Chun Can Stock Forecast - Simple Regression
| CNCN Stock | USD 0.0001 0.00 0.00% |
The Simple Regression forecasted value of Chun Can Capital on the next trading day is expected to be -0.52 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 24.35. Chun Stock Forecast is based on your current time horizon.
As of today the relative strength index (rsi) of Chun Can's share price is below 20 suggesting that the stock 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 Chun Can hype-based prediction, you can estimate the value of Chun Can Capital from the perspective of Chun Can response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Chun Can Capital on the next trading day is expected to be -0.52 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 24.35. Chun Can after-hype prediction price | USD 6.1E-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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Chun Can to cross-verify your projections. Chun Can Additional Predictive Modules
Most predictive techniques to examine Chun price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Chun using various technical indicators. When you analyze Chun 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 |
Chun Can Simple Regression Price Forecast For the 5th of January
Given 90 days horizon, the Simple Regression forecasted value of Chun Can Capital on the next trading day is expected to be -0.52 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.21, and the sum of the absolute errors of 24.35.Please note that although there have been many attempts to predict Chun 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 Chun Can's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Chun Can Stock Forecast Pattern
| Backtest Chun Can | Chun Can Price Prediction | Buy or Sell Advice |
Chun Can Forecasted Value
In the context of forecasting Chun Can'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. Chun Can's downside and upside margins for the forecasting period are 0.000001 and 11.88, respectively. We have considered Chun Can'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 Chun Can stock data series using in forecasting. Note that when a statistical model is used to represent Chun Can 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 | 116.5388 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3992 |
| MAPE | Mean absolute percentage error | 2694.159 |
| SAE | Sum of the absolute errors | 24.353 |
Predictive Modules for Chun Can
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chun Can Capital. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chun Can's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Chun Can
For every potential investor in Chun, whether a beginner or expert, Chun Can's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Chun Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Chun. Basic forecasting techniques help filter out the noise by identifying Chun Can's price trends.Chun Can 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 Chun Can stock to make a market-neutral strategy. Peer analysis of Chun Can could also be used in its relative valuation, which is a method of valuing Chun Can by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Chun Can Capital 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 Chun Can'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 Chun Can's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Chun Can Market Strength Events
Market strength indicators help investors to evaluate how Chun Can stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Chun Can shares will generate the highest return on investment. By undertsting and applying Chun Can stock market strength indicators, traders can identify Chun Can Capital 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 |
Chun Can Risk Indicators
The analysis of Chun Can'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 Chun Can's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chun 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 | 3.03 | |||
| Standard Deviation | 12.4 | |||
| Variance | 153.83 |
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 Chun Can
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 Chun Can 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 Chun Can will appreciate offsetting losses from the drop in the long position's value.Moving together with Chun Stock
Moving against Chun Stock
| 0.77 | PRIM | Primorus Investments plc | PairCorr |
| 0.76 | WWH | Worldwide Healthcare | PairCorr |
| 0.63 | ANSCU | Agriculture Natural | PairCorr |
| 0.63 | DGS | Dividend Growth Split | PairCorr |
| 0.51 | MAJE | Majedie Investments | PairCorr |
The ability to find closely correlated positions to Chun Can could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chun Can 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 Chun Can - 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 Chun Can Capital to buy it.
The correlation of Chun Can 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 Chun Can moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chun Can Capital 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 Chun Can 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.Check out Historical Fundamental Analysis of Chun Can to cross-verify your projections. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Chun Can. If investors know Chun will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Chun Can listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Chun Can Capital is measured differently than its book value, which is the value of Chun that is recorded on the company's balance sheet. Investors also form their own opinion of Chun Can's value that differs from its market value or its book value, called intrinsic value, which is Chun Can's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Chun Can's market value can be influenced by many factors that don't directly affect Chun Can's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Chun Can's value and its price as these two are different measures arrived at by different means. Investors typically determine if Chun Can is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Chun Can's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.