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Re: Converting a 'day based' simulation to 'minute based sim'

Hi,

So, I have a simulation I want to enter in the contest. I developed it to trade weekly and use data in the 'day mode'. What do I need to do when I convert to minutes? I am using things like moving averages - do I need to convert those by multiplying each value by 60*6.5 (for the number of minutes per trading day)?

Do I need to convert any other values?

The system crashes every time I try to use the minute data (which I think is related to a 300 day MA I am using).

I also have VIX data imported (daily). Can this work with a minute based sim?

I am very new to python and Quantopian, but have been trading about 8 years. Thanks in advance.

I get a time out error when I run it, and it may relate to this thread:
(https://www.quantopian.com/posts/optimization-issue-too-much-time-are-spent-in-handle-call#55d9c54e09a2fe18400003b3)

However, I only need it to trade weekly. And even if it can't be used in the contest, I would be interested in trading it myself. So... any thoughts or comments very welcome. Thanks.

Best,
Tom

1 response

Great to see you're readying an algo for the contest! In general, I strongly recommend to always backtest your work in minute mode. This is a better simulation of live trading (take a look here for a more detailed explanation).

How is your moving average created? Do you use the built-in mavg function, data[stock].mavg(300)? Or do you use history and calculate your own moving average?

Either way, the good news is it should be an easy fix! Here is the general format, and you can run this in a minute-mode backtest:

prices = data[stock].mavg(300)   # calculates a 300 day moving average using daily data

prices = history(300, '1d', 'price')[stock].mean()  

The above variables are identical and calculate the same value. The second version is a faster query and will run faster in the algo. So if you're getting execution timeouts, try using the second style.

If you want the algo to trade weekly, use schedule_function to setup your trading time. If you're still stuck, send us an email to [email protected] and we can help debug the code. Then you can submit it to the contest.

Cheers,
Alisa

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