A signal is a useful calculable (structured) relationship between an understanding and a question that forms an answer. - Few, Stephen C., Signal 2015, Analytics Press
The AMG Kernel models 3 Questions to visualize the nature of changing trusted Financial data:
The Kernel connects integer EDGAR sourced data relationships between shared understandings and common questions at the forefront of change, and formalizes truthful answers.
The data are visualized on interactive dashboard templates of continuous assets in open-end fund (including ETF) and professional portfolio vectors of market sentiment.
Each template applies quantitative measures of value to qualitative notions of sentiment that are visualized as signals - to train unique and personal inferences or 'etchings' that learn how relevant sentiment is changing.
EDGAR filings accessed at https://SEC.gov are continuous data that are visualized in cash and securitized asset value vectors of real and expected sentiment.
The algorithmic interactive tool applies shared understandings of truthful dollar-driven capital market continuous data that visualize changing asset levels and flows to template, signal, and train a cognitive awareness of how sentiment is changing in determinative non-Financial dimensions, where solipsistic questions about change and value are also relevant and matter.