Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic.
This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation.
🔍 What This Indicator Does
MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework.
It is visual and analytical only — no strategy orders, no backtesting, and no repainting.
🚀 Core Features
• Non-Repainting Market Structure
Event-based swing reversal detection
ATR-adaptive displacement filtering
Confirmed pivots only (no future leaks)
• Pure Supply & Demand Zones
Candle-structure based zone detection
Volume-weighted zone strength
Automatic invalidation on breach
Configurable zone limits to maintain chart clarity
• Multi-Timeframe Context (MTF)
Chart timeframe structure
Two independent higher-timeframe supply & demand layers
Higher-timeframe directional bias visualization
HTF zones plotted only on confirmed HTF closes
• Volatility-Adaptive Logic
ATR normalized across timeframes
Dynamic reversal thresholds
Stable behavior from scalping to swing charts
• Trendline Lifecycle Tracking
Automatic major trendline construction
Single-fire break detection
Break validation / failure logic
HTF-aligned vs counter-trend classification
🧠 Designed For
• Discretionary price-action traders
• Supply & demand traders
• Market structure & smart-money style analysis
• Multi-timeframe confluence trading
• Futures, indices, forex, crypto, and equities
⚠️ Important Notes
This is NOT a strategy or auto-trading system
No buy/sell signals or performance metrics
No repainting (uses barmerge.lookahead_off)
Educational & analytical use only
📜 Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading financial markets involves risk.
Trend
High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
SMC: Multi-TF Bias & HTF BOS with SessionsOverview
The HTF BOS (Session) - Precision Lines is a comprehensive trading tool designed for Smart Money Concepts (SMC) and price action traders. It identifies Higher Timeframe (HTF) Break of Structure (BOS) levels while filtering them based on specific trading sessions. Additionally, it features a built-in Bias Dashboard that tracks trend alignment across three different timeframes to help you stay on the right side of the market.
Key Features
1. Precision HTF BOS Tracking
Unlike standard indicators that only mark the breakout candle, this script uses high-precision pivot detection to identify the exact origin of a structural high or low.
Tam Yapışık Çizgiler (Precise Lines): The BOS lines are drawn exactly from the pivot point to the breakout point, providing a clean and professional look on your chart.
HTF Integration: You can track structure from a higher timeframe (e.g., 4H) while trading on a lower timeframe (e.g., 15m or 5m).
2. Session Filtering (Time Sensitivity)
Structural breaks are most reliable when they happen during high-volume periods.
The script includes a Session Filter (London & New York).
If enabled, the indicator will only plot BOS levels that occur during your specified trading hours, helping you avoid "fake-outs" or noise during low-liquidity periods (Asian session/After-hours).
3. Multi-Timeframe Bias Dashboard
Stay aware of the "Big Picture" without constantly switching charts. The dashboard monitors three custom timeframes (e.g., Daily, 4H, 1H) and determines if the structure is Bullish or Bearish.
Strong Buy/Sell Signals: When all three timeframes align, the status cell highlights as "BUY" or "SELL."
Wait Status: If timeframes are in conflict, the dashboard suggests "WAIT," encouraging disciplined trading.
How to Use
Define Your Bias: Set your three Bias Timeframes in the settings to match your higher-level strategy.
Set Your BOS TF: Choose the timeframe you want structural breaks to be calculated from (usually one or two steps above your entry chart).
Adjust Sensitivity: Use the "Pivot Sensitivity" setting to filter between minor and major structural points.
Confirm with Session: Enable the session filter to ensure you are only trading breaks that occur during the NY or London sessions.
Settings
Bias Dashboard Settings: Customize the TFs and pivot sensitivity for trend analysis.
BOS & Session Settings: Set your target HTF for drawings and define your trading window (NY Timezone supported).
Visual Settings: Full control over colors (Bullish/Bearish), table positioning, and text sizes.
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Trend Targets Oscillator- Webhooks v1.8.3Trend Targets Oscillator - Webhooks v1.8.3
Overview
This technical indicator combines a momentum-based oscillator with statistical analysis of historical price behavior to generate trading signals and calculate position management levels. The indicator analyzes past price patterns to establish data-driven thresholds for entries, exits, and stop placement.
Key Components:
• Weighted momentum oscillator with trend-following characteristics
• Statistical percentile analysis for take profit level calculation
• Dynamic stop loss placement based on price structure and volatility
• Adaptive ranges (ATR-based) for dynamic support/resistance visualization
• Real-time performance tracking and historical signal analysis
Critical Disclaimer: This indicator performs technical analysis on historical data. Past patterns, statistics, and performance do not predict, indicate, or guarantee future results. All trading carries substantial risk of loss. This tool does not provide investment advice or trading recommendations.
Important Note: Calculations use standard OHLC data; results may differ on non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range).
Technical Methodology
1. Momentum Oscillator
Core Approach: The oscillator employs a weighted Relative Strength Index (RSI) methodology combined with Quantitative Qualitative Estimation (QQE) trailing stop concepts. This creates a momentum indicator that adapts to trending conditions while maintaining sensitivity to reversals.
How It Functions:
• Calculates directional price momentum using weighted price changes
• Applies directional bias to amplify movements aligned with the prevailing trend direction
• Uses a dynamic trailing stop mechanism adapted from QQE methodology to identify potential trend reversals
• Applies exponential moving average smoothing to reduce market noise
• Operates within configurable overbought/oversold threshold zones (default: 70/30)
Signal Generation Process:
• BUY signals occur when the oscillator line crosses above its trailing stop level
• SELL signals occur when the oscillator line crosses below its trailing stop level
• All signals confirm only at bar close, eliminating mid-bar fluctuations and repainting
Technical Parameters (All Configurable):
• RSI Length (default: 100 bars) - Controls the period for momentum calculation
• Stop Multiplier (default: 2.5) - Adjusts the sensitivity of the trailing stop mechanism
• Smoothing Length (default: 6 bars) - Reduces noise through exponential smoothing
• Directional Weight (default: 6.4) - Amplifies trend-aligned price movements
• Overbought/Oversold Levels (default: 70/30) - Defines momentum extreme zones
What This Component Does: This component identifies potential trend changes through momentum analysis, generates entry signals based on the interaction between an oscillator and a trailing stop, filters those signals using overbought and oversold zones, and confirms all signals at bar close to help prevent repainting.
What This Component Does Not Do: This component does not predict future price direction or guarantee signal accuracy or profitability, it cannot eliminate false signals entirely, and it will not perform equally well across all market conditions.
2. Statistical Take Profit Calculation
Methodology: Rather than using fixed risk-reward ratios, this indicator analyzes the Maximum Favorable Excursion (MFE) from historical signals to establish statistically-derived take profit levels using percentile (quantile) analysis.
Maximum Favorable Excursion (MFE) Concept: MFE measures how far price moved in the favorable direction after each historical signal before either reversing or hitting the stop loss. This creates a dataset of historical "best case" price movements for each direction.
