High-Frequency Trading and Probability Theory (East China Normal University Scientific Reports)
| Author | : | |
| Rating | : | 4.11 (779 Votes) |
| Asin | : | 9814616516 |
| Format Type | : | paperback |
| Number of Pages | : | 192 Pages |
| Publish Date | : | 2014-03-05 |
| Language | : | English |
DESCRIPTION:
The authors reveal how to build trading algorithms of high-frequency trading and obtain stable statistical arbitrage from the financial market in detail. This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. Investors who believe in technical analysis will find out how to verify the efficiency of their technical arguments by ergodic theory of stationary stochastic processes, which form a mathematical background for technical analysis. The authors' arguments are based on rigorous mathematical and statistical deductions and this will appeal
The authors' arguments are based on rigorous mathematical and statistical deductions and this will appeal to people who believe in the theoretical aspect of the topic. . Investors who believe in technical analysis will find out how to verify the efficiency of their technical arguments by ergodic theory of stationary stochastic processes, which form a mathematical background for technical analysis. The authors also discuss technical details of the IT system design for high-frequency trading. From the Inside Flap 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
During this time, he designed the trading system for Shanghai Futures Exchange, China Finance Futures Exchange and many other systems in area of finance. He is an expert in high performance system design. . Zhaodong Wang obtained his PhD degree in computer science from Shanghai Jiaotong University. Weian Zheng was professor of mathematics at the University of California, Irvine, USA for
Highly recommend I'm very glad to have selected this book. It is by no means a complete guide to HFT, in fact the book is quite small, but it fits perfectly for readers like me, who have some general knowledge of financial theory and algorithmic traiding and wish to know real issues and challenges in this area. The sections on market microstructure, IT infrastructure, basic strategies are clearly written by practitioners and for practitioners, which I find exceptionally useful.Besides this is th