Wieson Technologies Stock Forecast - Polynomial Regression
| 6272 Stock | TWD 13.00 0.05 0.38% |
The Polynomial Regression forecasted value of Wieson Technologies Co on the next trading day is expected to be 12.16 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.85. Wieson Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Wieson Technologies stock prices and determine the direction of Wieson Technologies Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Wieson Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Wieson Technologies to cross-verify your projections. Wieson |
Most investors in Wieson Technologies cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Wieson Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Wieson Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
Wieson Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Wieson Technologies Co as well as the accuracy indicators are determined from the period prices. Wieson Technologies Polynomial Regression Price Forecast For the 4th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Wieson Technologies Co on the next trading day is expected to be 12.16 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.26, and the sum of the absolute errors of 24.85.Please note that although there have been many attempts to predict Wieson 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 Wieson Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Wieson Technologies Stock Forecast Pattern
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Wieson Technologies Forecasted Value
In the context of forecasting Wieson Technologies' 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. Wieson Technologies' downside and upside margins for the forecasting period are 8.95 and 15.36, respectively. We have considered Wieson Technologies' 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Wieson Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Wieson Technologies 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.| AIC | Akaike Information Criteria | 116.7623 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4074 |
| MAPE | Mean absolute percentage error | 0.0301 |
| SAE | Sum of the absolute errors | 24.851 |
Predictive Modules for Wieson Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wieson Technologies. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wieson Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Wieson Technologies
For every potential investor in Wieson, whether a beginner or expert, Wieson Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Wieson Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Wieson. Basic forecasting techniques help filter out the noise by identifying Wieson Technologies' price trends.Wieson Technologies 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 Wieson Technologies stock to make a market-neutral strategy. Peer analysis of Wieson Technologies could also be used in its relative valuation, which is a method of valuing Wieson Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Wieson Technologies 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 Wieson Technologies' 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 Wieson Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Wieson Technologies Market Strength Events
Market strength indicators help investors to evaluate how Wieson Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Wieson Technologies shares will generate the highest return on investment. By undertsting and applying Wieson Technologies stock market strength indicators, traders can identify Wieson Technologies Co entry and exit signals to maximize returns.
Wieson Technologies Risk Indicators
The analysis of Wieson Technologies' 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 Wieson Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wieson 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.
| Mean Deviation | 2.03 | |||
| Semi Deviation | 2.21 | |||
| Standard Deviation | 2.93 | |||
| Variance | 8.58 | |||
| Downside Variance | 7.25 | |||
| Semi Variance | 4.86 | |||
| Expected Short fall | (3.06) |
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.
Thematic Opportunities
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Check out Historical Fundamental Analysis of Wieson Technologies to cross-verify your projections. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for Wieson Stock analysis
When running Wieson Technologies' price analysis, check to measure Wieson Technologies' 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 Wieson Technologies is operating at the current time. Most of Wieson Technologies' value examination focuses on studying past and present price action to predict the probability of Wieson Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wieson Technologies' price. Additionally, you may evaluate how the addition of Wieson Technologies to your portfolios can decrease your overall portfolio volatility.
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