Wake Forest Pink Sheet Forecast - Polynomial Regression

WAKEDelisted Stock  USD 32.38  0.00  0.00%   
The Polynomial Regression forecasted value of Wake Forest Bancshares on the next trading day is expected to be 37.06 with a mean absolute deviation of 2.18 and the sum of the absolute errors of 132.78. Wake Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Wake Forest stock prices and determine the direction of Wake Forest Bancshares's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Wake Forest's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Wake Forest polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Wake Forest Bancshares as well as the accuracy indicators are determined from the period prices.

Wake Forest Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Wake Forest Bancshares on the next trading day is expected to be 37.06 with a mean absolute deviation of 2.18, mean absolute percentage error of 8.35, and the sum of the absolute errors of 132.78.
Please note that although there have been many attempts to predict Wake Pink Sheet 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 Wake Forest's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wake Forest Pink Sheet Forecast Pattern

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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 Wake Forest pink sheet data series using in forecasting. Note that when a statistical model is used to represent Wake Forest pink sheet, 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 Criteria120.2333
BiasArithmetic mean of the errors None
MADMean absolute deviation2.1767
MAPEMean absolute percentage error0.1002
SAESum of the absolute errors132.7763
A single variable polynomial regression model attempts to put a curve through the Wake Forest historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Wake Forest

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wake Forest Bancshares. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
32.3832.3832.38
Details
Intrinsic
Valuation
LowRealHigh
24.2824.2835.62
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.5624.6739.78
Details

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 Risk & Return  Correlation

Wake Forest Market Strength Events

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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 industry.
You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Other Consideration for investing in Wake Pink Sheet

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