Hello Streamlit Community!
I’ve built a Portfolio Optimization Model for analyzing and optimizing financial portfolios. It uses modern portfolio theory and convex optimization techniques to identify optimal allocations, backtest performance, and visualize results.
Check it out here: https://optimize-this-portfolio.streamlit.app
Key Highlights:
- Smart Portfolio Optimization: Achieve the ideal balance between risk and return based on your target return.
- Backtest Against Leading Indices: Measure your portfolio’s performance against top benchmarks like the S&P 500 or NASDAQ.
- Flexible Inputs: Analyze your own stock picks or use random tickers for quick testing.
- Dynamic Visuals: Visualize the optimized portfolio’s risk-return profile and performance over time.
As someone from a non-tech background, I really enjoyed the journey of building this app. I hope you find it helpful, and I’d love to hear your thoughts and feedback!
Here are some screenshots:
