AT S Stock Forecast - 8 Period Moving Average

ATS Stock  EUR 20.36  0.24  1.19%   
The 8 Period Moving Average forecasted value of AT S Austria on the next trading day is expected to be 19.57 with a mean absolute deviation of  0.85  and the sum of the absolute errors of 44.85. ATS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast AT S stock prices and determine the direction of AT S Austria's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of AT S's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of AT S to cross-verify your projections.
  
Most investors in AT S cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the AT S's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets AT S's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for AT S is based on an artificially constructed time series of AT S daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

AT S 8 Period Moving Average Price Forecast For the 30th of April

Given 90 days horizon, the 8 Period Moving Average forecasted value of AT S Austria on the next trading day is expected to be 19.57 with a mean absolute deviation of 0.85, mean absolute percentage error of 0.94, and the sum of the absolute errors of 44.85.
Please note that although there have been many attempts to predict ATS 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 AT S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AT S Stock Forecast Pattern

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AT S Forecasted Value

In the context of forecasting AT S'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. AT S's downside and upside margins for the forecasting period are 17.25 and 21.88, respectively. We have considered AT S'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
20.36
19.57
Expected Value
21.88
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of AT S stock data series using in forecasting. Note that when a statistical model is used to represent AT 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 Criteria103.3507
BiasArithmetic mean of the errors 0.1508
MADMean absolute deviation0.8462
MAPEMean absolute percentage error0.045
SAESum of the absolute errors44.85
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. AT S Austria 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for AT 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 AT S Austria. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AT S's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
18.0520.3622.67
Details
Intrinsic
Valuation
LowRealHigh
14.9617.2722.40
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.1518.3920.63
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AT S. Your research has to be compared to or analyzed against AT S's peers to derive any actionable benefits. When done correctly, AT S'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 AT S Austria.

Other Forecasting Options for AT S

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

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

AT S Austria 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 AT S'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 AT S's current price.

AT S Market Strength Events

Market strength indicators help investors to evaluate how AT 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 AT S shares will generate the highest return on investment. By undertsting and applying AT S stock market strength indicators, traders can identify AT S Austria entry and exit signals to maximize returns.

AT S Risk Indicators

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

Pair Trading with AT S

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AT S position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AT S will appreciate offsetting losses from the drop in the long position's value.

Moving against ATS Stock

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  0.47WPB Wiener PrivatbankPairCorr
  0.42IIA IMMOFINANZ AGPairCorr
The ability to find closely correlated positions to AT S could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AT S when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AT S - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AT S Austria to buy it.
The correlation of AT S is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AT S moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AT S Austria moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AT S can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Historical Fundamental Analysis of AT S to cross-verify your projections.
You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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When running AT S's price analysis, check to measure AT S'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 AT S is operating at the current time. Most of AT S's value examination focuses on studying past and present price action to predict the probability of AT S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AT S's price. Additionally, you may evaluate how the addition of AT S to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between AT S's value and its price as these two are different measures arrived at by different means. Investors typically determine if AT S is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AT S's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.