ENN Energy Stock Forecast - Triple Exponential Smoothing

XGH Stock  EUR 7.30  0.05  0.68%   
The Triple Exponential Smoothing forecasted value of ENN Energy Holdings on the next trading day is expected to be 7.30 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.51. ENN Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ENN Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 22nd of January 2026 the value of rsi of ENN Energy's share price is below 20 . This entails 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
The successful prediction of ENN Energy's 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 ENN Energy and does not consider all of the tangible or intangible factors available from ENN Energy's fundamental data. We analyze noise-free headlines and recent hype associated with ENN Energy Holdings, which may create opportunities for some arbitrage if properly timed.
Using ENN Energy hype-based prediction, you can estimate the value of ENN Energy Holdings from the perspective of ENN Energy response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of ENN Energy Holdings on the next trading day is expected to be 7.30 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.51.

ENN Energy after-hype prediction price

    
  EUR 7.3  
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 ENN Energy to cross-verify your projections.

ENN Energy Additional Predictive Modules

Most predictive techniques to examine ENN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ENN using various technical indicators. When you analyze ENN 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.
Triple exponential smoothing for ENN Energy - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When ENN Energy prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in ENN Energy price movement. However, neither of these exponential smoothing models address any seasonality of ENN Energy Holdings.

ENN Energy Triple Exponential Smoothing Price Forecast For the 23rd of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of ENN Energy Holdings on the next trading day is expected to be 7.30 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.51.
Please note that although there have been many attempts to predict ENN 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 ENN Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ENN Energy Stock Forecast Pattern

Backtest ENN EnergyENN Energy Price PredictionBuy or Sell Advice 

ENN Energy Forecasted Value

In the context of forecasting ENN Energy'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. ENN Energy's downside and upside margins for the forecasting period are 6.01 and 8.59, respectively. We have considered ENN Energy'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.
Market Value
7.30
7.30
Expected Value
8.59
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ENN Energy stock data series using in forecasting. Note that when a statistical model is used to represent ENN Energy 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0015
MADMean absolute deviation0.0752
MAPEMean absolute percentage error0.0099
SAESum of the absolute errors4.5127
As with simple exponential smoothing, in triple exponential smoothing models past ENN Energy observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older ENN Energy Holdings observations.

Predictive Modules for ENN Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ENN Energy Holdings. 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
6.017.308.59
Details
Intrinsic
Valuation
LowRealHigh
4.976.267.55
Details

Other Forecasting Options for ENN Energy

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

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

ENN Energy Holdings 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 ENN Energy'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 ENN Energy's current price.

ENN Energy Market Strength Events

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

ENN Energy Risk Indicators

The analysis of ENN Energy'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 ENN Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enn 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.

Currently Active Assets on Macroaxis

Other Information on Investing in ENN Stock

ENN Energy financial ratios help investors to determine whether ENN Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ENN with respect to the benefits of owning ENN Energy security.