Python for Algorithmic Trading: From Idea to Cloud Deployment

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