ATOSS SOFTWARE Stock Forecast - 20 Period Moving Average

AOF Stock   123.40  1.00  0.82%   
The 20 Period Moving Average forecasted value of ATOSS SOFTWARE on the next trading day is expected to be 118.55 with a mean absolute deviation of 5.50 and the sum of the absolute errors of 230.87. ATOSS Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for ATOSS SOFTWARE is based on a synthetically constructed ATOSS SOFTWAREdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

ATOSS SOFTWARE 20 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of ATOSS SOFTWARE on the next trading day is expected to be 118.55 with a mean absolute deviation of 5.50, mean absolute percentage error of 43.83, and the sum of the absolute errors of 230.87.
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 116.01 and 121.09, 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
123.40
116.01
Downside
118.55
Expected Value
121.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period 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 Criteria86.9711
BiasArithmetic mean of the errors 1.8302
MADMean absolute deviation5.4969
MAPEMean absolute percentage error0.0448
SAESum of the absolute errors230.87
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. ATOSS SOFTWARE 20-period moving average forecast can only be used reliably to predict one or two periods 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. 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 ATOSS SOFTWARE'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
120.86123.40125.94
Details
Intrinsic
Valuation
LowRealHigh
121.66124.20126.74
Details
Bollinger
Band Projection (param)
LowMiddleHigh
113.58118.82124.06
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 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 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for ATOSS Stock Analysis

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