Veteran macro and digital-asset strategist who leads institutional research and capital allocation for investors focused on crypto, macro and risk-on/risk-off cycles. Neil Azous synthesizes macroeconomic, regulatory and crypto-market signals to advise allocators, family offices and hedge funds. Known for market commentary, model-driven asset allocation and engagement with investors on liquidity and custody dynamics.
Veteran macro and digital-asset strategist who leads institutional research and capital allocation for investors focused on crypto, macro and risk-on/risk-off cycles. Neil Azous synthesizes macroeconomic, regulatory and crypto-market signals to advise allocators, family offices and hedge funds. Known for market commentary, model-driven asset allocation and engagement with investors on liquidity and custody dynamics.
Leans toward macro-driven, model-based allocations across crypto and traditional assets with a focus on liquidity, custody, and regulatory regime shifts. Combines top-down macro cycle signals with on-chain and market microstructure data to time risk-on/risk-off exposures, favoring nimble, event-aware positioning and portfolio risk budgeting. Prioritizes institutional-grade custody and liquidity management, transparent allocation rules, and tactical rebalancing horizons from weeks to quarters to capture macro mean-reversion and regime transitions.
Leans toward macro-driven, model-based allocations across crypto and traditional assets with a focus on liquidity, custody, and regulatory regime shifts. Combines top-down macro cycle signals with on-chain and market microstructure data to time risk-on/risk-off exposures, favoring nimble, event-aware positioning and portfolio risk budgeting. Prioritizes institutional-grade custody and liquidity management, transparent allocation rules, and tactical rebalancing horizons from weeks to quarters to capture macro mean-reversion and regime transitions.
| Trades 445 | Longs Won 249/445 55% | Profit Factor 10.01 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $372,128.45 |
| Average Win $138,592.55 | Best Trade (Jul 15) $4.95M | Sharpe Ratio -89.46 |
| Average Loss -$17,586.66 | Worst Trade (Mar 30) -$294,161.08 | Z-Score -1.72 (92.66%) |
| Commissions $0 | Avg. Trade Length 11m 2w | Expectancy $69,803.51 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | 10,638 | 9,574 | 8,511 | 7,447 | 6,383 | 5,319 | 4,255 | 3,191 | 2,128 | 1,064 |