VIS Containers Stock Forecast - 4 Period Moving Average

VIS Stock  EUR 0.14  0.00  0.00%   
The 4 Period Moving Average forecasted value of VIS Containers Manufacturing on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.0003 and the sum of the absolute errors of 0.02. VIS Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for VIS Containers Manufacturing is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

VIS Containers 4 Period Moving Average Price Forecast For the 18th of February 2025

Given 90 days horizon, the 4 Period Moving Average forecasted value of VIS Containers Manufacturing on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.0003, mean absolute percentage error of 0.00000154, and the sum of the absolute errors of 0.02.
Please note that although there have been many attempts to predict VIS 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 VIS Containers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

VIS Containers Stock Forecast Pattern

Backtest VIS ContainersVIS Containers Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of VIS Containers stock data series using in forecasting. Note that when a statistical model is used to represent VIS Containers 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 Criteria97.3721
BiasArithmetic mean of the errors -3.0E-4
MADMean absolute deviation3.0E-4
MAPEMean absolute percentage error0.0019
SAESum of the absolute errors0.015
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of VIS Containers. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for VIS Containers Manufacturing and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for VIS Containers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VIS Containers Manuf. 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
0.140.140.14
Details
Intrinsic
Valuation
LowRealHigh
0.120.120.15
Details

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

VIS Containers Market Strength Events

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

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.
Explore Investing Ideas  

Additional Tools for VIS Stock Analysis

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