New article Forecasting market movements using the Bayesian classification and indicators based on Singular Spectrum Analysis has been published:
The article considers the ideology and methodology of building a recommendatory system for time-efficient trading by combining the capabilities of forecasting with the singular spectrum analysis (SSA) and important machine learning method on the basis of Bayes' Theorem.
Since the price predictions presented in the Figure 1 contain a set
of errors in direction, let us find out how a combination of the
indicators allows reducing the number of such errors. The difference in
the values of the actual and predicted price in Figure 1 is irrelevant,
because it does not cause losses when in a concordant position.
There are values: (MACD-Signal), difference derivatives for series of
the actual and predicted price and stochastic, smoothed by three
points. The consistency of the conditions defined earlier, which
indicate the direction of the price change, is further used to analyze
the efficiency of their combination.
Figure 5. Concurrency of the actual and predicted directions of the changes in price when using three indicators
Author: Roman Korotchenko
Very interesting article and the results definitly warrant further investigation; however, the attached EA has a problem with the library so it is unable to be loaded. Are you sure you have the correct library included in the zip file?
SSABayesLib.ex5 also does not load for me.
The article is interesting. So are the comments in the Russian section https://www.mql5.com/ru/forum/190847