Enterprise Products Stock Forward View - Double Exponential Smoothing
| EPD Stock | USD 33.46 0.29 0.87% |
Enterprise Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Enterprise Products stock prices and determine the direction of Enterprise Products Partners's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Enterprise Products' historical fundamentals, such as revenue growth or operating cash flow patterns.
The value of RSI of Enterprise Products' stock price is about 66 suggesting that the stock is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Enterprise, making its price go up or down. Momentum 66
Buy Stretched
Oversold | Overbought |
Using Enterprise Products hype-based prediction, you can estimate the value of Enterprise Products Partners from the perspective of Enterprise Products response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Enterprise Products Partners on the next trading day is expected to be 33.56 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.39. Enterprise Products after-hype prediction price | USD 33.46 |
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.
Enterprise | Build AI portfolio with Enterprise Stock |
Enterprise Products Additional Predictive Modules
Most predictive techniques to examine Enterprise price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Enterprise using various technical indicators. When you analyze Enterprise 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 |
Enterprise Products Double Exponential Smoothing Price Forecast For the 30th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Enterprise Products Partners on the next trading day is expected to be 33.56 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.39.Please note that although there have been many attempts to predict Enterprise 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 Enterprise Products' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Enterprise Products Stock Forecast Pattern
| Backtest Enterprise Products | Enterprise Products Price Prediction | Buy or Sell Advice |
Enterprise Products Forecasted Value
In the context of forecasting Enterprise Products' 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. Enterprise Products' downside and upside margins for the forecasting period are 32.83 and 34.30, respectively. We have considered Enterprise Products' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Enterprise Products stock data series using in forecasting. Note that when a statistical model is used to represent Enterprise Products 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0362 |
| MAD | Mean absolute deviation | 0.193 |
| MAPE | Mean absolute percentage error | 0.006 |
| SAE | Sum of the absolute errors | 11.3857 |
Predictive Modules for Enterprise Products
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enterprise Products. 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.Enterprise Products After-Hype Price Density Analysis
As far as predicting the price of Enterprise Products 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 Enterprise Products 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 Enterprise Products, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Enterprise Products Estimiated After-Hype Price Volatility
In the context of predicting Enterprise Products' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Enterprise Products' historical news coverage. Enterprise Products' after-hype downside and upside margins for the prediction period are 32.72 and 34.20, respectively. We have considered Enterprise Products' 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
Enterprise Products is very steady at this time. Analysis and calculation of next after-hype price of Enterprise Products is based on 3 months time horizon.
Enterprise Products Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Enterprise Products is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Enterprise Products 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 Enterprise Products, 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 |
0.14 | 0.74 | 0.02 | 0.01 | 4 Events / Month | 6 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
33.46 | 33.46 | 0.00 |
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Enterprise Products Hype Timeline
On the 29th of January Enterprise Products is traded for 33.46. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.01. Enterprise is projected 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 projected to be very small, whereas the daily expected return is currently at 0.14%. %. The volatility of related hype on Enterprise Products is about 831.46%, with the expected price after the next announcement by competition of 33.47. About 33.0% of the company shares are held by company insiders. The book value of Enterprise Products was currently reported as 13.5. The company has Price/Earnings To Growth (PEG) ratio of 2.32. Enterprise Products last dividend was issued on the 30th of January 2026. The entity had 2:1 split on the 22nd of August 2014. Considering the 90-day investment horizon the next projected press release will be in about 4 days. Check out Historical Fundamental Analysis of Enterprise Products to cross-verify your projections.Enterprise Products Related Hype Analysis
Having access to credible news sources related to Enterprise Products' direct competition is more important than ever and may enhance your ability to predict Enterprise Products' future price movements. Getting to know how Enterprise Products' 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 Enterprise Products may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ET | Energy Transfer LP | 1.27 | 24 per month | 0.61 | 0.13 | 2.22 | (1.33) | 3.94 | |
| WMB | Williams Companies | 0.57 | 13 per month | 1.24 | 0.13 | 2.35 | (1.80) | 6.27 | |
| CNQ | Canadian Natural Resources | 0.00 | 0 per month | 1.76 | 0.14 | 3.14 | (1.99) | 9.23 | |
| KMI | Kinder Morgan | 0.25 | 7 per month | 0.98 | 0.16 | 2.01 | (1.61) | 6.34 | |
| MPLX | MPLX LP | 0.39 | 9 per month | 0.84 | 0.14 | 1.73 | (1.73) | 4.74 | |
| EQNR | Equinor ASA ADR | (0.17) | 4 per month | 1.53 | 0.03 | 2.86 | (3.01) | 7.91 | |
| OKE | ONEOK Inc | (0.35) | 11 per month | 1.26 | 0.12 | 2.45 | (2.33) | 6.82 | |
| TRP | TC Energy Corp | (0.35) | 6 per month | 0.66 | 0.18 | 2.24 | (1.30) | 5.93 | |
| PBR-A | Petrleo Brasileiro SA | 0.00 | 0 per month | 1.45 | 0.21 | 4.21 | (2.07) | 10.67 | |
| EOG | EOG Resources | (0.72) | 8 per month | 1.28 | 0.03 | 2.49 | (2.27) | 6.52 |
Other Forecasting Options for Enterprise Products
For every potential investor in Enterprise, whether a beginner or expert, Enterprise Products' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Enterprise Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Enterprise. Basic forecasting techniques help filter out the noise by identifying Enterprise Products' price trends.Enterprise Products 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 Enterprise Products stock to make a market-neutral strategy. Peer analysis of Enterprise Products could also be used in its relative valuation, which is a method of valuing Enterprise Products by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Enterprise Products Market Strength Events
Market strength indicators help investors to evaluate how Enterprise Products stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enterprise Products shares will generate the highest return on investment. By undertsting and applying Enterprise Products stock market strength indicators, traders can identify Enterprise Products Partners entry and exit signals to maximize returns.
Enterprise Products Risk Indicators
The analysis of Enterprise Products' 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 Enterprise Products' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enterprise 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 | 0.5503 | |||
| Semi Deviation | 0.6101 | |||
| Standard Deviation | 0.7372 | |||
| Variance | 0.5435 | |||
| Downside Variance | 0.7603 | |||
| Semi Variance | 0.3722 | |||
| Expected Short fall | (0.60) |
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 Enterprise Products
The number of cover stories for Enterprise Products depends on current market conditions and Enterprise Products' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Enterprise Products 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 Enterprise Products' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Enterprise Products Short Properties
Enterprise Products' future price predictability will typically decrease when Enterprise Products' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Enterprise Products Partners often depends not only on the future outlook of the potential Enterprise Products' 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. Enterprise Products' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.2 B | |
| Cash And Short Term Investments | 583 M |
Check out Historical Fundamental Analysis of Enterprise Products to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Will Stock sector continue expanding? Could Enterprise diversify its offerings? Factors like these will boost the valuation of Enterprise Products. Projected growth potential of Enterprise fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Enterprise Products data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
The market value of Enterprise Products is measured differently than its book value, which is the value of Enterprise that is recorded on the company's balance sheet. Investors also form their own opinion of Enterprise Products' value that differs from its market value or its book value, called intrinsic value, which is Enterprise Products' true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because Enterprise Products' market value can be influenced by many factors that don't directly affect Enterprise Products' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Enterprise Products' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Enterprise Products should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Enterprise Products' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.