AMG Kernel - Virtual Nature of Change and Sentiment

SEC Asset Filings: Trust, Visualize, Project

 

Subscription access to the AMG Kernel connection enables market participants to originate data visualizations of change and sentiment, and develop learning templates trued with US data filings submitted to SEC.gov .

The concept describes continuous regulated dollar-driven market data on dashboards that project a conscious and true awareness of market demand for goods and services .

The data are visualized in Financial market sentiment vectors to augment fundamental and alternative security-specific platform research.

The interactive connection projects how True Value is changing with learning signals that originate from a common understanding - How the $50 Trillion data store of assets is changing.

Investors, advisors, exchange trading participants, and 28(e) safe harbor research customers are empowered to uniquely understand how the integer sentiment data are changing with time series analytics of real and expected demand for market assets.

The algorithmic tool puts three asks to the market data with visualizations of the changing information:

Continuous price and asset data measure 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.):

Quantitative market components label and train the templates to interactively discover qualitative notions of value in non-Financial sentiment vectors, where learning how change is occurring is also relevant and meaningful (media, tech, social, determinative....).

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

2) Concept POC - Time series analytics of regulated sentiment data values compute actionable templates that project unique and personal qualitative notions of change.

3) Subscription: Simple Flexible Pricing - Continuous SEC data 1992-2024YTD --> Individual or Institutional Safe Harbor Soft Dollar Research: Section 28(e)

4) Predictive Data True measures of continuous value to learn the causal manifestations of important market changes.

5) Advisor -> Investor: Insights gained from dimensional analytics of change promote questions that enhance Fiduciary advisor's value.

6) Capital Asset Metaphor - Visualizations template changing 'Professional Portfolio' & 'Investor Fund Flow' vectors of capital market sentiment.

7) Proposition - Integer sentiment data relationships interactively signal a unique personal awareness of change with common calculable questions that train and project truthful answers from machine learning.

8) Data Dashboard Mock-up Included and Prepared for Investors, Advisors and Traders :

...AWS QuickSight + SageMaker Canvas Models --or--

...Tableau CRM + AWS SageMaker --or--

... ad hoc integration.

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