About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet and Quantopian Partner to Deliver Enterprise Data Analysis Platform for Quants

Subscribe to our newsletter

FactSet and Quantopian, a crowd sourced asset manager and provider of an open source quantitative finance platform, have formed a strategic relationship to deliver Quantopian Enterprise, a data analysis solution that allows quants to research, test and simulate how investment algorithms will perform in the real world. To support this, the relationship combines Quantopian’s open source workflow for quants with data from Open:FactSet Marketplace.

Quantopian has a community of over 195,000 members worldwide using its free, open source quant workflow to develop and test trading strategies. The environment is Python based and includes a point-in-time database and multi-factor risk platform to support development of algo trading strategies and portfolio optimisation.

Working with FactSet, Quantopian will continue to support its free platform with data made available by FactSet but delayed on average by about a year for each dataset. Quantopian Enterprise, will be sold as a bundle of the Quantopian workflow software and up to date data from Open:FactSet Marketplace. The enterprise solution will be marketed jointly, supported by FactSet and priced on a seat-based subscription model.

Rich Newman, senior vice president and global head of Content and Technology Solutions at FactSet, says quant trading is shifting towards data science, computer power and alternative data to generate alpha. There is also a shift towards more programming and creative thinking, which FactSet has not focused on in the past. The recently released Open:FactSet Marketplace moves the company further into alternative data with 25 data feeds, including FactSet’s core content as well as alternative datasets such as satellite, sentiment, and environmental, social, and governance data from third-party providers.

On FactSet’s relationship with Quantopian, Newman notes: “FactSet lacked a robust quantitative data science environment and Quantopian lacked content, distribution and scale to develop a commercial model and offer support. The companies’ capabilities complement each other well and allow FactSet to target programmers.”

John Fawcett, founder and CEO at Quantopian, describes the relationship as a landmark deal for the company that will provide quants with the tools, data and environment they need to help reshape how data is used in the investment industry. He says: “We have had many requests to buy our software for enterprise use but needed more data to come to market. For a small independent fintech it was also difficult to build up sales, distribution and support. The partnership with FactSet addresses all the problems around going to market and provides everything a quant needs.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

AI Personalization in Trading: Where We Are and Where We’re Heading

Ivan Kunyankin, Data Science Team Lead at Devexperts. AI may have started out its brokerage career in back-office, enhancing operational efficiency by providing human teams with actionable client insights, but it’s now being promoted to more sensitive client-facing roles. As AI tools continue to evolve and become normalized in more areas of daily life, financial...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Tackling the Data Management Challenges of FATCA

As the July 1, 2014 deadline for compliance with the Foreign Account Tax Compliance Act – or FATCA – approaches, financial institutions around the world are working to ensure their data management and operational systems will meet the requirements of the US legislation. This report discusses the requirements of FATCA and how the legislation is...