---
title: NSE Portfolio Optimizer Pro
emoji: 📊
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: "1.51.0"
app_file: app.py
pinned: false
license: mit
python_version: "3.11"
---

# 📊 NSE Portfolio Optimizer Pro

**Real-time Portfolio Optimization for Indian Stock Market**

Built with Modern Portfolio Theory and advanced analytics.

## ✨ Features

### Portfolio Selection
- 📈 **Live NIFTY 50** - Auto-fetched current constituents
- 🎯 **7 Sector Categories** - Banking, IT, FMCG, Pharma, Energy, Auto, Metals
- ✨ **Custom Portfolio** - Add your own stocks

### Advanced Analytics
- 🎲 **Monte Carlo Simulation** - 1000+ scenario analysis
- ⚠️ **Value at Risk (VaR)** - Downside risk quantification
- 📈 **Efficient Frontier** - Interactive risk-return visualization
- 🔄 **Rolling Metrics** - Time-series performance analysis
- 📉 **Drawdown Analysis** - Peak-to-trough decline tracking
- 📊 **Risk Contribution** - Individual stock risk breakdown

### Real-Time Data
- 💹 **Live Market Data** - Current prices, volumes, 52-week ranges
- 🏷️ **Automatic Sector Detection** - Using yfinance API
- 🔄 **Smart Caching** - Fast performance with fresh data

### Interactive Results
- 6 analysis tabs with professional visualizations
- Export CSV reports for further analysis
- Mobile-responsive interface

## 🚀 How to Use

1. **Select Portfolio Mode**
   - Live NIFTY 50
   - Sector Focus (7 categories)
   - Custom Selection

2. **Configure Investment**
   - Investment amount (₹)
   - Historical data period
   - Risk parameters

3. **Analyze Results**
   - Allocation by sector
   - Efficient frontier plot
   - Monte Carlo scenarios
   - Risk metrics
   - Rolling performance
   - Live market data

## 📊 Technologies

- **Streamlit 1.51.0** - Web framework
- **yfinance** - Market data
- **CVXPY** - Portfolio optimization
- **Plotly** - Interactive charts
- **NumPy/Pandas** - Data processing
- **SciPy** - Statistical analysis

## 📖 Methodology

**Modern Portfolio Theory (Markowitz, 1952)**
- Mean-Variance Optimization
- Sharpe Ratio Maximization
- Efficient Frontier Construction
- Monte Carlo Risk Simulation

## ⚠️ Disclaimer

**Educational purposes only.** This tool is for learning and research. It does not constitute financial advice. Always consult a qualified financial advisor before making investment decisions. Past performance does not guarantee future results.

## 📄 License

MIT License

---

**Built with ❤️ for Indian Stock Market Investors**