Should I use this formula
ek.get_timeseries(['TD.TO'], fields=['CLOSE'], corax='adjusted', start_date='2022-01-01', end_date='2022-11-09', interval='daily')
or the formula with rd.get_gistory for the same information?
What do you recommend?
If you recommend rd.get_history could you please provide the most correct way of implementing it on my particular case?
Could you please explain more corax='adjusted' parameter or send me the documentation where I could read it?
Thank you!
I would recommend you utilize the rd.get_history() call. Looking at the capabilities, you can specify adjustments at a more granular level as well as retrieve more fields within the response. For example:
rd.get_history(universe='TD.TO', interval='1D',
start='2022-01-01', end='2022-11-09',
adjustments=Adjustments.EXCHANGE_CORRECTION)
I would also recommend you review the 'adjustments' within the historical reference guide defined within the RDP Playground. If you still require more details, you should open a ticket within the Helpdesk - they will bring in a historical content expert to address further details around adjustments. If you are accessing this content within the desktop (Eikon or Workspace), you can press F1 - Help & Support and ask your question there.
I think you forgot to write the parameter - close price as it was written in the question. Could you please show the complete formula?
Thanks!
I did not forget to include the 'CLOSE' parameter because the field doesn't exist. What I showed above is a way to see ALL fields associated with 1-day prices for TD.TO. Looking at the result, you can see there are fields called: 'ALT_CLOSE' and 'TRDPRC_1'. I don't know the difference between these fields, but I believe either one is the field you are after. I suggested to contact the helpdesk as they would have a much better understanding of the meaning behind these fields.
I would also recommend you review the 'adjustments' within the historical reference guide defined within the RDP Playground
Could you please show where exactly on the page I could find that @nick.zincone ?
I just clicked on that link above and it brought me to the documentation. If you are prompted to login, login first then try clicking the link again.
