Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Signals
Big Move Predictor ProThis indicator uses support, resistance and EMA lines to predict accurately which way the market will go and will give you buy or sell signals. With backtest results of 67.5% this indicator is one the best free indicators you can use right now.
Blockcircle MTE V2 - Momentum Trading EngineBlockcircle MTE V2 - Momentum Trading Engine is a comprehensive multi-indicator trading strategy designed for cryptocurrency and traditional markets. It combines momentum analysis, trend confirmation, and smart money indicators to identify high-probability entry and exit points across any timeframe.
This was built with the expert help of quantitative traders and investors in Blockcircle. MTE V1 was released in 2023, and MTE V2 was released in 2024. There is another version called the MTE V3 , which was released in 2025. MTE V2 uses a different methodology and has different modular functions.
MTE V2 excels at capturing momentum-driven moves by synthesizing signals from multi-timeframe momentum oscillators, RSI boundaries, Heikin-Ashi candle analysis, Slow Stochastic crossovers, and institutional Open Interest data-all within a single framework.
KEY FEATURES
Multiple Entry Conditions below
T3-CCI Momentum Indicator - Smoothed CCI using stacked moving averages for noise-reduced momentum signals with configurable thresholds and multi-timeframe confirmation
RSI Boundary Conditions - Dual RSI filters with customizable timeframes, periods, and operators to confirm overbought/oversold zones
Heikin-Ashi Analysis - Optional Heikin-Ashi candle patterns including Higher Highs/Lower Lows detection for early trend shift identification
Slow Stochastic Filter - K/D crossover confirmation with customizable smoothing to validate momentum direction
Open Interest Integration - Monitor institutional positioning via aggregated OI data from Binance, BitMEX, and Kraken
Price Level Conditions - Up to 3 configurable price levels using EMA, SMA, HMA, or raw price across any asset and timeframe
Multi-Timeframe Confirmation - Validate signals against higher timeframes to filter noise and align with larger trends
Multiple Exit Conditions below
Fixed Stop Loss & Take Profit - Percentage-based SL/TP with automatic position management
Trailing Stop Loss - Dynamic trailing stop that activates after reaching profit threshold, with configurable trail distance
Exit on Opposite Signal - Option to close positions when contrary signals appear (disables TP when enabled)
HTF Exit Triggers - Exit positions based on percentage changes on higher timeframes
T3-CCI Invalidation - Close trades when momentum invalidates beyond specified thresholds
Open Interest Exit - Exit based on institutional OI threshold breaches
Automation & Alerts
Bot-Compatible Alert Messages - Clean, standardized alerts (LONG_OPEN, LONG_CLOSE, SHORT_OPEN, SHORT_CLOSE) compatible with 3Commas, Cornix, WunderTrading, Binance Signal Bot, ByBit Signal Bot, and other execution services
Dual Alert System - Works with both "Order fills only" AND "alert() function calls only" TradingView alert modes
Customizable Alert Text - Full control over entry and exit message content for any webhook format
Limit Order Support - Optional limit order entries with adjustable price offset for better fills
Backtesting & Analysis
Flexible Date Range - Define precise start and end dates for historical backtesting
Visual Trade Markers - Clear triangular markers showing entry points on the chart
Stop Loss Visualization - Real-time SL level plotting for active positions
Price Level Overlays - Optional display of EMA/SMA/HMA reference levels
How It Works
Signal Generation
MTE V2 generates entry signals when multiple configured conditions align:
Momentum Confirmation - shows increasing/decreasing momentum above threshold
RSI Validation - Price is within specified RSI bounds (e.g., RSI < 64 for longs)
Stochastic Alignment - Slow Stochastic shows rising/falling momentum
Price Level Check - Current price satisfies the relationship with the configured moving averages
Open Interest Filter - Institutional positioning meets threshold requirements
Position Management
Once in a trade, MTE V2 continuously monitors:
Stop loss levels (fixed or trailing)
Take profit targets
Opposite signal generation
Higher timeframe invalidation
Momentum reversal
Configuration Guide
Step 1: Define Backtest Period: Set your desired historical date range for strategy testing.
Step 2: Configure Entry Conditions: Enable and tune the indicators you want to use:
Momentum: Best for trending markets, adjust period and threshold sensitivity
RSI Bounds: Set overbought/oversold levels based on asset volatility
Heikin-Ashi: Enable for smoother trend detection, especially on lower timeframes
Slow Stochastic: Fine-tune K, D, and smoothing periods for your asset
Price Levels: Define key EMA/SMA levels that act as support/resistance
Step 3: Set Exit Rules: Configure your risk management:
Stop Loss: Recommended 5-15% for crypto, 2-5% for traditional markets
Take Profit: Set based on average winning trade expectations
Trailing Stop: Enable for trend-following strategies to lock in profits
Step 4: Configure Alerts: Set up alerts for automated trading:
Use default messages (LONG_OPEN, etc.) for most bots
Customize messages for specific webhook JSON formats
Create alerts using "Order fills only" for most reliable execution
Bot Integration
MTE V2 sends clean, standardized signals perfect for automated trading:
Default Alert Message using order_fills()
Open Long - LONG_OPEN using alert()
Close Long - LONG_CLOSE using alert()
Open Short - SHORT_OPEN using alert()
Close Short - SHORT_CLOSE using alert()
Compatible Platforms:
3Commas
Cornix Bot
WunderTrading
Binance Signal Bot
ByBit Signal Bot
Alertatron
TradingView Webhooks
Any JSON webhook service
If you would like to try it live, please comment below or send me a DM!
The FULL USER GUIDE with step-by-step instructions is posted HERE
Chan Theory MACD Divergence | CJZT# Chan Theory MACD Divergence | CJZT
## Overview
This is the companion MACD subplot indicator for Chan Theory structural analysis. It visualizes MACD divergence directly on the histogram, making it easier to identify Type I buy/sell signals (divergence-based trend reversals). This indicator works in perfect sync with the main Chan Theory indicator to provide visual confirmation of divergence patterns.
**Why This Indicator?**
- **Visual Divergence Confirmation**: Displays divergence lines and labels directly on MACD histogram, eliminating guesswork
- **Multi-Level Divergence Detection**: Tracks divergence across pen-level, segment-level, and trend-level structures
- **Four Divergence Methods**: Amplitude, MACD Area, MACD Histogram, or combined - choose what works best for your strategy
- **Real-Time Alerts**: Get notified instantly when divergence patterns form across different structural levels
- **Perfect Sync**: Automatically synchronizes with the main indicator's structural analysis
**Key Features:**
- MACD histogram with divergence visualization
- Pen/Segment/Trend level divergence tracking
- Type I signal divergence confirmation
- Customizable divergence detection methods
- Multi-timeframe divergence alerts
- Clean, distraction-free subplot design
## What Makes This Indicator Original
This indicator is an original implementation designed specifically for Chan Theory divergence analysis with unique features not found in standard MACD indicators:
**1. Synchronized Structural Analysis**
Automatically synchronizes with the main Chan Theory indicator's pen/segment/trend structure using identical K-line containment processing and fractal detection, ensuring perfect alignment between main chart and MACD analysis.
**2. Multi-Level Divergence Visualization**
Unlike standard MACD indicators that only show the histogram, this indicator draws divergence lines connecting MACD peaks/troughs, labels divergence types (pen/segment/trend level), and tracks divergence across three structural levels.
**3. Four Distinct Divergence Detection Methods**
Provides flexibility with Amplitude, MACD Area, MACD Histogram (most visual), or Either Method - allowing traders to choose the most appropriate method for their strategy.
**4. Integrated Expected Signal System**
Shows anticipated divergence patterns before full confirmation, allowing traders to prepare for high-probability setups while awaiting formal confirmation.
**5. Companion Indicator Design**
Specifically designed to work seamlessly with "Chan Theory - Chanlun MAX | CJZT" main indicator, providing complete Chan Theory analysis when used together.
## Disclaimer
- This script is for technical analysis reference only
- Does not constitute investment advice or trading recommendations
- Divergence signals should be confirmed with price action
- Users should make independent trading decisions and manage their own risk
- Recommended for educational purposes and as a supplementary analysis tool
## Core Functions
### 1. MACD Divergence Visualization
Displays divergence relationships directly on the MACD histogram:
- **Pen Divergence**: Compare MACD between consecutive pens
- **Segment Divergence**: Identify divergence at segment completion
- **Trend Divergence**: Detect major trend exhaustion signals
### 2. Four Divergence Detection Methods
| Method | Description |
|--------|-------------|
| **Amplitude Divergence** | Compare price swing amplitude |
| **MACD Area Divergence** | Compare MACD histogram area sum |
| **MACD Histogram** | Compare peak histogram values (recommended) |
| **Either Method** | Trigger when any method shows divergence |
> **Pro Tip**: The MACD Histogram method is most intuitive when used with this subplot indicator, as you can visually see the histogram peak comparison.
### 3. Type I Signal Requirements
Configure when Type I signals can form:
- **Must Have Pivot**: Segment must contain at least one pivot zone
- **Pivot or 3+ Pens**: Segment has pivot OR contains 3+ pens
- **Pivot or 5+ Pens**: Segment has pivot OR contains 5+ pens
### 4. Alert System
Comprehensive divergence alerts:
- **Sub-level Divergence**: Pen-level divergence alerts
- **Main-level Divergence**: Segment-level divergence alerts
- **Big-level Divergence**: Trend-level divergence alerts
- **Multi-level Resonance**: Alerts when divergence aligns across levels
## Settings Reference
### Display Settings
| Setting | Description |
|---------|-------------|
| Fast Pen Mode | Allow pens without complete fractals |
| Pen Type | Classic/Optimized/4K/5K/Strict |
| Single Pen to Segment | Enable level upgrade features |
### Divergence Settings
| Setting | Description |
|---------|-------------|
| Divergence Method | Amplitude/MACD Area/Histogram/Either |
| Type I Pivot Requirement | Pivot or pen count requirements |
| Enable Divergence Check | Force divergence validation for Type I |
### Alert Settings
| Setting | Description |
|---------|-------------|
| Expected vs Confirmed | Alert on expected/confirmed/both signals |
| Show Expected Signals | Display anticipated divergence patterns |
## How to Use
### Setup
1. Add "Chan Theory - Chanlun MAX | CJZT" to your main chart
2. Add this "Chan Theory MACD Divergence | CJZT" indicator to a subplot
3. Both indicators will automatically synchronize their structural analysis
> **Important**: Both indicators have identical default settings. If you need to modify any configuration (such as pen type, single pen to segment conditions, etc.), make sure to apply the same changes to both the main chart and subplot indicators to maintain synchronized structural analysis.
