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"Python and Quantitative Investment from Basics to Practical Practice" pdf download and read online, please ask for Baidu Netdisk cloud resources

"Python and Quantitative Investment" (Wang Xiaochuan) e-book network disk download for free online reading

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Link: /s/1az6G1OqbcA9LO1hrjP5xEA extraction code :iu8o

Book title: Python and quantitative investment

Author: Wang Xiaochuan

Douban score: 6.8

Publisher: Electronic Industry Publisher

Publishing year: 2018-3

Number of pages: 424

Content introduction:

This book mainly explains how to use Python Conduct quantitative investment, including data acquisition, organization, analysis and mining, signal construction, strategy construction, backtesting, strategy analysis, etc. This book is also a guide to using Python for data analysis. It has a large number of applications in data processing and analysis, and will focus on how to effectively use Python to solve investment strategy problems. This book is divided into two parts: Python basics and quantitative investment: the Python basics part mainly explains the basics of Python software, various important modules and how to solve common data analysis problems; the quantitative investment part is based on the Python basics part and explains how to use optimized methods. Mine (uqer.io) backtesting platform implements mainstream strategies and advanced customized strategies.

This book can be used as a tool for professional financial practitioners to conduct quantitative investment, and can also be used as an introductory reference book in the financial field. There is a large amount of Python code and Python quantitative strategy implementation code in this book. Especially for the implementation code of quantitative strategies, readers can directly modify it themselves and obtain the historical backtest results of the strategy, and even directly apply the code. Make an investment.

About the author:

Wang Xiaochuan, senior analyst of financial engineering at Huachuang Securities Research Institute, well-known domestic MATLAB and Python training expert, one of the founders of MATLABSKY, CDA course of the National People’s Congress Economic Forum Python gold medal instructor. Engaged in quantitative investment-related work, responsible for teaching statistics courses in some universities, long-term research on the application of machine learning in statistics, proficient in MATLAB, Python, SAS and other statistical software, keen on data analysis and data mining, with solid knowledge Theoretical foundation and rich practical experience. Author of "MATLAB Neural Network 30 Case Analysis" and "MATLAB Neural Network 43 Case Analysis".

Chen Jie, head of the financial engineering team of Huachuang Securities Research Institute, holds CFA and FRM qualifications. He has been engaged in quantitative development work since 2009. Before joining CRE, he served as the chief analyst of financial engineering at Shenwan Hongyuan Research Institute.

Lu Wei is a financial engineering analyst at Huachuang Securities Research Institute and a former quantitative analyst at Youkuang.com. He is a senior user of Youkuang.com and has shared many high-quality quantitative research reports on Youkuang.com. Good at using Python to conduct quantitative investment research.

Liu Binyi holds a master's degree in engineering from Shanghai Jiao Tong University. His research interests include fracture mechanics and fluid mechanics. He is good at Python programming, statistical modeling and web development. He is now a new recruit in the quantitative investment industry and is growing rapidly.

Qin Xuanjin holds a master’s degree in accounting from Shanghai University of International Business and Economics. He has two years of quantitative investment experience and his research direction is corporate finance.

Su Bo holds a master's degree in financial information engineering from Shanghai University of Finance and Economics. His main research direction is financial big data analysis.

Xu Shenggang holds a master's degree in Western Economics from Fudan University. He has a strong foundation in mathematics and science. He loves programming and strategy research. He is proficient in programming languages ????such as Python and MATLAB. He has 3 years of experience in financial engineering strategy research and is good at timing and event strategies. .