Arrow Dwa Balanced Fund Pattern Recognition Matching Low

DWAFX Fund

USD 12.41 -0.09 -0.72%

The pattern recognition module provides an execution environment for Matching Low recognition and related indicators on ARROW DWA. The focus on pattern recognition signals tied to momentum and continuation helps organize trend, volatility, and risk context for ARROW DWA.

Symbol

Recognition

The function did not generate any output. Please change time horizon or modify your input parameters. This analysis covers fifty-five data points across the selected time horizon. The function did not return any valid pattern recognition events for the selected time horizon. The Matching Low pattern shows low bullish reversal trend for Arrow Dwa Balanced.

ARROW DWA Technical Analysis Modules

Most technical analysis of ARROW DWA 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 ARROW from various momentum indicators to cycle indicators. When you analyze ARROW 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.

	Cycle Indicators
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

Mutual Fund Overview, Methodology & Data Sources

Performance context is typically read against category peers and stated objectives. The five-year return stands at 5.0%.

Methodology

Unless otherwise specified, data for Arrow Dwa Balanced 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. Arrow Dwa Balanced 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

Arrow Dwa Balanced 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:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

Last reviewed on March 12th, 2026

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Portfolio analytics tied to Arrow Dwa Balanced help investors review performance in context instead of judging the holding in isolation. That means looking at contribution to return, volatility, and correlation rather than relying on price movement alone.

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