Enterprise Products Stock Forecast - Simple Regression
| EPD Stock | USD 28.32 0.08 0.28% |
The Simple Regression forecasted value of Enterprise Products Partners on the next trading day is expected to be 28.31 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 15.05. Enterprise Stock Forecast 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.
Enterprise |
Open Interest Against 2024-06-14 Enterprise Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Enterprise Products' 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 Enterprise Products' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Enterprise Products 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 Enterprise Products' open interest, investors have to compare it to Enterprise Products' 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 Enterprise Products 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 Enterprise. 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.
Most investors in Enterprise Products cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Enterprise Products' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Enterprise Products' price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Enterprise Products price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. Enterprise Products Simple Regression Price Forecast For the 15th of June 2024
Given 90 days horizon, the Simple Regression forecasted value of Enterprise Products Partners on the next trading day is expected to be 28.31 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.10, and the sum of the absolute errors of 15.05.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 27.64 and 28.98, 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 Simple Regression 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 | 117.6802 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2427 |
| MAPE | Mean absolute percentage error | 0.0085 |
| SAE | Sum of the absolute errors | 15.0496 |
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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enterprise Products' 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.
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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Enterprise Products' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Enterprise Products' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Accumulation Distribution | 15617.89 | |||
| Daily Balance Of Power | (0.42) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 28.26 | |||
| Day Typical Price | 28.28 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | (0.08) |
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 | 0.5103 | |||
| Semi Deviation | 0.6813 | |||
| Standard Deviation | 0.6642 | |||
| Variance | 0.4412 | |||
| Downside Variance | 0.5379 | |||
| Semi Variance | 0.4641 | |||
| Expected Short fall | (0.52) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| WMT | Walmart | |
| MIDNX | Matthews India Fund | |
| QCOM | Qualcomm Incorporated |
Additional Information and Resources on Investing in Enterprise Stock
When determining whether Enterprise Products is a strong investment it is important to analyze Enterprise Products' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Enterprise Products' future performance. For an informed investment choice regarding Enterprise Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Enterprise Products to cross-verify your projections. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Is Oil & Gas Storage & Transportation 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 Enterprise Products. If investors know Enterprise will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Enterprise Products 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 0.049 | Dividend Share 2.03 | Earnings Share 2.55 | Revenue Per Share 23.964 | Quarterly Revenue Growth 0.186 |
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. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. 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.
Please note, there is a significant difference between Enterprise Products' value and its price as these two are different measures arrived at by different means. Investors typically determine if Enterprise Products is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Enterprise Products' 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.