Littelfuse Stock Forward View - Simple Regression
| LFUS Stock | USD 326.18 0.37 0.11% |
Momentum
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.194 | EPS Estimate Next Quarter 2.79 | EPS Estimate Current Year 12.902 | EPS Estimate Next Year 14.99 | Wall Street Target Price 353.6 |
The summary pairs Littelfuse's headline activity with price response context. Options positioning and short interest are summarized to frame sentiment for Littelfuse.
Short Interest Coverage - Littelfuse
Changes in Littelfuse's short interest between reporting periods can be as informative as the absolute level. A rapid increase warrants caution; a rapid decrease may signal an emerging change in sentiment toward Littelfuse.
200 Day MA 265.0881 | Short Percent 0.0346 | Short Ratio 2.47 | Shares Short Prior Month 912.6 K | 50 Day MA 319.2858 |
Relative Strength Index: Littelfuse
The Simple Regression forecasted value of Littelfuse on the next trading day is expected to be 366.65 with a mean absolute deviation of 17.04 and the sum of the absolute errors of 1,056.News Attention and Price Pattern for Littelfuse
Public headlines and social commentary around Littelfuse influence how investors perceive risk and opportunity. Quantifying Littelfuse's sentiment makes these subjective biases actionable within a systematic trading framework.
Investor sentiment toward Littelfuse acts as a feedback loop: positive news drives price up, which generates more positive sentiment, attracting more buyers. Understanding where this cycle stands helps investors avoid chasing stocks near peaks.
Littelfuse Implied Volatility | 1.26 |
The term structure of Littelfuse's implied volatility - how it varies across option expiration dates - reveals whether the options market views near-term or longer-term risks as more significant for Littelfuse.
The Simple Regression forecasted value of Littelfuse on the next trading day is expected to be 366.65 with a mean absolute deviation of 17.04 and the sum of the absolute errors of 1,056.Littelfuse after-hype prediction price | $ 329.89 |
Sentiment indicators are framed alongside forecasting, technical analysis, analyst estimates, and momentum.
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Rule 16 Summary for current Littelfuse contract - Pricing Context
Rule 16 converts implied volatility into an estimated daily move of about 0.0788% for 2026-03-20 options. This estimate is a volatility reference; at $ 326.18, it implies a move of about $ 0.26 per day.
Open Interest Summary - Littelfuse 2026-03-20 Options
Open interest summarizes open contracts on Littelfuse and offers neutral context on positioning.
Littelfuse Additional Predictive Modules
Most predictive techniques to examine Littelfuse price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Littelfuse using various technical indicators. When you analyze Littelfuse 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Simple Regression Price Forecast For the 15th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of Littelfuse on the next trading day is expected to be 366.65 with a mean absolute deviation of 17.04 , mean absolute percentage error of 443.48 , and the sum of the absolute errors of 1,056 .Please note that although there have been many attempts to predict Littelfuse 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 Littelfuse's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Littelfuse | Littelfuse Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Littelfuse uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 Littelfuse stock data series using in forecasting. Note that when a statistical model is used to represent Littelfuse 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.| AIC | Akaike Information Criteria | 126.043 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 17.037 |
| MAPE | Mean absolute percentage error | 0.0531 |
| SAE | Sum of the absolute errors | 1056.2925 |
Mean reversion in Littelfuse is distinct from trend following. Where trend followers ride price momentum, mean reversion investors bet that extended moves will reverse once the underlying driver runs out of fuel.
After-Hype Price Density Analysis
Probability distribution analysis for Littelfuse provides an objective framework for evaluating risk/reward tradeoffs. By comparing the width of Littelfuse's upside distribution against the downside, investors can make more calibrated position sizing decisions.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The empirical analysis of Littelfuse's news impact provides an evidence-based estimate of potential price movement around upcoming announcements. Littelfuse's after-hype downside and upside margins for the prediction period are 293.56 and 332.53, respectively. This estimate is conditional on the type and significance of the news event and should be interpreted in that context for Littelfuse.
