China Power Pink Sheet Forecast - Double Exponential Smoothing

CPQQ Stock  USD 0.01  0.00  0.00%   
The Double Exponential Smoothing forecasted value of China Power Equipment on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. China Pink Sheet Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for China Power works best with periods where there are trends or seasonality.

China Power Double Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of China Power Equipment on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
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 Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Power Pink Sheet Forecast Pattern

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China Power Forecasted Value

In the context of forecasting China Power'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 Power's downside and upside margins for the forecasting period are 0.01 and 0.01, respectively. We have considered China Power'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.
Market Value
0.01
0.01
Expected Value
0.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of China Power pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Power 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 CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
When China Power Equipment prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any China Power Equipment trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent China Power observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for China Power

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 Power Equipment. 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
0.000.010.01
Details
Intrinsic
Valuation
LowRealHigh
0.0000.01
Details

Other Forecasting Options for China Power

For every potential investor in China, whether a beginner or expert, China Power'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 Power's price trends.

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

China Power Equipment 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 Power'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 Power's current price.

China Power Market Strength Events

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

Pair Trading with China Power

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 Power 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 Power will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to China Power 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 Power 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 Power - 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 Power Equipment to buy it.
The correlation of China Power 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 Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Power Equipment 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 Power 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.
Pair CorrelationCorrelation Matching

Additional Tools for China Pink Sheet Analysis

When running China Power's price analysis, check to measure China Power'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 Power is operating at the current time. Most of China Power's value examination focuses on studying past and present price action to predict the probability of China Power'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 Power's price. Additionally, you may evaluate how the addition of China Power to your portfolios can decrease your overall portfolio volatility.