This project is based on the Mean-Variance model for optimization of a Stock Portfolio. It includes an analysis of the scheme, an implementation, its backtesting with Python and an academic-style report. Some libraries used are yfinance, pandas, seaborn, matplotlib, numpy, scipy and more.
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ValenDiazzz/OptimizationOfStocksPortfolio
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This project is based on the Mean-Variance model for optimization of a Stock Portfolio. It includes an analysis of the scheme, an implementation and its backtesting with Python.
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