AMG Kernel - Market Signals to Train AI

AMG Kernel - Virtual Nature of Changing Sentiment

Signals to Train AI How Financial Data Values are Changing

SEC Asset Filings: Trust, Visualize, Project

Forward

The AMG Kernel sources SEC.gov form data to train unique AI that inferences causal manifestations of change.

Visualization overlays originate from a shared understanding: How sentiment in the $50 Trillion public data store of securitized assets is changing.

The market sentiment analytics visualize unbiased and trusted regulated integer data that accrete in value with each filing submission event to the EDGAR database.

Fiduciaries and their customers visualize true sentiment at the forefront of changing values with control of unique interactive dashboard overlays of continuous open-end assets: real mutual fund (including ETF) investment, and expected professional portfolio holdings levels and flows.

Unique fiduciary research visualizes how real and expected securitized asset demand value vectors of sentiment are changing with trained insights of market demand.

Each overlay templates quantitative measures of value to qualitative notions of sentiment that are visualized as signals - to train personal inferences or 'etchings' that learn how relevant sentiment is changing.

The market sentiment overlays augment Fundamental and alternative security-specific platform research.

Investors, advisors, exchange trading participants, and research customers train AI how sentiment in the securitized store of EDGAR data values is changing; with unique interactive dashboard time-series analytics of investment demand for market assets.

The algorithmic tool puts three asks to the changing sentiment values that formalize truthful answers with visualizations of the changing asset value information:

How much?
How many?
How fast?

The continuous EDGAR data are visualized to report the magnitude and direction, as well as speed, of the changing sentiment vectors of real and expected value.

The interactive dashboards of dollar-driven asset data research shared questions and common understandings about true value and the nature of changing market sentiment.

The data reside in object storage (AWS cloud data buckets, eg.):

s3://valuevector1 - Retail and Professional investor cash demand for securities in open-end mutual fund (including ETF) net flow metadata.
s3://valuevector2 - Professional market demand for securities in portfolio asset, price, and share data filings submissions to the SEC.
s3://valuevector3,4,5.... - Fiduciary and Customer Learning Visualization Templates of Value

Fiduciaries and Customers train the 'valuevector' bucket overlays to template qualitative notions of sentiment in Financial and non-Financial value vectors of change:

Shared understandings of true value with interactive dashboard visualization templates of continuous dollar-driven capital market asset level and flow data learn, signal, and train a cognitive awareness of how structured values are changing in non-Financial dimensions, where inferencing change and value are also relevant and matter (media, social, rideshare, determinative....).

1) Copyright Summary - Financial data kernel of trusted dollar-driven American capital values generates interactive dashboard visualizations of changing sentiment.

2) Concept POC - Time-series dashboard analytics of regulated sentiment data train unique actionable templates of value to project personal qualitative notions of change.

3) Subscription: Simple Flexible Pricing - SEC data 1992-2025YTD --> 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 sentiment data relationships visualize signals 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 the Fiduciary's Customers:

...AMG Kernel to train AI Models --or--

... ad hoc business.