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ESJavadex / repository
This is a Python-based web application for Elliott Wave analysis of financial markets. It detects wave structures (impulses and corrections), projects future price zones using Fibonacci retracements/extensions, and provides trade setup recommendations with entry, stop-loss, and take-profit levels.
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This is a Python-based web application for Elliott Wave analysis of financial markets. It detects wave structures (impulses and corrections), projects future price zones using Fibonacci retracements/extensions, and provides trade setup recommendations with entry, stop-loss, and take-profit levels.
This tool is designed to help technical traders, analysts, and developers visualize Elliott Wave patterns, validate potential wave sequences, and simulate or plan trades using:
It's useful for strategy development, market pattern research, and educational purposes.
Clone the repository:
git clone https://github.com/ESJavadex/elliot-waves-auto.git
cd elliott-wave-analyzer
(Optional) Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
Install dependencies:
pip install -r requirements.txt
Run the Flask application:
python app.py
Open your browser and go to:
http://127.0.0.1:5000
Enter a stock ticker (e.g. AAPL, ^SPX), date range, and interval (1d, 1wk, etc.).
Click "Submit" to:
You can also toggle:
The application now uses curl_cffi to avoid Yahoo Finance rate limiting issues. This solution:
get_stock_data functionYou can also use the standalone utility to test this approach:
python fix_yfinance_ratelimit.py AAPL --start 2023-01-01 --end 2023-12-31 --interval 1wk
This utility demonstrates how to use the solution with any yfinance application.
You can also run the application using Docker, which is especially useful for deployment on a Raspberry Pi:
Build and start the Docker container:
docker-compose up -d
Access the application in your browser at: http://your-host-ip:5001
Stop the Docker container:
docker-compose down
The Docker configuration:
💡 This app is for educational and strategy development only. Do not use it for live trading.