Hello, I would like to access upcoming sovereign credit rating review dates for certain countries (e.g., "Germany – Fitch – Review scheduled for July 11, 2025") via the Eikon Data API (refinitiv.dataplatform.eikon), if possible. Could you help me with it? Thank you for your support. Best regards,
Hi Dev.Teaam , May I request for your assistance on this Client's query please? Thank you. eikon_data_extractor.py (v4)import datetime as dt import pandas as pd import eikon as ek ---------------------------------------------------------------------1. Conexión (usa tu App Key)ek.set_app_key("") ek.set_timeout(120) Si tu…
How can I get a list of RICs/Companies that have earnings announcements as of a particular date using Eikon API / RDP API? Are there other APIs where this is available?
I'm needing to extract time series data to update our correlations, and I have got the invalid printing digits 500 error, can you please assist? I'm basically pulling time series data for the last 3 years - I understand that it might be a lot of data, so I will pull it less frequently, I need my API to be unblocked though.…
Hello everyone, I am a PhD student and I've been using Refinitiv to download firm-level data for my research. I'm currently facing a problem. I downloaded my main dataset around September 2024. In March 2025, I needed to add another variable, so I re-run the same script to download the data through the Python API. The…
for key=/data/ownership/v1/views/fund/holdings, method=GET. Required scopes: {'trapi.data.ownership.adv'} OR {'trapi.demo-access'} Available scopes: {'trapi.alerts.publication.crud', 'trapi.frtb.sentimarization', 'trapi.search.metadata.read', 'trapi.graphql.subscriber.access', 'trapi.user-framework.recently-used.crud',…
I am currently working on a project that requires extracting discussions from different group chats in Eikon Messenger using Python. To proceed, I need the following information and credentials: Eikon Data API AppKey Messenger Bot API credentials (bot_username, bot_password, messenger_appkey) Additionally, I would…
import pandas as pd # Example test data for 5 stocks in the Consumer Discretionary sector df = pd.DataFrame({ "Instrument": ["A", "B", "C", "D", "E"], "TR.TotalNetIncome": [100, 200, 150, -50, 300], # Net income "TR.AverageTotalEquity": [1000, 2000, 1200, 500, 2500] # Equity }) # Calculate ROE (Return on Equity = Net…
I need to know how to properly work with the API so I can use all data and be able to filter through it as in the Screener. Therefor I use python. I need help with binding the API and accessing the necessary Data. Example: average ROE of the consumer Discretionary Sector
It looks like you're new here. Sign in or register to get started.
