Your smart investment decisions require the highest quality data and powerful analytical tools. Thomson Reuters brings this all together to support your quantitative research and analysis.
MarketQA™
Gain control with a unique tool for quantitative investors. With a single identifier and access to rich content and deep history, MarketQA is the solution to your data management challenges. We deliver high quality, timely data with expansive global coverage, so you can spend less time managing data and more time generating alpha.
Quality Content
Your investment process is only as good as the data behind it. Thomson Reuters offers industry leading content from estimates and fundamentals to economics. With powerful brands like I/B/E/S, First Call, Worldscope, Reuters Fundamentals and Datastream, you start with a clear advantage. In addition to the premier market data from Thomson Reuters, you can easily integrate your own proprietary and 3rd party content into MarketQA.
Fundamentals Point in Time
Built on the Reuters Fundamentals and Worldscope databases, Point in Time supports historical analysis and backtesting by representing financial data the way it appeared. With market-leading global coverage, Point in Time reveals accurate, unbiased information that was available to the market and could have affected a price movement, thus triggering an investor’s buy or sell decision. Integrated into MarketQA, Point in Time allows you to backtest without bias.
FasTick™
Perform detailed analysis of real-time and historical tick data. FasTick is our high-frequency tick data capture and storage tool paired with highly compressed and optimized historical data. Fully integrated with MarketQA, FasTick provides direct access to multiple pricing, fundamental and forecast data sets.
StarMine Quantitative Models
The StarMine Quantitative Models provides investors with robust stock selection factors that can be used on a standalone basis, or as an input into a multi-factor model. These models exhibit strong price performance across all global regions, market-cap ranges, sectors, and historical time periods.
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