Compare Net Income Per Share 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 Net Income Per Share Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
WKHS | (4.0E-4) | (2.3189) | (0.8553) | (0.7549) | (1.4435) | (2.059) | (15.5198) | (21.7976) | (14.4914) | (20.4992) | 15.0264 | (62.3806) | (13.3016) | (11.9559) | (12.55) |
GOEV | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (0.0018) | (118) | (18.7158) | (24.6095) | (39.7593) | (12.0557) | (12.66) |
VEV | (0.1315) | (0.2384) | (0.1944) | (0.3499) | (0.237) | (0.1799) | (0.0149) | (0.0149) | 0.029 | (0.1575) | (0.402) | (0.2375) | (0.4527) | (0.4923) | (0.52) |
BLBD | 0.3247 | 0.3247 | 0.3247 | 0.3247 | (1.1337) | 0.3247 | (1.3411) | (1.3411) | (1.3411) | (1.3411) | (1.3411) | (1.3411) | 3.2707 | 3.2707 | (1.1337) |
LI | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (0.8466) | (1.3049) | (0.1908) | (0.1734) | (1.0469) | 11.0966 | 11.65 |
MULN | (389.7 K) | (265.1 K) | (1.8 M) | (3.8 M) | (544.4 K) | (2.6 M) | (2.3 M) | (113.4 K) | (28.7 K) | (245.7 K) | (284.6 K) | (59.9 K) | (158.6 K) | (28.7 K) | (30.1 K) |
FFIE | (844) | (844) | (844) | (844) | (844) | (844) | (844) | (844) | (844) | (844) | (225) | (735) | (15.7 K) | (1.8 K) | (1.9 K) |
GP | (0.0679) | (0.121) | (0.121) | (0.1716) | (0.3058) | (0.1539) | (0.2261) | (0.2105) | (0.3402) | (0.4783) | (0.5208) | (0.7238) | (0.6515) | (0.7352) | (0.77) |
Workhorse Group, Canoo Inc, and Vicinity Motor Corp Net Income Per Share description
Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Complementary Tools
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |