Clean Energy Technologies Stock Technical Analysis
| CETY Stock | USD 0.58 0.02 3.33% |
As of the 14th of February 2026, Clean Energy shows the mean deviation of 7.7, and Risk Adjusted Performance of (0.01). Clean Energy Technologies technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Clean 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 Clean, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CleanClean 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.Is Heavy Electrical Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Clean Energy. Projected growth potential of Clean fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Clean Energy assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share (1.18) | Revenue Per Share | Quarterly Revenue Growth 2.289 | Return On Assets | Return On Equity |
The market value of Clean Energy Technologies is measured differently than its book value, which is the value of Clean that is recorded on the company's balance sheet. Investors also form their own opinion of Clean Energy's value that differs from its market value or its book value, called intrinsic value, which is Clean Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Clean Energy's market value can be influenced by many factors that don't directly affect Clean Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Clean Energy's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Clean Energy should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Clean Energy's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Clean 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 Clean 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 Clean Energy.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Clean Energy on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Clean Energy Technologies or generate 0.0% return on investment in Clean Energy over 90 days. Clean Energy is related to or competes with Polar Power, Chicago Rivet, ZOOZ Power, Volato, Euro Tech, Multi Ways, and INLIF LIMITED. Clean Energy Technologies, Inc. designs, produces, and markets clean energy products and integrated solutions that focus... More
Clean 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 Clean 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 Clean Energy Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 140.58 | |||
| Value At Risk | (14.81) | |||
| Potential Upside | 10.91 |
Clean Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Energy's standard deviation. In reality, there are many statistical measures that can use Clean Energy historical prices to predict the future Clean Energy's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.75) | |||
| Total Risk Alpha | (1.67) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clean 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.
Clean Energy February 14, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 7.7 | |||
| Coefficient Of Variation | (3,993) | |||
| Standard Deviation | 16.67 | |||
| Variance | 277.93 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.75) | |||
| Total Risk Alpha | (1.67) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 140.58 | |||
| Value At Risk | (14.81) | |||
| Potential Upside | 10.91 | |||
| Skewness | 5.45 | |||
| Kurtosis | 38.36 |
Clean Energy Technologies Backtested Returns
Clean Energy Technologies secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the company had a close to zero % return per unit of standard deviation over the last 3 months. Clean Energy Technologies exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Energy's risk adjusted performance of (0.01), and Mean Deviation of 7.7 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 5.35, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Clean Energy will likely underperform. At this point, Clean Energy Technologies has a negative expected return of -0.1%. Please make sure to confirm Clean Energy's total risk alpha, as well as the relationship between the accumulation distribution and period momentum indicator , to decide if Clean Energy Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.35 |
Below average predictability
Clean Energy Technologies has below average predictability. Overlapping area represents the amount of predictability between Clean Energy time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Clean Energy Technologies price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Clean Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Clean 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.
Clean Energy Technologies Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Clean Energy Technologies across different markets.
About Clean 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 Clean Energy Technologies 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 Clean Energy Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Clean Energy Technologies price pattern first instead of the macroeconomic environment surrounding Clean Energy Technologies. By analyzing Clean 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 Clean 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 Clean Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Dividend Yield | 0.001798 | 0.001708 | Price To Sales Ratio | 10.15 | 13.7 |
Clean Energy February 14, 2026 Technical Indicators
Most technical analysis of Clean 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 Clean from various momentum indicators to cycle indicators. When you analyze Clean 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 7.7 | |||
| Coefficient Of Variation | (3,993) | |||
| Standard Deviation | 16.67 | |||
| Variance | 277.93 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.75) | |||
| Total Risk Alpha | (1.67) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 140.58 | |||
| Value At Risk | (14.81) | |||
| Potential Upside | 10.91 | |||
| Skewness | 5.45 | |||
| Kurtosis | 38.36 |
Clean Energy February 14, 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 Clean 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 | 3,781 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 0.58 | ||
| Day Typical Price | 0.58 | ||
| Price Action Indicator | (0.01) |
Additional Tools for Clean Stock Analysis
When running Clean Energy's price analysis, check to measure Clean 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 Clean Energy is operating at the current time. Most of Clean Energy's value examination focuses on studying past and present price action to predict the probability of Clean 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 Clean Energy's price. Additionally, you may evaluate how the addition of Clean Energy to your portfolios can decrease your overall portfolio volatility.