High-Frequency Trading and Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


High-Frequency Trading and Probability Theory

简体网页||繁体网页
Zhaodong Wang 作者
World Scientific Publishing Company
译者
2014-11-5 出版日期
192 页数
USD 46.00 价格
Paperback
丛书系列
9789814616515 图书编码

High-Frequency Trading and Probability Theory 在线电子书 图书标签: 高频交易  金融  量化  交易  程序化交易  交易理论与哲学  中国  microstructure   


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发表于2024-06-14


High-Frequency Trading and Probability Theory 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

High-Frequency Trading and Probability Theory 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

High-Frequency Trading and Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



High-Frequency Trading and Probability Theory 在线电子书 用户评价

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最初读到这本书是因为我在本书作者王兆东创立的公司工作。读此书让我发现了自己所知甚少,于是不得不恶补书中所涉及的各种基础知识。

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重点是中国的高频交易,值此改革之际,可速读。难度较低,识记较多

评分

最初读到这本书是因为我在本书作者王兆东创立的公司工作。读此书让我发现了自己所知甚少,于是不得不恶补书中所涉及的各种基础知识。

评分

最初读到这本书是因为我在本书作者王兆东创立的公司工作。读此书让我发现了自己所知甚少,于是不得不恶补书中所涉及的各种基础知识。

评分

最初读到这本书是因为我在本书作者王兆东创立的公司工作。读此书让我发现了自己所知甚少,于是不得不恶补书中所涉及的各种基础知识。

High-Frequency Trading and Probability Theory 在线电子书 著者简介

Zhaodong Wang obtained his PhD degree in computer science from Shanghai Jiaotong University. He is an expert in high performance system design. He was the CEO of Shanghai Futures Information Technology Corp. Ltd. During this time, he designed the trading system for Shanghai Futures Exchange, China Finance Futures Exchange and many other systems in area of finance. Later, he set up a hedge fund focus on high frequency trading.

Weian Zheng was professor of mathematics at the University of California, Irvine, USA for 21 years. He obtained his Doctor of Science degree from University of Strasbourg, France. He is currently professor and chair of Department of Financial Engineering, East China Normal University, Shanghai, China.


High-Frequency Trading and Probability Theory 在线电子书 图书目录


High-Frequency Trading and Probability Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

High-Frequency Trading and Probability Theory 在线电子书 图书描述

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 mathematical and statistical deductions and this will appeal to people who believe in the theoretical aspect of the topic.

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