Current State - Right Side)
2. MOMENTUM EXHAUSTION ZONE (Mid-Chart)
3. CHOP/CONSOLIDATION PERIOD (Before Breakout)
4. VELOCITY DIVERGENCE (Around 21:00 the previous day)
5. BULLISH MOMENTUM SHIFT (Around 09:00)
6. FORMATION PROGRESS BAR (Bottom of Oscillator)
7. TREND STRENGTH INDICATOR (Bottom Bar)
8. EXTREME ZONES (Top and Bottom Boundaries)
Reading Interpretation:
- Above 70%: Strong trending conditions
- 40% to 70%: Moderate trend or developing move
- Below 40%: Weak trend or choppy conditions
Visual representation provided via the strength bar at the bottom of the indicator panel.
HOW TO READ THE OSCILLATOR PLOT
OSCILLATOR LINE (Main Line):
- Ranges from -100 to +100
- Above zero indicates bullish momentum
- Below zero indicates bearish momentum
- Color intensity reflects momentum direction and strength
- Glow effect (optional) enhances visibility of the main reading
SIGNAL LINE (Secondary Line):
- Smoothed version of the oscillator
- Crossovers indicate momentum shifts
- Purple/accent colored for visual distinction
HISTOGRAM BARS:
- Represent the difference between oscillator and signal line
- Increasing histogram in direction of oscillator confirms momentum
- Decreasing histogram warns of potential momentum shift
- Bright colors indicate increasing momentum
- Faded colors indicate decreasing momentum
ZONE INTERPRETATION:
+75 to +100 (Extreme Bullish Zone):
Very strong bullish momentum. Price has moved significantly and rapidly. Watch for exhaustion patterns. Not ideal for new long entries. Consider profit-taking on existing longs.
+50 to +75 (Strong Bullish Zone):
Healthy bullish momentum. Good conditions for trend-following long strategies. Pullbacks to signal line often provide continuation opportunities.
0 to +50 (Mild Bullish Zone):
Positive but moderate momentum. Trend may be developing or maturing. Watch for strength building or fading.
0 to -50 (Mild Bearish Zone):
Negative but moderate momentum. Downtrend may be developing or maturing. Watch for weakness building or recovering.
-50 to -75 (Strong Bearish Zone):
Healthy bearish momentum. Good conditions for trend-following short strategies. Rallies to signal line often provide continuation opportunities.
-75 to -100 (Extreme Bearish Zone):
Very strong bearish momentum. Price has moved significantly and rapidly to downside. Watch for exhaustion patterns. Not ideal for new short entries. Consider profit-taking on existing shorts.
HOW TO READ THE DASHBOARD
The dashboard provides comprehensive market analysis at a glance. Each row displays specific information:
OSCILLATOR ROW:
Shows current oscillator value with directional icon.
indicates reading above +50 (High)
indicates reading below -50 (Low)
DIRECTION ROW:
Current MFB direction.
BULLISH: Recent MFB formed upward
BEARISH: Recent MFB formed downward
NEUTRAL: No recent MFB or unclear
REGIME ROW:
Current market regime classification.
EXPLOSIVE / STEADY / CONSOLIDATING / DEAD
Color coded for quick recognition.
MARKET ROW:
Trend state assessment.
TRENDING UP: Confirmed uptrend in progress
TRENDING DN: Confirmed downtrend in progress
CHOPPY: No clear trend, high direction changes
MIXED: Partial trend characteristics
STRENGTH ROW:
Visual bar showing trend strength percentage.
More filled bars indicate stronger trend.
Color shifts from red (weak) to yellow (moderate) to green (strong).
VELOCITY ROW:
MFB formation speed status.
ACCELERATING: MFBs forming faster over time
STEADY: Consistent formation speed
DECELERATING: MFBs forming slower over time
MOMENTUM ROW:
Momentum development status.
BUILDING: Momentum increasing
PEAK: Maximum momentum reached
EXHAUSTING: Momentum declining despite same direction
HTF ALIGN ROW:
Higher timeframe alignment status.
BULL: HTF supports bullish bias
BEAR: HTF supports bearish bias
DIVERGENT: HTF opposes current direction
NEUTRAL: HTF unclear
FORMING ROW:
Progress toward next MFB formation.
Visual bar fills as price approaches formation threshold.
Helps anticipate when next MFB will complete.
Additional rows (when not in Compact Mode):
- Flux Size: Current MFB formation threshold value
- ATR Mult: Current optimized ATR multiplier (when auto-optimization enabled)
- Regime %: Numerical regime score
FORMATION PROGRESS INDICATOR
The horizontal line near the bottom of the indicator panel shows progress toward the next MFB formation.
Reading the Progress Line:
- Starts at baseline after each MFB completion
- Rises as price moves toward formation threshold
- Higher position indicates imminent MFB formation
- Color changes from neutral to accent to warning as formation approaches
Practical Use:
- Anticipate when new momentum data will become available
- Gauge intra-bar momentum development
- Understand why signals occur when they do
TREND STRENGTH BAR
The horizontal bar at the very bottom of the indicator displays trend strength visually.
Components:
- Gray background bar represents full scale (0-100%)
- Colored fill represents current strength reading
- Label displays exact percentage value
Color Interpretation:
- Green fill: Strong trend (above 70%)
- Yellow fill: Moderate trend (40-70%)
- Red fill: Weak trend (below 40%)
RECOMMENDED USAGE GUIDELINES
TIMEFRAME RECOMMENDATIONS:
Scalping (1m to 5m):
- Use lower Flux Period (8-10) for faster response
- Focus on oscillator crossovers and histogram momentum
- Regime should be STEADY or EXPLOSIVE for best results
Day Trading (5m to 30m):
- Default settings work well
- Use HTF alignment with 1H or 4H for confirmation
- Avoid trading when regime shows DEAD
Swing Trading (1H to 4H):
- Consider higher Flux Period (18-21) for smoother signals
- Regime classification becomes very valuable
- Velocity divergence provides excellent early warnings
Position Trading (Daily and above):
- Higher Flux Period (21-30) recommended
- Focus on regime changes and exhaustion patterns
- HTF alignment less relevant, oscillator zones more important
ASSET CLASS NOTES:
Forex: Works well on major pairs. Consider slightly higher sensitivity on less volatile pairs.
