Wang Lee Stock Forecast - Naive Prediction

WLGSDelisted Stock   0.04  0  5.58%   
The Naive Prediction forecasted value of Wang Lee Group on the next trading day is expected to be 0.06 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83. Wang Stock Forecast is based on your current time horizon.
At this time the value of rsi of Wang Lee's share price is below 20 . This entails that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Wang Lee's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Wang Lee and does not consider all of the tangible or intangible factors available from Wang Lee's fundamental data. We analyze noise-free headlines and recent hype associated with Wang Lee Group, which may create opportunities for some arbitrage if properly timed.
Using Wang Lee hype-based prediction, you can estimate the value of Wang Lee Group from the perspective of Wang Lee response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Wang Lee Group on the next trading day is expected to be 0.06 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83.

Wang Lee after-hype prediction price

    
  USD 0.044  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.

Wang Lee Additional Predictive Modules

Most predictive techniques to examine Wang price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Wang using various technical indicators. When you analyze Wang charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A naive forecasting model for Wang Lee is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Wang Lee Group value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Wang Lee Naive Prediction Price Forecast For the 10th of January

Given 90 days horizon, the Naive Prediction forecasted value of Wang Lee Group on the next trading day is expected to be 0.06 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.83.
Please note that although there have been many attempts to predict Wang 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 Wang Lee's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wang Lee Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Wang Lee stock data series using in forecasting. Note that when a statistical model is used to represent Wang Lee 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 Criteria110.174
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0136
MAPEMean absolute percentage error0.1864
SAESum of the absolute errors0.8291
This model is not at all useful as a medium-long range forecasting tool of Wang Lee Group. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Wang Lee. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Wang Lee

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wang Lee Group. 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
0.040.040.05
Details
Intrinsic
Valuation
LowRealHigh
0.040.040.05
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Wang Lee. Your research has to be compared to or analyzed against Wang Lee's peers to derive any actionable benefits. When done correctly, Wang Lee's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Wang Lee Group.

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

Wang Lee Market Strength Events

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

Thematic Opportunities

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Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.
You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

Other Consideration for investing in Wang Stock

If you are still planning to invest in Wang Lee Group check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Wang Lee's history and understand the potential risks before investing.
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