Python for Algorithmic Trading
Python for Algorithmic Trading
Summary
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.
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Python for Algorithmic Trading by Yves Hilpisch
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 platformsDr. Yves J. Hilpisch is the founder and CEO of The Python Quants (http: //home.tpq.io), a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading, and computational finance. He is also the founder and CEO of The AI Machine (http: //aimachine.io), a company focused on AI-powered algorithmic trading based on a proprietary strategy execution platform.
Yves has a Diploma in Business Administration, a Ph.D. in Mathematical Finance, and is Adjunct Professor for Computational Finance.
Yves is the author of five books (https: //home.tpq.io/books):
Artificial Intelligence in Finance (O'Reilly, forthcoming)Python for Algorithmic Trading (O'Reilly, forthcoming)Python for Finance (2018, 2nd ed., O'Reilly)Listed Volatility and Variance Derivatives (2017, Wiley Finance)Derivatives Analytics with Python (2015, Wiley Finance)
Yves is the director of the first online training program leading to University Certificates in Python for Algorithmic Trading (https: //home.tpq.io/certificates/pyalgo) and Computational Finance (https: //home.tpq.io/certificates/compfin). He also lectures on computational finance, machine learning, and algorithmic trading at the CQF Program (http: //cqf.com).
Yves is the originator of the financial analytics library DX Analytics (http: //dx-analytics.com) and organizes Meetup group events, conferences, and bootcamps about Python, artificial intelligence, and algorithmic trading in London (http: //pqf.tpq.io), New York (http: //aifat.tpq.io), Frankfurt, Berlin, and Paris. He has given keynote speeches at technology conferences in the United States, Europe, and Asia.
| SKU | Unavailable |
| ISBN 13 | 9781492053354 |
| ISBN 10 | 149205335X |
| Title | Python for Algorithmic Trading |
| Author | Yves Hilpisch |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | O'Reilly Media |
| Year published | 2020-11-30 |
| Number of pages | 350 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |