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This is a repository for the LinkedIn Learning course Practical Python for Algorithmic Trading

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Python 0.04% HTML 27.47% Jupyter Notebook 72.47% Dockerfile 0.02%

algorithmic-trading-py's Introduction

Practical Python for Algorithmic Trading

This is the repository for the LinkedIn Learning course Practical Python for Algorithmic Trading. The full course is available from LinkedIn Learning.

Practical Python for Algorithmic Trading

If you work in finance or have any interest in investing and trading, you know that there’s a treasure trove of financial data available to you at any moment. But how can you use all that information to your advantage? Algorithmic trading using machine learning techniques can help you make trading decisions based on data. In this course, Jesus Lopez teaches you about data preprocessing, feature engineering, and how to use advanced machine learning models to enhance your trading strategies. He shows you how to download stock market data from Yahoo Financeto be trained on machine learning models that predict the future, and how to create investment decisions based on the predictions. Learn how to optimize your strategies, understand backtesting techniques, and interpret performance reports with confidence.

Instructor

Jesus Lopez

Check out my other courses on LinkedIn Learning.

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