naresh-dscience/Portfolio-Optimization-using-Genetic-Algorithm
Portfolio optimization using Genetic algorithm.
This project helps financial analysts and individual investors construct optimal investment portfolios. You input historical stock prices for various assets like stocks, bonds, or ETFs. It then calculates the ideal allocation (weights) for each asset to achieve the best balance of maximizing returns and minimizing risk. The output is a set of recommended investment proportions for your selected assets.
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Use this if you need to determine the best way to allocate capital across multiple financial assets to optimize for both high returns and low risk.
Not ideal if you are looking for real-time trading signals or if your investment strategy does not prioritize the mean-variance optimization framework.
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Last pushed
Jan 02, 2021
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