As we look back on this year, topics such as institutional adoption of digital asset trading, European trading in response to geopolitical risk, and the SEC’s plans to revamp U.S. stock trading rules dominated the headlines. In 2022, we covered those topics and much more including the growing sophistication of AlgoWheel, and the evolution of the buy-side fixed income EMS.
A key innovation is the ability to dynamically switch between algos and/or tweak algo parameters based on the current market conditions and algo performance. The concept of algo switching is not new; however, since FlexAlgoWheel focuses on order routing, we offer dynamic switching as an integral feature. Dynamic re-evaluation, an advanced feature of FlexAlgoWheel, continues to assess the real-time market conditions.
With the hiring of data scientists, advances in cloud computing, and access to open source frameworks for training machine learning models, AI is transforming the trading desk. Already the largest banks have rolled out self-learning algorithms for equities trading.
Options trading volumes and volatility skyrocketed in March as concerns over the COVID-19 virus spread across markets. In this Q&A, FlexTrade’s Vice President Equity Derivatives Rob Brogan examines the shift to electronic trading, the need for real-time tools for calculating the Greeks, and how FlexTrade supports the demand for ‘volatility trading’ in a fast-moving market.
Algo wheels are the application to trading of the idea of randomised controlled trials, which originally comes from the natural sciences. When you have some new innovation in the healthcare space, for example, you have to make sure
that a new treatment actually works and improves outcomes for patients.
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