Crypto: Higher volatility may require lower sensitivity multiplier. Regime detection particularly useful.
Stocks: Excellent for liquid stocks. Less effective on illiquid names due to gappy price action.
Indices: Very effective. Clean price action produces clean MFB patterns.
Commodities: Works well, especially on gold and oil. Adjust sensitivity for different volatility profiles.
SETTINGS OVERVIEW
MODE AND THEME:
- Trading Mode: Simple (clean), Pro (full data), Hybrid (balanced)
- Visual Theme: Dark, Light, Neon, Stealth
- Compact Dashboard: Reduces dashboard rows
FLUX ENGINE:
- Flux Calculation Method: Choose optimization approach
- Enable Auto-Optimization: Let indicator find optimal parameters
- Flux Period: Base volatility calculation period
- Sensitivity Multiplier: Adjust MFB formation threshold
- Optimization Lookback: Bars analyzed for optimization
- Optimization Frequency: How often to re-optimize
OSCILLATOR:
- Oscillator Smoothing: Main line smoothness
- Signal Line Length: Signal line responsiveness
- Momentum Depth: MFBs analyzed for oscillator
- Histogram Scale: Visual scaling of histogram
MARKET STATE:
- Chop Detection Window: MFBs analyzed for chop detection
- Chop Threshold: Sensitivity of chop classification
- Min Trend Confirmation: Consecutive bars for trend confirmation
ADVANCED ANALYSIS:
- Enable Regime Classification: Market regime detection
- Enable Velocity Divergence: Formation speed analysis
- Enable Exhaustion Detection: Trend exhaustion warnings
- Enable HTF Alignment: Higher timeframe checking
- Higher Timeframe: Which timeframe to check
VISUALS:
- Glow Effect: Visual enhancement on oscillator
- Show Zone Fills: Background zone coloring
- Show Formation Progress: Progress indicator display
- Show Trend Strength Bar: Bottom strength bar
- Show Dashboard: Information panel display
- Dashboard Position: Corner placement
SIGNAL INTERPRETATION GUIDELINES
BULLISH MOMENTUM SHIFT:
Oscillator crosses above signal line while not in extreme bearish territory.
Suggests emerging bullish momentum.
Stronger when occurring near zero line or in mild bearish zone.
BEARISH MOMENTUM SHIFT:
Oscillator crosses below signal line while not in extreme bullish territory.
Suggests emerging bearish momentum.
Stronger when occurring near zero line or in mild bullish zone.
STRONG TREND CONDITIONS:
Oscillator beyond +/-55, in direction of signal line, trend strength above 55%, not choppy.
Indicates conditions favorable for trend-following approaches.
EXTREME ZONES:
Oscillator beyond +/-75.
Diamond markers appear.
Exercise caution with new positions in trend direction.
Watch for exhaustion and divergence signals.
ALERT SYSTEM
The indicator includes comprehensive alerts for automated monitoring:
Momentum Alerts:
- Bullish Momentum Shift
- Bearish Momentum Shift
- Strong Uptrend Initiated
- Strong Downtrend Initiated
Zone Alerts:
- Extreme Bullish Zone Reached
- Extreme Bearish Zone Reached
Market State Alerts:
- Choppy Conditions Detected
- Choppy Conditions Cleared
- Explosive Regime Entered
- Dead Regime Entered
Advanced Alerts:
- Velocity Divergence Detected
- Exhaustion Warning Triggered
- HTF Aligned Bullish
- HTF Aligned Bearish
- HTF Divergence Detected
MFB Alerts:
- Bullish MFB Formed
- Bearish MFB Formed
WHAT THIS INDICATOR IS NOT
This indicator is NOT:
- A buy/sell signal generator (it provides momentum context, not trade signals)
- A standalone trading system (combine with price action and other analysis)
- A guarantee of profitability (no indicator can guarantee results)
- A replacement for risk management (always use proper position sizing and stops)
- A mashup of existing indicators (this is original methodology)
ORIGINALITY STATEMENT
The Momentum Flux Bars concept was designed specifically to address limitations of time-based momentum calculations.
Every component of this system serves the central MFB methodology:
- The oscillator measures MFB directional weight
- The regime classifier interprets MFB patterns
- The velocity analysis tracks MFB formation speed
- The exhaustion detector monitors MFB duration progression
- The HTF alignment checks MFB direction across timeframes
This is a unified analytical framework, not a collection of separate indicators.
TECHNICAL NOTES
Non-Repainting Confirmation:
All signal generation uses confirmed bar data only. MFB formations occur on bar close. Historical signals will not change after they appear.
Performance Considerations:
Auto-optimization runs periodically, not every bar, to maintain performance.
MFB history is trimmed to prevent memory issues on extended sessions.
Reduce Max MFB History if experiencing performance issues.
Symbol and Timeframe Handling:
The indicator resets its MFB history when symbol or timeframe changes.
This ensures clean analysis without carryover from previous contexts.
DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice and should not be considered as such.
Trading involves substantial risk of loss. Past performance of any trading methodology or indicator does not guarantee future results. The author makes no representations regarding the profitability or suitability of this indicator for any particular purpose.
Users are solely responsible for their own trading decisions. Always use proper risk management, including appropriate position sizing and stop-loss orders. Never risk more than you can afford to lose.
Before using this or any indicator in live trading, thoroughly test it on historical data and in a demo environment. Understand its behavior across different market conditions.
The author is not liable for any losses incurred through the use of this indicator.
Developed by BullByte
Version 1.0.0
ORACLE v13: The Gamified Market HUDORACLE v13 is not just an indicator; it is a complete Trading HUD (Heads-Up Display) that translates complex market data into an intuitive, video-game-style interface. It turns abstract concepts like "volatility" and "support/resistance" into actionable game mechanics, allowing you to react faster and trade smarter.
