Algorithmic Trading Market Overview:
Algorithmic trading involves the use of an automated computer programmed to follow a set of business instructions to perform a transaction, taking into account factors such as time, price and volume. Algorithmic trading is a technological platform that offers both the advantage of artificial intelligence and human intelligence. It helps reduce transaction costs, allowing investment managers to control their own business procedures. The main objective of this software is not only to maximize the benefits, but also to control the market risk and the execution costs.
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Algorithmic Trading Market Drivers and Restraints:
The market of algorithmic transactions is driven by the emergence of artificial intelligence in the financial services sector. In addition, the increasing adoption by institutional asset managers of non-equity trading algorithms is increasing the use of artificial intelligence in the financial services sector. The global algorithmic trading market is expected to experience strong growth during the forecast period due to the rapid growth of demand for market surveillance. By using market surveillance technology, operators can track their business activities and investment patterns. The growing need to build an economy with global and regional interdependencies is forcing key suppliers to formulate effective marketing strategies and develop new market surveillance solutions. In addition, many companies are inclined to use algorithmic trading to reduce market risk and transaction costs.
However, strict regulatory norms affect the widespread use of algorithmic operations. To perform algorithmic transactions and HFT transactions, all commercial companies must inform the national regulatory authority and submit a request for approval to the regulatory authority. The regulatory environment for algorithmic trading and HFT practices is not favorable in some of the major countries, such as China. The widespread application of automated commerce is fraught with obstacles, particularly for high-frequency trading in the country’s financial markets. This limits the growth of the market in the Asia-Pacific region, since China is one of the main markets for the stock market.
Algorithmic Trading Market Geographical Analysis:
From a geographic perspective, North America is expected to have a significant market share in algorithmic trading. The growth in this region is attributed to the strong adoption and penetration of the trading platform, software and hardware services, as well as a considerable application of algorithmic trading in different market end-user segments throughout the region. The developed and emerging markets have adopted this technology in the stock market. The Asia-Pacific region is expected to experience profitable growth due to the growing adoption of such software by countries such as India, Japan, the Philippines and Singapore. In addition, markets in the Middle East and Africa (MEA) and South America are expected to experience significant growth during the forecast period.
Key players of the Algorithmic Trading Market:
Some of the key players in the algorithmic trading market include Trading Technologies International, Inc., Argo Software Engineering, Inc., Automated Trading SoftTech Pvt. Ltd., InfoReach, Inc., Kuberre Systems, MetaQuotes Software Corp., Software AG, Thomson Reuters Corporation, UTrade and Vela Trading Systems LLC (OptionsCity Software, Inc.).
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