This article provides an example of how Thomson Reuters Eikon can be used alongside Matlab to retrieve time series of financial instruments.
Working with Thomson Reuters real-time data, you probably came across a very specific type of instruments called Chains or Chain Records. If you never heard about these, well… soon or later you will probably have to deal with them.
This is the second part of the Decoding chains article. In this part I present two Java example applications that demonstrate the different concepts explained in Decoding Chains - Part 1.
Elektron Message API is designed as an ease of use API which provides one of the easiest entry points into consuming and publishing real-time data. How to configure it?
Using the power of Thomson Reuters Intelligent Tagging (TRIT) to capture rich, semantic metadata, researchers and analysts can now easily take advantage of these capabilities when authoring and sending emails within Outlook.
Expanding an EMA Java’s Consumer example to provide web service: SOAP Using Java's standard to leverage a basic EMA Java's Consumer example to provide a SOAP web service capability.
In this article we present a Quote Assist App built using App Studio HTML 5 SDK. We will demonstrate how to use JET toolkit to achieve seamless integration with Thomson Reuters Eikon.
This article is intended for Java software users who are developing RFA Java Consumer applications. It is going to explain how to verify, if the application is out of memory, due to slow processing data events/messages and the ways to solve the problem.
This article describes how downstream applications discover the health of Elektron Real Time Infrastructure, through the consumption of SPS (Service Provider Status) messages provided by the Elektron Real Time CHE (Collection Head End).
This article demonstrates how we can use the DataScope Select .NET SDK to extract all associated securities for a list of legal entities.
For some instruments, suffix of RIC indicates the exchange where it is traded, e.g. HSBA.L (.L = LSE - London Stock Exchange), HBC.N (.N = NYSE - New York Stock Exchange). However, there are some instruments without this suffix. How can an app know on which exchange they are listed?
This article is intended as a developer supplement to Elektron Connect Installation Guide.
This article explains how to develop RFA Java application to monitor the health of services. The general techniques could be applied to TREP real-time streaming APIs e.g. RFA.NET/C+, ETA C+/Java.
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 explains how to request particular fields of an item via RFA. The general techniques could be applied to any of real-time streaming APIs i.e. ETA C+/Java, EMA C++/Java.
The following article provides developers a method to use TRTH REST API to retrieve page-based data which mainly used for the Speed Guides or including other page RICs.
This article explains streaming Level 2 data and how to process and manage this using EMA C++
How to use the App Studio - Web SDK (JET 2) : Symbology Plug-in
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 article provides a brief introduction to DataScope Select and its RESTful API.
The Elektron Message API is a high level application programming interface for consuming and publishing real-time streaming data from and to Thomson Reuters Enterprise Platform.
The purpose of this article is to introduce the Interactive Source Blending feature available in TREP 3.0 or above. It also demonstrates how to setup this feature and test it with EMA C++ examples.
This article examines the Thomson Reuters Machine Readable News offering, discussing its features, the most common use cases and provides specific details of implementation from the standpoint of an application developer.
Introduction to the "Thomson Reuters API Samples" Github group
ISIN to RIC conversion with the TRTH (Thomson Reuters Tick History) REST API.
ISIN to RIC conversion with the DSS (DataScope Select) REST API.
Learn how to create auto-expiring records on TREP.
MRN & N2_UBMS Comparison and Migration Guide
MiFID II - Extending the precision of timestamps supported on Elektron Real Time.
This article discusses the capability for existing TREP clients to transmit pre-trade FIX messages to registered Approved Publication Arrangements (APA) to satisfy MIFID II regulatory requirements.
Publishing content from internal databases to Thomson Reuters Enterprise Platform (TREP)
Symbology conversion using the DSS REST API in Python
Using FID 259 to identify your market data records
Using Tick History REST API in R language - Part 1