Open sourced Python API for Refinitiv (Thomson Reuters) Enterprise Platform.

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies

Portable R for Bloomberg and Refinitiv Eikon

This guide aims to be a full instruction on how to download and merge Refinitiv (formerly Thomson Reuters) Datastream Worldscope data into one comprehensive dataset of yearly stock quoted financial statements.

Download data from Refinitiv Tick History and compute some market microstructure measures

The following examples outline the core capabilities available within Refinitiv's Search API, a powerful search engine covering content such as quotes, instruments, organizations, and many types of assets.

Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.

R wrapper for Refinitiv Eikon API

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

Python wrapper for the Datastream Web Services API (DSWS)

This example project shows how to use the RTSDK Docker images with the VS Code Remote Containers extension to developer inside the container with the VS Code.

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

Practical examples for users of the Refintiv Eikon Data API for Python

Apache Nifi processor for all the refinitiv data interfaces

The following examples outline the core capabilities available within Refinitiv's Search API, a powerful search engine covering content such as quotes, instruments, organizations, and many types of assets.

The script is to systematically retrieve data from Refinitiv Eikon's Python API.

Master Thesis project: End-to-end NLP pipeline for extracting and validating ESG signals from corporate disclosures of Switzerland’s top companies (SMI, 2021–2023). Uses transformer models (ESGBERT, FinBERT, GPT) with a focus on transparent and replicable scoring methods.

An asynchronous feed handler for the Real-time Optimised (RTO) feed from the LSEG's RDP API.