SoftBank Group Stock Forecast - 8 Period Moving Average

SFT Stock  EUR 54.49  0.28  0.52%   
The 8 Period Moving Average forecasted value of SoftBank Group Corp on the next trading day is expected to be 57.15 with a mean absolute deviation of 1.68 and the sum of the absolute errors of 88.81. SoftBank Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SoftBank Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for SoftBank Group is based on an artificially constructed time series of SoftBank Group 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.

SoftBank Group 8 Period Moving Average Price Forecast For the 25th of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of SoftBank Group Corp on the next trading day is expected to be 57.15 with a mean absolute deviation of 1.68, mean absolute percentage error of 4.07, and the sum of the absolute errors of 88.81.
Please note that although there have been many attempts to predict SoftBank 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 SoftBank Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SoftBank Group Stock Forecast Pattern

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SoftBank Group Forecasted Value

In the context of forecasting SoftBank Group'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. SoftBank Group's downside and upside margins for the forecasting period are 49.38 and 64.91, respectively. We have considered SoftBank Group'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
54.49
57.15
Expected Value
64.91
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 SoftBank Group stock data series using in forecasting. Note that when a statistical model is used to represent SoftBank Group 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 Criteria104.81
BiasArithmetic mean of the errors -0.1847
MADMean absolute deviation1.6756
MAPEMean absolute percentage error0.0301
SAESum of the absolute errors88.8087
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. SoftBank Group Corp 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for SoftBank Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SoftBank Group Corp. 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
46.7354.4962.25
Details
Intrinsic
Valuation
LowRealHigh
49.0465.3773.13
Details

Other Forecasting Options for SoftBank Group

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

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

SoftBank Group Corp 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 SoftBank Group'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 SoftBank Group's current price.

SoftBank Group Market Strength Events

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

SoftBank Group Risk Indicators

The analysis of SoftBank Group'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 SoftBank Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting softbank 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.

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Other Information on Investing in SoftBank Stock

SoftBank Group financial ratios help investors to determine whether SoftBank 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 SoftBank with respect to the benefits of owning SoftBank Group security.