VIVA WINE Stock Forecast - Simple Moving Average

KY1 Stock   3.32  0.12  3.75%   
The Simple Moving Average forecasted value of VIVA WINE GROUP on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.90. VIVA Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of VIVA WINE's historical fundamentals, such as revenue growth or operating cash flow patterns.
The value of RSI of VIVA WINE's stock price is roughly 63. This indicates that the stock is rather overbought by investors as of 6th of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling VIVA, making its price go up or down.

Momentum 63

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of VIVA WINE's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of VIVA WINE and does not consider all of the tangible or intangible factors available from VIVA WINE's fundamental data. We analyze noise-free headlines and recent hype associated with VIVA WINE GROUP, which may create opportunities for some arbitrage if properly timed.
Using VIVA WINE hype-based prediction, you can estimate the value of VIVA WINE GROUP from the perspective of VIVA WINE response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of VIVA WINE GROUP on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.90.

VIVA WINE after-hype prediction price

    
  EUR 3.32  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.

VIVA WINE Additional Predictive Modules

Most predictive techniques to examine VIVA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for VIVA using various technical indicators. When you analyze VIVA charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A two period moving average forecast for VIVA WINE is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

VIVA WINE Simple Moving Average Price Forecast For the 7th of January

Given 90 days horizon, the Simple Moving Average forecasted value of VIVA WINE GROUP on the next trading day is expected to be 3.32 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.90.
Please note that although there have been many attempts to predict VIVA 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 VIVA WINE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

VIVA WINE Stock Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of VIVA WINE stock data series using in forecasting. Note that when a statistical model is used to represent VIVA WINE 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 Criteria108.8226
BiasArithmetic mean of the errors -0.0054
MADMean absolute deviation0.0492
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors2.9
The simple moving average model is conceptually a linear regression of the current value of VIVA WINE GROUP price series against current and previous (unobserved) value of VIVA WINE. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for VIVA WINE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VIVA WINE GROUP. 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
1.633.325.01
Details
Intrinsic
Valuation
LowRealHigh
1.072.764.45
Details

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

VIVA WINE Market Strength Events

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

VIVA WINE Risk Indicators

The analysis of VIVA WINE'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 VIVA WINE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting viva 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.

Currently Active Assets on Macroaxis

Other Information on Investing in VIVA Stock

VIVA WINE financial ratios help investors to determine whether VIVA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in VIVA with respect to the benefits of owning VIVA WINE security.