Algorithmic Trading Market Size Share by Manufacturers, Countries, Type and Application, Forecast to 2022

Albany, NY — 12/07/2017 — 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.

Scope of the Report:

This report focuses on the Algorithmic Trading in Global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.

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
Teza Technologies

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 etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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Market Segment by Type, covers

Market Segment by Applications, can be divided into
Investment banks
Funds
Personal Investors

There are 15 Chapters to deeply display the global Algorithmic Trading market.

Chapter 1, to describe Algorithmic Trading Introduction, product scope, market overview, market opportunities, market risk, market driving force;

Chapter 2, to analyze the top manufacturers of Algorithmic Trading, with sales, revenue, and price of Algorithmic Trading, in 2016 and 2017;

Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;

Chapter 4, to 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, to analyze the key regions, with sales, revenue and market share by key countries in these regions;

Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;

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Chapter 12, Algorithmic Trading market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;

Chapter 13, 14 and 15, to describe Algorithmic Trading sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source

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About the Author: Carrie Brunner

Carrie Brunner grew up in a small town in northern New Brunswick. She studied chemistry in college, graduated, and married her husband one month later. They were then blessed with two baby boys within the first four years of marriage. Having babies gave their family a desire to return to the old paths – to nourish their family with traditional, homegrown foods; rid their home of toxic chemicals and petroleum products; and give their boys a chance to know a simple, sustainable way of life. They are currently building a homestead from scratch on two little acres in central Texas. There’s a lot to be done to become somewhat self-sufficient, but they are debt-free and get to spend their days living this simple, good life together with their five young children. Carrie writes mostly on provincial stories.
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