Tai Tung Stock Forecast - 20 Period Moving Average

8011 Stock  TWD 24.80  0.65  2.69%   
The 20 Period Moving Average forecasted value of Tai Tung Communication on the next trading day is expected to be 25.81 with a mean absolute deviation of 1.09 and the sum of the absolute errors of 44.64. Tai Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Tai Tung Communication is based on a synthetically constructed Tai Tungdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Tai Tung 20 Period Moving Average Price Forecast For the 21st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Tai Tung Communication on the next trading day is expected to be 25.81 with a mean absolute deviation of 1.09, mean absolute percentage error of 1.64, and the sum of the absolute errors of 44.64.
Please note that although there have been many attempts to predict Tai 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 Tai Tung's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tai Tung Stock Forecast Pattern

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Tai Tung Forecasted Value

In the context of forecasting Tai Tung'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. Tai Tung's downside and upside margins for the forecasting period are 23.38 and 28.24, respectively. We have considered Tai Tung'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
24.80
25.81
Expected Value
28.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Tai Tung stock data series using in forecasting. Note that when a statistical model is used to represent Tai Tung 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 Criteria81.85
BiasArithmetic mean of the errors 0.4639
MADMean absolute deviation1.0887
MAPEMean absolute percentage error0.0413
SAESum of the absolute errors44.635
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. Tai Tung Communication 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Tai Tung

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tai Tung Communication. 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
21.7324.1526.57
Details
Intrinsic
Valuation
LowRealHigh
19.0421.4626.57
Details
Bollinger
Band Projection (param)
LowMiddleHigh
23.6726.7229.76
Details

Other Forecasting Options for Tai Tung

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

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

Tai Tung Communication 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 Tai Tung'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 Tai Tung's current price.

Tai Tung Market Strength Events

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

Tai Tung Risk Indicators

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

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