Production-quality Python systems built to solve real investment challenges using quantitative methods and modern software engineering.
A complete daily pipeline that evaluates 55 NSE stocks across 8 scoring dimensions: fundamental analysis, technical indicators, momentum (GARCH), macro conditions, sector trends, Angel One API pricing, and FII/DII flows. Generates a weighted portfolio recommendation with HTML report showing Before/After/Comparison tables.
Get a fresh portfolio recommendation or analyse your existing holdings. Requires login.
An 11-module AI system to decide what to do with loss-making positions: Hold, Average Down, or Partial Exit. Inputs: just the stock name (reads position from broker holdings automatically). Uses fundamentals, GARCH volatility, FinBERT news sentiment, promoter analysis, governance scoring, and 3-year historical data.
Enter a loss-making stock ticker. Full 11-module analysis runs live (~1–3 min). Requires login.
A full-stack Flask web application showcasing quant capabilities. Login-protected dashboard with 6 live widgets: Strategy Backtester, Market Data Explorer, Strategy Optimiser, Risk Metrics Analyser, Portfolio Simulator, and Strategy Library. Deployed on AWS EC2 via Nginx + Gunicorn.