Hi, I am trying to source FX Forward curves via Python. The first step is obviously to get the constituents of the curve under consideration. If we consider RIC= "ZAROR=FMD", the following is working: from datetime import datetime, date import json import lseg.data as rdp import pandas as pd import ref rom…
df = ld.get_history(universe="FRGOV10YZ=R", fields=['ZERO_YIELD1'], interval='monthly', start=start_date, end=end_date )
Hi guys, I want to pull in Pull In OIS curve for all tenors using an effective date i.e. i want to see what PIS curve across all tenors was last month EOM etc. Also if you have any papers on the identifiers for the python api to pull different curves, CDS, fx?
Hi, I'm trying to use Dataiku to access lseg data. I'd like to confirm the endpoint url, app key, client id and client secret. Please confirm i'm using the correct information: URL: "https://api.refinitiv.com/auth/oauth2/v2/token" app key: app key generated from the API KEY generator app on the workspace desktop app.…
Hi, I have a LSEG Workspace account. I am able to lseg.data in python code when my desktop session is logged in. Can I also use lseg.data without my desktop being logged in by supplying credentials to a platform session? How do I use platform.ldpv2 which i believe is replacing the older the platform.ldp. This requires…
I encountered an error while using the ld.get_data function, but i have open a session by using "ld.open_session( config_name=".//lseg_data_config.json", name="desktop.workspace")"
Hi Dev Team, I'm looking to convert from SQLX to Python. Therefore, I am seeking confirmation that I would be able to accurately recreate the two Python scripts (examples) listed below through an API key, with the data from Workspace.…
Hello everyone. I would like to retrieve all existing bonds by country. For example, I would like to obtain the ISINs, RICs, maturities, and issue dates for France.
We aim to collect monthly financial data from January 2010 to December 2023 for approximately 8,000 ISINs for the following three variables: Total Number of Shares Outstanding Price-to-EBITDA per Share Price-to-Book per Share
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