Compare Graham Net Net 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 Net Net Analysis
Compare Ford Motor, and Qianhe CondimentFood Graham Net Net Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | (8.1856) | (17.3095) | (19.1919) | (17.6303) | (20.1063) | (20.2462) | (41.629) | (44.905) | (45.7572) | (46.6422) | (45.5789) | (38.283) | (40.2608) | (34.016) | (35.72) |
Ford Motor, and Qianhe CondimentFood Graham Net Net 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. | Banking Invested over 40 shares | |
 | Hedge Favorites Invested over 50 shares | |
 | Momentum Invested over 200 shares | |
 | Driverless Cars Invested over 50 shares | |
 | Macroaxis Index Invested few shares | |
 | Impulse Invested few shares | |
 | FinTech Invested few shares | |
 | Semiconductor 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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