MarketsandMarkets forecasts the algorithmic trading market size to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 11.1% during the forecast period. The algorithmic trading market is said to have growth potential, due to the increasing demand for fast, reliable, and effective order execution and reducing transaction costs.
According to MarketsandMarkets, the algorithmic trading technology uses algorithms for trading complex shares and commodities incorporating complex formulas with mathematical models and human oversight to make decisions to buy/sell financial securities on exchanges and commodities. Trading rules are defined based on price, quantity, time, volume, and any other mathematical model. The technology can be used in a wide variety of financial functions, such as buy /sell, order execution, arbitrage, and trend trading strategies. To improve the accuracy of algorithmic trading, simulation and Artificial Intelligence (AI) are integrated with algorithmic trading for testing and analyzing historical data and decision-making process. Algorithmic trading assists traders and investors in executing orders at a rapid pace and expanding strategy portfolios.
Some of the major algorithmic trading vendors are Thomson Reuters (US), 63 moons (India), Virtu Financial (US), Software AG (Germany), MetaQuotes Software (Cyprus), Symphony Fintech (India), InfoReach (US), Argo SE (US), Kuberre Systems (US), Tata Consultancy Services (India), QuantCore Capital Management (China), iRageCapital (India), Automated Trading SoftTech (India), Tethys (US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland). These algorithmic trading vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global algorithmic trading market.
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Thomson Reuters was founded in 2008 and is headquartered in Toronto, Canada. The company is one of the world’s leading providers of news and information for professional markets. It majorly operates in 3 business segments, namely, financial and risk, legal, and tax and accounting. Through its financial and risk business segment, Thomson Reuters offers critical news, information, and analytics that enables transactions and connects the communities of trading, investment, financial, and corporate professionals. The company’s solutions offer several advantages, such as improving performance through accelerating workflows, increasing margins through reduction in logistics costs, and efficiently managing risks and compliances. It enables its clients to make efficient and quick business decisions by providing them with professional expertise, technology, and intelligence. Moreover, it drives its growth through a renewed focus on organic product development, yielding a robust product pipeline in the algorithmic trading market.
63 moons is another leading vendor in the global algorithmic trading market. It changed its name from Financial Technologies to 63 moons in May 2016. The company was founded in 1988 and is headquartered in Mumbai, India. It offers computer programming, consulting, and related services in India and internationally. It also offers exchange, clearing house, and depository solutions. These solutions cover various exchange operations, ranging from trading to settlement. The company invests a huge amount of its revenue in Research and Development (R&D) for developing new technologies and solutions specific to the financial sector. It offers an user-friendly financial platform to create digital market places in India as well as abroad. Moreover, it has partnered with innovative global stock exchanges, such as Multi Commodity Exchange of India Limited, Singapore Mercantile Exchange, Indian Energy Exchange Ltd., Dubai Gold and Commodities Exchange, and Bourse Africa Limited (erstwhile Global Board of Trade).
Algorithmic Trading Market by Trading Type (FOREX, Stock Markets, ETF, Bonds, Cryptocurrencies), Component (Solutions and Services), Deployment Mode (Cloud and On-premises), Enterprise Size, and Region - Global Forecast to 2024
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