The AMGUI capital asset templates measure demand changes in institutional security share levels and mutual fund investment cash flows; regulated data paradigms of asset value to visualize changing market sentiment.

The interface of market data and analytics is tooled for members of the NASD, investment managers, and other market participants; including Corporation BI.

Subscriptions to visualization templates of SEC filings enable unique views of changing values of securitized assets; interactive analytics using Tableau Desktop, AWS, and emerging ad hoc query and visualization tools.

AMGUI uses AWS to store, host, and enable subscriptions to private (VPN) access for data and machine images (AMI) of uniquely configured analytic templates.

AWS and Tableau enable visualizations of the curated structured financial content. Researchers intuitively visualize and interact with continuous market data using customizable templates developed for seamless integration for any visualization platform.

The interface facilitates exploration of variances, patterns, and relationships in securitized asset vectors.

The expandable and portable financial data templates can be shared with other virtual private clouds of data using AWS, Tableau Desktop, and ad hoc information dashboard solutions; sharing with other structured perspectives and levels of focus.

Open Local Update and Visualization options

The analyst gains a better understanding of changing financial values for value-added analytics.

AMGUI maps and templates market data to column joins within the AWS and Tableau platforms to extract and uniquely visualize continuously changing regulated information..

Message-quality research is produced by interactive analysis and visualization of asset level changes over periodic intervals (time-series analytics).

Sisense, AWS, and Tableau software facilitate familiar BI dashboard actions for user defined analysis from SEC filings; visualized to mine, manage, and interactively discover uniquely personal perspectives of changing financial data.

The API originates and communicates signals residing in changing regulated financial filing data.

The dashboard design enables users to interactively monitor and visualize non-random variation from random variation in the periodic updates. Emerging technologies that measure multidimensional rates of change with XmR charting use signals to track changes in patterns, correlations and relationships to identify special cause behaviors. Control limits are easily accessed for reset or alerts; signaling knowledge, insights and pre-qualified actionable opportunities.

Dashboard template variables are defined by dimensional data set, type of ordinal sort, and through structured intervals of time and space.

In addition to 13F filings, weekly mutual fund flow sector aggregates can be interactively sourced, blended, and visualized using a connection to Refinitiv mutual (including ETF) fund flow data. Analysis using the familiar crosstab of fund flow updates becomes visualized in AWS and Tableau for interactive analyses. The data view is transformed from numeric original 1992 flat-file research, to continuously descriptive 2019 multidimentional visualizations of mutual fund and ETF investor activity.

The asset flow vectors are used as proxies for sentiment and market demand by measuring the structure of investor activity in $Trillions of fund assets levels regulated in >20,000 active and passive fund portfolios, managed by thousands of regulated professionals for millions of investors.

Visual queries extend seamlessly beyond the interface; with no programming necessary in AWS or Tableau. Uniquely reusable templates are easily developed and expanded to extend multidimensional sentiment analyses beyond the interface with each unique and structured dimensional data set; and uniquely beyond the economic pale with each expansion.

Level of detail ETF flow analyses are granulated to name dimensional sets like mutual funds and classes like 'xETF', a different class of mutual fund flow metadata than 'ETF only'. Multidimensional data set subclasses, active or passive, offer original perspectives of investor sentiment that are helpful in gaining insight to the complexities of market action using structured non-fundamental data.

Interactive control charting parameters name, calculate, and draw user-assigned control points in the data view.

Multidimensional data sets and conditional rule-sets trigger email, messaging, and log actions on data residing in an S3 bucket and managed with cloud services; templating scheduled programs that identify and access the data from; a logical model derived from SEC reporting requirements - to identify and access structured data; then originate the query logic for dashboard visualization.

The scripts serve as templates for ad hoc visualizations to extend analyses beyond the interface.

AWS and Tableau services enable AMG VPC users affordable cloud access to regulated filing data for automated 'dashboard-actionable' research and 'message-quality' broadcast; uniquely represented as templates, data, spreadsheets, machine images to user enterprises; for any measure of value.

AWS Cloud Services <$10/month including data updates.

©Robert Adler 2014-2019, All Rights Reserved