⚔️ Key Features:
🛡️ Boss & Shield Mechanics (Support/Resistance):
Automatic detection of key levels visualized as "Bosses" (Resistance) and "Shields" (Support).
HP System: Watch price "damage" these levels in real-time. When "Boss HP" hits zero, a breakout is imminent.
🔮 The Bestiary (Market Conditions):
Instantly identifies the "Enemy Type" you are fighting:
🟢 SLIME: Squeeze zone (low volatility, prepare for a move).
👺 GOBLIN: Chop/Noise (high risk, avoid trading).
🐉 DRAGON: Strong Trend (ride the momentum).
👹 BERSERKER: Extreme Volatility (proceed with caution).
📈 Live Structure Mapping:
Real-time ZigZag overlays with automatic HH/LL/LH/HL labels.
Breakout Flash: Candles flash WHITE instantly when major structure or Boss levels are broken.
🎮 Combat Stats:
Combo Counter: Tracks consecutive directional candles.
Aggro Meter: Visualizes volume intensity.
Loot Drop Rate: innovative metric calculating the probability of a profitable move based on current ATR.
Momentum Bar: RPG-style health bar for trend strength.
Why use ORACLE? Most indicators just draw lines. ORACLE gives you Context. It tells you exactly what kind of market environment you are in so you never bring a knife to a Dragon fight. Perfect for scalpers and day traders who need instant situational awareness.
Settings: Fully customizable Lookback periods, ZigZag sensitivity, and Visual Themes.
SuperBandsThis script combines two of the most powerful trading tools into a single indicator: Supertrend for trend following and Bollinger Bands for volatility analysis. This combo allows you to save your limited indicator slots on TradingView while keeping your chart clean.
BigLot Quantum SuperTrend V1BigLot Quantum SuperTrend V1 is a trend-following indicator that enhances the traditional SuperTrend by integrating statistical volume analysis.
The script combines an ATR-based SuperTrend engine with Kernel Density Estimation (KDE) applied to relative buy and sell volume. Volume behavior is modeled statistically, allowing the indicator to filter breakout signals and activate only when volume conditions show high probability compared to historical data.
Bullish and bearish signals are generated when price crosses the SuperTrend line and the corresponding volume probability exceeds a user-defined threshold. This approach helps reduce false signals during low-liquidity or sideways market conditions.
The script includes visual trend highlighting, probability-based confidence filtering, and a real-time dashboard displaying trend direction, volume strength, and signal status. It is designed to work across all markets and timeframes without repainting.
Hybrid CCI Scalper ProHybrid CCI Scalper Pro is a sophisticated trading system designed to solve the biggest problem in scalping: False Signals in Choppy Markets.
Unlike standard CCI indicators that fire on every crossover, the HCS Pro uses a Hybrid Logic Engine that distinguishes between high-probability Trend Continuations and powerful Reversal Setups. It processes every potential entry through a 6-factor "Quality Filter" before generating a signal.
Core Features:
1. The Hybrid Signal Engine The script identifies two distinct market conditions:
TREND Mode: Triggers when price is aligned with the Daily/Local trend AND the CCI angle is steep.
REVERSAL Mode (REV): Triggers only on Extreme Momentum (steep angle) combined with a Zero-Line cross, allowing you to catch tops and bottoms without waiting for lagging trend indicators.
2. The Quality Scoring System (Q-Score) Every signal is rated from 0 to 6 stars based on confluence. The signal label shows Q: 4/6, Q: 5/6, etc.
Score 4+: High probability (Recommended).
Score 6: "The Perfect Storm" – All filters (Trend, Volume, RSI, ADX) align.
3. The "Ironclad" Filters To eliminate fake-outs, the script enforces strict rules:
Candle Color Guard: Never Buys on a Red candle or Sells on a Green one.
Angle validation: Flat CCI movement is ignored.
MTF Trend: Checks the Daily timeframe (D1 EMA) to ensure you aren't scalping against the major flow.
Noise Filter: Uses ATR and Volume to ignore low-volatility "dead" markets.
4. The Information Panel A clean dashboard on the top-right displays real-time metrics:
Current Daily Trend (Bull/Bear)
Momentum Strength (Weak/Strong/Extreme)
ADX Power (Trending vs Ranging)
Live Signal Score
How to Trade:
BUY Signal: Look for a Green Triangle. Ideally, the Label should say TREND or REV with a Quality Score of 4/6 or higher.
SELL Signal: Look for a Red Triangle with a high Quality Score.
No Signal? If the panel says "WAIT" or the score is low, the market is likely choppy. Stay out.
Recommended Settings:
Gold (XAUUSD): Works best on 15m.
Forex (EURUSD): Works well on 5m - 15m.
Default settings are optimized for a balance between frequency and accuracy.
Infinity Algo█ OVERVIEW
Infinity Algo is an all-in-one signal system with 5 entry modes, 6 take-profit levels, and built-in Auto-Tune optimization.
Switch between trend-following, contrarian, and sniper modes based on market conditions — all within one indicator. Auto-Tune tests 500+ parameter combinations to selects the best-scoring settings from historical simulations.
Includes on-chart TP/SL visualization, trailing stop modes, and webhook-ready alerts.
█ KEY FEATURES
✅ 5 Signal Modes: Normal, Smart, AI, HL Sniper, AI Sniper
✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal
✅ 6 Take-Profit Levels with on-chart visualization
✅ Trailing Stop-Loss (Breakeven / Moving Target)
✅ Auto-Tune Parameter Optimization
✅ Visual Helpers: Bar coloring, gradient background, "signal coming" markers
✅ Built-in alert conditions for automation
✅ Designed for crypto, forex, stocks, indices, and commodities
█ WHAT MAKES THIS INDICATOR DIFFERENT
🧠 Auto-Tune Engine
Most indicators use static settings that fail when volatility shifts. Auto-Tune tests 500+ parameter combinations in the background — varying sensitivity, thresholds, and trigger configs — selects the best-scoring settings from historical simulations.
Choose from 12 scoring metrics: Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN, Martin Ratio, GPR, Win Rate, Total Profit, Average Profit, Profit Factor, and more.
