{"repo":"AmpyFin/Euler","free":true,"listed":false,"github":"https://github.com/AmpyFin/Euler","clone":"git clone https://github.com/AmpyFin/Euler.git","description":"Volatility regime detection system that analyzes hidden macrotrends to identify market regime shifts. This system is designed not to predict specific market movements, but rather to understand the underlying volatility environment and market stress conditions.","language":"Python","stars":10,"topics":["indicators","predictive-modeling","trading","volatility-modeling"],"license":null,"category":"trading","readme_excerpt":"Euler System An advanced market risk assessment system featuring 10 sophisticated weighting strategies including 3 ML-enhanced ensemble methods and predictive risk indicators to identify dangerous market conditions before they become crises. Euler focuses on structural overvaluation risk and market stress signals that precede major market corrections. Key Innovation : Modular weighting system with strategies ranging from simple equal weighting to advanced ML-enhanced adaptive ensemble methods using scikit-learn that automatically learn optimal strategy combinations and adapt based on market conditions. Demo Click the image above to watch the demo video Installation 1. Clone the repository : 2. Install dependencies : 3. Verify installation : Configuration & Updates System Configuration The system behavior is controlled by the control.py file in the root directory: See the fully documented control.py file for detailed configuration options and usage examples. Weighting Strategy Configuration The weighting method is configured in registries/weight registry.py : System Updates & Maintenance Updating Dependencies System Health Checks Configuration Validation Performance Monitoring Backup & Recovery Troubleshooting Common Issues 1. Import Errors : 2. GUI Not Displaying : 3. Network Issues : 4. Strategy Errors : Version Management Configuration Options - broadcast mode : - True : System broadcasts market analysis data over UDP network - False : System runs locally without broadcasti","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmpyFin","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmpyFin/Euler/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}