Extreme Networks Stock Price Prediction
| EXTR Stock | USD 14.53 0.35 2.47% |
Momentum 33
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.859 | EPS Estimate Next Quarter 0.1815 | EPS Estimate Current Year 0.7873 | EPS Estimate Next Year 1.015 | Wall Street Target Price 19.8333 |
Using Extreme Networks hype-based prediction, you can estimate the value of Extreme Networks from the perspective of Extreme Networks response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Extreme Networks using Extreme Networks' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Extreme using crowd psychology based on the activity and movement of Extreme Networks' stock price.
Extreme Networks Short Interest
An investor who is long Extreme Networks may also wish to track short interest. As short interest increases, investors should be becoming more worried about Extreme Networks and may potentially protect profits, hedge Extreme Networks with its derivative instruments, or be ready for some potential downside.
200 Day MA 14.9873 | Short Percent 0.0476 | Short Ratio 4.38 | Shares Short Prior Month 5 M | 50 Day MA 15.8884 |
Extreme Networks Hype to Price Pattern
Investor biases related to Extreme Networks' public news can be used to forecast risks associated with an investment in Extreme. The trend in average sentiment can be used to explain how an investor holding Extreme can time the market purely based on public headlines and social activities around Extreme Networks. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Extreme Networks' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Extreme Networks.
Extreme Networks Implied Volatility | 0.62 |
Extreme Networks' implied volatility exposes the market's sentiment of Extreme Networks stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Extreme Networks' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Extreme Networks stock will not fluctuate a lot when Extreme Networks' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Extreme Networks to buy its stock at a price that has no basis in reality. In that case, they are not buying Extreme because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Extreme Networks after-hype prediction price | USD 14.47 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Extreme contract
Based on the Rule 16, the options market is currently suggesting that Extreme Networks will have an average daily up or down price movement of about 0.0388% per day over the life of the 2025-06-20 option contract. With Extreme Networks trading at USD 14.53, that is roughly USD 0.00563 . If you think that the market is fully incorporating Extreme Networks' daily price movement you should consider acquiring Extreme Networks options at the current volatility level of 0.62%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Extreme |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Extreme Networks' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Extreme Networks After-Hype Price Prediction Density Analysis
As far as predicting the price of Extreme Networks at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Extreme Networks or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Extreme Networks, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Extreme Networks Estimiated After-Hype Price Volatility
In the context of predicting Extreme Networks' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Extreme Networks' historical news coverage. Extreme Networks' after-hype downside and upside margins for the prediction period are 12.37 and 16.57, respectively. We have considered Extreme Networks' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Extreme Networks is not too volatile at this time. Analysis and calculation of next after-hype price of Extreme Networks is based on 3 months time horizon.
Extreme Networks Stock Price Prediction 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 |
0.38 | 2.10 | 0.06 | 0.11 | 11 Events / Month | 9 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
14.53 | 14.47 | 0.41 |
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Extreme Networks Hype Timeline
Extreme Networks is currently traded for 14.53. The entity has historical hype elasticity of -0.06, 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 14.47. 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 -0.41%, whereas the daily expected return is currently at -0.38%. The volatility of related hype on Extreme Networks is about 716.54%, with the expected price after the next announcement by competition of 14.42. 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 0.84. Extreme Networks recorded a loss per share of 0.93. The entity last dividend was issued on the 29th of October 2010. The firm had 2:1 split on the 25th of August 2000. Given the investment horizon of 90 days the next anticipated press release will be in about 11 days. Check out Extreme Networks Basic Forecasting Models to cross-verify your projections.Extreme Networks Related Hype Analysis
Having access to credible news sources related to Extreme Networks' direct competition is more important than ever and may enhance your ability to predict Extreme Networks' future price movements. Getting to know how Extreme Networks' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Extreme Networks may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KN | Knowles Cor | 0.06 | 8 per month | 0.00 | (0.13) | 1.86 | (2.70) | 6.22 | |
| KVHI | KVH Industries | (0.05) | 9 per month | 0.00 | (0.01) | 2.83 | (4.29) | 10.18 | |
| CMTL | Comtech Telecommunications Corp | (0.14) | 10 per month | 0.00 | (0.06) | 15.23 | (9.39) | 65.93 | |
| SATS | EchoStar | 0.45 | 8 per month | 2.62 | 0.1 | 4.83 | (2.95) | 16.24 | |
| ADTN | ADTRAN Inc | (1.72) | 9 per month | 3.31 | 0.08 | 6.96 | (5.98) | 19.02 | |
| CASA | Casa Systems | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NTGR | NETGEAR | (0.15) | 11 per month | 0.00 | 0.03 | 4.41 | (5.11) | 12.12 | |
| DGII | Digi International | 0.21 | 8 per month | 0.00 | (0.01) | 3.38 | (4.09) | 21.42 | |
| CIEN | Ciena Corp | (3.81) | 11 per month | 0.00 | (0) | 5.23 | (6.13) | 36.49 | |
| HPE | Hewlett Packard Enterprise | 0.55 | 8 per month | 0.00 | (0.18) | 3.37 | (5.18) | 16.69 | |
| MSI | Motorola Solutions | 1.47 | 8 per month | 0.00 | (0.09) | 1.99 | (2.78) | 8.03 | |
| CLFD | Clearfield | (0.70) | 10 per month | 0.00 | 0.03 | 4.85 | (5.49) | 13.68 | |
| HLIT | Harmonic | 0.02 | 9 per month | 0.00 | (0.07) | 3.51 | (3.39) | 18.88 |
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 |
About Extreme Networks Predictive Indicators
The successful prediction of Extreme Networks stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Extreme Networks, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Extreme Networks based on analysis of Extreme Networks hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Extreme Networks's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Extreme Networks's related companies. | 2022 | 2023 | 2024 | 2025 (projected) | Days Sales Outstanding | 50.63 | 29.25 | 33.63 | 59.83 | PTB Ratio | 28.89 | 67.14 | 60.43 | 63.45 |
Story Coverage note for Extreme Networks
The number of cover stories for Extreme Networks depends on current market conditions and Extreme Networks' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Extreme Networks is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Extreme Networks' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Extreme Networks Short Properties
Extreme Networks' future price predictability will typically decrease when Extreme Networks' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Extreme Networks often depends not only on the future outlook of the potential Extreme Networks' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Extreme Networks' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 129.3 M | |
| Cash And Short Term Investments | 156.7 M |
Additional Tools for Extreme Stock Analysis
When running Extreme Networks' price analysis, check to measure Extreme Networks' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Extreme Networks is operating at the current time. Most of Extreme Networks' value examination focuses on studying past and present price action to predict the probability of Extreme Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Extreme Networks' price. Additionally, you may evaluate how the addition of Extreme Networks to your portfolios can decrease your overall portfolio volatility.