Machine Learning for Algorithmic Trading Bots with Python
Practical Machine Learning for Financial Analysis and Trading Strategies
Created by Mustafa Qamar-ud-Din
Explore how machine learning powers algorithmic trading by building and evaluating models tailored for financial markets. Gain practical experience applying modern tools and techniques to create trading strategies that can adapt to real-world data. Develop the skills needed to analyze, test, and improve your own trading bots.
Packt | Feb 2019 | 290 min
What You Will Learn
You will start by learning key financial concepts and how they connect with machine learning. Step by step, you will code trading algorithms, analyze data, and use proven techniques to improve model performance. Visual explanations and hands-on coding walkthroughs help you understand both the theory and practical application for each topic.
Key Features
- Design and test machine learning models for real financial market data
- Apply backtesting to validate and refine trading strategies effectively
- Master feature engineering and ensemble methods for robust trading bots
Target Audience
Perfect for data science enthusiasts and professionals with basic Python skills who want to break into finance or trading. If you are aiming to build your own trading bots, land a job in financial technology, or simply understand how machine learning shapes modern markets, you will find clear guidance and actionable skills here.
