The Alpha Maximiser

June 2023 in Previous Features

Quant Hedge has developed a method for short and medium-term FX and Futures trading that is based on what the systematic firm calls ‘aggregated alpha’. It’s an uncommon approach that also seeks to capitalise on a back-testing model that is the complete opposite of what many firms use. Adam Cox of FXAlgoNews catches up with Quant Hedge’s Managing Director, Victor Lebreton, to discover more about the process.

AC: Let’s begin by talking about the investment approach Quant Hedge takes for currencies. VL: We have started traditional systematic CTA short-term algos on foreign exchange. It’s an absolute return investment strategy using short-term and medium-term investments. What we do, we simply find microstructure and discrepancy in the market, and trade these short term investment opportunities with a range of algos. Part of it is very computational, trying to understand the best microstructure in the market, on an intraday basis AC: Let’s begin by talking about the investment approach Quant Hedge takes for currencies. VL: We have started traditional systematic CTA short-term algos on foreign exchange. It’s an absolute return investment strategy using short-term and medium-term investments. What we do, we simply find microstructure and discrepancy in the market, and trade these short term investment opportunities with a range of algos. Part of it is very computational, trying to understand the best microstructure in the market, on an intraday basis

AC: Let’s begin by talking about the investment approach Quant Hedge takes for currencies. VL: We have started traditional systematic CTA short-term algos on foreign exchange. It’s an absolute return investment strategy using short-term and medium-term investments. What we do, we simply find microstructure and discrepancy in the market, and trade these short term investment opportunities with a range of algos. Part of it is very computational, trying to understand the best microstructure in the market, on an intraday basis

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