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

Upcoming Webinar: From Monolith to Modular: Architecting Equity Trading Platforms for 24/5 and Beyond

Date: 14 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Multiplying the Value of Unstructured Data

Financial institutions have spent years expanding the range of data available to investment, trading and risk teams. Increasingly, however, the challenge is not obtaining more data but making sense of what they already have. Unstructured data is estimated to account for 80-90% of the information generated withinfinancial institutions, encompassing everything from regulatory filings and earnings-call...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...