In the previous article "Neural network in practice: Straight Line Function", we were talking about how algebraic equations can be used to determine part of the information we are looking for. This is necessary in order to formulate an equation, which in our particular case is the equation of a straight line, since our small set of data can actually be expressed as a straight line. All the material related to explaining how neural networks work is not easy to present without understanding ...
China's AI assistant has officially entered the chat, and it's putting the U.S. on notice. DeepSeek surged to the top of Apple's App Store over the weekend, surpassing OpenAI's ChatGPT with lightning-fast, highly logical responses. Some users claim its natural language processing, ...
We will look at the development cycle of a trading robot: data collection, processing, sample expansion, feature engineering, model selection and training, creating a trading system via Python, and monitoring trades. Working in Python has its own advantages: speed in the field of machine learning, as well as the ability to select and generate features. Exporting models to ONNX requires exactly the same feature generation logic as in Python, which is not easy. That is why I have selected ...
Welcome back to our MQL5 series! We'll discuss a fascinating subject in this chapter that I believe you'll find very useful and fascinating. We looked at how to use MQL5's built-in indicators in the last chapter, paying particular attention to the RSI. Not only that, but we even worked on a practical project that showed you how to incorporate the RSI into your trading approach with ease. We're going one step further this time by including not one but three potent indications in our project (RSI, ...
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