Note: Auto-Tune is systematic parameter optimization on historical data — not predictive AI. Past performance does not guarantee future results.
🎯 Multi-Mode Signal System
One indicator, five signal modes:
Normal: Contrarian entries against the trend filter
Smart: Trend-following entries with the trend filter
Auto-Tune: Auto-optimized momentum signals
HL Sniper: More selective trend triggers
Auto-Tune Sniper: Auto-optimized sniper configuration
🛡️ Adaptive Risk Management
Trailing SL modes that respond to your TP hits — not arbitrary price levels. Lock in breakeven or ratchet your stop as profit grows.
👁️ Anticipation Markers
"Possible Long/Short Coming" labels appear when momentum approaches signal levels — giving you time to prepare before the signal fires.
█ SIGNAL MODES EXPLAINED
Normal + Smart (Default)
The dual-mode system that adapts to market conditions:
Normal Signals: Momentum threshold cross against the trend filter — contrarian plays for reversals and range boundaries
Smart Signals: Momentum threshold cross with the trend filter — trend-following plays for continuation moves
Auto-Tune Mode
Let the optimization engine find best-scoring settings:
Tests 500+ parameter combinations against historical data
Simulates trades using your configured TP/SL levels
Scores each configuration by your chosen metric (Sharpe, Sortino, Win Rate, etc.)
Walk-Forward: Re-optimizes every N bars to adapt to regime changes
Static: Locks in best-scoring settings from full available history
HL Sniper
For traders who prefer quality over quantity:
Trend-trigger mode for more selective entries
Fewer signals, more selective setups
Best suited for volatile markets where patience matters
Auto-Tune Sniper
Combines sniper selectivity with automatic optimization:
Optimizes RSI period, smoothing factor, and trigger sensitivity
Adapts configuration based on historical performance
Selective entries + adaptive parameters
█ EXIT & RISK MANAGEMENT
Percentage Targets
Up to 6 TP levels (TP1…TP6) with on-chart lines and labels
Configure price distance (%) and position size (%) for each level
Designed for scaling out positions systematically
Signal Step-Outs
Momentum-shift condition triggers partial exits
Optional higher-timeframe confirmation for stronger signals
"New TP Must Beat Last" prevents weak consecutive exits
Opposite Signal
Closes/flips position when the next opposite entry signal appears
Simple and effective for trend-following systems
Stop-Loss & Trailing
Fixed SL as % from entry (configurable separately for long/short)
Breakeven: Moves SL to entry price after chosen TP is hit
Moving Target: Advances SL to previous TP level as profit grows
█ VISUAL HELPERS
On-Chart TP/SL Lines: See your targets and stops directly on the chart
Bar Coloring: Candles colored by current signal bias
Background Gradient: Visual confirmation of position direction
"Possible Signal Coming" Markers: Anticipate entries before they trigger
Peak Profit Label: Track maximum unrealized profit during trades
█ AUTO-TUNE DASHBOARD
When Auto-Tune is enabled, the dashboard displays:
Current Parameters: Active sensitivity, thresholds, or sniper config
Simulated Performance: Trade count, win rate, P&L from internal backtest
Confidence Score: Stability indicator based on agreement among top configurations
Note: Auto-Tune is automated parameter selection on historical data — not predictive AI. It cannot guarantee future performance.
█ USE CASES
📈 Trending Markets
Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to maximize winners.
📉 Ranging / Choppy Markets
Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets and quicker exits work best.
⚡ High Volatility / News Events
Use "HL Sniper" for selective entries. Fewer signals, more selective. Wider SL to accommodate volatility.
🧪 New Asset / Unfamiliar Market
Enable "AI" mode and let Auto-Tune find optimal parameters. Great for exploring new markets without manual optimization.
🤖 Automation & Bots
Structured alert payloads work with popular bot platforms and custom webhooks. Entry + 6 TPs + SL in one alert.
█ HOW TO USE
Apply to your chart (any timeframe, any market)
Choose your signal mode based on market conditions
Pick your direction (Long / Short / Both)
Select exit mode: Percentage, Signals, or Opposite Signal
Configure TP levels and position sizing
Enable Stop-Loss and choose a trailing mode
Optional: Enable Auto-Tune for adaptive optimization
Set alerts for signals and TP/SL events
█ ALERTS
Built-in alert conditions for:
All entry signal types (Normal, Smart, AI, HL Sniper, AI Sniper)
TP hits (percentage levels or signal-based steps)
SL touch events
"Possible Long/Short Coming" anticipation markers
Tip: Create separate alerts for each condition. Use TradingView placeholders ({{ticker}}, {{close}}) in your alert messages.
█ WORKS ON
Crypto
Forex
Stocks
Indices
Commodities
█ REALISTIC EXPECTATIONS
No indicator wins 100% of the time — this is no exception
Signals should be combined with your own analysis
Auto-Tune optimizes on past data — it cannot predict the future
Always use proper position sizing and risk management
Paper trade or backtest before risking real capital
█ LIMITATIONS
Signals and overlays are decision-support tools — they cannot eliminate losses
Auto-Tune can overfit if used without out-of-sample validation
Multi-timeframe logic confirms on higher-TF closes — slight delay is expected
Best evaluated on standard candles with realistic fee/slippage assumptions
█ DISCLAIMER
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
GardFx - Fusion Pro FREE TrialFusion Pro - by GardFx
This script is a specialized session-trading system designed to capitalize on the Opening Range Breakout (ORB) by utilizing Fair Value Gaps (FVG) as entry confirmation zones. Unlike standard breakout indicators that signal immediately upon a range break, this system waits for a price retest (mitigation) of specific imbalances created during the breakout move.
Core Concept
The strategy operates on a three-step logic sequence:
Define the Range: It establishes the High and Low of the opening session (London or New York).
Identify Imbalance: Upon a breakout of this range, the script scans for the creation of a Fair Value Gap (FVG) on the 1-minute timeframe.
Confirm Entry: It waits for price to retrace into the FVG (mitigation) and looks for specific candle confirmation patterns before generating a signal.
