AMG Kernel - Virtual Nature of Changing Sentiment
Train AI to Learn How Financial Values are Changing
SEC Asset Filings: Trust, Visualize, Project
The AMG Kernel visualizes changing market demand data on interactive dashboards.
The connection trains AI learning signals that originate from a shared understanding - How sentiment in the $50 Trillion SEC.gov public data store of securitized assets is changing.
Fiduciaries and their customers connect visualization overlays of continuous open-end fund asset flow data, real and expected, submitted in EDGAR filings.
The market sentiment overlays augment Fundamental and alternative security-specific platform research.
Investors, advisors, exchange trading participants, and Section 28(e) safe harbor research customers use AI learning insights into how sentiment in the securitized store of data values is changing with 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:
The visualized EDGAR data report the magnitude and direction, as well as speed, of the changing sentiment vectors of real and expected value.
The interactive dashboards of continuous dollar-driven asset data visualize shared common understandings of the nature of changing market sentiment.
The continuous data reside in object storage (AWS cloud data buckets, eg.):
Fiduciaries label and train the Financial 'valuevector' overlays to template qualitative notions of sentiment in non-Financial value vectors of change:
The Financial analytics template how relevant and important values in less regulated and non-Financial vectors of sentiment (media, tech, social, rideshare, determinative....) are changing.
1) Copyright Summary - Financial data kernel of trusted continuous dollar-driven US 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 data at the forefront of change promote personal 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 signal and train AI with a cognitive awareness of how values are changing - to form truthful answers from machine learning.
...AWS QuickSight + SageMaker Canvas Models --or--
...Tableau CRM + AWS SageMaker --or--
... ad hoc integration.
