China Marine Pink Sheet Forecast - Polynomial Regression
| CMFO Stock | USD 0.01 0 29.17% |
The Polynomial Regression forecasted value of China Marine Food on the next trading day is expected to be 0.01 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.
The relative strength index (RSI) of China Marine's pink sheet price is about 63 suggesting that the pink sheet is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling China, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Using China Marine hype-based prediction, you can estimate the value of China Marine Food from the perspective of China Marine response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of China Marine Food on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0008 and the sum of the absolute errors of 0.05. China Marine after-hype prediction price | USD 0.008162 |
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 Marine 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 Marine Polynomial Regression Price Forecast For the 10th of January
Given 90 days horizon, the Polynomial Regression forecasted value of China Marine Food on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0008, mean absolute percentage error of 0.00000236, 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 Marine's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Marine Pink Sheet Forecast Pattern
| Backtest China Marine | China Marine Price Prediction | Buy or Sell Advice |
China Marine Forecasted Value
In the context of forecasting China Marine'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 Marine's downside and upside margins for the forecasting period are 0.000062 and 18.13, respectively. We have considered China Marine'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of China Marine pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Marine 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 | 106.9915 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.0E-4 |
| MAPE | Mean absolute percentage error | 0.1372 |
| SAE | Sum of the absolute errors | 0.0518 |
Predictive Modules for China Marine
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 Marine 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.Other Forecasting Options for China Marine
For every potential investor in China, whether a beginner or expert, China Marine'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 Marine's price trends.China Marine 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 Marine pink sheet to make a market-neutral strategy. Peer analysis of China Marine could also be used in its relative valuation, which is a method of valuing China Marine by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
China Marine 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 Marine'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 Marine's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
China Marine Market Strength Events
Market strength indicators help investors to evaluate how China Marine 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 Marine shares will generate the highest return on investment. By undertsting and applying China Marine pink sheet market strength indicators, traders can identify China Marine Food entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.29 | |||
| Day Median Price | 0.0062 | |||
| Day Typical Price | 0.0062 | |||
| Price Action Indicator | 7.0E-4 | |||
| Period Momentum Indicator | 0.0014 | |||
| Relative Strength Index | 63.59 |
China Marine Risk Indicators
The analysis of China Marine'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 Marine'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 | 6.82 | |||
| Standard Deviation | 17.98 | |||
| Variance | 323.27 |
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.
Pair Trading with China Marine
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if China Marine position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in China Marine will appreciate offsetting losses from the drop in the long position's value.Moving against China Pink Sheet
| 0.44 | VZ | Verizon Communications | PairCorr |
| 0.4 | TLKMF | Telkom Indonesia Tbk | PairCorr |
| 0.32 | TRV | The Travelers Companies | PairCorr |
The ability to find closely correlated positions to China Marine could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace China Marine when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back China Marine - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling China Marine Food to buy it.
The correlation of China Marine is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as China Marine moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Marine Food moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for China Marine can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in China Pink Sheet
China Marine 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 Marine security.