Compare Fundamental Data 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.
Specify up to 10 symbols:

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)
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
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 Anywhere module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Commodity Directory
Find actively traded commodities issued by global exchanges
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets