Skip to content

Prometheus: Add README for vsvtrend #6

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
laura-abro wants to merge 1 commit into
base: development
Choose a base branch
from
Open

Prometheus: Add README for vsvtrend #6

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
370 changes: 370 additions & 0 deletions README_Prometheus.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,370 @@
# VSVTrend: An Advanced, Adaptive TradingView Strategy for Precision Market Analysis

## Project Overview

VSVTrend is an advanced trading strategy developed for TradingView using Pine Script, designed to provide traders with a sophisticated and adaptable approach to market analysis and trade execution.

### Core Purpose
The primary goal of VSVTrend is to create a robust, flexible trading strategy that minimizes false signals and maximizes trade accuracy across various market conditions and timeframes.

### Key Features
- **Adaptive Trading Mechanics**: Implements intelligent entry and exit strategies with configurable parameters
- **Supertrend Filter**: Provides an optional trend confirmation mechanism to improve trade quality
- **Flexible Configuration**:
- Toggleable strategy activation
- Customizable Supertrend filter
- Adjustable Stop Loss and Take Profit percentages
- **Broad Compatibility**: Works across multiple timeframes and market instruments
- **Risk Management**: Utilizes percentage-based equity allocation for consistent position sizing

### Unique Advantages
- Open-source and community-driven approach
- Built-in visual toggle for easy strategy visualization
- Advanced risk management through adaptive stop loss and take profit mechanisms

## Getting Started

### Quick Start

To use the VSVTrend Strategy in TradingView:

1. Open TradingView Pine Editor
2. Create a new Pine Script strategy
3. Copy and paste the entire contents of `VSVTrend.pine` into the editor

### Configuration Options

The strategy offers several configurable parameters:

- `show_strategy`: Toggle the entire strategy on/off (default: `true`)
- `use_supertrend`: Enable/disable Supertrend filter (default: `true`)
- `atrPeriod`: ATR period for calculation (default: `10`)
- `factor`: Supertrend factor (default: `3.0`)
- `sl`: Stop Loss percentage (default: `1.5%`)
- `tp`: Take Profit percentage (default: `3.0%`)

### Basic Usage

1. Apply the strategy to any chart in TradingView
2. Adjust input parameters as needed
3. Run backtesting to evaluate performance
4. Optimize settings for your specific trading instrument

### Important Notes

- Works on all timeframes
- Provides both long and short trading signals
- Includes adaptive Stop Loss and Take Profit
- Utilizes Supertrend indicator for trend confirmation

### Recommended Workflow

1. Backtest on historical data
2. Validate signal accuracy
3. Adjust parameters to fit your trading style
4. Start with paper trading before live trading

## Installation and Setup

### Prerequisites
- TradingView Pro or Pine Script-compatible trading platform
- Basic understanding of Pine Script and trading strategies

### Installation
1. Open TradingView Pine Editor
2. Create a new Pine Script strategy
3. Copy and paste the entire contents of `VSVTrend.pine` into the editor

### Configuration Options
The strategy provides several customizable inputs:
- `show_strategy`: Toggle strategy on/off (default: `true`)
- `use_supertrend`: Enable/disable Supertrend filter (default: `true`)
- `atrPeriod`: ATR period for Supertrend calculation (default: `10`)
- `factor`: Supertrend factor (default: `3.0`)
- `sl`: Stop Loss percentage (default: `1.5%`)
- `tp`: Take Profit percentage (default: `3.0%`)

### Deployment
1. Compile the Pine Script in TradingView
2. Apply the strategy to your desired chart
3. Adjust input parameters as needed for your trading style

### Usage Notes
- Compatible with all timeframes
- Recommended for experienced traders
- Always backtest thoroughly before live trading

### Compatibility
- Pine Script Version 5
- Supports long and short trades
- Flexible strategy with multiple configuration options

## Customization Guide

The VSVTrend strategy is designed to be highly customizable to suit different trading preferences and styles. Users can modify various aspects of the strategy directly in the `VSVTrend.pine` script.

