Snap On Stock Forward View - Simple Regression

Key Indicators . Simple Regression . Stocks . USA . 
Stock . Snap On
SNA Stock  USD 374.00  3.18  0.86%   
Simple Regression is applied to Snap On's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. These values update automatically with each new closing price. The Simple Regression model projects Snap On at 374.40 for the next trading day, above the most recent closing price. This Simple Regression output is provided as analytical reference and does not constitute a trading recommendation.
Simple regression fits a straight line through Snap On price points using a single independent variable (time). The line is defined by Y = intercept + slope * X, where the slope captures the average rate of price change and the intercept represents the baseline price level.

Simple Regression Price Forecast For the 10th of May

Over a 90-day horizon, the Simple Regression model forecasts Snap On at 374.40 for the next trading day, with a mean absolute deviation of 7.96 , mean absolute percentage error of 0.02 , and sum of absolute errors of 493.66 .
This represents a tight forecast with good short-term tracking of Snap On's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest Snap On  Snap On Price Prediction  Research Analysis  

Forecasted Value

Snap On's next-session forecast estimates practical downside and upside boundaries based on the model's historical fit. The forecast band spans 372.90 to 375.90. The narrow range indicates limited short-term dispersion.
Market Value
374.00
372.90
Downside
374.40
Expected Value
375.90
Upside
Target Odds

Model Predictive Factors

The table below summarizes the Simple Regression model's error metrics for Snap On stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria124.3465
BiasArithmetic mean of the errors None
MADMean absolute deviation7.9622
MAPEMean absolute percentage error0.0213
SAESum of the absolute errors493.6568
A positive slope indicates an upward price trend over the selected period; a negative slope indicates a downward trend. The R-squared value measures how well the linear model fits Snap On price history — values near 1.0 indicate a strong linear trend, while low values suggest that price movement is not well explained by a simple time-based trend.

Other Forecasting Options for Snap On

Snap On's daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Snap On often signals an upcoming reversal or acceleration. Gap analysis of Snap On Stock data examines overnight jumps between Snap On's closing and opening prices.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average

Snap On Related Equities

These stocks within the Industrials space are often compared to Snap On by analysts and fund managers in the sector. Return on equity across these peers shows how well each firm turns capital into profit. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
 Risk & Return  Correlation

Snap On Market Strength Events

Market strength indicators for Snap On stock provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in Snap On. Median and Typical Price smooth out intraday extremes, providing a cleaner reference level for evaluating Snap On sessions.
Accumulation Distribution3750.21
Daily Balance Of Power0.7447
Rate Of Daily Change1.01
Day Median Price372.81
Day Typical Price373.2
Price Action Indicator2.78
Period Momentum Indicator3.18
Relative Strength Index48.85

Snap On Risk Indicators

Assessing Snap On's risk indicators is a structured way to evaluate the risk-return trade-off for snap on stock. The level of risk embedded in Snap On's feeds directly into exposure calibration. Comparing Snap On's downside variance to total variance reveals whether the risk profile is skewed toward losses.
Mean Deviation1.16
Standard Deviation1.52
Variance2.31
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.

Snap On Short Properties

Short-interest signals around Snap On reveal whether skeptical positioning is starting to pressure price predictability and market tone. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
Common Stock Shares Outstanding53 million
Cash And Short Term Investments1.62 billion
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