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Technical Analysis Modules


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)
Fix your portfolio
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.

Other Complementary Tools

Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation