BJs Restaurants Stock Price Patterns
| BJRI Stock | USD 36.16 0.78 2.20% |
Momentum
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.347 | EPS Estimate Next Quarter 0.6501 | EPS Estimate Current Year 2.3347 | EPS Estimate Next Year 2.7008 | Wall Street Target Price 45.2222 |
Attention patterns for BJs Restaurants are aligned with recent price response. The dataset includes peer-based comparisons of attention and response. This section summarizes BJs Restaurants' options flow and short interest as sentiment inputs. The dataset combines derivatives positioning with short selling data for sentiment context.
Short Interest Overview for BJs Restaurants
Changes in BJs Restaurants' short interest are tracked as sentiment context. All metrics are derived from available inputs and shown for reference.
200 Day MA 37.7371 | Short Percent 0.1186 | Short Ratio 4.4 | Shares Short Prior Month 1.3 M | 50 Day MA 40.4252 |
BJs Restaurants Attention vs Price Pattern
Average sentiment around BJs Restaurants is summarized to provide attention context. The dataset is based on available price and volume observations.
This view compares attention trends with price response for BJs Restaurants. The information is presented without directional commentary.
BJs Restaurants Implied Volatility | 1.12 |
Implied volatility for BJs Restaurants translates options pricing into an expected variability measure. This information is provided for contextual purposes.
Hype analysis for BJs Restaurants tracks headline volume and attention shifts as contextual signals. All values reflect publicly observed attention inputs.
BJs Restaurants after-hype prediction price | $ 35.18 |
This hype view sits alongside price forecasting, technical analysis, and analyst consensus. All figures are drawn from publicly available data sources.
Rule 16 Summary for current BJs contract
Rule 16 translates implied volatility into an estimated daily move of roughly 0.07% for 2026-04-17 options. With BJs Restaurants trading near $ 36.16, this corresponds to about $ 0.03 per day.
Cross-verification for BJs Restaurants is supported by the BJs Restaurants Basic Forecasting Models module.The mean reversion effect in BJs Restaurants is stronger when the initial deviation was driven by sentiment rather than fundamentals. Such deviations have sometimes corrected when the initial catalyst fades, though timing remains uncertain. The degree to which BJs Restaurants' exhibits mean reversion depends on how efficiently the market prices new information. Short-term deviations can persist and even widen before correcting, making position sizing critical.
After-Hype Price Density Analysis
Visualizing the full distribution of potential BJs Restaurants outcomes discourages binary thinking about investments. The width and shape of BJs Restaurants's distribution determine how often extreme deviations from the central forecast occur. The asymmetry in BJs Restaurants' distribution is a key input for options pricing and risk management around BJs Restaurants. The probability distribution for BJs Restaurants is one component of a broader analytical framework combining technical and fundamental data.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical analysis of BJs Restaurants reveals distinct patterns in how BJs Restaurants' price responds to different news categories. BJs Restaurants' after-hype downside and upside margins for the prediction period are 32.99 and 37.37, respectively. No fundamental valuation inputs are used in this model; it is a purely empirical approach for BJs Restaurants.
Current Value
This after-hype projection for BJs Restaurants uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. The objective is to separate event-driven enthusiasm from a more stable price path once the market absorbs the catalyst.
Price Outlook Analysis
Sudden rallies in BJs Restaurants without backing data often point to speculative buying or fund shifts. Short-term traders and algo systems reacting to BJs Restaurants news can build momentum that draws more buyers.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.22 | 2.19 | 0.19 | 0.06 | 11 Events | 8 Events | In 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
36.16 | 35.18 | 0.54 |
|
Hype Timeline
BJs Restaurants is currently traded for 36.16. The company has historical hype elasticity of -0.19, and average elasticity to hype of competition of 0.06. BJs is projected to decline in value after the next headline, with the price expected to drop to 35.18. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.54%, whereas the daily expected return is currently at -0.22%. The volatility of related hype on BJs Restaurants is about 776.6%, with the expected price after the next announcement by competition of 36.22. About 93.0% of the company shares are held by institutions such as insurance companies. The book value of BJs Restaurants was currently reported as 17.34. The company has Price/Earnings To Growth (PEG) ratio of 1.16. BJs Restaurants had its last dividend issued on the 9th of March 2020. Given the investment horizon of 90 days the next projected press release will be in 11 days. Cross-verification for BJs Restaurants is supported by the BJs Restaurants Basic Forecasting Models module.Related Hype Analysis
Tracking the hype elasticity of BJs Restaurants' direct competitors quantifies cross-asset sentiment effects on BJs Restaurants. High hype elasticity between BJs Restaurants and a peer indicates a strong market linkage in sentiment response. The information ratio and semi-deviation metrics provide a risk-adjusted view of BJs Restaurants' competitors. news-to-return efficiency. These leading indicators help investors anticipate how BJs Restaurants may respond to comparable market events.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SG | Sweetgreen | 0.32 | 10 per month | 0.00 | -0.06 | 6.90 | -7.24 | 22.30 | |
| CBRL | Cracker Barrel Old | -0.18 | 7 per month | 2.98 | 0.05 | 6.40 | -5.07 | 13.74 | |
| LQDT | Liquidity Services | -0.14 | 10 per month | 0.00 | -0.01 | 2.42 | -3.52 | 11.17 | |
| BLMN | Bloomin Brands | -0.56 | 6 per month | 0.00 | -0.04 | 6.06 | -6.64 | 22.39 | |
| AXL | American Axle Manufacturing | -0.30 | 8 per month | 0.00 | -0.03 | 8.55 | -5.77 | 23.81 | |
| KRUS | Kura Sushi USA | 2.45 | 12 per month | 3.25 | 0.09 | 6.55 | -5.25 | 26.59 | |
| MYE | Myers Industries | 0.93 | 6 per month | 1.82 | 0.07 | 3.38 | -3.05 | 9.97 | |
| ACEL | Accel Entertainment | 0.04 | 17 per month | 1.92 | 0.04 | 2.69 | -3.47 | 24.64 | |
| HDL | SUPER HI INTERNATIONAL | 0.00 | 7 per month | 0.00 | -0.05 | 3.37 | -4.37 | 10.76 | |
| BALY | Ballys Corp | 0.26 | 7 per month | 0.00 | -0.12 | 4.71 | -6.17 | 16.79 |
BJs Restaurants Additional Predictive Modules
Statistical forecasting for BJs Restaurants begins with identifying which indicator configurations have historically preceded directional moves. Non-stationary data - where mean and variance shift over time - is the norm for BJs, making adaptive models preferable.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sentiment Indicators & Methodology
Sentiment analysis for BJs Restaurants evaluates news tone, positioning, and narrative momentum. News flow can reinforce structural moves in the underlying exposure set. BJs Restaurants has a market cap of 743.17 M, P/E of 649.75, ROE of 13.26%.
BJs Restaurants metrics are compiled from periodic company reporting and market reference feeds and normalized before display. Analyst inputs may be included when coverage is available. Not all fields update in real time.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardCurrently Active Assets on Macroaxis
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