QUEEN S Stock Forecast - Simple Exponential Smoothing

47U Stock  EUR 3.82  0.00  0.00%   
The Simple Exponential Smoothing forecasted value of QUEEN S ROAD on the next trading day is expected to be 3.82 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.00. QUEEN Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of QUEEN S's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
QUEEN S 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 QUEEN S ROAD are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as QUEEN S ROAD prices get older.

QUEEN S Simple Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of QUEEN S ROAD on the next trading day is expected to be 3.82 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.00.
Please note that although there have been many attempts to predict QUEEN 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 QUEEN S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

QUEEN S Stock Forecast Pattern

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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 QUEEN S stock data series using in forecasting. Note that when a statistical model is used to represent QUEEN S 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 Criteria111.6081
BiasArithmetic mean of the errors 0.0185
MADMean absolute deviation0.0666
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors3.999
This simple exponential smoothing model begins by setting QUEEN S ROAD forecast for the second period equal to the observation of the first period. In other words, recent QUEEN S observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for QUEEN S

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as QUEEN S ROAD. 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
1.573.826.07
Details
Intrinsic
Valuation
LowRealHigh
1.163.415.66
Details

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

QUEEN S Market Strength Events

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

QUEEN S Risk Indicators

The analysis of QUEEN S'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 QUEEN S's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting queen 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 QUEEN Stock

QUEEN S financial ratios help investors to determine whether QUEEN 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 QUEEN with respect to the benefits of owning QUEEN S security.