Deutsche Small Cap Fund Statistic Functions Linear Regression

SSLCX Fund

USD 53.10 -0.06 -0.11%

The statistic functions view organizes Linear Regression function and supporting indicators around DEUTSCHE SMALL. This view tracks statistical functions describing dispersion and variability to support structured performance interpretation without implying advice.Provide Time Period to execute this module.

Symbol

This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression model generates relationship between price series of Deutsche Small Cap and its peer or benchmark and helps predict DEUTSCHE SMALL future price from its past values.

DEUTSCHE SMALL Technical Analysis Modules

Most technical analysis of DEUTSCHE SMALL 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 DEUTSCHE from various momentum indicators to cycle indicators. When you analyze DEUTSCHE 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

Fund analysis emphasizes diversification, manager constraints, and fee drag. The five-year return stands at 6.0%.

Methodology

Unless otherwise specified, data for Deutsche Small Cap 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. Deutsche Small Cap 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

Deutsche Small Cap 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:

Rifka Kats - Member of Macroaxis Editorial Board

Last reviewed on February 21st, 2026

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Portfolio analytics tied to Deutsche Small Cap help investors review performance in context instead of judging the holding in isolation. This is most helpful when investors want a consistent framework for balancing conviction with risk control.

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