Among all the considered models, CNN-LSTM models have generated the best results during the experiments. In this article, we will consider how to create such a model to forecast financial timeseries and how to use the created ONNX model in an MQL5 Expert Advisor. more...
In our previous article, we delved into monoid groups, by exploring concept of symmetry within typical monoids. In introducing an additional axiom that all members of a monoid group must possess an inverse and restricting binary operations between mirror elements to yield the identity element, we extended applicability of monoids at crucial trade decision points. Building upon this, we now continue our study of category theory and its practical applications ...
This is MT5 version of famous WmiFor forecasting indicator - ---------------- WmiFor 3.5 for MT5 (with DTW engine) - indicator for MetaTrader 5 This indicator predicts possible future price movements by searching for similar candle patterns in the rate history. This is an adaptation of original indicator WmiFor 3.0 (with dynamic time warping engine, DTW) for MetaTrader 4 .
Gold Dust - expert for MetaTrader 5 The trading system is based on the future price direction forecast, which is implemented by selecting weight coefficients of an elementary single-layer neural network.
The article Implementing an ARIMA training algorithm in MQL5, describes the CArima class for building ARIMA models. Although it is technically possible to use the class as it is to apply a model and make predictions, it is not intuitive. In this article we will address this shortcomming and extend the class to enable easier to use methods for applying models to make predictions. We will discuss some of the complications related to implementing predictions ...
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