📈 Pattern Detection for Trading

Discover repeating patterns in financial time series using STUMPY — a powerful and scalable Python library for time series analysis based on the Matrix Profile.

This repository contains a Jupyter notebook that walks through how to use STUMPY to detect recurring patterns (motifs) and anomalies (discords) in financial instrument price data — a great starting point for building pattern-based trading strategies or just exploring time series analysis.

🎥 Video Walkthrough

Check out the full video tutorial here: [Insert your YouTube link here]

🧠 What's Inside

• An introduction to the Matrix Profile concept
• How to load and prep financial time series data
• Using STUMPY to find motifs (repeating patterns) and discords (anomalies)
• Visualizing detected patterns on price charts

🚀 Getting Started

Prerequisites

• Python 3.8+
• Jupyter Notebook or JupyterLab

Installation

git clone https://github.com/yourusername/pattern-detection-for-trading.git
cd pattern-detection-for-trading
pip install -r requirements.txt

Usage

Open the notebook and run through the cells:

jupyter notebook pattern_detection.ipynb

📦 Key Library

• STUMPY — for computing the Matrix Profile and detecting patterns

⚠️ Disclaimer

This project is for educational purposes only and does not constitute financial advice. Trading involves risk — always do your own research before making investment decisions.

🤝 Contributing

Found a bug or have an idea for improvement? Feel free to open an issue or submit a pull request!

📄 License

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

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