Pear Tree Polaris Fund Statistic Functions Linear Regression

QUSIX Fund  USD 17.61  -0.03  -0.17%   
The statistic functions framework organizes Linear Regression function across PEAR TREE. The dataset reflects historical price and volume inputs. Provide Time Period to start the analysis.

This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression model generates relationship between price series of Pear Tree Polaris and its peer or benchmark and helps predict PEAR TREE future price from its past values.

PEAR TREE Technical Analysis Modules

PEAR TREE technical signals are derived from historical patterns that have statistical relevance for anticipating short-to-medium term price behavior. Volatility-adjusted signals tend to be more reliable than raw price-level triggers during regime transitions.

Methodology, Assumptions & Data Sources

Below is PEAR TREE's Statistic Functions history. Year-over-year changes are the easiest way to spot turning points.

Inputs for Pear Tree Polaris come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.

This content is curated and reviewed by:

Michael Smolkin - Member of Macroaxis Board of Directors
Last reviewed on March 18th, 2026