Detailed Methodology
1. The Opening Range (ORB)
The script monitors the first 15 minutes of the session (configurable).
High Line: The highest price reached during the first 15m.
Low Line: The lowest price reached during the first 15m.
Breakout: A breakout is validated when a candle closes outside of this defined range.
2. Fair Value Gap (FVG) Detection
Shutterstock
Not all breakouts are valid. This script filters for momentum by requiring an FVG to form immediately following the breakout.
Bullish FVG: Defined when the Low of Candle 1 is higher than the High of Candle 3.
Bearish FVG: Defined when the High of Candle 1 is lower than the Low of Candle 3.
Note: If an FVG is not formed shortly after the breakout, the setup is considered low-probability and ignored.
3. Entry Confirmation Models Once an FVG is identified and price returns to mitigate it, the script offers three confirmation modes:
Instant (First Touch): Aggressive entry immediately when price touches the FVG box.
Reversal Close: Waits for a candle to close in the direction of the trend after touching the FVG (e.g., a green candle close after dipping into a bullish FVG).
Engulfing Candle: The most conservative filter. Requires a full engulfing candle pattern occurring within or bouncing off the FVG.
4. Advanced Filters To reduce false signals during choppy markets, two optional filters are included:
Volume Filter: Requires the breakout candle's volume to be higher than its Moving Average (multiplied by a user-defined factor).
Higher Timeframe (HTF) Trend: Checks the trend on a higher timeframe (e.g., 1H or 4H).
Logic: If the HTF Close is > HTF EMA 50, only Buy signals are permitted. If HTF Close < HTF EMA 50, only Sell signals are permitted.
5. Risk Management The script includes an automated Risk/Reward calculator.
Stop Loss (SL): Placed at the invalidation point of the FVG structure, plus an optional ATR buffer to account for volatility.
Take Profit (TP): Calculated based on a user-defined Risk:Reward ratio (e.g., 1:2) relative to the Stop Loss distance.
Dashboard A multi-timeframe dashboard is displayed to provide a "Glance View" of market bias across the Daily, 4H, 1H, and 15M timeframes, ensuring trades are aligned with macro momentum.
3 hours ago
Release Notes
🚀 GardFx - Fusion Pro V2: The Ultimate ORB & ICT Suite
Welcome to Version 2.0 of Fusion Pro. This update transforms the indicator from a simple breakout tool into a complete institutional trading system. We have integrated Multi-Timeframe (MTF) logic, Candlestick Pattern recognition, and Smart Exit management to filter out noise and catch high-probability moves.
🔥 NEW FEATURES IN V2:
1. 🧠 Smart MTF Bias & Voting System
No more guessing the trend. The script now checks Daily, 4H, 1H, and 15m timeframes.
Voting Logic: A trade is only signaled if the higher timeframes agree (e.g., 2 out of 3 votes).
Visuals: The dashboard displays the live bias for every timeframe.
2. 🎯 Advanced Entry Confirmations We have added specific trigger patterns to reduce fake-outs. You can now choose your entry style:
🦄 Unicorn Setup: ORB Level + FVG overlap.
🕯️ Candlestick Patterns: Pinbar, Engulfing, Tweezer Tops/Bottoms, and Inside Bar.
📉 FVG 50%: Wait for price to retrace to the 50% equilibrium of the gap before entering.
3. 🛡️ Entry Validation Modes Control exactly when the entry label fires:
Instant: Enters immediately upon touch.
Candle Close: Waits for the candle to close in your direction.
Break of High/Low: Places a pending order at the wick; only enters if momentum breaks that level.
Wait for MSS: Waits for a Market Structure Shift (local high/low break).
4. 💰 Dynamic Smart Exit (Secure TP)
A new Volume-Based Exit Manager detects sudden momentum shifts or volume spikes against your position.
It prints a "Secure TP" label to help you bank profits before a reversal occurs, even if the fixed TP hasn't been hit.
5. 📊 Enhanced Dashboard & Stats
Tracks Win/Loss rates separately for Asia, London, and New York sessions.
Weekly and Daily stats reset automatically.
Fully customizable size and position.
6. ⚡ Automated UK Sessions
Built-in timings for Asia, London, and New York based on UTC (London) time. No more timezone conversion headaches.
MarketMind LITEM🜁rketMind LITE ────────────────────
Essential Market Awareness, Reduced to Its Core
M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context .
It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance.
This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making.
WHAT IT DOES ────────────────────
M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis.
The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction.
The script provides visibility into:
Time-of-day session context
Basic market regime classification (trending, range-bound, mixed)
Short-term momentum direction only (up, down, neutral)
A clean, static HUD display
M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience.
The goal is to support awareness without influence .
HOW TO USE IT ────────────────────
M🜁rketMind LITE is not a signal generator.
It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution.
Common use cases include:
Maintaining session awareness
Preserving context during focused trading periods
Reducing cognitive load while monitoring markets
M🜁rketMind LITE does not evaluate risk, alignment, or opportunity.
It simply shows what is happening.
DESIGN PHILOSOPHY ────────────────────
M🜁rketMind LITE is intentionally minimal.
It includes only essential awareness elements and excludes all interpretive or evaluative logic:
Situational context only
Directional momentum (up / down / neutral)
No diagnostics, confidence, or conviction framing
No process, risk, or quality assessment
Presentation controls only (HUD on/off, size, position)
Nothing is inferred.
Nothing is suggested.
This script shows market state without interpretation.
WHO IT IS FOR ────────────────────
M🜁rketMind LITE is suited for traders who:
Want passive situational awareness
Prefer minimal on-chart information
Already operate with a defined decision process
It is not designed for:
Analytical or diagnostic use
Risk evaluation or context synthesis
Traders seeking guidance or confirmation
IMPORTANT NOTES ────────────────────
M🜁rketMind LITE does not provide financial advice
No system can predict future price behavior
This tool is designed for awareness only
Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
Phantom Trend Filter [BOSWaves]Phantom Trend Filter - Volatility-Gated Trend Mapping with Fake Move Suppression
Overview
Phantom Trend Filter is a market-state and trend-validation framework designed to help traders distinguish between directional opportunity and structural noise. Rather than attempting to predict price or generate constant entry signals, Phantom focuses on identifying when trend information is reliable and when it should be ignored.
