SANOMA Dusseldorf Stock Forecast - Simple Exponential Smoothing

SNQB Stock  EUR 8.60  0.14  1.60%   
The Simple Exponential Smoothing forecasted value of SANOMA Dusseldorf on the next trading day is expected to be 8.60 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.02. SANOMA Stock Forecast is based on your current time horizon.
  
SANOMA Dusseldorf 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 SANOMA Dusseldorf are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as SANOMA Dusseldorf prices get older.

SANOMA Dusseldorf Simple Exponential Smoothing Price Forecast For the 18th of February 2025

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SANOMA Dusseldorf on the next trading day is expected to be 8.60 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.02.
Please note that although there have been many attempts to predict SANOMA 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 SANOMA Dusseldorf's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SANOMA Dusseldorf Stock Forecast Pattern

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SANOMA Dusseldorf Forecasted Value

In the context of forecasting SANOMA Dusseldorf'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. SANOMA Dusseldorf's downside and upside margins for the forecasting period are 7.18 and 10.02, respectively. We have considered SANOMA Dusseldorf'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
8.60
8.60
Expected Value
10.02
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 SANOMA Dusseldorf stock data series using in forecasting. Note that when a statistical model is used to represent SANOMA Dusseldorf 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 Criteria111.9702
BiasArithmetic mean of the errors -0.025
MADMean absolute deviation0.0836
MAPEMean absolute percentage error0.0108
SAESum of the absolute errors5.0161
This simple exponential smoothing model begins by setting SANOMA Dusseldorf forecast for the second period equal to the observation of the first period. In other words, recent SANOMA Dusseldorf observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for SANOMA Dusseldorf

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SANOMA Dusseldorf. 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
7.188.6010.02
Details
Intrinsic
Valuation
LowRealHigh
8.269.6811.10
Details

Other Forecasting Options for SANOMA Dusseldorf

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

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

SANOMA Dusseldorf 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 SANOMA Dusseldorf'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 SANOMA Dusseldorf's current price.

SANOMA Dusseldorf Market Strength Events

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

SANOMA Dusseldorf Risk Indicators

The analysis of SANOMA Dusseldorf'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 SANOMA Dusseldorf's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sanoma 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.

Thematic Opportunities

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Additional Tools for SANOMA Stock Analysis

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