Statistical Process:
• Maintains separate historical datasets for LONG signals and SHORT signals (markets behave differently in uptrends vs downtrends)
• Tracks MFE data from the last N signals (configurable, default: 20 signals per direction)
• Calculates percentiles (quantiles) from this historical MFE dataset
• Uses these percentiles to determine take profit distance from entry
Three Statistical Thresholds:
TP1:
• Default: 66th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 66% of similar past signals moved at least this far in the favorable direction
• Note: This is a statistical observation of past behavior, not a prediction that 66% of future signals will reach this level
TP2:
• Default: 50th percentile (median) of historical MFE data
• Meaning: Represents the middle point of historical favorable price movements
• Note: Past median values do not indicate future median performance
TP3:
• Default: 30th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 30% of similar past signals moved at least this far
Important Technical Notes:
• Percentile thresholds are fully configurable in settings (you can adjust 66/50/30 to any values)
• Requires minimum historical data (20+ signals per direction) for statistical relevance
• Falls back to configurable risk-reward ratio (default 1.5R) when insufficient historical data exists
• Recalculates dynamically as new signals complete and add to the historical dataset
• "R" represents Risk units (distance from entry to stop loss)
What This Component Does: This component analyzes historical price behavior patterns and calculates statistical percentiles from past favorable movements to establish take-profit levels based on observed historical data. It adapts to the specific instrument and timeframe being analyzed, and it separates its analysis for long versus short signals.
What This Component Does Not Do: This component does not predict where future price will reach or guarantee any specific hit rate or success percentage, and it cannot ensure profits on any individual trade. It also does not account for changing market conditions or regime shifts, and it does not replace the need for proper risk management and position sizing.
3. Dynamic Stop Loss Placement
Methodology: Stop loss calculation combines Donchian Channel logic with Average True Range (ATR) volatility adjustment to create stops that respect recent price structure while accounting for normal market fluctuations.
How It Functions:
Donchian Channel Component:
• Identifies the highest high and lowest low over a specified lookback period (default: 20 bars)
• For LONG signals: Uses the lowest low as the base for stop placement
• For SHORT signals: Uses the highest high as the base for stop placement
• This respects recent price structure and support/resistance levels
ATR Volatility Buffer:
• Calculates the Average True Range over 14 periods to measure current volatility
• Adds a configurable buffer (default: 1.0 × ATR) beyond the Donchian extreme
• For LONG signals: Stop = Donchian Low - (ATR × Buffer Multiplier)
• For SHORT signals: Stop = Donchian High + (ATR × Buffer Multiplier)
• This prevents premature stop-outs from normal price volatility
Technical Parameters (All Configurable):
• Donchian Length (default: 20 bars) - Period for identifying recent price extremes
• SL Buffer Multiplier (default: 1.0 × ATR) - Distance beyond Donchian extreme (0.0 to 5.0)
What This Component Does: This component places stops based on recent price structure using Donchian extremes, adjusts them to reflect current volatility via an ATR-based offset, and adapts dynamically as conditions change. It includes a configurable buffer to suit different trading styles and is designed to respect key technical support and resistance levels.
What This Component Does Not Do: This component does not guarantee that a stop loss will not be hit, nor can it prevent slippage, gaps, or other execution-related risks. It does not ensure a favorable risk-reward outcome on every trade, does not account for fundamental events or news releases, and it does not replace the need for proper position sizing and overall capital management.
4. Adaptive Ranges (ATR-Based)
Methodology: The indicator includes an optional overlay that displays adaptive support and resistance zones based on Average True Range (ATR) volatility measurements. These ranges adjust dynamically as price moves beyond volatility thresholds.
How It Functions:
• Calculates an adaptive moving average that shifts when price moves beyond ATR-based thresholds
• Displays five levels: Upper Resistance 2 (R2), Upper Resistance 1 (R1), Middle (AVG), Lower Support 1 (S1), Lower Support 2 (S2)
• Zones are created using ATR multiples above and below the adaptive average
• When price breaches the outer boundaries significantly, the entire range structure recalculates and repositions
Technical Parameters (All Configurable):
• Length (default: 50 bars) - Period for ATR calculation
• Factor (default: 6.0) - Multiplier for ATR to set zone width
• Source (default: close) - Price data used for calculations
• Show (default: ON) - Toggle visibility
Purpose and Use:
• Provides context for potential reversal or consolidation areas
• Can complement the statistical TP levels by showing additional resistance/support
• Helps visualize market volatility expansion and contraction
• Creates dynamic zones that adapt to changing volatility conditions
What This Component Does: This component displays volatility-adjusted support and resistance zones, adapt dynamically to price movement and changing volatility, providing visual context for potential reversal areas. The segments update when price moves beyond defined threshold boundaries.
What This Component Does Not Do: This component does not predict future support or resistance levels, does not guarantee that reversals will occur at zone boundaries, or replace traditional support and resistance analysis. It also does not account for fundamental catalysts or news-driven events that can override technical behavior.
Visual Components and Displays
Oscillator Panel (Lower Pane)
The oscillator displays in a separate pane below the price chart with the following elements:
• Main Oscillator Line (teal/green): Shows current momentum state
• Trailing Stop Line (purple): Dynamic support/resistance level that triggers signals
• Overbought/Oversold Zones: Horizontal threshold lines (default 70/30)
• Historical Signal Markers: BUY (green triangles up) and SELL (red triangles down) where signals occurred
Reading the Display:
- When oscillator crosses above trailing stop = BUY signal generated
- When oscillator crosses below trailing stop = SELL signal generated
- Oscillator in upper zone (>70) = momentum in overbought territory
- Oscillator in lower zone (<30) = momentum in oversold territory
On-Chart Overlays (Price Chart)
For each historical signal, the indicator displays visual overlays on the main price chart:
Entry Line (Yellow):
- Horizontal line showing the price level where the signal was generated
- Helps identify the actual entry point
Stop Loss Line (Red):
- Horizontal line showing the calculated stop loss level
- Based on Donchian + ATR methodology described above
Three Take Profit Zones (Green for LONG / Red for SHORT):
- TP1 Zone: Lightest shade - conservative percentile target
- TP2 Zone: Medium shade - moderate percentile target
- TP3 Zone: Darkest shade - aggressive percentile target
- Zones displayed as shaded rectangular areas extending forward from signal
Visual historical overlays: This provides visual feedback on historical signal performance and helps assess whether the statistical methodology is appropriate for the current instrument and timeframe.
These visual overlays allow you to see: These visual overlays allow you to see where historical signals occurred and at what price, where stops were placed according to the methodology, and where statistical take-profit levels were calculated. They also show which targets were reached versus not reached, how price behaved relative to the statistical projections, and the adaptive support/resistance context that frames overall market structure.
Statistics Table (Real-Time Analysis)
The indicator displays a comprehensive statistics table (typically in the upper-right corner) showing performance metrics for historical signals.
Table Header: "Historical stats (not predictive) under current settings"
Performance Metrics (Separate rows for BUY and SELL): For the Last N Signals (default: last 20 BUY and last 20 SELL separately):
Column Headers:
• Signal: Direction (BUY or SELL)
• Win: Count of signals where at least one take profit was reached before stop loss
• Loss: Count of signals where stop loss was hit before any take profit was reached
• TP1 Hit: Percentage of signals that reached the first take profit level
• Δ1%: Average percentage distance from entry to TP1, calculated only for signals that actually reached TP1
• TP2 Hit: Percentage of signals that reached the second take profit level
• Δ2%: Average percentage distance from entry to TP2, calculated only for signals that actually reached TP2
• TP3 Hit: Percentage of signals that reached the third take profit level
• Δ3%: Average percentage distance from entry to TP3, calculated only for signals that actually reached TP3
Understanding the Distance Metrics:
The "Dist%" columns show the average percentage gain (from entry price to TP level) for only those trades that successfully reached that specific TP level. This helps you understand the typical profit magnitude when that target is hit.
