The AMG Kernel is a connection for Fiduciaries and their Customers to originate unique visualizations of changing sentiment with templates of Truthful continuous market data in the EDGAR database that accretes in value with each filing submission.
The Capital Asset metaphor projects truthful data about changing sentiment in the primary integer data store for market values, real and expected; the $60 Trillion goods and services continuous integer array of regulated securities markets assets.
The metaphor uses true value to signal unique and personal interactive insights into the causal manifestations of economic change with templates of market data accessed at EDGAR.
The metaphor is visualized using time-series analytics of market asset data reported in tens of millions of submissions to the SEC.
The Public data source is accessed for interactive dashboards of securitized asset levels and flows that template non-fundamental market data sentiment vectors of value.
Interactive dashboards filter the continuous submissions of regulated share and price levels and flows of the market asset data; then visualize templates that unify data and analytics with visualization software features available in Tableau, AWS QuickSight, or ad hoc.
The interactive dashboards visualize How the data are changing: How much? How many? How fast?, and form an answer in the time series that signals the causal manifestation of the change.
The data reside in a corporate and cusip ID framework calculating changing securitized asset price relationships and patterns that infer from signals in the continuous values - to train AI.
Financial market sentiment is visualized in two regulated data vectors along the multidimentional paradigms of value: securitized asset levels of professionally managed portfolio data, and mutual fund (including ETF) net investor flow metadata.
The continuous value of mutual fund (including ETF) assets identify vectors of changing investor sentiment toward real cash investment in the markets:
s3://valuevector1 - Retail and Professional investor cash demand for securities in open-end mutual fund (including ETF) net flow metadata.
Similarly, the continuous price values of corporate shares and assets identify a vector of professional sentiment changes in the expected market value of securities:
s3://valuevector2 - Professional market demand for securities in portfolio asset, price, and share data filings submissions to the SEC.
The metaphor produces Truthful visualization overlays of changing value:
s3://valuevector3,4,5.... - Fiduciary and Customer Learning Visualization Templates of Value
Measurements of how the speed that each of the two vectors of sentiment is changing, using 4-13 week moving averages, greatly magnifies the quality of the visualization.
Secure Private cloud access available to millions of submissions: (1993-2025YTD) by thousands of corporate issues of securities position levels and flows heading sets of EDGAR forms of financial data filings .
Subscribers are empowered to interactively visualize structured data templates of Capital Asset vectors of sentiment that True and expand the visualizations to non-Financial and unregulated dimensions of change.
Subscribers gain uniquely shared and personal understandings of change in dollar-driven value vectors of sentiment, and derive interactive dashboard templates of continuous US financial market data to Train AI.
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