Covers backtesting, strategy building, and real-time data processing for algorithmic trading
Includes hands-on examples with Python, NumPy, Pandas, and machine learning libraries
Walks through integration with major trading platforms like Oanda and FXCM
Explains how to retrieve financial data from public and proprietary sources
Provides code for market predictions using machine learning and deep learning
Summarized by Shop
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