GungHo Online Stock Forecast - 20 Period Moving Average
| G03 Stock | EUR 19.10 0.10 0.53% |
The 20 Period Moving Average forecasted value of GungHo Online Entertainment on the next trading day is expected to be 18.48 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 30.25. GungHo 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.
GungHo |
GungHo Online 20 Period Moving Average Price Forecast For the 12th of December 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of GungHo Online Entertainment on the next trading day is expected to be 18.48 with a mean absolute deviation of 0.74, mean absolute percentage error of 0.70, and the sum of the absolute errors of 30.25.Please note that although there have been many attempts to predict GungHo 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 Stock Forecast Pattern
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GungHo Online Forecasted Value
In the context of forecasting GungHo Online'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. GungHo Online's downside and upside margins for the forecasting period are 16.31 and 20.64, 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.
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 GungHo Online stock data series using in forecasting. Note that when a statistical model is used to represent GungHo Online 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.| AIC | Akaike Information Criteria | 80.9979 |
| Bias | Arithmetic mean of the errors | -0.008 |
| MAD | Mean absolute deviation | 0.7378 |
| MAPE | Mean absolute percentage error | 0.039 |
| SAE | Sum of the absolute errors | 30.25 |
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 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.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 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 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 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GungHo Online Market Strength Events
Market strength indicators help investors to evaluate how GungHo Online 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 stock market strength indicators, traders can identify GungHo Online Entertainment entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 19.1 | |||
| Day Typical Price | 19.1 | |||
| Price Action Indicator | 0.05 | |||
| Period Momentum Indicator | 0.1 |
GungHo Online Risk Indicators
The analysis of GungHo Online'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 GungHo Online's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gungho 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.
| Mean Deviation | 1.42 | |||
| Semi Deviation | 1.81 | |||
| Standard Deviation | 2.16 | |||
| Variance | 4.69 | |||
| Downside Variance | 5.3 | |||
| Semi Variance | 3.29 | |||
| Expected Short fall | (2.18) |
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 GungHo Stock
GungHo Online financial ratios help investors to determine whether GungHo 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.