One the world’s leading source of news and information for professional markets – Thomson Reuters – is to offer a new possibility for traders and investors to follow the situation on the cryptocurrency market.
Thomson Reuters Corp has announced the launch of a new version (v3.0) of its MarketPsych Indices that it runs in conjunction with a behavioral economics research firm MarketPsych Data LLC. This new version includes its first sentiment data feed for Bitcoin as well as enhanced market sentiment data for several asset classes, new user capabilities, and additional coverage.
World news sentiment analysis tools named MarketPsych Indices were launched in 2012 and are aimed at analyzing informational materials and social media in real time across more than 2 000 top global news sites and 800 international financial social media sites. Thomson Reuters MarketPsych Indices convert a great volume of professional news and social media content into manageable information flows that can be easily and effectively applied to trading and investing activities.
Over 400 informational websites and social media, including a range of specific to cryptocurrencies ones, were added to the feed with a view to be scanned and monitored in real-time. It will help to understand up-to-date market-moving sentiment and themes.
The third edition of MarketPsych Indices boasts enhanced sentiment coverage of national fixed income securities and stock market indexes for the top 61 world economies and the Eurozone as well as expanded coverage of currencies, countries, and agricultural commodities asset classes.
Monitoring of market chatter and analysis of online sentiment have already proved their popularity among traders of traditional assets. Cryptocurrency traders and investors are also trying to find out market tendencies based on online discussions and media content in order to take investing decisions and evaluate risks. Many experts have already discovered a link between online activity, including thematic Google searches, and the price of the most popular and widely-known cryptocurrencies.
“News and social media are driving the investment and risk management process more than ever with the continuing rise of passive and quant-driven trading,” noted Austin Burkett, global head of Quant and Feeds at Thomson Reuters. “As the financial marketplace rises in complexity, so too does the need to provide our clients with not only the relevant data, but the tools to help them manage and analyze that data. MarketPsych 3.0 helps deliver another layer of analysis and value-add in the investing process.”
Thomson Reuters provides transparent cross-asset insight into both traditional and new asset classes like cryptocurrencies. In 2014, Reuters has integrated Bitcoin price data to its financial desktop platform Eikon. Currently, it presents prices for Bitcoin, Ethereum, Litecoin, Ripple and Bitcoin Cash. Moreover, Eikon contains MVIS indices contributed by Cryptocompare and CBOE as well as Bitcoin futures by CME Group. The company promises to continue working on further development of its platform in order to satisfy the changing needs of its customers.
I’m a content writer and editor with extensive experience creating high-quality content across a range of industries. Currently, I serve as the Editor-in-Chief at Coinspeaker, where I lead content strategy, oversee editorial workflows, and ensure that every piece meets the highest standards. In this role, I collaborate closely with writers, researchers, and industry experts to deliver content that not only informs and educates but also sparks meaningful discussion around innovation.
Much of my work focuses on blockchain, cryptocurrencies, artificial intelligence, and software development, where I bring together editorial expertise, subject knowledge, and leadership experience to shape meaningful conversations about technology and its real-world impact. I’m particularly passionate about exploring how emerging technologies intersect with business, society, and everyday life. Whether I’m writing about decentralized finance, AI applications, or the latest in software development, my goal is always to make complex subjects accessible, relevant, and valuable to readers.
My academic background has played an important role in shaping my approach to content. I studied Intercultural Communications, PR, and Translation at Minsk State Linguistic University, and later pursued a Master’s degree in Economics and Management at the Belarusian State Economic University. The combination of linguistic, communication, and business training has given me the ability to translate complex technical and economic concepts into clear, engaging narratives for diverse audiences.
Over the years, my articles have been featured on a variety of platforms. In addition to contributing to company blogs—primarily for software development agencies—my work has appeared in well-regarded outlets such as SwissCognitive, HackerNoon, Tech Company News, and SmallBizClub, among others.
