AMG Kernel - Virtual Nature of Change and Sentiment
SEC Asset Filings: Trust, Visualize, Project
Subscription access to the AMG Kernel adds value to regulated Fiduciary relationships with a private connection to ingest information with default data visualizations of changing market sentiment, and for learning templates that are trued with US data filings submitted to SEC.gov .
The concept describes continuous regulated dollar-driven data on dashboards that project a mathematical awareness of market demand for goods and services .
The data are visualized in Financial market sentiment vectors of open-end fund asset changes for fundamental and alternative security-specific platform research.
The interactive connection projects True Value with learning signals that originate from a common conscious understanding - How sentiment in the $50 Trillion data store of assets is changing.
Investors, advisors, exchange trading participants, and Section 28(e) safe harbor research customers gain unique insights into how the integer 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:
Regulated prices and assets continuously report the magnitude and direction, as well as speed, of the changing sentiment data vectors of real and expected value.
The data reside in object storage (AWS cloud data buckets, eg.):
Quantitative market components uniquely help Fiduciaries label and train the templates to discover qualitative notions of value in non-Financial sentiment vectors, where learning to identify the causal manifestations of change is also relevant and meaningful (media, tech, social, determinative....).
1) Copyright Summary - Financial data kernel of trusted continuous dollar-driven American capital values computes dashboard visualizations of changing sentiment.
2) Concept POC - Time series analytics of regulated sentiment data enable trusted unique actionable templates of value that project personal qualitative notions of change.
3) Subscription: Simple Flexible Pricing - Continuous SEC data 1992-2024YTD --> 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 dimensional analytics of change promote questions from Customers that enhance Fiduciary Advisor's value.
6) Capital Asset Metaphor - Visualization templates of changing 'Professional Portfolio' & 'Investor Fund Flow' vectors of capital market sentiment.
7) Proposition - Integer sentiment data relationships interactively signal a unique and personal awareness of change with common calculable asks that learn and project truthful answers from machine learning.
...AWS QuickSight + SageMaker Canvas Models --or--
...Tableau CRM + AWS SageMaker --or--
... ad hoc integration.
