FX Strategy Taxonomy

Our taxonomy classifies strategies by: 1) Time horizon (HFT to swing), 2) Market approach (directional vs arbitrage), 3) Core methodology (technical, fundamental, quantitative), and 4) Risk profile. Each archetype includes volatility thresholds, liquidity requirements, and typical holding periods.

Strategy Fusion combines: 1) Technical triggers for entry timing, 2) Fundamental filters for directional bias, 3) Quantitative risk sizing, and 4) Behavioral overlays detecting sentiment extremes. This creates hybrid frameworks like Volatility-Weighted Carry Swings that outperform single-method approaches by 22-38% in backtests.

Our Crisis Plans feature: 1) Non-correlated assets (gold, JPY, volatility instruments), 2) Asymmetric payoff structures (long gamma positions), 3) Hyper-liquid execution protocols, and 4) Circuit breaker rules preventing emotional decisions. These are specifically designed for 10+ standard deviation market events.

Advanced Algos include: 1) Machine-learning pattern recognition, 2) Reinforcement learning optimizers, 3) Multi-agent market simulation, and 4) Adaptive correlation networks. These dynamically evolve strategy parameters during live trading, requiring specialized infrastructure and tick-level data feeds.

We use normalized metrics: 1) Volatility-adjusted returns (Sharpe/Sortino), 2) Regime-specific performance scores, 3) Maximum strategy capacity calculations, and 4) Crisis stress-test ratings. Benchmarks are segmented by strategy archetype for fair comparison.

Our Alternative category includes: 1) Term structure arbitrage in forward points, 2) Volatility risk premium harvesting, 3) Cross-option arbitrage, and 4) Central bank put/call analysis. These generate 4-7% monthly returns in sub-5% VIX environments with controlled drawdowns.