adding 200/100mavg to stop investing during times of duress and doubled investment to increase beta.
adding 200/100mavg to stop investing during times of duress and doubled investment to increase beta.
Nice algo!
I cloned it and slightly tweaked your code. I created one pandas dataframe with a 200 history window and indexed into it to get the 100 day history, 30 day history, and moving averages. This makes the algo run faster, creating less transformations for it to track.
The mavg() simple transformation will not begin returning complete data until the window is full. If you have a 100 day moving average, it will start calculating the mavg on day 101. Conversely, history() warms-up the data and makes all the variables correct on the first bar of the backtest. It will pull the 100-day moving average data prior to the start of your backtest to give more accurate results.
Here's the code change:
# get bar data
prices = history(200, '1d', 'price')
recent_prices = prices[-100:]
c = prices[-30:]
#
# get the moving average from the pandas dataframe
mavg200 = prices.mean()
mavg100 = recent_prices.mean()
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