ML-Enhanced Multi-Indicator Composite Signal

27 sept.

🤖 ML-Enhanced Multi-Indicator Composite Signal
Revolutionary AI-Powered Trading Indicator with Adaptive Learning
Transform your trading with cutting-edge machine learning technology that automatically optimizes indicator weights based on real market performance!

🎯 What Makes This Indicator Special?
This isn't just another composite indicator. It's an intelligent trading system that learns from market data and continuously adapts to improve signal accuracy. Unlike static indicators with fixed weights, this AI-powered tool dynamically adjusts the importance of each technical indicator based on their actual prediction success rates.
⚡ Key Features
🤖 Adaptive Machine Learning Engine

Automatically tracks prediction accuracy for each indicator
Dynamically adjusts weights based on performance
Continuous learning and adaptation to market conditions
Configurable learning parameters for fine-tuning

📊 Multi-Indicator Fusion

SuperTrend: Trend direction and momentum
Moving Averages: Price trend confirmation (SMA/EMA/WMA/RMA)
VWAP: Volume-weighted price levels
Linear Regression: Mathematical trend analysis

🎯 Intelligent Signal Generation

Strong Buy/Buy/Sell/Strong Sell signals
Configurable threshold levels
Signal smoothing to reduce noise
Smart signal timing to avoid repetitive alerts

📈 Performance Analytics Dashboard

Real-time accuracy tracking for each indicator
Weight distribution visualization
ML vs. Equal weights comparison
Learning progress monitoring


🚀 How It Works
1. Data Collection Phase
The indicator continuously monitors the performance of each technical component, storing predictions and actual market outcomes.
2. Learning Phase
Using configurable learning periods (20-500 bars), the ML engine calculates accuracy rates for each indicator's predictions.
3. Weight Optimization
Based on performance data, the system automatically adjusts weights using a configurable learning rate, ensuring better-performing indicators have more influence.
4. Signal Generation
The optimized composite signal triggers buy/sell alerts when crossing predefined thresholds, with visual signals and background coloring.

⚙️ Customization Options
Machine Learning Parameters

Learning Period: 20-500 bars (default: 100)
Prediction Horizon: 1-20 bars (default: 5)
Learning Rate: 0.01-1.0 (default: 0.1)
Minimum Weight: Prevents any indicator from becoming irrelevant
Performance Smoothing: Reduces noise in accuracy calculations

Traditional Settings

SuperTrend: Period and multiplier adjustment
Moving Average: Type selection and length
VWAP: Source customization
Linear Regression: Length and source options

Signal Configuration

Threshold Levels: Customizable buy/sell trigger points
Signal Smoothing: Reduces false signals
Manual Override: Option to use fixed weights instead of ML


📱 Visual Features
Signal Line Display

Dynamic color coding based on signal strength
Threshold level lines for clear entry/exit points
Background coloring for quick market sentiment assessment

Performance Table

Real-time accuracy metrics for each indicator
Current weight distribution showing ML optimization
Performance comparison between ML and equal weights
Learning progress indicator

Signal Shapes

🚀 Strong Buy: Large green triangle with text
📈 Buy: Standard green triangle
📉 Sell: Standard red triangle
💥 Strong Sell: Large red triangle with text


🎓 Best Practices & Usage Tips
For Beginners

Start with default ML settings
Allow 100+ bars for proper learning
Focus on Strong Buy/Sell signals initially
Monitor the performance table to understand ML adaptation

For Advanced Traders

Adjust learning rate based on market volatility
Customize prediction horizon for your trading timeframe
Fine-tune threshold levels for your risk tolerance
Combine with additional confirmation indicators

Recommended Settings by Timeframe

Scalping (1m-5m): Learning Period: 50, Prediction Horizon: 3
Day Trading (15m-1h): Learning Period: 100, Prediction Horizon: 5
Swing Trading (4h-1D): Learning Period: 200, Prediction Horizon: 10


🔔 Alert System
Set up comprehensive alerts for:

Strong Buy/Sell signals with maximum consensus
Regular Buy/Sell signals for standard entries
Custom message templates with price and signal strength
Email, SMS, and webhook compatibility


⚠️ Important Notes

Learning Period: Allow sufficient data for ML optimization (minimum 50 bars recommended)
Market Conditions: Performance may vary during high volatility or trending vs. ranging markets
Backtesting: Test thoroughly on historical data before live trading
Risk Management: Always use proper position sizing and stop losses


