AMG Kernel - Signals to Train AI
How Sentiment Values are Changing
EDGAR Asset Filings: Trust, Visualize, Project
Forward
The AMG Kernel sources SEC.gov data to train AI inferencing causal manifestations of change.
The calculable value of the continuous EDGAR database accretes with each filing submission of the unbiased and trusted regulated data.
Exchange trading research customers become empowered with truthful gained intelligence to train AI with time-series analytics of changing sentiment.
The AMG Kernel visualizations of the continuous investment demand sentiment data augment Fundamental and alternative security-specific platform research.
The visualizations originate from a shared understanding: How sentiment in the $60 Trillion EDGAR public data store of securitized assets is changing.
The regulated data at the forefront of change are visualized with control of unique interactive dashboard overlays of action in the $40 Trillion subset of open-end mutual fund (including ETF) real investment and expected values of professional portfolio holdings.
Visualization templates of these two sentiment vectors of securitized asset levels and flows apply quantitative measures of value to qualitative notions of sentiment.
The templates infer how market vectors of value are changing with questions of demand that are visualized as signals - about how relevant sentiment is changing.
To gain intelligence the algorithmic tool for market research puts three asks to the regulated values that formalize answers in visualizations of the changing sentiment data:
The continuous data visualizations report the magnitude and direction, as well as speed of the sentiment change, in the two open-end fund asset vectors of value.
The data reside in object storage (AWS cloud data buckets, eg.):
The open end mutual fund (incl. ETF) metaphor produces truthful visualization overlays of changing value:
Fiduciaries and Customers template the 'valuevector' bucket overlays to train qualitative notions of sentiment in Financial and non-Financial value vectors of change.
True continuous dollar-driven capital market asset level and flow data template, signal, and train a cognitive awareness of how structured values are changing in non-Financial dimensions where relevant inferences of change and value are visualized at scale (media, social, rideshare, determinative....).
Unique interactive dashboards of dollar-driven asset data facilitate research of shared questions and common understandings between the Fiduciary and Customer about true value and the virtual nature of change.
1) Copyright Summary - Market data kernel of trusted American economic values generates interactive dashboard visualization templates of changing sentiment.
2) Concept POC - Time-series dashboard analytics of regulated data train unique actionable templates of value that project personal qualitative notions of change.
3) Subscription: Simple Flexible Pricing - EDGAR data 1995-2025YTD --> Institutional Safe Harbor Soft Dollar Research: Section 28(e)
4) Predictive Data True measures of market value are tooled to learn important changes.
5) Advisor -> Investor: Insights gained from unique analytics of predictive data at the forefront of change promote questions from Customers that enhance Fiduciary Advisor's value.
6) Capital Asset Metaphor - Visualization overlays template changing 'Professional Portfolio' & 'Investor Fund Flow' asset value vectors of capital market sentiment.
7) Proposition - Integer market data signals are visualized to train AI with a cognitive awareness of how values are changing - to form truthful answers from machine learning.
8) Data Dashboards to Project Changing Sentiment Templates for Research Customers:
...AMG Kernel to train AI Models --or--
... ad hoc business.
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