TR.FreeFloat call timing out

I'm trying to query data for about 500 RICs, but here are the first 5: 'A.N', 'AABA.OQ^J19', 'AAL.OQ', 'AAP.N', 'AAPL.OQ'
if i use this formula:
ld.get_history(
universe=ok_tickers,
fields=['TR.FreeFloat'],
start=s, end=e,
interval="1D"
),
the query times out as it takes too long to queryhence i am trying to look for an alternative using historical_pricing.summaries.Definition(), but i'm not sure how to find the fiels
Best Answer
-
Thank you for reaching out to us.
Yes, requests for a lot of data from the fundamental and reference endpoints (TR.xxx fields) may time out.
You may increase the http.request-timeout value via the configuration file (ld-data.config.json) or coding. For example: The configuration is:
{
"http": {
"request-timeout": 60
},
"logs": {
...
}
...
}The sample code is:
ld.get_config()["http.request-timeout"] = 60
Otherwise, you may split it to multiple requests.
The historical_pricing.summaries.Definition endpoint is used to retrieve real-time historical data. You can ignore the fields parameter to retrieve all available fields
0
Answers
-
Hello @Alex_Conti1
You may need to split 500 RICs list into smaller lists instead.
There is parallel requests example that utilizes Python here.
module to send concurrent request messages with the library. The example is available0
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