Footer Message (Historical Performance Evaluation): The table displays one of three messages based on historical loss percentage:
✅ "Historical performance threshold met. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show less than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is below the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
🛑 "Historical performance below threshold. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show more than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is above the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
⚠️ "Historical performance: Mixed / higher risk. Based on past data under current settings. Not a recommendation."
- Displayed when one direction is <40% loss and one is >40% loss on past historical data on this specific instrument and timeframe
- indicates a mixed result: one direction is above and the other is below the threshold over the last N historical observations (descriptive only).
These statistics and messages are descriptive of past historical performance for the specific instrument and timeframe being analyzed, and they are provided purely as informational tools to help you understand how the indicator behaved historically. They are based solely on historical data analysis and can change over time as new signals complete and the underlying dataset updates.
These statistics and messages are not predictions of future performance, trading recommendations or advice, or guarantees of profitability. They do not indicate that past results will repeat, and they should not be interpreted as suggestions to enter trades or to avoid them.
The footer message helps you understand whether the current settings and statistical thresholds have shown historically favorable or unfavorable results on this particular market. However, past favorable statistics do not ensure future favorable results, and past unfavorable statistics do not ensure future unfavorable results.
Configuration Options
All parameters are fully adjustable in the indicator settings. Default values are provided as starting points and may require optimization for different instruments and timeframes.
Oscillator Parameters
• RSI Length (default: 100)
Controls the period used for momentum calculation. Higher values = smoother, slower momentum readings. Lower values = more responsive, potentially noisier readings.
• Stop Multiplier / QQE Factor (default: 2.5)
Controls sensitivity of the trailing stop mechanism. Higher values = wider trailing stop, fewer signals, more trend-following. Lower values = tighter trailing stop, more signals, more sensitive to reversals.
• Smoothing Length (default: 6)
EMA smoothing applied to reduce noise. Higher values = smoother oscillator line. Lower values = more responsive to price changes.
• Directional Weight (default: 6.4)
Amplification factor for trend-aligned movements. Higher values = stronger bias toward current trend direction. Lower values = more balanced, less trend-biased.
• Source (default: close)
Price data used for calculations (close, open, high, low, hl2, hlc3, ohlc4).
Threshold Parameters
• Overbought Level (default: 70)
Oscillator level considered overbought. Range: 0-100. Used for signal filtering and visual reference.
• Oversold Level (default: 30)
Oscillator level considered oversold. Range: 0-100. Used for signal filtering and visual reference.
Statistical Analysis Parameters (Historical Percentile Targets)
• Lookback N Trades (default: 20)
Number of historical signals to include in statistical analysis. Analyzed separately for LONG and SHORT. Higher values = more stable statistics, slower adaptation. Lower values = more adaptive, potentially less stable statistics. Minimum: 5 signals.
• TP1 Target Percentile (default: 66)
Percentile of historical MFE data used for first take profit. Range: 1-99. 66 means ~66% of historical signals reached at least this distance. Higher percentile = more conservative target (closer to entry). Lower percentile = more aggressive target (farther from entry).
• TP2 Target Percentile (default: 50)
Percentile of historical MFE data used for second take profit. 50 = median of historical favorable movements. Adjust based on desired risk-reward profile.
• TP3 Target Percentile (default: 30)
Percentile of historical MFE data used for third take profit. 30 means ~30% of historical signals reached at least this distance. More aggressive, historically reached less frequently.
• Fallback TP (default: 1.50 R)
Risk-reward ratio used when insufficient historical data exists. "R" = Risk units (distance from entry to stop loss). 1.50 R = take profit placed at 1.5× the distance to stop loss. Used until enough signals accumulate for statistical calculation.
Note on Percentile Configuration:
You can customize these percentiles to match your trading style:
- Conservative approach: Use higher percentiles (e.g., 80/60/40) for closer, more frequently reached targets
- Aggressive approach: Use lower percentiles (e.g., 50/30/15) for extended targets with lower historical hit rates
- Balanced approach: Default values (66/50/30) provide middle ground
Stop Loss Parameters
• Donchian Length (default: 20)
Lookback period for identifying recent price extremes. Higher values = stops based on longer-term structure. Lower values = stops based on shorter-term swings.
• SL Buffer (× ATR) (default: 1.00)
Multiplier for ATR-based volatility buffer. Range: 0.0-5.0. 1.0 = stop placed one ATR beyond Donchian extreme. Higher values = wider stops, less risk of premature stop-out. Lower values = tighter stops, higher risk of normal volatility hitting stop.
Adaptive Ranges (ATR-Based) Parameters
• Length (default: 50)
Period for ATR calculation used in adaptive range zones. Higher values = zones based on longer-term volatility. Lower values = zones more responsive to recent volatility changes.
• Factor (default: 6.0)
Multiplier applied to ATR for determining zone width. Higher values = wider zones, farther from average. Lower values = tighter zones, closer to average.
• Source (default: close)
Price data used for adaptive average calculation.
• Show (default: ON)
Toggle visibility of adaptive range overlays on chart. Turn OFF for cleaner chart if you only want oscillator signals.
Visual Display Parameters
• Show Historical B/S Markers (Pane) (default: ON): Displays BUY/SELL triangles in oscillator panel.
• Show B/S on Price Chart (default: ON): Displays BUY/SELL markers on main price chart.
• Show History TP/SL Overlays (default: ON): Displays entry lines, stop lines, and TP zones on price chart. Turn OFF for cleaner chart if you only want the oscillator signals.
• History Segment Length (Bars) (default: 20): How many bars forward the TP/SL overlays extend from signal. Range: 5-200 bars. Does not affect calculations, only visual display duration.
Initial Setup and Learning Period
1. Adding Indicator to Chart
The indicator can be applied to any instrument and timeframe. Default settings are provided as a starting point.
2. Data Collection Period
The statistical analysis requires historical signals to function. Typically 20+ bars provide initial data, while 50-100+ bars may produce more robust statistics. The table displays "Not enough data yet to evaluate" until sufficient signals exist.
3. Observing Initial Performance
Signals develop over time. The calculated TP levels appear relative to actual price movement. Historical statistics show which direction (LONG vs SHORT) has performed differently. The statistics table displays historical behavior patterns.
4. Statistical Data Accumulation
The indicator accumulates historical data over time. Some traders choose to observe performance in paper trading or demo environments before live use. Understanding the methodology involves reviewing how calculations work on historical data.
Webhook Integration and Alerts
The indicator includes alert functionality for integration with automated trading systems and notification services.
Alert Characteristics:
• Alerts trigger only when signals confirm at bar close (no mid-bar alerts)
• Respects the historical performance evaluation footer status
• Includes symbol, timeframe, and direction information in alert message
• Provides JSON-formatted data for easy parsing by automated systems
• Separate alert events for: Entry, TP1, TP2, TP3, Stop Loss, Early Close (Win/Loss)
Alert Events Available:
- Entry: When a new signal is generated
- TP1/TP2/TP3: When each take profit level is reached
- SL: When stop loss is hit
- Early Close Win: When position closes early in profit (without hitting TP or SL)
- Early Close Loss: When position closes early at a loss (without hitting TP or SL)
JSON Data Structure:
Each alert contains structured data including:
• Event type (Entry, TP1, TP2, TP3, SL, etc.)
