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How to LSEG API code to reduce the processing time for extracting ownership data ac
Client is experiencing slowness when using the Python LSEG API, with significantly longer processing times. We would appreciate your guidance on how to speed up the process. Attached is their current approach (exported from Jupyter Notebook as a .txt file since the notebook cannot be attached directly). The existing…
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Access Field Denied
User is trying to retrieve data via Jupyter but gets an error message. The same data can successfully be pulled via Excel. Please check. thanks! see attached Excel file for reference and below errors via Jupyter.universe: AU3CB0235554 fields = ["TR.ISIN", "TR.FiIssueDate", "TR.FIMaturityDate", "TR.FiOriginalAmountIssued",…
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How to retrieve order imbalance data into close each day
Hi team posting on behalf of client: Query: I would like to scan for Order Imbalances into the close each day.. If there was a way to do this in Workspace, that would be great - but I have a feeling I will need to use the Workspace API and write a python script. I prefer to use Workspace on Web, so may have to use LSEG…
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Taiwan Stocks subject to uptick rule
hi , We are trying to source information about Taiwan stocks which are subject to up tick rule when selling short. IS that information available via LSEG data feed ? we are getting similar information for Japan Stocks via FID(6577) SH_SAL_RES.
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Downloading data
I have obtained the time-series I need in CODEBK, but I now need to downlaod them offline. Even though I specify the path and the code does not return erros, the pkl file is not available in the destination folder. Are there blocks to download or is there a different way to obtain them locally for some ad hoc analysis on…
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Historical data total liabilities S&P 500
Hi, I try to get "total liabillities" data through the report screen as you can see on the picture. I need to get total liabilities from FY0 - FY-24 (so last 25 years). However I get NA for all cells. I click on time series and then put the last 25 years there. What do I do wrong?
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ld.news.get_headlines
I was using python library to fetch news by ld.news.get_headlines(query='"Elon Musk" AND Language:LEN AND Source:"X"', count=10). However it returned LDError: Error code 400 | Query cannot return any result. Since I was trying to retrieve social media posts (explicitly X posts), is there a function to do it?
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Questions on Automated Price Retrieval and License Usage in Cloud Environments
Query; -I would like to automatically retrieve prices to run end‑of‑day PnL calculations. -My Python environment will be running on a cloud platform (likely Databricks). -Is there any licensing issue or limitation with running this process in the cloud instead of on my local PC?
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Is the SDR FX Options from SDR View page available in API?
Client is looking at FX Option in SDR View and wants to incorporate this to API. He is is not looking for rates, but he is looking for FX Option in SDR View. Is this possible?
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Refinitiv cloud API entitlement
Is there LSEG Data Platform / Refinitiv cloud API entitlement for server-side applications, independent of Workspace desktop session? and more specifically: Can my backend running outside Workspace authenticate and call LSEG data APIs without relying on the local desktop proxy on port 9000?
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Does the lseg-data Python library provide any way to download IPO Prospectus data?
We are interested in pulling prospectus data for companies that are about to go public. We found some of the data under Equity New Issues Deals through the Deal Screener app in Workspace. Is there any way to pull this data programmatically through the lseg-data Python library?
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GOVSRCH saved template via Refinitv Python code
I have saved quite a few screens on GOVSRCH. The question is how this can be automated so that I get the same output as saved search. I looked into the below code mentioned earlier. However, I have 2 questions: How will it identify which saved search I am calling? Getting this error "No default session created yet. Please…
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How to retrieve historic OPEN/HIGH/LOW/CLOSE adjusted for dividends and corporate actions in Python?
I am struggling to find the way to get in Python historic OPEN/HIGH/LOW/CLOSE or at least CLOSE for single stocks, adjusted for dividends and other corporate actions. Can you tell me what is the right field? I can’t find it in DIB.
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FID 8116 Not showing in Workspace directly
Is it possible that the field IV_EXCH (FID 8116) is not appearing, in the RTO SDK or Workspace because we are using an older SDK version that may not support this field?
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How can I retrieve historical values for FID 9940 for Q‑suffix RICs using Python?
I am trying to extract historical data for FID 9940 for several Q‑suffix RICs. I am using the lseg-data Python library and the get_history() method, but it does not return any data for this field on historical dates. From what I understand, FID 9940 may be a real‑time or snapshot-only field, but I need to confirm whether…
