lseg-api-samples Goto Github PK

Name: LSEG API Samples

Type: Organization

Bio: Articles, tutorials and code samples for LSEG/Refinitiv API's.

LSEG API Samples's Projects

example.websocketapi.posting.trcc

This example shows how to writing an application to contribute your data to Refinitiv via RCC using WebSocket API through Refinitiv Realtime Market Data System.

example.websocketapi.python.mrn

This example shows how to writing the WebSocket API application (in Python) to subscribe to Machine Readable News (MRN) from Refinitiv Real-Time Platform.

example.websocketapi.python.mrn.rto

A Python WebSocket API example that Consumes MRN STORY data from Refinitiv Real-Time Optimised using Service Discovery

example.websocketapi.python.mrn.trna

This project shows how to write application to consume Refinitiv News Analytics (TRNA) data from Refinitiv Real-Time via Machine Readable News (MRN) domain.

example.websocketapi.python.testclient

Refinitiv WebSocket API Example that facilitates the consumption of realtime streaming data from Refinitiv Real-Time Optimized service ('ERT in Cloud') as well as Refinitiv Real-Time Distribution System ('TREP')

example.websocketapi.python.warmstandby

Warm Standby example using RTO Cloud

example.websocketapi.realtimenewsstreamingoptimizedwealth.python

examples.datalibrary.python.advancedusecases

examples.datalibrary.python.commoditiesresearch

examples.datalibrary.python.equityresearch

examples.datalibrary.python.quantitativeanalytics

examples.rd.python.codebookwebinarcourse2

This is a repository for examples used in a CodeBook Course Webinar's 2nd session in April 2022 organised by Stuart Duncan. As it is only Session 2, only basic concepts of Python and CodeBook (i.e.: Jupyter Lab) are demonstrated here, however, the included notebook does go quite far into what one can do in CodeBook, so don't hesitate to try and run it yourself to the end, as I believe we will not be able to go through it all in the Training session / webinar on the day.

examples.rd.python.codebookwebinarcourse4

This is a repository for examples used in a CodeBook Course Webinar's 4th session in April 2022, organised by Stuart Duncan. In this session, we quickly cover CodeBook (i.e.: Jupyter Lab) and Refinitiv Data Library basics in Python before heading to the important subject: Using News data in finance with Machine Learning methods whereby Haykaz Aramyan will present his great work on Natural Language Processing and Sentiment Analysis.