AMG Kernel - Virtual Nature of Sentiment
Understanding How American Values are Changing
SEC Asset Filings: Trust, Visualize, Project
The AMG Kernel visualizes changing market demand data on interactive dashboards.
Fiduciaries and their customers connect dashboard analytic overlays of continuous open-end fund asset flows, real and expected, submitted in EDGAR filings.
The connection trains learning signals that originate from a common understanding - How sentiment in the $50 Trillion SEC.gov data store of securitized assets is changing.
The market sentiment overlays augment Fundamental and alternative security-specific platform research.
Investors, advisors, exchange trading participants, and Section 28(e) safe harbor research customers gain insights into how the integer data values are changing with time series analytics of investment demand for market assets.
The algorithmic tool puts three asks to the market data with visualizations of the changing asset information:
The visualized EDGAR data report the magnitude and direction, as well as speed, of the changing sentiment vectors of real and expected value.
The continuous data reside in object storage (AWS cloud data buckets, eg.):
Fiduciaries label and train the Financial data overlays to visualize qualitative notions of common sentiment in non-Financial value vectors where templated analytics of the causal manifestations of change can also be relevant and important (media, tech, social, rideshare, determinative....).
1) Copyright Summary - Financial data kernel of trusted continuous dollar-driven American capital values originates interactive dashboard visualizations of changing sentiment.
2) Concept POC - Time series analytics of regulated sentiment data computes unique actionable dashboard templates of value to 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 trained 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 cogent awareness of how values are changing with common calculable asks that train AI to learn and discover truthful answers from machine learning.
...AWS QuickSight + SageMaker Canvas Models --or--
...Tableau CRM + AWS SageMaker --or--
... ad hoc integration.
