WeWin Diversification Stock Forecast - Polynomial Regression
| 4113 Stock | TWD 47.65 1.45 3.14% |
The Polynomial Regression forecasted value of WeWin Diversification Co on the next trading day is expected to be 49.44 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 71.08. WeWin Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast WeWin Diversification stock prices and determine the direction of WeWin Diversification Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of WeWin Diversification's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of WeWin Diversification to cross-verify your projections. WeWin |
Most investors in WeWin Diversification 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 WeWin Diversification's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets WeWin Diversification's price structures and extracts relationships that further increase the generated results' accuracy.
WeWin Diversification polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for WeWin Diversification Co as well as the accuracy indicators are determined from the period prices. WeWin Diversification Polynomial Regression Price Forecast For the 30th of April
Given 90 days horizon, the Polynomial Regression forecasted value of WeWin Diversification Co on the next trading day is expected to be 49.44 with a mean absolute deviation of 1.17, mean absolute percentage error of 2.39, and the sum of the absolute errors of 71.08.Please note that although there have been many attempts to predict WeWin 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 WeWin Diversification's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
WeWin Diversification Stock Forecast Pattern
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WeWin Diversification Forecasted Value
In the context of forecasting WeWin Diversification'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. WeWin Diversification's downside and upside margins for the forecasting period are 46.81 and 52.07, respectively. We have considered WeWin Diversification'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.
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 WeWin Diversification stock data series using in forecasting. Note that when a statistical model is used to represent WeWin Diversification 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 | 118.9832 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1652 |
| MAPE | Mean absolute percentage error | 0.0302 |
| SAE | Sum of the absolute errors | 71.0775 |
Predictive Modules for WeWin Diversification
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WeWin Diversification. 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 WeWin Diversification's 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 WeWin Diversification
For every potential investor in WeWin, whether a beginner or expert, WeWin Diversification's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. WeWin Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in WeWin. Basic forecasting techniques help filter out the noise by identifying WeWin Diversification's price trends.WeWin Diversification 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 WeWin Diversification stock to make a market-neutral strategy. Peer analysis of WeWin Diversification could also be used in its relative valuation, which is a method of valuing WeWin Diversification by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
WeWin Diversification 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 WeWin Diversification'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 WeWin Diversification's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
WeWin Diversification Market Strength Events
Market strength indicators help investors to evaluate how WeWin Diversification stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading WeWin Diversification shares will generate the highest return on investment. By undertsting and applying WeWin Diversification stock market strength indicators, traders can identify WeWin Diversification Co entry and exit signals to maximize returns.
| Accumulation Distribution | 51011.1 | |||
| Daily Balance Of Power | 0.8529 | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 46.8 | |||
| Day Typical Price | 47.08 | |||
| Price Action Indicator | 1.57 | |||
| Period Momentum Indicator | 1.45 |
WeWin Diversification Risk Indicators
The analysis of WeWin Diversification'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 WeWin Diversification's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wewin 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 | 1.69 | |||
| Semi Deviation | 1.84 | |||
| Standard Deviation | 2.5 | |||
| Variance | 6.27 | |||
| Downside Variance | 7.81 | |||
| Semi Variance | 3.39 | |||
| Expected Short fall | (1.98) |
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
Explore Investment Opportunities
Check out Historical Fundamental Analysis of WeWin Diversification to cross-verify your projections. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Complementary Tools for WeWin Stock analysis
When running WeWin Diversification's price analysis, check to measure WeWin Diversification'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 WeWin Diversification is operating at the current time. Most of WeWin Diversification's value examination focuses on studying past and present price action to predict the probability of WeWin Diversification's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WeWin Diversification's price. Additionally, you may evaluate how the addition of WeWin Diversification to your portfolios can decrease your overall portfolio volatility.
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