Algorithmic Trading Market 2018 Global Analysis, Opportunities And Forecast To 2023

Algorithmic Trading Industry

Description

Wiseguyreports.Com Adds “Algorithmic Trading -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2023” To Its Research Database

This report studies the global Algorithmic Trading market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Algorithmic Trading market by companies, region, type and end-use industry.

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.
Algorithmic Trading are mainly used in investment banks, pension funds, mutual funds, hedge funds, etc. And investment banks were the most widely used area which took up about 48% of the global total in 2016.

USA is the largest countries of Algorithmic Trading (trading service) in the world in the past few years and it will keep increasing in the next few years. USA market took up about 52% the global market in 2016, while Europe was about 40%.
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.

Top 10 took up more than 50% of the global market in 2016. Virtu Financial, KCG, DRW Trading, Optiver, IMC, Flow Traders, etc. which have leading technology and market position, are well-known suppliers around the world.

In 2017, the global Algorithmic Trading market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

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This report focuses on the global top players, covered

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/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

Market segment by Type, the product can be split into
On-Premise
Cloud-Based

Market segment by Application, split into
Investment Banks
Funds
Personal Investors
Others

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Table of Contents

Global Algorithmic Trading Market Size, Status and Forecast 2025
1 Industry Overview of Algorithmic Trading
1.1 Algorithmic Trading Market Overview
1.1.1 Algorithmic Trading Product Scope
1.1.2 Market Status and Outlook
1.2 Global Algorithmic Trading Market Size and Analysis by Regions (2013-2018)
1.2.1 United States
1.2.2 Europe
1.2.3 China
1.2.4 Japan
1.2.5 Southeast Asia
1.2.6 India
1.3 Algorithmic Trading Market by Type
1.3.1 On-Premise
1.3.2 Cloud-Based
1.4 Algorithmic Trading Market by End Users/Application
1.4.1 Investment Banks
1.4.2 Funds
1.4.3 Personal Investors
1.4.4 Others

….

3 Company (Top Players) Profiles
3.1 Virtu Financial
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.2 KCG
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.3 DRW Trading
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.4 Optiver
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.5 Tower Research Capital
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.6 Flow Traders
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.7 Hudson River Trading
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.8 Jump Trading
3.8.1 Company Profile
3.8.2 Main Business/Business Overview
3.8.3 Products, Services and Solutions
3.8.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.9 RSJ Algorithmic Trading
3.9.1 Company Profile
3.9.2 Main Business/Business Overview
3.9.3 Products, Services and Solutions
3.9.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.10 Spot Trading
3.10.1 Company Profile
3.10.2 Main Business/Business Overview
3.10.3 Products, Services and Solutions
3.10.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.11 Sun Trading
3.12 Tradebot Systems
3.13 IMC
3.14 Quantlab Financial
3.15 Teza Technologies

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