Guggenheim Ultra Short Fund Statistic Functions Linear Regression Slope

GIYAX Fund  USD 10.04  -0.01  -0.1%   
The statistic functions module provides an execution environment for Linear Regression Slope function on Guggenheim Ultra. Each indicator is computed from recorded price and volume observations. The model organizes signals around statistical functions describing dispersion and variability and related patterns. The data is presented for contextual interpretation only. Select Time Period to run this model.

Execute Function
This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression Slope is the rate of change in Guggenheim Ultra Short price series over its benchmark or peer price series.

Guggenheim Ultra Technical Analysis Modules

Technical analysis of Guggenheim Ultra uses historical price and volume data to identify patterns that may signal where the Guggenheim trend is heading. Cross-category confirmation - momentum aligning with volume and trend - produces the highest-conviction setups for Guggenheim.

Methodology, Assumptions & Data Sources

Here is Guggenheim Ultra's Statistic Functions over time. Comparing against peers in the same sector adds useful context.

Unless otherwise specified, data for Guggenheim Ultra Short is compiled from fund disclosures and market reference feeds and standardized for comparability. Updates may occur throughout the day.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board
Last reviewed on March 21st, 2026