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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.
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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.![]() | Blockchain Invested few shares | |
![]() | Warren Buffett Holdings Invested few shares | |
![]() | Disruptive Technologies Invested few shares | |
![]() | Momentum Invested few shares | |
![]() | Hedge Favorites Invested over 30 shares | |
![]() | Investor Favorites Invested over 200 shares | |
![]() | Driverless Cars Invested over 200 shares | |
![]() | Dividend Beast Invested over 30 shares | |
![]() | Video Games Invested few shares | |
![]() | Synthetics Invested over 70 shares | |
Check out your portfolio center.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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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| Insider Screener Find insiders across different sectors to evaluate their impact on performance |









