Qarma’s algorithmic engine monitors lists of financial assets, predominantly ETFs and sector funds, but also single stocks and baskets. The vast amount of data collected from these lists, which could date as far back as 15 years, is processed so that price can be split into 12 different spectrums.
These spectrums are not light spectrums as such; rather, they are best described as circular helixes. Each spectrum has an orientation to time, so there is arguably a similarity to moving averages. But the similarity stops there. We call these spectrums Harmonic Timing Strings.