Homework Stock Research/Analysis
In the attached JupyterLab file I went onto perform the following tasks:
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Data Cleaning - took in the five major portfolios along with the SP500 and joined them into one data frame.
- This included the organization of data and removing null valriables
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Perform Quantitative Analysis - to best determine risk and performance of the portfolios against the SP500 index.
- Calulated Daily and Cumulative Returns of all the portfolios
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Risk Analaysis - both visually via a box plot and also seeing which portfolios carried more risk than the SP500
- Reviewed and presented corrlelation against each portfolio
- Analyized Beta as a risk measure
- Calculated the Sharp Returns so see if we could expect a portfolio to out perfom the index.
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Visualized cumulative performance based on comparitive plot measuring the performance of $10,000 in each portfolio and determined Algo 1 was a top perfomer.
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Data Gathering - leveraged yfinance to pull stock information for Apple, Amazon, Tesla, Microsoft and Google.
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Portfolio Analyiss - through a similar process described above proved that my portfolio best the SP500 along with the other portfolios in this analyis
- Nothing comes with out risk, and my portfolio was tech heavy, not diversified and did carry a high level or risk and volatility.