The AMG Kernel sources Financial sentiment values to train AI for inferencing the causal manifestations of change. The Kernel business copyright claim uses 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 researchers with interactive dashboard control of market data overlays that visualize and template unique sentiment at the forefront of change.
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.
Each overlay templates quantitative measures of value to qualitative notions of sentiment that are visualized as signals - to train personal inferences or 'etchings' and learn how relevant sentiment is changing.
The algorithmic tool models 3 Questions 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 interactive dashboard visualization templates of continuous truthful dollar-driven capital market asset level and flow data that learn, signal and train a cognitive awareness of how American capital market sentiment is visualized in non-Financial dimensions, where inferences about change and value are also relevant and matter (media, social, rideshare, determinative....).