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Urs Schubiger
Quantitative Strategist
AQ Investment Zurich, Switzerland
"Adapting to market conditions makes the difference."

CTA - the Solution for Upcoming Market Environment

Investment strategy
Investment strategy

Based on years of experience and intensive research, the Aquila Systematic Trading Group has developed a managed futures strategy that combines various signals and models in one algorithm. A precise, quick and adaptive measuring of trends within the global investment universe is followed by a risk balanced portfolio allocation. The result: a stable and robust portfolio.

  • AC – Adaptive Trends Strategy - a new generation of CTAs
  • stable and attractive returns through precision and adaption in flat markets
  • high return potential with long-vol characteristic in strong trend phases
A volatile market environment
A volatile market environment

The current market environment is characterised by uncertainty: experts warn of an emerging equity market bubble1 and low interest rates appear to have bottomed out2. Geopolitical tensions combined with a greater-than-expected exacerbation of global financial market conditions2 will force investors to make challenging investment decisions in the near future.

CTAs offer considerable diversification in uncertain market environments: they are able to benefit from both rising and falling prices and they exhibit a low correlation to traditional asset classes such as equities and bonds.

1 Nobel Prize winner Robert Shiller in an interview with Bloomberg on 14 March 2017
2 Source: IMF World Economic Landscape, January 2017

Investment process
Investment process

The investment process is organised chronologically in the following steps:

  • investment universe
  • measurement of attractivity using momentum and carry signals per instrument
  • portfolio construction using risk balancing
  • position implementation

The investment universe is broadly diversified across a range of asset classes. Signal generation comprises various modern methods to measure momentum and carry across different time horizons (frequency analysis, econometrics, artificial intelligence). Portfolio construction is performed using risk balancing with regard to symmetrical and asymmetrical risk measures across various time horizons. The trading engine translates the current exposure into the number of desired contracts for the futures and aims to minimise unnecessary trades, slippage and trading costs. This makes the investment strategy better at detecting trend reversals, more robust against abrupt trend reversals and more consistent in flat markets.

Investment process
Experienced investment team
Experienced investment team

The AC – Adaptive Trends Strategy is managed by the Aquila Systematic Trading Group. The team has more than 30 years’ experience in managing quantitative multi-asset and equity strategies and was previously responsible for a renowned multi-asset fund. The Systematic Trading Group is fully integrated into the well-established infrastructure of Aquila Group, which launched the first risk parity product in Europe in 2004 and specialises in alternative investments.

Systematic trading group

Urs Schubiger
Quantitative Strategist
AQ Investment Zurich, Switzerland
Fabian Dori
Quantitative Strategist
AQ Investment Zurich, Switzerland
Egon Rütsche
Quantitative Strategist
AQ Investment Zurich, Switzerland

Product profiles and price information

*The official name is: AC with its sub funds AC - Adaptive Diversification 7 Fund, AC - Adaptive Diversification 12 Fund and AC - Adaptive Trends Fund

All funds
Here we provide you with an overview of all UCITS funds by Aquila Capital.

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