Epsilon Energy Stock Price Patterns
| EPSN Stock | USD 4.76 0.00 0.00% |
Momentum 51
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 1.92 | EPS Estimate Next Quarter 0.04 | EPS Estimate Current Year 0.34 | Wall Street Target Price 8.4 | EPS Estimate Current Quarter 0.03 |
Using Epsilon Energy hype-based prediction, you can estimate the value of Epsilon Energy from the perspective of Epsilon Energy response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Epsilon Energy using Epsilon Energy's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Epsilon using crowd psychology based on the activity and movement of Epsilon Energy's stock price.
Epsilon Energy Implied Volatility | 0.84 |
Epsilon Energy's implied volatility exposes the market's sentiment of Epsilon Energy stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Epsilon 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 Epsilon Energy stock will not fluctuate a lot when Epsilon Energy's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Epsilon Energy to buy its stock at a price that has no basis in reality. In that case, they are not buying Epsilon 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.
Epsilon Energy after-hype prediction price | USD 4.77 |
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.
Check out Epsilon Energy Basic Forecasting Models to cross-verify your projections. Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Epsilon 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.
Epsilon Energy After-Hype Price Density Analysis
As far as predicting the price of Epsilon 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 Epsilon 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 Epsilon Energy, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Epsilon Energy Estimiated After-Hype Price Volatility
In the context of predicting Epsilon Energy's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Epsilon Energy's historical news coverage. Epsilon Energy's after-hype downside and upside margins for the prediction period are 2.41 and 7.13, respectively. We have considered Epsilon 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Epsilon Energy is somewhat reliable at this time. Analysis and calculation of next after-hype price of Epsilon Energy is based on 3 months time horizon.
Epsilon Energy Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Epsilon Energy is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Epsilon 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 Epsilon 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 |
0.10 | 2.36 | 0.01 | 0.01 | 9 Events / Month | 6 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
4.76 | 4.77 | 0.21 |
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Epsilon Energy Hype Timeline
Epsilon Energy is currently traded for 4.76. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.01. Epsilon is projected to increase in value after the next headline, with the price projected to jump to 4.77 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.21%, whereas the daily expected return is currently at 0.1%. The volatility of related hype on Epsilon Energy is about 4290.91%, with the expected price after the next announcement by competition of 4.75. The company reported the previous year's revenue of 31.52 M. Net Income was 1.93 M with profit before overhead, payroll, taxes, and interest of 34.04 M. Given the investment horizon of 90 days the next projected press release will be in about 9 days. Check out Epsilon Energy Basic Forecasting Models to cross-verify your projections.Epsilon Energy Related Hype Analysis
Having access to credible news sources related to Epsilon Energy's direct competition is more important than ever and may enhance your ability to predict Epsilon Energy's future price movements. Getting to know how Epsilon 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 Epsilon Energy may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EP | Empire Petroleum Corp | 0.17 | 9 per month | 0.00 | (0.04) | 9.18 | (7.74) | 28.19 | |
| IMPP | Imperial Petroleum | 0.02 | 9 per month | 0.00 | (0.15) | 4.45 | (6.94) | 33.83 | |
| NCSM | NCS Multistage Holdings | (0.24) | 5 per month | 2.36 | 0.01 | 4.72 | (4.03) | 11.09 | |
| GTE | Gran Tierra Energy | 0.07 | 9 per month | 4.61 | 0.08 | 6.71 | (7.48) | 23.69 | |
| MMLP | Martin Midstream Partners | (0.1) | 8 per month | 2.82 | 0.03 | 6.25 | (4.83) | 19.26 | |
| ANNA | AleAnna Class A | 0.15 | 8 per month | 0.00 | (0.08) | 7.00 | (4.88) | 20.01 | |
| LSE | Leishen Energy Holding | (0.16) | 8 per month | 0.00 | (0.07) | 6.60 | (7.58) | 22.05 | |
| SND | Smart Sand | (0.35) | 7 per month | 4.15 | 0.26 | 10.57 | (5.83) | 36.57 | |
| SLNG | Stabilis Solutions | (0.04) | 9 per month | 2.57 | 0.07 | 5.67 | (4.40) | 22.03 | |
| KGEI | Kolibri Global Energy | (0.07) | 8 per month | 0.00 | (0.08) | 4.09 | (4.46) | 11.70 |
Epsilon Energy Additional Predictive Modules
Most predictive techniques to examine Epsilon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Epsilon using various technical indicators. When you analyze Epsilon 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 Epsilon Energy Predictive Indicators
The successful prediction of Epsilon 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 Epsilon 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 Epsilon Energy based on analysis of Epsilon Energy hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Epsilon Energy's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Epsilon Energy's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.049 | 0.0403 | 0.0363 | 0.0339 | Price To Sales Ratio | 3.72 | 4.32 | 4.97 | 4.72 |
Pair Trading with Epsilon Energy
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Epsilon Energy position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Epsilon Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Epsilon Stock
Moving against Epsilon Stock
The ability to find closely correlated positions to Epsilon Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Epsilon Energy when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Epsilon Energy - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Epsilon Energy to buy it.
The correlation of Epsilon Energy is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Epsilon Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Epsilon Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Epsilon Energy can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Epsilon Energy Basic Forecasting Models to cross-verify your projections. To learn how to invest in Epsilon Stock, please use our How to Invest in Epsilon Energy guide.You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Will Oil & Gas Exploration & Production sector continue expanding? Could Epsilon diversify its offerings? Factors like these will boost the valuation of Epsilon Energy. Projected growth potential of Epsilon fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Epsilon Energy data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 1.92 | Dividend Share 0.25 | Earnings Share 0.27 | Revenue Per Share | Quarterly Revenue Growth 0.232 |
Investors evaluate Epsilon Energy using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Epsilon Energy's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Epsilon Energy's market price to deviate significantly from intrinsic value.
It's important to distinguish between Epsilon Energy's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Epsilon Energy should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Epsilon Energy's market price signifies the transaction level at which participants voluntarily complete trades.