Test Research Stock Forecast - Triple Exponential Smoothing

3030 Stock  TWD 124.50  1.00  0.81%   
The Triple Exponential Smoothing forecasted value of Test Research on the next trading day is expected to be 124.11 with a mean absolute deviation of 3.03 and the sum of the absolute errors of 181.72. Test Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Test Research - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Test Research prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Test Research price movement. However, neither of these exponential smoothing models address any seasonality of Test Research.

Test Research Triple Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Test Research on the next trading day is expected to be 124.11 with a mean absolute deviation of 3.03, mean absolute percentage error of 16.35, and the sum of the absolute errors of 181.72.
Please note that although there have been many attempts to predict Test 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 Test Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Test Research Stock Forecast Pattern

Backtest Test ResearchTest Research Price PredictionBuy or Sell Advice 

Test Research Forecasted Value

In the context of forecasting Test Research'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. Test Research's downside and upside margins for the forecasting period are 121.33 and 126.88, respectively. We have considered Test Research'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
124.50
121.33
Downside
124.11
Expected Value
126.88
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Test Research stock data series using in forecasting. Note that when a statistical model is used to represent Test Research 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 CriteriaHuge
BiasArithmetic mean of the errors 0.6862
MADMean absolute deviation3.0287
MAPEMean absolute percentage error0.0219
SAESum of the absolute errors181.7196
As with simple exponential smoothing, in triple exponential smoothing models past Test Research observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Test Research observations.

Predictive Modules for Test Research

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Test Research. 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
121.73124.50127.27
Details
Intrinsic
Valuation
LowRealHigh
111.64114.41136.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
121.35134.23147.11
Details

Other Forecasting Options for Test Research

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

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

Test Research 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 Test Research'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 Test Research's current price.

Test Research Market Strength Events

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

Test Research Risk Indicators

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

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