🏆 Why Choose This Indicator?
✅ Adaptive Intelligence: Unlike static indicators, this tool evolves with market conditions
✅ Transparent Performance: See exactly how well each component is performing
✅ Comprehensive Analytics: Make informed decisions with detailed performance metrics
✅ Professional Grade: Developed by experienced traders for serious market participants
✅ Continuous Innovation: Regular updates and improvements based on user feedback

📊 Performance Tracking
The indicator provides unprecedented transparency into its decision-making process:

Individual indicator accuracy rates
Weight evolution over time
Improvement metrics vs. baseline
Learning curve visualization

Transform your trading with the power of adaptive machine learning. Let the market data guide your strategy optimization automatically!

Tags: Machine Learning, AI Trading, Composite Signal, Multi-Indicator, Adaptive Algorithm, Signal Generation, Trading Automation, Technical Analysis
Category: Trend Following, Oscillators, Signal Generators

30 sept.

Notes de version

# ML-Enhanced Multi-Indicator Composite Signal v2.2

## 🤖 Overview
This advanced indicator combines **Machine Learning** with traditional technical analysis to create an intelligent, adaptive trading system. It automatically learns from past performance and optimizes indicator weights in real-time, delivering more accurate buy and sell signals than static approaches.

## 🎯 Key Features

### Machine Learning Engine
- **🧠 Adaptive Weight Optimization**: Automatically adjusts indicator weights based on historical accuracy
- **📊 Performance Tracking**: Monitors each indicator's prediction success rate
- **🎓 Continuous Learning**: Adapts to changing market conditions over time
- **⚡ Dynamic Adjustment**: Real-time weight modification based on recent performance
- **✅ Fixed Synchronization**: Accurate prediction-result pairing for reliable backtesting (v2.0+)
- **🔒 Duplicate Prevention**: Ensures only one signal per directional change (v2.2)

### Technical Indicators Combined
1. **SuperTrend** - Trend-following with dynamic support/resistance
2. **Moving Average** (SMA/EMA/WMA/RMA) - Price trend direction
3. **VWAP** - Volume-weighted average price for institutional levels
4. **Linear Regression** - Mathematical trend projection

### Signal System
- **🚀 Strong Buy** - Maximum bullish consensus
- **📈 Buy** - Bullish consensus
- **📉 Sell** - Bearish consensus
- **💥 Strong Sell** - Maximum bearish consensus
- **Background Coloring** - Visual market state indication

### Performance Metrics Dashboard
The comprehensive table displays:
- Individual indicator signals and performance
- Current ML-optimized weights
- Overall accuracy vs. baseline (equal weights)
- Recent performance (last 20 predictions)
- Learning status and confidence levels
- Performance improvement statistics
- Real-time signal strength score

## ⚙️ Customization Options

### ML Parameters
- Learning Period (20-500 bars)
- Prediction Horizon (1-20 bars ahead)
- Learning Rate (speed of adaptation)
- Minimum Weight constraints
- Performance smoothing

### Manual Mode
Disable ML to use custom fixed weights for each indicator

### Display Settings
- Adjustable signal line and thresholds
- Customizable table position
- Signal strength visualization

## 📈 How It Works

1. **Data Collection**: Stores predictions from all 4 indicators
2. **Evaluation**: Compares predictions with actual price movement after specified horizon
3. **Learning**: Calculates accuracy for each indicator
4. **Optimization**: Adjusts weights to favor better-performing indicators
5. **Signal Generation**: Creates composite signal using optimized weights
6. **Adaptation**: Continuously refines based on new data

## 🔔 Alert Conditions

- Strong Buy Signal
- Buy Signal
- Sell Signal
- Strong Sell Signal
- Low Performance Warning (when accuracy drops below 45%)

## 📝 Version History

- **v2.2** (Sept 30, 2025): Fixed duplicate signal generation issue
- **v2.1** (Sept 30, 2025): Fixed recent performance calculation bug
- **v2.0** (Sept 30, 2025): Fixed array synchronization, improved ML logic, added confidence metrics
- **v1.2** (Sept 30, 2025): Fixed signal display bug in table
- **v1.1** (Sept 30, 2025): Corrected signal values and colors
- **v1.0** (Sept 26, 2025): Initial release

