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MarkJoseph.Canada avatar image
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NAs at the beginning of this query

I get a bunch of NAs at the beginning of this query rics=[SMCI.O,HRMS.PA,TREX.K, 0700.HK] data=ek.get_timeseries(rics,start_date='2017-01-01',fields='CLOSE',interval='daily') data.head()

Tried to change the formula to below but same error

rics=['GE','AAPL.O','.RUT','.MOVE','EUR=','XAU=','DE10YT=RR'] data=ek.get_timeseries(rics,fields='CLOSE',start_date='2021-01-01',end_date='2023-12-29') data.head()

Same with

import eikon as ek symbols=['US86800U1043','FR0000052292','US89531P1057','KYG875721634'] rics=ek.get_symbology(symbols,from_symbol_type='ISIN',to_symbol_type='RIC') #DataFrame rics=list(rics.RIC.values)

data=ek.get_timeseries(rics,start_date='2017-01-01',fields='CLOSE',interval='daily') data.head()


Kindly advise. Thanks.

eikoneikon-data-apiworkspace#technologycodebookspyder
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wasin.w avatar image   wasin.w

Hello @MarkJoseph.Canada

Thank you for your participation in the forum. Is the reply below satisfactory in resolving your query?


If so please can you click the 'Accept' text next to the appropriate reply? This will guide all community members who have a similar question.

Thanks,


AHS


raksina.samasiri avatar image   raksina.samasiri

Please be informed that a reply has been verified as correct in answering the question, and has been marked as such.

Thanks,
AHS

1 Answer

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jason.ramchandani01 avatar image
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@MarkJoseph.Canada Thanks for your question and sorry to hear about your issue. I can indeed replicate the issue with the following call
1709199513672.png

However, as a quick fix for you in the short term - you can separate them and this returns the data as it should:

rics=['GE','AAPL.O','.RUT'] 
data=ek.get_timeseries(rics,['CLOSE'],start_date='2021-01-01',end_date='2023-12-29')

data.head()
rics=['EUR=','XAU=','DE10YT=RR']  
data=ek.get_timeseries(rics,['CLOSE'],start_date='2021-01-01',end_date='2023-12-29') 

data.head()
rics=['.MOVE'] 
data=ek.get_timeseries(rics,start_date='2021-01-01',end_date='2023-12-29') 
data.head()

There must be an issue with the collation of different asset classes somehow. I will speak to the appropriate library team and see what is happening and get back to you. I hope this can help.

You can also use the more recent RD libraries get_history function - but as you have different assets not all of which have a closing price eg XAU= has fixing, EUR= will have regional closes APAC close, EMEA Close, US close.

Please see the following call which returns all fields for each instrument so you discover which minimum set of fields you need:

rd.get_history(universe=['GE','AAPL.O','.RUT','EUR=','XAU=','DE10YT=RR','.MOVE'], interval="1D",start = '2021-01-01', end = '2023-12-29')


I hope this can help.


1709199513672.png (145.0 KiB)
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