After reading this article, you will be able to detect highs and lows, identify trend types, double tops, and bottoms accordingly. more...
In our previous article, we discussed how equalizers in category theory can be employed to estimate volatility changes using sampled data. In this follow-up article, we will delve into composition and cones in category theory by exploring the significance of various cone setups on the end results of analysis. more...
Gravitational Search Algorithm (GSA) was proposed by E. Rashedi to solve the optimization problem, especially non-linear problems, following the principles of Newton's law of gravitation. In the proposed algorithm, particles are considered as objects and their performance is estimated taking into account their masses. more...
Originally Posted by mql5 The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm that has been used to solve numerous complex problems over the past decade. The Harmony Search algorithm (HS) was first proposed in 2001 by Z. W. Geem. The HS method is inspired by the founding principles of musical improvisation and the search for musical harmony. The combinations of perfect harmony of sounds are matched with the global extremum in the multidimensional ...
For stable trading, it is usually recommended to diversify both the traded instruments and the trading strategies. The same refers to machine learning models: it is easier to create several simpler models that one complex one. But it can be difficult to assemble these models into one ONNX model. In this article, we will consider one of the ensembles called the voting classifier. We will show you how easy it is to implement such an ensemble. ...
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