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Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dr. 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).
"Sobre este título" puede pertenecer a otra edición de este libro.
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Python for Algorithmic Trading
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Python for Algorithmic Trading
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781492053354
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PYTHON FOR ALGORITHMIC TRADING
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Python for Algorithmic Trading: From Idea to Cloud Deployment (Paperback or Softback)
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O'Reilly Media 12/8/2020, 2020
ISBN 10: 149205335X
ISBN 13: 9781492053354
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Python for Algorithmic Trading
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: New. 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 tradingLearn how to retrieve financial data from public and proprietary data sourcesExplore vectorization for financial analytics with NumPy and pandasMaster vectorized backtesting of different algorithmic trading strategiesGenerate market predictions by using machine learning and deep learningTackle real-time processing of streaming data with socket programming toolsImplement automated algorithmic trading strategies with the OANDA and FXCM trading platforms. Nº de ref. del artículo: LU-9781492053354
Cantidad disponible: Más de 20 disponibles
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Python for Algorithmic Trading: From Idea to Cloud Deployment
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Condición: New. In. Nº de ref. del artículo: ria9781492053354_new
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Python for Algorithmic Trading : From Idea to Cloud Deployment
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Condición: New. Nº de ref. del artículo: 41491784-n
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Python for Algorithmic Trading: From Idea to Cloud Deployment
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Python for Algorithmic Trading
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: New. 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 tradingLearn how to retrieve financial data from public and proprietary data sourcesExplore vectorization for financial analytics with NumPy and pandasMaster vectorized backtesting of different algorithmic trading strategiesGenerate market predictions by using machine learning and deep learningTackle real-time processing of streaming data with socket programming toolsImplement automated algorithmic trading strategies with the OANDA and FXCM trading platforms. Nº de ref. del artículo: LU-9781492053354
Cantidad disponible: Más de 20 disponibles
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Python for Algorithmic Trading : From Idea to Cloud Deployment
Publicado por
O'Reilly Media, 2020
ISBN 10: 149205335X
ISBN 13: 9781492053354
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41491784
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