Getting daily historical data at a fixed timestamp

Hi,

Does anyone know how to get the bid/ask at a specific time every day? Eg. ESc1 at 6:00am UTC time for the past 2 years. There has to be a better way than to get hourly data and filter it. I am currently using the refinitiv data library in python.

Thanks

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historical

time-series

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Accepted answers

jonathan.legrand

Hi @D ,

You mentioned that the issue with using start and end arguments in the rd function is that it requires pulling unnecessary data.

If you only want one result, you can choose the count:

import refinitiv.data as rd
rd.open_session()
IntradayTimeSeriesDf = rd.get_history(
    universe=['ESc1'],
    fields=['BID'],
    interval="1min",  # The consolidation interval. Supported intervals are: tick, tas, taq, minute, 1min, 5min, 10min, 30min, 60min, hourly, 1h, daily, 1d, 1D, 7D, 7d, weekly, 1W, monthly, 1M, quarterly, 3M, 6M, yearly, 1Y.
    start="2022-05-06T06:00:00",
    end="2022-05-06T06:01:00",
    count=1
)
IntradayTimeSeriesDf

All comments

jonathan.legrand

Hi @D,

I'd advise looking into the RD library, as exemplified here:

https://github.com/Refinitiv-API-Samples/Example.DataLibrary.Python/blob/main/Examples/2-Content/2.01-HistoricalPricing/EX-2.01.01-HistoricalPricing.ipynb

e.g.:

import refinitiv.data as rd
rd.open_session()
IntradayTimeSeriesDf = rd.get_history(
    universe=['ESc1'],
    fields=['TRDPRC_1'],
    interval="1min",  # The consolidation interval. Supported intervals are: tick, tas, taq, minute, 1min, 5min, 10min, 30min, 60min, hourly, 1h, daily, 1d, 1D, 7D, 7d, weekly, 1W, monthly, 1M, quarterly, 3M, 6M, yearly, 1Y.
    start="2022-05-11T13:00:00",
    end="2022-05-11T13:30:00")
IntradayTimeSeriesDf

If you're looking for the data field you need too, please use the DIB:

https://developers.refinitiv.com/en/video-catalog/data-item-browser

Thanks for the response. The issue with this is that it requires pulling unnecessary data. I only need 1 exact point in time for each day which I couldn’t find an example for.

jonathan.legrand

Hi @D ,

You mentioned that the issue with using start and end arguments in the rd function is that it requires pulling unnecessary data.

If you only want one result, you can choose the count:

import refinitiv.data as rd
rd.open_session()
IntradayTimeSeriesDf = rd.get_history(
    universe=['ESc1'],
    fields=['BID'],
    interval="1min",  # The consolidation interval. Supported intervals are: tick, tas, taq, minute, 1min, 5min, 10min, 30min, 60min, hourly, 1h, daily, 1d, 1D, 7D, 7d, weekly, 1W, monthly, 1M, quarterly, 3M, 6M, yearly, 1Y.
    start="2022-05-06T06:00:00",
    end="2022-05-06T06:01:00",
    count=1
)
IntradayTimeSeriesDf

Again, this is inefficient because I would have to call the API 250 times to get 1 years worth of data.

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