### Reading Divergence
- **Divergence Lines**: Connect MACD peaks/troughs showing divergence
- **Divergence Labels**: Display divergence type and strength
- **Color Coding**: Visual distinction between bullish/bearish divergence
### Best Practices
- Use MACD Histogram method for clearest visual confirmation
- Watch for multi-level divergence resonance for strongest signals
- Combine with main indicator's Type I signals for entry confirmation
- Set alerts for your preferred divergence detection method
## Notes
- This script is designed to work with Chan Theory - Chanlun MAX | CJZT
- For technical analysis reference only
- Does not constitute investment advice
- Users should make independent trading decisions
---
# 概述
本指标是缠论结构分析的配套MACD副图指标。它直接在MACD柱状图上可视化背驰关系，使识别一类买卖点（基于背驰的趋势反转）变得更加容易。本指标与主图缠论指标完美同步，提供背驰形态的视觉确认。
**为什么选择本指标？**
- **可视化背驰确认**：直接在MACD柱状图上显示背驰线和标签，消除猜测
- **多级别背驰检测**：跟踪笔级别、线段级别和趋势级别的背驰
- **四种背驰方法**：振幅、MACD面积、MACD柱体或组合 - 选择最适合您策略的方法
- **实时警报**：当不同结构级别形成背驰形态时立即获得通知
- **完美同步**：自动与主指标的结构分析同步
**核心功能：**
- 带背驰可视化的MACD柱状图
- 笔/线段/趋势级别背驰跟踪
- 一类信号背驰确认
- 可自定义背驰检测方法
- 多周期背驰警报
- 简洁、无干扰的副图设计
## 核心功能
### 1. MACD背驰可视化
直接在MACD柱状图上显示背驰关系：
- **笔背驰**：比较连续笔之间的MACD
- **线段背驰**：识别线段完成时的背驰
- **趋势背驰**：检测主要趋势衰竭信号
### 2. 四种背驰检测方法
| 方式 | 说明 |
|------|------|
| **振幅背驰** | 比较价格振幅 |
| **MACD面积背驰** | 比较MACD柱状图面积总和 |
| **MACD柱体** | 比较柱状图峰值（推荐） |
| **任一方式** | 任一方法显示背驰时触发 |
> **使用技巧**：MACD柱体方式配合本副图指标使用最直观，因为您可以直观地看到柱状图峰值比较。
### 3. 一类信号要求
配置一类信号形成条件：
- **必须有中枢**：线段必须包含至少一个中枢
- **有中枢或3笔以上**：线段有中枢或包含3笔以上
- **有中枢或5笔以上**：线段有中枢或包含5笔以上
### 4. 警报系统
全面的背驰警报：
- **次级别背驰**：笔级别背驰警报
- **本级别背驰**：线段级别背驰警报
- **大级别背驰**：趋势级别背驰警报
- **多级别共振**：跨级别背驰对齐时警报
## 设置参考
### 显示设置
| 设置项 | 说明 |
|--------|------|
| 急速成笔 | 允许无完整分型成笔 |
| 笔的类型 | 老笔/新笔/4K/5K/严笔 |
| 单笔成段 | 启用级别升级功能 |
### 背驰设置
| 设置项 | 说明 |
|--------|------|
| 背驰判断方式 | 振幅/MACD面积/柱体/任一 |
| 一类中枢要求 | 中枢或笔数要求 |
| 启用背驰检查 | 强制一类背驰验证 |
### 警报设置
| 设置项 | 说明 |
|--------|------|
| 预期与确认 | 预期/确认/全部信号警报 |
| 显示预期信号 | 显示预期背驰形态 |
## 使用方法
### 设置步骤
1. 在主图添加 "Chan Theory - Chanlun MAX | CJZT"
2. 在副图添加本 "Chan Theory MACD Divergence | CJZT" 指标
3. 两个指标将自动同步其结构分析
> **重要提示**：两个指标的默认设置已保持一致。如果您需要修改配置（如笔的类型、单笔成段条件等），请确保在主图和副图指标中同时进行相同的修改，以保持结构分析的同步。
### 读取背驰
- **背驰线**：连接显示背驰的MACD峰值/谷值
- **背驰标签**：显示背驰类型和强度
- **颜色编码**：视觉区分多头/空头背驰
### 最佳实践
- 使用MACD柱体方式获得最清晰的视觉确认
- 关注多级别背驰共振以获得最强信号
- 结合主指标的一类信号进行入场确认
- 为您偏好的背驰检测方法设置警报
## 原创性声明
本指标是专为缠论背驰分析设计的原创实现，具有标准MACD指标所没有的独特功能：
**1. 结构同步分析**
与主图缠论指标自动同步，使用相同的K线包含处理和分型识别逻辑
**2. 多级别背驰可视化**
在MACD柱状图上绘制背驰线、标签，跟踪笔/线段/趋势三个级别的背驰
**3. 四种背驰检测方法**
提供振幅、MACD面积、MACD柱体、任一方式四种选择
**4. 预期信号系统**
在完全确认前显示预期背驰形态，提前准备交易
**5. 配套指标设计**
专门设计用于配合主图缠论指标，两者结合实现完整分析
## 免责声明
- 本脚本仅供技术分析参考
- 不构成投资建议或交易推荐
- 背驰信号应结合价格行为确认
- 用户应自行做出交易决策并管理风险
- 建议用于教育目的和作为辅助分析工具
Big Move Spot-By TARA-SwingLab FrameworkThis advanced Pine Script v6 indicator fuses Pivot Boss Day Types (TR/WD/MD/TD/RD) with a proprietary *Scoring Engine* (up to 100+ boost) for precise entries.
*Key Features:*
- *Day Classification:* Auto-detects Trader Day (low gap), Weak/Strong trends via gap analysis
- *Multi-Factor Score:* RSI (multi-TF), Volume surge, ATR expansion, Gap + Momentum
- *Visual Signals:* Strong/Medium Bull/Bear shapes + Background colors + Real-time Table (Gap%, Prob%, Action: ENTER NOW/PREPARE/WAIT)
- *Session Filter:* 9:15-14:00 IST only
- *Alerts:* "🚀 STRONG BULL NIFTY TD Score:92 LONG!"
*Backtested Edge:* 3:1 R:R targets, 60-75% prob moves on non-TR days.
Perfect for intraday traders! Scalping & Directional Trading.
Source protected.
Mkt-Viper ProMkt-Viper Pro
🔶 Overview
Mkt-Viper Pro is a comprehensive market intelligence suite designed to unify trend detection, structural analysis, and price action geometry into a single decision-making framework. Rather than relying on a single lagging calculation, Viper Pro utilizes a "Path Efficiency" model that weighs price movement against the energy (volatility and volume) required to achieve it.
The result is a chart overlay that separates statistically significant trend shifts from market noise. Traders receive adaptive Trend Signals based on volume and volatility thresholds, a background Trend Navigator Cloud for trend context, dynamic Kinetic Ranges for support/resistance, candle pattern detection, an automated Geometric Pattern engine, and much more detailed below. Internally, the system functions as a synaptic network—where momentum, volume, and price structure must align before a signal is validated.
In short, Mkt-Viper Pro is designed for traders who require a trend following and technical roadmap for filtering out low-quality volatility to focus on structural expansions and high-probability reversals.
🔶 What makes Mkt-Viper Pro unique?
Mkt-Viper Pro stands out by combining a volatility-adaptive trend engine with a complete confluence suite. Uniquely, it uses a "Path Efficiency" calculation to separate messy price action from true momentum, automatically filtering out noise during choppy markets. This core logic is then reinforced by multiple layers of environmental context—allowing you to check every move against the background Trend Navigator, Viper Band, Kinetic Ranges, geometric pattern engine and much more. Instead of relying on a single data point, the system provides you with suite of confluences to help you make well informed trading decisions.
Main Features
🔶 Viper Trend Signals
The core of the system is a sophisticated trend detection engine designed to filter out market noise. Instead of reacting to every minor price fluctuation, the algorithm evaluates momentum pressure relative to current volatility. It validates a directional shift only when the market exerts enough "energy" to breach calculated stability thresholds, ensuring that changes in trend are statistically significant rather than random noise.
These mechanics are translated onto the chart through a clean and intuitive visual interface:
Signal Logic:
Trend signals are generated when the price decisively shifts directional momentum. These are marked by clean Triangle Signals at the exact moment of the shift, keeping the chart uncluttered.
Trend Coloring:
To provide instant visual feedback on the market state, the indicator applies Candle Coloring in two distinct modes. Traders can choose a Static mode for clear, binary directional cues, or a Gradient mode that intensifies the color saturation as the trend gains strength and momentum.
Strong vs. Normal:
The system automatically grades every signal. A "Strong" classification is issued when the immediate momentum shift aligns perfectly with the broader, longer-term market context, identifying high-confluence setups with greater weight.
Auto-Tuning & Sensitivity Control
Market conditions are never static; volatility expands and contracts constantly. To address this, Viper Pro is equipped with a dual-mode calibration engine:
Auto-Tuning:
When enabled, the system actively measures "Path Efficiency"—calculating in real-time how choppy or direct price action is. It automatically adjusts its sensitivity, tightening validation criteria during clean trends and loosening them during chop to prevent false signals. Users can select from Fast, Moderate, or Slow profiles to suit their trading style.
Manual Tuning:
For traders who require fixed parameters for backtesting or specific asset classes, the system offers a granular 1–50 sensitivity dial. This allows for precise manual calibration to specific timeframes, giving you total control over how reactive the signals should be.
⚠️ Important:
These signals identify potential momentum shifts and should not be traded blindly. For high-probability outcomes, always validate the signal by ensuring it aligns with other confluences within the suite or other forms of technical analysis.
🔶 Trend Navigator Cloud
The Trend Navigator serves as the indicator’s "Context Awareness" layer, visualizing the broader ambient direction or "weather" of the market. Solving the classic dilemma between "lag" and "noise," this feature utilizes an Adaptive Flow Algorithm that adjusts its internal responsiveness based on real-time RSI and market velocity.
Smart Adaptation:
Instead of using a fixed lookback period that fails when market conditions change, the Navigator automatically detects the speed of price action. It tightens its tracking during impulsive trends to reduce lag, while loosening and smoothing itself during choppy consolidation to prevent false reversals.
Dynamic Structure:
The feature renders as a background cloud that expands and contracts with volatility. This creates a visual "breathing" support and resistance structure that naturally contains price action during healthy trends.
Usage:
Directional Bias:
When the Cloud is bullish color and below the trend, the macro environment is Bullish; look primarily for Long signals. When below the price action and bearish color, the environment is Bearish; focus on Short signals.
Trend Floor:
In established trends, the Cloud acts as a dynamic floor (or ceiling), highlighting high-probability zones for pullbacks and potential continuation entries.
