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New study: Complete report on global algorithmic trading market +15% CAGR expected by 2021

Financial Services Market Research

QYReports market research analysts have predicted that the global Algorithmic Trading market will grow steadily at a CAGR of +15% by 2021. Integrated financial markets help domestic investors to buy foreign assets with reduced risks and regulatory changes and will have no impact on the functioning of the capital market. The involvement of different international markets has led to the efficient global allocation of savings and also aids countries to create an opportunity for portfolio diversification and risk sharing. Integrating financial markets has helped surge liquidity in the equity market and will be one of the major factors that will contribute to the growth of the market in the next four years.

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An analysis of the competitive scenario of the global market for Algorithmic Trading has also been provided in this research study. Analysts have studied the profiles of the leading companies operating in this market using various analytical tools, such as SWOT analysis, to determine the current market hierarchy.


The report also estimates the regulatory landscapes which affect various resolutions in the Algorithmic Trading market. It also provides thorough information about the tactics, rules, guidelines and procedures with respect to this market.

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After assembling all data, this report forms an outstanding report depository which can help gain supreme knowledge with respect to this market.

The prognosis of the said market across all sectors is obtainable in terms of CAGR and other important factors such year-on-year growth and out-and-out dollar opportunity. These constraints provide the client with in depth insights and future prospects from the standpoint of Algorithmic Trading market.

Regions Covered:

United States





Southeast Asia


A competitive scenario of the market allows the customer to get an improved synopsis of future challenges to be faced. In depth business profiles are deliberated with respect to Algorithmic Trading market allowing the reader to apprehend the strength and weakness of competitors.

Major Vendors:



Optiver US

Tower Research Capital

Two Sigma Investments

DRW Trading

Flow Traders

Hudson River Trading,

Jump Trading

RSJ Algorithmic Trading

Spot Trading

Sun Trading

Tradebot Systems

Virtu Financial

The use of substantial sources and SWOT analysis aided in collecting substantiated and useful information for the market-oriented and methodical study of the growth of the Global Algorithmic Trading Market. The methodology used is out-and-out analysis of the various nitty-gritties of the market, the overall market size, supply sales, yearly sales.

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Table of Contents

Global Algorithmic Trading Market Research Report 2017

Chapter 1 Algorithmic Trading Market Overview   

Chapter 2 Global Economic Impact on Industry   

Chapter 3 Global Market Competition by Manufacturers 

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions 

Chapter 6 Global Production, Revenue (Value), Price Trend by Type   

Chapter 7 Global Market Analysis by Application   

Chapter 8 Manufacturing Cost Analysis   

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers   

Chapter 10 Marketing Strategy Analysis, Distributors/Traders 

Chapter 11 Market Effect Factors Analysis   


Also in this report, the competitive landscape of the market has been presented. In this section, the prominent players operating in the Algorithmic Trading market have been presented.

The research study is a compilation of primary and secondary research, which allows the readers and players to have a strong understanding of the overall market.

The major growth drivers, challenges, and trends influencing the global Algorithmic Trading market are inspected at length. A number of analysis tools such as Porter’s five forces analysis and SWOT analysis have been employed to provide an accurate understanding of this market. 

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