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.
Explore Investing Opportunities
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did you try this?
Run Pattern Recognition Now
Pattern RecognitionUse different Pattern Recognition models to time the market across multiple global exchanges |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |