Traditional cycle approaches must take two crucial success factors into consideration: First, which pattern recognition criterion is used performs a major part. Which prominent pattern should be used to prediction or modify specialized indicators? If the wrong pattern is recognized on the “left side” of the graph every dealing and predicting strategy will be fall shortly on the more important “right side” of the graph. However, current “cycle” recognition Google are not developed to effectively deal with the features of economical time sequence. The methods currently being used to recognize periods in marketplaces obtain from the sector of regularity research toolsets like Fourier, DFT, Wavelets or MESA. All of these methods have disadvantages in the recognition of economical industry periods. Secondly, even if the right periods are recognized, economical industry periods are not “static”.
The Invisible Market Beat by Lars von Thienen shows new methods to recognize periods that drive marketplaces.
New methods for cycle/wave recognition are available that are the most efficient and solid on economical time sequence data.
Complete move dealing techniques provided simply depending on periods.
New ways of using cyclic information to business marketplaces are exposed.
New pattern centered signs are ready which are really ahead of the industry.
The better of two worlds:
Trading Systems depending on Astro and actual running periods are provided.
Scientific proof that marketplaces are foreseeable and are not unique is provided.
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