📈 Stock Tracker Dashboard

An interactive Streamlit dashboard that fetches live stock data using yfinance, calculates moving averages and percent changes, and visualizes trends with clean, beginner‑friendly charts.

---

🚀 Features

• Fetches stock data for any ticker symbol (e.g. AAPL, TSLA, MSFT)
• Supports multiple time periods: 1 month, 3 months, 6 months, 1 year
• Calculates 7‑day moving averages
• Displays overall percent change as a KPI metric
• Interactive line charts for closing price + moving average
• Built with Streamlit + pandas + yfinance

---

🛠 Tech Stack

• Python 3.10+
• Streamlit – interactive UI
• pandas – data manipulation
• yfinance – stock data
• matplotlib – plotting (optional)

---

📂 Project Structure

stock-dashboard/ │ ├── app.py # Streamlit app (UI layer) ├── analyzer.py # Analysis functions (moving average, percent change) ├── data_fetcher.py # Data fetching logic (yfinance) ├── requirements.txt # Dependencies └── README.md # Project documentation

---

▶️ Run Locally

Clone the repo and install dependencies:

git clone https://github.com/<ShravaniRanshevare>/stock-dashboard.git
cd stock-dashboard
pip install -r requirements.txt
Run the Streamlit app:
bash
streamlit run app.py
Then open http://localhost:8501 in your browser.

🌐 Deployment

This app is deployed on Streamlit Community Cloud. 👉 Live Demo: https://stock-dashboard-snoak9vfdnljrwrvqk2ept.streamlit.app



💡 Future Improvements


Compare multiple tickers side‑by‑side
Add more technical indicators (RSI, Bollinger Bands, etc.)
Export charts and data as CSV/PNG
Dark/light theme toggle

👩‍💻 Author

Built by Shravani R. Undergraduate in Computer Science/AI, passionate about finance, data visualization, and building user‑friendly dashboards.

---