Research Signals provides over 500 investment signals covering more than 30,000 securities in 80 countries, supporting security selection and strategy development. The signals are extracted from a variety of data sources, including direct financial, technical, industry-specific, proprietary, and alternative data sources, and are designed to help asset managers expedite return generation goals. Research Signals analyst team focuses on discovering and testing factors that relate to traditional and specialty themes such as value, quality, momentum, short interest, social media sentiment, ESG, cybersecurity, and more.
Mastercard SpendingPulse™ is a suite of macroeconomic and industry data services that provide national and regional measures of the U.S. retail economy. SpendingPulse™ reports are based on the aggregated sales activity of the Mastercard U.S. payments network, coupled with estimates on all other payments forms including cash and check. An industry standard, SpendingPulse generates comprehensive monthly reports far earlier than government or industry sources.
Quantopian Enterprise pairs FactSet’s experience in data aggregation and integration with Quantopian’s industry leading quantitative finance software, offering a sophisticated data analysis and quant workflow environment. The platform provides everything needed to research and develop effective quantitative investment strategies, supporting the workflow end-to-end, including research, alpha factor construction, portfolio optimization, strategy simulation, and evaluation.
The Mastercard Sector Insights™ product suite provides sector-level information and analysis of consumer trends. Expert analysis powered by world-class information assets drive powerful insights that enable fact-based decisions, shaping big-picture strategies and detecting short-term tactical trends.
Thasos ConsumerStreams measures daily customer visitation at physical stores by continuously analyzing the locations of millions of smartphones. Subscribers use the data to predict same store sales (SSS), support long-term investment theses, and cross-validate other sources of data and fundamental information. Data feeds are available for any of the following subsets: Big Box Retailers, Casual Dining, Department Stores, Fast Food, and Food Retail.
Using a combination of natural language processing and machine learning, the Prattle Central Bank Analytics data feed delivers comprehensive, unbiased, quantitative analysis of official communications from 15 central banks globally. Language is parsed and converted to quantitative data that allows investment professionals to forecast market outcomes. Data Frequency: Intraday; Update Frequency: Intraday.
Alexandria’s Global Economic dataset is the application of their proprietary algorithms on macro-economic news. Each article is summarized into a record of structured data which includes the economic country or region, the topic or news event, and the overall sentiment of the article based on their AI analyst’s assessment on how it will affect that economy (positive impact, negative impact or neutral/no impact). Data Frequency: Intraday; Update Frequency: Intraday.