Build And Evaluate Investment Strategies With Python

Backtesting Your Investment Strategy with Python

There are two options

You need Anaconda (with Jupyter Notebook and Python) installed (instructions on course page)
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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
00 - Pandas DataFrames.ipynb		00 - Pandas DataFrames.ipynb
01 - Read from API.ipynb		01 - Read from API.ipynb
02 - Visualize DataFrames.ipynb		02 - Visualize DataFrames.ipynb
03 - Buy and Hold.ipynb		03 - Buy and Hold.ipynb
04 - Volatility.ipynb		04 - Volatility.ipynb
05 - Correlation.ipynb		05 - Correlation.ipynb
06 - A Simple Portfolio.ipynb		06 - A Simple Portfolio.ipynb
07 - The Asset-Hedge Split.ipynb		07 - The Asset-Hedge Split.ipynb
08 - Backtesting an Active Strategy.ipynb		08 - Backtesting an Active Strategy.ipynb
09 - Backtesting Another Strategy.ipynb		09 - Backtesting Another Strategy.ipynb
AAPL.csv		AAPL.csv
README.md		README.md