Energy Transfer Stock Forecast - Simple Exponential Smoothing
| ET Stock | USD 17.96 0.03 0.17% |
Energy Stock outlook is based on your current time horizon.
The value of relative strength index of Energy Transfer's stock price is slightly above 65 suggesting that the stock is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Energy, making its price go up or down. Momentum 65
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.13) | EPS Estimate Next Quarter 0.3617 | EPS Estimate Current Year 1.3273 | EPS Estimate Next Year 1.5264 | Wall Street Target Price 21.4514 |
Using Energy Transfer hype-based prediction, you can estimate the value of Energy Transfer LP from the perspective of Energy Transfer response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Energy Transfer using Energy Transfer's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Energy using crowd psychology based on the activity and movement of Energy Transfer's stock price.
Energy Transfer Short Interest
An investor who is long Energy Transfer may also wish to track short interest. As short interest increases, investors should be becoming more worried about Energy Transfer and may potentially protect profits, hedge Energy Transfer with its derivative instruments, or be ready for some potential downside.
200 Day MA 17.2079 | Short Percent 0.0104 | Short Ratio 2.37 | Shares Short Prior Month 29.8 M | 50 Day MA 16.7762 |
Energy Relative Strength Index
The Simple Exponential Smoothing forecasted value of Energy Transfer LP on the next trading day is expected to be 17.96 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.14.Energy Transfer LP Hype to Price Pattern
Investor biases related to Energy Transfer's public news can be used to forecast risks associated with an investment in Energy. The trend in average sentiment can be used to explain how an investor holding Energy can time the market purely based on public headlines and social activities around Energy Transfer LP. 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 Energy Transfer's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Energy Transfer.
Energy Transfer Implied Volatility | 0.45 |
Energy Transfer's implied volatility exposes the market's sentiment of Energy Transfer LP stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Energy Transfer'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 Energy Transfer stock will not fluctuate a lot when Energy Transfer's options are near their expiration.
The Simple Exponential Smoothing forecasted value of Energy Transfer LP on the next trading day is expected to be 17.96 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.14.
Energy Transfer after-hype prediction price | USD 17.96 |
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 Energy Transfer to cross-verify your projections. Prediction based on Rule 16 of the current Energy contract
Based on the Rule 16, the options market is currently suggesting that Energy Transfer LP will have an average daily up or down price movement of about 0.0281% per day over the life of the 2026-04-17 option contract. With Energy Transfer trading at USD 17.96, that is roughly USD 0.005051 . If you think that the market is fully incorporating Energy Transfer's daily price movement you should consider acquiring Energy Transfer LP options at the current volatility level of 0.45%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Energy Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Energy Transfer'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 Energy Transfer's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Energy Transfer 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 Energy Transfer's open interest, investors have to compare it to Energy Transfer'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 Energy Transfer 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 Energy. 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.
Energy Transfer Additional Predictive Modules
Most predictive techniques to examine Energy price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Energy using various technical indicators. When you analyze Energy 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 |
Energy Transfer Simple Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Energy Transfer LP on the next trading day is expected to be 17.96 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.14.Please note that although there have been many attempts to predict Energy Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Energy Transfer's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Energy Transfer Stock Forecast Pattern
| Backtest Energy Transfer | Energy Transfer Price Prediction | Buy or Sell Advice |
Energy Transfer Forecasted Value
In the context of forecasting Energy Transfer's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Energy Transfer's downside and upside margins for the forecasting period are 16.94 and 18.98, respectively. We have considered Energy Transfer's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Energy Transfer stock data series using in forecasting. Note that when a statistical model is used to represent Energy Transfer stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 112.7588 |
| Bias | Arithmetic mean of the errors | -0.0227 |
| MAD | Mean absolute deviation | 0.1357 |
| MAPE | Mean absolute percentage error | 0.0081 |
| SAE | Sum of the absolute errors | 8.14 |
Predictive Modules for Energy Transfer
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Energy Transfer LP. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Energy Transfer'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.
Energy Transfer After-Hype Price Density Analysis
As far as predicting the price of Energy Transfer 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 Energy Transfer 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 Energy Transfer, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Energy Transfer Estimiated After-Hype Price Volatility
In the context of predicting Energy Transfer's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Energy Transfer's historical news coverage. Energy Transfer's after-hype downside and upside margins for the prediction period are 16.94 and 18.98, respectively. We have considered Energy Transfer'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Energy Transfer is very steady at this time. Analysis and calculation of next after-hype price of Energy Transfer LP is based on 3 months time horizon.
