A real-time financial dashboard built for hackathon focusing on stock volatility analysis and risk management.

• Real-time stock data analysis
• Volatility tracking and prediction
• Portfolio risk assessment
• Market sentiment analysis
• Simple, clean UI with powerful backend

• FastAPI - Modern, fast web framework
• Pandas & NumPy - Data manipulation
• yfinance - Free stock data
• SQLite - Lightweight database
• scikit-learn - ML for predictions

• Streamlit - Quick dashboard (recommended for hackathon)
• React + Tailwind - More customizable

1. Install dependencies:

pip install -r requirements.txt

2. Run the backend:

uvicorn main:app --reload

3. Run Streamlit dashboard:

streamlit run dashboard.py

• Basic FastAPI backend
• Stock data fetching with yfinance
• Simple volatility calculations
• Basic Streamlit dashboard

• Real-time volatility tracking
• Technical indicators (RSI, MACD, Bollinger Bands)
• Portfolio risk metrics (VaR, Sharpe ratio)
• Data visualization with Plotly

• Error handling and logging
• Performance optimization
• Deployment preparation
• Documentation and demo

1. AdminLTE - https://adminlte.io/ (Bootstrap-based)
2. Tabler - https://tabler.io/ (Modern, clean)
3. Volt Dashboard - https://demo.themesberg.com/volt-react-dashboard/
4. Material Dashboard - https://www.creative-tim.com/product/material-dashboard

1. TradingView - Professional charts
2. Yahoo Finance - Clean, simple layout
3. Robinhood - Mobile-first design
4. Bloomberg Terminal - Data-dense (avoid for hackathon)

• Focus on 2-3 core features
• Use pre-built components
• Prioritize functionality over aesthetics
• Start with mock data, add real data later

• Robust API design
• Error handling
• Data validation
• Performance optimization

• Have a clear story
• Show real-time data
• Demonstrate one "wow" feature
• Prepare backup demo if live data fails

GET /api/stocks/{symbol} - Get stock data
GET /api/volatility/{symbol} - Calculate volatility
GET /api/portfolio/risk - Portfolio risk analysis
GET /api/market/sentiment - Market sentiment
POST /api/alerts - Set volatility alerts

1. Historical Volatility - Standard deviation of returns
2. Implied Volatility - From options data (if available)
3. Realized Volatility - Rolling window calculations
4. Volatility of Volatility - VVIX-like metric

• Real-time data updates
• Accurate volatility calculations
• Responsive dashboard
• Clean, professional UI
• Working demo with live data 🚀

python -m venv venv

source venv/bin/activate

pip install -r requirements.txt

python test_api.py

python start.py