just to add i am getting ' time series request failed' getting error eikon code -1
Help on SEDOL to RIC Conversion
Sachin Murthy S K
LSEG
API - EIkon
Language - Python
Environment - Windows
I converted some 5000 stocks SEDOLS into RIC. I got all the RIC. Named it RIC1
ric1=pd.DataFrame(ek.get_symbology(sedols1, from_symbol_type='SEDOL', to_symbol_type=['RIC']))
Than I converted all the RIC into string by the function……. list3=ric1["RIC"].astype(str).tolist().
Print( list3)
All the RICs came on screen.
Than ran the function . & got the below error
ek.get_timeseries('list3',
fields='CLOSE',
start_date='2024-08-21',
end_date='2024-08-22')
Tagged:
0
Best Answer
-
Thank you for reaching out to us.
The code should be like this:
ek.get_timeseries(list3,
fields='CLOSE',
start_date='2024-08-21',
end_date='2024-08-22')The get_timeseries method has limitations. Please check the Eikon Data API Usage and Limits Guideline.
You can use the LSEG Data Library for Python instead. The examples are on GitHub.
0
Answers
-
hello @Jirapongse
Thank you for your reply. The data is too large. how do I get API in batches?
What command can i use better. I used the below command it did not work.
0 -
just to add i am getting ' time series request failed' getting error eikon code -1
0 -
You may need to break an array into chunks. Please check this website.
I suggest to use the LSEG Data Library for Python instead. The examples are on GitHub.
0 -
hello @Jirapongse
Thank you for your reply. The data is too large. how do I get API in batches?
What command can i use better. I used the below command it did not work.
just to add i am getting ' time series request failed' getting error eikon code -1
0 -
HI Jason,
will the below help to break
def batch(iterable:Iterable,max_batch_size:Int):
batch=[]
for element in iterable:
batch.append(element)
if len(batch)>=max_batch_size:
yield batch
batch =[]
if len(batch)>0:
yield batch
0 -
The code could be like this:
instruments = ['EQNR.OL' ,'DNB.OL' ,'NHY.OL' ,...]
def split_instruments(instruments, chunk_size=5):
"""Yield successive chunk_size chunks from instruments."""
for i in range(0, len(instruments), chunk_size):
yield instruments[i:i + chunk_size]
instrument_chunks = list(split_instruments(instruments))
for chunk in instrument_chunks:
data = ek.get_timeseries(chunk, ...)0 -
Hi Jason,
I was able to get output in those batches.. thank you v much.
Output is in a dataframe with close price of say day 25th & day 24th. 3200 stocks,
how would you calculate daily return of stocks from that data frame & get returns as an additional column?
Thanks
R
0 -
The answer is provided in this thread0
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