Allient Stock Statistic Functions Linear Regression

ALNT Stock   62.34  -1.55  -2.43%   
Use the statistic functions workspace to apply Linear Regression function and other studies to Allient. It emphasizes statistical functions describing dispersion and variability while keeping volatility, risk, and performance context in view.Enter Time Period to run this model.

Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of Allient and its peer or benchmark and helps predict Allient future price from its past values.

Allient Technical Analysis Modules

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

Stock Overview, Methodology & Data Sources

Allient is listed within United States regulated exchanges. The stock overview for Allient summarizes business drivers, financial profile, and market behavior. The company is positioned within Electrical Components & Equipment, Electronic Components, Industrials. Current metrics include P/B of 3.59, profit margin of 3.97%. Allient has a market cap of 1.06 B, ROE of 7.78%.

Methodology

Unless otherwise specified, financial data for Allient is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Allient (USA Stocks:ALNT) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public filings and market reference sources 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.

Analyst Sources

Allient is covered by 5 analysts. 2 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include J.P. Morgan, Guggenheim Securities, Bank of America Securities, Oppenheimer & Co., Evercore ISI, among others. Updates may occur throughout the day.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board

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Tracking Allient inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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