• Direction (long/short)
• Symbol and timeframe
• Price levels (entry, stop, take profits)
• Timestamps (entry time, event time)
• Duration (milliseconds and minutes from entry to event)
Compatible With:
• Third-party webhook automation platforms and tools that support TradingView webhooks
• Custom trading bot implementations via webhook endpoints
• Notification systems that can receive TradingView alerts
• Any service supporting webhook integration through TradingView's alert system
The author and indicator provider assume no responsibility for losses incurred through automated trading, alert-based systems, webhook implementations, or any third-party integrations. Users are solely responsible for their trading decisions, automation setup, risk management, and system monitoring.
What This Indicator Is and Is Not
What This Indicator Is:
This indicator is a technical analysis tool that combines momentum oscillation with statistical analysis, using a signal-generation methodology built on weighted RSI and QQE concepts. It calculates take-profit levels through historical percentile analysis, places stop losses based on both price structure and volatility, and displays adaptive support/resistance zones derived from ATR. In addition, it tracks and presents historical signal performance and serves as an educational resource for understanding statistical approaches to trading. For accurate results, it requires standard OHLC chart data.
What This Indicator Is Not:
This indicator is not a prediction system or “fortune-telling” tool, nor is it a guaranteed profit generator or a “holy grail” trading system. It does not provide investment advice or financial recommendations, and it is not a substitute for proper education and solid risk management. It may not be suitable for every trader, market, chart type, or market condition, and it is not a replacement for human judgment and decision-making. It also cannot eliminate the possibility of losses, drawdowns, or periods of underperformance, and it is not designed for or tested on non-standard chart types—so results may differ when used outside standard charts.
Who This Indicator Is Designed For
May Be Suitable For:
This indicator may be suitable for traders who prefer systematic, rules-based approaches and want to incorporate statistical analysis into their trading, especially if they’re looking for a methodology that adapts to historical price behavior. It’s best for users who are comfortable with technical analysis concepts, can manage risk and position sizing properly, and are willing to invest time in testing and optimization. It also fits those who understand that past results don’t guarantee future performance and who use standard OHLC charts for their analysis.
May Not Be Suitable For:
This indicator may not be suitable for absolute beginners with no trading experience, or for traders looking for guaranteed profits and “get rich quick” systems. It’s also not ideal for those who are uncomfortable with technical analysis or statistical concepts, who cannot tolerate losses or drawdown periods, or who are unwilling to spend time learning, testing, and refining the methodology. Additionally, it may not fit users seeking a fully automated “set and forget” solution, traders who don’t follow proper risk management principles, or those who primarily work with non-standard chart types.
Important Limitations and Considerations
Technical Limitations:
This indicator has several technical limitations: it requires sufficient historical data for its statistical calculations to work properly, and its performance can vary significantly across different instruments and timeframes. It may perform poorly in ranging, choppy, or low-liquidity markets, and the statistical percentiles it uses are derived from past data that may not reflect future behavior. Depending on market conditions, signals can cluster or become sparse, and no technical system performs equally well across all regimes. Results may also differ on non-standard chart types (such as Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts), and while the adaptive ranges adjust to volatility, they cannot predict regime changes.
Market Limitations:
This indicator has market-related limitations because it cannot account for fundamental events, news, or black swan scenarios, and it does not incorporate market sentiment, positioning, or order flow. Historical statistical patterns can break down during regime shifts, and as market structure evolves, past behaviors may not persist. External drivers such as geopolitical developments or policy changes are also outside its scope, and risks from gaps as well as weekend or overnight moves are not explicitly factored into its calculations.
Execution Limitations:
This indicator has execution limitations because it does not account for slippage, spread, or execution delays, and it cannot guarantee fills at the calculated levels. It also does not explicitly factor in gap risk or overnight holding risk, and it assumes there is sufficient liquidity to execute orders as intended. In addition, it cannot account for exchange outages or other technical failures, and webhook or alert delivery can fail due to connectivity problems or third-party system issues.
User Limitations:
This indicator also has user-related limitations: it requires the discipline to follow signals consistently rather than overriding them emotionally, along with proper position sizing and risk management. Users need the psychological resilience to handle losing streaks and the time to monitor performance and evaluate results on an ongoing basis, especially if using alerts or automation. It also assumes sufficient capital and emotional reserves to withstand drawdowns, as well as a clear understanding of the constraints of standard OHLC charts.
Risk Warnings and Disclaimers
Please Read This Section Carefully
General Trading Risks: Trading and investing involve substantial risk of loss, and you can lose some or even all of your invested capital. Past performance does not indicate, predict, or guarantee future results, and no trading system, indicator, or methodology can eliminate risk. Markets are inherently unpredictable and uncertain, so outcomes can vary widely even when using a consistent approach.
Specific Risks Related to This Indicator: Its historical statistics and percentile calculations are inherently backward-looking, not forward-looking, and past favorable results do not ensure future favorable results. Market conditions can change, historical patterns may stop working or fail to repeat, and statistical analysis cannot predict future price movements. As a result, the indicator can generate losing signals and experience unprofitable periods, with no guarantee of any particular win rate, profit level, or overall performance. Metrics such as “Dist%” reflect historical averages and should not be interpreted as future profit guarantees, while adaptive ranges reflect historical volatility behavior not future support or resistance. Results may also differ significantly when used on non-standard chart types.
What This Indicator Does Not Guarantee: This indicator does not guarantee profitable trades or positive returns, any specific win percentage, success rate, or profit distance, or protection from losses and drawdowns. It also cannot guarantee that historical statistics will persist into the future, that it will be suitable for your specific financial situation, or that it will match your risk tolerance or trading goals. In addition, it does not guarantee reliable operation when used with automated trading systems, nor does it guarantee consistent results across different chart types.
Regulatory Disclaimer:
This indicator is a technical analysis tool for educational and informational purposes only. It does not constitute: Investment advice or recommendations, Financial planning or wealth management services, A solicitation to buy or sell any securities or instruments, A guarantee or warranty of any kind regarding performance, Professional advice tailored to your specific situation
Legal Liability:
By using this indicator, users acknowledge and agree that they are solely responsible for all trading decisions and outcomes, and that the author and indicator provider assume no liability for any losses or damages. Users confirm that they have read and understood all stated risks and disclaimers, agree not to hold the author or provider responsible for any results, and recognize that trading can result in the total loss of capital. They also understand the limitations related to chart types and the indicator’s calculation methods, which may affect how results are produced and interpreted.
Geographic Restrictions:
This indicator may not be suitable or legal in all jurisdictions. It is your responsibility to ensure compliance with local laws and regulations regarding trading and financial markets.
Final Statement
This indicator represents a systematic approach to technical analysis that combines momentum oscillation with statistical analysis of historical price behavior and adaptive volatility-based ranges. It is designed to provide a structured framework for visualizing historical market conditions and statistical behavior under the selected settings.
Access and Support Information
This is an invite-only indicator. For access requests, detailed documentation, setup guides, and ongoing support, please refer to the author's signature field displayed below this publication.
Thank you for taking the time to read this complete description. Understanding the methodology, limitations, and proper usage is essential for anyone considering using this indicator.
Trade safely and responsibly.
Institutional Edge Algo v8.5🎯 OVERVIEW
Institutional Edge Algo is a systematic trading indicator that identifies potential trade setups using pivot-based level detection, volatility analysis, and multi-factor confluence scoring. Designed for futures, forex, and stock traders who want a structured, rules-based approach.
⚠️ Important: This indicator is for educational purposes only. It does not guarantee profits or predict market direction. All statistics shown are based on historical data within the visible chart range. Past performance does not indicate future results.
