Cue Health Stock Forecast - Polynomial Regression

The Polynomial Regression forecasted value of Cue Health on the next trading day is expected to be -0.03 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.50. Cue Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Cue Health's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Cue Health polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Cue Health as well as the accuracy indicators are determined from the period prices.

Cue Health Polynomial Regression Price Forecast For the 3rd of February

Given 90 days horizon, the Polynomial Regression forecasted value of Cue Health on the next trading day is expected to be -0.03 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.50.
Please note that although there have been many attempts to predict Cue 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 Cue Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cue Health Stock 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 Cue Health stock data series using in forecasting. Note that when a statistical model is used to represent Cue Health 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 Criteria109.0942
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0082
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.5
A single variable polynomial regression model attempts to put a curve through the Cue Health 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 Cue Health

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cue Health. 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 Cue Health'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.
Hype
Prediction
LowEstimatedHigh
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.020.080.19
Details

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Check out Risk vs Return Analysis 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 estimate.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

Other Consideration for investing in Cue Stock

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