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.
Chemicals Makers Idea
Chemicals Makers
Invested over 70 shares
Macroaxis Index Idea
Macroaxis Index
Invested over 20 shares
Driverless Cars Idea
Driverless Cars
Invested few shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 50 shares
Hedge Favorites Idea
Hedge Favorites
Invested few shares
Momentum Idea
Momentum
Invested over 200 shares
ESG Investing Idea
ESG Investing
Invested few shares
Investor Favorites Idea
Investor Favorites
Invested over 20 shares
Power Assets Idea
Power Assets
Invested over 200 shares
Macroaxis Picks Idea
Macroaxis Picks
Invested few 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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