Analyze global markets in real time with Cripro. Optimize your decision-making with predictive models - with immediate liquidity and no holding periods.
Request a demo nowWhile others are still collecting data, Cripro is already providing validated recommendations for action. The shift from reactive to predictive portfolio management begins with the speed of the underlying analysis.
Position risks are continually recalculated as market parameters change.
Patterns in price trends are recognized before they become visible in classic analyses.
Models adapt to growing portfolio sizes without losing analytical depth.
Four steps that build on each other and generate concrete suggestions for action from global market data.
Integrating millions of global data points per second from market and news sources.
Pattern recognition using proprietary deep learning algorithms on historical and current data.
Generation of strategy suggestions with the aim of minimizing risk with defined target returns.
Implementation with a focus on maximum efficiency and consistent liquidity of the portfolio.
Cripro is aimed at professionals who work regardless of location and time zone, but expect the same standards of analysis that institutional investors use.
The platform combines machine learning models with real-time market data to support – not replace – decisions. Responsibility and the final decision always remain with the user.
Three typical constellations in which location-independent specialists use Cripro.
Capital is distributed across multiple asset classes and time zones without the need for a fixed physical presence in a financial location.
Methods that are usually reserved for fund managers are available to individual users for their own position evaluation.
Forecast models provide a basis for decision-making that can be accessed in real time regardless of the work location.
Instead of customer opinions, we show measurable key figures from the analysis infrastructure.
Join the new generation of data-driven investors who make decisions based on real-time data instead of guesswork.