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SMARTER DATA, CONNECTED

Expand your insight with the Open:FactSet Marketplace, the destination for best-in-class data and solutions that give investment professionals an edge.

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Discover Data First

From ESG to Satellite and everything in between, the Open:FactSet Marketplace is your home for data that gives you an edge.

We work with data providers to review and integrate data before making it available so you can seamlessly link our data feeds to your models, systems, and proprietary datasets, freeing your team to generate ideas.

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data pipeline

Open data: Open possibilities

Discover pre-linked, harmonized 3rd party data from the most impactful providers alongside FactSet’s leading data feeds. Generate fresh ideas by building unique data combinations ahead of the market with instant access to new tools and cloud-based research and production environments.

Upgrade your
data pipeline

Open data: Open possibilities

Discover pre-linked, harmonized 3rd party data from the most impactful providers alongside FactSet’s leading data feeds. Generate fresh ideas by building unique data combinations ahead of the market with instant access to new tools and cloud-based research and production environments.

What's New

Quantopian Enterprise

Solution by Quantopian

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 Solvency II

Data Feed by FactSet

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

Prattle Central Bank Analytics

Data Feed by Prattle

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

Recently Updated

Alexandria Text Analytics - Economic

Data Feed by Alexandria Technology

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

FactSet RBICS with Tradenames

Data Feed by FactSet

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

Recently Updated

Arabesque S-Ray

Data Feed by Arabesque

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

Prattle Equities Analytics

Data Feed by Prattle

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

Data Exploration

Solution by FactSet

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

Insights

The Future of Quantitative Analysis: Data Sources

In this series FactSet has partnered with Coleman Parkes to survey Heads/Directors/VPs of Quantitative Analysis, Senior Quantitative Analysts, Data Scientists, and Chief Data Officers on the future of quantitative analytics.

ESG and the Evolution of the Research Process

As more and more corporate sustainability information flows into the market (and as its material value is better understood), machine learning and big data are enabling a new, quantitative approach to ESG.

Using Non-Optimized ESG Data and Metrics to Identify and Assess Investment and Portfolio Risks

By integrating quantifiable and comparable ESG risk metrics into existing models, investors can run portfolio simulation to obtain a more comprehensive view of potential investment.

At a Glance: Prattle Central Bank Analytics DataFeed

The Prattle Central Bank DataFeed uses a combination of natural language processing and machine learning to deliver unbiased, quantitative analysis of official communications from 15 central banks around the world.