CN YANGTPWR Stock Forecast - 8 Period Moving Average

CYZB Stock  EUR 33.60  0.20  0.60%   
The 8 Period Moving Average forecasted value of CN YANGTPWR GDR on the next trading day is expected to be 33.52 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 41.93. CYZB Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CN YANGTPWR's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for CN YANGTPWR is based on an artificially constructed time series of CN YANGTPWR daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

CN YANGTPWR 8 Period Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of CN YANGTPWR GDR on the next trading day is expected to be 33.52 with a mean absolute deviation of 0.79, mean absolute percentage error of 1.36, and the sum of the absolute errors of 41.93.
Please note that although there have been many attempts to predict CYZB 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 CN YANGTPWR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CN YANGTPWR Stock Forecast Pattern

Backtest CN YANGTPWRCN YANGTPWR Price PredictionBuy or Sell Advice 

CN YANGTPWR Forecasted Value

In the context of forecasting CN YANGTPWR'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. CN YANGTPWR's downside and upside margins for the forecasting period are 30.17 and 36.88, respectively. We have considered CN YANGTPWR'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
33.60
33.52
Expected Value
36.88
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of CN YANGTPWR stock data series using in forecasting. Note that when a statistical model is used to represent CN YANGTPWR 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.
AICAkaike Information Criteria103.7123
BiasArithmetic mean of the errors 0.1175
MADMean absolute deviation0.791
MAPEMean absolute percentage error0.0224
SAESum of the absolute errors41.925
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. CN YANGTPWR GDR 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for CN YANGTPWR

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CN YANGTPWR GDR. 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.
Hype
Prediction
LowEstimatedHigh
30.2433.6036.96
Details
Intrinsic
Valuation
LowRealHigh
26.1229.4836.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CN YANGTPWR. Your research has to be compared to or analyzed against CN YANGTPWR's peers to derive any actionable benefits. When done correctly, CN YANGTPWR'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 CN YANGTPWR GDR.

Other Forecasting Options for CN YANGTPWR

For every potential investor in CYZB, whether a beginner or expert, CN YANGTPWR's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CYZB Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CYZB. Basic forecasting techniques help filter out the noise by identifying CN YANGTPWR's price trends.

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

CN YANGTPWR GDR 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 CN YANGTPWR'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 CN YANGTPWR's current price.

CN YANGTPWR Market Strength Events

Market strength indicators help investors to evaluate how CN YANGTPWR stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CN YANGTPWR shares will generate the highest return on investment. By undertsting and applying CN YANGTPWR stock market strength indicators, traders can identify CN YANGTPWR GDR entry and exit signals to maximize returns.

CN YANGTPWR Risk Indicators

The analysis of CN YANGTPWR'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 CN YANGTPWR's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cyzb 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.
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.

Currently Active Assets on Macroaxis

Other Information on Investing in CYZB Stock

CN YANGTPWR financial ratios help investors to determine whether CYZB Stock 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 CYZB with respect to the benefits of owning CN YANGTPWR security.