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✨ KEY FEATURES
📊 Intelligent Level Management
Unlike basic pivot indicators that clutter your chart, this system:
• Dynamically spaces levels based on volatility
• Automatically removes stale and overcrowded levels
• Tracks level strength - weakened levels shown visually
• One signal per level - no repeated alerts from the same zone
📈 Two Entry Modes
• Breakout: Immediate entry on level break
• Retest: Entry on pullback for better risk:reward
🔢 Edge Score (ES) - Multi-Factor Confluence
A proprietary 0-100 score that combines multiple factors including candle quality, volume analysis, trend strength, and price extension. Higher scores indicate more factors aligning. This is a confluence metric, NOT a win rate prediction.
🏷️ Signal Labels
• ⚡ Lightning Bolt - VWAP context confirmed
• BQ - Breakout Quality (candle strength)
• ES - Edge Score (overall confluence)
• Grey labels - Signal blocked (cooldown active)
🔥 Volatility Squeeze Detection
Identifies compression periods using Bollinger Bands and Keltner Channels, with visual alerts when volatility expands.
📉 Market Regime Filter
Classifies market conditions as TREND, RANGE, BREAKOUT, or MIXED - with optional signal filtering.
🏦 Order Blocks
Detects institutional supply/demand zones with configurable sensitivity and direction filters.
💰 Trade Management
• 5 Stop Loss modes - Structure, Level, ATR, Points, Ticks
• Two-contract exit - Take profit + trailing stop
• Smart trailing - Locks in gains progressively
📋 Comprehensive Dashboard
• Rolling trade statistics
• Current session performance
• Active position details with $ values
• Market context at a glance
🔔 Signal Cooldown
Prevents overtrading by blocking duplicate signals when a trade is already active.
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📈 SUPPORTED INSTRUMENTS
Futures (with automatic $ calculations):
NQ/MNQ, ES/MES, RTY/M2K, YM/MYM, GC/MGC, CL/MCL, and more
Also works on: Stocks, Forex, Crypto
Recommended Timeframes: 3min, 5min, 15min, 1H
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⚙️ HIGHLY CONFIGURABLE
28 settings groups allow you to customize:
• Entry and exit behavior
• Signal filtering and quality thresholds
• Visual display preferences
• Session and time filters
• All colors and styles
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⚠️ IMPORTANT DISCLOSURES
Repainting:
• "Confirmed Signals Only" = NO repainting
• "Show Developing" = Labels may update until bar closes
Statistics: Based on visible chart data only. Past performance does NOT indicate future results.
Risk Warning: Trading involves substantial risk. This indicator does not guarantee profits. Always use proper risk management.
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🔔 ALERTS
Signal, TP, SL, and Order Block touch alerts included.
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Questions? Leave a comment below!
Golden EMA Basic Visuals - MAurum LabsGolden EMA UI is a premium-style trading indicator built for traders who value Clarity, Structure, and Precision.
At its core, the indicator uses a powerful EMA 9 / 21 / 50 frameworks to identify short-term momentum, trend direction, and higher-timeframe bias.
Advanced UI and rule-based BUY/SELL signals are available in the premium version via invite-only access.
LC crypto Hybrid Ribbon v5 A+ Auto by Symbol Signals and AlertsA hybrid trend + retest trading indicator designed for crypto scalping and intraday trading.
This script combines a multi-EMA ribbon for trend direction, higher-timeframe confirmation, and a 15-minute break & retest model to highlight high-probability A+ entries.
Core Features
Color-changing EMA ribbon to visualize bullish vs bearish trend
Auto-tuned retest tolerance by symbol (BTC, ETH, SOL, BNB, LINK, XRP)
Optional 4H higher-timeframe trend filter
15-minute break above/below anchor EMA to arm setups
Anchor EMA retest + rejection for precise entries
Clear BUY / SELL labels and optional arrows
Ribbon area fill to visually confirm trend strength
Best Use
Works well on lower timeframes (1m–15m) for entries while using HTF confirmation for directional bias.
Disclaimer
For educational purposes only. Always manage risk and confirm with price action.
LinReg Wave | Lyro RSIntroduction
The LinReg Wave is a proprietary reversal-focused indicator tailored for short-term trading strategies. Designed for traders who seek precision during rapid market fluctuations, it incorporates multiple configurable modules that adapt visually and analytically to varying chart conditions. Its structure aligns with modern trading needs, emphasizing clarity in trend reversals and momentum shifts on lower timeframes.
Overview
This indicator presents a wave-based system that builds on regression analysis, with adjustable smoothing, cloud overlays, and valuation zones. It integrates flexible display options, including visual transitions between Heikin Ashi-style representation and conventional views. The architecture accommodates real-time trend strength feedback, directional cues, and context-sensitive take profit signals, all structured within a controlled visual environment.
Purpose
The core purpose of this script is to support intraday and scalping strategies on lower timeframes by highlighting potential reversal points. It is not a trend-following tool but rather one that isolates potential exhaustion areas, overbought/oversold dynamics, and shifting directional strength. Traders can use it to identify momentum reversals, gauge valuation conditions, and assess short-term trend viability across instruments. Its visual modularity makes it adaptable for discretionary strategies and multi-mode analysis.
Originality & Uniqueness
Unlike typical linear regression-based indicators that focus purely on slope or crossover dynamics, this script blends multiple components under a unified visual and functional scheme. It features user-defined visual theming, mode-dependent behavior changes, and layered analytical outputs, such as momentum normalization and volatility-responsive overlays. The ability to fluidly shift between cloud-based interpretation, Heikin Ashi-style momentum analysis, and valuation extremes creates a multidimensional toolkit not commonly found in conventional indicators.
Inputs
Each input is crafted to give the trader granular control over the indicator’s behavior:
Source: Determines the price series to analyze (typically close). It defines the core input for regression and smoothing processes.
Wave Length: Sets the depth of the momentum calculation. Higher values result in smoother waves, suitable for filtering noise.
LR Length: Defines the period of the underlying regression trend evaluation.
Select Moving Average (for wave smoothing): A choice among 16 MA types. Enables custom smoothing profiles for wave behavior.
LR Wave Smoothing Length: Adjusts the secondary smoothing applied to the primary signal, further refining its responsiveness.
Use 0 as Middle Line: If enabled, sets a fixed reference at zero for the standard deviation bands.
Standard Deviation Length: Length over which volatility (standard deviation) is calculated.
Standard Deviation Multiplier: Adjusts the distance of upper and lower bands from the reference.
Select Moving Average: Defines the smoothing basis for the cloud using customizable MA types.
Cloud Length: Length of the moving average used in the cloud calculation.
Upper Band Multiplier / Lower Band Multiplier: Control the vertical width of the cloud envelope.
Color customization options are available via: Custom Color Palette: Choose from predefined themes or define custom up/down colors across different modules (cloud, TP, main).
Use Custom Palette: Allows manual override of default palettes.
Custom Up / Down Colors: Manually input colors for trend representation.
Enable Take Profit Labels: Turns on/off display of potential TP zones.
TP Color settings: Follow the same palette logic, allowing custom or theme-based visual styles.
Display Variation: Choose between Heikin Ashi or Classic display methods for the visual plot.
Select Mode: Switch between Cloud, Heikin Ashi Trend, and Valuation modes depending on analysis preference.
Force Table Overlay: Forces the status table to overlay even when chart conditions change.
