Enersys Stock Forecast - Simple Exponential Smoothing

ENS Stock  USD 173.41  2.70  1.53%   
Enersys Stock outlook is based on your current time horizon.
The relative strength index (RSI) of Enersys' share price is above 70 at this time suggesting that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Enersys, making its price go up or down.

Momentum 71

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Enersys' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Enersys and does not consider all of the tangible or intangible factors available from Enersys' fundamental data. We analyze noise-free headlines and recent hype associated with Enersys, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Enersys' stock price prediction:
Quarterly Earnings Growth
(0.10)
EPS Estimate Next Quarter
2.5475
EPS Estimate Current Year
10.354
EPS Estimate Next Year
11.722
Wall Street Target Price
174.6
Using Enersys hype-based prediction, you can estimate the value of Enersys from the perspective of Enersys response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Enersys using Enersys' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Enersys using crowd psychology based on the activity and movement of Enersys' stock price.

Enersys Short Interest

An investor who is long Enersys may also wish to track short interest. As short interest increases, investors should be becoming more worried about Enersys and may potentially protect profits, hedge Enersys with its derivative instruments, or be ready for some potential downside.
200 Day MA
111.3155
Short Percent
0.0316
Short Ratio
2
Shares Short Prior Month
872.6 K
50 Day MA
149.6752

Enersys Relative Strength Index

The Simple Exponential Smoothing forecasted value of Enersys on the next trading day is expected to be 173.41 with a mean absolute deviation of 2.13 and the sum of the absolute errors of 127.56.

Enersys Hype to Price Pattern

Investor biases related to Enersys' public news can be used to forecast risks associated with an investment in Enersys. The trend in average sentiment can be used to explain how an investor holding Enersys can time the market purely based on public headlines and social activities around Enersys. 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 Enersys' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Enersys.

Enersys Implied Volatility

    
  0.6  
Enersys' implied volatility exposes the market's sentiment of Enersys stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Enersys' 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 Enersys stock will not fluctuate a lot when Enersys' options are near their expiration.
The Simple Exponential Smoothing forecasted value of Enersys on the next trading day is expected to be 173.41 with a mean absolute deviation of 2.13 and the sum of the absolute errors of 127.56.

Enersys after-hype prediction price

    
  USD 173.41  
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 Enersys to cross-verify your projections.
For more information on how to buy Enersys Stock please use our How to Invest in Enersys guide.

Prediction based on Rule 16 of the current Enersys contract

Based on the Rule 16, the options market is currently suggesting that Enersys will have an average daily up or down price movement of about 0.0375% per day over the life of the 2026-03-20 option contract. With Enersys trading at USD 173.41, that is roughly USD 0.065 . If you think that the market is fully incorporating Enersys' daily price movement you should consider acquiring Enersys options at the current volatility level of 0.6%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 Enersys Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Enersys' 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 Enersys' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Enersys 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 Enersys' open interest, investors have to compare it to Enersys' 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 Enersys 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 Enersys. 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.

Enersys Additional Predictive Modules

Most predictive techniques to examine Enersys price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Enersys using various technical indicators. When you analyze Enersys 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.
Enersys 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 Enersys are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Enersys prices get older.

Enersys Simple Exponential Smoothing Price Forecast For the 27th of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Enersys on the next trading day is expected to be 173.41 with a mean absolute deviation of 2.13, mean absolute percentage error of 6.84, and the sum of the absolute errors of 127.56.
Please note that although there have been many attempts to predict Enersys 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 Enersys' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Enersys Stock Forecast Pattern

Backtest Enersys  Enersys Price Prediction  Buy or Sell Advice  

Enersys Forecasted Value

In the context of forecasting Enersys' 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. Enersys' downside and upside margins for the forecasting period are 171.70 and 175.12, respectively. We have considered Enersys' 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.
Market Value
173.41
171.70
Downside
173.41
Expected Value
175.12
Upside

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 Enersys stock data series using in forecasting. Note that when a statistical model is used to represent Enersys 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.
AICAkaike Information Criteria118.195
BiasArithmetic mean of the errors -0.8637
MADMean absolute deviation2.126
MAPEMean absolute percentage error0.0146
SAESum of the absolute errors127.56
This simple exponential smoothing model begins by setting Enersys forecast for the second period equal to the observation of the first period. In other words, recent Enersys observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Enersys

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enersys. 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.
Hype
Prediction
LowEstimatedHigh
171.72173.41175.10
Details
Intrinsic
Valuation
LowRealHigh
143.97145.66190.75
Details
Bollinger
Band Projection (param)
LowMiddleHigh
139.65158.80177.95
Details
6 Analysts
Consensus
LowTargetHigh
158.89174.60193.81
Details

