Stock Tracker using Python

This repository contains code for a simple stock tracker web application built with Python and Streamlit. The application allows users to track the stock prices of various companies using the yfinance library and visualizes the data using line charts and tables.

Installation

To run the stock tracker application locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/<username>/<repository>.git

2. Navigate to the project directory:

   cd <repository>

3. Install the required dependencies using pip:

   pip install -r requirements.txt

4. Run the application:

   streamlit run app.py

   The application will be accessible at http://localhost:8501 in your web browser.

Usage

1. Open the application in your web browser.

2. Enter the stock ticker symbol in the text input box (e.g., AAPL for Apple Inc., INTC for Intel Corporation).

3. Press Enter or click outside the input box to update the visualization.

4. The application will display a line chart representing the closing prices of the stock over time.

5. Additionally, a table containing the stock data will be displayed below the chart.

About the Code

The main code file app.py contains the following components:

• Importing the required libraries: streamlit, yfinance, and pandas.
• Setting the page title and background image using Streamlit's set_page_config and markdown functions.
• Defining a function get_stock_data that uses the yf.download function from yfinance to retrieve stock data for a given ticker symbol.
• Using Streamlit's sidebar and text_input functions to allow users to input a stock ticker.
• Calling the get_stock_data function to retrieve the stock data for the entered ticker.
• Displaying the stock data in a line chart using Streamlit's line_chart function.
• Displaying the stock data in a table using Streamlit's write function.

Additional Information

The stock tracker application is deployed using Streamlit and can be accessed online at Stock Tracker App.

For more information about Streamlit, refer to the Streamlit documentation.

Contributing

Contributions to the repository are welcome. If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.