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:

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 Recognition

Use different Pattern Recognition models to time the market across multiple global exchanges
All  Next Launch Module
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Other Complementary Tools

Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated