Simt Sampp 500 Fund Math Operators Price Series Division

SSPIX Fund

USD 100.80 -0.21 -0.21%

This math operators tool runs Price Series Division operator and companion studies for SIMT SP and Franklin Efolio Allocation. It emphasizes relative price relationships between SIMT SP and Franklin Efolio Allocation while keeping volatility, risk, and performance context in view.

Symbols

Operator

The output start index for this execution was zero with a total number of output elements of sixty-one. Simt Sampp 500 Price Series Division is a division of SIMT SP price series and its benchmark/peer.

SIMT SP Technical Analysis Modules

Most technical analysis of SIMT SP 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.

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

About SIMT S&P 500 INDEX FUND CLASS F EFFECTIVE 1-31-2017 (FORMERLY CLASS A)

Liquidity and pricing cadence can influence observed volatility and execution context. Lower liquidity may increase execution variability. The five-year return stands at 13.0%.

Methodology

Unless otherwise specified, data for Simt Sampp 500 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 Sampp 500 market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report references public fund disclosures, holdings reports, and market data feeds and institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain datasets may update with delay depending on source availability. 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 Sampp 500 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 SIMT SP 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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