## ⚠️ Important Notes

- **Warm-up Period**: Requires minimum samples (default 20) before ML becomes fully active
- **Not Financial Advice**: This is an educational tool - always do your own research
- **Backtesting**: Performance metrics show historical accuracy, not guaranteed future results
- **Market Conditions**: Works best in trending markets; may underperform in choppy conditions

## 💡 Best Practices

1. Allow sufficient warm-up period for ML training
2. Monitor the performance dashboard regularly
3. Adjust prediction horizon based on your trading timeframe
4. Use in conjunction with other analysis methods
5. Test parameters on historical data before live trading

## 🎓 Educational Purpose

This indicator demonstrates practical machine learning implementation in technical analysis, showing how algorithms can adapt and improve over time based on market feedback.

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**Author**: Ravindra Elicherla
**Twitter**: @Ravindra_PE

*For best results, understand both the ML concepts and the underlying technical indicators. Happy trading! 🚀*

30 sept.

Notes de version

Here's a comprehensive TradingView description for your indicator:

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# 🤖 ML-Enhanced Multi-Indicator Composite Signal v2.3

## Overview
An advanced trading indicator that combines multiple technical indicators (SuperTrend, Moving Average, VWAP, Linear Regression) with machine learning to automatically optimize indicator weights based on historical performance. The system continuously learns which indicators are most accurate for the current market conditions and adjusts their influence accordingly.

## 🌟 Key Features

**Machine Learning Engine**
- ✅ Adaptive weight optimization based on prediction accuracy
- ✅ Tracks each indicator's success rate over time
- ✅ Dynamic weight adjustment with configurable learning rate
- ✅ Confidence metrics and performance tracking
- ✅ Comparison against equal-weight baseline
- ✅ Recent performance monitoring (last 20 predictions)

**Technical Indicators Combined**
- SuperTrend - Trend direction and reversals
- Moving Average (SMA/EMA/WMA/RMA) - Price momentum
- VWAP - Volume-weighted average price
- Linear Regression - Trend slope analysis

**Signal Generation**
- 🚀 Strong Buy - Maximum bullish consensus
- 📈 Buy - Bullish consensus
- 📉 Sell - Bearish consensus
- 💥 Strong Sell - Maximum bearish consensus

**Version 2.3 Improvements**
- Fixed array synchronization for accurate backtesting
- Improved prediction-result pairing logic
- Eliminated duplicate signal generation
- Added Tiny/Small/Detailed table size options
- Enhanced performance calculation accuracy

## 📊 How It Works

**Learning Process:**
1. Each indicator makes predictions about future price direction
2. After the prediction horizon period, actual results are compared to predictions
3. Accuracy scores are calculated for each indicator
4. Weights are automatically adjusted to favor better-performing indicators
5. Process repeats continuously, adapting to changing market conditions

**Prediction Horizon:** Default 5 bars ahead (customizable 1-20)
**Learning Period:** Default 100 bars (customizable 20-500)
**Minimum Samples:** 20 predictions before ML weights fully activate

## ⚙️ Settings

**Machine Learning Parameters:**
- Enable/Disable ML (manual weights when disabled)
- Learning Period - number of predictions to analyze
- Prediction Horizon - bars ahead to predict
- Learning Rate - speed of weight adaptation (0.01-1.0)
- Minimum Weight - prevents any indicator from being ignored
- Performance Smoothing - EMA smoothing for accuracy scores

**Indicator Parameters:**
- SuperTrend: Period (10) & Multiplier (3.0)
- Moving Average: Type & Length (20)
- VWAP Source (HLC3)
- Linear Regression Length (14)

**Signal Thresholds:**
- Strong Buy: 0.75 (composite signal must exceed this)
- Buy: 0.60
- Sell: 0.40
- Strong Sell: 0.25

**Manual Weights:**
Used when ML is disabled - set custom weights for each indicator

## 🎨 Display Options

**Table Sizes:**
- **Tiny:** Indicators and signals only (2 columns)
- **Small:** Essential metrics with weights and accuracy (5 columns, 7 rows)
- **Detailed:** Complete analytics with improvement tracking (5 columns, 12 rows)

**Visual Elements:**
- Composite signal line with dynamic coloring
- Background coloring for current zone
- Signal shapes with emojis
- Threshold reference lines
- ML performance table

## 🔔 Alerts Available
- Strong Buy Signal
- Buy Signal
- Sell Signal
- Strong Sell Signal
- Low Performance Warning (accuracy < 45%)

