Metall Zug Stock Forecast - 8 Period Moving Average

METN Stock  CHF 1,085  45.00  4.33%   
The 8 Period Moving Average forecasted value of Metall Zug AG on the next trading day is expected to be 1,108 with a mean absolute deviation of 16.39 and the sum of the absolute errors of 868.75. Metall Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Metall Zug is based on an artificially constructed time series of Metall Zug 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.

Metall Zug 8 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Metall Zug AG on the next trading day is expected to be 1,108 with a mean absolute deviation of 16.39, mean absolute percentage error of 500.32, and the sum of the absolute errors of 868.75.
Please note that although there have been many attempts to predict Metall 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 Metall Zug's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Metall Zug Stock Forecast Pattern

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Metall Zug Forecasted Value

In the context of forecasting Metall Zug'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. Metall Zug's downside and upside margins for the forecasting period are 1,106 and 1,109, respectively. We have considered Metall Zug'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
1,085
1,108
Expected Value
1,109
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 Metall Zug stock data series using in forecasting. Note that when a statistical model is used to represent Metall Zug 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 Criteria109.6227
BiasArithmetic mean of the errors 9.7877
MADMean absolute deviation16.3915
MAPEMean absolute percentage error0.0142
SAESum of the absolute errors868.75
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. Metall Zug AG 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Metall Zug

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Metall Zug 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
1,0841,0851,086
Details
Intrinsic
Valuation
LowRealHigh
897.70899.101,194
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,0681,1601,252
Details

Other Forecasting Options for Metall Zug

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

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

Metall Zug 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 Metall Zug'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 Metall Zug's current price.

Metall Zug Market Strength Events

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

Metall Zug Risk Indicators

The analysis of Metall Zug'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 Metall Zug's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting metall 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 Metall Stock Analysis

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