Here the wallet signal leads the price signal, in day 120 of the sample in a cycle of approximately 4-6 days, where both signals are also strongly correlated. In the case of unruly distributions, the results are enhanced in combination with other methods (e.g. Granger causality \cite{Auinger_2015}, Bayesian structural time series models \cite{Brodersen_2015}, among others). The key realization is that although market behaviour (network dynamics) is not the same as market conditions (market structure), the intelligent agent can use the same graphical metaphor to gain context, and predict the counterfactual response.
Use of low complexity property testing methods by decentralized blockchain agents
Neighborhood Asymmetry
function which sums the vectors from the dataRecord to the neighbors implictly defined by the supplied dataMatrix and returns the length of this resulting neighborhood directionality normalized by the number of neighbors. Thus, this metric is primarily concerned with the symmetry of the neighbor distribution but also contains a contribution from the distance to each of the neighbors. In this form, a 2-norm is used to compute the distances.
InformationMetric ... measure the information content of each sample.
measure the maximum distance between any one of the variables
response variable is fees