Quantitative asset management 2.0
Catana Capital offers innovative quantitative asset management based on a unique combination of data, experience and modern technology. Several hundred thousands of relevant news, articles, research as well as user generated content like blogs and tweets are analysed per day in real-time 24/7 via natural language processing and transferred into unique predictive trading signals.
The analysis is based on more than 45,000 securities in 7 locations globally. We employ a new type of Big Data powered A.I. approach, which uses the combined opinion of millions, sentiments and historical price movements to provide predictions. The whole process from crawling data to trading execution is fully automated, a portfolio manager only confirms each order with one final click.
Professional and fully automated quantitative asset management based on Big Data analysis and A.I. algorithms
You can participate from our innovative trading strategy through our Data Intelligence Fund
Technology Leader
Revolutionary asset management based on a unique combination of data and experience
Innovative approach
The data for our innovative trading strategies is generated through natural language processing in German, English and Chinese via individual crawling of a unique set of hundreds of sources from traditional content to user generated content on blogs, forums and social media to reflect “who says what to which security”.
More than 2 million messages from news, articles, research reports, blog posts, forum entries and tweets are collected per day while monitoring more than 45,000 securities in real-time. As an innovative German FinTech company we believe that unique access to alternative data sources in combination with artificial intelligence (A.I.) and the know-how how to use it will be the key competitive advantage in the quantitative asset management industry going forward.
Fully automated trading strategy
The Big Data and A.I. based investment approach transforms data in predictive trading signals. Our fully automated long / short equity strategy uses a unique combination of stock selection, market timing, smart exposure management and tailored risk management with the goal to generate above market returns.
While the whole process from data crawling to trading execution is fully automated, certain parameters are still predefined, such as the equity universe, maximum exposures, regulatory requirements, etc. The A.I. system is capable of changing its trading style and behavior in a systematic way. Once a trading signal is generated, a portfolio manager only confirms each order with one final click.
About Catana Capital
Catana Capital is a Frankfurt-based quantitative asset manager running a revolutionary new type of investment strategy that invests based on independent trading signals generated from Big Data analysis, combined with artificial intelligence algorithms. The company was founded in August 2015 and is completely licensed and capitalized according to the German Banking Act.
The combination of millions of opinions and messages in combination with unique experience set in new technology leads to competitive advantage compared to traditional investment forms. Catana Capital is a pioneer in new technology and asset management with an approach that can not be replicated by other market participants due to years of data crawling, alternative datasets and know-how.
How can we help you?
Feel free to contact us anytime if you have any questions about our innovative investment strategies or in case you just want to reach out!
Latest content from the blog
Content about investing based on A.I. algorithms and Big Data analysis
Cloud Computing – How to benefit as an investor from the cloud technology revolution
Catana Capital’s overlay strategy significantly reduces volatility and delivers positive value contribution
Interview with Michael Hebenstreit: “Digitalization and automation in the asset management industry are just getting started”
Catana Capital Awards
Catana Capital as innovative FinTech company has already received various awards
