Kung Sing Stock Forecast - 8 Period Moving Average

5521 Stock  TWD 10.65  0.40  3.62%   
The 8 Period Moving Average forecasted value of Kung Sing Engineering on the next trading day is expected to be 11.05 with a mean absolute deviation of 0.30 and the sum of the absolute errors of 15.69. Kung Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for Kung Sing is based on an artificially constructed time series of Kung Sing 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.

Kung Sing 8 Period Moving Average Price Forecast For the 16th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of Kung Sing Engineering on the next trading day is expected to be 11.05 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.14, and the sum of the absolute errors of 15.69.
Please note that although there have been many attempts to predict Kung 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 Kung Sing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kung Sing Stock Forecast Pattern

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Kung Sing Forecasted Value

In the context of forecasting Kung Sing'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. Kung Sing's downside and upside margins for the forecasting period are 9.32 and 12.78, respectively. We have considered Kung Sing'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
10.65
11.05
Expected Value
12.78
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 Kung Sing stock data series using in forecasting. Note that when a statistical model is used to represent Kung Sing 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 Criteria101.4703
BiasArithmetic mean of the errors 0.1151
MADMean absolute deviation0.296
MAPEMean absolute percentage error0.0251
SAESum of the absolute errors15.6875
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. Kung Sing Engineering 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Kung Sing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kung Sing Engineering. 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
8.9210.6512.38
Details
Intrinsic
Valuation
LowRealHigh
9.5511.2813.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10.7211.2311.74
Details

Other Forecasting Options for Kung Sing

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

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

Kung Sing Engineering 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 Kung Sing'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 Kung Sing's current price.

Kung Sing Market Strength Events

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

Kung Sing Risk Indicators

The analysis of Kung Sing'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 Kung Sing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kung 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 Kung Stock Analysis

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