Overfitting in machine learning can take on many different forms. Most commonly, it happens when an AI model learns too much of the noise in the data, and fails to make any useful generalizations. This leads to dismal performance when we assess the model on data it has not seen before. There are many techniques that have been developed to mitigate overfitting, but such methods can often prove challenging to implement, especially when you are just getting started on your journey. However, ...
In this article, we build upon our previous work on the MetaQuotes Language 5 (MQL5) Economic Calendar, where we developed a News dashboard panel for displaying economic events in real time. Now, we will enhance this dashboard by implementing specific filters for currency, importance, and time, allowing traders to focus only on the news events most relevant to their strategies. These filters will provide a targeted view of market-moving events, helping to streamline decision-making and improve ...
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