AMG Kernel - Virtual Nature of Value and Sentiment
SEC Asset Filings: Trust, Visualize, Project
The AMG Kernel facilitates a virtual private connection subscribers access to originate visualizations of change and sentiment that apply learning templates trued with US data filings submitted to SEC.gov .
The concept visualizes continuous regulated dollar-driven market data on dashboards that project a conscious and true awareness of how change is manifesting in Financial market sentiment vectors, adding value to fundamental and alternative security-specific platform research.
The 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 their customers, are now empowered to achieve a unique understanding of how the integer sentiment data values 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 dashboard visualizations of the changing information:
Continuous price and asset data measure the magnitude and direction, as well as speed, of the changing vectors of value.
The real and expected sentiment data reside in object storage (AWS cloud data buckets, eg.):
Quantitative market components label and train the templates to interactively learn 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 uniquely 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 to 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.
