Our latest
development combines our cycles approach with powerful machine learning. This
approach combines cycle detection and its use for machine learning algorithms
and opens the door to unprecedented possibilities for Cycle
Forecasting. This approach is different from traditional cycle approaches
in that this is the first time that a dynamic approach to cycles has been
presented. The genetic algorithm of our standalone module can even be used in
combination with our scripting engine to develop automatic trading systems with
all integrated technical indicators; it is highly flexible and can be
customized to fit any need.
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