关键词：现代金融市场；先进的；数学模型；交易的决定；自动化技术；高速算法交易
摘 要：Modern financial markets use advanced mathematical models to arrive at (and execute) transaction decisions. 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. These technologies allow users to use the best possible pricing without any significant impact on purchasing costs.
目 录：

PART 01: Executive summary

Highlights

PART 02: Scope of the report

Market overview

Top-vendor offerings

PART 03: Market research methodology

Research methodology

Economic indicators

PART 04: Introduction

Key market highlights

Definition of algorithmic trading

Benefits of algorithmic trading

Use of algorithmic trading

PART 05: Market landscape

Market overview

Market size and forecast

Five forces analysis

PART 06: Global market outlook

PART 07: Geographical segmentation

Geographical segmentation 2015

Geographical segmentation 2020

Americas

EMEA

APAC

PART 08: Market drivers

Increased integration of financial markets

Algorithmic imports in Asia

Higher demand for market surveillance

PART 09: Impact of drivers

PART 10: Market challenges

Insufficient risk valuation capabilities, limited legal

certainty, and operational inefficiencies

Wider bid-ask spread in Asia

Lack of awareness in algorithmic trading

PART 11: Impact of drivers and challenges

PART 12: Market trends

Portfolio risk solutions

Early adopters in Asia

Technological advancements

PART 13: Vendor landscape

Competitive landscape

Other prominent vendors

PART 14: Key vendor analysis

Citadel

KCG

Optiver

Tower Research Capital

Two Sigma Investments

PART 15: Appendix

List of abbreviations

PART 16: Explore Technavio