algorithmic_trading / README.md
Edwin Salguero
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---
title: Algorithmic Trading System
emoji: 📈
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.46.1
app_file: streamlit_app.py
pinned: false
license: apache-2.0
---
# Algorithmic Trading System
A comprehensive algorithmic trading platform with multiple AI agents, real-time data processing, and interactive UI interfaces.
## Features
- 🤖 **Multi-Agent System**: Strategy, Execution, and Data Ingestion agents
- 📊 **Real-time Data**: Market data ingestion and processing
- 🧠 **FinRL Integration**: Deep reinforcement learning for trading strategies
- 🎯 **Multiple UIs**: Streamlit, Dash, Jupyter, and WebSocket interfaces
- 📈 **Backtesting**: Comprehensive backtesting and performance analysis
- 🔒 **Risk Management**: Built-in risk controls and monitoring
- 🚀 **Deployment Ready**: Docker and cloud deployment support
## Quick Start
```bash
# Clone the repository
git clone https://github.com/EAName/algorithmic_trading.git
cd algorithmic_trading
# Install dependencies
pip install -r requirements.txt
# Run the Streamlit UI
streamlit run streamlit_app.py
```
## Architecture
- **Agentic AI System**: Core trading logic and agent coordination
- **Data Pipeline**: Real-time market data ingestion and processing
- **UI Layer**: Multiple interface options for different use cases
- **Deployment**: Docker and cloud-ready configuration
## Documentation
- [UI Setup Guide](UI_SETUP.md)
- [Deployment Guide](STREAMLIT_DEPLOYMENT.md)
- [Release Checklist](RELEASE_CHECKLIST.md)
## License
Apache License 2.0 - see [LICENSE](LICENSE) for details.