First Trust Short Fund Statistic Functions Linear Regression Slope

FDHCX Fund  USD 17.80  0.07  0.39%   
The statistic functions module provides an execution environment for Linear Regression Slope function and related indicators on First Trust. This view tracks statistical functions describing dispersion and variability to support structured performance interpretation without implying advice.Please specify Time Period to generate the indicator output.

Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Linear Regression Slope is the rate of change in First Trust Short price series over its benchmark or peer price series.

First Trust Technical Analysis Modules

Most technical analysis of First Trust 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 First from various momentum indicators to cycle indicators. When you analyze First 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 FIRST TRUST SHORT DURATION HIGH INCOME FUND CLASS C

Fund analysis emphasizes diversification, manager constraints, and fee drag. The five-year return stands at 3.0%.

Methodology

Unless otherwise specified, data for First Trust Short 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. First Trust Short market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small timing offsets. 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

First Trust Short may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.


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