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Additional Predictive Modules

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.
ESG Investing Idea
ESG Investing
Invested few shares
Robots And Drones Idea
Robots And Drones
Invested over 60 shares
Cash Cows Idea
Cash Cows
Invested one share
Giant Impact Idea
Giant Impact
Invested over 40 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested over 300 shares
IT Idea
IT
Invested over 100 shares
Macroaxis Index Idea
Macroaxis Index
Invested over 60 shares
Momentum Idea
Momentum
Invested one share
Power Assets Idea
Power Assets
Invested over 200 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

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