Chung Fu Stock Forecast - Simple Moving Average

1435 Stock  TWD 41.00  0.00  0.00%   
The Simple Moving Average forecasted value of Chung Fu Tex International on the next trading day is expected to be 41.00 with a mean absolute deviation of 0.80 and the sum of the absolute errors of 47.20. Chung Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for Chung Fu is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Chung Fu Simple Moving Average Price Forecast For the 16th of December 2024

Given 90 days horizon, the Simple Moving Average forecasted value of Chung Fu Tex International on the next trading day is expected to be 41.00 with a mean absolute deviation of 0.80, mean absolute percentage error of 1.38, and the sum of the absolute errors of 47.20.
Please note that although there have been many attempts to predict Chung 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 Chung Fu's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chung Fu Stock Forecast Pattern

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Chung Fu Forecasted Value

In the context of forecasting Chung Fu'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. Chung Fu's downside and upside margins for the forecasting period are 38.38 and 43.62, respectively. We have considered Chung Fu'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
41.00
41.00
Expected Value
43.62
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Chung Fu stock data series using in forecasting. Note that when a statistical model is used to represent Chung Fu 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 Criteria114.7583
BiasArithmetic mean of the errors 0.122
MADMean absolute deviation0.8
MAPEMean absolute percentage error0.0179
SAESum of the absolute errors47.2
The simple moving average model is conceptually a linear regression of the current value of Chung Fu Tex International price series against current and previous (unobserved) value of Chung Fu. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Chung Fu

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chung Fu Tex. 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
38.3841.0043.62
Details
Intrinsic
Valuation
LowRealHigh
33.1735.7945.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
39.0942.0244.96
Details

Other Forecasting Options for Chung Fu

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

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

Chung Fu Tex 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 Chung Fu'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 Chung Fu's current price.

Chung Fu Market Strength Events

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

Chung Fu Risk Indicators

The analysis of Chung Fu'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 Chung Fu's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chung 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Chung Stock Analysis

When running Chung Fu's price analysis, check to measure Chung Fu'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 Chung Fu is operating at the current time. Most of Chung Fu's value examination focuses on studying past and present price action to predict the probability of Chung Fu's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chung Fu's price. Additionally, you may evaluate how the addition of Chung Fu to your portfolios can decrease your overall portfolio volatility.