Custom Tuning:
Users retain full control over the Navigator's behavior. You can enable Auto-Tuning to let the engine select the optimal sensitivity (Fast, Medium, or Slow) based on current conditions, or use the Manual Speed Dial (1–50) to fine-tune the cloud's reactivity to your specific timeframe or asset class.
🔶 Viper Band
The Viper Band is engineered as a multi-dimensional market utility, seamlessly consolidating four distinct technical concepts into a single, adaptive overlay. This unified approach provides a complete view of immediate price dynamics:
Trend Following:
It acts as an immediate directional filter. When the price is holding above the band, the short-term structure is Bullish; when below, it is Bearish. The band changes color dynamically to reinforce this state.
Dynamic Support & Resistance:
The outer edges of the band are volatility-adjusted. In a strong trend, the band creates a rising floor (or falling ceiling), acting as a trailing support zone where price often bounces to continue the move.
Market Equilibrium:
The center of the band represents the market's "fair value" or equilibrium point relative to the current timeframe. It filters out tick-by-tick noise to show the true mean price.
Price Magnet:
Because markets cannot stay overextended indefinitely, the Viper Band acts as a gravitational magnet. When price deviates too far from the band, it signals an overextended state, often preceding a "snap-back" or mean reversion event where price returns to the Band.
Usage:
Trend Health:
In a healthy, sustainable trend, the band often acts as a continuous trailing support or resistance zone.
Re-Entry:
For trend-followers, pullbacks that touch or test the Viper Band often present high-probability, low-risk opportunities to rejoin the dominant move.
🔶 Viper Kinetic Ranges (VKR)
Standard pivot points and static support lines often fail because they treat every trading session the same, ignoring the unique volatility profile of the current day. Viper Kinetic Ranges (VKR) solves this by generating dynamic Support and Resistance structures that actively adapt to the market's physical "energy."
Volume-Weighted Expansion:
Unlike standard volatility envelopes that rely solely on price range, VKR incorporates Volume Weighting. When volume flows into the market (e.g., during market opens or news events), the defined range automatically expands. This helps prevent "fake-out" signals by proving that the market needs more energy to validate a true breakout during high-activity periods.
State-Change Logic:
The levels do not drift aimlessly with every tick. Instead, they operate on a State-Change basis. The Support and Resistance levels remain locked and stable until the market exerts enough directional force to force a "state transition." When this happens, the levels "step" up or down to a new equilibrium zone. This stepping behavior helps traders visualize exactly when the market has accepted a new value area versus when it is simply ranging.
Concept:
Think of these levels as the "lungs" of the market. They expand and contract to show where price is statistically likely to find equilibrium or rejection based on the current expenditure of buying and selling energy.
Usage:
Trend Validation:
Use the central Equilibrium Level (Datum) as your directional "Line in the Sand." As long as price holds above this stepped line, the immediate value area is Bullish. A breach below signals a potential regime change.
Precision Targeting:
The outer Major Structures represent statistical exhaustion points extended by volatility. These are ideal, scientifically derived locations to set Take Profit orders or anticipate a mean-reversion bounce.
Support and Resistance:
Each level may produce some type of reaction and can act as support and resistance levels presenting potential opportunities for entries or profit taking.
🔶 Auto-Geometric Chart Patterns
Viper Pro features a "V7" pattern recognition engine that runs a continuous, frame-by-frame structural analysis of price action. Instead of waiting for a pattern to complete before drawing it (hindsight), this engine detects Wedges, Channels, and Triangles as they form in real-time.
Vertex Array Technology:
Unlike basic scripts that simply connect the highest highs and lowest lows, the Viper Engine stores historical pivot points in dynamic arrays. It analyzes the mathematical relationship between these points—calculating slope ratios and width consistency—to determine if a valid geometric structure exists.
⚠️ Technical Disclosure: Pattern Dynamic Regeneration
The Geometric Pattern Engine utilizes a process of "Functional Repainting" (Dynamic Object Regeneration). Because chart patterns such as Wedges and Channels are evolving structures, the indicator continuously re-evaluates the validity of vertices in real-time. As the price expands, trend lines will adjust to new market data to keep information relevant. Additionally, as price data unfolds, old patterns or invalidated patterns will be removed from the chart automatically in order to print a newer more recent pattern to keep your charts clean and up to date on the most recent price data.
🔶 Candle Pattern Recognition
The Candle Pattern Recognition Module utilizes a Context-Aware Engine to scan for high-probability Reversal and Continuation structures (Hammers, Stars, Dojis, and Absorptions).
Trend & Context Filtering:
A pattern is only as good as its location. The engine filters signals based on the broader trend (e.g., looking for Hammer candles only during downtrends and Falling Stars only during uptrends). This ensures you are trading reversals at logical structural points, not random noise.
Quality & Volume Logic:
The system includes an integrated "Quality Filter." It ignores patterns formed on low liquidity. For a signal to be valid, it must demonstrate a "Footprint of Interest"—verified by a relative spike in Volume or an expansion in ATR (Range) relative to the recent lookback period.
The Patterns:
Absorption:
Highlights powerful shifts in control (often called Engulfing) where one side decisively overtakes the other.
Stars & Hammers:
Pinpoints rejection wicks that signal exhaustion.
Dojis:
Identifies moments of indecision and potential equilibrium.
🔶 Swing Failure Pattern (SFP) Detection
Institutional trading often involves seeking liquidity at obvious structural levels. The SFP engine is designed to automatically detect these "Liquidity Sweeps" or "Bull/Bear Traps" where the market hunts for stop-losses before reversing.
The Logic:
The system actively monitors significant Pivot Points. An SFP is validated when the price pierces a key Pivot High or Low—taking out liquidity—but subsequently fails to hold that level and closes back within the previous range.
Visuals:
When a sweep occurs, the indicator plots a discrete dashed line connecting the original pivot to the current "sweep" candle. This visualizes the exact "Trap Zone" where breakout traders were caught offside, signaling a potential high-probability reversal opportunity.
Usage:
Fade the Breakout:
An SFP is a classic "Fade" signal. When a Bearish SFP appears at a high, it implies that buyers have potentially been trapped; traders often look for Short entries here. Conversely, a Bullish SFP at a low suggests sellers are trapped, offering a potential Long opportunity.
🔶 Reversal Cloud
The Reversal Cloud acts as a statistical boundary gauge, designed to visualize when price action has extended significantly beyond its average value. Markets typically spend the majority of their time within a standard distribution; this feature highlights the rare moments when volatility pushes price into statistical extremes.
The Logic:
The engine calculates a dynamic deviation envelope based on recent market volatility. Rather than predicting a specific turning point, it identifies zones where the market is "stretched" relative to its baseline. When price enters this colored "Horizon," it indicates that the current move is statistically extended, which historically correlates with periods of consolidation or mean reversion.
Visuals:
The feature renders as a shaded zone at the upper and lower limits of the chart. It remains passive during normal price action but highlights "Breach" events when price pushes into these outer deviation bands.
Usage:
Context Awareness:
Use the Cloud to gauge the maturity of a move. Entering new impulsive trades while inside the Reversal Cloud carries higher statistical risk, as the price is already far from equilibrium.
Reaction Watch:
For traders already in a position, a breach of the Cloud serves as a cue to tighten risk management or monitor for signs of momentum loss, as the market digests the recent expansion.
⚠️ Important Note:
While these zones represent statistical extremes, they are not hard barriers. In powerfully trending markets or during high-impact news events, price can "ride" or expand these bands for extended periods without reversing immediately. Do not trade these zones blindly; always wait for secondary confirmation of momentum loss (such as a structural break or a rejection candle) before anticipating a reversal.
🔶 Key Levels & Session Structure
Successful trading requires knowing where liquidity resides. Viper Pro automates the analysis of "Market Memory" by mapping significant historical and time-based structures directly onto your chart.
The Logic:
It automatically plots the Previous Day (PDH/PDL), Previous Week (PWH/PWL), and Previous Month (PMH/PML). These levels often act as major "Magnets" where price reverses or accelerates as it seeks liquidity.
Session Profiles:
Intraday price action is heavily influenced by the distinct behaviors of the global trading centers. This module highlights the trading ranges of the Asia, London, and New York sessions.
The Logic:
By visualizing the High and Low of the previous session, traders can spot "Session Sweeps"—a common phenomenon where the market manipulates price to break a prior session's high or low to trap traders before reversing.
Usage:
Confluence:
These levels serve as an excellent filter for Trend Signals. For example, a "Buy" signal generated directly below a Weekly High requires caution, whereas a signal bouncing off a Daily Low carries higher conviction.
Targeting:
Use these static structural levels as scientifically derived potential Take Profit zones, as price often pauses or reacts when testing these historical boundaries.
🔶 Opening Range Breakout (ORB)
The first 15 minutes of the trading session (09:30–09:45 ET) often establish the initial balance and sentiment for the entire trading day. The Viper ORB engine automates the identification of this critical volatility window.
The Logic:
The system defines the "Opening Range" by capturing the highest high and lowest low of the session's first 15 minutes. It waits for the opening time window to fully close before projecting the levels, ensuring you are planning trades against confirmed structure rather than developing noise.
Visuals:
Once the opening window concludes, two distinct levels (High and Low) are projected forward for the remainder of the session.
Usage:
Breakout Plays:
A clean close above the Opening Range High often signals strong buying intent, suggesting a trend day.
Range Fading:
If price breaks the range but fails to hold, price often rotates back to the opposite side of the opening range.
Support/Resistance Flip:
Later in the day, these levels often act as strong support or resistance when retested.
🔶 Visual Intelligence (Color Themes)
Visual clarity is essential for rapid decision-making. A cluttered or poorly contrasted chart can lead to cognitive fatigue. To address this, Mkt-Viper Pro features a global Color Theme Engine that instantly synchronizes every element of the suite—signals, candles, clouds, and text—to a unified palette.
The Presets:
The system comes with five professionally designed profiles to suit different trading environments and lighting conditions:
Viper Original: High-contrast Neon Green & Purple (Optimized for Dark Mode).
Classic: Standard Green/Red configuration for traditionalists.
Cool Blues: A calming Blue/Violet palette designed to reduce emotional reactivity.
Ember & Ash: High-warmth Orange/Slate contrast.
Monochrome: Grayscale/Silver logic for distraction-free structural analysis.
Customization:
Traders with specific branding requirements or accessibility needs (such as color blindness) can select "Custom Theme." This unlocks distinct color inputs, allowing you to define your own specific Bullish, Bearish, and Neutral colors that instantly propagate across the entire indicator suite.
🔶 How to use:
Mkt-Viper Pro is designed to reduce "Analysis Paralysis" by organizing data into a clear decision hierarchy. Rather than chasing every signal, we recommend a workflow based on Confluence:
Trend Continuation (The Pullback)
This is the highest probability approach, trading with the momentum.
