Introduction

This is the continuation of Deep Learning Forecast and Order Placement using Python, the MetaTrader5 Python package and an ONNX model file, but you continue this one without the previous one. All will be explained. Everything we will use is included in this article. In this section, we will guide you through the entire process, culminating in the creation of an Expert Advisor (EA) for trading and subsequent testing.

Machine learning is a subset of artificial intelligence (AI) that focuses on developing algorithms and statistical models that enable computers to perform tasks without being explicitly programmed. The primary goal of machine learning is to enable computers to learn from data and improve their performance over time.

How models work

Let use of the basic principles underlying the operation and application of machine learning models. While this may seem elementary to those who already have experience with statistical modeling or machine learning, rest assured that we will quickly move on to developing sophisticated and robust models.

We will initially focus on a model known as a decision tree. While there are more complicated models that offer higher predictive accuracy, decision trees serve as an accessible entry point due to their simplicity and fundamental role in constructing some of the most advanced models in the field of data science.

To simplify things, let us start with the most rudimentary form of a decision tree.