GungHo Online OTC Stock Forecast - Simple Moving Average

GUNGF Stock  USD 19.28  0.00  0.00%   
The Simple Moving Average forecasted value of GungHo Online Entertainment on the next trading day is expected to be 19.28 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. GungHo OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of GungHo Online's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for GungHo Online 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.

GungHo Online Simple Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the Simple Moving Average forecasted value of GungHo Online Entertainment on the next trading day is expected to be 19.28 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict GungHo OTC 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 GungHo Online's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GungHo Online OTC Stock Forecast Pattern

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GungHo Online Forecasted Value

In the context of forecasting GungHo Online's OTC 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. GungHo Online's downside and upside margins for the forecasting period are 19.28 and 19.28, respectively. We have considered GungHo Online'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
19.28
19.28
Expected Value
19.28
Upside

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 GungHo Online otc stock data series using in forecasting. Note that when a statistical model is used to represent GungHo Online otc 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The simple moving average model is conceptually a linear regression of the current value of GungHo Online Entertainment price series against current and previous (unobserved) value of GungHo Online. 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 GungHo Online

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GungHo Online Entert. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
19.2819.2819.28
Details
Intrinsic
Valuation
LowRealHigh
19.2819.2819.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.2819.2819.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as GungHo Online. Your research has to be compared to or analyzed against GungHo Online's peers to derive any actionable benefits. When done correctly, GungHo Online's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in GungHo Online Entert.

Other Forecasting Options for GungHo Online

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

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

GungHo Online Entert Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GungHo Online'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 GungHo Online's current price.

GungHo Online Market Strength Events

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

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Other Information on Investing in GungHo OTC Stock

GungHo Online financial ratios help investors to determine whether GungHo OTC 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 GungHo with respect to the benefits of owning GungHo Online security.