AI Trading Bot MVP

Project Overview

Advanced cryptocurrency trading bot using machine learning for price prediction and automated trading strategies.

Architecture

• Backend: FastAPI with PostgreSQL
• Data: Real-time market data collection
• ML: LSTM for price prediction + RL for strategy optimization
• Frontend: Streamlit dashboard
• Infrastructure: Docker containers

Quick Start

1. Setup Environment

   docker-compose up -d
   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   pip install -r requirements.txt

2. Run Data Collection

   python src/data/collector.py

3. Start Backend

   uvicorn src.backend.main:app --reload

4. Launch Dashboard

   streamlit run src/frontend/dashboard.py

Project Structure

ai-trading-bot/
├── src/
│   ├── backend/        # FastAPI backend
│   ├── data/          # Data collection & processing
│   ├── ml/            # Machine learning models
│   └── frontend/      # Streamlit dashboard
├── tests/             # Test suites
├── docker/            # Docker configurations
├── config/            # Configuration files
├── data/              # Raw and processed data
└── logs/              # Application logs

Development Status

See project-status.md for detailed progress tracking.