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Friday, August 15, 2025
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Trading Technologies launches Pre-Trade Portfolio Risk functionality for TT® platform

Trading Technologies has launched TT pre-trade risk management tools on its TT platform, aiming to enhance portfolio oversight and compliance. TT announced the new offering leading into the FIA IDX conference today in London.

With this functionality, firms can now manage risk more effectively by capturing a client’s worst-case margin position at a given time and use the value to determine whether there is sufficient buying power before an order is sent to the market. The new offering uniquely applies the same calculations employed by clearing houses, giving FCMs the ability to more comprehensively manage client exposure.

Alun Green, EVP Managing Director, Futures & Options for TT, said: “This is a significant step forward in managing risk that will allow a wider range of users to benefit from the award-winning trading features available on the TT platform. Users will easily be able to see how much margin has been consumed by their existing portfolio and how much buying power remains for trading.”

Pre-Trade Portfolio Risk supports a variety of exchange risk protocols, including SPAN, PRISMA, value-at-risk (VAR) and other custom models, across more than 20 major derivatives exchanges. It directly leverages risk parameter files supplied by the exchange to reflect the most up-to-date values and can be managed at any account level in the TT platform.

The TT platform, which handled more than 2.8 billion derivatives transactions alone in 2024, is the most widely used platform globally for futures and options on futures, in addition to its growing use across multiple asset classes. The platform has earned numerous recognitions in 2025 for its high-performance technology and functionality, including Derivatives Trading System of the Year in this month’s Markets Media 2025 Global Markets Choice Awards. The integration of TT pre-trade risk management into the TT platform marks a significant step in pre-trade risk analytics and automation.

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