https://github.com/0xzee/financial-dashboard-streamlit
Streamlit dashboard app to provide Financial Stock data Dashboard
https://github.com/0xzee/financial-dashboard-streamlit
streamlit streamlit-dashboard yfinance
Last synced: about 2 months ago
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Streamlit dashboard app to provide Financial Stock data Dashboard
- Host: GitHub
- URL: https://github.com/0xzee/financial-dashboard-streamlit
- Owner: 0xZee
- Created: 2024-05-23T12:13:31.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-28T11:59:50.000Z (over 1 year ago)
- Last Synced: 2025-03-27T16:21:23.131Z (about 1 year ago)
- Topics: streamlit, streamlit-dashboard, yfinance
- Language: Python
- Homepage: https://stockz.streamlit.app/
- Size: 1.46 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Stock Dashboard App
## Overview
This Streamlit dashboard app provides financial data visualization and analysis for stocks. It uses `yfinance` to fetch data, and financial statements.
## Features
- Fetch real-time stock data using `yfinance`.
- Display key financial metrics and performance data.
- Visualize stock price trends and financial ratios with interactive charts.



## Installation
To run this app locally, follow these steps:
1. Clone the repository:
`git clone https://github.com/your-username/your-repo-name.git`
2. Navigate to the repository folder:
`cd your-repo-name`
3. Install the required packages:
`pip install -r requirements.txt`
4. Run the Streamlit app:
`streamlit run financial_dashboard_app.py`
## Usage
After running the app, navigate to `http://localhost:8501` in your web browser to view the dashboard.
## Requirements
This app requires the following packages:
- streamlit
- yfinance
- pandas
- matplotlib
- plotly.express
The exact versions of these packages can be found in the `requirements.txt` file.
## Contributing
Contributions to this project are welcome! Please fork the repository and submit a pull request with your proposed changes.
## License
This project is licensed under the MIT License - see the LICENSE.md file for details.
## Acknowledgments
- Thanks to the `yfinance` library for providing an easy way to access financial data.
- Appreciation to the Streamlit community for their support and resources.
## Contact
For any queries or feedback, please open an issue in the GitHub repository or contact me at `your-email@example.com`.