European Metals OTC Stock Forecast - Polynomial Regression

European Metals polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for European Metals Holdings as well as the accuracy indicators are determined from the period prices.

European Metals Polynomial Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of European Metals Holdings on the next trading day is expected to be 0.47 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.52.

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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 European Metals otc stock data series using in forecasting. Note that when a statistical model is used to represent European Metals 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. A single variable polynomial regression model attempts to put a curve through the European Metals 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 + ... + a_m*X^m

Predictive Modules for European Metals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as European Metals Holdings. 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 Low Estimated High 0.55 0.55 0.55 Details

Intrinsic Valuation Low Real High 0.45 0.45 0.61 Details

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