China Green Stock Forecast - 4 Period Moving Average
CGADelisted Stock | USD 1.98 0.02 1.02% |
The 4 Period Moving Average forecasted value of China Green Agriculture on the next trading day is expected to be 2.00 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.24. China Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast China Green stock prices and determine the direction of China Green Agriculture's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of China Green's historical fundamentals, such as revenue growth or operating cash flow patterns.
China |
China Green 4 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of China Green Agriculture on the next trading day is expected to be 2.00 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.04, and the sum of the absolute errors of 7.24.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 Green's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Green Stock Forecast Pattern
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China Green Forecasted Value
In the context of forecasting China Green'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 Green's downside and upside margins for the forecasting period are 0.02 and 10.68, respectively. We have considered China Green'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 China Green stock data series using in forecasting. Note that when a statistical model is used to represent China Green 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 | 107.4523 |
Bias | Arithmetic mean of the errors | -0.0103 |
MAD | Mean absolute deviation | 0.127 |
MAPE | Mean absolute percentage error | 0.0625 |
SAE | Sum of the absolute errors | 7.2375 |
Predictive Modules for China Green
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 Green Agriculture. 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 Green
For every potential investor in China, whether a beginner or expert, China Green'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 Green's price trends.China Green 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 Green stock to make a market-neutral strategy. Peer analysis of China Green could also be used in its relative valuation, which is a method of valuing China Green by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
China Green Agriculture 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 Green'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 Green's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
China Green Market Strength Events
Market strength indicators help investors to evaluate how China Green 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 Green shares will generate the highest return on investment. By undertsting and applying China Green stock market strength indicators, traders can identify China Green Agriculture entry and exit signals to maximize returns.
China Green Risk Indicators
The analysis of China Green'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 China Green's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting china 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 | 5.83 | |||
Semi Deviation | 6.57 | |||
Standard Deviation | 8.53 | |||
Variance | 72.72 | |||
Downside Variance | 49.59 | |||
Semi Variance | 43.19 | |||
Expected Short fall | (6.39) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Historical Fundamental Analysis of China Green to cross-verify your projections. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Consideration for investing in China Stock
If you are still planning to invest in China Green Agriculture check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the China Green's history and understand the potential risks before investing.
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