Shengkai Innovations Pink Sheet Forecast - Polynomial Regression

Shengkai Innovations polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Shengkai Innovations as well as the accuracy indicators are determined from the period prices. A single variable polynomial regression model attempts to put a curve through the Shengkai Innovations 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 Shengkai Innovations

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Shengkai Innovations. 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 Low Estimated High 0.00 0.0001 0.00 Details

Intrinsic Valuation Low Real High 0.00 0.000085 0.00 Details

Shengkai Innovations Related Equities

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Shengkai Innovations Market Strength Events

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