Wing Yip Stock Forecast - Simple Regression
| 900340 Stock | 1,696 90.00 5.04% |
The Simple Regression forecasted value of Wing Yip Food on the next trading day is expected to be 2,000 with a mean absolute deviation of 201.01 and the sum of the absolute errors of 12,462. Wing Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Wing Yip stock prices and determine the direction of Wing Yip Food's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Wing Yip's historical fundamentals, such as revenue growth or operating cash flow patterns.
Wing |
Wing Yip Simple Regression Price Forecast For the 28th of December
Given 90 days horizon, the Simple Regression forecasted value of Wing Yip Food on the next trading day is expected to be 2,000 with a mean absolute deviation of 201.01, mean absolute percentage error of 87,228, and the sum of the absolute errors of 12,462.Please note that although there have been many attempts to predict Wing 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 Wing Yip's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Wing Yip Stock Forecast Pattern
| Backtest Wing Yip | Wing Yip Price Prediction | Buy or Sell Advice |
Wing Yip Forecasted Value
In the context of forecasting Wing Yip'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. Wing Yip's downside and upside margins for the forecasting period are 1,992 and 2,008, respectively. We have considered Wing Yip'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Wing Yip stock data series using in forecasting. Note that when a statistical model is used to represent Wing Yip 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 | 131.3247 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 201.0051 |
| MAPE | Mean absolute percentage error | 0.0924 |
| SAE | Sum of the absolute errors | 12462.3151 |
Predictive Modules for Wing Yip
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wing Yip Food. 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.Other Forecasting Options for Wing Yip
For every potential investor in Wing, whether a beginner or expert, Wing Yip's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Wing Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Wing. Basic forecasting techniques help filter out the noise by identifying Wing Yip's price trends.Wing Yip 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 Wing Yip stock to make a market-neutral strategy. Peer analysis of Wing Yip could also be used in its relative valuation, which is a method of valuing Wing Yip by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Wing Yip Food 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 Wing Yip'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 Wing Yip's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Wing Yip Market Strength Events
Market strength indicators help investors to evaluate how Wing Yip stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Wing Yip shares will generate the highest return on investment. By undertsting and applying Wing Yip stock market strength indicators, traders can identify Wing Yip Food entry and exit signals to maximize returns.
| Accumulation Distribution | 33534.45 | |||
| Daily Balance Of Power | (1.14) | |||
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 1735.5 | |||
| Day Typical Price | 1722.33 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (84.50) | |||
| Period Momentum Indicator | (90.00) |
Wing Yip Risk Indicators
The analysis of Wing Yip'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 Wing Yip's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wing 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 | 5.22 | |||
| Semi Deviation | 6.77 | |||
| Standard Deviation | 7.67 | |||
| Variance | 58.77 | |||
| Downside Variance | 48.69 | |||
| Semi Variance | 45.81 | |||
| Expected Short fall | (5.57) |
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.
Pair Trading with Wing Yip
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Wing Yip position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Wing Yip will appreciate offsetting losses from the drop in the long position's value.Moving against Wing Stock
The ability to find closely correlated positions to Wing Yip could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Wing Yip when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Wing Yip - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Wing Yip Food to buy it.
The correlation of Wing Yip is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Wing Yip moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Wing Yip Food moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Wing Yip can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Information and Resources on Investing in Wing Stock
When determining whether Wing Yip Food is a strong investment it is important to analyze Wing Yip's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Wing Yip's future performance. For an informed investment choice regarding Wing Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Wing Yip to cross-verify your projections. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.