TT^® Connect Blog

Professional and institutional traders are increasingly demanding sophisticated algorithms and strategy development software to minimize trading costs and streamline the process of creating low-latency systematic portfolio strategies. The aim of TT’s Quantitative Trading Solutions (QTS) group is to build the algo tools they need to get ahead in a challenging and competitive market.

In the fast-paced world of algorithmic trading, energy markets present a unique set of challenges and opportunities. Unlike traditional asset classes, energy trading involves navigating physical delivery requirements, fragmented markets and extreme volatility. At the recent E-world Energy & Water trade fair in Essen, we caught up with Timo Kieseler, Head of Algorithmic Trading at Vattenfall, to discuss the challenges of algo trading in energy markets, Vattenfall’s partnership with TT and future plans for technology investment.

This week, the derivatives industry heads to the sunny climes of Florida for the 50^th edition of the seminal event of the year: FIA Boca. 

Boca is unique and unlike any forum I’ve seen in any industry in terms of bringing together the most important players. The conference hosts the sell side, the buy side, exchanges, associations, regulators, technology providers, media and others from all over the world. 

To my mind, there are two key technology trends that will form the discussions this year: front-to-back integration and the move to multi-asset trading. 

As trading has become increasingly complex and markets have evolved, transaction cost analysis (TCA) has shifted from a compliance function primarily for equities trading to one that actively drives front-office decision-making across all asset classes. Today, multi-asset TCA is an essential tool for both buy-side and sell-side firms in optimizing trade execution, managing risk and meeting regulatory requirements. 

One of the most significant developments in trade surveillance over the past decade has been the growing demand for consolidated, multi-asset capabilities. 

Historically, many surveillance systems were limited to specific asset classes, such as equities or futures. However, as firms across the market have increased the complexity and scope of their trading operations, the need for comprehensive, cross-asset surveillance has grown.