Energy Fuels Stock Technical Analysis
| UUUU Stock | USD 22.44 2.44 9.81% |
As of the 31st of January, Energy Fuels shows the Mean Deviation of 4.65, downside deviation of 6.16, and Coefficient Of Variation of 1470.24. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Energy Fuels, as well as the relationship between them.
Energy Fuels Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Energy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EnergyEnergy Fuels' 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.Energy Fuels Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 25.56 | Strong Buy | 7 | Odds |
Most Energy 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 Energy stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Energy Fuels, talking to its executives and customers, or listening to Energy conference calls.
Is there potential for Oil, Gas & Consumable Fuels market expansion? Will Energy introduce new products? Factors like these will boost the valuation of Energy Fuels. If investors know Energy will grow in the future, the company's valuation will be higher. Understanding fair value requires weighing current performance against future potential. All the valuation information about Energy Fuels listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.97) | Earnings Share (0.48) | Revenue Per Share | Quarterly Revenue Growth 3.376 | Return On Assets |
Energy Fuels's market price often diverges from its book value, the accounting figure shown on Energy's balance sheet. Smart investors calculate Energy Fuels' intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Energy Fuels' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Energy Fuels' value and its price as these two are different measures arrived at by different means. Investors typically determine if Energy Fuels is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Energy Fuels' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Energy Fuels '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 Energy Fuels' 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 Energy Fuels.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Energy Fuels on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Energy Fuels or generate 0.0% return on investment in Energy Fuels over 90 days. Energy Fuels is related to or competes with NexGen Energy, PBF Energy, Valaris, Valvoline, Denison Mines, Magnolia Oil, and California Resources. Energy Fuels Inc., together with its subsidiaries, engages in the extraction, recovery, exploration, and sale of convent... More
Energy Fuels 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 Energy Fuels' 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 Energy Fuels upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.16 | |||
| Information Ratio | 0.0578 | |||
| Maximum Drawdown | 23.23 | |||
| Value At Risk | (10.25) | |||
| Potential Upside | 9.31 |
Energy Fuels Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Energy Fuels' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Energy Fuels' standard deviation. In reality, there are many statistical measures that can use Energy Fuels historical prices to predict the future Energy Fuels' volatility.| Risk Adjusted Performance | 0.0582 | |||
| Jensen Alpha | 0.3466 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0566 | |||
| Treynor Ratio | 0.3859 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Energy Fuels' 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.
Energy Fuels January 31, 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 | 0.0582 | |||
| Market Risk Adjusted Performance | 0.3959 | |||
| Mean Deviation | 4.65 | |||
| Semi Deviation | 5.64 | |||
| Downside Deviation | 6.16 | |||
| Coefficient Of Variation | 1470.24 | |||
| Standard Deviation | 6.02 | |||
| Variance | 36.29 | |||
| Information Ratio | 0.0578 | |||
| Jensen Alpha | 0.3466 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0566 | |||
| Treynor Ratio | 0.3859 | |||
| Maximum Drawdown | 23.23 | |||
| Value At Risk | (10.25) | |||
| Potential Upside | 9.31 | |||
| Downside Variance | 37.92 | |||
| Semi Variance | 31.76 | |||
| Expected Short fall | (4.65) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2087 |
Energy Fuels Backtested Returns
Energy Fuels appears to be somewhat reliable, given 3 months investment horizon. Energy Fuels secures Sharpe Ratio (or Efficiency) of 0.0937, which denotes the company had a 0.0937 % return per unit of risk over the last 3 months. By reviewing Energy Fuels' technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please utilize Energy Fuels' Mean Deviation of 4.65, downside deviation of 6.16, and Coefficient Of Variation of 1470.24 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Energy Fuels holds a performance score of 7. The firm shows a Beta (market volatility) of 1.04, which means a somewhat significant risk relative to the market. Energy Fuels returns are very sensitive to returns on the market. As the market goes up or down, Energy Fuels is expected to follow. Please check Energy Fuels' jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Energy Fuels' price patterns will revert.
Auto-correlation | -0.31 |
Poor reverse predictability
Energy Fuels has poor reverse predictability. Overlapping area represents the amount of predictability between Energy Fuels time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Energy Fuels price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Energy Fuels price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 16.26 |
Energy Fuels 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.
Energy Fuels Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Energy Fuels volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Energy Fuels 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 Energy Fuels 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 Energy Fuels based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Energy Fuels price pattern first instead of the macroeconomic environment surrounding Energy Fuels. By analyzing Energy Fuels'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 Energy Fuels'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 Energy Fuels specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Payables Turnover | 21.99 | 8.14 | 7.33 | 7.17 | Days Of Inventory On Hand | 641.24 | 397.2 | 357.48 | 375.12 |
Energy Fuels January 31, 2026 Technical Indicators
Most technical analysis of Energy 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 | 0.0582 | |||
| Market Risk Adjusted Performance | 0.3959 | |||
| Mean Deviation | 4.65 | |||
| Semi Deviation | 5.64 | |||
| Downside Deviation | 6.16 | |||
| Coefficient Of Variation | 1470.24 | |||
| Standard Deviation | 6.02 | |||
| Variance | 36.29 | |||
| Information Ratio | 0.0578 | |||
| Jensen Alpha | 0.3466 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0566 | |||
| Treynor Ratio | 0.3859 | |||
| Maximum Drawdown | 23.23 | |||
| Value At Risk | (10.25) | |||
| Potential Upside | 9.31 | |||
| Downside Variance | 37.92 | |||
| Semi Variance | 31.76 | |||
| Expected Short fall | (4.65) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2087 |
Energy Fuels January 31, 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 Energy 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 | 3,171,290 | ||
| Daily Balance Of Power | (0.67) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 23.37 | ||
| Day Typical Price | 23.06 | ||
| Price Action Indicator | (2.15) |
Additional Tools for Energy Stock Analysis
When running Energy Fuels' price analysis, check to measure Energy Fuels' 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 Energy Fuels is operating at the current time. Most of Energy Fuels' value examination focuses on studying past and present price action to predict the probability of Energy Fuels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Fuels' price. Additionally, you may evaluate how the addition of Energy Fuels to your portfolios can decrease your overall portfolio volatility.