Marcelo Portela - Corporate Insider
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |