An interactive dashboard that pulls real-time stock or ETF data using yfinance, processes it with pandas, and visualizes trends using plotly — all wrapped in a sleek Streamlit interface.

• 📈 Historical data visualization (price, volume, moving averages)
• 🔍 Select custom tickers, date ranges, and metrics
• 📤 Export selected data and charts to CSV/PNG
• 💡 Built in a clean Python virtual environment for smooth dependency management

• Python
• Streamlit
• yfinance
• pandas
• plotly

# Clone the repo
git clone https://github.com/yourusername/financial-dashboard.git
cd financial-dashboard

# Create and activate virtual environment (recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run app.py