Great Wall Pink Sheet Forecast - Simple Moving Average
| GWLLF Stock | USD 1.78 0.04 2.20% |
The Simple Moving Average forecasted value of Great Wall Motor on the next trading day is expected to be 1.80 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.17. 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.
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Great Wall Simple Moving Average Price Forecast For the 12th of December 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Great Wall Motor on the next trading day is expected to be 1.80 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.17.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
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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 6.77, 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 Simple 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 | 109.7108 |
| Bias | Arithmetic mean of the errors | -0.0097 |
| MAD | Mean absolute deviation | 0.0706 |
| MAPE | Mean absolute percentage error | 0.0398 |
| SAE | Sum of the absolute errors | 4.165 |
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.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 Motor Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Great Wall'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 Great Wall's current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Volatility Indicators | ||
| Volume Indicators |
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.
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 | 3.31 | |||
| Semi Deviation | 3.22 | |||
| Standard Deviation | 5.12 | |||
| Variance | 26.23 | |||
| Downside Variance | 30.93 | |||
| Semi Variance | 10.36 | |||
| Expected Short fall | (5.02) |
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 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.