Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for linear or nonlinear classification and regression tasks, and sometimes outlier detection tasks. Unlike Bayesian classification techniques, and logistic regression which deploy simple mathematical models to classify information, The SVM has some complex mathematical learning functions aimed at finding the optimal hyperplane that separates the data in an N-dimensional space. Support ...
[QUOTE]When I read the article: Benefiting from Forex market seasonality, I thought of this to make this what I think is an interesting article. I could start comparing an EA with and without seasonality's and with to see if it can benefit. I all ready new that markets depend on seasonality since I read that the Mark Zuckerberg got the money for Facebook, from an investor that got his money investing the one that they gave him in the Bar Mitzvah in stocks of petrol when the ...
The rapid advancement of artificial intelligence in today's technological landscape has sparked discussions regarding the future of coding. Some argue that code produced by AI could replace the need for conventional coding knowledge. But nothing could be further from reality than this. This article seeks to dispel this myth and highlight the importance of knowing how to code. We're going to reveal ways you can incorporate AI-generated code into our programming projects in a seamless way so ...
In the previous article, we completed the implementation of a CSV file management class for storing and retrieving data related to financial markets. Having created the infrastructure, we are now ready to use this data to build and train a machine learning model. Our task in this article is to implement a regression model that can predict the closing price of a financial asset within a week. This forecast will allow us to analyze market behavior and make informed decisions ...
In the current article, we will talk in more detail about the importance of passing meaningful data, the so-called time series, in a neural network. In particular, we will pass our favorite indicators. To achieve this, I will introduce some new concepts that I use while working with neural networks. Although, I think this is not the limit, and over time I will have a new vision in understanding what and how exactly needs to be passed. more...
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