
Sách keo gáy, bìa mềm
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
Categories:Computers - Programming
Year:2021
Edition:1
Language:english
Pages:390