UFP Technologies Stock Forward View - Simple Regression
| UFPT Stock | USD 204.31 -5.28 -2.52% |
Momentum
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.068 | EPS Estimate Next Quarter 2.47 | EPS Estimate Current Year 10.2425 | EPS Estimate Next Year 11.4525 | Wall Street Target Price 324.5 |
This section summarizes UFP Technologies headline activity and related price response context. Options and short interest metrics are combined here to describe sentiment for UFP Technologies.
Short Interest Activity for UFP Technologies
Short sellers in UFP Technologies profit when UFP Technologies' stock falls below their entry price. Monitoring short interest helps long investors understand the magnitude of selling pressure they face.
200 Day MA 225.4909 | Short Percent 0.1786 | Short Ratio 5.26 | Shares Short Prior Month 1.1 M | 50 Day MA 241.0984 |
RSI Momentum View - UFP
The Simple Regression forecasted value of UFP Technologies on the next trading day is expected to be 228.45 with a mean absolute deviation of 17.33 and the sum of the absolute errors of 1,074.Hype and Price Context: UFP Technologies
When UFP Technologies' news sentiment peaks, stock prices often follow with a lag. Similarly, sentiment troughs can mark price bottoms if fundamental business quality remains intact.
Tracking how UFP Technologies' sentiment evolves after major announcements helps investors assess whether the market's reaction was proportionate or whether an over-correction created a new entry opportunity in UFP Technologies.
UFP Technologies Implied Volatility | 1.57 |
The implied volatility skew for UFP Technologies options - the difference in implied volatility between puts and calls at different strikes - reveals the market's asymmetric fear of downside versus upside moves in UFP Technologies' stock.
The Simple Regression forecasted value of UFP Technologies on the next trading day is expected to be 228.45 with a mean absolute deviation of 17.33 and the sum of the absolute errors of 1,074.UFP Technologies after-hype prediction price | $ 204.31 |
This module presents attention signals alongside forecasting, technical analysis, analyst consensus, and earnings.
Cross-verify projections for UFP Technologies using Historical Fundamental Analysis of UFP Technologies. The historical view provides additional context.Rule 16 Reference for the current UFP contract - Pricing Context
Based on Rule 16, the market-implied daily move for 2026-03-20 options is about 0.0981%. This estimate is a volatility reference; at $ 204.31, it implies a move of about $ 0.2 per day.
Open Interest Distribution for UFP 2026-03-20 Options
Active contract counts for UFP Technologies are shown through open interest, offering positioning and liquidity context.
UFP Technologies Additional Predictive Modules
Most predictive techniques to examine UFP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for UFP using various technical indicators. When you analyze UFP 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 14th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of UFP Technologies on the next trading day is expected to be 228.45 with a mean absolute deviation of 17.33 , mean absolute percentage error of 360.79 , and the sum of the absolute errors of 1,074 .Please note that although there have been many attempts to predict UFP 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 UFP Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest UFP Technologies | UFP Technologies Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for UFP Technologies 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 UFP Technologies stock data series using in forecasting. Note that when a statistical model is used to represent UFP Technologies 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 | 125.8367 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 17.329 |
| MAPE | Mean absolute percentage error | 0.0739 |
| SAE | Sum of the absolute errors | 1074.3959 |
The mean reversion framework for UFP Technologies is built on the premise that markets are not perfectly efficient and that prices periodically overshoot their intrinsic value in both directions.
After-Hype Price Density Analysis
Visualizing the full distribution of potential UFP Technologies outcomes discourages binary thinking about investments. Rather than asking whether UFP Technologies' price will go up or down, the distribution approach asks: what is the range of outcomes and how probable is each?
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The news-based price prediction model for UFP Technologies is transparent: it measures how UFP Technologies' has historically reacted to news, not how it will theoretically behave. UFP Technologies' after-hype downside and upside margins for the prediction period are 201.42 and 207.20, respectively. Investors should use this model as one input among many when evaluating UFP Technologies ahead of anticipated news.
