Markowitz portfolio optimization in Python using historical market data and Sharpe ratio maximization.
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Updated
Mar 16, 2026 - Jupyter Notebook
Markowitz portfolio optimization in Python using historical market data and Sharpe ratio maximization.
Indian Stock Portfolio Optimization Dashboard using Python and Streamlit
An interactive quantitative finance dashboard that uses Markowitz Mean-Variance Optimization to visualize the Efficient Frontier of a stock portfolio.
The Quant's Cockpit is an end-to-end financial analytics platform. It ingests real-time data into a SQL warehouse and uses Markowitz Optimization to recommend ideal asset allocations. Features include a 'Quant AI Analyst' for automated ratings and Monte Carlo simulations for risk forecasting. Built with Python, Streamlit, and SQL
End-to-end quantitative investment analytics, GARCH volatility modeling, time-series forecasting (SARIMA/LSTM), portfolio optimization (Markowitz, Risk Parity, Black-Litterman), and net-of-cost backtesting for TSLA, SPY, & BND.
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