## 💡 Best Practices

1. **Warmup Period:** Allow 20+ predictions before relying on ML weights (watch for "WARMING UP" indicator)

2. **Parameter Tuning:**
- Shorter prediction horizon (3-5 bars) for scalping
- Longer horizon (10-20 bars) for swing trading
- Higher learning rate (0.2-0.5) for faster adaptation
- Lower learning rate (0.05-0.1) for stability

3. **Performance Monitoring:**
- Check "Recent" column for current accuracy
- Compare ML Optimized vs Equal Weight baseline
- Watch for performance warnings

4. **Signal Interpretation:**
- Signals only fire on directional changes (no duplicates)
- Background color shows current market bias
- Signal strength indicates conviction level

## 📈 Use Cases
- Trend following with adaptive weight optimization
- Multi-timeframe analysis
- Combining with your existing strategy
- Automated trading systems (via alerts)
- Backtesting different market conditions

## ⚠️ Disclaimer
This indicator is for educational purposes. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.

---

**Author:** Ravindra Elicherla ([@Ravindra_PE](x.com/Ravindra_PE))

**Version History:**
- v2.3 (Sep 30, 2025): Table size options
- v2.2 (Sep 30, 2025): Fixed duplicate signals
- v2.1 (Sep 30, 2025): Fixed recent performance calculation
- v2.0 (Sep 30, 2025): Array synchronization & confidence metrics
- v1.0 (Sep 26, 2025): Initial release

---

*Questions or suggestions? Find me on Twitter [@Ravindra_PE](x.com/Ravindra_PE)*

3 oct.

Notes de version

# ML-Enhanced Multi-Indicator Composite Signal v2.4

## Overview
Machine learning-powered trading indicator combining SuperTrend, Moving Averages, VWAP, and Linear Regression with adaptive weight optimization based on historical accuracy.

## Key Features
- **Adaptive Weight Learning**: Automatically optimizes indicator weights based on prediction accuracy
- **4-Level Signals**: Strong Buy, Buy, Sell, Strong Sell with duplicate prevention
- **Weight Color Coding (NEW v2.4)**: Green (≥25% - outperforming) | Red (<25% - underperforming)
- **Performance Tracking**: Overall accuracy, recent performance, ML improvement metrics
- **Three Table Sizes**: Tiny (minimal), Small (compact), Detailed (full metrics)

## How to Use

### Quick Start
1. Add indicator to chart (ML enabled by default)
2. Wait for "TRAINED" status (minimum 20 samples)
3. Follow signals: Strong Buy, Buy, Sell, Strong Sell
4. Monitor weight colors to see which indicators ML trusts

### Signal Interpretation
- **Strong Buy**: Maximum bullish consensus
- **Buy**: Bullish consensus
- **Sell**: Bearish consensus
- **Strong Sell**: Maximum bearish consensus

### Weight Colors
- **Green**: ML increasing trust (performing well)
- **Red**: ML decreasing trust (performing poorly)

## Key Parameters

### Machine Learning
- **Learning Period**: Predictions to analyze (20-500 bars)
- **Prediction Horizon**: Bars ahead to predict (1-20)
- **Learning Rate**: Adaptation speed (0.01-1.0)
- **Minimum Samples**: Required before trusting ML (10-100)

### Indicators
- **SuperTrend**: Period and multiplier
- **Moving Average**: Type (SMA/EMA/WMA/RMA) and length
- **VWAP**: Volume-weighted average price
- **Linear Regression**: Trend direction from slope

### Signal Thresholds
Strong Buy: 0.75 | Buy: 0.60 | Sell: 0.40 | Strong Sell: 0.25

## Performance Metrics
- **Overall Accuracy**: Smoothed prediction accuracy over learning period
- **Recent Performance**: Last 20 predictions (current market fit)
- **ML Weighted**: Composite accuracy with optimized weights
- **Equal Weights Baseline**: Accuracy if all indicators at 25%
- **Improvement**: ML optimization vs. equal weights
- **Confidence**: Reliability based on sample size

## Alerts Available
- ML Strong Buy/Buy/Sell/Strong Sell
- ML Performance Warning (accuracy < 45%)

## Best Practices
- Start with default settings
- Allow 100+ bars for training
- Monitor Recent Performance for market fit
- Adjust prediction horizon for your timeframe
- Use Manual Mode to test fixed weights or if ML underperforms

## Warning Signs
- LOW ACCURACY: Adjust parameters or wait for better conditions
- All weights near minimum: Market ranging or highly volatile
- Large performance gaps: One indicator dominating

## Technical Notes
- Supervised learning with prediction-result pairing
- Prevents look-ahead bias for accurate backtesting
- Weights adapt proportionally to indicator accuracy
- Minimum weight floor prevents complete exclusion

## Risk Disclaimer
Educational purposes only. Not financial advice. Past performance doesn't guarantee future results. Trading involves substantial risk. Use proper risk management.

