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

A-Team Insight Briefs

Trading Technologies Launches TT Strategy Studio for Multi-Asset Algorithmic Trading

Subscribe to our newsletter

Trading Technologies International, Inc. (TT) has launched TT Strategy Studio, a multi-asset algorithmic trading platform aimed at institutional trading firms, including quantitative firms, hedge funds, and energy companies. Announced during TradeTech Europe 2025 in Paris, the solution is part of TT Quantitative Trading Solutions (QTS) and is designed to allow firms to build, test, and deploy automated trading strategies while maintaining control over their proprietary code.

TT Strategy Studio supports data integration from a wide range of market sources across equities, options, futures, and foreign exchange. It offers back-testing capabilities, real-time monitoring, and compliance tools, enabling users to simulate and evaluate strategies across different market conditions. The software is certified for use on 70 global marketplaces, ensuring regulatory compliance. TT QTS staff also use the platform to develop proprietary algorithms and assist clients in strategy development and validation.

Subscribe to our newsletter

Related content

WEBINAR

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

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 infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

From Pilots to Production: Capital Markets Firms Confront the Real Challenge of Scaling AI in Trading Workflows

Across capital markets, AI pilots are proliferating – on trading desks, in compliance functions, within data teams. The proof-of-concept phase has, for many firms, delivered enough evidence of value to settle the strategic debate. What remains stubbornly unresolved is the operational question: how to translate a growing patchwork of departmental experiments into scalable, production-grade capability....

EVENT

TEST Event page 1

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

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...