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

A-Team Insight Briefs

TS Imagine Unveils Platform 3.0

Subscribe to our newsletter

TS Imagine, the trading, portfolio, and risk management solutions provider, has launched Platform 3.0, a comprehensive upgrade developed over three years of research, development, and investment. This new platform represents a significant modernisation of TS Imagine’s offerings, designed to position its users at the forefront of innovation in global capital markets. Platform 3.0 integrates a wide range of enhancements, including advanced data analytics, artificial intelligence, and automation tools, providing users with real-time, intraday insights and optimised workflows.

Key features include an expanded cross-asset class liquidity network with over 300 endpoints, immediate access to all asset classes for new users, and a significant reduction in total cost of ownership, especially in fixed income trading. The platform utilises AI-driven automation to convert unstructured data into machine-learning-ready structured data, streamlining decision-making processes and automating compliance tasks. Additionally, the new AutoRoute tool improves order flow management by automatically routing orders, assigning brokers and traders, and enhancing operational efficiency.

Platform 3.0 also broadens data coverage to over 20 million financial instruments, allowing users to diversify their trading strategies. Enhanced risk management capabilities, including tools like RiskSmart+ and a comprehensive margin calculator, enable users to handle margin calls and mitigate market risks effectively. With a modular design, Platform 3.0 is tailored to meet the needs of both small and large investment firms, providing scalable, customisable solutions that help firms grow and adapt to evolving market conditions.

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

Exchange Technology 2.0: Future-Proofing Exchange Architecture

By Ian Salmon, Head of Product Marketing, Adaptive. Exchange technology is back under strategic review, but not in the narrow sense of another performance upgrade cycle. Across the market, venue operators are reassessing the foundations of their platforms because the environment around them is becoming more demanding, more diverse and less predictable. For some, that...

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...