## Version History
- v2.4 (Oct 2025): Weight column color coding
- v2.3 (Sep 2025): Table size options
- v2.2 (Sep 2025): Fixed duplicate signals
- v2.0 (Sep 2025): Fixed synchronization, improved ML
- v1.0 (Sep 2025): Initial release

**Author**: Ravindra Elicherla | Twitter: @Ravindra_PE

5 oct.

Notes de version

ML-Enhanced Multi-Indicator Composite Signal v2.5
Author: Ravindra Elicherla | Twitter: @ravindra_pe
Disclaimer
Educational purposes only. Past performance doesn't guarantee future results. ML optimizes historical data and may not predict future conditions. Always use proper risk management.

Overview
Combines SuperTrend, Moving Average, VWAP, and Linear Regression using machine learning to automatically optimize indicator weights based on historical prediction accuracy. The system learns which indicators work best for your market and adjusts their influence dynamically.
Key Features

Adaptive Weight Learning: Automatically adjusts weights based on performance
Duplicate Signal Prevention: Only fires on directional changes
Customizable Display: Tiny/Small/Detailed tables, Small/Medium/Large signals
Color-Coded Weights: Green (≥25%), Red (<25%)
Performance Tracking: Overall and recent accuracy per indicator

How It Works

Each indicator predicts price direction
After N bars, system checks prediction accuracy
Better performers get higher weights
Composite signal generates buy/sell alerts

Signal Thresholds (default):

Strong Buy: ≥75%
Buy: ≥60%
Sell: ≤40%
Strong Sell: ≤25%

Critical Parameters
Machine Learning

Prediction Horizon (default: 5): Bars ahead to predict - adjust this first if accuracy is low
Learning Period (default: 100): Sample size for calculations
Learning Rate (default: 0.1): Adaptation speed

Indicators

SuperTrend: Period 10, Multiplier 3.0
MA: EMA, Length 20
VWAP: Source hlc3
Linear Regression: Length 14

Display

Table Size: Tiny (minimal), Small (compact), Detailed (full metrics)
Signal Size: Small/Medium/Large triangles

Understanding Performance Metrics
Table Columns:

SIGNAL: Current indicator direction (Bull/Bear)
WEIGHT: Current influence % (color-coded)
OVERALL: Lifetime prediction accuracy
RECENT: Last 20 predictions accuracy
ML WEIGHTED: Optimized composite accuracy
EQUAL WT: 25% baseline comparison
Evaluated: Total predictions analyzed

Key Numbers:

Samples X/100: Progress toward full learning period
Training Status: ⏳ Warming up or ✅ Trained
Improvement: Performance gain vs equal weights

Critical Warnings
If accuracy <50%: Your indicators are worse than random chance. This means:

Wrong asset/timeframe combination
Indicators don't suit current market regime
Need different prediction horizon
Do not trade on these signals

Low Recent Accuracy (e.g., 10-25%): Indicators failing in current conditions - market regime may have changed.
High Evaluated Count + Low Accuracy: Not a data problem - indicators genuinely don't predict this market.
Quick Troubleshooting

Try different prediction horizons: 3, 10, or 20 bars
Switch timeframes: 5min → 15min → 1hr
Check market type: Trend indicators fail in ranging markets
Wait for training: Need 20+ samples minimum
Consider different assets: These indicators may not suit your instrument

Best Practices

Wait for "TRAINED" status before trading
Aim for >50% accuracy minimum (>55% preferred)
Monitor recent accuracy for current effectiveness
All weights at minimum = no clear winner, consider new indicators
Red status warning = review setup immediately

Alerts Available

ML Strong Buy/Buy/Sell/Strong Sell
Performance Warning (accuracy <45%)

Version History

v2.5 (October 5, 2025): Added customizable signal sizes (Small/Medium/Large)
v2.4 (October 3, 2025): Added conditional weight coloring (Pastel Red/Green)
v2.3 (September 30, 2025): Added Tiny/Small/Detailed table size options
v2.2 (September 30, 2025): Fixed duplicate signal generation issue
v2.1 (September 30, 2025): Fixed recent performance calculation bug
v2.0 (September 30, 2025): Fixed array synchronization, improved ML logic, added confidence metrics
v1.2 (September 30, 2025): Fixed signal display bug in table
v1.1 (September 30, 2025): Corrected signal values and color in the table
v1.0 (September 26, 2025): Initial release

9 oct.

