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Python for Algorithmic Trading: From Idea to Cloud Deployment - Yves Hilpisch

Name: Python for Algorithmic Trading: From Idea to Cloud Deployment - Yves Hilpisch
Brand: Yves Hilpisch
Price: 446.35 RON
Availability: InStock

Vânzător

libris.ro

Cumpără

Pret

446.35 Lei 495.94 Lei

Categorie (vânzător)

Computers

Marca

Yves Hilpisch

Produs actualizat în urmă cu 3 ore

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Python for Algorithmic Trading: From - Disponibil la libris.ro

Pe YEO găsești Python for Algorithmic Trading: From de la Yves Hilpisch, în categoria Computers.

Indiferent de nevoile tale, Python for Algorithmic Trading: From Idea to Cloud Deployment - Yves Hilpisch din categoria Computers îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 446.35 Lei

Caracteristicile produsului Python for Algorithmic Trading: From

Brand: Yves Hilpisch
Categoria: Computers
Magazin: libris.ro
Ultima actualizare: 17-04-2026 14:21:17

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Descriere magazin:
Algorithmic 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. 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. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms

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