This article examines the distribution of companies disclosures across metrics in Refinitiv ESG dataset. It also probes whether higher disclosure rate is associated with better stock price performance or company profitability metrics such as return on assets (ROA) or return on equity (ROE).
This article will demonstrate how to request tick history data on demand on Jupyter Notebook.
This article covers a common ESG (Environmental, Social and Governance) use case: how to regularly and easily retrieve ESG bulk data (scores and measures) from the Elektron Data Platform (EDP) hosted Client File Store (CFS).
In this article, we will build a simple GUI Python example which Consumes MarketByPrice Orderbook data using the Elektron Websocket API
This article shows how to contribute your data to Refinitiv with Elektron WebSocket API, TREP and TRCC.
This example will demonstrate how we can retrieve ESG data from Elektron Data Platform (EDP). We will be using Python with EDP API to request ESG data on the Jupyter Notebook.
Using Open PermID Matching API in Python
The article demonstrates the new Refinitiv Eikon Data API with the focus on the fundamental data retrieval in a Jupyter Notebook environment.
The article demonstrates the use of Thomson Reuters Eikon API with the focus on the news retrieval in a Jupyter Notebook environment.
This article will demonstrate how we can conduct a simple sentiment analysis of news delivered via our new Eikon Data APIs and some really great python packages. Jupyter Notebook is available via github.
Adfin Analytics are only available as part of Eikon Excel add-in and as a COM library. There’s no native Python implementation of Adfin Analytics. This article explains how to use AdfinX Analytics in Python and provides a code sample.
This article illustrates the use case of downloading timeseries data for all option instruments on a given underlying using Thomson Reuters Tick History REST API in Python.
This article explains how to improve TRTH data downloads performance.
After making a request for historical data using TRTH, once the data has been extracted and is ready you can download and save the resulting compressed data file to your local hard disk. In this article, I investigate how to download TRTH compressed data files, and how to optimize the download time.
This article demonstrate how to implement the Thomson Reuters Knowledge Direct (TRKD) API News Headline consumer application with Python and JSON.
This article demonstrate how to implement the Thomson Reuters Knowledge Direct (TRKD) API consumer application with Python and JSON to consume Real Time Quote data.
Symbology conversion using the DSS REST API in Python
This article demonstrates how a user can use Eikon Python API to quickly prototype and plot custom analytics. The example shown here is one of the many use cases, that Quants/Analysts can employ to analyze financial data.
The Thomson Reuters Knowledge Direct (TRKD) API integrates into your website, trading platform, company intranet/extranet, advisory portal and mobile applications to provide up-to-date financial market data, news and analytics and powerful investment tools.
This article demonstrates how to use the Tick History REST API to request Time and Sales data using python.
How to use the Tick History REST API to expand a Chain RIC in Python