AMG Kernel - Virtual Nature of Change and Sentiment
SEC Asset Filings: Trust, Visualize, Project
Subscription access to the AMG Kernel adds value to regulated Fiduciary relationships with a connection to visualize changing market sentiment, and originate learning templates that are trued with US data filings submitted to SEC.gov .
The concept describes a dashboard accessing continuous regulated dollar-driven data to generate values that assure a truthful, mathematical, and cognitive awareness of how market demand for goods and services is changing.
The data are visualized in Financial market sentiment vector overlays of open-end fund asset changes to augment fundamental and alternative security-specific platform research.
The interactive connection projects learning signals that originate from a common understanding - How sentiment in the $50 Trillion data store of securitized assets is changing.
Investors, advisors, exchange trading participants, and Section 28(e) safe harbor research customers gain unique insights into how the integer data values are changing with time series analytics of real and expected demand for market assets.
The algorithmic tool puts three asks to the market data with visualizations of the changing asset information:
The regulated data continuously report the magnitude and direction, as well as speed, of the changing sentiment vectors of real and expected value.
The data reside in object storage (AWS cloud data buckets, eg.):
Quantitative market components uniquely help Fiduciaries label and train the templates to visualize qualitative notions of value in non-Financial sentiment vectors, where learning how to discover the causal manifestations of change is also relevant and important (media, tech, social, determinative....).
1) Copyright Summary - Financial data kernel of trusted continuous dollar-driven American capital values computes interactive dashboard visualizations of changing sentiment.
2) Concept POC - Time series analytics of regulated sentiment asset data enable trusted unique actionable templates of value that project personal qualitative notions of change.
3) Subscription: Simple Flexible Pricing - Continuous SEC data 1992-2025YTD --> Institutional Safe Harbor Soft Dollar Research: Section 28(e)
4) Predictive Data True measures of continuous value are tooled to learn important market changes.
5) Advisor -> Investor: Insights gained from dimensional analytics of change promote questions from Customers that enhance Fiduciary Advisor's value.
6) Capital Asset Metaphor - Visualization templates of changing 'Professional Portfolio' & 'Investor Fund Flow' asset vectors of capital market sentiment.
7) Proposition - Integer sentiment data relationships interactively signal a unique and personal awareness of change with common calculable asks that learn and project truthful answers from machine learning.
...AWS QuickSight + SageMaker Canvas Models --or--
...Tableau CRM + AWS SageMaker --or--
... ad hoc integration.
