China Water Pink Sheet Forecast - Polynomial Regression

CWAFFDelisted Stock  USD 0.71  0.00  0.00%   
The Polynomial Regression forecasted value of China Water Affairs on the next trading day is expected to be 0.71 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. China Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of China Water's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
China Water polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for China Water Affairs as well as the accuracy indicators are determined from the period prices.

China Water Polynomial Regression Price Forecast For the 20th of January

Given 90 days horizon, the Polynomial Regression forecasted value of China Water Affairs on the next trading day is expected to be 0.71 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
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 Water's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Water Pink Sheet Forecast Pattern

Backtest China WaterChina Water Price PredictionBuy or Sell Advice 

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 Water pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Water 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.
AICAkaike Information Criteria50.7508
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the China Water historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for China Water

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 Water Affairs. 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.
Hype
Prediction
LowEstimatedHigh
0.710.710.71
Details
Intrinsic
Valuation
LowRealHigh
0.600.600.78
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as China Water. Your research has to be compared to or analyzed against China Water's peers to derive any actionable benefits. When done correctly, China Water's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in China Water Affairs.

China Water 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 Water pink sheet to make a market-neutral strategy. Peer analysis of China Water could also be used in its relative valuation, which is a method of valuing China Water by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

China Water Market Strength Events

Market strength indicators help investors to evaluate how China Water 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 Water shares will generate the highest return on investment. By undertsting and applying China Water pink sheet market strength indicators, traders can identify China Water Affairs entry and exit signals to maximize returns.

Currently Active Assets on Macroaxis

Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census.
You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

Other Consideration for investing in China Pink Sheet

If you are still planning to invest in China Water Affairs check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the China Water's history and understand the potential risks before investing.
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