Unbiased (model free), real-time Machine Learning for time-series.
At its very foundation, business is engaged in counting, including counting with cadence (time-series). It is also true that all business hypotheses can be (re-)phrased as counting problems. Therefore the crucial elements for a “Science of Counting” exist: intelligible data and business hypotheses.
Notably, the Science of Counting can be formulated as Machine Learning and analytically solved. Exactly. No estimates. No simulations.
Produces from a market time-series a set of exact scientific measurements, including, exact values for market energy, probability, market resistance and temperature. An understanding of market dynamics has lead to business insights and value.
