📈 AlphaPulse Documentation
Welcome to the comprehensive documentation for AlphaPulse, an AI-powered algorithmic trading system designed to operate as an automated hedge fund.
🚀 Quick Start
🏗️ System Architecture
Understand the overall system design and component relationships
View Architecture →📚 Documentation Categories
🏗️ Architecture & Core Systems
Understand how AlphaPulse is built and how components work together:
- System Architecture - Overall system design and components
- Backend Architecture - Detailed backend architecture
- Architecture Diagrams - Visual system diagrams
- Multi-Agent System - Trading agents architecture
🔧 Development & Setup
Everything you need to develop and deploy AlphaPulse:
- Developer Guide - Complete development setup
- Deployment Guide - Production deployment
- Database Setup - Database configuration
- Debug Tools - Troubleshooting utilities
📊 Features & Capabilities
Explore AlphaPulse’s advanced trading capabilities:
- AI Hedge Fund - Core trading system
- Online Learning - Adaptive ML models
- Regime Detection - Market regime identification
- GPU Acceleration - Hardware acceleration
- Explainable AI - Model interpretability
🔐 Security & Compliance
Security features and protocols:
- Security Overview - Comprehensive security features
- Security Updates - Latest security patches
- Audit Logging - Compliance and audit trails
- Key Management - Cryptographic security
📈 Releases & Updates
Stay current with the latest developments:
- Latest Release - Current version highlights
- Release History - Complete release documentation
- Changelog - Detailed change history
🔗 Integration & Analysis
Deep dives into system integration and performance:
- Integration Status - System integration overview
- Performance Analysis - Technical analysis and studies
- Feature Integration - Component status map
🎯 Key Features
🤖 Multi-Agent AI Trading
6 specialized AI agents for technical, fundamental, sentiment, and value analysis
🛡️ Advanced Risk Management
Comprehensive risk controls, position sizing, and tail risk hedging
⚡ Real-time Processing
High-performance data pipeline with GPU acceleration
📊 Portfolio Optimization
Modern portfolio theory, HRP, and LLM-assisted optimization
🔍 Explainable AI
SHAP/LIME explanations for transparent trading decisions
📈 Regime Detection
HMM-based market regime identification and adaptation
🏷️ Current Version
AlphaPulse v1.19.0.0 - Latest stable release with comprehensive feature integration
- ✅ GPU Acceleration - Hardware-accelerated model training and inference
- ✅ Explainable AI - SHAP/LIME integration for decision transparency
- ✅ Data Quality - Comprehensive validation and monitoring pipeline
- ✅ Backtesting Engine - Advanced strategy validation and optimization
📞 Support & Community
Getting Help
- 📖 Documentation - Start with this comprehensive guide
- 🔧 Troubleshooting - Check Debug Tools for common issues
- 💻 API Reference - Live documentation available when system is running
- 🐛 Issues - Report bugs on GitHub Issues
Contributing
- 👨💻 Development Setup - Follow the Developer Guide
- 📋 Integration Status - Check current integration work
- 🧪 Testing - Comprehensive test suite with coverage reporting
- 📝 Documentation - Help improve and expand documentation
🌟 Project Highlights
AlphaPulse represents a sophisticated approach to algorithmic trading, combining:
- Advanced AI/ML with explainable decision making
- Institutional-grade risk management with real-time monitoring
- High-performance computing with GPU acceleration
- Modern software architecture with comprehensive testing
- Professional documentation and development practices
| *Documentation version: v1.19.0.0 | Last updated: 2025-07-06* |