Unknown Shares Owned By Institutions vs. Return On Asset
Asset symbol is not found or was delisted
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Other Suggestions
| A | Agilent Technologies | Company |
| AFGD | American Financial Group | Company |
| ACP | Aberdeen Income Credit | Fund |
| AK | AK | ETF |
| AMZ | Alerian MLP Index | Index |
| AE | AE | Cryptocurrency |
| A9890AAA8 | USA9890AAA81 | Corporate Bond |
| ALIUSD | Aluminum Futures | Commodity |
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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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. | Hedge Favorites Invested few shares | |
 | Warren Buffett Holdings Invested over 30 shares | |
 | Momentum Invested over 60 shares | |
 | Banking Invested over 30 shares | |
 | Driverless Cars Invested few shares | |
 | Cash Cows Invested few shares | |
 | Power Assets Invested over 300 shares | |
 | ESG Investing Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Disruptive Technologies Invested over 20 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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