Global Algorithmic Trading Market Analysis 2018 | Growth by Top Companies: Citadel, KCG, Optiver US, Tower Research Capital, Two Sigma Investments, DRW Trading, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun T

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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. They were developed so that traders do not need to constantly watch a stock and repeatedly send those slices out manually. Popular "algos" include Percentage of Volume, Pegged, VWAP, TWAP, Implementation Shortfall, and Target Close. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. Algorithmic trading is not an attempt to make a trading profit. It is simply a way to minimize the cost, market impact and risk in execution of an order. It is widely used by investment banks, pension funds, mutual funds, and hedge funds because these institutional traders need to execute large orders in markets that cannot support all of the size at once.

The global market size of Algorithmic Trading is $$$million in 2017 with $$ CAGR from 2013 to 2017, and it is expected to reach $$$ million by the end of 2023 with a CAGR of $$% from 2018 to 2023.

The Companies Include:
Citadel, KCG, 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 Sys et al.

There are 3 key segments covered in this report: geography segment, end use/application segment and competitor segment.

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For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023.

This report covers following regions:
• North America
• Asia & Pacific
• South America
• Europe
• MEA (Middle East and Africa)

The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

For end use/application segment, this report focuses on the status and outlook for key applications. End users also can be listed.

For competitor segment, the report includes global key players of Algorithmic Trading as well as some small players.

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The information for each competitor includes:
• Company Profile
• Main Business Information
• SWOT Analysis
• Sales, Revenue, Price and Gross Margin
• Market Share

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TABLE OF CONTENTS

Chapter 1 Executive Summary

Chapter 2 Abbreviation and Acronyms

Chapter 3 Preface

Chapter 4 Market Landscape

Chapter 5 Market Trend Analysis

Chapter 6 Industry Chain Analysis

Chapter 7 Latest Market Dynamics

Chapter 8 Trading Analysis

Chapter 9 Historical and Current Algorithmic Trading Market in North America (2013-2018)

Chapter 10 Historical and Current Algorithmic Trading Market in South America (2013-2018)

Chapter 11 Historical and Current Algorithmic Trading Market in Asia & Pacific (2013-2018)

Chapter 12 Historical and Current Algorithmic Trading Market in Europe (2013-2018)

Chapter 13 Historical and Current Algorithmic Trading Market in MEA (2013-2018)

Chapter 14 Summary for Global Algorithmic Trading Market (2013-2018)

Chapter 15 Global Algorithmic Trading Market Forecast (2019-2023)

Chapter 16 Company Profile
16.1 Company A
16.1.1 Company Profile
16.1.2 Main Business and Algorithmic Trading Information
16.1.3 SWOT Analysis of Company A
16.1.4 Company A Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.2 Company B
16.2.1 Company Profile
16.2.2 Main Business and Algorithmic Trading Information
16.2.3 SWOT Analysis of Company B
16.2.4 Company B Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.3 Company C
16.3.1 Company Profile
16.3.2 Main Business and Algorithmic Trading Information
16.3.3 SWOT Analysis of Company C
16.3.4 Company C Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.4 Company D
16.4.1 Company Profile
16.4.2 Main Business and Algorithmic Trading Information
16.4.3 SWOT Analysis of Company D
16.4.4 Company D Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.5 Company E
16.5.1 Company Profile
16.5.2 Main Business and Algorithmic Trading Information
16.5.3 SWOT Analysis of Company E
16.5.4 Company E Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.6 Company F
16.6.1 Company Profile
16.6.2 Main Business and Algorithmic Trading Information
16.6.3 SWOT Analysis of Company F
16.6.4 Company F Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)
16.7 Company G
16.7.1 Company Profile
16.7.2 Main Business and Algorithmic Trading Information
16.7.3 SWOT Analysis of Company G
16.7.4 Company G Algorithmic Trading Sales, Revenue, Price and Gross Margin (2013-2018)

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