Compare Pb Ratio 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.
Cross Equities Pb Ratio Analysis
Compare Okta Inc, and Thunderstruck Resources Pb Ratio Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OKTA | 57.1558 | 57.1558 | 57.1558 | 57.1558 | 57.1558 | 45.5033 | (136) | 12.2628 | 35.1124 | 37.0306 | 48.8233 | 4.9468 | 2.1281 | 2.2969 | 2.18 |
AWE | 0.6322 | 0.6322 | 1.5955 | 1.8372 | 2.023 | 2.5473 | 2.2799 | 2.5046 | 2.5046 | 2.2416 | 2.1558 | 2.8794 | 2.0834 | 0.3624 | 0.34 |
Okta Inc, and Thunderstruck Resources Pb Ratio description
Use Investing Themes to Complement your positions
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Oil And Gas Thematic Idea Now
Oil And Gas
Companies involved in drilling, production, and distribution of oil and gas pipelines. The Oil And Gas theme has 44 constituents at this time.
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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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