LR Wave Modes Table: Lets users choose table position on the chart.
Table Size: Set table size for clarity based on screen space and preference.
Features
This indicator incorporates several feature layers to guide trading decisions:
Regression Wave Plot:
Visualizes wave movement derived from dynamic regression. In Classic mode, it reflects raw slope behavior. In Heikin Ashi mode, it shifts to a candle-style display for smoother trend context.
Mode Selector:
Users can alternate between Cloud, HA Trend, and Valuation modes:
Cloud Mode overlays price with an adaptive volatility-based band system.
HA Trend Mode emphasizes visual HA-style momentum changes for identifying short-term directional strength.
Valuation Mode identifies zones where price is considered relatively high or low based on statistical thresholds.
Standard Deviation Bands:
Dual-layered bands (1SD and 2SD) mark potential exhaustion zones or price extremes. The option to anchor these bands around zero adds flexibility for users who prefer a fixed-reference environment.
Cloud Overlay:
A volatility-augmented cloud rendered on price charts shows current trend width and strength. The cloud auto-adjusts its amplitude based on internal momentum measures, offering dynamic compression or expansion relative to market conditions.
Heikin Ashi Rendering:
An alternative visual interpretation, especially effective in highlighting subtle transitions in momentum. HA candles adapt to slope behavior when Classic mode is disabled, giving an impression of smoothed swings.
Take Profit Signal Layer:
Designed specifically for the Cloud mode, this module highlights conditions where recent momentum surges may be due for reversion or partial exits. It limits signals to a maximum count per trend leg to prevent over-clustering.
Trend State Table:
A modular data table that tracks mode status, trend direction, valuation condition, and trend strength. It updates live and responds to current analysis settings. This feature ensures users can interpret model output at a glance without decoding plot behavior.
Alert System:
Configurable alert conditions are embedded for all major transitions:
Cloud trend changes
Heikin Ashi trend flips
Valuation zone crossings
Take profit triggers
These alerts are meant for traders who rely on real-time signals and wish to be notified when critical zones are entered or left.
Conclusion
The LinReg Wave is a multi-module indicator developed for short-term traders seeking structured reversal insights. With support for multiple modes of operation, adjustable visual presentation, and a responsive signal engine, it provides a controlled environment for observing price extremes and directional transitions. While it requires tuning and contextual judgment, it offers a versatile set of tools to monitor and act on short-term price movements in volatile sessions.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects.
Indicator Modes
Bollinger-Style RMSD Bands
This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is:
Upper Band = Moving Average + (RMSD × Multiplier)
Lower Band = Moving Average − (RMSD × Multiplier)
The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts.
For-Loop Momentum Scoring
This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes:
If the current value is greater than past values, it adds to the score.
If it is lower, it subtracts from the score.
This produces a net momentum score used to determine bullish or bearish dominance.
RMSD Weighted Source = (Price × RMSD) / RMSD
Score = Sum over loop: (src > src ) ? +1 : -1
Combined Signal
This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds.
Signal Interpretation
In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands:
A long signal occurs when price crosses above the upper RMSD band
A short signal occurs when price crosses below the lower RMSD band
No signal is produced when price remains between bands
These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
High & Low [ Major + Minor ]📈 Highs & Lows
See market structure clearly. Trade with confidence.
Highs & Lows automatically marks key swing highs and lows to help you identify trend direction, pullbacks, and structure levels without manual chart work.
Designed for traders who want clarity, not clutter.
🔍 What You Get
Major Highs & Lows → Overall trend & key levels
Minor Highs & Lows → Pullbacks & precise entries
Clean, minimal, non-repainting structure
Works on Forex, Crypto, Indices & Stocks
Fully customizable for all timeframes
🧠 Why It Works
Avoids false reversals
Helps trade with the trend
Improves entry, stop-loss & target accuracy
Perfect for SMC & structure-based traders
⚠️ Important
This is not a buy/sell signal indicator.
It’s a structure & confirmation tool — best used with your own strategy or signal system.
Stop guessing structure. Let the chart explain itself.
Crypto ADX Scanner
Purpose
Crypto ADX Scanner helps traders quickly identify which selected assets are currently trending strongly.
It scans multiple symbols at once and ranks them by ADX (Average Directional Index) strength.
What This Indicator Does
Monitors up to 20 user-selected assets
Calculates ADX for each asset on the current chart timeframe
Filters assets where ADX ≥ threshold
Sorts qualifying assets from strongest to weakest trend
Displays results in a table overlay
How to Use
Add the indicator to any chart.
Set your Asset 1–20 symbols.
Adjust ADX Threshold to control how strict “strong trend” is.
Focus on the top assets in the table — these have the strongest trends right now.
Apply your own entry strategy on the shortlisted assets.
Key Settings
ADX Threshold (default 25)
Higher = only strong trends
Lower = earlier trend detection
ADX Length / Smoothing
Controls responsiveness vs smoothness of trend strength
How to Interpret ADX
ADX measures trend strength only, not direction
Higher ADX = stronger trend (bullish or bearish)
Direction should be confirmed with price structure or other indicators
Best Use Case
Market scanning
Watchlist filtering
Identifying trend-friendly assets
Avoiding choppy or low-momentum markets
Notes
Works on any timeframe
Table updates automatically on the latest bar
Designed as a trend-strength filter, not a buy/sell signal
Cyberpunk GMMA Reactor ProCyberpunk GMMA Reactor Pro
System Concept
Dive into the data stream. Cyberpunk GMMA Reactor Pro is a high-performance visualizer based on the Guppy Multiple Moving Average (GMMA). It transforms market trends into glowing "Digital Ribbons," allowing you to perceive market energy through neon-lit intensities.
This script isn't just about aesthetics; it’s a professional-grade tool designed to identify trend strength, exhaustion, and reversals using 12 layers of Exponential Moving Averages (EMA).
Key Features
・Dual-Stream ribbons:
-Neon Magenta (Short-Term): Represents the "Drones" (traders' sentiment).
-Neon Cyan (Long-Term): Represents the "Mainframe" (investors' foundation).
・Reactor Glow (Dynamic Background): The background pulsates based on the "Spread" between EMA3 and EMA30 relative to volatility (ATR). When the trend accelerates, the reactor glows brighter.
・System Signals: Real-time Golden Cross (System Boot) and Death Cross (System Critical) alerts.
・High-Tech UI: Bilingual settings (English/Japanese) for a seamless global experience.
How to Use
1. Expansion (The Stream): When the ribbons spread apart and the background glows intensely, a strong trend is in progress.
