The AMG Kernel is a network connection for subscribers to originate calculable visualizations of sentiment with templates of changing market values that are trued with US data filings submitted to SEC.gov .
The Capital Asset metaphor projects truthful data about changing sentiment in the primary integer data store for market values, real and expected; the $50 Trillion goods and services continuous array of regulated securities markets assets.
The metaphor uses true value to enable and render a unique and personal interactive understanding of 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 levels and flows data reported in millions of submissions to the SEC.
The Public data source structure is accessed for interactive dashboard analytics of securitized asset levels and flows along non-fundamental market data sentiment vectors.
Interactive dashboards filter the continuous submissions of regulated share and price levels and flows of the market asset data; then visualize templates that merge data and analytics with visualization software like Tableau, AWS QuickSight, or ad hoc.
The interactive dashboards project signals that visualize questions about how the data are changing; How much? How many? How fast?, and whether a sequence exists that raises questions of coincidence, seasonality, or an unidentified pattern in the time series that signals the causal manifestation of the change.
The data are computed along a corporate and cusip ID framework calculating changing securitized asset price relationships and patterns that infer signals in the continuous values.
Financial market sentiment is visualized in two regulated data vectors along multidimentional paradigms of value: securitized asset levels of professionally managed portfolios, and mutual fund (including ETF) net investor flow metadata.
The continuous price values of corporate shares and assets identify a vector of professional sentiment changes in the expected market value of securities.
Similarly the continuous value of mutual fund (including ETF) assets identify a vector of changing investor sentiment toward real cash investment in the markets.
Measurements of the speed that each of the two vectors of sentiment is changing, using 4-13 week moving averages, greatly enhances the quality of the visualization.
Secure Private cloud access available to 50 million submissions: (1993-2025YTD) of thousands of corporate issues of millions 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 unique and personal understandings of change in dollar-driven value vectors of sentiment using dashboard templates of continuous US financial market data.