Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : 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. N° de réf. du vendeur LU-9781492053354
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Paperback. Etat : new. Paperback. The financial industry is adopting Python at an increasing rate.Top hedge funds use the language on a daily basis for quantitative research, data exploration, and analysis and for prototyping, testing, and executing trading strategies. There's also a rise in trading activity by individuals and small groups of traders, including many from the technology world.This book is ideal for Python developers, tech-savvy discretionary traders, data analysts, and people who want to become Algo trading professionals or trade their own funds.Author Yves Hilpisch focuses on the practical application of programming to trading rather than theoretical computer science. If you're looking for a guide to help you perform algorithmic, fully-automated trading, this book is for you. Algorithmic trading 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781492053354
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