Potential Impact of COVID-19 on Algorithmic Trading Market

Algorithmic trading refers to a process of execution of orders through pre-programmed and automated trading instructions. It is done to account for variables like volume, timing, and price. An algorithm refers to a set of directions that is used for solution of problems. Computer algorithms send out small portions of the entire order to the market in time.

The growth of the global algorithmic trading market is majorly driven by increased demand for effective, reliable, and fast order execution. It also helps in the reduced cost of transaction, rising demand for surveillance of the market. Increased government regulations are another significant factor estimated to boost the market.

Thomson Reuters Corporation, Argo Software Engineering, Inc., MetaQuotes Software Corp., Kuberre Systems, Symphony Fintech Solutions Pvt. Ltd, and Tata Consulting Services are few of the key companies profiled in the global algorithmic trading market.

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Driven by Increased Investment in Trading Technologies to Drive Growth in North America

Considering regional segmentation, North America is estimated to account for a leading share of the global algorithmic trading market during the tenure of forecast, from 2018 to 2026. The expansion of the region id ascribed to the rapid development and adoption of the algorithm trading procedure. The increased investment in various trading technologies like blockchain, growing support of government for global trading, and increased presence of several vendors in the region are likely to encourage growth of the global algorithmic trading market.

Asia Pacific is likely to come up as a rapidly growing region. The growth of the region is mainly due to huge investment in public and private sector made for improvement of trading technologies. This has led to the augmented demand for algorithmic trading solutions for the automation of trading process.