Compare Graham Number 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 Graham Number Analysis
Compare INGEVITY P 3875, and Sprott Focus Trust Graham Number Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FUND | 16.696 | 16.696 | 16.696 | 16.696 | 1.6914 | 11.7583 | 17.0284 | 17.0609 | 15.3332 | 19.586 | 9.0042 | 18.8765 | 2.2748 | 13.5845 | 14.29 |
INGEVITY P 3875, and Sprott Focus Trust Graham Number description
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. | Investor Favorites Invested over 40 shares | |
 | Dividend Beast Invested over 50 shares | |
 | Automobiles and Trucks Invested over 50 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | FinTech Invested over 40 shares | |
 | Macroaxis Picks Invested few shares | |
 | Impulse Invested few shares | |
 | Macroaxis Index Invested few shares | |
 | Millennials Best Invested few shares | |
 | Technology 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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