Sturm Ruger Stock Forward View - Simple Regression

RGR Stock  USD 38.98  -0.47  -1.19%   
This page provides Simple Regression reference data for Sturm Ruger, calculated from historical daily prices. The forecast output and associated deviation metrics are shown for informational use.
The Simple Regression forecasted value of Sturm Ruger on the next trading day is expected to be 39.56 with a mean absolute deviation of 0.97 and the sum of the absolute errors of 59.39.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Sturm Ruger historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. Sturm Ruger's Simple Regression reference data is provided for informational and analytical purposes and does not constitute a trading recommendation.
Simple Regression model is a single variable regression model that attempts to put a straight line through Sturm Ruger price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Simple Regression forecasted value of Sturm Ruger on the next trading day is expected to be 39.56 with a mean absolute deviation of 0.97 , mean absolute percentage error of 1.49 , and the sum of the absolute errors of 59.39 .
Please note that although there have been many attempts to predict Sturm Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Sturm Ruger's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Sturm Ruger  Sturm Ruger Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Sturm Ruger uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
38.98
39.56
Expected Value
41.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Sturm Ruger stock data series using in forecasting. Note that when a statistical model is used to represent Sturm Ruger stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria118.5077
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9736
MAPEMean absolute percentage error0.027
SAESum of the absolute errors59.391
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Sturm Ruger historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for Sturm Ruger

The price movement of Sturm is a central concern for all potential investors, regardless of their level of expertise. Sturm Stock price charts can be difficult to interpret due to the noise present in the data.

Sturm Ruger Related Equities

The following equities are related to Sturm Ruger within the Consumer Discretionary space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Sturm Ruger against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Sturm Ruger Market Strength Events

Market strength indicators applied to Sturm Ruger stock help investors assess the relative momentum and resilience of the security in different market environments. By using these indicators, traders can make more informed decisions about when to buy or sell Sturm Ruger.

Sturm Ruger Risk Indicators

Risk indicator analysis for Sturm Ruger is essential for accurately projecting its future price trajectory. By identifying the level of risk embedded in Sturm Ruger's investment, investors can make informed decisions about position sizing and risk mitigation.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Sturm Ruger

Story coverage around Sturm Ruger often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

Sturm Ruger Short Properties

Reviewing short-oriented indicators for Sturm Ruger is useful because long and short participants often create very different signals for timing and volatility. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding16.2 M
Cash And Short Term Investments92.5 M

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