It’s crucial to understand the distribution curve of data (asset returns) and if it conforms to the normal distribution. You can learn how to do this in Python.
Read MoreTo understand what historical volatility and sharpe ratio are in the markets. It is a how-to guide how to compute volatility and sharpe ratio in Python.
Read MoreTo explain how to use cumprod in Pandas library to calculate cumulative portfolio return and single asset return in an efficient code with Python.
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