### Strategy Configuration Options

#### Core Strategy Settings
- `show_strategy`: A boolean toggle to turn the entire strategy on or off
- Default: `true`
- Location: `input.bool(true, title="Strategy ON/OFF")`

#### Technical Indicator Customization
- `use_supertrend`: Enable or disable the Supertrend filter
- Default: `true`
- Location: `input.bool(true, title="Supertrend filter")`
- `atrPeriod`: Adjust the Average True Range (ATR) period for Supertrend calculation
- Default: `10`
- Location: `input.int(10, title="ATR period")`
- `factor`: Modify the Supertrend factor
- Default: `3.0`
- Location: `input.float(3.0, title="factor")`

#### Risk Management Parameters
- `sl`: Stop Loss percentage
- Default: `1.5%`
- Location: `input.float(1.5, title="Стоп Лос (%)")`
- `tp`: Take Profit percentage
- Default: `3.0%`
- Location: `input.float(3.0, title="Тейк Профит (%)")`

### Rebranding and Modification Guidelines

1. **Strategy Name**:
- Modify the strategy name in the `strategy()` function call
- Current: `"VSVTrend Strategy"`
- Edit this to match your preferred strategy name

2. **Default Quantity Settings**:
- Adjust default equity percentage in the strategy initialization
- Current: `default_qty_type=strategy.percent_of_equity, default_qty_value=10`
- Modify `default_qty_value` to change the default trade size

### Advanced Customization
For more complex modifications:
- Add additional entry/exit conditions in the `longCond` and `shortCond` logic
- Implement more sophisticated stop loss and take profit mechanisms
- Integrate additional technical indicators or machine learning models

### Important Customization Notes
- Always thoroughly backtest any modifications
- Ensure changes align with your trading strategy and risk management principles
- Consider the impact of modifications on overall strategy performance

## Technologies Used

### Languages
- Pine Script (v5)
- Python (for machine learning components)

### Trading and Technical Analysis
- TradingView platform
- Technical Analysis Libraries:
- Supertrend Indicator
- Average True Range (ATR)

### Development Tools
- TradingView Pine Script Editor
- Integrated strategy development and backtesting environment

### Machine Learning and Data
- Python ML libraries (implied by ml/model_train.py)
- CSV data handling for trade log and model training

### Key Technologies
- Strategy development
- Technical indicator implementation
- Automated trading strategy
- Machine learning signal detection

## Use Cases

### Trading Strategy Application
- **Algorithmic Trading on TradingView**: Ideal for traders looking to implement an advanced, automated trading strategy with adaptive indicators
- **Multi-Timeframe Analysis**: Suitable for traders who want a flexible strategy that works across different time frames
- **Risk Management**: Perfect for traders seeking built-in stop-loss and take-profit mechanisms

### Specific Use Scenarios
- Cryptocurrency trading on various exchanges supported by TradingView
- Stock market trading with dynamic entry and exit conditions
- Forex market analysis with adaptive trend detection

### Recommended for
- Intermediate to advanced traders comfortable with Pine Script
- Quantitative traders interested in strategy backtesting
- Traders looking to reduce emotional decision-making in trading

### Limitations and Considerations
- Requires TradingView Pro or Pro+ subscription for full strategy testing
- Performance may vary across different market conditions
- Not a guaranteed profit mechanism; always use with proper risk management

## Contributing

We welcome and appreciate contributions from the community to help improve the VSVTrend Strategy. Whether you're a trader, developer, or machine learning enthusiast, there are several ways you can contribute:

### Code Contributions
1. Fork the repository
2. Create a new branch for your feature or bugfix
```
git checkout -b feature/your-feature-name
```
3. Make your changes, focusing on:
- Improving strategy logic
- Enhancing AI/ML false signal detection
- Optimizing performance
- Adding new input parameters
4. Ensure your code follows Pine Script best practices
5. Test your changes thoroughly using TradingView's strategy tester
6. Submit a pull request with a clear description of your changes

### Reporting Issues
- Use GitHub Issues to report bugs or suggest improvements
- Include details such as:
- TradingView version
- Pine Script version
- Specific trading pair and timeframe
- Detailed description of the issue or suggestion

### Feature Requests
- Open an issue describing the proposed feature
- Explain the potential benefit to the trading strategy
- Provide context on how it might improve trade accuracy or performance

### Documentation Improvements
- Help improve README documentation
- Add usage examples
- Clarify existing instructions
- Update technical descriptions

### Machine Learning Contributions
- Enhance the AI/ML module for false signal detection
- Propose new machine learning techniques
- Contribute improved model training scripts

### Code of Conduct
- Be respectful and constructive
- Collaborate openly
- Focus on improving the trading strategy's effectiveness

### Important Notes
- All contributions are subject to review
- Ensure compatibility with the existing strategy framework
- Provide test results or empirical evidence supporting your changes

Thank you for helping make VSVTrend a community-driven, high-performance trading strategy!