Current Value
The after-hype framework applied to Littelfuse assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Littelfuse is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Littelfuse backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Littelfuse, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.41 | 2.64 | 3.71 | 0.20 | 13 Events | 7 Events | In 13 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
326.18 | 329.89 | 1.14 |
|
Hype Timeline
Littelfuse is now traded for 326.18. The company has historical hype elasticity of 3.71, and average elasticity to hype of competition of 0.2. Littelfuse is anticipated to increase in value after the next headline, with the price projected to jump to 329.89 or above. The average volatility of media hype impact on the company the price is about 29.14%. The price appreciation on the next news is projected to be 1.14%, whereas the daily expected return is now at 0.41%. The volatility of related hype on Littelfuse is about 544.33%, with the expected price after the next announcement by competition of 326.38. The company reported previous year's revenue of 2.39 B. Net Loss for the year was -71.7 M with profit before overhead, payroll, taxes, and interest of 907.14 M. Given the investment horizon of 90 days the next anticipated press release will be in 13 days. Historical Fundamental Analysis of Littelfuse provides a cross-check on projections for Littelfuse. The historical view provides additional context.Related Hype Analysis
By analyzing how Littelfuse's sector peers have historically reacted to different types of news, investors can build a mental model of the sentiment dynamics that typically precede changes in Littelfuse's own price.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ESE | ESCO Technologies | 10.95 | 2 per month | 1.32 | 0.25 | 3.09 | -2.55 | 9.94 | |
| CGNX | Cognex | -0.69 | 11 per month | 1.92 | 0.1 | 3.83 | -3.61 | 40.68 | |
| BMI | Badger Meter | -1.36 | 9 per month | 0.00 | -0.09 | 2.78 | -3.45 | 15.45 | |
| TTMI | TTM Technologies | -3.70 | 24 per month | 4.27 | 0.09 | 8.95 | -8.49 | 30.86 | |
| VNT | Vontier Corp | 0.05 | 8 per month | 1.81 | 0.04 | 3.42 | -3.11 | 8.90 | |
| VICR | Vicor | 10.94 | 11 per month | 4.18 | 0.21 | 7.88 | -8.09 | 24.94 | |
| SANM | Sanmina | -0.08 | 12 per month | 0.00 | -0.05 | 6.14 | -8.26 | 27.70 | |
| CVLT | CommVault Systems | -1.42 | 8 per month | 0.00 | -0.11 | 3.34 | -6.38 | 35.55 | |
| OSIS | OSI Systems | -3.77 | 12 per month | 2.46 | 0.04 | 4.86 | -3.51 | 13.45 | |
| NOVT | Novanta | -6.07 | 7 per month | 2.50 | 0.03 | 5.10 | -3.93 | 17.17 |
Other Forecasting Options for Littelfuse
Investors evaluating Littelfuse at any level need to understand the significance of Littelfuse's price movement for their investment outcomes. The presence of noise in Littelfuse Stock price charts demands careful analysis to avoid misinterpreting short-term fluctuations as trends.Littelfuse Related Equities
The following equities are related to Littelfuse within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Littelfuse 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 |
Littelfuse Market Strength Events
Market strength indicators applied to Littelfuse help investors evaluate how the stock tracks overall market momentum and conditions. These signals are used to determine optimal timing for entering or exiting Littelfuse positions.
| Accumulation Distribution | 12191.82 | |||
| Daily Balance Of Power | 0.0274 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 329.58 | |||
| Day Typical Price | 328.44 | |||
| Price Action Indicator | -3.21 | |||
| Period Momentum Indicator | 0.37 |
Littelfuse Risk Indicators
The assessment of Littelfuse's risk indicators plays a key role in forecasting its future price and managing investment exposure. Investors who measure Littelfuse's risk profile carefully are better equipped to decide how to manage their positions.
| Mean Deviation | 2.02 | |||
| Semi Deviation | 2.17 | |||
| Standard Deviation | 2.63 | |||
| Variance | 6.94 | |||
| Downside Variance | 6.87 | |||
| Semi Variance | 4.71 | |||
| Expected Short fall | -2.08 |
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 Littelfuse
Coverage intensity for Littelfuse matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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Littelfuse Short Properties
Short sentiment tied to Littelfuse matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 24.9 M | |
| Cash And Short Term Investments | 563.7 M |
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