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...
When optimizing trading systems, the most exciting things are metaheuristic optimization algorithms. They do not require knowledge of the formula of the function being optimized. Population algorithms involve the simultaneous handling of several options for solving the optimization problem and represent an alternative to classical algorithms based on motion trajectories whose search area has only one candidate evolving when solving the problem. more...
We continue our immersion in the world of artificial intelligence. What is Transfer Learning and why do we need it? Transfer Learning is a machine learning method in which the knowledge of a model trained to solve one problem is reused as a basis for solving new problems. Of course, to solve new problems, the model is preliminarily additionally trained on new data. In the general case, with a properly selected donor model, additional training runs much ...
Here is a new article from our series about how to design a trading system based on the most popular technical indicators. In this article, we will learn in detail about the Alligator indicator by learning what it is, it measures, how we can calculate it, and how we can read and use it. Then we will create a trading system based on some simple strategies based on the main objective of this indicator. more...
Our experiments have confirmed the effectiveness of autoencoder models. Pay attention that we used fully connected neural layers to train autoencoders. Such models work with a fixed input data window. The algorithm we have built can training any models operating with a fixed input data window. But the architecture of recurrent models is different. To make a decision on the activation of neurons, such models also use their previous state, in addition to ...
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