Getlink SE Stock Forecast - 20 Period Moving Average

TNU3 Stock  EUR 15.13  0.24  1.61%   
The 20 Period Moving Average forecasted value of Getlink SE on the next trading day is expected to be 15.41 with a mean absolute deviation of 0.30 and the sum of the absolute errors of 12.16. Getlink Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Getlink SE's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Getlink SE is based on a synthetically constructed Getlink SEdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Getlink SE 20 Period Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Getlink SE on the next trading day is expected to be 15.41 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.12, and the sum of the absolute errors of 12.16.
Please note that although there have been many attempts to predict Getlink 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 Getlink SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Getlink SE Stock Forecast Pattern

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Getlink SE Forecasted Value

In the context of forecasting Getlink SE'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. Getlink SE's downside and upside margins for the forecasting period are 14.18 and 16.63, respectively. We have considered Getlink SE'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
15.13
15.41
Expected Value
16.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Getlink SE stock data series using in forecasting. Note that when a statistical model is used to represent Getlink SE 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 Criteria79.2261
BiasArithmetic mean of the errors 0.1078
MADMean absolute deviation0.2965
MAPEMean absolute percentage error0.0193
SAESum of the absolute errors12.1585
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Getlink SE 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Getlink SE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Getlink SE. 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
13.9015.1316.36
Details
Intrinsic
Valuation
LowRealHigh
14.0815.3116.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Getlink SE. Your research has to be compared to or analyzed against Getlink SE's peers to derive any actionable benefits. When done correctly, Getlink SE's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Getlink SE.

Other Forecasting Options for Getlink SE

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

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

Getlink SE 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 Getlink SE'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 Getlink SE's current price.

Getlink SE Market Strength Events

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

Getlink SE Risk Indicators

The analysis of Getlink SE'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 Getlink SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting getlink 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 Getlink Stock

Getlink SE financial ratios help investors to determine whether Getlink 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 Getlink with respect to the benefits of owning Getlink SE security.