Live Site → https://divyansh1920.github.io/quantalpha
Most retail investors in India make decisions based on tips, social media, and gut feeling — not data.
QuantAlpha fixes that.
It is a free, no-login, fully browser-based stock intelligence platform that gives any investor — whether they're just starting out or have years of experience — the same analytical toolkit used by professional fund managers. Enter any stock ticker from the Indian (NSE) or US market and receive a complete financial analysis in under 10 seconds.
No Bloomberg terminal required. No expensive subscription. Just a ticker and a browser.
- 🎓 MBA & Finance students learning to apply valuation frameworks on real data
- 📈 Retail investors in India tired of making decisions without proper analysis
- 💼 Professionals who want a quick sanity check before investing
- 🧠 Beginners who want to learn investing through real companies, not textbooks
| Feature | QuantAlpha | Most Free Tools |
|---|---|---|
| Indian NSE stocks | ✅ Full support | ❌ Rare |
| AI Investment Score | ✅ 5-dimension, 0–100 | ❌ |
| DCF Intrinsic Value | ✅ Two-stage model | ❌ |
| Plain-English interpretation | ✅ Per metric, per company | ❌ |
| Education with real case studies | ✅ Enron, Buffett, Lehman | ❌ |
| Sign-up required | ❌ Never | Often |
| Cost | ❌ Free forever | Often paid |
Enter any NSE or NYSE/NASDAQ ticker and get a full financial report powered by live market data. Works for RELIANCE.NS, TCS.NS, AAPL, NVDA and thousands more.
A proprietary normalized scoring engine evaluates every company across 5 dimensions:
- Profitability — ROE, Net Margin, ROA, Gross Margin
- Valuation — P/E, P/B, EV/EBITDA
- Growth — Revenue & EPS year-over-year growth
- Financial Health — Debt/Equity, Current Ratio, Interest Coverage
- Cash Flow — FCF positivity and FCF growth
Scores are normalized — meaning if data is unavailable for some metrics, the score is calculated fairly based only on available data. No more artificially low scores due to missing fields.
A two-stage Discounted Cash Flow model estimates the intrinsic value per share using historically observed FCF growth rates, a 10% WACC, and 2.5% terminal growth. Displays full projection table, present values, and margin of safety label.
A collapsible panel on every analysis page explains what each metric actually means for this specific company — using the real numbers, in plain English. Designed to teach, not just display.
Curated stock lists for 4 proven investment strategies across both US and Indian markets:
- Value Investing — Low P/E, low P/B, strong FCF
- Growth Investing — High revenue growth, expanding margins
- Dividend Investing — Consistent dividend payers
- Quality Investing — High ROE, strong moats, low debt
Add up to 8 stocks (US or Indian), compare AI scores side by side, view market cap weight distribution, and get a combined portfolio score. Includes 6 preset portfolios across both markets.
5 learning modules with 15+ in-depth lessons, real-world case studies, and a YouTube video lecture section:
- Stock Market Basics — The ownership mindset, Mr. Market, market cap
- Valuation Ratios — P/E, P/B, EV/EBITDA, full DCF walkthrough with Coca-Cola
- Profitability Metrics — ROE, Free Cash Flow, DuPont analysis
- Risk & Financial Health — Debt, liquidity, interest coverage
- Investment Strategies — Value, growth, dividend with Buffett, Lynch, Graham
Every lesson uses real case studies — Enron's FCF fraud, Toys R Us debt collapse, Lehman Brothers liquidity crisis, Buffett's Goldman Sachs trade.
Frontend React 18 + Vite 5
Styling Tailwind CSS v3
Charts Recharts
Routing React Router DOM v6
HTTP Axios
Icons Lucide React
Deployment GitHub Pages (gh-pages)
Zero backend. Zero database. Zero server costs.
| Source | Used For | Plan |
|---|---|---|
| Financial Modeling Prep | US stock profiles, financials, ratios, DCF | Free (250 req/day) |
| Twelve Data | Indian NSE stock prices & history | Free (800 credits/day) |
| Alpha Vantage | Technical indicators (RSI, MACD) | Free (25 req/day) |
QuantAlpha was built with the Indian investor in mind. NSE-listed stocks are fully supported using the .NS suffix:
RELIANCE.NS TCS.NS HDFCBANK.NS INFY.NS
ZOMATO.NS TITAN.NS BAJFINANCE.NS ASIANPAINT.NS
- Live prices via Twelve Data (NSE feed)
- Financial statements via FMP v3 (where available)
- Full analysis page — charts, DCF, scoring — same as US stocks
# Clone
git clone https://github.com/divyansh1920/quantalpha.git
cd quantalpha
# Install
npm install
# Add API keys — create .env in root folder:
VITE_FMP_API_KEY=your_key_here
VITE_ALPHA_VANTAGE_KEY=your_key_here
VITE_TWELVE_DATA_KEY=your_key_here
# Run development server
npm run devVisit: http://localhost:5173/quantalpha/
Get free API keys from:
- FMP: https://financialmodelingprep.com/developer/docs
- Twelve Data: https://twelvedata.com
- Alpha Vantage: https://alphavantage.co
npm run deployBuilds the project and pushes to the gh-pages branch automatically.
src/
├── api/
│ ├── fmp.js US stock data (FMP Stable API)
│ ├── twelvedata.js Indian stock prices + OHLCV
│ └── alphavantage.js Technical indicators
├── components/
│ ├── Navbar.jsx
│ ├── Loader.jsx
│ ├── MetricCard.jsx
│ ├── MetricInterpreter.jsx
│ └── ScoreGauge.jsx
├── context/
│ └── StockContext.jsx Global state + US vs India routing
├── pages/
│ ├── Home.jsx Landing + search + market toggle
│ ├── Analysis.jsx Full 9-section company report
│ ├── Screener.jsx Strategy screener (US + India)
│ ├── Portfolio.jsx Multi-stock portfolio builder
│ └── Education.jsx Learning hub with video support
└── utils/
├── scoring.js Normalized AI scoring engine
├── dcf.js Two-stage DCF model
└── formatters.js Currency, percent, ratio formatters
- NSE screener with live fundamental filters
- Technical analysis tab (RSI, MACD charts)
- Peer comparison — 2 companies side by side
- Watchlist saved to localStorage
- Earnings calendar
- Export analysis report to PDF
- Nifty 50 / Sensex index overview dashboard
- PWA support — install on mobile home screen
QuantAlpha is built for educational and informational purposes only. Nothing on this platform constitutes financial advice or a recommendation to buy or sell any security. Always conduct your own research. Past performance does not guarantee future results. Investing involves risk of loss.
Built by Divyansh Jain — MBA Finance, FORE School of Management
Combining financial domain knowledge with modern web development to make institutional-grade investment research accessible to everyone.
© 2025 QuantAlpha · Free · Open Source · Built for Indian Investors 🇮🇳