Dallas, TX -- (SBWire) -- 09/18/2018 --Global Algorithmic Trading Market 2018-2023:
In this Algorithmic Trading Market report, we provide the present scenario (with the base year being 2017) and the growth prospects of global Algorithmic Trading market for 2018-2023.

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.

Over the next five years, LPI(LP Information) projects that Algorithmic Trading will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.

This report presents a comprehensive overview, market shares and growth opportunities of Algorithmic Trading market by product type, application, key companies and key regions.

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To calculate the market size, LP Information considers value generated from the sales of the following segments:

Segmentation by product type:
On-Premise
Cloud-Based

Segmentation by application:
Investment Banks
Funds
Personal Investors
Others

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

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

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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Some TOC Points:
1 Scope of the Report
2 Executive Summary
3 Global Algorithmic Trading by Players
4 Algorithmic Trading by Regions
...
9 Market Drivers, Challenges and Trends
10 Global Algorithmic Trading Market Forecast
11 Key Players Analysis
...Continued

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