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https://github.com/mmsaki/whale_portfolio
Using Python and Pandas, determine which portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
https://github.com/mmsaki/whale_portfolio
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
Last synced: 18 days ago
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Using Python and Pandas, determine which portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
- Host: GitHub
- URL: https://github.com/mmsaki/whale_portfolio
- Owner: mmsaki
- Created: 2022-04-02T04:49:49.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-18T19:35:21.000Z (over 2 years ago)
- Last Synced: 2023-03-05T05:04:03.993Z (almost 2 years ago)
- Topics: datetime, finance, jupyter-notebook, matplotlib, numpy, pandas, pathlib, python, quantitative-finance, seaborn, stock-market, trading-strategies
- Language: Jupyter Notebook
- Homepage:
- Size: 28.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0