Python for Algorithmic Trading
This book by Yves Hilpisch provides an insightful introduction to using Python in the realm of algorithmic trading. Covering various practical applications and techniques, it is aimed at students, academics, and practitioners in the finance sector.
Key Features:
- Set up a proper Python environment for algorithmic trading.
- Learn how to retrieve financial data from public and proprietary sources.
- Explore vectorization for financial analytics with NumPy and pandas.
- Master vectorized backtesting of different algorithmic trading strategies.
- Generate market predictions utilizing machine learning and deep learning techniques.
- Handle real-time processing of streaming data with socket programming tools.
- Implement automated algorithmic trading strategies utilizing OANDA and FXCM platforms.
Download Links:
| Format | Link |
|---|---|
| EPUB | Download here |