This project is a comprehensive portfolio optimization application designed to support 

• American bonds and derivatives, including

• Options, futures, and swaps. 

• It provides tools for data handling, pricing models, risk adjustments, and optimization features, along with 

• Visual analysis metrics. 

This project is a Streamlit-based Portfolio Optimization Web App that enables users to:

• Fetch historical stock data from Yahoo Finance.

• Perform portfolio optimization using Sharpe Ratio Maximization and Risk Parity.

• Analyze portfolio risk metrics including VaR, CVaR, Maximum Drawdown, and HHI.

• Cluster stocks using KMeans Clustering and visualize them with PCA.

• Fetch latest news related to selected stocks from NewsAPI.

• Display optimized portfolio weights, risk metrics, and asset clusters with interactive Plotly charts.

A web app for portfolio optimization, featuring 

• Efficient frontier visualization

• Monte Carlo simulations, and 

• Performance metrics like expected return, risk, and Sharpe ratio. 

• Users can input stock tickers, set timeframes, and optimize portfolios for specific target returns with downloadable allocations.

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