Is a Machine learning paradigm for problems where the available data consists of unlabeled examples. Unlike supervised learning techniques such as regression methods, SVM, decision trees, neural networks, and many others discussed in this article series, where we always have labeled datasets that we fit our models upon. In unsupervised learning, the data is unlabeled so, it's up to the algorithm to figure out the relationship and everything else on itself. ...
Any technical indicator is based on a certain algorithm for processing market information. As a rule, prices are used as initial data. Speaking in the language of math, the indicator is a function that converts prices into some final result. In this article, I will consider linear functions that can be used to build an indicator. more...
In the previous article in this series, we have created a tool to take advantage of the Transfer Learning technology. As a result of the work done, we got a tool that allows the editing of already trained models. Furthermore, the created tool allows not only editing trained models. It also allows creating completely new ones. Such a useful toll should also be as user friendly as possible. Thus, in this article, we will try to improve its usability. more... ...
A new article with a new technical indicator in our series as we will learn how to design a trading system based on one of the most popular technical indicators that's the Fractals indicator. more...
After reading this article, you will receive a complete and working mathematical model, as well as learn to understand and correctly calculate everything related to orders. more...
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