Excelerate Energy Stock Price Prediction
| EE Stock | USD 32.33 0.30 0.94% |
Oversold Vs Overbought
61
Oversold | Overbought |
Quarterly Earnings Growth (0.13) | EPS Estimate Next Quarter 0.31 | EPS Estimate Current Year 0.8819 | EPS Estimate Next Year 1.3225 | Wall Street Target Price 30.3 |
Using Excelerate Energy hype-based prediction, you can estimate the value of Excelerate Energy from the perspective of Excelerate Energy response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Excelerate Energy using Excelerate Energy's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Excelerate using crowd psychology based on the activity and movement of Excelerate Energy's stock price.
Excelerate Energy Implied Volatility | 0.44 |
Excelerate Energy's implied volatility exposes the market's sentiment of Excelerate Energy stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Excelerate Energy'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 Excelerate Energy stock will not fluctuate a lot when Excelerate Energy's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Excelerate Energy to buy its stock at a price that has no basis in reality. In that case, they are not buying Excelerate 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.
Excelerate Energy after-hype prediction price | USD 32.01 |
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 Excelerate contract
Based on the Rule 16, the options market is currently suggesting that Excelerate Energy will have an average daily up or down price movement of about 0.0275% per day over the life of the 2025-03-21 option contract. With Excelerate Energy trading at USD 32.33, that is roughly USD 0.008891 . If you think that the market is fully incorporating Excelerate Energy's daily price movement you should consider acquiring Excelerate Energy options at the current volatility level of 0.44%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Excelerate |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Excelerate Energy'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.
Excelerate Energy After-Hype Price Prediction Density Analysis
As far as predicting the price of Excelerate Energy 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 Excelerate Energy 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 Excelerate Energy, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Excelerate Energy Estimiated After-Hype Price Volatility
In the context of predicting Excelerate Energy's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Excelerate Energy's historical news coverage. Excelerate Energy's after-hype downside and upside margins for the prediction period are 29.08 and 34.94, respectively. We have considered Excelerate Energy'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
Excelerate Energy is not too volatile at this time. Analysis and calculation of next after-hype price of Excelerate Energy is based on 3 months time horizon.
Excelerate Energy Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Excelerate Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Excelerate Energy 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 Excelerate Energy, 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 |
0.60 | 2.93 | 0.32 | 0.07 | 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 | ||
32.33 | 32.01 | 0.99 |
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Excelerate Energy Hype Timeline
As of January 18, 2025 Excelerate Energy is listed for 32.33. The entity has historical hype elasticity of -0.32, and average elasticity to hype of competition of -0.07. Excelerate is forecasted to decline in value after the next headline, with the price expected to drop to 32.01. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.99%, whereas the daily expected return is currently at 0.6%. The volatility of related hype on Excelerate Energy is about 2456.29%, with the expected price after the next announcement by competition of 32.26. About 98.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.56. Some equities with similar Price to Book (P/B) outperform the market in the long run. Excelerate Energy last dividend was issued on the 20th of November 2024. The entity had 1:10 split on the 10th of January 1996. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 11 days. Check out Excelerate Energy Basic Forecasting Models to cross-verify your projections.Excelerate Energy Related Hype Analysis
Having access to credible news sources related to Excelerate Energy's direct competition is more important than ever and may enhance your ability to predict Excelerate Energy's future price movements. Getting to know how Excelerate Energy'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 Excelerate Energy may potentially react to the hype associated with one of its peers.
Excelerate Energy Additional Predictive Modules
Most predictive techniques to examine Excelerate price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Excelerate using various technical indicators. When you analyze Excelerate 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 | ||
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| Overlap Studies | ||
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| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Excelerate Energy Predictive Indicators
The successful prediction of Excelerate Energy 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 Excelerate Energy, 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 Excelerate Energy based on analysis of Excelerate Energy hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Excelerate Energy's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Excelerate Energy's related companies. | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.006469 | 0.005822 | 0.004211 | Price To Sales Ratio | 0.35 | 0.4 | 0.38 |
Story Coverage note for Excelerate Energy
The number of cover stories for Excelerate Energy depends on current market conditions and Excelerate Energy's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Excelerate Energy 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 Excelerate Energy'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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Excelerate Energy Short Properties
Excelerate Energy's future price predictability will typically decrease when Excelerate Energy's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Excelerate Energy often depends not only on the future outlook of the potential Excelerate Energy'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. Excelerate Energy's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 26.3 M | |
| Cash And Short Term Investments | 555.9 M |
Complementary Tools for Excelerate Stock analysis
When running Excelerate Energy's price analysis, check to measure Excelerate Energy'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 Excelerate Energy is operating at the current time. Most of Excelerate Energy's value examination focuses on studying past and present price action to predict the probability of Excelerate Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Excelerate Energy's price. Additionally, you may evaluate how the addition of Excelerate Energy to your portfolios can decrease your overall portfolio volatility.
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