{"product_id":"python-for-algorithmic-trading-from-idea-to-cloud-deployment-paperback","title":"Python for Algorithmic Trading: From Idea to Cloud Deployment - Paperback","description":"\u003cp\u003eby \u003cb\u003eYves Hilpisch\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAlgorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. \u003c\/p\u003e\u003cp\u003e You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSet up a proper Python environment for algorithmic trading \u003c\/li\u003e\n\u003cli\u003eLearn how to retrieve financial data from public and proprietary data sources \u003c\/li\u003e\n\u003cli\u003eExplore vectorization for financial analytics with NumPy and pandas \u003c\/li\u003e\n\u003cli\u003eMaster vectorized backtesting of different algorithmic trading strategies \u003c\/li\u003e\n\u003cli\u003eGenerate market predictions by using machine learning and deep learning \u003c\/li\u003e\n\u003cli\u003eTackle real-time processing of streaming data with socket programming tools \u003c\/li\u003e\n\u003cli\u003eImplement automated algorithmic trading strategies with the OANDA and FXCM trading platforms \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http: \/\/tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http: \/\/cqf.com), on data science at htw saar University of Applied Sciences (http: \/\/htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 378\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.1 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 22, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47413507424434,"sku":"9781492053354","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/9f9415e25d29e1338e845e24b243163c.webp?v=1778351806","url":"https:\/\/box.dadyminds.org\/products\/python-for-algorithmic-trading-from-idea-to-cloud-deployment-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}