Energy Services Stock Forecast - Simple Exponential Smoothing
| ESOA Stock | USD 6.23 0.16 2.50% |
The Simple Exponential Smoothing forecasted value of Energy Services on the next trading day is expected to be 6.23 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.20. Energy Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Energy Services stock prices and determine the direction of Energy Services's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Energy Services' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Energy Services' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Energy Services' systematic risk associated with finding meaningful patterns of Energy Services fundamentals over time.
Check out Historical Fundamental Analysis of Energy Services to cross-verify your projections. Energy |
Most investors in Energy Services 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 Energy Services' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Energy Services' price structures and extracts relationships that further increase the generated results' accuracy.
Energy Services simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Energy Services are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Energy Services prices get older. Energy Services Simple Exponential Smoothing Price Forecast For the 22nd of May
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Energy Services on the next trading day is expected to be 6.23 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.12, and the sum of the absolute errors of 15.20.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 Services' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Energy Services Stock Forecast Pattern
| Backtest Energy Services | Energy Services Price Prediction | Buy or Sell Advice |
Energy Services Forecasted Value
In the context of forecasting Energy Services' 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 Services' downside and upside margins for the forecasting period are 1.62 and 10.84, respectively. We have considered Energy Services' 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 Services stock data series using in forecasting. Note that when a statistical model is used to represent Energy Services 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 | 116.0089 |
| Bias | Arithmetic mean of the errors | 0.0226 |
| MAD | Mean absolute deviation | 0.2492 |
| MAPE | Mean absolute percentage error | 0.0333 |
| SAE | Sum of the absolute errors | 15.2 |
Predictive Modules for Energy Services
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 Services. 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 Services' 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 Energy Services
For every potential investor in Energy, whether a beginner or expert, Energy Services' 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 Services' price trends.Energy Services 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 Services stock to make a market-neutral strategy. Peer analysis of Energy Services could also be used in its relative valuation, which is a method of valuing Energy Services by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Energy Services 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 Energy Services' 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 Energy Services' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Energy Services Market Strength Events
Market strength indicators help investors to evaluate how Energy Services 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 Services shares will generate the highest return on investment. By undertsting and applying Energy Services stock market strength indicators, traders can identify Energy Services entry and exit signals to maximize returns.
| Accumulation Distribution | 13852.73 | |||
| Daily Balance Of Power | (0.48) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 6.24 | |||
| Day Typical Price | 6.23 | |||
| Price Action Indicator | (0.09) | |||
| Period Momentum Indicator | (0.16) | |||
| Relative Strength Index | 42.03 |
Energy Services Risk Indicators
The analysis of Energy Services' 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 Services' 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 | 3.72 | |||
| Standard Deviation | 5.61 | |||
| Variance | 31.46 |
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.When determining whether Energy Services offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Energy Services' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Energy Services Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Energy Services Stock:Check out Historical Fundamental Analysis of Energy Services to cross-verify your projections. For information on how to trade Energy Stock refer to our How to Trade Energy Stock guide.You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Complementary Tools for Energy Stock analysis
When running Energy Services' price analysis, check to measure Energy Services' 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 Services is operating at the current time. Most of Energy Services' value examination focuses on studying past and present price action to predict the probability of Energy Services' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Services' price. Additionally, you may evaluate how the addition of Energy Services to your portfolios can decrease your overall portfolio volatility.
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Is Energy Services' industry 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 Energy Services. If investors know Energy 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 Energy Services 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 13.454 | Dividend Share 0.06 | Earnings Share 0.6 | Revenue Per Share 21.19 | Quarterly Revenue Growth 0.325 |
The market value of Energy Services is measured differently than its book value, which is the value of Energy that is recorded on the company's balance sheet. Investors also form their own opinion of Energy Services' value that differs from its market value or its book value, called intrinsic value, which is Energy Services' 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 Energy Services' market value can be influenced by many factors that don't directly affect Energy Services' 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 Energy Services' value and its price as these two are different measures arrived at by different means. Investors typically determine if Energy Services is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Energy Services' 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.