AMG Kernel - Market Signals to Train AI

AMG Kernel - Virtual Nature of Changing Sentiment

Signals to Train AI inferencing How Financial Data Values are Changing

SEC Asset Filings: Trust, Visualize, Project

The AMG Kernel visualizes changing sentiment data on interactive dashboards that empower subscribers with continuous insights into market demand.

The connection trains unique AI signals that originate from a shared understanding - How sentiment in the $50 Trillion SEC.gov public data store of securitized assets is changing.

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

Fiduciaries and their customers connect visualization overlays of continuous open-end fund asset flow data submitted in EDGAR filings.

Investors, advisors, exchange trading participants, and research customers train AI inferencing how real and expected sentiment in the securitized store of EDGAR data values is changing; with subscriptions to unique interactive dashboard 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 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 visualize 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:

The Financial analytics template how structured values are changing in less regulated and unregulated vectors of sentiment (media, tech, social, rideshare, determinative....), that are also relevant and matter.

1) Copyright Summary - Financial data kernel of trusted continuous 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 - 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 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.