2. Squeeze (The Compression): When all lines converge, the system is "recharging" for the next big breakout.
3. Cross (The Breach): Use the System Boot/Critical signals to identify potential entry and exit points.
システムコンセプト
データの潮流へ。Cyberpunk GMMA Reactor Pro は、グッピー複合移動平均線（GMMA）をベースにした高性能ビジュアライザーです。市場のトレンドを輝く「デジタル・リボン」へと変換し、ネオンの輝きによって相場のエネルギーを直感的に把握できます。
単なる見た目重視のツールではありません。12本の指数平滑移動平均線（EMA）を駆使し、トレンドの強さ、収束、反転を見極めるプロフェッショナル仕様のインジケーターです。
主な機能
・デュアル・ストリーム・リボン：
-ネオンマゼンタ（短期群）: 「ドローン（短期トレーダー）」の心理を反映。
-ネオンシアン（長期群）: 「メインフレーム（長期投資家）」の基盤を反映。
・リアクター・グロウ（背景発光）: EMA3とEMA30の乖離率をATR（ボラティリティ）で計算し、背景が動的に発光。トレンドが加速するほど光が強まります。
・システム・シグナル: ゴールデンクロス（System Boot）とデッドクロス（System Critical）をリアルタイムで表示。
・ハイテクUI: 英語と日本語を併記したバイリンガル設定画面。
トレードへの活用法
1. エクスパンション（拡散）: リボンが広がり、背景が強く発光している時は、強力なトレンドが継続中です。
2. スクイーズ（収束）: 全てのラインが一本に収束し始めたら、次なるブレイクアウトに向けたエネルギー充填のサインです。
3. クロス（突破）: System Boot / Criticalシグナルを参考に、エントリーや利確のタイミングを計ります。
Time Pattern Analyzer - Multi Mode [fmb]This is a lightweight session-behaviour overlay that helps you spot whether a market tends to move up or down at specific days or times.
- Two analysis modes
Weekday: Breaks performance down by Mon–Fri
Hour of Day: Breaks performance down by 0–23 and can also track a single exact time (hour + minute), like 09:30
- Visual timing markers (optional)
Draws vertical lines on the chart for the selected day(s) or time(s)
Line colour reflects the bar direction: green (up), red (down), grey (neutral)
Fully adjustable width and style (solid, dotted, dashed)
- Flexible “green vs red” definition
Body mode: Close > Open (candle body direction)
Previous close mode: Close > Close (momentum vs prior bar)
- Stats table (optional)
For each day or hour, the table shows:
Count (sample size)
% Green
% Red
Average % move (average return for that bucket)
Table can be positioned anywhere on the chart (top/bottom, left/centre/right)
Use cases
- Quickly identify recurring tendencies like “Mondays are strongest” or “first hour is choppy,” and validate timing ideas with clear counts and averages instead of guesswork.
Note: This tool reports historical tendencies, not predictions. Always account for regime changes, news risk, and liquidity.
Orca Trade Pendulum Pro Orca Trade Pendulum Pro — Momentum Flip & Market Context
Orca Trade Pendulum Pro is a momentum-based oscillator designed to identify market flips near exhaustion zones and provide a clear PASS / NO PASS decision framework.
The indicator focuses on clarity and discipline, helping traders understand when a flip matters and when it should be ignored. It is built for traders who value context over noise.
Core Logic:
Momentum Flip Detection
Flips are detected after Overbought / Oversold conditions
Based on confirmed candle closes (no repaint)
Filter Pass System:
Every flip is evaluated before being considered valid
Popup clearly shows:
Filter Pass: YES / NO
Direction: LONG / SHORT
A NO PASS flip is informational only and should not be treated as a trade signal
Market Flow Context (Visual)
Built-in lower and higher timeframe flow visualization
Flow elements are contextual only and do not alter flip detection
How to Use:
Treat flips as momentum shift alerts, not automatic entries
Focus on flips with Filter Pass: YES
Use higher-timeframe structure and your own risk management
Best used as a confirmation and timing tool
Important Notes:
This script does not repaint
It does not execute trades
It is not a standalone strategy
Designed for discretionary and educational trading
Access
This script is shared through the Orca Trade community.
Access instructions are published in the Orca Trade Telegram channel.
Eagle Algo Pro v0.2This script, "Eagle Algo Pro v0.2," combines trend-following and mean-reversion concepts to assist traders in identifying potential trade entries. It is designed to work on various timeframes and integrates three distinct analytical components:
1. Eagle Trend Strategy (Channel Breakout):
This module utilizes a Donchian-style channel (Highest High and Lowest Low over a user-defined period) to detect trend breakouts.
- Logic: A "CALL" signal is generated when the price closes above the upper channel line, indicating bullish momentum. Conversely, a "PUT" signal is generated when the price closes below the lower channel line.
- Utility: Helps traders spot the beginning of new trends or breakouts from consolidation.
2. S/R & Reversal Strategy (Support/Resistance & Pivots):
This component identifies key Support and Resistance zones using Pivot Points derived from historical price action.
- Logic: The script calculates pivot highs and lows to draw dynamic support/resistance boxes. It then looks for price rejections (wicks) near these zones combined with RSI filtering (Overbought/Oversold conditions).
- Utility: Useful for finding reversal points where price is likely to bounce.
3. RiViL Channel (Linear Regression):
A Linear Regression Channel that visually displays the current trend direction and deviation levels.
- Utility: Provides visual context on whether the price is overextended (near the edges of the channel) or moving with the mean trend.
Dashboard Features:
The script includes a performance dashboard that tracks historical signals for both strategies, displaying Total Signals, Wins, Losses, and Win Rate based on the chart history. This allows for quick backtesting and parameter tuning.
Disclaimer:
This tool is for educational purposes and market analysis only. Past performance does not guarantee future results.
Ryan-Trend PulseOverview
Ryan-Trend Pulse is a volatility-adjusted trend-following indicator designed to identify institutional-grade shifts in market momentum. Unlike static moving averages that lag significantly, This indicator utilizes a modified ATR-based trailing logic to create dynamic ranges. This allows the indicator to remain stable during consolidation but react decisively when a genuine trend breakout occurs.
The core philosophy of this tool is to provide traders with clear, visual "Zones of Interest" (Target and Stoploss) that adapt in real-time to current market volatility.
How It Works: The Logic
The indicator is built around a proprietary Adaptive Average function. Here is the technical breakdown:
1. Volatility Anchoring : The script calculates a base ATR (Average True Range) multiplied by a user-defined factor. This creates a "volatility buffer" around the price.
2. Range Displacement : The center line (Trend Average) only moves when the price closes outside of the volatility buffer. This filtering mechanism eliminates market noise and "whipsaws" often found in standard trend-following tools.
3. Dynamic Band Scaling : Once a new range is established, the upper and lower bands are calculated based on 50% of the current volatility. This provides a mathematically consistent frame for potential price action.
Indicator Specifications & Features
- Zero-Lag Range Shifts: The range updates instantly upon a confirmed break, providing the trader with immediate feedback on trend direction.
- Multi-Timeframe Compatible: Users can pull data from higher timeframes (HTF) to filter lower timeframe noise via the built-in Timeframe input.
How to Trade with Ryan-Trend Pulse
The indicator features a Dual-State Dynamic Coloring System:
1. 🔵 The Blue Center channel: This is your Trend Pivot. As long as price remains within the current range, the trend is considered stable.
2. 🟢 Bullish Breakout (Long): When price breaks the upper channel and shifts the range upward:
- The Upper channel turns Green, representing your primary Target Zone.
- The Lower channel turns Red, representing your Logical Stop Loss.
3. 🔴 Bearish Breakout (Short) : When price breaks the lower channel and shifts the range downward:
- The Lower channel turns Green, representing your primary Target Zone.
- The Upper channel turns Red, representing your Logical Stop Loss.
Settings Guidance
- Length (Default 200): Optimized for long-term trend health. Lowering this to 50-100 will make the indicator more aggressive for scalping.
- Factor (Default 5.0): This controls the "tightness" of the range. A higher factor requires a more significant move to trigger a trend change, suitable for volatile assets like Crypto or Indices.
Disclaimer: Past performance does not guarantee future results. This indicator is a tool for technical analysis and should be used in conjunction with a complete trading plan and proper risk management.
