The need for rapid and effective trade execution, more market surveillance, and reduced costs, are likely to accelerate the need for the algorithmic trading market. Financial institutions already turn to algorithms to minimize the expense of bulk trading. Now algo trading is becoming a commonplace to execute trade orders at the best possible price and lower the likelihood of human error. In wake of these developments, the global algo trading market is projected to reach $31,494 million by 2028.
The chief drivers of this growth are the AI automation solutions. Automation streamlines the entire process, while AI and machine learning adds an extra intelligence twist. Essentially ML computer systems are trained to recognise market movements with impressive accuracy, helping algorithms to bid accordingly. By accessing and understanding large data sets, ML systems predicts future outcomes, enhance trading strategies and tweak portfolios accordingly.
To put the spotlight on other key developments, Financial Services Review illustrates how algo trading are using technologies to execute trade efficiently. This edition also features a thought leadership article from Niraj Gupta, Head Of Digital Banking at Cambodia Asia Bank; Denis Imaev, Managing Director, Head of Algorithmic Trading Development at Cantor Fitzgerald; Neil Platten, Head of Data and Analytics at Stanlib Asset Management; and Marc Ashworth, Senior VP, Chief Information Security Officer at First Bank. They shed light on digital banking, investing in digital tools to help find the needle in the haystack, and how increased threats require investment in time.
In this edition of Financial Services Review, we also bring to you the story of some of the top algo trading solution providers. In the list, Trade ATS stands out for helping traders think and trade like the large institutions with its flagship product. We also bring to you the stories of Symbolor, providing AI-based trading strategy generators to help investors place stock orders strategically while minimizing the risk of losing money, and Global Trading Software, offering designing simple, repeatable, and graphical trading rules. Through the following pages, we aim to shine a light on the innovative trends and latest developments in the algo trading space. We would like to know your thoughts.
