SYSTEMAIR Stock Forecast - Simple Moving Average

52SA Stock   7.95  0.01  0.13%   
The Simple Moving Average forecasted value of SYSTEMAIR AB on the next trading day is expected to be 7.95 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.16. Investors can use prediction functions to forecast SYSTEMAIR's stock prices and determine the direction of SYSTEMAIR AB's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of SYSTEMAIR's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
  
A two period moving average forecast for SYSTEMAIR is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

SYSTEMAIR Simple Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the Simple Moving Average forecasted value of SYSTEMAIR AB on the next trading day is expected to be 7.95 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.16.
Please note that although there have been many attempts to predict SYSTEMAIR 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 SYSTEMAIR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SYSTEMAIR Stock Forecast Pattern

SYSTEMAIR Forecasted Value

In the context of forecasting SYSTEMAIR'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. SYSTEMAIR's downside and upside margins for the forecasting period are 3.85 and 12.05, respectively. We have considered SYSTEMAIR'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
7.95
7.95
Expected Value
12.05
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of SYSTEMAIR stock data series using in forecasting. Note that when a statistical model is used to represent SYSTEMAIR 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 Criteria110.6271
BiasArithmetic mean of the errors -0.0281
MADMean absolute deviation0.1214
MAPEMean absolute percentage error0.0164
SAESum of the absolute errors7.165
The simple moving average model is conceptually a linear regression of the current value of SYSTEMAIR AB price series against current and previous (unobserved) value of SYSTEMAIR. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for SYSTEMAIR

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SYSTEMAIR AB. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SYSTEMAIR. Your research has to be compared to or analyzed against SYSTEMAIR's peers to derive any actionable benefits. When done correctly, SYSTEMAIR'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 SYSTEMAIR AB.

Other Forecasting Options for SYSTEMAIR

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

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

SYSTEMAIR AB 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 SYSTEMAIR'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 SYSTEMAIR's current price.

SYSTEMAIR Market Strength Events

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

SYSTEMAIR Risk Indicators

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

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