Thunderful Group Stock Forecast - 4 Period Moving Average

THUNDR Stock  SEK 0.87  0.02  2.25%   
The 4 Period Moving Average forecasted value of Thunderful Group AB on the next trading day is expected to be 0.88 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.00. Thunderful Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Thunderful Group stock prices and determine the direction of Thunderful Group AB's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Thunderful Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Thunderful Group AB 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.

Thunderful Group 4 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Thunderful Group AB on the next trading day is expected to be 0.88 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.00.
Please note that although there have been many attempts to predict Thunderful 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 Thunderful Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Thunderful Group Stock Forecast Pattern

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Thunderful Group Forecasted Value

In the context of forecasting Thunderful 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. Thunderful Group's downside and upside margins for the forecasting period are 0.01 and 4.53, respectively. We have considered Thunderful 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
0.87
0.88
Expected Value
4.53
Upside

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 Thunderful Group stock data series using in forecasting. Note that when a statistical model is used to represent Thunderful 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 Criteria106.6576
BiasArithmetic mean of the errors 0.0175
MADMean absolute deviation0.0345
MAPEMean absolute percentage error0.0336
SAESum of the absolute errors2.0
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 Thunderful Group. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Thunderful Group AB and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Thunderful 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 Thunderful 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Thunderful Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.040.874.52
Details
Intrinsic
Valuation
LowRealHigh
0.040.824.47
Details

Other Forecasting Options for Thunderful Group

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

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

Thunderful Group 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 Thunderful 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 Thunderful Group's current price.

Thunderful Group Market Strength Events

Market strength indicators help investors to evaluate how Thunderful 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 Thunderful Group shares will generate the highest return on investment. By undertsting and applying Thunderful Group stock market strength indicators, traders can identify Thunderful Group AB entry and exit signals to maximize returns.

Thunderful Group Risk Indicators

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

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.
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Other Information on Investing in Thunderful Stock

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