1. Identify Trend:
Ensure the Viper Trend Signal is Bullish and the Navigator Cloud is bullish.
2. Wait for Value:
Do not chase pumps. Wait for price to pull back into the Navigator Cloud or the center of the Viper Band .
3. Trigger:
Look for a specific confirmation candle (e.g., a Hammer or Bullish Absorption ) to form within that support zone.
4. Target:
Target the next Kinetic Range (VKR) resistance level above.
Structural Reversal (The Fade)
1. Identify Exhaustion:
Wait for price to push into the Reversal Cloud (Statistical Extreme) or hit a major HTF Level (e.g., Previous Week High).
2. Spot the Trap:
Watch for an SFP (Swing Failure Pattern) or a Geometric Wedge pattern to form, indicating momentum loss.
3. Confirmation:
Wait for a counter-trend Candle Pattern (e.g., Falling Star) or a flip in the Viper Trend Signal before entering. Trying to catch a falling knife without this confirmation is not recommended.
The Breakout
Trading expansion from consolidation.
Context: Identify a tightening Geometric Pattern (Triangle) or a clearly defined
Opening Range (ORB) .
Expansion: Wait for a clean candle close outside of the pattern/range.
Validation: Ensure the breakout moves through the Kinetic Range Equilibrium , proving that real volume is backing the move.
Note:
Mkt-Viper Pro is engineered as a complete standalone system for Trend and Structural analysis. However, it also functions as the core "Chart Overlay" module within the wider Mkt-Viper 3-part ecosystem. It is calibrated to synchronize visually and mathematically with its sister scripts, ensuring a unified data view without conflicting signals.
🔶 Realistic Expectations & Risk Management
It is vital to understand that Mkt-Viper Pro is a technical analysis instrument, not a crystal ball. No algorithm can predict the future with 100% certainty. The goal of this system is not to eliminate losses, but to provide a statistical edge by aligning multiple factors of confluence.
Win Rate vs. Risk/Reward:
High-probability trading is not just about "Win Rate"; it is about the relationship between Risk and Reward.
The Edge:
By using the SFP wicks or Viper Band extremes for tight stop-loss placement, and targeting the Kinetic Ranges for exits, the system is designed to identify setups with favorable Risk-to-Reward ratios (e.g., 1:2 or 1:3).
The Reality:
Even a system with a modest win rate can be highly profitable if the winning trades are larger than the losing trades. This suite is built to help you identify those skewed opportunities.
Market Conditions & Drawdown:
Like all trend-following systems, the greatest risk occurs during undefined, choppy range-bound markets where price whipsaws without momentum.
While the "Path Efficiency" filter is designed to minimize this, false signals can and will occur during periods of low liquidity.
Mitigation:
We strongly recommend avoiding entries when the Navigator Cloud is flat/contracted (indicating zero momentum) or when price is stuck between two tight Kinetic Range levels.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, back test, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
15M Swing Structure & Retracement Algo (RB Trading)This script is an intraday structure analysis tool designed to map swing behavior retracement zones and projected extensions on the fifteen minute chart. It is purpose built for EUR/USD GBP/CAD and USD/CAD and is not intended for other markets or timeframes.
The tool highlights mathematically derived retracement areas after confirmed swing formations to help traders evaluate structure rather than predict direction.
Intended Use
✓ Timeframe fifteen minute only
✓ Markets EUR/USD GBP/CAD USD/CAD
✓ Style intraday swing structure analysis
✓ Best during London and New York sessions
✓ Not designed for Asia session conditions
Core Logic
✓ Swing highs and lows detected using a configurable lookback
✓ Trend context defined by 50 and 200 EMA relationship
✓ Swing range measured between most recent confirmed pivots
✓ Key retracement zone calculated between 50 and 61.8 percent
✓ Extension reference levels projected beyond the swing range
Visual Output
✓ Swing connection line marking the measured range
✓ Retracement zone shading when price enters the 50 to 61.8 area
✓ Extension reference levels at 161.8 200 and 261.8
✓ Color coding reflects structural context
• Green for bullish structure
• Red for bearish structure
Using RB Trading DeM Bars for Confirmation
For additional confirmation users can combine this script with the free RB Trading DeM Bars indicator.
✓ The DeM Bars appear as a histogram at the bottom of the chart
✓ Best used to assess pullback quality into the retracement zone
✓ Ideal confirmation occurs when momentum fades during the pullback
✓ Expansion in momentum as price exits the zone supports continuation
The DeM Bars are not a signal tool on their own. They are designed to confirm exhaustion or reacceleration as price interacts with the structural retracement area.
Why Fifteen Minute
The calculations are calibrated for intraday behavior on the fifteen minute chart. Higher timeframes develop structure too slowly for active evaluation. Lower timeframes introduce excess noise and reduce swing reliability.
Structure Interpretation
Bullish structure
✓ 50 EMA above 200 EMA
✓ Retracements measured from swing high
✓ Extensions projected higher
Bearish structure
✓ 50 EMA below 200 EMA
✓ Retracements measured from swing low
✓ Extensions projected lower
The script reflects current structure only. It does not determine trade direction or outcome.
Inputs
✓ EMA lengths adjustable
✓ Swing lookback sensitivity
✓ Optional display toggles for zones lines and labels
✓ Reference level buffer for spread or volatility awareness
Important Notes
This tool analyzes historical price structure only. It does not provide entry signals predictions or guarantees. All levels are mathematical projections based on past price action and may or may not be respected in future movement.
Educational use only. Proper risk management is required. Test thoroughly before live application.
RB Trading
MarcoVieira - RSI All-in-One (alerts)@marco1981
Instagram marcovieira.oficial
Indicator MarcoVieira - RSI All-in-One (alerts) is a customized version of the classic RSI (Relative Strength Index). It includes several advanced features such as entry signals, divergences, moving averages for smoothing, dynamic coloring, and candle painting.
Main Components
Standard RSI Calculation
- Uses the default period of 14 (configurable) and price source (default: close).
- Traditional formula:
RSI=100-\left( \frac{100}{1+\frac{\mathrm{average\ gains}}{\mathrm{average\ losses}}}\right)
Smoothing with Moving Average
- Allows applying a moving average to smooth the RSI line.
- Available types: SMA, EMA, SMMA (RMA), WMA, VWMA, and an option with Bollinger Bands.
- RSI line can be dynamically colored (green/red) based on its position relative to the moving average.
Divergences
- Detects regular bullish and bearish divergences between RSI and price.
- Plots labels and lines to indicate divergences.
Buy and Sell Signals
- RSI Signals:
- Green triangles (buy) and red triangles (sell) appear when RSI crosses configurable levels (default: 30 and 70) and confirms with a confirmation level (default: 50).
- Includes filters such as neutral zone and bar-close confirmation.
- RSI Moving Average Signals:
- Blue diamonds (buy) and orange diamonds (sell) appear when the RSI moving average crosses extreme levels (default: 30 and 70).
- Diamonds are plotted at fixed positions (Y=8 and Y=92) to avoid interfering with RSI readability.
Candle Coloring
- Candles can be painted blue (buy signal) or yellow (sell signal) based on RSI signals.
Alerts
- Alerts available for each type of signal: RSI, moving average, and divergences.
Key Settings
- RSI Settings: Length, source, and divergence calculation toggle.
- Signal Settings: Buy/sell crossover levels, confirmation level, and filters (neutral zone, close confirmation).
- RSI vs MA Color Settings: Enable/disable dynamic coloring and choose colors.
- Candle Color Settings: Enable/disable candle painting and choose colors.
- MA Signal Settings: Enable/disable MA signals, crossover levels, and diamond colors.
- Smoothing: Configure type, length, and parameters of the moving average (including Bollinger Bands).
Signal Flow
- RSI Signal:
- Buy: When RSI crosses above the buy level (e.g., 30) and is below the confirmation level (e.g., 50), respecting filters.
- Sell: When RSI crosses below the sell level (e.g., 70) and is above the confirmation level, respecting filters.
- RSI MA Signal:
- Buy: When the RSI MA crosses below the buy level (e.g., 30).
- Sell: When the RSI MA crosses above the sell level (e.g., 70).
- Divergences:
- Bullish: RSI makes higher lows while price makes lower lows.
- Bearish: RSI makes lower highs while price makes higher highs.
Visualization
- RSI plotted as a line with dynamic colors (if enabled) or purple.
- Moving average plotted in orange (if enabled).
- Bollinger Bands (if enabled) plotted in green with fill.
- Signal triangles (green/red) appear at the bottom/top of the panel.
- Diamonds (blue/orange) appear at fixed positions Y=8 and Y=92 (near panel edges).
Conclusion
This indicator combines multiple RSI-based strategies into a single tool. Traders can configure different types of signals (pure RSI, RSI MA, divergences) and filter them to reduce false signals. Visualization is rich and customizable, with alerts for each signal type.
⚠️ Note: Using multiple signals may cause confusion or conflicting signals. It is recommended to test and adjust settings according to the asset and timeframe.
Simplified Breakdown
📊 Main Features:
- Enhanced RSI
- Standard RSI (default 14)
- Gradient colors in overbought (70–100) and oversold (0–30) zones
- Reference lines at 30, 50, and 70
- Primary Signal System 🟢🔴
- Green triangles: Buy when RSI crosses above 30
- Red triangles: Sell when RSI crosses below 70
- Advanced filters (neutral zone, close confirmation)
- RSI Moving Average 🟧
- Smooths RSI with multiple MA types (SMA, EMA, WMA, etc.)
- Optional Bollinger Bands around MA
- Dynamic coloring: RSI green above MA, red below MA
- New MA Signals (Diamonds) 💎🔷
- Blue diamond (Y=8): RSI MA crosses below buy level (default 30)
- Orange diamond (Y=92): RSI MA crosses above sell level (default 70)
- Separate alerts for these signals
- Divergence Detection
- Identifies bullish and bearish divergences
- Plots "Bull" and "Bear" labels
- Candle Coloring
- Blue candles = buy signals
- Yellow candles = sell signals
- Complete Alert System
- Alerts for RSI signals
- Alerts for MA signals
- Alerts for divergences
🎯 Trading Logic:
- Combines 3 strategies:
- RSI crossing traditional levels (30/70)
- RSI MA crossing the same levels
- Price/RSI divergences
⚙️ Customizable Settings:
- Adjustable buy/sell/confirmation levels
- Option to disable any component
- Choice of 7 MA types
- Full control over colors and visualization
📈 How to Use:
- Strong Buy: Green triangle + Blue diamond
- Strong Sell: Red triangle + Orange diamond
- Divergences: Indicate possible reversals
- MA vs RSI: Short-term trend (dynamic colors)
👉 In short, the MV RSI is an “RSI All-in-One” that merges multiple technical approaches into a single visual panel—ideal for traders who rely on RSI but want extra confirmation before entering trades.
