I want to extract aggregated ownership data for companies using the Python API. Therefore, I request the variabe TR.CategoryOwnershipPct in combination with the Parameter 'StatType': '7'. This approach works for non-UK companies as Apple or Volkswagen. When applying it to companies in the UK as LSEG.L (see screenshots) or…
Needs to understand the article he saw regarding Account authorization V1 to V2 , checking where he can get th Account authorization V1 to V2 migration cheat sheet https://developers.lseg.com/en/article-catalog/article/account-authorization-v1-to-v2-migration-cheat-sheet our client wanted to understand the requirements in…
Client is in the process of implementing a new ERP system, Pronto Software. https://www.pronto.net She would like to use an API they can use to load the FX rate to their system. Kindly advise if this can be done through Workspace.
Do you have an ETA for pandas 3.x support in the lseg-data Python package? Is there a roadmap we can follow?
The client is building a Power BI commodity pricing dashboard and wants to integrate mining company stock prices via APIs. They require support in linking a list of mining company stock prices within WS to their Power BI dashboard. The client needs to connect the WS Monitor to their Power BI dashboard, retrieve currency…
I tried requesting the data using lseg.data, but I am still unable to retrieve it for certain identifiers. Attached, you will find my test script along with its output. As you can see, the issue persists for the following months: ✅ TFMBMFVJ5^2 1349 2019-12-31 2025-03-28 ❌ TFMBMFVK5^2 Unable to resolve all requested…
Hello I want to export all option contract information of the future CTZ6. I actually see two maturities related. However I use the below codes to extract I can only have one code exported. ld.get_data('0#1CTZ6+', fields= ['PUTCALLIND', 'STRIKE_PRC', 'CF_BID', 'CF_ASK', 'CF_CLOSE', 'IMP_VOLT', 'CF_VOLUME','EXPIR_DATE']）
start = time.time() mixed = rd.content.pricing.Definition( ['LLY.N','JPM.N','ZVIA.K','JBSS.O','AA', 'BIOb'], ).get_stream() mixed.open() snapshot = mixed.get_snapshot() end = time.time() print(f"Execution time: {end - start:.4f} seconds") it has 400 columns, and how can i search for the exact meaning of each column?
The client is seeking guidance on how to download end‑of‑day pricing data for portfolios of Nairobi Securities Exchange (NSE) stocks and bonds from LSEG for analytical purposes. While they are currently able to retrieve this data using Excel, they would like assistance with executing the same process programmatically using…
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