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| C | Citigroup | Company |
| C-PN | Citigroup Capital XIII | Company |
| CAF | Morgan Stanley China | Fund |
| CA | Xtrackers California Municipal | ETF |
| CPQ | ISE Cloud Computing | Index |
| CV | CV | Cryptocurrency |
| C4R803AH9 | HBMCN 45 01 APR 26 | Corporate Bond |
| CTUSX | Cotton | Commodity |
| BAC | Bank of America | |
| DD | Dupont De Nemours | |
| F | Ford Motor | |
| WD | Walker Dunlop | |
| GOOG | Alphabet Inc Class C |
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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)
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