ICC PRO - Complete Trading SystemICC Trading, or Indication, Correction, Continuation, is a structured day/swing trading strategy that identifies market cycles for high-probability entries, focusing on price breaking key levels (Indication), pulling back (Correction) to grab liquidity, and then resuming the trend (Continuation) for entries, emphasizing discipline and market structure over impulsive trades. It helps traders avoid chasing breakouts by waiting for pullbacks, improving timing and risk management by understanding how institutions move markets.
ICC PRO INDICATOR - Complete User Guide
1. **✅ Break of Structure (BOS) Detection**
- Automatically identifies H1 bullish and bearish BOS
- Marks HH, HL, LH, LL on the chart
- Clear visual lines showing BOS levels
2. **✅ Supply & Demand Zones**
- Automatically draws demand zones (green boxes) at swing lows
- Automatically draws supply zones (red boxes) at swing highs
- Tracks how many times each zone is tested
- Zones extend forward to show upcoming resistance/support
3. **✅ Fair Value Gap (FVG) Detection**
- Identifies bullish FVGs (blue dashed boxes)
- Identifies bearish FVGs (purple dashed boxes)
- Only shows gaps larger than minimum ATR threshold
- Highlights imbalance areas where price may return
4. **✅ Multi-Timeframe Analysis**
- H1 timeframe for BOS identification
- M15 timeframe for entry signals
- Automatic structure analysis across timeframes
5. **✅ M15 Reversal Pattern Confirmation**
- Waits for M15 to print HH+HL (bullish reversal)
- Waits for M15 to print LH+LL (bearish reversal)
- Optional: Can disable and trade without waiting
6. **✅ Confluence Rating System**
- Rates each setup from C to A+
- Scores based on: BOS + M15 Reversal + S/D Zone + FVG + R:R
- Only trade A/A+ setups for highest probability
7. **✅ Professional TP/SL Calculations**
- Multiple TP methods: H1 swing, R:R ratios, ATR multiples
- Conservative vs Aggressive SL options
- Visual TP1, TP2, and SL lines on chart
8. **✅ Enhanced Dashboard**
- Shows current ICC phase
- Displays H1 trend direction
- Shows confluence score and rating
- Real-time R:R ratio
- Zone and FVG status
## 🎉 You're Ready to Trade!
The ICC PRO Indicator does the heavy lifting:
- ✅ Identifies BOS automatically
- ✅ Waits for proper correction
- ✅ Confirms M15 reversal
- ✅ Detects S/D zones
- ✅ Finds FVG confluence
- ✅ Calculates TP and SL levels
- ✅ Rates setup quality
- ✅ Sends you alerts
**Your job is simple**
1. Wait for A or A+ signal
2. Enter the trade
3. Set SL and TP from indicator
4. Manage the trade
5. Log results
**Remember**
- Discipline beats intelligence
- Quality over quantity
- Follow the system
- Trust the confluence rating
- Risk management is everything
Good luck, and may your ICC setups be A+ rated! 🚀📈
Kinetic Flow [PyraTime]📊 INDICATOR OVERVIEW
Kinetic Flow is a professional-grade momentum and trend-detection engine designed for traders who prioritize precision and clarity. By synthesizing Kinetic Flow Analysis with Fractal Efficiency Filtering, the V8 Flow edition provides a sophisticated, data-driven visualization of market regimes while systematically neutralizing noise through its proprietary "Chop Shield."
🎯 CORE TECHNOLOGIES
🔹 Kinetic Flow Engine
Adaptive Equilibrium: A state-managed basis line that calculates the path of least resistance.
Volatility-Scaled Ribbons: ATR-dynamic channels that expand and contract based on market energy.
Iron-Clad Stability: Logic-locked to closed-bar calculations to eliminate intrabar flickering and "ghost" signals.
🔹 Chop Shield (Fractal Efficiency)
Market Fragmentation Detection: Mathematically identifies when price action lacks directional efficiency.
Regime Filtering: Automatically shifts the indicator into a "Neutral" state during low-efficiency phases to prevent whipsaws.
Fibonacci Thresholding: Defaulted to 61.8% for optimal balance between speed and reliability.
🔹 Professional Signal System
Transition Labels: High-contrast BUY and SELL markers at momentum pivot points.
Overextension Logic: Strategic TP (Take-Profit) markers appear when the "Strain" on the kinetic ribbon reaches exhaustion levels.
Visual Regime Mapping: Adaptive candle coloring provides an immediate heat-map of current market conditions (Bullish, Bearish, or Filtered).
🔹 PyraTime Dashboard (V8 HUD Standard) A specialized, monospace HUD positioned at the Bottom-Right for non-intrusive data monitoring:
CONTEXT: Real-time regime status (BULLISH | BEARISH | FILTERED).
EFFICIENCY: A percentage-based score of directional trend strength.
VOL RATIO: Real-time volatility tracking via precision ATR.
STATUS: Instant operational feedback (ACTIVE | FILTERED).
VTRADEVTRADE — это overlay-инструмент для графика, который объединяет сигнальные модули и контекст рынка в одном скрипте. Он создан для трейдеров, которым важны чистый график, наглядные подсказки и возможность быстро настроить отображение под свой стиль торговли.
Ключевые возможности
Два независимых блока сигналов:
VTRADE-1 — более избирательные сигналы (акцент на качество).
VTRADE-Pulse — более быстрые и реактивные сигналы (акцент на своевременность).
Наглядная визуализация:
Сигнальные вертикальные линии и метки на графике.
Гибкие переключатели отображения, чтобы оставлять только нужное.
Дополнительный контекст:
Bollinger Bands со встроенной подсветкой Squeeze (зоны потенциального расширения волатильности).
HVP (Volume Profile) для выделения ключевых объёмных уровней.
MA (до 4 линий) для ориентира по тренду.
Польза:
Быстрое чтение рынка: сигнал + контекст (волатильность/объём/тренд).
Меньше визуального шума за счёт гибких настроек.
Удобно для работы через TradingView Alerts.
Важно: скрипт публикуется как Invite-Only. Внутренняя методология является авторской и не раскрывается.
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ENG:
VTRADE is an overlay chart tool that combines signal modules and market context in a single script. It’s built for traders who value a clean chart, clear visual cues, and the ability to quickly tailor what’s displayed to their trading style.
Key features
Two independent signal blocks:
VTRADE-1 — more selective signals (focus on quality).
VTRADE-Pulse — faster, more reactive signals (focus on timing).
Clear visualization:
Signal vertical lines and labels on the chart.
Flexible display toggles so you can keep only what you need.
Additional context:
Bollinger Bands with built-in Squeeze highlighting (areas of potential volatility expansion).
HVP (Volume Profile) to highlight key volume-based levels.
MA (up to 4 lines) for trend guidance.
Benefits:
Faster market reading: signal + context (volatility/volume/trend).
Less visual noise thanks to flexible settings.
Convenient for use with TradingView Alerts.
Important: the script is published as Invite-Only. The internal methodology is proprietary and is not disclosed.
PSP - Last Month H/L Breakout + Max Trades/Month + Info Table## 📌 How to Use – PSP Last Month H/L Breakout
### 🔹 What This Indicator Does (User Perspective)
This indicator highlights **high-probability monthly breakout zones** using the **previous month’s High & Low** and triggers **limited, disciplined trades** only when a **fresh breakout happens**.
It is designed to **catch big moves early** and avoid over-trading.
## ⏱ Best Time Frame
* **Primary:** **15 Min / 30 Min / 1 Hour**
* **Confirmation:** Daily view for bias
* Breakout is **validated on Day candle** against last month’s High/Low
👉 Works on **all timeframes**, but **15m–1H** gives the **fastest & safest execution**
---
## 📈 Best Instruments (Highly Recommended)
### ✅ Stocks (Primary Use)
* Best for **cash stocks**
* Ideal for:
* Monthly breakout stocks
* News / results driven moves
* Strong trending stocks
### ✅ FnO (Advanced Traders)
* **Index & Stock Futures**
* **Options (only ATM / ITM, quick execution)**
⚠️ Avoid illiquid stocks and sideways markets
---
## 🎯 Entry Rules (Simple)
### BUY
* Take **BUY** only when **BUY label appears**
* Enter **immediately on breakout candle close**
### SELL
* Take **SELL** only when **SELL label appears**
* Enter **immediately on breakdown candle close**
🔒 Signals are **limited per month** to avoid over-trading and false entries
## 🛑 Stop Loss
* **No fixed SL**
* Exit only when:
* Target is achieved
* Opposite signal appears
* You manually trail based on price action
(Designed for **high conviction breakout trades**)
## 💰 Target & Return Expectation
### 📊 Stocks
* **3% – 8% move** commonly seen after valid breakout
* Swing holding: **2–10 trading days**
### 📊 FnO (Intraday / Positional)
* **5% or more daily return** possible with proper execution
* Works best in **volatile & trending sessions**
> Focus is on **quality trades, not quantity**
---
## 📉 Risk Control Feature
* **Max Trades Per Month**
* Default: **1 BUY + 1 SELL**
* Helps avoid revenge trading
* Keeps drawdown extremely low
Highly recommended to **keep limits ON**
## 📊 Info Table (Top Right)
Gives quick reference for:
* Active timeframe
* Breakout rule
* Target expectation
* Trade frequency
* Instrument focus
(No decision-making required — only execution)
## 🧠 Best Market Conditions
✅ Trending market
✅ Strong momentum stocks
✅ Post-consolidation breakouts
❌ Avoid range-bound & low-volume days
## ⭐ Accuracy & Edge
* **98%+ accuracy** in strong breakout conditions
* Misses small moves intentionally
* Captures **only high-impact monthly moves**
## 🔔 Alerts
* Enable **Buy & Sell alerts**
* Works perfectly for **hands-free trading**
### 📌 Final Advice
> This is a **discipline-based breakout tool**.
> Follow signals exactly, respect monthly limits, and let the **big move pay you**.
PSP PEMA Indicator Only Sell 45MTF-7% TargetPSP PEMA Indicator – Only SELL (45MTF | Early Short Capture)
🔥 Purpose of This Indicator
PSP PEMA Indicator is a professional-grade intraday SELL-only tool, specially designed to capture EARLY SHORT SELL opportunities in NIFTY before major intraday reversals.
The highlight of this indicator is the “EARLY SELL” signal, which is crafted to catch premium decay moves in options and is ideal for same-day option selling or directional PUT buying.
⏱ Best Timeframe to Use
Primary Timeframe: 45 Minutes (Strictly recommended)
Can be observed on 15M for confirmation, but signals are optimized for 45MTF
📊 Best Instruments
✅ NIFTY Index (Highly Recommended)
Bank Nifty (with slightly higher risk)
FINNIFTY (experienced traders only)
👉 Works best on INDEX options, not recommended for stock options.
⭐ Most Powerful Signal: EARLY SELL
The EARLY SELL label appears near market tops, usually before sharp intraday falls.
How to Trade EARLY SELL (Options Focused)
Wait for “EARLY SELL” label on 45-minute chart
Execute trade on NEXT candle (do not chase)
Trade selection:
ATM / ITM PUT Buy
OR ATM CALL Sell (for option sellers)
Prefer same-day expiry or weekly options
🎯 Expected Target (Intraday)
Options Premium:
🔹 5% to 7% decay/move achievable the same day
Index Move:
🔹 Short-term downside impulse usually follows
⚠️ This indicator is designed to capture early momentum, not late breakdowns.
🛑 Stop Loss (Very Important)
Options Buy:
🔻 Premium SL = 25–30%
Option Sell:
🔻 Exit if next 45M candle closes above signal high
No averaging against signal ❌
🧠 When to AVOID Trading
First 15 minutes of market open
Low-volatility sideways days
Major news / event candles already expanded
📈 Trade Management Tips
Book partial profits early
Trail remaining position
One EARLY SELL per swing is enough — quality over quantity
⚠️ Disclaimer
This indicator is meant for educational and analytical purposes.
Markets involve risk. Use proper risk management and trade responsibly.
Alpha Hunter System [MTF + Risk Manager] by Amit NamdeoThis is a comprehensive, "Institutional-Grade" Trend Following System. It is designed not just to give signals, but to filter out bad trades, manage risk automatically, and help you exit at the right time.
Here is a breakdown of exactly how your script works:
1. The Core Engine (High/Low Channel)
The Foundation: Instead of a single line, the script creates a Channel using two Exponential Moving Averages (EMAs).
Green Line: 50 EMA calculated on the Highs of the candles.
Red Line: 50 EMA calculated on the Lows of the candles.
The Logic: This creates a "No-Trade Zone" in the middle.
BUY Signal: Generated when price forcefully breaks above the Green High band.
SELL Signal: Generated when price forcefully breaks below the Red Low band.
2. The "Smart Filters" (Safety Mechanisms)
To prevent false signals (whipsaws), the script checks three separate conditions before showing a Buy or Sell label:
A. Sensitivity Filter (ATR): The price must not just touch the line; it must break it by a specific margin (based on Volatility/ATR). This filters out small wicks.
B. Volume Filter: A breakout is ignored if the Volume is low. The script requires the breakout candle's volume to be higher than the recent average. This ensures "Smart Money" supports the move.
C. Sideways Filter (ADX): Uses the Average Directional Index (ADX). If the trend is weak (ADX < 20), the channel turns Gray and blocks all signals. This saves you from trading in choppy, flat markets.
D. Multi-Timeframe (MTF) Consensus: This is the "60% Rule." The script secretly checks the trend on the 5m, 15m, 1H, 4H, and Daily charts. It only allows a signal if the majority of these timeframes agree with the direction.
3. Automatic Risk Management
This feature automates the math that professional traders usually do in Excel:
Dynamic Stop Loss (SL):
On a Buy, the SL is set to the Red (Low) Band.
On a Sell, the SL is set to the Green (High) Band.
Why? This adapts the SL to the current market volatility.
Take Profit Targets (TP):
It calculates your Risk (Entry - SL).
TP1: 1.5x Risk.
TP2: 2.5x Risk.
TP3: 4.0x Risk.
Visuals: It draws these lines on the chart immediately when a signal appears, so you know exactly where to place your orders.
4. Trailing Stop (The Purple Line)
What it is: A dynamic Purple Line that appears behind the candles.
How it works: It acts like a "Chandelier Exit."
As price moves in your favor, the line moves up to lock in profit.
It never moves backward.
Exit Rule: If a candle closes across this purple line, the trend is likely over, and you should exit.
Live Label: A label follows the line showing the exact price (e.g., "Trail SL: 1950.2") so you can update your order easily.
5. Alerts & Dashboard
Dashboard (Top Right): A live status panel showing:
Current Trend (Bullish/Bearish/Sideways).
MTF Consensus (Are the other timeframes agreeing?).
Volume Status (Pass/Fail).
Alerts: You can set phone/desktop notifications for:
Entries: Buy/Sell.
Targets: TP1, TP2, TP3 Hit.
Safety: Trailing Stop Hit (Exit trade).
Summary of Visual Colors
🟢 Green Channel: Bullish Trend (Look for Buys).
🔴 Red Channel: Bearish Trend (Look for Sells).
⚪ Gray Channel: Sideways Market (Do Not Trade).
🟣 Purple Line: Your Trailing Stop Loss.
LuTheProphecy -- Explicit RS/SP JudgerJudge to use this indicator with glance define Support/Resistance zone. Each line and Number have their own strenght point. The Strenght score wil decrease as bellow define :
(Labels on top giving best reliable score): M > W > A > B > C > D > E > F
On each lable the reliability will be: A3 > A2 > A1
MAWHOOB PROMAWHOOB PRO INDICATOR
Professional Analysis & Trading System
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🎯 OVERVIEW
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MAWHOOB PRO is a professional, all-in-one Pine Script® indicator designed for traders seeking institutional-grade market analysis combined with systematic, rule-based trading execution. It seamlessly overlays intelligent Higher Timeframe structures, advanced Volume Profile analysis, and Automatic Fibonacci levels — directly on your chart.
Beyond powerful market visualization, MAWHOOB PRO integrates a fully-featured, complete, and backtestable trading system with instant signals, advanced risk management, and real-time alerts.
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⚡ CORE CAPABILITIES
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Higher Timeframe Structure – Multi-timeframe support (15m to 12M).
Advanced Volume Profile – POC, Value Area, with Moving Averages.
Automatic Fibonacci Levels – Dynamic retracements and extensions.
Multi-Strategy System – 4 specialized algorithms for different market conditions.
Smart Trading Signals – Entry signals, exit management with real‑time updates.
Professional Position Sizing – Advanced risk calculations with leverage support.
Multi-TP Management – 3 configurable take profits with fractional position scaling.
Advanced Risk Management – Multiple SL types, trailing stop, and risk limiters.
Real-Time Alerts – Instant notifications for all trading events and signals.
Performance Analytics – Comprehensive backtesting with detailed trade statistics.
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💠 SECTION 1: PROFESSIONAL MARKET ANALYSIS
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🕒 Higher Timeframe Structure
MAWHOOB PRO's HTF system goes beyond simple candle plotting. It displays creative higher timeframe structures (e.g., 15m, 1H, Daily, etc.) to identify dominant trends and key liquidity levels without switching your current chart.
❖ Key Features:
Multi-timeframe analysis across 18 different timeframes.
Creative OHLC box visualization with intelligent projection.
Smart "Super Bars" detection for high-probability setups.
Customizable boxes with professional styling options.
Dual visualization modes (HTF_End projection or Bars_Offset).
Performance-optimized rendering with intelligent cleanup system.
📊 Advanced Volume Profile
Understanding where institutional volume concentrates is critical. MAWHOOB PRO's Volume Profile system automatically identifies key levels using proprietary algorithms — giving you the same edge professional traders use to spot accumulation and distribution zones.
❖ Key Features:
Automatic Point of Control (POC) detection and real-time updates.
Dynamic Value Area (VAH/VAL) calculations with configurable sensitivity.
Multiple volume analysis modes (Total, Bullish, Bearish directional filtering).
Customizable row resolution for precision analysis.
Histogram Display: Detailed volume distribution visualization.
Box Display: Clean POC representation for minimal chart clutter.
Intelligent Volume Profile Moving Averages for trend confirmation.
Advanced POC Bands for mean-reversion and confluence identification.
Real-time updates with optional confirmed-only display mode.
Lite Mode optimization for resource-constrained environments.
📐 Automatic Fibonacci Levels
Manual Fibonacci drawing is time-consuming and subjective. MAWHOOB PRO automatically calculates and displays Fibonacci levels using intelligent swing detection algorithms — eliminating manual work while ensuring consistency. Each level is fully customizable with professional styling.
❖ Key Features:
Intelligent bullish/bearish swing detection.
Comprehensive retracement levels (0% to 100%).
Extended projection levels for target identification (113% to 423%).
Flexible display modes (retracements only, extensions only, or combined).
Customizable lines with professional styling (solid, dashed, dotted).
Dynamic label positioning and text customization.
Single color mode or multi-color differentiation.
Right-extension capability for forward projections.
Automatic level adjustment based on market structure.
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💠 SECTION 2: PROFESSIONAL TRADING SYSTEM
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📈 Multi-Strategy Signal Generation
Markets don't stay in one condition forever. The ability to adapt your strategy to current market conditions is what separates consistently profitable traders from the rest. MAWHOOB PRO provides four proprietary strategies, each independently optimized for specific market environments:
HTF Structure Strategy
Volume Profile POC Strategy
POC Moving Average Strategy
Value Area Moving Average Strategy
💡 Advanced Entry Management
Professional traders don't use one-size-fits-all entry execution. MAWHOOB PRO provides intelligent entry management with multiple execution types and sophisticated validation:
Entry Types: Immediate market execution or intelligent limit order simulation.
Direction Control: Long-only, short-only, or bidirectional trading.
Smart Filters: Multi-layer validation system maximizing signal quality.
💰 Professional Position Management
Execute trades with institutional-grade position sizing and risk control:
Flexible Sizing Options – Choose percentage-based (% of capital) or fixed USD per trade.
Leverage Support – Scale exposure from 1× to 100× for any market condition.
Fractional Position Scaling – Close portions at TP1, TP2, TP3 independently.
🎯 Advanced Take Profit System
Exiting positions at the right levels separates winners from break-even traders. MAWHOOB PRO provides sophisticated TP management:
Three Take Profit System: Configurable position scaling across three profit targets.
Profit Modes: Custom calculation methods and risk-reward based targeting.
Intelligent Optimization: Adaptive profit placement for optimal risk/reward ratios.
⛔️ Comprehensive Stop Loss System
Proper stop loss placement is essential for consistent trading. MAWHOOB PRO provides multiple intelligent stop loss methods:
Four Stop Loss Types: Range-based, ATR-based, percentage-based, and adaptive algorithms.
Risk Limiter – Automatic SL tightening to prevent extensive losses from gap moves:
ATR-based limits for market-responsive protection.
Percentage-based limits for consistent risk caps.
Minimum Distance Validation – Adaptive stop placement to prevent quick stops:
Correct-side validation (SL always on opposite side of entry).
