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(MoneyNewsWire.Net, September 25, 2018 ) 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.
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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.
The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report: 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
Research objectives
To study and analyze the global Algorithmic Trading market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Algorithmic Trading market by identifying its various subsegments.
Focuses on the key global Algorithmic Trading players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Algorithmic Trading with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Algorithmic Trading submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
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2018-2023 Global Algorithmic Trading Market Report (Status and Outlook)
1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Algorithmic Trading Market Size 2013-2023
2.1.2 Algorithmic Trading Market Size CAGR by Region
2.2 Algorithmic Trading Segment by Type
2.2.1 On-Premise
2.2.2 Cloud-Based
2.3 Algorithmic Trading Market Size by Type
2.3.1 Global Algorithmic Trading Market Size Market Share by Type (2013-2018)
2.3.2 Global Algorithmic Trading Market Size Growth Rate by Type (2013-2018)
2.4 Algorithmic Trading Segment by Application
2.4.1 Investment Banks
2.4.2 Funds
2.4.3 Personal Investors
2.4.4 Others
2.5 Algorithmic Trading Market Size by Application
2.5.1 Global Algorithmic Trading Market Size Market Share by Application (2013-2018)
2.5.2 Global Algorithmic Trading Market Size Growth Rate by Application (2013-2018)
3 Global Algorithmic Trading by Players
3.1 Global Algorithmic Trading Market Size Market Share by Players
3.1.1 Global Algorithmic Trading Market Size by Players (2016-2018)
3.1.2 Global Algorithmic Trading Market Size Market Share by Players (2016-2018)
3.2 Global Algorithmic Trading Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Algorithmic Trading by Regions
4.1 Algorithmic Trading Market Size by Regions
4.2 Americas Algorithmic Trading Market Size Growth
4.3 APAC Algorithmic Trading Market Size Growth
4.4 Europe Algorithmic Trading Market Size Growth
4.5 Middle East & Africa Algorithmic Trading Market Size Growth
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