Applied Finance Explorer Fund Math Operators Price Series Multiplication

AFDVX Fund  USD 23.02  -0.07  -0.30%   
The math operators view organizes Price Series Multiplication operator and supporting indicators around Applied Finance and Small Cap Equity. Signals here center on relative price relationships between Applied Finance and Small Cap Equity alongside volatility and performance references.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Applied Finance Explorer Price Series Multiplication is a cross multiplication of Applied Finance price series and its benchmark/peer.

Applied Finance Technical Analysis Modules

Most technical analysis of Applied Finance help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Applied from various momentum indicators to cycle indicators. When you analyze Applied charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Mutual Fund Overview, Methodology & Data Sources

Downside history frames risk tolerance and stress-period behavior. Downside movements have historically remained relatively contained. The five-year return stands at 7.0%.

Methodology

Unless otherwise specified, data for Applied Finance Explorer is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Applied Finance Explorer market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

Applied Finance Explorer may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board

Become your own money manager

Tracking Applied Finance inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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