Wilhelmina OTC Stock Forecast - 4 Period Moving Average

WHLMDelisted Stock  USD 3.51  0.00  0.00%   
The 4 Period Moving Average forecasted value of Wilhelmina on the next trading day is expected to be 3.52 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.16. Wilhelmina OTC Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Wilhelmina is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Wilhelmina 4 Period Moving Average Price Forecast For the 2nd of February

Given 90 days horizon, the 4 Period Moving Average forecasted value of Wilhelmina on the next trading day is expected to be 3.52 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.05, and the sum of the absolute errors of 9.16.
Please note that although there have been many attempts to predict Wilhelmina OTC 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 Wilhelmina's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wilhelmina OTC Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Wilhelmina otc stock data series using in forecasting. Note that when a statistical model is used to represent Wilhelmina otc 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 Criteria107.7369
BiasArithmetic mean of the errors 0.0176
MADMean absolute deviation0.1607
MAPEMean absolute percentage error0.045
SAESum of the absolute errors9.1575
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Wilhelmina. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Wilhelmina and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Wilhelmina

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wilhelmina. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
0.183.518.55
Details
Intrinsic
Valuation
LowRealHigh
0.153.048.08
Details

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 Risk & Return  Correlation

Wilhelmina Market Strength Events

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

Wilhelmina Risk Indicators

The analysis of Wilhelmina'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 Wilhelmina's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wilhelmina otc 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.

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Other Consideration for investing in Wilhelmina OTC Stock

If you are still planning to invest in Wilhelmina 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 Wilhelmina's history and understand the potential risks before investing.
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