Energy Transfer Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Energy Transfer is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Energy Transfer 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 Energy Transfer, 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 |
0.15 | 1.02 | 0.00 | 0.05 | 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 | |
17.96 | 17.96 | 0.00 |
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Energy Transfer Hype Timeline
As of January 28, 2026 Energy Transfer LP is listed for 17.96. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.05. Energy is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at 0.15%. %. The volatility of related hype on Energy Transfer is about 300.88%, with the expected price after the next announcement by competition of 18.01. About 31.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.78. Some equities with similar Price to Book (P/B) outperform the market in the long run. Energy Transfer LP has Price/Earnings To Growth (PEG) ratio of 0.95. The entity last dividend was issued on the 7th of November 2025. The firm had 2:1 split on the 27th of July 2015. Allowing for the 90-day total investment horizon the next anticipated press release will be in about 9 days. Check out Historical Fundamental Analysis of Energy Transfer to cross-verify your projections.Energy Transfer Related Hype Analysis
Having access to credible news sources related to Energy Transfer's direct competition is more important than ever and may enhance your ability to predict Energy Transfer's future price movements. Getting to know how Energy Transfer'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 Energy Transfer may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| KMI | Kinder Morgan | (0.17) | 2 per month | 1.34 | 0.03 | 2.01 | (1.73) | 6.34 | |
| MPLX | MPLX LP | 0.18 | 4 per month | 0.87 | 0.10 | 1.73 | (1.73) | 4.74 | |
| EPD | Enterprise Products Partners | (0.17) | 8 per month | 0.61 | 0.07 | 1.49 | (1.34) | 3.38 | |
| TRP | TC Energy Corp | 0.52 | 8 per month | 0.77 | 0.09 | 2.24 | (1.48) | 5.93 | |
| EOG | EOG Resources | 2.09 | 8 per month | 1.35 | (0.01) | 2.49 | (2.27) | 6.52 | |
| OKE | ONEOK Inc | 0.18 | 15 per month | 1.34 | 0.08 | 2.45 | (2.33) | 6.82 | |
| E | Eni SpA ADR | 0.22 | 8 per month | 1.09 | 0.13 | 2.17 | (2.26) | 6.47 | |
| EQNR | Equinor ASA ADR | 0.18 | 6 per month | 1.44 | 0.06 | 3.34 | (3.01) | 8.31 | |
| SLB | Schlumberger NV | 0.18 | 10 per month | 1.26 | 0.24 | 4.46 | (2.89) | 11.84 | |
| LNG | Cheniere Energy | 0.18 | 8 per month | 0.00 | (0.17) | 1.76 | (2.08) | 4.88 |
Other Forecasting Options for Energy Transfer
For every potential investor in Energy, whether a beginner or expert, Energy Transfer's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Energy Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Energy. Basic forecasting techniques help filter out the noise by identifying Energy Transfer's price trends.Energy Transfer 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 Energy Transfer stock to make a market-neutral strategy. Peer analysis of Energy Transfer could also be used in its relative valuation, which is a method of valuing Energy Transfer by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Energy Transfer Market Strength Events
Market strength indicators help investors to evaluate how Energy Transfer stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Energy Transfer shares will generate the highest return on investment. By undertsting and applying Energy Transfer stock market strength indicators, traders can identify Energy Transfer LP entry and exit signals to maximize returns.
Energy Transfer Risk Indicators
The analysis of Energy Transfer'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 Energy Transfer's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting energy 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 | 0.804 | |||
| Semi Deviation | 0.6858 | |||
| Standard Deviation | 1.01 | |||
| Variance | 1.01 | |||
| Downside Variance | 0.7406 | |||
| Semi Variance | 0.4703 | |||
| Expected Short fall | (0.97) |
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 Energy Transfer
The number of cover stories for Energy Transfer depends on current market conditions and Energy Transfer's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Energy Transfer 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 Energy Transfer'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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Energy Transfer Short Properties
Energy Transfer's future price predictability will typically decrease when Energy Transfer's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Energy Transfer LP often depends not only on the future outlook of the potential Energy Transfer'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. Energy Transfer's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.4 B | |
| Cash And Short Term Investments | 312 M |
Additional Tools for Energy Stock Analysis
When running Energy Transfer's price analysis, check to measure Energy Transfer'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 Energy Transfer is operating at the current time. Most of Energy Transfer's value examination focuses on studying past and present price action to predict the probability of Energy Transfer's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Transfer's price. Additionally, you may evaluate how the addition of Energy Transfer to your portfolios can decrease your overall portfolio volatility.