## Project Structure

The project is structured as a Pine Script trading strategy with a minimal, focused file layout:

### Main Strategy File
- `VSVTrend.pine`: The core TradingView strategy script implementing the VSVTrend trading algorithm. Contains strategy logic, including:
- Strategy configuration
- Input parameters
- Supertrend filter
- Entry and exit conditions
- Take Profit and Stop Loss mechanisms

### Planned Future Components
While not currently present in the repository, the README suggests potential future additions:
- Machine learning model for false signal detection
- Sample trade log for model training

### Key Characteristics
- Single-file implementation
- Direct integration with TradingView
- Configurable strategy parameters
- Modular design allowing easy customization

## Contributing

We welcome contributions to the VSVTrend Strategy! Here's how you can help improve the project:

### Ways to Contribute
- Suggest improvements to the trading strategy
- Report bugs or issues
- Propose new features
- Enhance the AI/ML false signal detection module
- Improve documentation

### Contribution Process
1. Fork the repository
2. Create a new branch for your feature or bugfix
3. Make your changes
4. Submit a pull request with a clear description of your modifications

### Testing
Currently, testing is primarily done through TradingView's built-in backtesting functionality:
- Use the strategy in TradingView's Pine Script Strategy Tester
- Validate performance across different timeframes and assets
- Compare results with the sample trade log in `data/sample_tradelog.csv`

### Development Setup
- Requires TradingView Pine Script v5
- Recommended: Latest TradingView account for strategy development
- Python (3.7+) recommended for ML model training

### Reporting Issues
- Use GitHub Issues to report bugs or suggest enhancements
- Include detailed information about your trading environment
- Attach screenshots or trade logs when possible

### Code of Conduct
- Be respectful and constructive
- Focus on improving the trading strategy's performance
- Maintain the open-source spirit of continuous improvement

## License

This project is licensed under the [MIT License](LICENSE).

### MIT License Overview
The MIT License is a permissive free software license that allows you to:
- Use the software commercially
- Modify the software
- Distribute the software
- Privately use the software

The only limitation is that the original copyright and license notice must be included in all copies or substantial portions of the software.

For full license details, please refer to the [LICENSE](LICENSE) file in the repository.

## Additional Notes

### Performance Considerations
- The strategy uses `strategy.percent_of_equity` for position sizing, defaulting to 10% of available equity
- Recommended to thoroughly backtest on multiple assets and timeframes
- Performance may vary depending on market conditions and selected parameters

### Disclaimer
- This trading strategy is provided for educational and research purposes only
- Past performance does not guarantee future results
- Always use proper risk management techniques
- Test extensively in a simulated environment before live trading

### Parameter Sensitivity
- Strategy performance is sensitive to input parameters:
- `ATR Period`: Affects Supertrend calculation sensitivity
- `Factor`: Influences Supertrend trend detection
- `Stop Loss`: Set between 1-2% for conservative risk management
- `Take Profit`: Recommended between 2-4% for balanced returns

### Technical Notes
- Implemented in Pine Script v5
- Compatible with TradingView platform
- Supports multiple timeframe analysis
- Includes built-in toggle for strategy activation and Supertrend filter

### Future Improvements
- Potential areas for enhancement:
- Implement more sophisticated machine learning signal validation
- Add dynamic stop loss and take profit calculations
- Develop multi-timeframe confirmation logic
- Create more robust false signal detection mechanisms

### Community Contribution
- Open to community suggestions and improvements
- Encourage collaborative refinement of the trading strategy
- Report issues or propose enhancements via GitHub issues