The moving average of a stock can be calculated using the pandas statistical package that is a part of pandas and is in the
pd.stats namespace, specifically, the
The moving average will give you a sense of the performance of a stock over a given time period by eliminating "noise" in the performance of the stock. The larger the moving window, the smoother and less random the graph will be—at the expense of accuracy.
To demonstrate, the following calculates the moving average for
90 day periods using the daily close. The difference in the reduction of noise can be easily determined from the visual:
In : # extract just MSFT close msft_close = close_px[['MSFT']]['MSFT'] ...