Python for Algorithmic Trading: From Idea to Cloud Deployment (Early Release: Raw & Unedited)

EARLY RELEASE: Has only first three chapters.

The financial industry is adopting Python at an increasing rate. Top hedge funds use the language on a daily basis for quantitative research, data exploration, and analysis and for prototyping, testing, and executing trading strategies. There’s also a rise in trading activity by individuals and small groups of traders, including many from the technology world.

This book is ideal for Python developers, tech-savvy discretionary traders, data analysts, and people who want to become Algo trading professionals or trade their own funds. Author Yves Hilpisch focuses on the practical application of programming to trading rather than theoretical computer science. If you're looking for a guide to help you perform algorithmic, fully-automated trading, this book is for you.

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