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ElliotPy is an advanced, high-performance Elliott Wave engine and interactive visualization dashboard built with Python and Streamlit. It automates top-down fractal wave analysis on financial markets, applying complex structural rules to identify motives (impulses/diagonals) and corrections (zigzags/flats).
Clone the repository:
git clone https://github.com/ubermachine/ElliotPy.git
cd ElliotPyInstall dependencies:
pip install -r requirements.txtRun the dashboard:
python run.pyThe Streamlit app will automatically launch in your browser at http://localhost:8501.
ElliotPy is fully equipped to be hosted on Streamlit Cloud. If you want to use the in-app "Resync & Push to GitHub" feature on the cloud, you must configure two Streamlit Secrets in your app settings:
GITHUB_TOKEN = "ghp_your_personal_access_token_here"
GITHUB_REPO = "ubermachine/ElliotPy"(Ensure your Personal Access Token has write permissions to the repository).
ElliotPy currently caches daily data for:
MIT License. Feel free to fork, modify, and integrate ElliotPy into your own trading strategies!
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