DBV Technologies Stock Forward View - Simple Regression
| DBVT Stock | USD 20.53 0.47 2.34% |
Momentum
Sell Peaked
Oversold | Overbought |
EPS Estimate Next Quarter -0.30 | EPS Estimate Current Year -0.85 | EPS Estimate Next Year -0.44 | Wall Street Target Price 38.9988 | EPS Estimate Current Quarter -0.29 |
This view maps DBV Technologies attention shifts to recent price behavior and peer activity.
RSI Reading for DBV
The Simple Regression forecasted value of DBV Technologies on the next trading day is expected to be 22.59 with a mean absolute deviation of 1.42 and the sum of the absolute errors of 88.23.DBV Technologies Hype-to-Price View
For DBV, sentiment analysis bridges the gap between reported news and actual price behavior. When DBV Technologies' sentiment is strongly positive but the stock is declining, it may signal distribution by informed sellers.
DBV Technologies' sentiment trend over time - whether improving, deteriorating, or plateauing - provides context for interpreting recent price moves in DBV Technologies.
The Simple Regression forecasted value of DBV Technologies on the next trading day is expected to be 22.59 with a mean absolute deviation of 1.42 and the sum of the absolute errors of 88.23.DBV Technologies after-hype prediction price | $ 20.53 |
The hype panel supports comparisons with forecasting models, technical signals, analyst consensus, and earnings.
Historical Fundamental Analysis of DBV Technologies provides a cross-check on projections for DBV Technologies. The historical series provides projection context.DBV Technologies Additional Predictive Modules
Most predictive techniques to examine DBV price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DBV using various technical indicators. When you analyze DBV 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 DBV Technologies on the next trading day is expected to be 22.59 with a mean absolute deviation of 1.42 , mean absolute percentage error of 3.20 , and the sum of the absolute errors of 88.23 .Please note that although there have been many attempts to predict DBV 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 DBV Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest DBV Technologies | DBV Technologies Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for DBV 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 DBV Technologies stock data series using in forecasting. Note that when a statistical model is used to represent DBV 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 | 121.1112 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.423 |
| MAPE | Mean absolute percentage error | 0.0697 |
| SAE | Sum of the absolute errors | 88.2281 |
Valuation-driven investors use mean reversion to time DBV Technologies' investments: buying when it trades materially below its historical average valuation multiples and selling when it reaches premium territory.
After-Hype Price Density Analysis
The price distribution chart for DBV Technologies visualizes our statistical uncertainty about DBV Technologies' future price. This uncertainty is inherent in all forecasting, and any model claiming to eliminate it for DBV Technologies should be viewed with skepticism.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Our news impact model for DBV Technologies estimates the statistical distribution of after-hype price outcomes based on DBV Technologies' historical reactions to comparable events. DBV Technologies' after-hype downside and upside margins for the prediction period are 14.45 and 26.61, respectively. The model is descriptive rather than predictive and reflects what has historically happened - not what will.
Current Value
The after-hype framework applied to DBV 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 DBV Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DBV 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 DBV 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 |
0.37 | 6.08 | 0.30 | 0.03 | 11 Events | 6 Events | In 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
20.53 | 20.53 | 0.00 |
|
Hype Timeline
DBV Technologies is currently traded for 20.53. The company has historical hype elasticity of -0.3, and average elasticity to hype of competition of 0.03. DBV is anticipated 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 anticipated to be very small, whereas the daily expected return is currently at 0.37%. %. The volatility of related hype on DBV Technologies is about 6755.56%, with the expected price after the next announcement by competition of 20.56. About 32.0% of the company shares are held by institutions such as insurance companies. The company recorded a loss per share of 5.2. DBV Technologies had not issued any dividends in recent years. The company completed a 1:2 stock split on 7th of June 2024. Given the investment horizon of 90 days the next anticipated press release will be in 11 days. Historical Fundamental Analysis of DBV Technologies provides a cross-check on projections for DBV Technologies. The historical series provides projection context.Related Hype Analysis
The peer hype summary table for DBV Technologies serves as a competitive intelligence tool, helping investors understand the news sensitivity landscape around DBV Technologies' sector and identify the companies most likely to influence DBV Technologies's near-term performance.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LRMR | Larimar Therapeutics | 0.10 | 8 per month | 3.84 | 0.07 | 9.59 | -7.23 | 73.24 | |
| ANNX | Annexon | 0.12 | 9 per month | 3.82 | 0.08 | 8.77 | -6.79 | 21.12 | |
| ALT | Altimmune | -0.09 | 11 per month | 0.00 | -0.08 | 9.60 | -6.22 | 34.32 | |
| KRRO | Frequency Therapeutics | -0.48 | 7 per month | 3.05 | 0.20 | 10.37 | -5.87 | 20.52 | |
| ENGN | enGene Holdings Common | 0.38 | 5 per month | 0.00 | -0.01 | 8.59 | -7.61 | 33.16 | |
| AMRN | Amarin PLC | 0.11 | 8 per month | 2.90 | 0.04 | 6.11 | -4.37 | 26.36 | |
| ANRO | Alto Neuroscience | 0.89 | 7 per month | 4.21 | 0.17 | 10.39 | -7.29 | 23.67 | |
| LXEO | Lexeo Therapeutics Common | -0.27 | 9 per month | 0.00 | -0.08 | 6.22 | -6.37 | 34.26 | |
| CLLS | Cellectis SA | -0.07 | 4 per month | 0.00 | -0.07 | 6.33 | -7.69 | 27.00 | |
| LBRX | LB Pharmaceuticals Common | 0.21 | 2 per month | 3.68 | 0.08 | 7.96 | -6.40 | 17.03 |
Other Forecasting Options for DBV Technologies
Price movement is the most critical factor for any investor assessing the potential of DBV as an investment. The noise inherent in DBV Stock price charts can obscure the underlying direction and make investment decisions more challenging.DBV Technologies Related Equities
The following equities are related to DBV Technologies within the Health Care space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DBV 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 |
DBV Technologies Market Strength Events
For investors in DBV Technologies, market strength indicators provide essential context about how the stock responds to prevailing market trends. These tools support more informed decisions about when to trade DBV Technologies for maximum effect.
| Accumulation Distribution | 26809.87 | |||
| Daily Balance Of Power | 0.3264 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 20.77 | |||
| Day Typical Price | 20.69 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | 0.47 |
DBV Technologies Risk Indicators
Identifying and analyzing DBV Technologies' risk indicators provides investors with important context for price forecasting and investment decision-making. By understanding how much risk is embedded in DBV Technologies' investment, investors can make better choices about position sizing,.
| Mean Deviation | 4.56 | |||
| Semi Deviation | 4.81 | |||
| Standard Deviation | 6.23 | |||
| Variance | 38.87 | |||
| Downside Variance | 25.0 | |||
| Semi Variance | 23.13 | |||
| Expected Short fall | -5.48 |
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 DBV Technologies
Coverage intensity for DBV 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.
Contributor Headline
Latest Perspective From Macroaxis
DBV Technologies Short Properties
Short sentiment tied to DBV 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 | 19.2 M | |
| Cash And Short Term Investments | 32.5 M |
Additional Tools for DBV Stock Analysis
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |