Epsilon Energy Stock Technical Analysis
| EPSN Stock | USD 4.89 0.02 0.41% |
As of the 26th of February, Epsilon Energy shows the Coefficient Of Variation of 3646.51, downside deviation of 2.07, and Mean Deviation of 1.92. Epsilon Energy technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Epsilon Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Epsilon, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EpsilonEpsilon Energy's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Epsilon Energy Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 8.4 | Buy | 1 | Odds |
Most Epsilon analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Epsilon stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Epsilon Energy, talking to its executives and customers, or listening to Epsilon conference calls.
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.
Epsilon Energy 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Epsilon Energy's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Epsilon Energy.
| 11/28/2025 |
| 02/26/2026 |
If you would invest 0.00 in Epsilon Energy on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding Epsilon Energy or generate 0.0% return on investment in Epsilon Energy over 90 days. Epsilon Energy is related to or competes with Empire Petroleum, Imperial Petroleum, NCS Multistage, Gran Tierra, Martin Midstream, AleAnna, and Leishen Energy. Epsilon Energy Ltd., a natural gas and oil company, engages in the acquisition, development, gathering, and production o... More
Epsilon Energy Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Epsilon Energy's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Epsilon Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.07 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 12.0 | |||
| Value At Risk | (3.07) | |||
| Potential Upside | 4.08 |
Epsilon Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Epsilon Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Epsilon Energy's standard deviation. In reality, there are many statistical measures that can use Epsilon Energy historical prices to predict the future Epsilon Energy's volatility.| Risk Adjusted Performance | 0.0279 | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.35) |
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 February 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0279 | |||
| Market Risk Adjusted Performance | (0.34) | |||
| Mean Deviation | 1.92 | |||
| Semi Deviation | 2.0 | |||
| Downside Deviation | 2.07 | |||
| Coefficient Of Variation | 3646.51 | |||
| Standard Deviation | 2.37 | |||
| Variance | 5.64 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.35) | |||
| Maximum Drawdown | 12.0 | |||
| Value At Risk | (3.07) | |||
| Potential Upside | 4.08 | |||
| Downside Variance | 4.3 | |||
| Semi Variance | 3.99 | |||
| Expected Short fall | (2.18) | |||
| Skewness | 0.7092 | |||
| Kurtosis | 0.5871 |
Epsilon Energy Backtested Returns
As of now, Epsilon Stock is somewhat reliable. Epsilon Energy secures Sharpe Ratio (or Efficiency) of 0.0317, which denotes the company had a 0.0317 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Epsilon Energy, which you can use to evaluate the volatility of the firm. Please confirm Epsilon Energy's Coefficient Of Variation of 3646.51, downside deviation of 2.07, and Mean Deviation of 1.92 to check if the risk estimate we provide is consistent with the expected return of 0.0776%. Epsilon Energy has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.16, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Epsilon Energy are expected to decrease at a much lower rate. During the bear market, Epsilon Energy is likely to outperform the market. Epsilon Energy right now shows a risk of 2.45%. Please confirm Epsilon Energy skewness, and the relationship between the value at risk and day median price , to decide if Epsilon Energy will be following its price patterns.
Auto-correlation | -0.5 |
Modest reverse predictability
Epsilon Energy has modest reverse predictability. Overlapping area represents the amount of predictability between Epsilon Energy time series from 28th of November 2025 to 12th of January 2026 and 12th of January 2026 to 26th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Epsilon Energy price movement. The serial correlation of -0.5 indicates that about 50.0% of current Epsilon Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Epsilon Energy technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Epsilon Energy Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Epsilon Energy across different markets.
About Epsilon Energy Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Epsilon Energy on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Epsilon Energy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Epsilon Energy price pattern first instead of the macroeconomic environment surrounding Epsilon Energy. By analyzing Epsilon Energy's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Epsilon Energy's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Epsilon Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 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 |
Epsilon Energy February 26, 2026 Technical Indicators
Most technical analysis of Epsilon help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Epsilon from various momentum indicators to cycle indicators. When you analyze Epsilon charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0279 | |||
| Market Risk Adjusted Performance | (0.34) | |||
| Mean Deviation | 1.92 | |||
| Semi Deviation | 2.0 | |||
| Downside Deviation | 2.07 | |||
| Coefficient Of Variation | 3646.51 | |||
| Standard Deviation | 2.37 | |||
| Variance | 5.64 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.35) | |||
| Maximum Drawdown | 12.0 | |||
| Value At Risk | (3.07) | |||
| Potential Upside | 4.08 | |||
| Downside Variance | 4.3 | |||
| Semi Variance | 3.99 | |||
| Expected Short fall | (2.18) | |||
| Skewness | 0.7092 | |||
| Kurtosis | 0.5871 |
Epsilon Energy February 26, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Epsilon stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.03 | ||
| Daily Balance Of Power | (0.14) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 4.91 | ||
| Day Typical Price | 4.90 | ||
| Price Action Indicator | (0.03) | ||
| Market Facilitation Index | 0.14 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Epsilon Energy. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. To learn how to invest in Epsilon Stock, please use our How to Invest in Epsilon Energy guide.You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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.