The global Algorithmic Trading Market size to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a CAGR of +11percent during 2019-2025
The Algorithmic Trading market report presents the competitive scenario of the major market players based on the sales revenue, customer demands, company profile, the business tactics used in the Algorithmic Trading market which will help the emerging market segments in making vital business decisions.
Algorithmic trading is a method of executing a large order (too large to fill all at once) using automated pre-programmed trading instructions accounting for variables such as time, price, and volume to send small slices of the order (child orders) out to the market over time. They were developed so that traders do not need to constantly watch a stock and repeatedly send those slices out manually. Popular “algos” include Percentage of Volume, Pegged, VWAP, TWAP, Implementation Shortfall, Target Close. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders
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Top Key Players:
Virtu Financial, KCG, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial, Teza Technologies
Algorithmic Tradings Market segment by Type:
Algorithmic Tradings Market segment by Application:
- Investment Banks
- Personal Investors
The research covers the overall aspect of the Algorithmic Tradings market globally, from the definition to the development towards the market segmentation. Further, every segment of the market is classified and analyzed on the basis of, product types, the end-user, application, and geographical regions.
USA, Germany, UK, France, Belgium, Canada, Japan, etc. are now the key developers of Algorithmic Trading. There are some vendors with poor quality products in China, but the Chinese market is still much smaller than the USA at present.
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Managed to host service segment of Global Algorithmic Trading Market expected to grow rapidly over the forecasted period as many Algorithmic Trading providers are improving their service delivery architecture with automation, instrumentation, scaling & flexibility features and faster provisioning which further expected to increase the market growth of Algorithmic Trading globally.
The report depicts a detailed overview of the Global Algorithmic Trading Market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market-centric strategies according to the ongoing and expected trends in the future.