stock data app documentation created using readme markdown

Author: TorresjDev

stock-data-app/README.md

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+# 📈 Stock Data Application
+
+Welcome to the **Stock Data Application**!  
+This project is a user-friendly web app built with [Streamlit](https://streamlit.io/) and [yfinance](https://github.com/ranaroussi/yfinance), designed to help you explore historical stock prices and company information with ease.
+
+---
+
+## 🌐 Live Demo
+
+You can view the application live here:
+[Stock Data Application on Streamlit Cloud](https://python-programs-v9puvb4eqw5cfalfr8qgdi.streamlit.app/)
+
+---
+
+## 🚀 Features
+
+- **Interactive Web UI**: Powered by Streamlit for instant feedback and easy navigation.
+- **Live Stock Data**: Fetches historical stock prices from Yahoo Finance using `yfinance`.
+- **Company Insights**: Displays sector, industry, and a business summary for selected stocks.
+- **Custom Date Range**: Choose your own start and end dates for data analysis.
+- **Beautiful Charts**: Visualize Open, High, Low, and Close prices with interactive line charts.
+- **Streaming Summaries**: Enjoy a smooth, animated display of business summaries.
+
+---
+
+## 🛠️ How to Run Locally
+
+1. **Clone the repository**
+
+   ```bash
+   git clone https://github.com/your-username/Python-Programs.git
+   cd Python-Programs/stock-data-app
+   ```
+
+2. **Install dependencies**  
+   Make sure you have Python 3.8+ installed.
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. **Start the app**
+
+   ```bash
+   streamlit run main.py
+   ```
+
+4. **Open in your browser**  
+   Streamlit will provide a local URL (usually [http://localhost:8501](http://localhost:8501)).
+
+---
+
+## 📂 Folder Structure
+
+```
+stock-data-app/
+│
+├── main.py             # Streamlit app source code
+├── requirements.txt    # Python dependencies
+└── README.md           # This documentation
+```
+
+---
+
+## 📊 Supported Stocks
+
+Choose from a curated list of popular stocks:
+
+- Microsoft (MSFT)
+- Apple (AAPL)
+- Amazon (AMZN)
+- Google (GOOGL)
+- Tesla (TSLA)
+- Meta (META)
+- Netflix (NFLX)
+- Nvidia (NVDA)
+- Palantir (PLTR)
+
+---
+
+## 🌐 Deployment
+
+This app can be deployed for free using [Streamlit Community Cloud](https://streamlit.io/cloud):
+
+1. Push this folder to your GitHub repository.
+2. Go to [Streamlit Cloud](https://streamlit.io/cloud) and connect your repo.
+3. Set the app path to `stock-data-app/main.py`.
+4. Click **Deploy**!
+
+---
+
+## 📚 References
+
+- [Streamlit Documentation](https://docs.streamlit.io/library/api-reference)
+- [yfinance Documentation](https://ranaroussi.github.io/yfinance/index.html)
+
+---
+
+## 🙏 Acknowledgements
+
+This application was adapted and deployed by **Jesus Torres** as an assignment for the CIDM 4310/5310 Business Intelligence and Decision Support Systems course at West Texas A&M University, under the guidance of Dr. Cheng (Carl) Zhang.
+
+- The original codebase was provided as part of the course material.
+
+Also Special thanks to the open-source community!
+
+---
+
+## 📝 License
+
+This project is for educational and demonstration purposes.