T Rowe Price Fund Statistic Functions Linear Regression

RBAIX Fund  USD 28.09  -0.04  -0.14%   
The statistic functions workspace evaluates Linear Regression function for T ROWE. These measures are calculated using historical market data. Attention is given to statistical functions describing dispersion and variability within the broader technical structure. Enter Time Period to run the technical study.

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This analysis covers thirty-eight data points across the selected time horizon. The Linear Regression model generates relationship between price series of T Rowe Price and its peer or benchmark and helps predict T ROWE future price from its past values.

T ROWE Technical Analysis Modules

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

Methodology, Assumptions & Data Sources

Below is T ROWE's Statistic Functions history. Watch for quarters where the pace speeds up or slows down.

Inputs for T Rowe Price come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. 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 14th, 2026