Clean Energy Stock Forecast - Relative Strength Index
| CLNE Stock | USD 2.23 0.06 2.62% |
Clean Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Clean Energy stock prices and determine the direction of Clean Energy Fuels's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Clean Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the relative strength momentum indicator of Clean Energy's share price is approaching 45 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Clean Energy, making its price go up or down. Momentum 45
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 5.12 | EPS Estimate Next Quarter (0.07) | EPS Estimate Current Year (0.03) | EPS Estimate Next Year (0.04) | Wall Street Target Price 4.7071 |
Using Clean Energy hype-based prediction, you can estimate the value of Clean Energy Fuels from the perspective of Clean Energy response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Clean Energy using Clean Energy's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Clean using crowd psychology based on the activity and movement of Clean Energy's stock price.
Clean Energy Short Interest
A significant increase or decrease in Clean Energy's short interest from the previous month could be a good indicator of investor sentiment towards Clean. Short interest can provide insight into the potential direction of Clean Energy stock and how bullish or bearish investors feel about the market overall.
200 Day MA 2.1944 | Short Percent 0.0395 | Short Ratio 5.98 | Shares Short Prior Month 6 M | 50 Day MA 2.209 |
Clean Relative Strength Index
Clean Energy Fuels Hype to Price Pattern
Investor biases related to Clean Energy's public news can be used to forecast risks associated with an investment in Clean. The trend in average sentiment can be used to explain how an investor holding Clean can time the market purely based on public headlines and social activities around Clean Energy Fuels. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Clean Energy's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Clean Energy.
Clean Energy Implied Volatility | 1.02 |
Clean Energy's implied volatility exposes the market's sentiment of Clean Energy Fuels stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Clean 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 Clean Energy stock will not fluctuate a lot when Clean Energy's options are near their expiration.
Clean Energy after-hype prediction price | USD 2.23 |
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 Historical Fundamental Analysis of Clean Energy to cross-verify your projections. Prediction based on Rule 16 of the current Clean contract
Based on the Rule 16, the options market is currently suggesting that Clean Energy Fuels will have an average daily up or down price movement of about 0.0638% per day over the life of the 2026-03-20 option contract. With Clean Energy trading at USD 2.23, that is roughly USD 0.001422 . If you think that the market is fully incorporating Clean Energy's daily price movement you should consider acquiring Clean Energy Fuels options at the current volatility level of 1.02%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Clean Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Clean Energy's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Clean Energy's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Clean Energy stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Clean Energy's open interest, investors have to compare it to Clean Energy's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Clean Energy is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Clean. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Clean Energy Additional Predictive Modules
Most predictive techniques to examine Clean price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Clean using various technical indicators. When you analyze Clean 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 |
| Previous Relative Strength Index | Relative Strength Index | Trend |
| 45.22 | 45.22 |
| Check Clean Energy Volatility | Backtest Clean Energy | Information Ratio |
Clean Energy Trading Date Momentum
| On January 28 2026 Clean Energy Fuels was traded for 2.23 at the closing time. The top price for the day was 2.32 and the lowest listed price was 2.22 . The trading volume for the day was 589.1 K. The trading history from January 28, 2026 did not affect price variability. The overall trading delta against the current closing price is 3.14% . |
| Compare Clean Energy to competition |
Other Forecasting Options for Clean Energy
For every potential investor in Clean, whether a beginner or expert, Clean Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Clean Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Clean. Basic forecasting techniques help filter out the noise by identifying Clean Energy's price trends.Clean Energy Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Clean Energy stock to make a market-neutral strategy. Peer analysis of Clean Energy could also be used in its relative valuation, which is a method of valuing Clean Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Clean Energy Market Strength Events
Market strength indicators help investors to evaluate how Clean Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Clean Energy shares will generate the highest return on investment. By undertsting and applying Clean Energy stock market strength indicators, traders can identify Clean Energy Fuels entry and exit signals to maximize returns.
| Accumulation Distribution | 25390.91 | |||
| Daily Balance Of Power | (0.60) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 2.27 | |||
| Day Typical Price | 2.26 | |||
| Price Action Indicator | (0.07) | |||
| Period Momentum Indicator | (0.06) | |||
| Relative Strength Index | 45.22 |
Clean Energy Risk Indicators
The analysis of Clean Energy's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Clean Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting clean stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.2 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.69 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Clean Energy
The number of cover stories for Clean Energy depends on current market conditions and Clean 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 Clean 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 Clean 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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Clean Energy Short Properties
Clean Energy's future price predictability will typically decrease when Clean Energy's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Clean Energy Fuels often depends not only on the future outlook of the potential Clean 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. Clean Energy's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 223.3 M | |
| Cash And Short Term Investments | 217.5 M |
Check out Historical Fundamental Analysis of Clean Energy to cross-verify your projections. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Will Oil & Gas Refining & Marketing sector continue expanding? Could Clean diversify its offerings? Factors like these will boost the valuation of Clean Energy. Projected growth potential of Clean fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Clean Energy data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 5.12 | Earnings Share (0.94) | Revenue Per Share | Quarterly Revenue Growth 0.012 | Return On Assets |
Understanding Clean Energy Fuels requires distinguishing between market price and book value, where the latter reflects Clean's accounting equity. The concept of intrinsic value—what Clean Energy's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Clean Energy's price substantially above or below its fundamental 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. In contrast, Clean Energy's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.