June 2015
Beginner
348 pages
8h 44m
English
We already know how to calculate the SMA. So, if you need to refresh your memory, please review the Time for action – computing the simple average section in this chapter. This example will introduce the NumPy fill() function. The fill() function sets the value of an array to a scalar value. The function should be faster than array.flat = scalar or setting the values of the array one-by-one in a loop. Perform the following steps to envelope with the Bollinger Bands:
sma that contains the moving average values, we will loop through all the datasets corresponding to those values. After forming the dataset, calculate the standard deviation. Note that at a certain point, ...Read now
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