Python for Algorithmic Trading

From Idea to Cloud Deployment

Auteurs

• Yves Hilpisch

Paramètres

• Pages: 350 pages
• Temps de lecture: 13 heures

• Affaires et économie
• Économie
• Informatique, programmation
• Science
• Technologie et techniques

En savoir plus sur le livre

Focusing on practical applications, this book guides readers through using Python for algorithmic trading, making it accessible to individuals and small organizations. It covers essential topics such as setting up a Python environment, retrieving financial data, and vectorized backtesting with tools like NumPy and pandas. Additionally, it explores machine learning for market predictions and real-time data processing. By providing insights into automated trading strategies using platforms like OANDA and FXCM, the book empowers traders to compete effectively in the financial markets.

Achat du livre

• Année de publication: 2021
• Reliure: (souple)