This tool uses difference measures between 14 observations within a fuzzy set to produce a number of moving average type indicators. After each cycle of the process a number of ‘average’ lines are produced. Each difference value between observations is a relative position value against its neighbours, and cascades with each run of the cycle. A Ratio between all lines is fed into a decision tree AI, to recognise patterns of the original data stream. The model can be combined with the Capstone Methodology to provide an overarching view of the Omnisignatures at parent level.
