Autor: James Ma Weiming
Broj strana: 340
ISBN broj: 9781784394516
Izdavač: PACKT PUBLISHING
Godina izdanja: 2015.
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development.
With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance.
You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data.
James Ma Weiming works with high-frequency, low-latency trading systems, writing his own programs and tools, most of which are open sourced. He is currently supporting veteran traders in the, trading pits of the Chicago Board of Trade devising strategies to game the market. He graduated from the Stuart School of Business at Illinois Institute of Technology with a master of science degree in finance.
He started his career in Singapore after receiving his bachelor's degree in computer engineering from Nanyang Technological University and diploma in information technology from Nanyang Polytechnic. During his career, he has worked in treasury operations handling foreign exchange and fixed income products. He also developed mobile applications with a company operating a funds and investments distribution platform.
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