Simt Dynamic Asset Fund Pattern Recognition Harami Cross Pattern

SDYAX Fund  USD 15.76  -0.09  -0.57%   
Use the pattern recognition workspace to apply Harami Cross Pattern recognition and other studies to SIMT DYNAMIC. The analysis highlights pattern recognition signals tied to momentum and continuation and frames technical signals with volatility and risk context.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. This analysis covers fifty data points across the selected time horizon. The function did not return any valid pattern recognition events for the selected time horizon. The Harami Cross pattern describes SIMT DYNAMIC bullish reversal trend.

SIMT DYNAMIC Technical Analysis Modules

Most technical analysis of SIMT DYNAMIC 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 SIMT from various momentum indicators to cycle indicators. When you analyze SIMT 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

The fund overview for SIMT DYNAMIC summarizes mandate, holdings profile, and risk characteristics. The fund has exposure to SEI Funds, Large Blend Funds, Allocation--70% to 85% Equity Funds. The current allocation is approximately 88.0% equities, 1.0% bonds and 1.0% cash. It is classified under Allocation--70% to 85% Equity within the SEI family.

Methodology

Unless otherwise specified, data for Simt Dynamic Asset 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. Simt Dynamic Asset market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs are aggregated from public fund disclosures, holdings reports, and market data feeds and public institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain values may not reflect real-time changes. 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

Simt Dynamic Asset 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
Last reviewed on March 15th, 2026

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Tracking SIMT DYNAMIC inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. The stronger process keeps portfolio transparency high without forcing constant manual review of every holding.

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