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

A-Team Insight Blogs

FlexTrade Introduces Fast Back-Testing Framework for Equities, FX and Futures

Subscribe to our newsletter

FlexTrade has introduced a back-testing framework designed to gauge and adjust the performance of past trading strategies for real-time use in trading equities, FX and futures.

The solution is available as an addition to the company’s FlexTRADER EMS and OMS platforms and is designed to allow traders to test an unlimited number of financial instruments in parallel.

Testing can be made across single security, cross asset, multi-leg and portfolio-based trading strategies, while a flexible fill simulation module helps traders tailor the exchange simulation logic to their target market. The framework also has the ability to replay past orders alongside market data and track algo performance under various market conditions, and to replay top-of-book and depth-of-book market data.

Vijay Kedia, president and CEO at FlexTrade, says: “Just because a trading strategy worked successfully in the past, doesn’t mean it will show the same results in the present. There are countless variables – old and new – that could impact performance in unanticipated ways. That’s why using an advanced back-testing framework can make all the difference in running a winning strategy.”

He describes the speed in which the back-testing replay occurs as ‘quite extraordinary’, and notes: “One day’s worth of data can be back-tested in less than 30 seconds, while a full year’s worth of data can be back-tested in less than a day. The framework simplifies trading strategy development for the trader into a three-step process: first, build your strategy; second, test against past performance factors and adjust; and last, deploy.”

 

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many of the platforms that still underpin the equities industry were built for a different era –...

BLOG

Exegy and MarketsIO Target the Market Data Migration Deadlock

For years, financial institutions have faced an uncomfortable trade-off around enterprise market data infrastructure. Legacy platforms may be expensive, complex and increasingly ill-suited to modern trading environments, but replacing technology embedded across hundreds or thousands of applications can introduce even greater cost and operational risk. A recently announced partnership between Exegy and MarketsIO is taking...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...