Notes de version

🤖 ML-Enhanced Multi-Indicator Composite Signal with CPR
Overview
An adaptive trading indicator combining 5 technical tools with machine learning to generate optimized buy/sell signals. The system automatically learns from performance and adjusts indicator weights for maximum accuracy in current market conditions.
Technical Components
5 Indicators Combined:
SuperTrend | Moving Average | VWAP | Linear Regression | Daily CPR (Support/Resistance)
Signal Types:
🚀 Strong Buy | 📈 Buy | 📉 Sell | 💥 Strong Sell
Key Features
Intelligent Optimization

Auto-tracks each indicator's prediction accuracy
Dynamic weight adjustment based on performance
Learns from overall + recent market behavior
Configurable learning parameters

Visual Dashboard (3 sizes: Tiny/Small/Detailed)

Current signals & optimized weights (color-coded)
Accuracy percentages & performance metrics
Training status & confidence levels

Flexible Configuration

ML Controls: Learning rate, period, smoothing, sample size
CPR Options: Daily/Weekly, include/exclude from calculation
Manual Mode: Traditional fixed weights available
Customizable thresholds and signal sizes

Smart Alerts
Pre-configured for all signal types + low accuracy warnings
How It Works
Indicators generate signals → System tracks prediction accuracy → Better performers get higher weight → Composite signal triggers alerts → Continuous adaptation to market changes
Best For
✅ Trend following | Swing trading | Multi-timeframe analysis | High-probability setups | Risk management
Quick Start
Beginners: Use defaults with ML enabled, set table to "Detailed"
Advanced: Adjust learning rate, customize thresholds, experiment with manual vs ML

⚠️ DISCLAIMER - READ BEFORE USE
RISK WARNING: Trading involves substantial risk of loss. Past performance ≠ future results. This indicator does NOT guarantee profits.
NOT FINANCIAL ADVICE: For educational purposes only. Not recommendations to buy/sell. You are solely responsible for all trading decisions.
NO WARRANTIES: Provided "AS IS" without guarantees of accuracy, reliability, or profitability. Performance varies by market conditions and assets.
ML LIMITATIONS: Historical optimization doesn't guarantee future performance. Requires warmup period. No algorithm predicts markets with certainty.
USER RESPONSIBILITY - YOU ACKNOWLEDGE:

You make all trading decisions and accept all outcomes
You'll conduct your own research and due diligence
You understand trading risks and won't risk unaffordable capital
You'll use proper position sizing and risk management
Developer bears NO liability for any losses

NO LIABILITY FOR:
Direct/indirect damages, loss of capital, missed opportunities, technical errors, or market events.
TERMS: By using this indicator you accept this disclaimer. Consult qualified financial professionals before investing. Unauthorized redistribution prohibited.

Version 2.6 - CPR integration with ML
Invite-Only Access - Use responsibly. Respect intellectual property.
Remember: This tool assists your decision-making, it doesn't replace it. Trade smart, manage risk, stay disciplined.

Remember: The best indicator is your own knowledge and experience. This tool is meant to assist, not replace, your decision-making process.

il y a 7 jours

Notes de version

🤖 ML-ENHANCED MULTI-INDICATOR WITH CPR & ORB v3.0 🤖

Transform your trading with AI-powered signal optimization! This advanced indicator combines 6 powerful technical tools with machine learning to automatically adapt to market conditions.