Most indicators attempt to remain active at all times. Phantom does the opposite. It is built around the idea that markets frequently enter conditions where directional interpretation is misleading - whether through consolidation, volatility expansion, artificial momentum bursts, or weak underlying trend participation. In these phases, acting on trend information often leads to poor trade quality. Phantom is designed to recognize these environments and deliberately suppress bias during them.
The result is an indicator that spends a meaningful amount of time telling the trader not to trade.
Conceptual Alignment and Regime Philosophy
Phantom operates on a regime-aware philosophy similar to advanced volatility frameworks: markets transition through identifiable states, and not all states are suitable for directional interpretation.
Rather than measuring opportunity by price movement alone, Phantom evaluates whether participation, volatility behavior, and directional imbalance are aligned. When these elements diverge, trend interpretation becomes statistically fragile. Phantom reframes trend analysis away from constant engagement and toward conditional relevance. It does not ask where price is likely to go, but whether directional reasoning is currently justified at all.
Structural Trend Framework
At its core, Phantom Trend Filter employs a low-lag filtering mechanism designed to model price behavior across two distinct temporal sensitivities. One component responds rapidly to immediate price pressure, while the other captures broader directional context. Together, they form an adaptive structure that tracks price fluidly without relying on fixed bands, static smoothing, or conventional averaging assumptions.
Rather than treating these components as isolated signals, Phantom interprets their interaction as a cohesive trend framework. The space between them defines an active zone where price engagement conveys information about market participation, continuation strength, or emerging exhaustion. A dynamically calculated balance reference within this structure reflects the equilibrium between short-term pressure and higher-order directional force.
Trend direction is derived strictly from relative structural positioning, not exaggerated slope changes or reactive trigger events. This design minimizes over-responsiveness and maintains structural integrity during consolidation phases, avoiding the constant recalibration common in traditional trend tools.
Market State Awareness and Filtering Philosophy
Trend indicators often fail not because their logic is incorrect, but because they are applied indiscriminately across all market states. Phantom is built around the assumption that trend logic is only meaningful when certain conditions are met.
To address this, Phantom incorporates multiple independent measurements designed to assess whether current price movement represents genuine directional intent or transient distortion. These measurements do not attempt to forecast price; instead, they evaluate quality.
Volatility is assessed relative to historical baselines rather than absolute expansion. Momentum is normalized to avoid reacting to short-lived impulses. Trend strength is evaluated through directional imbalance rather than price slope alone. Price behavior is examined for whipsaw characteristics, where range expansion lacks follow-through. Consolidation is detected when price variance collapses relative to recent volatility.
Each of these components serves a single purpose: to decide whether trend interpretation should be trusted.
State-Based Regime Transitions
Phantom internally classifies market behavior into functional states rather than continuous gradients. These states are expressed visually through color, structure, and suppression rather than explicit labels.
A validated trend state emerges only when structural alignment, normalized volatility behavior, and directional imbalance agree. In contrast, when destabilizing forces dominate — such as volatility distortion, weak participation, compression, or whipsaw behavior - Phantom enters a suppressed state and removes directional bias entirely.
Transitions between these states are deliberately conservative. Phantom requires stabilization before re-enabling trend interpretation, preventing rapid flip-flopping during unstable market phases.
Fake Move Identification
When one or more destabilizing conditions are detected, Phantom classifies the environment as unreliable. These situations often correspond to what traders colloquially refer to as fake pumps, fake dumps, stop hunts, or algorithmic noise - though Phantom does not rely on labels or narrative.
In these states, Phantom intentionally removes directional bias. The indicator does not attempt to guess the eventual outcome of the move. Instead, it signals that any directional interpretation at that moment is statistically weaker.
This design choice is intentional and conservative. Phantom prioritizes capital protection and decision clarity over constant engagement.
Relationship to Volatility and Participation
Although Phantom is not a volatility oscillator, volatility behavior plays a critical contextual role in its filtering logic.
Rather than reacting to absolute volatility expansion, Phantom evaluates volatility relative to recent structural norms and directional participation. Elevated volatility without directional imbalance is treated as noise. Directional imbalance without supportive volatility structure is treated as fragile. This allows Phantom to suppress visually convincing but structurally weak moves - the type most commonly responsible for overtrading and stop-outs.
Visual Communication and Interpretation
Phantom communicates market state primarily through color and structure rather than symbols, markers, or signal arrows. This is a deliberate design decision aimed at reducing cognitive load.
When conditions validate a bullish environment, the Phantom structure and candles adopt a bullish color (green). When bearish conditions are validated, the structure reflects that state, adopting a bearish color (red). When filtering conditions dominate, the indicator shifts into a neutral gray state across bands, fills, and candles.
Gray is not indecision — it is information. It communicates that the system’s internal conditions do not support directional conviction. Traders are expected to interpret this as a stand-aside environment or as a warning against aggressive execution.
Adaptive Behavior and Trading Styles
Phantom offers two operational modes that adjust its sensitivity without altering its underlying philosophy. A faster mode responds more quickly to changes in price structure and is more suitable for lower timeframes or scalping environments. A slower mode increases stability, favoring higher timeframes and swing-based decision-making.
Importantly, neither mode attempts to optimize for signal frequency. Both prioritize environment validation first and directional interpretation second.
Use Cases
Use Case 1: Trend Participation With Built-In Noise Suppression
Phantom Trend Filter is designed for traders who want directional exposure without getting chopped to death. The adaptive trend structure highlights when price is being accepted within a dominant directional regime, while automatically muting conditions associated with weak participation, consolidation, or engineered volatility.
When the Phantom zone is colored and stable, it signals that price is operating within a structurally supported trend environment. When the zone turns neutral, it’s not indecision — it’s a warning that directional assumptions are statistically weak and capital should be protected. This makes Phantom especially effective as a trend permission filter rather than a trigger generator.
