nate-belete / candlestick-probability

Candlestick Probability Analysis

This is a Streamlit application that analyzes market patterns based on historical data and provides a probability analysis for future patterns.

How It Works

The application takes a stock ticker symbol, a time frame, and other parameters to analyze the market patterns and visualizes the most likely next patterns based on historical occurrences.

Features

• User inputs for ticker symbol, start and end dates, interval, and RSI period.
• Interactive analysis with Streamlit.
• Visual representation of results with Matplotlib and Seaborn.

Prerequisites

Before you can run the app, you'll need to install the required Python libraries:

pip install -r requirements.txt

Running the App

To run the app locally, navigate to the root directory of the project, and execute:

streamlit run app.py

Contributions

Contributions are welcome! If you have a suggestion or improvement, please fork the repository and create a pull request. You can also open an issue with the tag "enhancement".

License

This project is licensed under the MIT License - see the LICENSE file for details.