StockLens is a stock recommendation website designed for beginners who are new to investing. The app uses Monte Carlo simulations, Value at Risk (VaR), and expected return analysis to guide users with simple Buy / Hold / Sell recommendations. It also provides a ranked list of the top 20 stocks with the best projected outcomes, helping users invest without needing prior finance knowledge.

Features -View account balance and portfolio holdings -Get stock-specific recommendations (Buy / Hold / Sell) -See the top 20 ranked stocks based on risk-return analysis -Beginner-friendly design — no financial expertise required

Backend: FastAPI, SQLite, Pandas, NumPy Frontend: React, Javascript Analytics: Monte Carlo Simulation, Value at Risk (VaR), Expected Return

Akerke Tungatarova [email protected]

Ashley Song [email protected]

Cherryann Yang [email protected]

Dominique Guenther [email protected]