QUANTUMROCK

Better Invested

QUANTUMROCK

QUANTUMROCK is a BaFin-licensed asset manager that focuses on artificial intelligence and machine learning in automatic trading.
Our strategies are either purely quantitative or “quantamental” and combine science and statistics with fundamental data points and industry knowledge. Research focuses on statistical arbitrage, long-short equity models, volatility models and spread-and-pair trading models as well as market-neutral and directional models for generally all markets.
More about QUANTUMROCK

OUR STRATEGIES

ABSOLUTE RETURN STRATEGY

Our ABSOLUTE RETURN STRATEGY is a combination of various automated trading systems – investable via QR strategy certificates. All certificates are weighted equally, and the portfolio is re-balanced quarterly.

COMMODITY STRATEGY

Our COMMODITY STRATEGY analyzes historical market data on different commodities to isolate seasonal price fluctuations and observes the behavior of key market players trading highly correlated calendar spreads of the same commodity futures with different maturities.

VOLATILITY STRATEGY

Our VOLATILITY STRATEGY identifies new volatility trends, analyzes a broad spectrum of equities, identifies anomalies in the relevant options and trades with dollar-neutral long/short pairs.

COPERNICUS STRATEGY

Our COPERNICUS STRATEGY identifies over- and under-valued equities and sells or buys those with the potential for long-term stability.

MARKET REPORTS, PRESS & NEWS

AKTUELLES

“Als ein Beispiel für diese clevere Strategie mit Risikovermeidung durch quantitativen Asset Manager sei der Vermögensverwalter QUANTUMROCK genannt, der sich auf quantitative Strategien mit automatischen Handelssystemen, spezialisiert hat. Das Unternehmen programmierte und überwacht fünf Indices.”

16.05.2018 | View press release

“The German group said the aim of its tie-up — which follows its co-operation with German fund QUANTUMROCK Capital, which focuses on high-frequency mathematical trading strategies — was to gain understanding of algorithmic and automated trading models and not looking to use them as sources of revenue.”

06.07.2017 | View press release

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