The AMG Kernel sources Financial information to train AI for inferencing the causal manifestations of sentiment. The Kernel business copyright claim relies on the continuous regulated submissions of integer market data to SEC.gov. The true value of the EDGAR database accretes with each filing event, and empowers subscribers with interactive dashboard control of market data overlays that visualize how sentiment is changing.
The analytics template the market data to train inferences for insights that signal AI and intuitive opportunities.
The dashboard overlays visualize how real and expected securitized asset demand vectors of sentiment are changing; from the Fiduciary's unique perspective in evaluating change.
Each template applies quantitative measures of value to qualitative notions of sentiment that are visualized as signals - to train personal inferences or 'etchings' that learn how relevant sentiment is changing.
The algorithmic tool models 3 Questions at the forefront of changing Financial values to formalize truthful answers:
The data appear on two interactive dashboard templates of continuous assets: real open-end mutual fund (including ETF), and expected professional portfolio vectors of changing market sentiment.
Shared understandings between the Fiduciary and the Customer apply dashboard visualization overlays of truthful dollar-driven capital market continuous asset level and flow data to interactively derived templates that signal and train a cognitive awareness of how sentiment is also changing in non-Financial dimensions, where solipsistic inferences about change and value are also relevant and matter (media, social, rideshare, determinative....).