Energy Recovery Stock Forecast - Polynomial Regression
| ERII Stock | USD 13.72 0.23 1.70% |
The Polynomial Regression forecasted value of Energy Recovery on the next trading day is expected to be 14.51 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.73. Energy Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Energy Recovery's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 3rd of January 2026 the relative strength index (rsi) of Energy Recovery's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Energy Recovery hype-based prediction, you can estimate the value of Energy Recovery from the perspective of Energy Recovery response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Energy Recovery on the next trading day is expected to be 14.51 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.73. Energy Recovery after-hype prediction price | USD 13.74 |
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 Recovery to cross-verify your projections. Energy Recovery 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 Recovery Polynomial Regression Price Forecast For the 4th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Energy Recovery on the next trading day is expected to be 14.51 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.71, and the sum of the absolute errors of 43.73.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 Recovery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Energy Recovery Stock Forecast Pattern
| Backtest Energy Recovery | Energy Recovery Price Prediction | Buy or Sell Advice |
Energy Recovery Forecasted Value
In the context of forecasting Energy Recovery'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 Recovery's downside and upside margins for the forecasting period are 11.72 and 17.29, respectively. We have considered Energy Recovery'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Energy Recovery stock data series using in forecasting. Note that when a statistical model is used to represent Energy Recovery 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 | 117.7622 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7169 |
| MAPE | Mean absolute percentage error | 0.0474 |
| SAE | Sum of the absolute errors | 43.7328 |
Predictive Modules for Energy Recovery
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 Recovery. 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.Other Forecasting Options for Energy Recovery
For every potential investor in Energy, whether a beginner or expert, Energy Recovery'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 Recovery's price trends.Energy Recovery 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 Recovery stock to make a market-neutral strategy. Peer analysis of Energy Recovery could also be used in its relative valuation, which is a method of valuing Energy Recovery by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Energy Recovery 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 Recovery's 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 Recovery's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Energy Recovery Market Strength Events
Market strength indicators help investors to evaluate how Energy Recovery 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 Recovery shares will generate the highest return on investment. By undertsting and applying Energy Recovery stock market strength indicators, traders can identify Energy Recovery entry and exit signals to maximize returns.
Energy Recovery Risk Indicators
The analysis of Energy Recovery'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 Recovery'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 | 1.68 | |||
| Standard Deviation | 2.79 | |||
| Variance | 7.76 |
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.
Currently Active Assets on Macroaxis
When determining whether Energy Recovery offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Energy Recovery's 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 Recovery Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Energy Recovery Stock:Check out Historical Fundamental Analysis of Energy Recovery to cross-verify your projections. For more detail on how to invest in Energy Stock please use our How to Invest in Energy Recovery guide.You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Is Industrial Machinery & Supplies & Components 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 Energy Recovery. 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 Recovery listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Energy Recovery 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 Recovery's value that differs from its market value or its book value, called intrinsic value, which is Energy Recovery's 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 Recovery's market value can be influenced by many factors that don't directly affect Energy Recovery's 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 Recovery's value and its price as these two are different measures arrived at by different means. Investors typically determine if Energy Recovery is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Energy Recovery's 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.