China Food Pink Sheet Forecast - Simple Regression
| CHIF Stock | USD 0.0001 0.00 0.00% |
The Simple Regression forecasted value of China Food and on the next trading day is expected to be -0.0046 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.16. 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.
As of 25th of January 2026 the relative strength index (rsi) of China Food's share price is below 20 suggesting 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 China Food hype-based prediction, you can estimate the value of China Food and from the perspective of China Food response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of China Food and on the next trading day is expected to be -0.0046 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.16. China Food after-hype prediction price | USD 9.2E-5 |
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.
China |
China Food Additional Predictive Modules
Most predictive techniques to examine China price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for China using various technical indicators. When you analyze China 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 |
China Food Simple Regression Price Forecast For the 26th of January
Given 90 days horizon, the Simple Regression forecasted value of China Food and on the next trading day is expected to be -0.0046 with a mean absolute deviation of 0, mean absolute percentage error of 0.000011, and the sum of the absolute errors of 0.16.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
| Backtest China Food | China Food Price Prediction | Buy or Sell Advice |
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 0.000001 and 127.02, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression 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.| AIC | Akaike Information Criteria | 106.6483 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0026 |
| MAPE | Mean absolute percentage error | 8.0422 |
| SAE | Sum of the absolute errors | 0.1561 |
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.China Food After-Hype Price Prediction Density Analysis
As far as predicting the price of China Food 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 China Food 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 China Food, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
China Food Estimiated After-Hype Price Volatility
In the context of predicting China Food's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on China Food's historical news coverage. China Food's after-hype downside and upside margins for the prediction period are 0.00 and 50.01, respectively. We have considered China Food'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
China Food is out of control at this time. Analysis and calculation of next after-hype price of China Food is based on 3 months time horizon.
China Food Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as China Food is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading China Food 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 China Food, 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 |
11.37 | 127.03 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0001 | 0.000092 | 7.97 |
|
China Food Hype Timeline
China Food is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. China is forecasted to decline in value after the next headline, with the price expected to drop to 9.2E-5. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -7.97%, whereas the daily expected return is currently at 11.37%. The volatility of related hype on China Food is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 0.02. China Food had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of China Food to cross-verify your projections.China Food Related Hype Analysis
Having access to credible news sources related to China Food's direct competition is more important than ever and may enhance your ability to predict China Food's future price movements. Getting to know how China Food'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 China Food may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CCWF | Church Crawford | 0.00 | 0 per month | 0.00 | (0.05) | 19.05 | (23.08) | 67.25 | |
| FBDS | Fuss Brands Corp | 0.00 | 0 per month | 0.00 | (0.15) | 0.00 | 0.00 | 17.01 | |
| PUGE | Puget Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SRBT | Shanrong Biotechnology Corp | 0.00 | 0 per month | 8.56 | 0.04 | 7.69 | (7.69) | 133.33 | |
| APSI | Aqua Power Systems | 0.00 | 0 per month | 0.00 | (0.02) | 13.45 | (10.71) | 36.86 | |
| CLOW | Cloudweb | 0.00 | 0 per month | 4.09 | 0.04 | 5.88 | (10.00) | 63.68 | |
| FCIC | FCCC Inc | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 100.00 | |
| AGIN | American Graphite Technologies | 0.00 | 0 per month | 0.00 | (0.05) | 21.88 | (24.53) | 69.90 | |
| APHD | Verde Bio Holdings | 0.00 | 0 per month | 19.59 | 0.18 | 70.00 | (55.68) | 1,080 | |
| CBIA | Canopus BioPharma Incorporated | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
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 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.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
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.
| Mean Deviation | 31.38 | |||
| Standard Deviation | 128.04 | |||
| Variance | 16394.57 |
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 China Food
The number of cover stories for China Food depends on current market conditions and China Food's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that China Food 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 China Food'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 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.