China Food Pink Sheet Forecast - 4 Period Moving Average

CHIF Stock  USD 0.02  0.00  0.00%   
The 4 Period Moving Average forecasted value of China Food and on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0008 and the sum of the absolute errors of 0.05. China Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of China Food's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for China Food and is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

China Food 4 Period Moving Average Price Forecast For the 25th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of China Food and on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.0008, mean absolute percentage error of 0.00000161, and the sum of the absolute errors of 0.05.
Please note that although there have been many attempts to predict China 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 China Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Food Pink Sheet Forecast Pattern

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China Food Forecasted Value

In the context of forecasting China Food'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. China Food's downside and upside margins for the forecasting period are 0.0002 and 13.73, respectively. We have considered China Food'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.
Market Value
0.02
0.0002
Downside
0.02
Expected Value
13.73
Upside

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 Food pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Food 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.
AICAkaike Information Criteria97.4177
BiasArithmetic mean of the errors None
MADMean absolute deviation8.0E-4
MAPEMean absolute percentage error0.0474
SAESum of the absolute errors0.0453
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of China Food. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for China Food and and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for China Food

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 Food. 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.
Hype
Prediction
LowEstimatedHigh
0.000.0213.74
Details
Intrinsic
Valuation
LowRealHigh
0.000.0213.74
Details

Other Forecasting Options for China Food

For every potential investor in China, whether a beginner or expert, China Food's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. China Pink Sheet 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 Food's price trends.

China Food 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 Food pink sheet to make a market-neutral strategy. Peer analysis of China Food could also be used in its relative valuation, which is a method of valuing China Food by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

China Food 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 China Food'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 Food's current price.

China Food Market Strength Events

Market strength indicators help investors to evaluate how China Food 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 China Food shares will generate the highest return on investment. By undertsting and applying China Food pink sheet market strength indicators, traders can identify China Food and entry and exit signals to maximize returns.

China Food Risk Indicators

The analysis of China Food'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 Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting china 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.
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.

Currently Active Assets on Macroaxis

Other Information on Investing in China Pink Sheet

China Food financial ratios help investors to determine whether China 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 China with respect to the benefits of owning China Food security.