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Quantumrock GmbH Luise-Ullrich-Str. 4 82031 Grünwald, Germany https://quantumrock.ai
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Quantumrock’s AI-based strategy outperforms competition in March despite turbulent Q1 market conditions

Fluctuating markets in March of 2022 saw AI asset tech company triumph with a gross monthly performance of +5.36%

(PresseBox) (Munich, )
Despite turbulent Q1 market conditions, AI asset tech company Quantumrock’s AI-based strategy outperformed both markets and competitors in March of this year, with the company’s Volatility Special Opportunity Program (VSOP) contributing to a gross monthly performance of +5.36%. While markets continued to be characterized by high uncertainty caused by an acceleration in inflation and the intensification of Russia’s invasion of Ukraine, the market volatility proved advantageous for the AI asset tech company, providing fertile ground for the continued high performance of the group’s VSOPs.

The Quantumrock VSOP's AI and ML-based investment approach aims for market-independent returns via a combination of different Alpha Add-Ons in equities, fixed income, and volatility. With particular emphasis  placed on strategies designed to generate Crisis Alpha through the timing of volatility and the underlying equity market during crises, the approach was able to capture a high number of opportunities for the AI-generated financial solutions company during market fluctuation in the first few months of the year.

Thanks to a dynamic absolute return strategy based on the company’s AI platform, the 30-strong team of deep tech engineers, finance/capital market experts, and international former top finance executives at Quantumrock was able to identify different performance sources and simultaneously achieve dynamic protection in falling markets by adding temporary Crisis Alpha. In general, clients who have added VSOP to their portfolios were able to improve the risk-return ratio of their holdings.

As stocks tumbled at the start of the year, Quantumrock continued to deliver on the AI-enabled absolute return concept that we have honed and proven over the last 6 years.” –Stefan Tittel, CEO of Quantumrock

Disrupting the investment and asset management landscape, Quantumrock leverages machine learning and artificial intelligence technologies to generate client-specific Alpha Add-Ons via an innovative AI/ML platform. The platform analyzes large amounts of market data in addition to identifying and monitoring patterns and opportunities for Alpha generation. These are delivered to clients as Alpha-generating strategies; personalized products called Alpha Add-Ons that improve a client’s fund or portfolio.

The benefits to investment and asset managers of adopting this leading technology are multifarious. Alpha Add-Ons fight Alpha Decay in any given investment model while increasing robustness and improving return expectations. Volatility-defending components and strategic elements can also be built into existing investment models and new Alpha sources can be identified and incorporated at speed.

Quantumrock GmbH

Quantumrock is an AI asset tech company differentiating through an innovative AI/ML platform which is employed to rapidly analyse large amounts of market data to identify patterns and opportunities for Alpha generation, packaged for clients in Alpha-generating strategies that improve their funds or portfolios, so-called Alpha Add-Ons. The company is headquartered in Munich, Germany, and consists of around 30 deep tech engineers, finance/capital market experts and international former top executives from the banking and technology sector as employees and advisors.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.