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how to get open/close price and volume for 5 min bars?

how to get open/close price and volume for 5 min bars?

4 responses

You can use history to get a trailing window of data and then chunk them into 5 min bars using resample.

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Hi Alisa,

The numpy resample function (resample) uses the Fourier method, that means the result from resample will not match the exact open, high, low, close of the real 5 min data.

It would be useful to have a function for these conversions that everyone can to match the real values.

Thanks,
Carlos

can you possibly use the index of the open at 5 min and the last close?
window_o = data.history(stock, 'open', 5, '1m')
window_c = data.history(stock, 'close', 5, '1m')
open = window_o[-1]
close = window_c[-5]

maybe you can iterate through a range to make a new window list that is the open and close 5min apart.
i dont know, i hope this idea helps,

Tyler

Hi Tyler,

Thanks for your reply, doing iteration doesn't seem very efficient. Also, when querying the 1m data, there is no guaranteed that the returned data is 5min aligned.

I would think market data providers already support all these resolutions, maybe we just need Quantopian folks adding the hooks for us to be able to query more frequencies 3min, 5min, etc other than just 1min and daily?

Thanks,
Carlos