Procedure to set up automated backtests in notebooks.
Disclaimer: The original code was cloned from Tristan Rhode
https://www.quantopian.com/posts/finding-the-best-moving-averages-short-long-for-cross-over-trading-strategy
Procedure to set up automated backtests in notebooks.
Disclaimer: The original code was cloned from Tristan Rhode
https://www.quantopian.com/posts/finding-the-best-moving-averages-short-long-for-cross-over-trading-strategy
Wonderful!
I use your notebook and try to use the TALIB instead, but the output of Sharp is NAN. Quite strange.
Hi Thomas,
The problem was in these lines:
if context.i < long_mavg_days:
return
long_mavg_days
is a list set further down in the notebook. I changed it to long_mavg_day
and it seems to work now.
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@Jamie:
I cloned your notebook but got error as follow:
NameError: global name 'long_mavg_day' is not defined
But your analyse gave me a hint. So I do the following change:
...
short_mavg_dayss = [days for days in np.arange(10, 30, 10)]
long_mavg_dayss = [days for days in np.arange(20, 50, 10)]
...
And now it works.
Many thanks!