73 lines
2.2 KiB
Markdown
73 lines
2.2 KiB
Markdown
# AutoTradingSystem
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Trial project for deep learning trading model with ChatGPT-4
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This project is an automatic trading system based on a Transformer and Reinforcement Learning hybrid model.
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Trial project for deep learning trading model with ChatGPT-4
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## Setup
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1. Install the required packages: `pip install -r requirements.txt`
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2. Run the main script: `python src/main.py`
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## Structure
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trading-system/
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│
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├── data/
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│ ├── raw/ # Raw data files
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│ └── processed/ # Processed data files
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│
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├── models/ # Trained models and model checkpoints
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│
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├── logs/ # Training logs, evaluation results, etc.
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│
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├── notebooks/ # Jupyter notebooks
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│ ├── data_exploration.ipynb
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│ ├── model_training.ipynb
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│ ├── model_evaluation.ipynb
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│ └── demo.ipynb
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│
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├── src/
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│ ├── data/ # Data-related modules
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│ │ ├── __init__.py
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│ │ ├── data_collection.py
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│ │ └── data_preprocessing.py
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│ │
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│ ├── models/ # Model-related modules
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│ │ ├── __init__.py
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│ │ ├── transformer_model.py
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│ │ ├── rl_model.py
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│ │ └── trading_agent.py
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│ │
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│ ├── training/ # Training-related modules
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│ │ ├── __init__.py
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│ │ └── train.py
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│ │
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│ ├── evaluation/ # Evaluation-related modules
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│ │ ├── __init__.py
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│ │ └── evaluate.py
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│ │
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│ ├── utils/ # Utility modules
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│ │ ├── __init__.py
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│ │ ├── metrics.py
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│ │ └── utils.py
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│ │
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│ └── main.py # Main entry point for the project
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│
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├── tests/ # Test-related modules
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│ ├── __init__.py
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│ ├── test_data_collection.py
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│ ├── test_data_preprocessing.py
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│ ├── test_transformer_model.py
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│ ├── test_rl_model.py
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│ ├── test_trading_model.py
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│ └── test_metrics.py
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│
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├── requirements.txt # Required Python packages
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│
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└── README.md # Project documentation
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