Universal Stock Forecast - 20 Period Moving Average

1325 Stock  TWD 26.95  0.05  0.19%   
The 20 Period Moving Average forecasted value of Universal on the next trading day is expected to be 27.58 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 14.42. Universal Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Universal is based on a synthetically constructed Universaldaily 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.

Universal 20 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Universal on the next trading day is expected to be 27.58 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.21, and the sum of the absolute errors of 14.42.
Please note that although there have been many attempts to predict Universal 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 Universal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Universal Stock Forecast Pattern

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Universal Forecasted Value

In the context of forecasting Universal'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. Universal's downside and upside margins for the forecasting period are 26.08 and 29.07, respectively. We have considered Universal'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
26.95
27.58
Expected Value
29.07
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 Universal stock data series using in forecasting. Note that when a statistical model is used to represent Universal 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 Criteria79.8085
BiasArithmetic mean of the errors 0.028
MADMean absolute deviation0.3517
MAPEMean absolute percentage error0.0127
SAESum of the absolute errors14.42
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. Universal 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Universal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Universal. 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
25.4626.9528.44
Details
Intrinsic
Valuation
LowRealHigh
25.8227.3128.80
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.6027.5128.41
Details

Other Forecasting Options for Universal

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

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

Universal 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 Universal'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 Universal's current price.

Universal Market Strength Events

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

Universal Risk Indicators

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

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