We also share information about your use of our site with our advertising and analytics partners. See details.
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.
Quantitative Alternative Data
FactSet’s Solvency II solution provides asset managers and asset owners with a consolidated source of data and analytics to maintain compliance with the European Union’s Solvency II capital and quantitative reporting requirements, which regulate all insurance and reinsurance activity in the EU.
Data Management Reference Global
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.
Economics Events People
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.
Sentiment Economics Events
RBICS with Tradenames maps over 170,000 products, services and brands (a.k.a. Tradenames) to the granular sectors of the RBICS taxonomy, resulting in a multi-sector participation map for each company. Whereas RBICS with Revenue offers quantified multi-sector exposure based on a company’s segment disclosures, RBICS with Tradenames provides a comprehensive view of sector participation at the product level.
Global Data Management Reference
The Arabesque S-Ray® Score Layer data feed provides three lenses for analysis on the sustainability of approximately 7,000 of the world’s largest corporations by way of the GC Score, ESG Score and Preferences Filter. The newly added Feature layer data feed serves as the building blocks for the GC and ESG scores and provides even more insight into a company’s sustainability performance on 22 well-defined sustainability topics. Through big data and machine learning, the tool systematically combines over 250 environmental, social and governance (ESG) metrics with news signals from over 50,000 sources across 20 languages, enabling you to make better informed financial decisions. Data Frequency: Daily; Update Frequency: Daily.
ESG Corporate Governance Global
Using a combination of natural language processing and machine learning, the Prattle Equities Analytics Data Feed delivers comprehensive, unbiased, quantitative analysis of corporate earnings calls from nearly 3,000 publicly traded companies in the U.S. Corporate language is parsed and converted to quantitative data that allows investment professionals to forecast market outcomes. Data Frequency: Event; Update Frequency: Daily
Events Transcripts 15+ yrs
FactSet Data Exploration combines the power of the Microsoft Azure cloud with the content of the Open:FactSet Marketplace, offering a streamlined way to explore and evaluate new ideas. Instantly interact with data from the Marketplace in a fully hosted environment that includes industry-standard databases, programming languages (Python and R), and data visualization tools. FactSet Data Exploration eliminates the cost of trialing data locally by providing everything needed to analyze new content with a simple log in.
Alternative Data Quantitative Data Visualization
