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Normalization of inputs is an important step in preparing data for training neural networks. This process allows us to bring the inputs to a certain range of values, which helps to improve the stability and speed of training convergence. more...
We will try to cover the most popular points about these previous topics to well understand what we need to deal with as programmers or developers. more...
.. implementation of a simple template that allows you to create a universal robot for multiple charts in MetaTrader 4 and 5. more...
Most forex and crypto traders that look to exploit short term movements are plagued by the lack of fundamental information that could aid their endeavours. This is where standard time series techniques could help . George Box and Gwilym Jenkins developed what is arguably the most revered method of time series prediction. Although a number of advances have come about that improve on the original method, the underlying principles are still relevant today. ...
Fourier transform is a method of decomposing a wave of data points into possible constituent parts that was introduced by Joseph Fourier. Integrating over all possible frequencies in the Fourier transform gives us a spectrum of components because it breaks down the original function into its constituents, each corresponding to a different frequency component. more...
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