Unknown Indicator

equity instruments polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for price 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 equity instruments 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

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Cancer Fighters Idea
Cancer Fighters
Invested over 90 shares
Air Idea
Air
Invested over 400 shares
Macroaxis Index Idea
Macroaxis Index
Invested over 200 shares
Gold and Gold Mining Idea
Gold and Gold Mining
Invested over 20 shares
Precious Metals Idea
Precious Metals
Invested over 100 shares
Investor Favorites Idea
Investor Favorites
Invested over 300 shares
Momentum Idea
Momentum
Invested few shares
Adviser Favorites Idea
Adviser Favorites
Invested few shares
Power Assets Idea
Power Assets
Invested over 300 shares
Driverless Cars Idea
Driverless Cars
Invested over 60 shares
Dividend Beast Idea
Dividend Beast
Invested over 60 shares
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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