To it finish, exploitation daily knowledge covering the amount from 1935 to 2013, ancient cycles area unit condidered as predictors to forecast daily sentiment for years prior to time. In addition, the book introduces new non-linear indicators and reviews the importance of a cyclic sentiment predictor for the Dow-Jones Industrial Average Industrial Average Index. Over the last thirty years once back-tested exploitation the Dow.
Digital signal process techniques area unit accustomed reverse engineer Gann’s master cycles, leading to a 100% mechanical cycle-based commercialism system that has shown a combined rate of two hundredth p.a. The book introduces correlations between markets and external energy cycles like gravity and geomagnetism.
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