How to get past data, or history from specific field

Hello
In the project we are working on, historical data from the field values are needed.
Can you tell me how to retrieve historical data for the field that I mentioned below?

HST_CLOSE

PRIMACT_1

TRDPRC_1

ASK

PRV_LAST

OFF_CLOSE

Fields that start with TR. I know how to get past data
ex

df, err = ek.get_data(

instruments = ['CMZN0'],

fields = ['TR.OFFICIALASKPRICE.date(Frq=D,SDate=0,EDate=-9)']

I don't know what additional parameters I should input for the following.
Can you give me a good inspiration?

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historical

eikon-data-api

Accepted answers

jason.ramchandani01

@jwlee08 So those are realtime fields they do not have a timeseries history using get_data. We have a new library called Refinitiv Data (RD) Library. You can pip install this:

pip install refinitiv-data

then follow this guide to configure your desktop password.

Once you have done this (to use this outside of codebook) or you can directly use the get_history examples by launching the CodeBook app - Here I used Access__Get_History.ipynb:

import refinitiv.data as rd

rd.open_session('your default workspace or eikon session name from your config file')

rd.get_history(universe="CMZN0", interval="1D")

This will give you all the fields available from our historical pricing datamodel which differs by asset class. I hope this can help.

All comments

jason.ramchandani01

@jwlee08 So those are realtime fields they do not have a timeseries history using get_data. We have a new library called Refinitiv Data (RD) Library. You can pip install this:

pip install refinitiv-data

then follow this guide to configure your desktop password.

Once you have done this (to use this outside of codebook) or you can directly use the get_history examples by launching the CodeBook app - Here I used Access__Get_History.ipynb:

import refinitiv.data as rd

rd.open_session('your default workspace or eikon session name from your config file')

rd.get_history(universe="CMZN0", interval="1D")

This will give you all the fields available from our historical pricing datamodel which differs by asset class. I hope this can help.

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