Great Wall Pink Sheet Forecast - 4 Period Moving Average
| GWLLF Stock | USD 1.72 0.01 0.58% |
The 4 Period Moving Average forecasted value of Great Wall Motor on the next trading day is expected to be 1.73 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.06. Great Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Great Wall's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 24th of January 2026 the relative strength index (rsi) of Great Wall's share price is below 20 . This usually indicates that the pink sheet 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 Great Wall hype-based prediction, you can estimate the value of Great Wall Motor from the perspective of Great Wall response to recently generated media hype and the effects of current headlines on its competitors.
The 4 Period Moving Average forecasted value of Great Wall Motor on the next trading day is expected to be 1.73 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.06. Great Wall after-hype prediction price | USD 1.74 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Great |
Great Wall Additional Predictive Modules
Most predictive techniques to examine Great price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Great using various technical indicators. When you analyze Great 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 |
Great Wall 4 Period Moving Average Price Forecast For the 25th of January
Given 90 days horizon, the 4 Period Moving Average forecasted value of Great Wall Motor on the next trading day is expected to be 1.73 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.06.Please note that although there have been many attempts to predict Great Pink Sheet 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 Great Wall's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Great Wall Pink Sheet Forecast Pattern
| Backtest Great Wall | Great Wall Price Prediction | Buy or Sell Advice |
Great Wall Forecasted Value
In the context of forecasting Great Wall's Pink Sheet 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. Great Wall's downside and upside margins for the forecasting period are 0.02 and 3.91, respectively. We have considered Great Wall'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Great Wall pink sheet data series using in forecasting. Note that when a statistical model is used to represent Great Wall pink sheet, 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 | 106.536 |
| Bias | Arithmetic mean of the errors | 0.0146 |
| MAD | Mean absolute deviation | 0.0355 |
| MAPE | Mean absolute percentage error | 0.0188 |
| SAE | Sum of the absolute errors | 2.0575 |
Predictive Modules for Great Wall
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Great Wall Motor. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Great Wall After-Hype Price Prediction Density Analysis
As far as predicting the price of Great Wall at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Great Wall or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Great Wall, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Great Wall Estimiated After-Hype Price Volatility
In the context of predicting Great Wall's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Great Wall's historical news coverage. Great Wall's after-hype downside and upside margins for the prediction period are 0.09 and 3.92, respectively. We have considered Great Wall's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Great Wall is risky at this time. Analysis and calculation of next after-hype price of Great Wall Motor is based on 3 months time horizon.
Great Wall Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Great Wall is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Great Wall backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Great Wall, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.14 | 2.18 | 0.02 | 0.00 | 7 Events / Month | 4 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.72 | 1.74 | 1.16 |
|
Great Wall Hype Timeline
Great Wall Motor is currently traded for 1.72. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of 0.0. Great is expected to increase in value after the next headline, with the price projected to jump to 1.74 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is estimated to be 1.16%, whereas the daily expected return is currently at -0.14%. The volatility of related hype on Great Wall is about 12823.53%, with the expected price after the next announcement by competition of 1.72. The company reported the revenue of 136.4 B. Net Income was 6.73 B with profit before overhead, payroll, taxes, and interest of 8.01 B. Assuming the 90 days horizon the next expected press release will be in about 7 days. Check out Historical Fundamental Analysis of Great Wall to cross-verify your projections.Great Wall Related Hype Analysis
Having access to credible news sources related to Great Wall's direct competition is more important than ever and may enhance your ability to predict Great Wall's future price movements. Getting to know how Great Wall's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Great Wall may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GELYF | Geely Automobile Holdings | 0.42 | 23 per month | 0.00 | (0.12) | 3.23 | (4.02) | 10.42 | |
| MGDDY | Compagnie Generale des | 0.42 | 15 per month | 1.55 | 0.08 | 2.72 | (1.61) | 12.01 | |
| SZKMF | Suzuki Motor | (0.89) | 7 per month | 2.27 | (0.02) | 4.27 | (4.22) | 11.99 | |
| SZKMY | Suzuki Motor Corp | 0.42 | 20 per month | 0.00 | (0.07) | 3.20 | (3.66) | 10.19 | |
| XPNGF | XPeng Inc | 0.00 | 0 per month | 0.00 | (0.14) | 1.45 | (5.97) | 16.44 | |
| GXYEF | Galaxy Entertainment Group | (0.27) | 6 per month | 4.25 | 0.05 | 10.17 | (7.96) | 21.65 | |
| MGDDF | Compagnie Gnrale des | (0.27) | 3 per month | 5.05 | 0.05 | 11.49 | (10.83) | 24.53 | |
| FUJHY | Subaru Corp ADR | 0.00 | 0 per month | 1.76 | (0.02) | 2.84 | (3.45) | 9.91 | |
| FUJHF | Subaru Corp | 0.00 | 0 per month | 2.73 | 0.06 | 6.28 | (6.78) | 20.97 | |
| GXYYY | Galaxy Entertainment Group | 0.00 | 0 per month | 1.37 | 0.03 | 2.85 | (1.93) | 7.58 |
Other Forecasting Options for Great Wall
For every potential investor in Great, whether a beginner or expert, Great Wall's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Great Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Great. Basic forecasting techniques help filter out the noise by identifying Great Wall's price trends.Great Wall 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 Great Wall pink sheet to make a market-neutral strategy. Peer analysis of Great Wall could also be used in its relative valuation, which is a method of valuing Great Wall by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Great Wall Market Strength Events
Market strength indicators help investors to evaluate how Great Wall pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Great Wall shares will generate the highest return on investment. By undertsting and applying Great Wall pink sheet market strength indicators, traders can identify Great Wall Motor entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 1.72 | |||
| Day Typical Price | 1.72 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Great Wall Risk Indicators
The analysis of Great Wall'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 Great Wall's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting great pink sheet 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 | 1.01 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.4 |
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.
Story Coverage note for Great Wall
The number of cover stories for Great Wall depends on current market conditions and Great Wall's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Great Wall is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Great Wall's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in Great Pink Sheet
Great Wall financial ratios help investors to determine whether Great Pink Sheet 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 Great with respect to the benefits of owning Great Wall security.