Compare Income Quality Across Equities
You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
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Cross Equities Income Quality Analysis
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2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SE | (0.027) | (0.027) | (0.027) | (0.027) | (0.027) | 0.2338 | 0.51 | 0.5956 | 0.5153 | (0.0479) | (0.3423) | (0.1021) | 0.6368 | 12.7838 | 13.42 |
Sea, and COCA A CO Income Quality description
An assessment of the sustainability of a company's earnings over time, considering factors like revenue source diversification and cost structure.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.FinTech Invested over 40 shares | ||
Momentum Invested over 50 shares | ||
Investor Favorites Invested over 200 shares | ||
Driverless Cars Invested over 50 shares | ||
Macroaxis Index Invested few shares | ||
Hedge Favorites Invested over 40 shares | ||
Impulse Invested few shares | ||
Trump Equities Invested few shares | ||
Blockchain Invested few 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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