OPEN-SOURCE SCRIPT
Crypto Fama-French Factors Proxy

# TradingView Profile Summary - Ehala
## Profile Overview
**Name**: Ehala
**Focus**: Quantitative Analysis & European Trading Methods
**Specialization**: Mathematical Rigor + Systematic Approaches
## Core Philosophy
Combining precision with consistency through:
- **French Mathematical Rigor**: Advanced mathematical concepts for accurate signal generation
- **Italian Systematic Methods**: Structured approaches for robust performance
## Published Content
### Indicator Suite
1. **Enhanced French Momentum** - Multi-timeframe momentum with statistical normalization
2. **Enhanced French Volatility** - Comprehensive volatility analysis with multiple methods
3. **French ALMA Series** - Arnaud Legoux Moving Average implementations (basic to advanced)
4. **Crypto Fama-French Proxies** - Factor models adapted for cryptocurrency markets (3 versions)
### Strategy Suite
1. **European Strategy** - Systematic approach combining multiple factors
2. **Enhanced European Strategy** - Advanced version with risk management features
## Unique Value Proposition
### Mathematical Precision
- Implementation of academic research in accessible formats
- Advanced smoothing techniques (ALMA)
- Statistical normalization methods (Z-Score, percentile ranking)
### Systematic Consistency
- Structured approach to factor combination
- Risk management integration
- Cross-market adaptability
### European Integration
- **French Approach**: Mathematical optimization and precision
- **Italian Approach**: Systematic methods and robustness
- **Combined Benefit**: Accuracy with reliability
## Educational Content
### Documentation
- Comprehensive implementation guides
- Theoretical background explanations
- Practical usage recommendations
### Methodology
- Detailed explanation of European analytical approaches
- Step-by-step customization guides
- Best practices for different market conditions
## Recent Updates
### October 2025
- **New**: Complete crypto-focused indicator suite
- **Enhanced**: Existing indicators with improved normalization
- **Expanded**: Documentation and usage guides
### September 2025
- **Launched**: Core indicator suite
- **Introduced**: European strategy implementations
- **Established**: Mathematical framework
## Community Engagement
### Support
- Comprehensive documentation for self-service learning
- Clear parameter explanations for easy customization
- Usage guides for different experience levels
### Collaboration
- Open to feedback and suggestions
- Welcoming contributions and improvements
- Active development based on user needs
## Future Development
### Short-term Goals
- Additional cryptocurrency-specific tools
- Enhanced information visualization
- Improved parameter optimization
### Long-term Vision
- Machine learning integration
- Portfolio-level analysis capabilities
- Cross-platform implementation
## Professional Background
**Expertise**:
- Quantitative analysis and mathematical modeling
- Algorithmic trading system development
- European trading methodology integration
**Approach**:
- Evidence-based indicator development
- Rigorous testing across market conditions
- Continuous refinement based on performance
## Risk Disclosure
All published content is for educational and research purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Users should:
- Thoroughly test any strategy before implementation
- Practice proper risk management
- Paper trade new approaches
- Understand the mathematical foundations
## Contact Information
**TradingView**: Ehala
**Focus**: Mathematical precision meets systematic trading
**Message**: Open to collaboration and discussion
---
*"Precision through mathematics, consistency through systematics"*
*Connect to explore the intersection of advanced quantitative methods and practical trading applications*
## Profile Overview
**Name**: Ehala
**Focus**: Quantitative Analysis & European Trading Methods
**Specialization**: Mathematical Rigor + Systematic Approaches
## Core Philosophy
Combining precision with consistency through:
- **French Mathematical Rigor**: Advanced mathematical concepts for accurate signal generation
- **Italian Systematic Methods**: Structured approaches for robust performance
## Published Content
### Indicator Suite
1. **Enhanced French Momentum** - Multi-timeframe momentum with statistical normalization
2. **Enhanced French Volatility** - Comprehensive volatility analysis with multiple methods
3. **French ALMA Series** - Arnaud Legoux Moving Average implementations (basic to advanced)
4. **Crypto Fama-French Proxies** - Factor models adapted for cryptocurrency markets (3 versions)
### Strategy Suite
1. **European Strategy** - Systematic approach combining multiple factors
2. **Enhanced European Strategy** - Advanced version with risk management features
## Unique Value Proposition
### Mathematical Precision
- Implementation of academic research in accessible formats
- Advanced smoothing techniques (ALMA)
- Statistical normalization methods (Z-Score, percentile ranking)
### Systematic Consistency
- Structured approach to factor combination
- Risk management integration
- Cross-market adaptability
### European Integration
- **French Approach**: Mathematical optimization and precision
- **Italian Approach**: Systematic methods and robustness
- **Combined Benefit**: Accuracy with reliability
## Educational Content
### Documentation
- Comprehensive implementation guides
- Theoretical background explanations
- Practical usage recommendations
### Methodology
- Detailed explanation of European analytical approaches
- Step-by-step customization guides
- Best practices for different market conditions
## Recent Updates
### October 2025
- **New**: Complete crypto-focused indicator suite
- **Enhanced**: Existing indicators with improved normalization
- **Expanded**: Documentation and usage guides
### September 2025
- **Launched**: Core indicator suite
- **Introduced**: European strategy implementations
- **Established**: Mathematical framework
## Community Engagement
### Support
- Comprehensive documentation for self-service learning
- Clear parameter explanations for easy customization
- Usage guides for different experience levels
### Collaboration
- Open to feedback and suggestions
- Welcoming contributions and improvements
- Active development based on user needs
## Future Development
### Short-term Goals
- Additional cryptocurrency-specific tools
- Enhanced information visualization
- Improved parameter optimization
### Long-term Vision
- Machine learning integration
- Portfolio-level analysis capabilities
- Cross-platform implementation
## Professional Background
**Expertise**:
- Quantitative analysis and mathematical modeling
- Algorithmic trading system development
- European trading methodology integration
**Approach**:
- Evidence-based indicator development
- Rigorous testing across market conditions
- Continuous refinement based on performance
## Risk Disclosure
All published content is for educational and research purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Users should:
- Thoroughly test any strategy before implementation
- Practice proper risk management
- Paper trade new approaches
- Understand the mathematical foundations
## Contact Information
**TradingView**: Ehala
**Focus**: Mathematical precision meets systematic trading
**Message**: Open to collaboration and discussion
---
*"Precision through mathematics, consistency through systematics"*
*Connect to explore the intersection of advanced quantitative methods and practical trading applications*
開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
Lizard
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。
開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
Lizard
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。