Realistic tick-size constraints.
Smart adaption to market volatility.
🛡️ Dynamic Trailing System
Maximize profit potential while protecting capital:
Break Even Mode: Intelligent break-even activation with buffer protection.
Move Target Mode: Progressive trailing using advanced profit protection algorithms.
Real-time visual updates showing current TS status.
Tolerance percentage to prevent being stopped out by noise.
State-aware activation (only after partial profit taking).
Multiple exit types tracked separately (TP hits vs. TS exits).
🔔 Smart Alert System
Stay informed of every important trade event with instant notifications:
Entry Alerts – Instant notification when long/short signals.
Exit Alerts– Individual notifications for each exit event: (TP1/TP2/TP3 hits, Stop Loss trigger, Break Even protection).
Trade Summary – Comprehensive recap with duration, exit type, and P&L.
Frequency-controlled to prevent notification spam.
Contextual information (Symbol, Trade ID, Price, Direction).
Real-time account balance updates.
Professional formatting for quick information scanning.
📊 Professional Performance Analytics
MAWHOOB PRO's backtesting system provides institutional-quality performance analytics and comprehensive statistics:
Real-time statistics updates.
Total trades executed in period.
Win rate analysis (separate Pure SL vs. Partial SL tracking).
Trades by direction (Long vs. Short breakdown).
TP1, TP2, TP3 hit counts and profitability.
Direct stop loss vs. partial stop loss separation.
Trailing stop protection count.
Exit type distribution analysis.
Gross profit from all exits.
Leverage-adjusted returns.
Win/Loss percentage breakdown.
Total net PnL (including fees).
Fee impact analysis.
Trade duration tracking per trade.
Average hold time by exit type.
Historical time-based performance patterns.
Visual statistics table with custom positioning.
🔍 Backtesting & Validation
Comprehensive period-based backtesting for rigorous strategy validation:
Custom date range selection (Start and End dates).
Period-based filtering for specific market conditions.
Automatic trade pruning outside selected periods.
Multiple strategy comparison capability.
Optional display of all historical trades.
Entry and exit points clearly marked.
Entry/exit labels with detailed information.
Visual price action context preservation.
Trade-by-trade P&L tracking.
👁️🗨️ Real-Time Trade Monitoring
Monitor your active positions with professional visual displays:
Real-time price level indicators for Entry, TPs, and SL.
Live update on position status as price moves.
Visual indicators showing which TPs have been executed.
Trailing stop level visualization with current status.
Customizable label positioning (Left, Right, Center).
Multiple label size options (Tiny, Small, Normal).
Color-coded by trade direction and exit type.
Professional formatting with essential information.
Toggle on/off for chart cleanliness.
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🔍 WHO CAN USE MAWHOOB PRO ?
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✔️ MAWHOOB PRO Is Designed For Traders Who:
Require Professional Tools – Need institutional-grade analysis and execution.
Seek Systematic Trading – Replace emotional decisions with rule-based processes.
Value Strategy Validation – Backtest thoroughly before risking capital.
Demand Precision – Need reliable signals with comprehensive monitoring.
Trade Actively – Benefit from real-time alerts and position management.
Manage Risk Professionally – Apply mathematical position sizing and stop loss logic.
✔️ Compatible Trading Environments:
Forex markets (Major, Minor, Exotic pairs).
Stock markets (with appropriate timeframes).
Cryptocurrency markets (Bitcoin, Altcoins).
Futures markets (with leverage support).
Day trading timeframes (1m to 4H).
Swing trading timeframes (4H to Weekly).
Position trading timeframes (Daily to Monthly).
✔️ Supported Trading Styles:
Discretionary trading with professional tools.
Semi-automated trading with smart signals.
Systematic strategy validation and backtesting.
Multiple market condition adaptation.
Bidirectional trading (Long/Short).
Directional bias trading (Long-only or Short-only).
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📋 QUICK START GUIDE
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1️⃣ Analysis Tools Configuration (10-15 minutes)
Add MAWHOOB PRO indicator to your chart.
Select your desired Higher Timeframe (HTF).
Customize visual elements to match your preferences.
Use displayed levels as confluence zones for manual trading.
Monitor Volume Profile and Fibonacci levels for trade setup identification.
2️⃣ Trading System Configuration (15-20 minutes)
Enable Trading System in settings.
Select Strategy Type (HTF_Range, VP_POC, POC_MA, or VA_MA).
Choose Trading Type (Spot or Futures).
Configure Position Sizing (Percentage or Fixed USD).
Set Account Capital and leverage (if applicable).
Configure Take Profits (TP1/TP2/TP3 with fractions).
Select Stop Loss Type and parameters.
Enable Trailing Stop (optional, recommended).
Set backtesting date range.
Enable Alerts for signal notifications.
Run historical backtest to validate strategy.
Demo test minimum 30 days before live deployment.
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🛑 TECHNICAL DISCLOSURES & IMPORTANT INFORMATION
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📌 Data Accuracy & Signal Quality
Real-time calculations for developing structures may adjust until HTF bar completion.
Historical signals maintain integrity and non-repaint on confirmed bars.
Signal generation uses only confirmed (non-repainting) data for backtesting validity.
Volume Profile updates in real-time until HTF period closure.
Fibonacci levels automatically recalculate on new swing identification.
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⚠️ RISK DISCLOSURE & DISCLAIMERS
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⚙️ MAWHOOB PRO Is Designed For:
Professional market analysis and structure identification.
Systematic strategy backtesting and validation.
Educational purposes for trading strategy development.
Real-time monitoring of active positions.
NOT for providing financial advice or guaranteed outcomes.
🛑 Important Disclaimers
Past performance does NOT guarantee future results.
Backtesting results are simulated and may differ from live trading.
Real trading includes slippage, requotes, and execution delays not simulated.
All trading involves substantial risk of loss.
Test all strategies in simulated environments before live implementation.
Never risk more than you can afford to lose.
Leverage magnifies both profits and losses exponentially.
📋 Testing Protocol Recommendation
Backtest Phase – Run 6-12 months of historical data minimum.
Demo Testing Phase – Live practice for minimum 30 days without real capital.
Performance Tracking – Document all demo trades and results.
Risk Assessment – Verify acceptable drawdown and profit ratios.
Live Deployment – Start with conservative position sizing.
Ongoing Monitoring – Track live performance vs. backtest results.
🔐 Disclaimer of Liability
By using MAWHOOB PRO, you acknowledge and accept:
All trading risks and potential loss of capital.
That past performance does not guarantee future results.
That you are solely responsible for all trading decisions.
That you have tested the system appropriately before live trading.
That losses are possible regardless of system quality.
That market conditions change and strategies may underperform.
Full responsibility for all financial outcomes.
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🏆 EXCLUSIVE ACCESS (INVITE-ONLY)
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MAWHOOB PRO is an invite-only indicator reserved for serious traders committed to professional execution and risk management.
🔒 Why Invite-Only ?
Quality Assurance – Ensures users understand and respect proper risk management.
Strategy Integrity – Protects strategy methodology from mass distribution.
Professional Community – Maintains focus on serious, disciplined traders.
Dedicated Support – Provides personalized assistance to qualified users.
Continuous Improvement – Collects quality feedback for enhancement.
✔️ Access Requirements
Eligible users typically demonstrate:
Understanding of technical analysis fundamentals.
Experience with systematic trading or backtesting.
Commitment to proper risk management practices.
Intention to demo test before live deployment.
Professional approach to trading (not gambling).
Respect for intellectual property and terms of use.
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📚 DOCUMENTATION & SUPPORT
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📖 Built-in Guidance & Support
Comprehensive tooltips for every indicator setting (hover ⓘ for instant help).
Context-sensitive assistance for advanced parameters (explaining the "why").
Strategic recommendations adapted to different market conditions.
Detailed inline documentation for configuration options.
Invite-only user community for shared strategies and feedback.
💬 Professional Support Includes:
Strategy optimization consultation.
Configuration assistance for your specific market.
Performance review of backtest results.
Troubleshooting and technical support.
Updates and improvements to core algorithms.
🧪 Validation Protocol
Historical Backtest – Minimum 6-12 months recommended.
Demo Testing – Minimum 30 days without real capital.
Performance Review – Compare live results to backtest.
Ongoing Optimization – Adjust parameters based on results.
Risk Monitoring – Track PnL and account equity.
⚙️ Professional Trading Principles
Position sizing based on risk, not reward.
Stop loss placement before entry execution.
Take profit targets set with realistic expectations.
Risk-reward ratios of minimum 1:1.5 or better.
Account preservation over aggressive profit taking.
Consistency over home-run trades.
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🔄 UPDATES & CONTINUOUS DEVELOPMENT
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MAWHOOB PRO is a continuously evolving system. Development is guided by:
User feedback and real-world trading results.
Market condition changes and emerging opportunities.
Performance optimization and efficiency improvements.
Trading community insights and professional recommendations.
💬 Community Feedback Loop:
Your trading results shape future development:
Report strategies that work exceptionally well.
Suggest improvements based on your experience.
Identify market conditions requiring adaptation.
Help validate new features during beta testing.
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💡 MAWHOOB PRO – Where Professional Analysis Meets Systematic Execution
Created & Designed by @mawhoobx
📝 REMEMBER
The best indicator is the one combined with proper risk management, discipline, and a solid trading plan. MAWHOOB PRO is designed to assist your trading, not replace your judgment.
Trade Smart. Trade Safe. Trade Profitable.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview
The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements.
🟢 How It Works
The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level.
Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification:
getDelta() =>
close > open ? volume : close < open ? -volume : 0
When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar:
array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta())
float barDelta = 0.0
if array.size(deltaValues) > 0
for i = 0 to array.size(deltaValues) - 1
barDelta := barDelta + array.get(deltaValues, i)
This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations:
rawCVD = ta.cum(barDelta) // Cumulative sum from chart start
smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction
rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation
Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView.
🟢 Key Features
The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions.
1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals.
2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes.
3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings.
4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume.
5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels.
▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
QSS Confluence EngineQSS Confluence Engine - User Guide
1. System Overview
The QSS Confluence Engine is a sophisticated, multi-layered trading algorithm designed for TradingView (Pine Script v6). Unlike standard indicators that rely on a single data point (like RSI or MACD), QSS aggregates data from five distinct "Engines" to generate high-probability trade signals.
The core philosophy is Confluence: A trade signal is only valid when price structure, volume flow, statistical probability, and momentum cycles align.
2. The Five Core Engines
🔥 A. Signal Engine (The Backbone)
This is the primary trend detector. It determines the bias (Bullish/Bearish).
Modes:
OTT (Optimized Trend Tracker): Smoother, better for volatile assets (Crypto/Forex).
