AMG Kernel - Signals to Train AI

AMG Kernel - Signals to Train AI

How Sentiment Data Values are Changing

SEC Asset Filings: Trust, Visualize, Project

Forward

The AMG Kernel sources SEC.gov data to train AI inferencing causal manifestations of change.

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

Visualizations of the data originate from a shared understanding: How sentiment in the $60 Trillion public data store of securitized assets is changing.

Fiduciaries and their customers visualize true sentiment at the forefront of changing values with control of unique interactive dashboard overlays of action in the $40 Trillion open-end mutual fund (including ETF) investment and professional portfolio holdings data.

The visualizations of real and expected continuous asset levels and flows infer how 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' how relevant sentiment is changing.

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

Investors, advisors, exchange trading participants, and their 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 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.

The open end mutual fund (incl. ETF) metaphor produces Truthful visualization overlays of changing value:

s3://valuevector3,4,5.... - Fiduciary and Customer Learning Visualization Templates of Value

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

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

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....).

1) Copyright Summary - Data kernel of trusted American economic values generates interactive dashboard visualizations of changing sentiment.

2) Concept POC - Time-series dashboard analytics of regulated sentiment data to train unique actionable templates of value that 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 - Visualize truthful integer sentiment data 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.