Python: disparity in fundamental data

Corey.Stewart
Corey.Stewart LSEG
in Eikon Data APIs

If I use get_data, I'm able to get the current value. If I use get_timeseries, the most recent value is excluded. For example:

data = ek.get_timeseries('DST-STK-T-EIA', fields=['CLOSE','Timestamp'])

vs.

data = ek.get_data('DST-STK-T-EIA', 'CF_LAST')

I've obviously stripped-out dates, intervals, etc. from time_series, but including those yields the same result.

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Best Answer

  • jason.ramchandani01
    jason.ramchandani01 admin
    Answer ✓

    @Corey.Stewart 

    df =ek.get_timeseries(['DST-STK-T-EIA'],['CLOSE'],start_date='2010-03-01',interval='weekly')

    df

    image

    The above is fine - you are using real-time fields for the RIC which is an economic RIC:

    data, err = ek.get_data('DST-STK-T-EIA', ['CF_LAST','CF_DATE'])
    data

    image

    Which will give you the last value but the date is the current date not the date of the last release which was on 25-04-2021.

    I hope this can help.


Answers

  • Corey.Stewart
    Corey.Stewart LSEG

    @jason.ramchandani01. Thank you. There must be some sort of lag for this, because I am now able to use my original get_timeseries code and it displays the most recent data (ignore the end_date; I've reused code throughout my project) :


    inventories = ek.get_timeseries('DST-STK-T-EIA',

    fields=['Close','Timestamp'],

    start_date=(date.today()-timedelta(days=(13*365))).strftime("%Y-%m-%d"),

    end_date=(date.today()+timedelta(days=(5*365))).strftime("%Y-%m-%d"),interval="weekly"

    )

    inventories['Timestamp'] = inventories.index


    Anyway, thanks again for your response.

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