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

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: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

From Silos to Sequencers: Why Core Trading Architectures Are Being Rewritten for 24/7 Markets

The most consequential changes facing financial markets technology in 2026 will not be driven by new asset classes or incremental latency gains, but by a fundamental rethinking of how trading systems are architected at their core. For decades, market participants have organised technology around functional silos: execution, risk, middle office, post-trade. These boundaries were reinforced...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...