Use Case 2: Fake Pump / Dump Avoidance in High-Volatility Markets
In fast-moving or thin-liquidity conditions, Phantom excels at identifying structurally invalid moves - sharp expansions driven by volatility spikes, momentum bursts, or whipsaw price behavior that lack trend integrity. Instead of chasing candles, traders can use Phantom’s neutral state to stand aside during manipulated or exhaustion-driven moves, then re-engage only when price behavior realigns with sustained directional pressure.
Alerts and Practical Integration
Alerts within Phantom are intentionally conservative. Directional alerts only trigger when trend conditions are met and filtering logic is inactive. This ensures alerts correspond to structurally valid environments rather than transient fluctuations.
An additional alert notifies the user when Phantom detects unreliable conditions. This is not an entry or exit signal, but a contextual warning that trend-based logic may be compromised.
Phantom is best used as a filtering and confirmation layer rather than a standalone strategy. It pairs naturally with execution-based systems, structure tools, or discretionary price action approaches that benefit from knowing when trend bias is valid.
Design Intent and Limitations
Phantom Trend Filter is not designed to call tops or bottoms. It is not optimized for maximum trade frequency. It will intentionally keep traders out of the market during extended periods of uncertainty.
This is not a flaw. It reflects a design philosophy centered on reducing poor-quality decisions rather than maximizing engagement.
Traders who expect constant activity will find Phantom restrictive. Traders who prioritize clarity, patience, and structural alignment will find it useful.
What Phantom Is Not
Phantom is not a signal generator. It is not a predictive model. It is not designed to extract profit from every phase of the market.
Its value emerges through omission - by identifying when trend logic should not be applied.
Integration With Execution and Structure Tools
Phantom is most effective when paired with tools that answer how to execute rather than whether to engage. In this role, Phantom acts as a gating mechanism, conditioning execution logic rather than replacing it.
Operational Expectations
Phantom will spend extended periods in a neutral state. This behavior is intentional.
Markets spend more time transitioning, compressing, and distorting than trending cleanly. Phantom reflects this reality rather than obscuring it.
Final Notes
No indicator removes risk. No filter eliminates losses. Phantom does not attempt to outperform the market; it attempts to improve the conditions under which decisions are made.
Used correctly, it helps traders trade less - but trade better.
Risk Disclaimer
Phantom Trend Filter is a professional-grade trend-regime and volatility-filtering tool provided for educational and informational purposes only and does not constitute financial advice. It does not predict future price movement and does not guarantee profitability. Trading involves significant risk, and past performance is not indicative of future results. Performance depends on market conditions, parameter selection, disciplined execution, and proper risk management. Users are solely responsible for their own analysis, risk controls, and execution decisions.
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time.
The script identifies four structural states based on price behavior and trend continuity:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
This indicator is intended for market structure analysis and educational purposes only.
It does NOT provide trading signals, buy/sell recommendations, or investment advice.
All labels are generated based on historical price data and do not predict future market movements.
Users should combine this tool with their own analysis and risk management framework.
This script is provided "as is" with no guarantee of accuracy or performance.
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways.
Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation.
█ WHAT IT DOES
• Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress
• Exposes Net Displacement (how far price actually moved)
• Exposes Path Length (total distance price traveled)
• Calculates Chop Cost (wasted movement)
• Visual zones for high/mid/low efficiency states
█ WHAT IT DOES NOT DO
• NO signals, NO entries/exits, NO buy/sell
• NO performance claims
• NO predictions — purely diagnostic
• This is a tool for understanding price behavior
█ HOW IT WORKS
The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?"
🔹 THE MATH
Over a lookback period of N bars:
Net Displacement = |Close - Close |
Path Length = Σ |Close - Close | for all bars
Efficiency Ratio = Net Displacement / Path Length
🔹 INTERPRETATION
• Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress
• Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop
• Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise
🔹 CHOP COST
This is the "wasted movement" — how much price traveled without making progress:
Chop Cost = Path Length - Net Displacement
Chop % = Chop Cost / Path Length
High chop cost means lots of effort for little result — a warning sign for trend traders.
█ VISUAL GUIDE
Three efficiency zones:
• GREEN (≥70): High efficiency — strong directional movement
• YELLOW (30-70): Mixed efficiency — some progress, some chop
• RED (<30): Low efficiency — mostly noise, little progress
█ INPUTS
Lookback Length (default: 14)
Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes.
Smoothing Length (default: 5)
EMA smoothing applied to the output. Reduces noise in the efficiency reading.
Apply Smoothing (default: true)
Toggle EMA smoothing on/off.
Scale Mode (default: 0–100)
Display as percentage (0-100) or decimal ratio (0-1).
Show Reference Bands (default: true)
Display the high/low efficiency threshold lines.
Low/High Efficiency Level (default: 30/70)
Thresholds for classifying efficiency zones.
Overlay Effect (default: None)
• None: No overlay
• Background Tint: Subtle chart background color in high/low zones
• Bar Highlight: Color bars during low efficiency periods
Show Data Window Values (default: true)
Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis.
█ USE CASES
This indicator helps traders understand:
• Why some trends are "clean" and others are "messy"
• When price is consolidating vs trending (without using volume)
• The relationship between movement and progress
• Why high-chop environments are difficult to trade
This is the foundational concept behind more advanced regime detection systems.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes
Note: This is a price-only indicator — no volume required
█ DISCLAIMER
This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
RS High Beta Exposure | QuantLapseRS High Beta Exposure | QuantLapse
Conceptual Foundation and Innovation
The RS High Beta Exposure indicator from QuantLapse is a comprehensive multi-asset allocation and momentum-ranking system that integrates beta and trend analysis, pairwise relative strength comparison, and volatility-adjusted filtering.
Its objective is to identify dominant crypto assets while dynamically reallocating High Beta exposure based on a calculated relative strength. The objective is to integrate trend analysis along with volatility filtering to these pairs to determine its relative strength.
At its core, RS High Beta Exposure indicator measures the systematic (β) performance of each asset relative to other assets provided combining these measures with inter-asset ratio trends to determine which assets exhibit superior strength and momentum relative to the other assets.
