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*
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, penulis skrip ini telah menjadikannya sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Hormat untuk penulisnya! Meskipun anda dapat menggunakannya secara gratis, ingatlah bahwa penerbitan ulang kode tersebut tunduk pada Tata Tertib kami.
Lizard
Pernyataan Penyangkalan
Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.
Skrip open-source
Dengan semangat TradingView yang sesungguhnya, penulis skrip ini telah menjadikannya sumber terbuka, sehingga para trader dapat meninjau dan memverifikasi fungsinya. Hormat untuk penulisnya! Meskipun anda dapat menggunakannya secara gratis, ingatlah bahwa penerbitan ulang kode tersebut tunduk pada Tata Tertib kami.
Lizard
Pernyataan Penyangkalan
Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.