Ehealth Stock Price Prediction
| EHTH Stock | USD 7.83 0.10 1.29% |
Momentum 40
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.976 | EPS Estimate Next Quarter (0.71) | EPS Estimate Current Year (1.56) | EPS Estimate Next Year (0.53) | Wall Street Target Price 10.625 |
Using EHealth hype-based prediction, you can estimate the value of eHealth from the perspective of EHealth response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards EHealth using EHealth's stock options and short interest. It helps to benchmark the overall future attitude of investors towards EHealth using crowd psychology based on the activity and movement of EHealth's stock price.
EHealth Short Interest
A significant increase or decrease in EHealth's short interest from the previous month could be a good indicator of investor sentiment towards EHealth. Short interest can provide insight into the potential direction of EHealth stock and how bullish or bearish investors feel about the market overall.
200 Day MA 6.0775 | Short Percent 0.008 | Short Ratio 0.75 | Shares Short Prior Month 214.5 K | 50 Day MA 9.5268 |
eHealth Hype to Price Pattern
Investor biases related to EHealth's public news can be used to forecast risks associated with an investment in EHealth. The trend in average sentiment can be used to explain how an investor holding EHealth can time the market purely based on public headlines and social activities around eHealth. 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 EHealth's market sentiment to its price can help taders to make decisions based on the overall investors consensus about EHealth.
EHealth Implied Volatility | 1.27 |
EHealth's implied volatility exposes the market's sentiment of eHealth stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if EHealth's 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 EHealth stock will not fluctuate a lot when EHealth's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in EHealth to buy its stock at a price that has no basis in reality. In that case, they are not buying EHealth 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.
EHealth after-hype prediction price | USD 7.64 |
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 EHealth contract
Based on the Rule 16, the options market is currently suggesting that eHealth will have an average daily up or down price movement of about 0.0794% per day over the life of the 2025-05-16 option contract. With EHealth trading at USD 7.83, that is roughly USD 0.006215 . If you think that the market is fully incorporating EHealth's daily price movement you should consider acquiring eHealth options at the current volatility level of 1.27%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
EHealth |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EHealth's 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.
EHealth After-Hype Price Prediction Density Analysis
As far as predicting the price of EHealth 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 EHealth 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 EHealth, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
EHealth Estimiated After-Hype Price Volatility
In the context of predicting EHealth's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on EHealth's historical news coverage. EHealth's after-hype downside and upside margins for the prediction period are 1.00 and 14.28, respectively. We have considered EHealth's 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
EHealth is relatively risky at this time. Analysis and calculation of next after-hype price of eHealth is based on 3 months time horizon.
EHealth Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as EHealth is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading EHealth 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 EHealth, 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 |
0.78 | 6.64 | 0.19 | 0.83 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
7.83 | 7.64 | 2.43 |
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EHealth Hype Timeline
eHealth is currently traded for 7.83. The entity has historical hype elasticity of -0.19, and average elasticity to hype of competition of -0.83. EHealth is anticipated to decline in value after the next headline, with the price expected to drop to 7.64. 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 -2.43%, whereas the daily expected return is currently at 0.78%. The volatility of related hype on EHealth is about 625.43%, with the expected price after the next announcement by competition of 7.00. About 68.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 0.4. Some equities with similar Price to Book (P/B) outperform the market in the long run. eHealth has Price/Earnings To Growth (PEG) ratio of 0.72. The entity recorded a loss per share of 1.19. The firm had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be in about 8 days. Check out EHealth Basic Forecasting Models to cross-verify your projections.EHealth Related Hype Analysis
Having access to credible news sources related to EHealth's direct competition is more important than ever and may enhance your ability to predict EHealth's future price movements. Getting to know how EHealth's 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 EHealth may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GOCO | GoHealth | (0.21) | 8 per month | 4.16 | 0.09 | 9.61 | (5.80) | 33.97 | |
| TIRX | Tian Ruixiang Holdings | 0.08 | 4 per month | 3.79 | 0.03 | 7.23 | (5.75) | 34.10 | |
| HUIZ | Huize Holding | 0.07 | 6 per month | 6.14 | 0.12 | 9.17 | (11.46) | 1,055 | |
| FANH | FANH Old | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CRVL | CorVel Corp | 1.51 | 10 per month | 0.00 | (0.01) | 3.74 | (4.37) | 12.81 | |
| ERIE | Erie Indemnity | (8.55) | 7 per month | 2.30 | 0.08 | 3.22 | (4.13) | 11.24 | |
| CRD-B | Crawford Company | 0.12 | 11 per month | 0.00 | 0.03 | 4.59 | (3.89) | 18.05 | |
| SLQT | Selectquote | 0.02 | 9 per month | 4.57 | 0.09 | 7.77 | (6.36) | 47.58 | |
| AJG | Arthur J Gallagher | (6.44) | 8 per month | 1.42 | 0.19 | 1.93 | (2.15) | 6.86 | |
| BRO | Brown Brown | 0.64 | 10 per month | 1.13 | 0.20 | 1.75 | (2.17) | 4.81 | |
| CRD-A | Crawford Company | 0.02 | 9 per month | 0.00 | 0.01 | 2.73 | (3.46) | 11.25 | |
| BRP | BRP Old | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
EHealth Additional Predictive Modules
Most predictive techniques to examine EHealth price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EHealth using various technical indicators. When you analyze EHealth 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 EHealth Predictive Indicators
The successful prediction of EHealth 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 eHealth, 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 EHealth based on analysis of EHealth hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to EHealth's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to EHealth's related companies. | 2024 | 2025 (projected) | Dividend Yield | 0.0201 | 0.0138 | Price To Sales Ratio | 0.52 | 0.49 |
Story Coverage note for EHealth
The number of cover stories for EHealth depends on current market conditions and EHealth's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that EHealth 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 EHealth's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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EHealth Short Properties
EHealth's future price predictability will typically decrease when EHealth's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of eHealth often depends not only on the future outlook of the potential EHealth's 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. EHealth's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 29.5 M | |
| Cash And Short Term Investments | 82.2 M |
Complementary Tools for EHealth Stock analysis
When running EHealth's price analysis, check to measure EHealth's 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 EHealth is operating at the current time. Most of EHealth's value examination focuses on studying past and present price action to predict the probability of EHealth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EHealth's price. Additionally, you may evaluate how the addition of EHealth to your portfolios can decrease your overall portfolio volatility.
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