The Global Algorithmic Trading Market report outlines the evolution of Algorithmic Trading market by type and applications and identifies and assesses the best performing vendors in the market to 2022. This report also presents the revenue opportunities in the Algorithmic Trading market through to 2022, highlighting the market size and growth by technology, geography, and sector and size band.
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This report studies the Algorithmic Trading market, 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.
Market Segment by Manufacturers, this report covers: 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 and Teza Technologies
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Market Segment by Regions, regional analysis covers:
- North America (USA, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Columbia.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Algorithmic Trading Market Segment by Type covers:
Market Segment by Applications, can be divided into:
- Investment banks
- Personal Investors
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There are 15 Chapters to deeply display the Global Algorithmic Trading market.
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Chapter 1: Describe Algorithmic Trading Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2: Analyze the top manufacturers of Algorithmic Trading, with sales, revenue, and price of Algorithmic Trading, in 2016 and 2017;
Chapter 3: Display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4: Show the global market by regions, with sales, revenue and market share of Algorithmic Trading, for each region, from 2012 to 2017;
Chapter 5,6,7,8 and 9: Analyze the key regions, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11: Show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;
Chapter 12: Algorithmic Trading market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15: Describe Algorithmic Trading sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
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