Bulk download for static data (string) based on an input list
How can I do a bulk download for the list of Ric's in order to improve the time performance?
I am currently downloading underlying Ric's for a list of Ric's defined as "unique_col1":
combined_data = pd.DataFrame()
#Loop through the instruments and fetch data for each
for instrument in unique_col1:
data, err = eikon.get_data(
instrument,
fields=['TR.DRUnderlyingQuoteRic'])
# Check for errors
# if err is not None:
# print(f"Error for {instrument}: {err}")
# else:
df = pd.DataFrame(data)
df['Instrument'] = instrument # Add a column to identify the instrument
combined_data = combined_data.append(df, ignore_index=True)
- I get a "Backend error. 400 bad request"
- When I do it with limitations it takes too long. I want to run it for 3000 Ric and a list of 200 Ric takes already 4 minutes
Best Answer
-
Hi @Fatih Yazgan,
Programmatic access to data within Eikon is provided for an individual use only, and bulk download of data is outside the scope of what Eikon should be used for. Please read the limitations and guidelines of this service here.
You can pass a small list of instruments in the get_data API call, instead of an individual instrument.
1
Answers
-
Thank you for your answer! Could you let me know what would be the better option to get the data instead?
0 -
Some of the products that provide bulk data service are Refinitiv Tick History/DSS and Refinitiv Data Platform. Please speak with your Refinitiv account manager to learn more about these.
0
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