Data#3 Stock Forecast - 20 Period Moving Average

20Y Stock  EUR 4.58  0.08  1.72%   
The 20 Period Moving Average forecasted value of Data3 Limited on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 5.10. Data#3 Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Data#3's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Data3 Limited is based on a synthetically constructed Data#3daily 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.

Data#3 20 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Data3 Limited on the next trading day is expected to be 4.66 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.10.
Please note that although there have been many attempts to predict Data#3 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 Data#3's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Data#3 Stock Forecast Pattern

Backtest Data#3Data#3 Price PredictionBuy or Sell Advice 

Data#3 Forecasted Value

In the context of forecasting Data#3'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. Data#3's downside and upside margins for the forecasting period are 2.64 and 6.69, respectively. We have considered Data#3'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
4.58
4.66
Expected Value
6.69
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 Data#3 stock data series using in forecasting. Note that when a statistical model is used to represent Data#3 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 Criteria77.4585
BiasArithmetic mean of the errors -0.0305
MADMean absolute deviation0.1243
MAPEMean absolute percentage error0.0272
SAESum of the absolute errors5.097
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. Data3 Limited 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Data#3

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Data3 Limited. 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
2.564.586.60
Details
Intrinsic
Valuation
LowRealHigh
2.234.256.27
Details

Other Forecasting Options for Data#3

For every potential investor in Data#3, whether a beginner or expert, Data#3's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Data#3 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Data#3. Basic forecasting techniques help filter out the noise by identifying Data#3's price trends.

Data#3 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 Data#3 stock to make a market-neutral strategy. Peer analysis of Data#3 could also be used in its relative valuation, which is a method of valuing Data#3 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Data3 Limited 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 Data#3'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 Data#3's current price.

Data#3 Market Strength Events

Market strength indicators help investors to evaluate how Data#3 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Data#3 shares will generate the highest return on investment. By undertsting and applying Data#3 stock market strength indicators, traders can identify Data3 Limited entry and exit signals to maximize returns.

Data#3 Risk Indicators

The analysis of Data#3'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 Data#3's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting data#3 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 Data#3 Stock

Data#3 financial ratios help investors to determine whether Data#3 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 Data#3 with respect to the benefits of owning Data#3 security.