Unknown Indicator

equity instruments simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for price are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as ###3### prices get older.
This simple exponential smoothing model begins by setting price forecast for the second period equal to the observation of the first period. In other words, recent equity instruments observations are given relatively more weight in forecasting than the older observations.

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
Compulsion Idea
Compulsion
Invested over 20 shares
Precious Metals Idea
Precious Metals
Invested over 100 shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 300 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested few shares
Momentum Idea
Momentum
Invested few shares
Business Services Idea
Business Services
Invested few shares
Investor Favorites Idea
Investor Favorites
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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