Current Value
The after-hype framework applied to UFP Technologies 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 UFP Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading UFP Technologies 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 UFP Technologies, 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 |
0.06 | 2.91 | 0.03 | 0.06 | 14 Events | 7 Events | In 14 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
204.31 | 204.31 | 0.00 |
|
Hype Timeline
UFP Technologies is at this time traded for 204.31. The company has historical hype elasticity of -0.03, and average elasticity to hype of competition of 0.06. UFP is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is at this time at -0.06%. %. The volatility of related hype on UFP Technologies is about 306.64%, with the expected price after the next announcement by competition of 204.37. About 96.0% of the company outstanding shares are owned by institutional investors. The book value of UFP Technologies was at this time reported as 54.95. The company recorded earning per share (EPS) of 8.74. UFP Technologies had not issued any dividends in recent years. Given the investment horizon of 90 days the next projected press release will be in 14 days. Cross-verify projections for UFP Technologies using Historical Fundamental Analysis of UFP Technologies. The historical view provides additional context.Related Hype Analysis
The peer hype analysis for UFP Technologies identifies which competitors tend to lead the sector in their news reactions. These leading indicators provide early signals about the direction of UFP Technologies' upcoming performance.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CNMD | CONMED | -0.83 | 4 per month | 0.00 | -0.06 | 3.36 | -3.89 | 11.74 | |
| SSII | SS Innovations International | -0.25 | 7 per month | 0.00 | -0.0027 | 10.84 | -9.94 | 43.77 | |
| ESTA | Establishment Labs Holdings | 13.20 | 10 per month | 0.00 | -0.02 | 4.55 | -5.74 | 13.50 | |
| AHCO | Adapthealth Corp | -1.19 | 7 per month | 3.15 | 0.05 | 4.59 | -3.90 | 22.33 | |
| ALVO | Alvotech | -0.02 | 10 per month | 0.00 | -0.17 | 3.98 | -5.82 | 16.71 | |
| PGNY | Progyny | -2.06 | 10 per month | 0.00 | -0.10 | 3.57 | -5.16 | 25.79 | |
| SDGR | Schrodinger | 0.08 | 9 per month | 0.00 | -0.14 | 4.96 | -5.42 | 21.90 | |
| SEM | Select Medical Holdings | 1.01 | 3 per month | 1.29 | 0.11 | 2.16 | -1.59 | 8.88 | |
| OMCL | Omnicell | -1.01 | 9 per month | 0.00 | 0.0027 | 4.22 | -4.34 | 23.86 | |
| IMNM | Immunome | 0.56 | 10 per month | 4.34 | 0.05 | 6.56 | -6.10 | 31.45 |
Other Forecasting Options for UFP Technologies
Price movement is the most fundamental factor that determines whether UFP is a viable investment for any investor. UFP Stock price charts are often noisy, making it difficult to identify meaningful patterns without analytical tools.UFP Technologies Related Equities
The following equities are related to UFP Technologies within the Health Care space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing UFP Technologies 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 |
UFP Technologies Market Strength Events
Assessing the market strength of UFP Technologies stock provides investors with a clearer picture of how the security reacts to evolving market dynamics. These indicators can be used to identify periods when trading UFP Technologies is most likely to be profitable.
UFP Technologies Risk Indicators
The analysis of UFP Technologies' basic risk metrics provides a foundation for forecasting its future price and managing investment risk. Identifying the magnitude of risk in UFP Technologies' helps investors choose between accepting or hedging their exposure.
| Mean Deviation | 1.95 | |||
| Standard Deviation | 2.82 | |||
| Variance | 7.95 |
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 UFP Technologies
Coverage intensity for UFP Technologies 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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UFP Technologies Short Properties
Short sentiment tied to UFP Technologies 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 | 7.8 M | |
| Cash And Short Term Investments | 20.3 M |
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