China Foods Pink Sheet Forecast - Simple Exponential Smoothing
| CHFHF Stock | USD 0.01 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of China Foods Limited on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. China Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of China Foods' historical fundamentals, such as revenue growth or operating cash flow patterns.
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China Foods Simple Exponential Smoothing Price Forecast For the 2nd of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of China Foods Limited on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.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 Foods' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Foods Pink Sheet Forecast Pattern
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China Foods Forecasted Value
In the context of forecasting China Foods' 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 Foods' downside and upside margins for the forecasting period are 0.01 and 0.01, respectively. We have considered China Foods' 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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of China Foods pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Foods 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 | -9.223372036854776E14 |
| 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 Foods
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 Foods Limited. 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 China Foods
For every potential investor in China, whether a beginner or expert, China Foods' 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 Foods' price trends.China Foods 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 Foods pink sheet to make a market-neutral strategy. Peer analysis of China Foods could also be used in its relative valuation, which is a method of valuing China Foods by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
China Foods Limited 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 Foods' 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 Foods' current price.| Cycle Indicators | ||
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China Foods Market Strength Events
Market strength indicators help investors to evaluate how China Foods 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 Foods shares will generate the highest return on investment. By undertsting and applying China Foods pink sheet market strength indicators, traders can identify China Foods Limited entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0117 | |||
| Day Typical Price | 0.0117 |
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Other Information on Investing in China Pink Sheet
China Foods 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 Foods security.