📊 CORE INDICATORS:
- SuperTrend - Trend identification with dynamic support/resistance
- Moving Average (SMA/EMA/WMA/RMA) - Customizable trend confirmation
- VWAP - Volume-weighted price levels for institutional reference
- Linear Regression - Statistical trend analysis and momentum
- Daily/Weekly CPR - Central Pivot Range for support/resistance zones
- ORB - Opening Range Breakout (5min/15min/1hour options)

🎯 MACHINE LEARNING FEATURES:
- Adaptive weight optimization based on real performance
- Tracks prediction accuracy for each indicator (Overall + Recent)
- Automatically adjusts indicator weights to maximize success rate
- Confidence metrics and performance improvement tracking
- Learns continuously - gets smarter with every trade

🔧 CUSTOMIZATION OPTIONS:
- Learning Period: 20-500 bars for ML training
- Prediction Horizon: 1-20 bars ahead forecasting
- Signal Thresholds: Adjustable for Strong Buy/Buy/Sell/Strong Sell
- Manual Weight Override: Use ML or set your own weights
- Table Sizes: Tiny/Small/Detailed views for different screen sizes
- Signal Sizes: Small/Medium/Large triangle indicators

📈 ORB BREAKTHROUGH:
- Works on ANY timeframe (not just intraday!)
- Flexible market timing - Indian (9:15), US (9:30), or custom
- 5min/15min/1hour opening range options
- Visual ORB lines with automatic level detection
- Optional ML integration or reference-only mode

⚡ WHAT MAKES THIS UNIQUE:
Unlike traditional indicators with fixed weights, this ML system LEARNS which indicators work best in current market conditions and adapts automatically. It's like having an AI analyst constantly optimizing your strategy!

Perfect for: Day traders, swing traders, scalpers, and anyone seeking data-driven trading decisions backed by adaptive intelligence.

✅ All signals include detailed performance metrics, confidence scores, and improvement tracking vs equal-weight baseline.

⚠️ DISCLAIMER & RISK WARNING:
This indicator is a technical analysis tool for EDUCATIONAL and INFORMATIONAL purposes only. It does NOT constitute financial, investment, or trading advice. Past performance and backtested results do NOT guarantee future performance. Trading involves substantial risk of loss and is not suitable for all investors. You should never invest money that you cannot afford to lose. The machine learning algorithm optimizes based on historical data and may not predict future market movements accurately. Market conditions can change rapidly, making previous patterns irrelevant. Always conduct your own research, consider your risk tolerance, and consult with licensed financial advisors before making trading decisions. The creator assumes NO responsibility for trading losses incurred from using this indicator. USE AT YOUR OWN RISK.

il y a 6 jours

Notes de version

# ML-Enhanced Multi-Indicator with CPR & ORB v3.0

## Overview
Advanced TradingView indicator combining machine learning with traditional technical analysis. Automatically optimizes indicator weights based on historical performance, adapting to market conditions in real-time.

## Core Features

### 🤖 Machine Learning System
- Adaptive weight learning based on prediction accuracy
- Performance tracking for each indicator
- Continuous learning and real-time optimization
- Confidence scoring and transparency metrics

### 📊 Six Technical Indicators
1. **SuperTrend** - Trend-following with customizable settings
2. **Moving Averages** - SMA, EMA, WMA, or RMA
3. **VWAP** - Volume-weighted institutional levels
4. **Linear Regression** - Momentum slope analysis
5. **CPR** - Daily/Weekly pivot support/resistance
6. **ORB** - Opening range breakout with flexible timing

### 🎯 ORB Features
- Flexible duration: 5min, 15min, or 1hour
- Customizable market start time for any exchange
- Works on any chart timeframe - respects user selection
- Real-time updates with visual highlighting
- Automatic breakout alerts

### ⚡ Signal System
- Four levels: Strong Buy, Buy, Sell, Strong Sell
- Weighted composite scoring from all indicators
- Visual alerts with color-coded triangles
- Customizable signal sizes (Small/Medium/Large)
- Three table display modes: Tiny, Small, Detailed

## Configuration

### ML Parameters
- Learning Period: 20-500 bars (default: 100)
- Prediction Horizon: 1-20 bars (default: 5)
- Learning Rate: 0.01-1.0 (default: 0.1)
- Minimum Samples: Required before activating ML

### Display Options
- Table position and size customization
- Show/hide components (ORB lines, CPR, signals)
- Signal threshold adjustments
- Background coloring options

## Best Practices
1. Start on lower timeframes (1-min to 15-min)
2. Set correct market hours for ORB
3. Allow ML warm-up period
4. Monitor performance metrics
5. Use multiple confirmations
6. Combine with price action analysis

## Alerts Available
- ML Strong Buy/Buy/Sell/Strong Sell
- ORB Breakout Up/Down
- ML Performance Warning (accuracy < 45%)

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## ⚠️ DISCLAIMER

### Investment Risk Warning
THIS INDICATOR IS FOR EDUCATIONAL PURPOSES ONLY. Not financial, investment, or trading advice. PAST PERFORMANCE DOES NOT GUARANTEE FUTURE RESULTS. Trading involves substantial risk of loss - only trade with capital you can afford to lose.

