Applied Finance Select Fund Pattern Recognition On Neck Pattern

AFVZX Fund  USD 23.46  -0.11  -0.47%   
The pattern recognition module provides an execution environment for On Neck Pattern recognition and related indicators on Applied Finance. It emphasizes pattern recognition signals tied to momentum and continuation while keeping volatility, risk, and performance context in view.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The On-Neck Pattern may describe Applied Finance bearish continuation signal.

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.

About Applied Finance Select Fund Institutional Class Shares

The fund overview for Applied Finance summarizes mandate, holdings profile, and risk characteristics. The fund has exposure to Mutual Fund Funds. The current allocation is approximately 99.0% equities and 1.0% cash. It is classified under Large Value within the Applied Finance family.

Methodology

Unless otherwise specified, data for Applied Finance Select 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 Select market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. 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 Select may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.


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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