Developing systems for advanced machine learning technologies since 2007, in the field of artificial
intelligence and genetic algorithms, as well as engaged in development using
neural networks, optimization and forecasting. My first experiments with genetic algorithms
covered in the article https://www.mql5.com/ru/articles/55
Took an active part in the development of the MT5 platform and spoke with many rational proposals, such as
introduction of support for universal parallel computing on GPU and CPU with OpenCL, testing and backtesting of distributed
computing in the local network and the cloud during optimization in MT5.
You can order any non-standard development of the system, as well as its support.
The concept of random walk involves a model of nonstationarity of the process.
However, the nonstationary model behaves structured and has the property
self-similarity, here you can mention the development of Benoit Mandelbrot in this area.
A random walk belongs to the martingale family and is a well-known fact.
about the impossibility of building a profitable strategy on the martingale.
If you do some kind of transformation over a temporary financial row, you can get
random walk. Based on...
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In this article the author talks about evolutionary calculations with the use of a personally developed genetic algorithm. He demonstrates the functioning of the algorithm, using examples, and provides practical recommendations for its usage.