This integration of relative strength comparison, and trend and filtering analysis represents a quantitative evolution of traditional relative strength analysis, designed for adaptive asset rotation across major cryptocurrencies.
Technical Composition and Calculation
The indicator is structured around three major analytical layers:
1. Beta and Alpha Analysis
-Each asset’s return is decomposed into systematic components relative to the other assets by using a trend based, volatility filtering model.
-Assets with the highest point on a relative strength basis above the median are considered outperformers and eligible for allocation.
2. Pairwise Ratio Momentum
-Every asset is compared against all others through a ratio-trend, where momentum based trend scores quantify the directional momentum between each pair.
-In addition, we filter any false signals with volatility adjusted trends in which ensure high quality signals.
3. High Confidence Ranking
-Using the Pairwise Momentum signals, the RS High Beta Exposure scores them. If the asset comparison is given a signal, the RS High Beta Exposure scores points for each asset.
-If the total points of an asset is 5, its given the rank the dominant asset and is most likely to outperform.
By combining these layers, RS High Beta Exposure determines not only which assets is the strongest but also which assets to be invested.
User Inputs and Feature Adaptability
The indicator includes set of customizable parameters to support portfolio and risk management preferences:
Start Date Filter – Defines the beginning of live strategy evaluation.
Display Options – Able to change the location of the RS Table, Background and equity color.
Asset Selection – Modify or replace up to six crypto assets in the ranking matrix
asset1 = input.symbol("CRYPTO:XRPUSD", title ="Asset 1")
asset2 = input.symbol("CRYPTO:BNBUSD", title ="Asset 2")
asset3 = input.symbol("CRYPTO:ADAUSD", title ="Asset 3")
asset4 = input.symbol("CRYPTO:DOGEUSD", title ="Asset 4")
asset5 = input.symbol("CRYPTO:XLMUSD", title ="Asset 5")
asset6 = input.symbol("CRYPTO:LINKUSD", title ="Asset 6")
Each module operates cohesively to maintain analytical transparency while allowing user-level control over system sensitivity and behavior.
Real World, Practical Applications
The RS High Beta Exposure indicator is designed for systematic traders and quantitative portfolio managers who seek a disciplined framework for dynamic crypto asset rotation.
Key applications include:
High-Beta Asset Identification: Systematically identify crypto assets exhibiting relative dominance and stronger momentum characteristics versus peers within the comparison set.
Rule-Based Portfolio Rotation: Reallocate exposure toward leading assets using objective pairwise signals, reducing emotional decision-making and FOMO-driven trades.
Trend-Aligned Risk Participation: Employ the pairwise relative strength model to maintain exposure only during favorable momentum conditions, helping avoid prolonged participation in weak or deteriorating trends.
By combining relative strength comparisons with trend-aware filtering, this framework bridges quantitative finance and market regime analysis, providing a structured, data-driven approach to crypto asset allocation.
Advantages and Strategic Value
RS High Beta Exposure goes beyond conventional relative strength tools by integrating multi-asset comparison, ratio-based dominance scoring, and volatility-aware regime filtering into a single coherent framework.
By employing a three-layer confluence model — combining trend integrity, relative performance attribution, and volatility-state confirmation — the system improves the reliability of rotation and trend-following decisions.
The model is particularly valuable for traders seeking to:
Mitigate drawdowns while participating in higher-beta assets through regime-aware exposure control.
Identify persistent outperformers early in emerging market trends.
Maintain capital exposure only when statistical and momentum conditions signal elevated confidence.
The inclusion of visual allocation tables and a dynamic alert system makes RS High Beta Exposure both transparent and actionable, supporting discretionary analysis as well as systematic or automated trading workflows.
Alerts and Visualization
The script delivers clear, intuitive visual cues and alert-based feedback to support real-time decision-making:
Color-coded background states visually indicate the current allocation regime.
Allocation labels and summary tables display the dominant asset and its relative strength in real time.
An integrated alert system automatically notifies users whenever allocation states change (e.g., “100% XRP” or “100% CASH”).
Together, these visualization and alert features make RS High Beta Exposure both analytically rigorous and easy to interpret, even in fast-moving live market conditions.
Summary and Usage Tips
RS High Beta Exposure is an advanced interpretation of relative strength analysis, blending pairwise momentum comparisons, multi-asset dominance scoring, and adaptive volatility filters into a disciplined framework for crypto asset rotation.
By combining cross-asset selection with systematic allocation logic, the indicator helps traders determine when to be exposed, which asset demonstrates leadership, and when to step aside during unfavorable conditions. The model is best applied on the 1D timeframe, where its structure is optimized for identifying sustained leadership rather than short-term price noise. For broader context and confirmation, it can be used alongside other QuantLapse systematic models at the portfolio level.
Note: Past performance does not guarantee future results. This indicator is intended for research and educational use within TradingView.
Pivot Trend [ChartPrime]The Pivot Trend indicator is a tool designed to identify potential trend reversals based on pivot points in the price action. It helps traders spot shifts in market sentiment and anticipate changes in price direction.
◈ User Inputs:
Left Bars: Specifies the number of bars to the left of the current bar to consider when calculating pivot points.
Right Bars: Specifies the number of bars to the right of the current bar to consider when calculating pivot points.
Offset: Adjusts the sensitivity of pivot point detection.
◈ Indicator Calculation:
The indicator calculates pivot points based on the highest and lowest prices within a specified range of bars. It then determines the trend direction based on whether the current price crossed above upper band or crossed below lower band.
Upper and Lower Bands
◈ Visualization:
Trend direction is indicated by the color of the plotted lines, with blue representing an upward trend and red representing a downward trend.
Buy and sell signals are marked on the chart with corresponding symbols (🅑 for buy signals and 🅢 for sell signals).
Buy and sell signals generated by the indicator can be used in conjunction with other technical analysis tools to confirm trading decisions and manage risk.
Overall, the Pivot Trend indicator offers traders a simple yet effective method for identifying potential trend changes and capturing trading opportunities in the market. Adjusting the input parameters allows for customization according to individual trading preferences and market conditions.
