Durbin Michael. All About High-Frequency Trading

Cambridge University Press, 2015. — 356 p. The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools....

Wiley, 2017. — 254 p. The book is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy...

N.-Y.: Academic Press, 2015. — 494p. This comprehensive examination of high frequency trading looks beyond mathematical models, which are the subject of most HFT books, to the mechanics of the marketplace. In 25 chapters, researchers probe the intricate nature of high frequency market dynamics, market structure, back-office processes, and regulation. They look deeply into...

Wiley, 2013. — 224 p. A timely guide to profiting in markets dominated by high frequency trading and other computer driven strategies Strategies employing complex computer algorithms, and often utilizing high frequency trading tactics, have placed individual traders at a significant disadvantage in today's financial markets. It's been estimated that high-frequency traders—one form...

Risk Books, 2013. — 236 p. — ISBN: 978-1782720096. This is the survival guide for trading in a world where high-frequency trading predominates in markets, accounting for upwards of 60% of trading in equities and futures, and 40% in foreign exchange. High-frequency trading is the subject of extensive debate, particularly as to whether it is beneficial for traders and markets or...

Singapore: World Scientific Publishing Company, 2014. - 150p. This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to build trading algorithms of high-frequency trading and obtain stable statistical arbitrage from the financial market in detail. The authors' arguments are based on rigorous...