Laguerre Filter [BackQuant]Laguerre Filter
Overview
The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag.
The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques.
What is the Laguerre Filter?
The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend.
The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction.
The filter is designed to have:
Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations.
Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend.
Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions.
Core Calculation Methodology
The core of the Laguerre Filter lies in its recursive calculation:
Each new value is calculated using the previous value along with the current price input.
The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements).
The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise.
The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing.
The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy.
Signal Logic and Trend Detection
The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value:
If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition.
If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition.
The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations.
The trend state is also visually represented by color-coding:
Green color represents an uptrend (bullish condition).
Red color represents a downtrend (bearish condition).
Neutral (white) indicates no clear trend direction.
This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength.
Laguerre Filter Behavior and Performance
The performance of the Laguerre Filter can be influenced by several factors:
Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes.
Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing.
The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed.
The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend.
Visual Presentation
The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied:
Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions.
Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart.
Background shading to visually highlight areas of strong trend or consolidation.
Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance.
These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions.
Practical Use Cases
1) Trend Following
The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can:
Enter long positions when the Laguerre Filter turns bullish (green).
Enter short positions when the Laguerre Filter turns bearish (red).
By aligning trades with the dominant trend, traders can improve their chances of success.
2) Trend Strength Assessment
The Laguerre Filter can also be used to assess the strength of the trend:
A rising Laguerre value indicates a strengthening uptrend.
A falling Laguerre value indicates a strengthening downtrend.
A flattening Laguerre value signals weakening momentum or consolidation.
This information can be used to adjust position sizing or to decide when to enter or exit a trade.
3) Trade Management
The Laguerre Filter can also assist in trade management:
Use the Laguerre line as a trailing stop for long positions in an uptrend.
Scale out of positions as the Laguerre value begins to flatten or reverse.
Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend.
Tuning Guidelines
The Laguerre Filter can be adjusted for different market conditions using the following parameters:
Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85.
Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters.
Summary
The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
Mounir Delta Wave HistogramMounir Delta Wave Histogram is a professional volume-based indicator designed to visualize directional market waves using estimated volume delta.
It accumulates buying and selling pressure across price movements to form clear histogram blocks that represent bullish and bearish waves. Each wave displays:
• Total traded volume
• Volume delta (buyers vs sellers)
• Delta percentage
• Time duration of each wave
This allows traders to quickly identify:
✔ Strong momentum moves
✔ Hidden divergence between price and volume
✔ Trend continuation and exhaustion
✔ Shifts in market pressure
The indicator offers multiple display modes, customizable colors, wave inversion options, and alert conditions for key thresholds and new wave formations.
📊 Compatible with all markets including Futures, Forex, Crypto, Stocks, and Indices — anywhere volume data is available.
Ideal for:
• Order flow analysis
• Momentum trading
• Scalping & swing trading
• Trend confirmation
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes.
Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode:
Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes.
Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100).
Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves.
Key Features:
Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture".
Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average.
Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading.
How to Use:
Select your preferred Trading Mode in the settings.
Enable HTF Background to visualize the dominant trend from a higher timeframe.
Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Apex Wallet - MTF Trend Monitor: Unified Indicator DashboardOverview The Apex Wallet MTF Trend Meter is a powerful Multi-Timeframe (MTF) dashboard designed to provide a bird's-eye view of market conditions across several time intervals simultaneously. Instead of switching between charts, this tool presents a clean, real-time table directly on your workspace, allowing you to identify high-probability trade setups through timeframe alignment.
Multi-Layered Analysis The dashboard monitors and categorizes technical data into actionable color-coded cells:
Timeframe Master Trend: Tracks the core market direction using EMA filters (adjustable for Scalping, Day, or Swing trading).
Oscillator Confluence: Instant status of Stochastic (STO), RSI, MACD, and TDI.
Andean Oscillator: Specialized tracking for market states including Bullish, Bearish, Consolidating, or Reversing.
Market Volume Delta: Real-time institutional flow tracking with customizable modes (Buy/Sell, Neutral, or Auto).
Key Features:
Fully Customizable Grid: Toggle individual timeframes (from 1m up to 4h) and specific indicators to match your trading strategy.
Smart Adaptive Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading automatically updates all internal indicator periods for optimized performance.
Trend-Filtered Signals: Momentum indicators are filtered by the master trend EMA to ensure signals are displayed only when aligned with the broader market direction.
Compact UI: Designed for efficiency, the dashboard sits discreetly on your chart while providing maximum data density.
How to Use: Identify "Vertical Confluence" where multiple timeframes align with the same color, indicating a high-conviction trend continuation or breakout.
Supertrend Clean Pro + Discord Alert📈 Supertrend Clean Pro with Discord Alert: Strategy Guide
1. Indicator Overview
The Supertrend Clean Pro with Discord Alert is a trend-following indicator that combines price action and volatility (ATR) to identify market direction.
Green Line : Bullish trend; focus on Long entries.
Red Line : Bearish trend; focus on Short entries.
Start Dots : High-visibility markers that appear exactly when a trend flips.
2. Dashboard Metrics
STATUS : Real-time trend direction.
MARKET : Uses the Volatility Filter. If "FLAT," the ATR is below its moving average, suggesting low-volume consolidation—typically a bad time to enter.
STOP GAP : The distance between current price and the Supertrend line (suggested Risk).
TREND GAIN : Tracks how many pips the current trend has moved since the last flip.
3. Best Execution Strategy
To maximize win rates, follow these rules based on the script logic:
A. The "Flat Line" Rule (Avoid Sideways Markets)
When the Supertrend line becomes flat or horizontal, the market is in a range.
Avoid: Taking new signals when the line has been flat for several candles.
Prefer: Signals where the Supertrend line has a clear **diagonal slope**, indicating strong momentum.
B. The Volatility Filter
The script includes an isVolatile check. Only take signals when the Dashboard shows " ACTIVE 🔥 ". This ensures you aren't entering a trade during a "dead" market where price just "bleeds" through your stop loss without moving.
C. Risk Management
The indicator automatically calculates a 2.0 Risk-Reward Ratio (RRR). Use the Discord alert or the dashboard "Stop Gap" to set your position size.
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⚙️ Optimized ATR Settings (2H Timeframe)
Settings are optimized for the 2-hour chart to balance noise reduction with trend sensitivity.
| Symbol | ATR Period | Multiplier | Notes |
| --- | --- | --- | --- |
| XAUUSD (Gold) | 10 | 3.5 | Wider multiplier to handle gold’s "whipsaws." |
| XAGUSD (Silver) | 12 | 3.0 | Silver requires a slightly longer period for stability. |
| EURUSD | 10 | 2.5 | Lower multiplier for tight-ranging FX pairs. |
| GBPUSD | 10 | 3.0 | Standard setting for the "Cable's" volatility. |
| USDCAD | 14 | 3.0 | Slightly slower period to filter CAD oil-related noise. |
| AUDJPY | 10 | 2.8 | Captures yen-carry trade trends effectively. |
| GBPJPY | 12 | 4.0 | High volatility requires a much wider multiplier. |
| BTCUSD | 10 | 4.0 | Wide multiplier to avoid being stopped out by BTC spikes. |
Disclaimer: Trading foreign exchange is highly speculative and carries a substantial risk of loss. Past performance does not guarantee or predict future results. The publisher, and any associated software, automated trading systems ("bots"), or indicators, are not responsible for any financial losses or damages resulting from their use. You alone assume all risk.
