Energiedienst Holding Pink Sheet Forecast - Naive Prediction

ENGDF Stock  USD 36.06  0.00  0.00%   
The Naive Prediction forecasted value of Energiedienst Holding AG on the next trading day is expected to be 36.06 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Energiedienst Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Energiedienst Holding's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 11th of January 2026 the relative strength index (rsi) of Energiedienst Holding's share price is below 20 suggesting that the pink sheet 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 Energiedienst Holding'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 Energiedienst Holding and does not consider all of the tangible or intangible factors available from Energiedienst Holding's fundamental data. We analyze noise-free headlines and recent hype associated with Energiedienst Holding AG, which may create opportunities for some arbitrage if properly timed.
Using Energiedienst Holding hype-based prediction, you can estimate the value of Energiedienst Holding AG from the perspective of Energiedienst Holding response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Energiedienst Holding AG on the next trading day is expected to be 36.06 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Energiedienst Holding after-hype prediction price

    
  USD 36.06  
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Energiedienst Holding to cross-verify your projections.

Energiedienst Holding Additional Predictive Modules

Most predictive techniques to examine Energiedienst price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Energiedienst using various technical indicators. When you analyze Energiedienst 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.
A naive forecasting model for Energiedienst Holding is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Energiedienst Holding AG value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Energiedienst Holding Naive Prediction Price Forecast For the 12th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of Energiedienst Holding AG on the next trading day is expected to be 36.06 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Energiedienst Pink Sheet 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 Energiedienst Holding's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Energiedienst Holding Pink Sheet Forecast Pattern

Backtest Energiedienst HoldingEnergiedienst Holding Price PredictionBuy or Sell Advice 

Energiedienst Holding Forecasted Value

In the context of forecasting Energiedienst Holding's Pink Sheet 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. Energiedienst Holding's downside and upside margins for the forecasting period are 36.06 and 36.06, respectively. We have considered Energiedienst Holding'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
36.06
36.06
Expected Value
36.06
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Energiedienst Holding pink sheet data series using in forecasting. Note that when a statistical model is used to represent Energiedienst Holding pink sheet, 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 Criteria57.7731
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Energiedienst Holding AG. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Energiedienst Holding. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Energiedienst Holding

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Energiedienst Holding. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Energiedienst Holding's 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.
Hype
Prediction
LowEstimatedHigh
36.0636.0636.06
Details
Intrinsic
Valuation
LowRealHigh
36.0636.0636.06
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.0636.0636.06
Details

Other Forecasting Options for Energiedienst Holding

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

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

Energiedienst Holding Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Energiedienst Holding'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 Energiedienst Holding's current price.

Energiedienst Holding Market Strength Events

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

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Other Information on Investing in Energiedienst Pink Sheet

Energiedienst Holding financial ratios help investors to determine whether Energiedienst Pink Sheet 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 Energiedienst with respect to the benefits of owning Energiedienst Holding security.