Gruppo MutuiOnline Stock Forecast - 20 Period Moving Average

0O2B Stock   34.80  0.15  0.43%   
The 20 Period Moving Average forecasted value of Gruppo MutuiOnline SpA on the next trading day is expected to be 36.27 with a mean absolute deviation of 2.66 and the sum of the absolute errors of 111.80. Gruppo Stock Forecast is based on your current time horizon.
At the present time, the relative strength index (RSI) of Gruppo MutuiOnline's share price is approaching 35. This suggests that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Gruppo MutuiOnline, making its price go up or down.

Momentum 35

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of Gruppo MutuiOnline'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 Gruppo MutuiOnline and does not consider all of the tangible or intangible factors available from Gruppo MutuiOnline's fundamental data. We analyze noise-free headlines and recent hype associated with Gruppo MutuiOnline SpA, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Gruppo MutuiOnline's stock price prediction:
Quarterly Earnings Growth
0.041
Quarterly Revenue Growth
0.554
Using Gruppo MutuiOnline hype-based prediction, you can estimate the value of Gruppo MutuiOnline SpA from the perspective of Gruppo MutuiOnline response to recently generated media hype and the effects of current headlines on its competitors.
The 20 Period Moving Average forecasted value of Gruppo MutuiOnline SpA on the next trading day is expected to be 36.27 with a mean absolute deviation of 2.66 and the sum of the absolute errors of 111.80.

Gruppo MutuiOnline after-hype prediction price

    
  EUR 35.33  
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 Trending Equities 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.
At this time, Gruppo MutuiOnline's Cash is comparatively stable compared to the past year. Non Current Assets Total is likely to gain to about 773.3 M in 2026, whereas Common Stock Shares Outstanding is likely to drop slightly above 31.1 M in 2026.

Gruppo MutuiOnline Additional Predictive Modules

Most predictive techniques to examine Gruppo price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Gruppo using various technical indicators. When you analyze Gruppo 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 commonly used 20-period moving average forecast model for Gruppo MutuiOnline SpA is based on a synthetically constructed Gruppo MutuiOnlinedaily 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.

Gruppo MutuiOnline 20 Period Moving Average Price Forecast For the 7th of January

Given 90 days horizon, the 20 Period Moving Average forecasted value of Gruppo MutuiOnline SpA on the next trading day is expected to be 36.27 with a mean absolute deviation of 2.66, mean absolute percentage error of 9.17, and the sum of the absolute errors of 111.80.
Please note that although there have been many attempts to predict Gruppo 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 Gruppo MutuiOnline's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gruppo MutuiOnline Stock Forecast Pattern

Backtest Gruppo MutuiOnlineGruppo MutuiOnline Price PredictionBuy or Sell Advice 

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 Gruppo MutuiOnline stock data series using in forecasting. Note that when a statistical model is used to represent Gruppo MutuiOnline 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 Criteria85.4067
BiasArithmetic mean of the errors 1.6823
MADMean absolute deviation2.662
MAPEMean absolute percentage error0.0695
SAESum of the absolute errors111.802
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. Gruppo MutuiOnline SpA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Gruppo MutuiOnline

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gruppo MutuiOnline SpA. 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
33.2235.3337.44
Details
Intrinsic
Valuation
LowRealHigh
30.2532.3638.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
34.3534.6334.92
Details

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

Gruppo MutuiOnline Market Strength Events

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

Gruppo MutuiOnline Risk Indicators

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

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