Ams AG Stock Forecast - 20 Period Moving Average

AMS Stock  CHF 5.84  0.21  3.47%   
The 20 Period Moving Average forecasted value of Ams AG on the next trading day is expected to be 6.73 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 52.78. Ams Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Ams AG is based on a synthetically constructed Ams AGdaily 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.

Ams AG 20 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Ams AG on the next trading day is expected to be 6.73 with a mean absolute deviation of 1.26, mean absolute percentage error of 2.30, and the sum of the absolute errors of 52.78.
Please note that although there have been many attempts to predict Ams 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 Ams AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ams AG Stock Forecast Pattern

Backtest Ams AGAms AG Price PredictionBuy or Sell Advice 

Ams AG Forecasted Value

In the context of forecasting Ams AG'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. Ams AG's downside and upside margins for the forecasting period are 2.08 and 11.37, respectively. We have considered Ams AG'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
5.84
6.73
Expected Value
11.37
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 Ams AG stock data series using in forecasting. Note that when a statistical model is used to represent Ams AG 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 Criteria84.0219
BiasArithmetic mean of the errors 0.9352
MADMean absolute deviation1.2566
MAPEMean absolute percentage error0.1749
SAESum of the absolute errors52.7755
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. Ams AG 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Ams AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ams AG. 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
1.205.8410.48
Details
Intrinsic
Valuation
LowRealHigh
1.145.7810.42
Details

Other Forecasting Options for Ams AG

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

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

Ams AG 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 Ams AG'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 Ams AG's current price.

Ams AG Market Strength Events

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

Ams AG Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Ams Stock Analysis

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