ATOSS Software Stock Forecast - Simple Moving Average

AOF Stock  EUR 123.00  0.80  0.65%   
The Simple Moving Average forecasted value of ATOSS Software SE on the next trading day is expected to be 123.40 with a mean absolute deviation of 2.23 and the sum of the absolute errors of 131.30. ATOSS Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of ATOSS Software's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for ATOSS Software 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.

ATOSS Software Simple Moving Average Price Forecast For the 3rd of December

Given 90 days horizon, the Simple Moving Average forecasted value of ATOSS Software SE on the next trading day is expected to be 123.40 with a mean absolute deviation of 2.23, mean absolute percentage error of 7.98, and the sum of the absolute errors of 131.30.
Please note that although there have been many attempts to predict ATOSS 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 ATOSS Software's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ATOSS Software Stock Forecast Pattern

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ATOSS Software Forecasted Value

In the context of forecasting ATOSS Software'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. ATOSS Software's downside and upside margins for the forecasting period are 120.99 and 125.81, respectively. We have considered ATOSS Software'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
123.00
120.99
Downside
123.40
Expected Value
125.81
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 ATOSS Software stock data series using in forecasting. Note that when a statistical model is used to represent ATOSS Software 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 Criteria116.5115
BiasArithmetic mean of the errors -0.0932
MADMean absolute deviation2.2254
MAPEMean absolute percentage error0.0178
SAESum of the absolute errors131.3
The simple moving average model is conceptually a linear regression of the current value of ATOSS Software SE price series against current and previous (unobserved) value of ATOSS Software. 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 ATOSS Software

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ATOSS Software 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
120.59123.00125.41
Details
Intrinsic
Valuation
LowRealHigh
121.99124.40126.81
Details
Bollinger
Band Projection (param)
LowMiddleHigh
116.41121.10125.80
Details

Other Forecasting Options for ATOSS Software

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

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

ATOSS Software 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 ATOSS Software'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 ATOSS Software's current price.

ATOSS Software Market Strength Events

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

ATOSS Software Risk Indicators

The analysis of ATOSS Software'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 ATOSS Software's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting atoss 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 ATOSS Stock

ATOSS Software financial ratios help investors to determine whether ATOSS 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 ATOSS with respect to the benefits of owning ATOSS Software security.