This project is a backtesting program for trading Tesla stock options on a weekly basis. It includes Python code to load historical stock data, calculate weekly profits, analyze earnings dates, and plot the results.
- Python 3
- pandas
- numpy
- matplotlib
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Clone the repository:
git clone https://github.com/your_username/tesla-options-backtesting.git
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Install the required Python packages:
pip install -r requirements.txt
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Prepare your historical Tesla stock data in CSV format and save it in the
datadirectory. -
Run the backtesting program:
python backtest.py
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The program will calculate weekly profits, analyze earnings dates, update loss weeks, and plot the results.
backtest.py: Main Python script for backtesting Tesla stock options.data/: Directory to store historical stock data in CSV format.README.md: This file.
Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or create a pull request on GitHub.
This project is licensed under the MIT License. See the LICENSE file for details.