Materialise Stock Forward View - Simple Regression
| MTLS Stock | USD 5.23 -0.19 -3.51% |
Momentum
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 1.128 | EPS Estimate Next Quarter 0.03 | EPS Estimate Current Year 0.12 | EPS Estimate Next Year 0.2533 | Wall Street Target Price 8.4731 |
This section provides headline-driven context for Materialise NV alongside peer activity. The sentiment layer reflects Materialise's options activity and short interest context.
Materialise Short Interest View
A sudden spike in Materialise's short interest may indicate that institutional investors have identified specific risks - such as earnings disappointments or regulatory events - not yet priced into the market.
200 Day MA 5.5942 | Short Percent 0.0171 | Short Ratio 2.95 | Shares Short Prior Month 385 K | 50 Day MA 5.5052 |
Materialise RSI Context
The Simple Regression forecasted value of Materialise NV on the next trading day is expected to be 5.25 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.52.Materialise NV Hype-Price Relationship
Sentiment data for Materialise NV synthesizes media coverage, analyst tone, and social engagement into a single signal. When Materialise's sentiment diverges sharply from price, a mean-reversion trade may be developing.
For Materialise, sentiment analysis reveals whether the prevailing narrative matches business reality. A persistent divergence often resolves in the direction of fundamentals once sentiment normalizes.
Materialise Implied Volatility | 1.01 |
When Materialise's implied volatility is unusually high relative to its historical average, options premiums are inflated. Sophisticated investors may choose to sell options in this environment to collect elevated premium income.
The Simple Regression forecasted value of Materialise NV on the next trading day is expected to be 5.25 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.52.Materialise after-hype prediction price | $ 5.26 |
The sentiment panel provides context that can be compared with forecasting models and technical indicators.
Materialise | Build AI portfolio with Materialise Stock |
Open Interest Context: Materialise 2026-05-15 Options
Open interest represents the number of active Materialise option contracts and offers a participation signal.
Materialise Additional Predictive Modules
Most predictive techniques to examine Materialise price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Materialise using various technical indicators. When you analyze Materialise 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 16th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of Materialise NV on the next trading day is expected to be 5.25 with a mean absolute deviation of 0.12 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 7.52 .Please note that although there have been many attempts to predict Materialise 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 Materialise's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Materialise | Materialise Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Materialise NV 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 Materialise stock data series using in forecasting. Note that when a statistical model is used to represent Materialise 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 | 114.56 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1233 |
| MAPE | Mean absolute percentage error | 0.0221 |
| SAE | Sum of the absolute errors | 7.5197 |
The mean reversion effect in Materialise is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of Materialise's price dislocation is essential before acting.
After-Hype Price Density Analysis
The probability distribution for Materialise's predicted price encodes the full spectrum of outcomes, weighted by their estimated likelihood. Investors should compare this range against their personal risk tolerance before committing to Materialise positions.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The news prediction model for Materialise analyzes the correlation between Materialise's historical headline events and same-day or next-day price movements. Materialise's after-hype downside and upside margins for the prediction period are 2.19 and 8.33, respectively. Predictive accuracy varies significantly across different news categories and market regimes for Materialise.
Current Value
The after-hype framework applied to Materialise NV 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 Materialise is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Materialise 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 Materialise, 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 |
0.07 | 3.07 | 0.03 | 0.01 | 3 Events | 8 Events | In 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
5.23 | 5.26 | 0.57 |
|
Hype Timeline
Materialise NV is now traded for 5.23. The company has historical hype elasticity of 0.03, and average elasticity to hype of competition of 0.01. Materialise is expected to increase in value after the next headline, with the price projected to jump to 5.26 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.57%, whereas the daily expected return is now at -0.07%. The volatility of related hype on Materialise is about 3987.01%, with the expected price after the next announcement by competition of 5.24. The company reported previous year's revenue of 257.07 M. Net Income was 7.41 M with profit before overhead, payroll, taxes, and interest of 152.95 M. Given the investment horizon of 90 days the next expected press release will be in 3 days. Historical Fundamental Analysis of Materialise can be used to cross-verify projections for Materialise. The historical series provides projection context.Related Hype Analysis
Sector-wide news events often affect Materialise before the fundamental impact on Materialise's own business becomes clear. Peer hype analysis helps investors distinguish between sector-level sentiment shifts and Materialise-specific developments.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LAW | CS Disco LLC | -0.06 | 10 per month | 0.00 | -0.11 | 8.74 | -12.92 | 26.27 | |
| CMRC | Commerce | 0.27 | 8 per month | 0.00 | -0.19 | 4.96 | -9.12 | 22.54 | |
| MITK | Mitek Systems | 0.83 | 12 per month | 2.10 | 0.17 | 8.87 | -4.08 | 25.38 | |
| EGAN | eGain | -0.84 | 9 per month | 0.00 | -0.03 | 3.74 | -3.45 | 14.43 | |
| PUBM | Pubmatic | -0.25 | 10 per month | 0.00 | -0.02 | 4.61 | -4.20 | 18.25 | |
| RMNI | Rimini Street | 0.30 | 9 per month | 0.00 | -0.07 | 3.38 | -3.72 | 26.17 | |
| RPAY | Repay Holdings Corp | -0.15 | 8 per month | 0.00 | -0.08 | 4.14 | -6.42 | 16.12 | |
| BKKT | Bakkt Holdings | -0.27 | 8 per month | 0.00 | -0.01 | 12.23 | -8.94 | 55.99 | |
| GRRR | Gorilla Technology Group | 0.02 | 10 per month | 0.00 | -0.06 | 8.26 | -7.78 | 24.43 | |
| RXT | Rackspace Technology | 0.92 | 37 per month | 5.13 | 0.10 | 13.85 | -11.31 | 240.66 |
Other Forecasting Options for Materialise
For both new and experienced investors in Materialise, the ability to analyze Materialise's price movement is a fundamental investment skill. Price chart noise in Materialise Stock can create false signals and mislead investment decisions.Materialise Related Equities
The following equities are related to Materialise within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Materialise 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 |
Materialise Market Strength Events
Tracking market strength indicators for Materialise helps investors understand the momentum dynamics of the stock in real time. These signals support informed decisions about when to enter or exit positions in Materialise NV for maximum return potential.
Materialise Risk Indicators
Properly assessing Materialise's risk indicators is a prerequisite for building reliable price forecasts. Identifying and quantifying the risks associated with Materialise's allows investors to make better-informed decisions about accepting or hedging their exposure.
| Mean Deviation | 2.12 | |||
| Standard Deviation | 3.01 | |||
| Variance | 9.06 |
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 Materialise
Coverage intensity for Materialise NV 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.
Contributor Headline
Latest Perspective From Macroaxis
Materialise Short Properties
Short sentiment tied to Materialise NV 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 | 59.1 M | |
| Cash And Short Term Investments | 133.9 M |
Additional Tools for Materialise Stock Analysis
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Portfolio Holdings Check your current holdings and cash position to determine if your portfolio needs rebalancing | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Transaction History View history of all your transactions and understand their impact on performance |