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Six strategy families, one research process

Multi-strategy and low-correlation by design. Each family is researched through Fusion Analysis and run on systematic rules.

These describe our research process, not an offer of any product. Derivatives carry a high degree of risk.

Derivatives research

Analysis of the futures and options market, including open-interest build-up by strike and expiry, which informs our strategies. We do not publish this research as reports.

  • F&O
  • Options OI analysis
  • Expiry positioning

Futures strategies

Systematic use of futures to express trend and relative views, with position sizes set by volatility and correlation.

  • Managed futures
  • Equity long/short
  • Trend following

Equity strategies

Factor-based and relative-value approaches that look for durable drivers of equity behaviour, tested across market regimes.

  • Factor models
  • Relative value
  • Momentum
  • Contrarian

Options strategies

Vanilla option positions and volatility analysis, with a preference for structures where the maximum loss is known in advance.

  • Vanilla options
  • Options analytics
  • Volatility

Advanced options

Multi-leg structures designed around a specific view on direction, range or volatility, each with a defined risk profile.

  • Spreads
  • Butterflies
  • Ladders
  • Ratio spreads
  • Straddles
  • Strangles

Algorithmic and quantitative

Rules-based strategies built on statistical and machine-learning research, designed to adapt across market regimes, with explicit rules for when a strategy is paused.

  • Systematic
  • ML-assisted
  • Regime-aware
  • Low correlation

QRAC’s strategies are also applied in an offshore fund for eligible non-resident investors.

Questions about our strategies?

Talk to the team about our research and how our strategies are applied.