(WIP) Real-Time Stock Price Tracker

Real-Time Stock Price Tracker is a Python-based application that tracks live stock prices using the Yahoo Finance API (yfinance) and visualizes the stock price movement in real-time using matplotlib. This project demonstrates real-time data handling, API integration, and live-updating data visualizations. This is in a WIP state, which demonstrates POC, but more complex iterations are on the way.

Key Features:

• Fetches live stock prices using the yfinance library.
• Displays a live-updating graph of stock price movements.
• Updates every 5 seconds to reflect the most current stock data.
• Easy-to-run Python script with minimal dependencies.

This project is designed to handle:

• Real-time API integration and data processing.
• Dynamic data visualization using matplotlib.
• Handling live data with Python.

To run this project, you’ll need the following dependencies:

• Python 3.x
• yfinance library for fetching stock prices.
• matplotlib for real-time data visualization.

You can install the required dependencies using pip:

pip install yfinance matplotlib

Getting Started

Clone the repository:

git clone https://github.com/yourusername/real-time-stock-tracker.git
cd real-time-stock-tracker

Run the tracker:

python3 tracker.py

Enter a stock symbol (e.g., AAPL for Apple) when prompted:

Enter the stock symbol (e.g., AAPL for Apple): AAPL

View the live-updating graph of the stock price, which refreshes every 5 seconds. TODO: Add example screenshot

Project Structure

• tracker.py: The main Python script that fetches stock prices and displays the live-updating graph.
• test_tracker.py: Unit tests for the core functionality, ensuring the API integration and graph update logic work as expected.

Running the Tests

To run the tests, simply execute the following:

python3 -m unittest test_tracker.py

The tests currently ensure that:

• Stock prices are fetched correctly from the API.
• The graph updates correctly without errors.
• More to follow, these are in a WIP state

Future Enhancements

• Add more detailed stock information, such as volume, moving averages, and historical data.
• Allow users to track multiple stocks simultaneously.
• Implement a more advanced data visualization using plotly for interactive graphs.