Python for Algorithmic Trading

Name: Python for Algorithmic Trading
Rating: 4.599999904632568 (5 reviews)

Yves Hilpisch

Nov 2020 · "O'Reilly Media, Inc."

4.6

Maoni 5

Kitabu pepe

380

Kurasa

Kimetimiza masharti

Ukadiriaji na maoni hayajahakikishwa Pata Maelezo Zaidi

Kuhusu kitabu pepe hiki

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

Ukadiriaji na maoni

4.6

Maoni 5

Kuhusu mwandishi

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).

Kadiria kitabu pepe hiki

Tupe maoni yako.

Kusoma maelezo

Simu mahiri na kompyuta vibao

Sakinisha programu ya Vitabu vya Google Play kwa ajili ya Android na iPad au iPhone. Itasawazishwa kiotomatiki kwenye akaunti yako na kukuruhusu usome vitabu mtandaoni au nje ya mtandao popote ulipo.

Kompyuta za kupakata na kompyuta

Unaweza kusikiliza vitabu vilivyonunuliwa kwenye Google Play wakati unatumia kivinjari cha kompyuta yako.

Visomaji pepe na vifaa vingine

Ili usome kwenye vifaa vya wino pepe kama vile visomaji vya vitabu pepe vya Kobo, utahitaji kupakua faili kisha ulihamishie kwenye kifaa chako. Fuatilia maagizo ya kina ya Kituo cha Usaidizi ili uhamishe faili kwenye visomaji vya vitabu pepe vinavyotumika.

Ripoti maudhui yanayokiuka sera