Free good channels (which we can subscribe to) with some information about trading and coding, and for now - the channels about the articles and about new free tools in CodeBase (it is recommended to subscribe because the tools are totally free by source codes): RU - https://www.mql5.com/ru/channels/algo-trading-ru EN - https://www.mql5.com/en/channels/algo-trading-en ES - https://www.mql5.com/es/channels/algo-trading-es FR - https://www.mql5.com/fr/channels/algo-trading-fr ...
The concept of volatility in the financial market is very important to understand and to make it work in your favor when you are trading in the market. The main purpose of this article is to help you save time by providing you with many test results for trading systems based on the concept of volatility using the Keltner Channel technical indicator to find out how it can work as part of your complete system to measure volatility or take action under certain conditions concerning this important concept. ...
More to follow about good free channels (which we can subscribe to) for some information about trading and coding), and for now - the channels about the articles and about new free tools in CodeBase (it is recommended to subscribe): RU - https://www.mql5.com/ru/channels/algo-trading-ru EN - https://www.mql5.com/ru/channels/algo-trading-en ES - https://www.mql5.com/ru/channels/algo-trading-es FR - https://www.mql5.com/ru/channels/algo-trading-fr PT - https://www.mql5.com/pt/channels/algo-trading-pt ...
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 ...
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