China Everbright Pink Sheet Forecast - Polynomial Regression
| CHFFF Stock | USD 0.39 0.00 0.00% |
The Polynomial Regression forecasted value of China Everbright Environment on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.65. China Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast China Everbright stock prices and determine the direction of China Everbright Environment's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of China Everbright's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of China Everbright to cross-verify your projections. China |
Most investors in China Everbright cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the China Everbright's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets China Everbright's price structures and extracts relationships that further increase the generated results' accuracy.
China Everbright polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for China Everbright Environment as well as the accuracy indicators are determined from the period prices. China Everbright Polynomial Regression Price Forecast For the 25th of April
Given 90 days horizon, the Polynomial Regression forecasted value of China Everbright Environment on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.65.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 Everbright's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
China Everbright Pink Sheet Forecast Pattern
| Backtest China Everbright | China Everbright Price Prediction | Buy or Sell Advice |
China Everbright Forecasted Value
In the context of forecasting China Everbright'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 Everbright's downside and upside margins for the forecasting period are 0 and 2.91, respectively. We have considered China Everbright'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 Everbright pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Everbright 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 | 109.5303 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0107 |
| MAPE | Mean absolute percentage error | 0.0299 |
| SAE | Sum of the absolute errors | 0.6501 |
Predictive Modules for China Everbright
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 Everbright Env. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Everbright'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 China Everbright
For every potential investor in China, whether a beginner or expert, China Everbright'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 Everbright's price trends.China Everbright 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 Everbright pink sheet to make a market-neutral strategy. Peer analysis of China Everbright could also be used in its relative valuation, which is a method of valuing China Everbright by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
China Everbright Env 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 Everbright'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 Everbright's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
China Everbright Market Strength Events
Market strength indicators help investors to evaluate how China Everbright 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 Everbright shares will generate the highest return on investment. By undertsting and applying China Everbright pink sheet market strength indicators, traders can identify China Everbright Environment entry and exit signals to maximize returns.
China Everbright Risk Indicators
The analysis of China Everbright'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 Everbright'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 | 0.8668 | |||
| Standard Deviation | 2.45 | |||
| Variance | 5.99 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards China Everbright in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, China Everbright's short interest history, or implied volatility extrapolated from China Everbright options trading.
Pair Trading with China Everbright
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 Everbright 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 Everbright will appreciate offsetting losses from the drop in the long position's value.Moving against China Pink Sheet
| 0.84 | TLK | Telkom Indonesia Tbk Financial Report 26th of April 2024 | PairCorr |
| 0.71 | VFS | VinFast Auto Financial Report 20th of May 2024 | PairCorr |
| 0.49 | GFL | Gfl Environmental Financial Report 25th of April 2024 | PairCorr |
| 0.47 | KEP | Korea Electric Power | PairCorr |
The ability to find closely correlated positions to China Everbright 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 Everbright 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 Everbright - 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 Everbright Environment to buy it.
The correlation of China Everbright 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 Everbright moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Everbright Env 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 Everbright 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 China Everbright to cross-verify your projections. Note that the China Everbright Env information on this page should be used as a complementary analysis to other China Everbright's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for China Pink Sheet analysis
When running China Everbright's price analysis, check to measure China Everbright's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy China Everbright is operating at the current time. Most of China Everbright's value examination focuses on studying past and present price action to predict the probability of China Everbright's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Everbright's price. Additionally, you may evaluate how the addition of China Everbright to your portfolios can decrease your overall portfolio volatility.
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |