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AI Alpha Trader

Overview

Project Structure

AI ALPHA TRADER/
│
├── data/                          # Data storage
│   ├── raw/                       # Raw market data from exchanges
│   ├── processed/                 # Cleaned and processed data
│   └── backtest/                  # Backtesting datasets
│
├── models/                        # AI/ML models
│   ├── saved_models/              # Trained model weights
│   └── configs/                   # Model configuration files
│
├── strategies/                    # Trading strategies
│   └── [strategy files]
│
├── indicators/                    # Technical indicators
│   ├── trend/                     # Trend indicators (MA, EMA, etc.)
│   ├── momentum/                  # Momentum indicators (RSI, MACD, etc.)
│   ├── volatility/                # Volatility indicators (Bollinger Bands, ATR, etc.)
│   ├── volume/                    # Volume-based indicators
│   └── custom/                    # Custom indicators
│
├── src/                           # Source code
│   ├── data_processing/           # Data collection and preprocessing
│   ├── model_training/            # Model training scripts
│   ├── strategy_engine/           # Strategy implementation
│   ├── backtesting/               # Backtesting engine
│   ├── trading/                   # Live trading execution
│   └── utils/                     # Utility functions
│
├── notebooks/                     # Jupyter notebooks for analysis
│
├── logs/                          # Trading logs and AI decision logs
│
├── results/                       # Backtest results and reports
│
├── README.md                      # Project documentation
└── ai_wars_competition_guide.md   # Competition guidelines

Features

Core Features

Advanced Features

Installation

Prerequisites

Setup Instructions

Usage

Getting Started

Running the Bot

Configuration

Environment Variables

Trading Parameters

Trading Strategies

Strategy 1

Strategy 2

Custom Strategies

Risk Management

Position Sizing

Stop Loss & Take Profit

Risk Controls

Backtesting

How to Run Backtests

Interpreting Results

Performance Metrics

Key Metrics

Reporting

API Documentation

Troubleshooting

Contributing

License

Disclaimer

About

AI-powered trading system for WEEX Alpha Awakens hackathon. Features LSTM-based price prediction, automated risk management, and multi-timeframe analysis for crypto futures trading.

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