Enersys After-Hype Price Density Analysis

As far as predicting the price of Enersys 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 Enersys 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 Enersys, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Enersys Estimiated After-Hype Price Volatility

In the context of predicting Enersys' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Enersys' historical news coverage. Enersys' after-hype downside and upside margins for the prediction period are 171.72 and 175.10, respectively. We have considered Enersys' 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
173.41
171.72
Downside
173.41
After-hype Price
175.10
Upside
Enersys is very steady at this time. Analysis and calculation of next after-hype price of Enersys is based on 3 months time horizon.

Enersys Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Enersys is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Enersys 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 Enersys, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.60 
1.71
  3.55 
  1.42 
10 Events / Month
7 Events / Month
In about 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
173.41
173.41
0.00 
28.93  
Notes

Enersys Hype Timeline

On the 26th of January Enersys is traded for 173.41. The entity has historical hype elasticity of 3.55, and average elasticity to hype of competition of 1.42. Enersys is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 28.93%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.6%. %. The volatility of related hype on Enersys is about 72.18%, with the expected price after the next announcement by competition of 174.83. About 98.0% of the company shares are held by institutions such as insurance companies. The book value of Enersys was currently reported as 50.09. The company has Price/Earnings To Growth (PEG) ratio of 0.94. Enersys recorded earning per share (EPS) of 8.53. The entity last dividend was issued on the 12th of December 2025. The firm had 10:1 split on the 20th of October 2011. Considering the 90-day investment horizon the next estimated press release will be in about 10 days.
Check out Historical Fundamental Analysis of Enersys to cross-verify your projections.
For more information on how to buy Enersys Stock please use our How to Invest in Enersys guide.

Enersys Related Hype Analysis

Having access to credible news sources related to Enersys' direct competition is more important than ever and may enhance your ability to predict Enersys' future price movements. Getting to know how Enersys' 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 Enersys may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
POWLPowell Industries 22.59 10 per month 4.13  0.07  6.27 (7.08) 18.07 
MMSMaximus 0.31 3 per month 0.94  0.08  3.42 (1.91) 7.84 
OMABGrupo Aeroportuario del(0.32)16 per month 1.09  0.12  4.87 (1.92) 10.36 
EOSEEos Energy Enterprises 0.59 7 per month 5.53  0.05  11.94 (9.57) 31.35 
MSMMSC Industrial Direct(0.30)8 per month 1.74 (0.03) 3.10 (3.15) 10.04 
CARAvis Budget Group 2.41 6 per month 0.00 (0.15) 3.62 (4.19) 10.91 
ECGEverus Construction Group(1.16)10 per month 3.72 (0) 5.40 (5.73) 20.64 
RALRalliant Common 0.31 8 per month 1.20  0.17  3.14 (2.41) 8.74 
BCOBrinks Company(1.37)11 per month 1.35  0.05  3.11 (2.28) 10.50 
ALKAlaska Air Group 0.63 7 per month 2.64  0.01  4.46 (4.30) 11.23 

Other Forecasting Options for Enersys

For every potential investor in Enersys, whether a beginner or expert, Enersys' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Enersys Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Enersys. Basic forecasting techniques help filter out the noise by identifying Enersys' price trends.

Enersys 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 Enersys stock to make a market-neutral strategy. Peer analysis of Enersys could also be used in its relative valuation, which is a method of valuing Enersys by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Enersys Market Strength Events

Market strength indicators help investors to evaluate how Enersys stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enersys shares will generate the highest return on investment. By undertsting and applying Enersys stock market strength indicators, traders can identify Enersys entry and exit signals to maximize returns.

Enersys Risk Indicators

The analysis of Enersys' 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 Enersys' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enersys 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.
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 Enersys

The number of cover stories for Enersys depends on current market conditions and Enersys' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Enersys 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 Enersys' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Enersys Short Properties

Enersys' future price predictability will typically decrease when Enersys' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Enersys often depends not only on the future outlook of the potential Enersys' 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. Enersys' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding40.4 M
Cash And Short Term Investments343.1 M

Additional Tools for Enersys Stock Analysis

When running Enersys' price analysis, check to measure Enersys' 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 Enersys is operating at the current time. Most of Enersys' value examination focuses on studying past and present price action to predict the probability of Enersys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enersys' price. Additionally, you may evaluate how the addition of Enersys to your portfolios can decrease your overall portfolio volatility.