Extreme Networks Stock Price Patterns
| EXTR Stock | USD 14.74 0.25 1.73% |
Momentum
Sell Peaked
Oversold | Overbought |
This section frames Extreme Networks response to recent headlines in a peer context. Sentiment is summarized using Extreme Networks' options positioning and short interest activity.
Extreme Networks Implied Volatility | 0.75 |
Extreme Networks' implied volatility reflects the market's expectation for price variability, not direction. The measure is presented as informational context for volatility interpretation.
Hype analysis for Extreme Networks tracks headline volume and attention shifts as contextual signals for performance.
Extreme Networks after-hype prediction price | $ 14.17 |
This view adds attention context to forecasting, technical signals, analyst estimates, and earnings data.
Rule 16 Reference for the current Extreme contract
Rule 16 converts implied volatility into an estimated daily move of about 0.0469% for 2026-06-18 options. This estimate is a volatility reference; at $ 14.74, it implies a move of about $ 0.01 per day.
Use Extreme Networks Basic Forecasting Models to cross-verify projections for Extreme Networks. The models provide a structured reference point.The degree to which Extreme Networks' exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
After-Hype Price Density Analysis
The after-hype price distribution for Extreme Networks helps investors understand how much of Extreme Networks' predicted return comes from the central scenario versus tail outcomes. Strategies that rely on tail events for Extreme Networks are inherently more speculative.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical news patterns for Extreme Networks reveal how the market has historically digested different types of information about Extreme Networks' business and market environment. Extreme Networks' after-hype downside and upside margins for the prediction period are 12.29 and 16.05, respectively. The model extrapolates these patterns to estimate likely price boundaries following the next significant.
Current Value
This after-hype projection for Extreme Networks uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. Extreme Networks is Low at this time.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Extreme Networks is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Extreme Networks 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 Extreme Networks, 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 |
0.22 | 1.88 | 0.14 | 0.11 | 9 Events | 7 Events | In 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.74 | 14.17 | 2.21 |
|
Hype Timeline
Extreme Networks is currently traded for 14.74. The company has historical hype elasticity of -0.14, and average elasticity to hype of competition of 0.11. Extreme is anticipated to decline in value after the next headline, with the price expected to drop to 14.17. 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 -2.21%, whereas the daily expected return is currently at -0.22%. The volatility of related hype on Extreme Networks is about 387.63%, with the expected price after the next announcement by competition of 14.85. About 93.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 0.59. Extreme Networks had its last dividend issued on the 29th of October 2010. The company completed a 2:1 stock split on 25th of August 2000. Given the investment horizon of 90 days the next anticipated press release will be in 9 days. Use Extreme Networks Basic Forecasting Models to cross-verify projections for Extreme Networks. The models provide a structured reference point.Related Hype Analysis
Peer hype analysis helps investors build a more complete picture of Extreme Networks' competitive environment by quantifying the market's sensitivity to news across all major players in Extreme Networks's sector.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ONDS | Ondas Holdings | -0.27 | 9 per month | 6.53 | 0.07 | 13.70 | -11.94 | 33.14 | |
| KN | Knowles Cor | 0.91 | 9 per month | 2.09 | 0.06 | 3.71 | -3.55 | 13.91 | |
| DIOD | Diodes Incorporated | 0.52 | 9 per month | 2.47 | 0.10 | 4.79 | -3.93 | 34.01 | |
| ODD | ODDITY Tech Ltd | 0.52 | 7 per month | 0.00 | -0.19 | 5.26 | -8.02 | 55.97 | |
| CNXC | Concentrix | 1.55 | 10 per month | 0.00 | -0.03 | 5.72 | -9.35 | 19.57 | |
| ALRM | Alarm Holdings | 1.18 | 7 per month | 0.00 | -0.07 | 3.42 | -2.96 | 8.48 | |
| QUBT | Quantum Computing | 0.50 | 8 per month | 0.00 | -0.12 | 7.31 | -9.32 | 30.75 | |
| SPNS | Sapiens International | -0.09 | 7 per month | 0.00 | 0.12 | 0.28 | -0.12 | 32,006 | |
| ACLS | Axcelis Technologies | -0.20 | 10 per month | 0.00 | -0.01 | 5.46 | -5.00 | 23.94 | |
| DXC | DXC Technology Co | 0.23 | 10 per month | 0.00 | -0.06 | 5.56 | -5.79 | 18.35 |
Extreme Networks Additional Predictive Modules
Most predictive techniques to examine Extreme price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Extreme using various technical indicators. When you analyze Extreme 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 |
Sentiment Indicators & Methodology
Sentiment analysis for Extreme Networks evaluates news tone, positioning, and narrative momentum. Narrative divergence can signal instability and regime transition risk. Extreme Networks has a market cap of 1.95 B, P/E of 57.61, ROE of 12.43%.
Unless otherwise specified, data for Extreme Networks is compiled from periodic company reporting and market reference feeds and standardized for comparability. Sell-side coverage, where present, supplements the data shown. Updates may occur throughout the day.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardPair Trading with Extreme Networks
Using Extreme Networks in a pair-trading setup can improve risk control because gains and losses are judged against a second position instead of against the market alone. A disciplined pair strategy still requires monitoring because correlation can weaken when market regimes change.
Moving together with Extreme Stock
Moving against Extreme Stock
| 0.9 | XOM | Exxon Mobil Corp Aggressive Push | PairCorr |
| 0.88 | MRK | Merck Company | PairCorr |
| 0.84 | PG | Procter Gamble | PairCorr |
| 0.83 | KB | KB Financial Group | PairCorr |
| 0.8 | SHG | Shinhan Financial | PairCorr |
| 0.8 | PFE | Pfizer Inc | PairCorr |
The information in the correlation table below can inform Extreme Networks tax-loss harvesting decisions, showing which instruments historically move in lockstep with Extreme Networks and can serve as viable temporary replacements.
Negative correlation assets provide natural hedges against Extreme Networks positions. When Extreme Networks's value declines, a negatively correlated instrument tends to rise, partially offsetting portfolio losses.
Correlation analysis and pair trading evaluation for Extreme Networks can be used to frame hedging context. The method can be applied across sectors and broader equity sets.Additional Tools for Extreme Stock Analysis
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