Grisafi Rheomonics provides harmonic analysis for prominent components of financial markets. As recognized earlier at Grisafi Finance Rheology periodicity needs to be distinguished from the regularity of the data reporting time schedule. The periodicity analyses conducted at Grisafi Finance Rheology evaluate toy markets composed of the nearest most prominent trades expected for a selected financial component. Consequently, the periodicity spectrum contains contributions from all three components included within the toy market analysis. Here at Grisafi Rheomonics one finds the effort to decompose the toy market spectrum by evaluation of the periodicity for its individual components.

The single most distinguishing feature between the two approaches is that the toy market analyses utilize an eigenvalue ratio while for a single component analysis the raw price data is utilized directly. Both approaches must continue to include the time schedule basis in order to maintain the distinction of periodicity from regularity. The four analyses presented here all use the same time schedule basis of six data readings per week for a 52 week rolling basis.

There are two procedures in which to evaluate a financial Fourier spectrum. One may either list the data in chronological order of the time schedule. Or one may list the data in chronological order of the financial price data. For the announcement article Periodicity the Fourier spectra were evaluated by listing the data in the chronological order of the time schedule. On this domain Grisafi Rheomonics the Fourier spectra are evaluated using the listing of the data by the chronological order of the financial price data. Both procedures have their own particular merits. One can always distinguish the two procedures by looking at the center-line of the amplitude on the graphs. The center-line of the amplitude for the price data chronological order is always zero.

The advantage of the time schedule chronological order procedure is that it enables the determination of such phenomena as beats. The price data chronological order has the advantage of simple determination of the dominant period. It is always the largest peak in the spectrum. Both procedures cast the same information. The difference is the manner in which the spectra must be evaluated.