SuperTrend: Faster, better for trending stocks or scalping.
Function:
If this engine says "Bearish," the system ignores all Buy signals from other modules.
🏰 B. Liquidity Structure (Apex Logic)
Identifies "Structural" Support and Resistance based on market pivots.
Logic: Draws zones from significant Pivot Highs/Lows to the candle body (Wick-to-Body).
Usage: Acts as a filter. The system will block a Buy signal if price is currently smashing into a Supply (Red) Liquidity Zone.
🌊 C. Imbalance Engine (BigBeluga Logic)
Identifies "Momentum" Supply/Demand based on volume and candle sequences.
Logic: Detects aggressive institutional buying/selling (e.g., 3 consecutive green candles with rising volume).
Usage: Shows where "Smart Money" has previously entered. These zones are often more reactive than standard pivots.
📊 D. Statistical Engine (Zeiierman Logic)
Calculates the raw mathematical probability of price movement.
Logic: It tracks every single bar in history. If the last candle was Green, it calculates: "Historically, after a Green candle, how often did price move up another 0.5 ATR?"
Filter: If enabled, it blocks trades where the historical probability of success is < 50%.
🧠 E. Neural KDE (Kernel Density Estimation)
Estimates the probability of a market reversal using statistical density.
Logic: Uses Gaussian math to find "Overextended" states in the RSI.
Usage: Prints Arrow labels when a reversal is statistically likely.
3. Configuration Guide (Settings Menu)
Signal Engine
Strategy Engine: Choose OTT for most assets. Switch to SuperTrend if you want faster, tighter signals.
OTT %: Lower (e.g., 1.0) for scalping, Higher (e.g., 2.0) for swing trading.
Liquidity & Imbalance
Filter: Respect Liquidity Zones: Keep this ON. It prevents buying into resistance.
Show S/D Imbalances: Default is OFF to keep the chart clean. Turn ON to see exactly where institutional volume entered.
Statistical Probability
Show Probability Lines: Default is ON.
Green Line: The price target for a "Bullish" continuation.
Red Line: The price target for a "Bearish" reversal.
Label: Shows the exact % chance (e.g., Prob Up: 65%).
Quant Filters
Koncorde / Institutional Activity: Checks for volume patterns associated with large players.
ADX Filter: Ensures the market is actually trending (ADX > 20) before signaling.
Cycle Filter (STC): A momentum cycle oscillator. Keeps you out of trades when the cycle is exhausted.
4. How to Trade (The Strategy)
The Buy Signal (Long)
A BUY label appears only when ALL of the following occur simultaneously:
Trend: The Core Engine (OTT/SuperTrend) turns Green.
Structure: Price is NOT inside a Supply/Resistance zone.
Volume: Volume is above average (if Volume Filter is on).
Probability: Statistical probability of an Up move is > 50%.
Momentum: STC Cycle is moving up.
The Sell Signal (Short)
A SELL label appears when:
Trend: The Core Engine turns Red.
Structure: Price is NOT inside a Demand/Support zone.
Volume: Volume is below average (if Volume Filter is on).
Probability: Statistical probability of a Down move is > 50%.
Momentum: STC Cycle is moving down.
Risk Management (R:R)
The script automatically draws entry, stop-loss, and take-profit lines when a signal fires.
SL (Stop Loss): Placed at 2.0 x ATR (Average True Range).
TP 1/2/3: Placed at 2x, 4x, and 6x ATR.
Strategy: Close half your position at TP1 and move SL to Breakeven.
5. The Dashboard (HUD)
Located at the bottom right, the HUD gives you a comprehensive real-time health check of the asset.
Current Engine: Displays the active strategy mode (OTT or SuperTrend).
Current Session: Identifies the active market session (London, New York, Tokyo).
Trend Bias: The overall direction (Bullish/Bearish).
Zone Status: Tells you if you are currently blocked by a zone (e.g., LIQ SUPPLY means "Don't Buy, we are at resistance").
KDE Prob: Indicates if a market Top or Bottom is statistically likely based on neural density.
Math Probability: The raw % chance of the current move continuing based on historical analysis.
Inst. Activity: Shows if institutions are Accumulating (Buying) or Distributing (Selling).
Trend Strength: Uses ADX to classify the market as Ranging, Trending, or Parabolic.
Trend Pressure: Shows if momentum is Rising or Falling.
System Status: A vital debugger. It tells you exactly why a trade isn't firing (e.g., "Wait: Cycle", "Wait: Ribbon") or if it's "Scanning...".
Active Trade Data: When a trade is live, this section replaces "System Status" to show Entry Price, Stop Loss, and Take Profit levels
6. Troubleshooting
"No Signals Appearing": You likely have too many filters enabled. Try disabling the Koncorde or Liquidity Filter temporarily to see if signals appear. The stricter the confluence, the fewer (but higher quality) the signals.
"Chart is too messy": Go to settings and uncheck Show Liquidity Zones, Show Probability Lines, or Show KDE Arrows. The logic will still work in the background even if visuals are hidden.
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
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█ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
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█ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
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█ HOW IT WORKS
【Lorentzian Distance Calculation】
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = Σ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
【Feature Engineering】
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
【k-Nearest Neighbors Classification】
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
【Kernel Regression】
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
【Filters】
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
【Signal Interpretation】
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
【Trade Statistics Panel】
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
【Filter Recommendations】
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
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█ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
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█ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
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█ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- 💰 BIG CHANCE (90-100): Highest probability setups
- ⚡ SUPER (80-89): Very strong signals
- 🚀 POWER (70-79): Strong signals with HMA confluence
- 💪 STRONG (60-69): Standard quality signals
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█ HOW IT WORKS
【QQE Calculation】
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ± (ATR × QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
【HMA Calculation】
Hull Moving Average for trend confirmation:
HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n)
【Signal Generation】
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
【AI Scoring System】
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
【Reading Signals】
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
【MTF Feature】
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
【Alert Setup】
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
【Important Notes】
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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█ SETTINGS
⏱️ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
🎨 Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
🔧 QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
🔔 Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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█ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0
Volatility Trend Score [BackQuant]Volatility Trend Score
Overview
Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?”
It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable.
What it is measuring (the real goal)
This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on:
Persistence: does structure keep pushing in one direction bar after bar?
Stability: are pullbacks being absorbed without breaking the trailing structure?
Regime: is the market trending strongly enough to justify directional bias?
If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer.
Core idea
At its foundation, the indicator combines two parts:
A volatility-adjusted trailing level derived from ATR and a user-defined factor.
A rolling persistence score that compares the current trail to prior trail values over a configurable loop window.
The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality.
Inputs and what they actually control
Average True Range Period (calc_p)
Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive.
Factor (atr_factor)
Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes.
For Loop Start/End (start/end)
Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against.
Shorter ranges produce a faster, more responsive score.
Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained.
Long/Short Thresholds (thresL/thresS)
Convert a continuous score into regime thresholds.
Long threshold is a “trend quality requirement” for bullish bias.
Short threshold is used as a deterioration / breakdown trigger via crossunder logic.
Volatility-adjusted trailing structure
The trailing line is built from ATR bands around price:
up = close + ATR * factor
dn = close - ATR * factor
Then a trailing value is maintained with one-sided ratcheting behavior:
If dn rises above the previous trail, the trail steps up (ratchets upward).
If up drops below the previous trail, the trail steps down (ratchets downward).
This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends.
Why the trail is a better base than raw price
Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR:
A move is interpreted relative to current volatility, not in absolute points.
High-volatility chop is less likely to be misread as a trend.
Trend structure is normalized across assets and timeframes more reliably.
This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs.
Trend scoring logic
The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window:
If current trail > trail , add +1
If current trail < trail , add -1
This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out.
How to interpret the score
Think of the score as a “trend conviction meter”:
High positive values: bullish persistence, structure is advancing consistently.
Low positive values: bullish bias may exist, but trend quality is weak or unstable.
Near zero: indecision, range behavior, or frequent structure challenges.
Negative values: bearish dominance or sustained deterioration in structure.
The speed of score change matters too:
Fast expansion suggests a fresh regime gaining traction.
Slow grind suggests mature trend continuation.
Rapid compression often signals consolidation, exhaustion, or a transition phase.
Signals and regime transitions
This script uses two different styles of conditions (important detail):
Long condition: score > long threshold (state-based, persistent while true).
Short condition: crossunder(score, short threshold) (event-based trigger).
That means:
Long bias can remain active as long as score stays above the long threshold.
Short regime flips are triggered at the moment the score breaks down through the short threshold.
On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using:
Long shape when signal becomes 1 and previous signal was -1
Short shape when signal becomes -1 and previous signal was 1
This keeps signals clean and avoids spam, making it usable for alerts and regime tagging.
Visual presentation
The indicator is designed to work both as a panel oscillator and as an on-chart overlay:
Score plot (oscillator): color reflects active regime state.
Optional trail on price: volatility-scaled structure line on chart.
Optional threshold reference lines: clear regime boundaries.
Optional candle coloring: makes regime obvious without reading the panel.
Optional background shading: useful for quick scanning and backtesting visually.
You can use only the score, only the trail, or both together depending on your workflow.
Practical use cases
1) Trend filter for systems
Use the score as a regime gate:
Allow long entries only when score is above the long threshold.
Avoid longs when score compresses toward zero or loses the threshold.
Treat the short threshold break as “trend is no longer healthy.”
This often improves system expectancy by reducing exposure during low-conviction conditions.
2) Trend quality grading
Instead of treating all uptrends as equal:
Higher score = higher persistence, better continuation odds.
Score plateau = trend losing pressure, continuation becomes less reliable.
Score decay while price rises = trend is getting weaker under the hood.
This is useful for position sizing or deciding whether to add to winners.
3) Trade management and exits
Two complementary tools exist here:
Trail line can act as a dynamic stop reference or structure invalidation level.
Score behavior can be used to scale out when persistence fades (before a full flip).
Many traders use the trail for “hard structure” and the score for “soft deterioration.”
4) Breakout confirmation vs fakeouts
A breakout that immediately fails to build score is often low quality.
Healthy breakouts usually come with score expansion as structure advances.
Fakeouts often revert quickly, score fails to climb, and regime stays unstable.
Tuning guidelines
These are general behaviors you can expect when adjusting settings:
Higher ATR period and factor: slower regimes, fewer flips, cleaner structure.
Lower ATR period and factor: faster reaction, more sensitivity, more noise risk.
Longer loop range: score becomes more “confidence-based,” slower to change.
Shorter loop range: score becomes more “tactical,” faster but more jittery.
A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build.
Market behavior focus
Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to:
Stay out of low-quality chop where most indicators whipsaw.
Quantify when volatility is being expressed directionally (constructive trend).
Provide a clean regime framework for filtering, alignment, and management.
Summary
Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
