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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
November 2020 |
Authors: |
Yves Hilpisch
|
Dimensions: |
233 x 178 x 20mm (L x W x T) |
Format: |
Paperback
|
Pages: |
350 |
ISBN-13: |
978-1-4920-5335-4 |
Categories: |
Books
|
LSN: |
1-4920-5335-X |
Barcode: |
9781492053354 |
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