I’m currently building a custom portfolio evaluation and optimization tool to manage and analyze my Robinhood investments utilizing Python with Streamlit. The platform tracks performance, visualizes risk vs. return, and applies modern portfolio theory to suggest optimal allocations. This project combines finance, data analysis, and engineering, giving me a hands-on way to apply quantitative methods to real-world investing decisions.

Core Features

• Portfolio Performance Dashboard: Displays historical and real-time returns, growth over time, and comparison against benchmarks.

• Risk Analysis: Calculates volatility, Sharpe ratio, drawdowns, and correlation between assets to show diversification strength.

• Optimization Engine: Uses mean-variance optimization and efficient frontier modeling to suggest allocations that balance return and risk.