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| ARGT | Global X MSCI | ETF |
| BAC | Bank of America | |
| DD | Dupont De Nemours | |
| F | Ford Motor | |
| WD | Walker Dunlop | |
| GOOG | Alphabet Inc Class C |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |