Data allocation for RICs with missing data using get_history function

Hi Team,

I just wanted to check if there is any data consumed when using the function ld.get_history on RICs that are invalid or that I do not have access with as it will return N/As for such RICs. I know that there is a daily call limit of 5GB and I am a bit worried that pulling data for invalid RICs will cause unnecessary data allocation to the available limit.

df = ld.get_history(

        universe=['EUR=', 'INVALID.RIC' , 'JPY='],    

        interval='hourly',
 start='2026-01-21T09:00:00',

        end='2026-01-21T17:00:00'

)

If it is, is there a method to identify invalid RICs and RICs I have no data permission with (on the get_history function) to be able to limit my query to the function? Thanks

Find more posts tagged with

historical

price-history

#technology

lseg-data-library

lseg-data

Accepted answers

All comments

Jirapongse

@Julz22

Thank you for reaching out to us.

You can use the Search - Lookup to identify invalid RICs.

Otherwise, please check the answer on this discussion.

Julz22

Noted on the asynchronous approach. On the other note, if I have an ISIN and I wanted to get all associated RICs, how will I choose only those RICs that are 'excluded'? I need them to be removed in the list before I run historical data retrieval. What is the dynamic python solution for this?

Jirapongse

@Julz22

What do you mean by 'excluded'?

If this is related to permissions, as far as I know, there are no endpoints available for verifying access permissions with RICs.

Julz22

As shown on the screenshot (this is taken using All Quotes tab), there is an Excluded column that shows commentary on these locked RICs. Is there a way for me to retrieve that Excluded column directly using any function from lseg package (perhaps through get_data() function or some sort)? . These would greatly help in limiting the RICs before using them in get_history() function.

Jirapongse

@Julz22

Unfortunately, as far as I know, there are no endpoints available for verifying access permissions with RICs.

You need to make a call to check for the permission. For example:

try:
    response = historical_pricing.summaries.Definition(
       universe='VOWG.DE',
       interval='P1D',
       ).get_data()
except ld.errors.LDError as e:
    print("Error code :", e.code)
    print("Error message:", e.message)

Otherwise, you may submit this as feedback to the product team.

Julz22

Looking at the UI, it seems like disabled/locked RICs are Excluded Prices, which can vary from being Stale, No Permission, No Price/Yield, Outside tolerance as shown on the Excluded column. Is there a way for me to identify dynamically which RICs are Excluded?

The above solution would only work if I have no permission at all on the RIC. But in some case like GBTSY16=PMID, I was able to retrieve historical data.

Jirapongse

@Julz22

That application may implement its own logic to determine which items are excluded.

To understand the exclusion logic, you may need to contact the Workspace Support team through LSEG Support.

Typically, the library is used solely to retrieve data for the specified RICs and fields; any exclusion logic should be handled at the application level rather than within the library itself.

EXPLORE OUR SITES