Machine Learning for Algorithmic Trading | Part 2 Preparing Data and Training

In Part 2, you will learn how to select the most important features to extract and clean your data.

In this series, quantitative trader Trevor Trinkino will walk you through a step-by-step introductory process for implementing machine learning and how you can turn this into a trading algorithm using Python. Plus he will show you the process of tuning your parameters for better performance of your trading system.

For additional resources on algorithmic trading, python, machine learning, API, and more please visit https://www.quantnews.com/resources/

Remember that forex and CFD trading can result in losses that could exceed your deposited funds and therefore may not be suitable for everyone, so please ensure that you fully understand the risks involved.

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