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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)
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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Complementary Tools
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas |