China Mobile Stock Forecast - Simple Regression
| CTM Stock | EUR 8.56 0.00 0.00% |
The Simple Regression forecasted value of China Mobile Limited on the next trading day is expected to be 8.56 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. China Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of China Mobile's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 21st of January 2026 the value of rsi of China Mobile's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using China Mobile hype-based prediction, you can estimate the value of China Mobile Limited from the perspective of China Mobile response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of China Mobile Limited on the next trading day is expected to be 8.56 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. China Mobile after-hype prediction price | EUR 8.56 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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China Mobile Additional Predictive Modules
Most predictive techniques to examine China price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for China using various technical indicators. When you analyze China charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
China Mobile Simple Regression Price Forecast For the 22nd of January
Given 90 days horizon, the Simple Regression forecasted value of China Mobile Limited on the next trading day is expected to be 8.56 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict China 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 China Mobile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Mobile Stock Forecast Pattern
| Backtest China Mobile | China Mobile Price Prediction | Buy or Sell Advice |
China Mobile Forecasted Value
In the context of forecasting China Mobile'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. China Mobile's downside and upside margins for the forecasting period are 8.56 and 8.56, respectively. We have considered China Mobile'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of China Mobile stock data series using in forecasting. Note that when a statistical model is used to represent China Mobile 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 | 51.2129 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for China Mobile
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as China Mobile 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.Other Forecasting Options for China Mobile
For every potential investor in China, whether a beginner or expert, China Mobile's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. China Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in China. Basic forecasting techniques help filter out the noise by identifying China Mobile's price trends.China Mobile 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 China Mobile stock to make a market-neutral strategy. Peer analysis of China Mobile could also be used in its relative valuation, which is a method of valuing China Mobile by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
China Mobile 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 China Mobile'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 China Mobile's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
China Mobile Market Strength Events
Market strength indicators help investors to evaluate how China Mobile stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading China Mobile shares will generate the highest return on investment. By undertsting and applying China Mobile stock market strength indicators, traders can identify China Mobile Limited entry and exit signals to maximize returns.
Currently Active Assets on Macroaxis
Other Information on Investing in China Stock
China Mobile financial ratios help investors to determine whether China 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 China with respect to the benefits of owning China Mobile security.