The AMG Kernel is a network connection where subscribers originate calculable visualizations of changing sentiment with templates of value that are trued with US data filings submitted to SEC.gov .
The Capital Asset metaphor for sentiment computes relevant and meaningful information in the primary integer data store for changing values, real and expected , the $50 Trillion goods and services 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 https://SEC.gov/
The metaphor is visualized using time-series analytics of 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 asset data to the SEC; then visualize the templates that merge data and analytics with software like Tableau, AWS QuickSight, or ad hoc.
The dashboard enables interactive visualizations asking, How much? How many? How fast?, and whether a sequence exists that raises questions of coincidence, seasonality, or unidentified changes in the time series that would indicate a special cause answering the question; a signal.
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 each of the two vectors of sentiment is changing greatly enhances the quality of the visualization.
Secure Private cloud access available to 40 million submissions: (1993-2024YTD) 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.