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When you assess whether to invest in an asset, you want to look not only at how much money you could make but also at how much risk you are taking. The Sharpe Ratio, developed by Nobel Prize winner William Sharpe some 50 years ago, does precisely this: it compares the return of an investment to that of an alternative and relates the relative return to the risk of the investment, measured by the standard deviation of returns.
In this project, you will apply the Sharpe ratio to real financial data using pandas. Before starting this project you, should have completed the DataCamp course Importing and Managing Financial Data using Python.
Founder & Lead Data Scientist at Applied Artificial Intelligence
Stefan is Lead Data Scientist at Applied AI where he advises Fortune 500 companies and startups on translating business goals into a data & AI strategy, building data science teams, and developing machine learning solutions. Prior to his current venture, he was a partner and managing director at an international investment firm where he built the predictive analytics and investment research practice. Stefan holds Master degrees from Harvard and Free University Berlin, and a CFA Charter. He is the author for ‘Machine Learning for Algorithmic Trading’ and teaches data science at General Assembly.See More