### No Guarantee or Liability
The author provides no guarantees of accuracy or profitability. Machine learning has limitations and may not adapt to unprecedented events. Technical indicators are lagging and may generate false signals. THE AUTHOR ASSUMES NO LIABILITY FOR LOSSES OR DAMAGES FROM USING THIS INDICATOR.

### User Responsibility
Users must:
- Independently verify all signals
- Perform their own analysis
- Consult qualified financial professionals
- Ensure regulatory compliance
- Implement proper risk management
- Use stop losses and position sizing
- Never risk more than they can afford to lose

### Software Limitations
Provided "as-is" without warranties. May contain bugs. ORB/CPR patterns may not repeat. ML requires sufficient data and time to adapt. False signals, whipsaws, and failed breakouts can occur.

### Important Notes
- Not professional financial advice
- Author is not a licensed financial advisor
- Beta status - test thoroughly before live trading
- Users accept all trading risks
- Do not blindly follow signals

**BY USING THIS INDICATOR, YOU ACKNOWLEDGE YOU HAVE READ AND AGREE TO THIS DISCLAIMER AND ACCEPT ALL TRADING RISKS.**

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**Author:** Ravindra Elicherla | x.com/Ravindra_PE
**Version:** 3.0 (October 2025) - Added ORB with ML integration
**Remember:** Use as part of a comprehensive strategy, not as a replacement for knowledge and discipline.

il y a 14 heures

Notes de version

ML-Enhanced Multi-Indicator with CPR, ORB & Points Tracking v3.1
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🤖 ADVANCED MACHINE LEARNING SYSTEM
This indicator uses adaptive machine learning to automatically optimize indicator weights based on historical performance. The ML engine continuously learns and adjusts weights to maximize prediction accuracy, providing truly intelligent trading signals.

📊 INTEGRATED TECHNICAL INDICATORS
- SuperTrend - Trend following with ATR-based stops
- Moving Averages (SMA/EMA/WMA/RMA) - Trend identification
- VWAP - Volume-weighted price analysis
- Linear Regression - Momentum and slope detection
- CPR (Central Pivot Range) - Daily/Weekly support/resistance levels
- ORB (Opening Range Breakout) - 5min/15min/30/min/1hour customizable range

💰 POINTS TRACKING SYSTEM (NEW in v3.1)
- Real-time P&L tracking for Long and Short positions
- Customizable lookback period (1-365 days) for performance analysis
- Automatic calculation of points gained from Buy→Sell (Long) and Sell→Buy (Short)
- Color-coded cells: Green for profits, Red for losses
- Shows unrealized P&L for open positions with entry prices
- Trade statistics: Total trades, average points per trade, win rates
- Both Strong Buy/Buy treated as BUY signals, Strong Sell/Sell as SELL signals

🎯 SMART SIGNAL GENERATION
- Composite signals combining all indicators with ML-optimized weights
- Four signal levels: Strong Buy, Buy, Sell, Strong Sell
- Customizable thresholds and signal smoothing
- Background coloring for easy trend identification

📈 PERFORMANCE ANALYTICS
- Real-time accuracy tracking for each indicator
- ML vs Equal Weight comparison showing performance improvement
- Recent vs Overall performance metrics
- Confidence scoring based on sample size
- Detailed or compact table views with customizable positioning

⚙️ FULLY CUSTOMIZABLE
- Enable/disable individual indicators
- Manual weight override when ML is disabled
- Adjustable learning rate, prediction horizon, and sample requirements
- Signal size options (Small/Medium/Large)
- Flexible ORB timing to match your market opening hours

⚠️ DISCLAIMER
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss. The ML system learns from historical data and may not predict future market conditions accurately. Always use proper risk management, position sizing, and stop losses. Test thoroughly on paper trading before using real capital. The creator is not responsible for any trading losses incurred using this indicator. Always do your own research and consult with a financial advisor before making investment decisions.

il y a 6 heures

Notes de version

V 3.2 Fixed error in long time frame.. Minor fix.