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全球自动交易市场报告(2016-2020年)

Global Automated Trading Market 2016-2020

加工时间:2017-03-07 信息来源:EMIS 索取原文[79 页]
关键词:金融市场;先进的数学模型;达成交易决策;执行;自动化技术;高速算法交易
摘 要:

Modern financial markets use advanced mathematical models to arrive at transaction decisions and execute them. Such automated technologies are referred to as highspeed algorithmic trading. These methods determine the optimal time for an order to be placed so as to generate the least impact on stock prices. Large institutional investors use algorithmic trading technologies to buy and sell large blocks of shares in small tranches every day. The use of such technologies allows users to use the best possible pricing without any significant impact on purchasing costs. The automated trading systems are also referred to as algorithmic trading or mechanical trading systems where it allows the trader to establish specific rules for both trade entries and trade exits. They are generally programmed in a way so that they can be automatically executed through computer systems. The entry and exit in the trade is based on the moving average crossovers. Sometimes it also requires the understanding of the programming language that is specific to the user’s trading platform.


目 录:

PART 01: Executive summary

Highlights

PART 02: Scope of the report

Market overview

Countries covered

Top-vendor offerings

PART 03: Market research methodology

Research methodology

Economic indicators

PART 04: Introduction

Key market highlights

Automated trading overview

Advantages of automated trading

Disadvantages of automated trading

Use of automated trading

Basic life cycle in automated trading

Benefits of automated trading

PART 05: Market landscape

Market overview

Market size and forecast

Five forces analysis

PART 06: Geographical segmentation

Geographical segmentation

Americas

EMEA

APAC

PART 07: Market drivers

Higher demand for market surveillance

Increased integration of financial markets

Algorithmic imports in Asia

PART 08: Impact of drivers

PART 09: Market challenges

Lack of awareness in automated trading

Wider bid-ask spread in Asia

Insufficient risk valuation capabilities, operational

inefficiencies, and limited legal certainty

PART 10: Impact of drivers and challenges

PART 11: Market trends

Advancements in technology

Portfolio risk solutions

Early adopters in Asia

PART 12: Vendor landscape

Competitive landscape

Other prominent vendors

PART 13: Key vendor analysis

Citadel

KCG

Optiver

Two Sigma Investments

PART 14: Appendix

List of abbreviations

PART 15: Explore Technavio 


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