Private markets investor and operations executive focused on real estate and alternative asset strategies, with experience across deal sourcing, portfolio management and capital raising. Hayley A. Snell brings a blend of investment underwriting, asset-level operations and investor relations expertise to mid-market and institutional transactions. Known for commercial diligence, structuring flexible capital solutions and driving operational value in portfolio assets.
Private markets investor and operations executive focused on real estate and alternative asset strategies, with experience across deal sourcing, portfolio management and capital raising. Hayley A. Snell brings a blend of investment underwriting, asset-level operations and investor relations expertise to mid-market and institutional transactions. Known for commercial diligence, structuring flexible capital solutions and driving operational value in portfolio assets.
Focuses on opportunistic and value-add real estate and alternative asset strategies, combining rigorous commercial underwriting with operational transformation to enhance cashflow and downside protection. Prefers mid‑market and institutional transactions where structuring flexibility and sponsor alignment unlock asymmetric returns. Capital deployment emphasizes staged financing, active asset management, and predefined exit pathways to balance growth and capital preservation. Decision-making is data-driven, prioritizes operational KPIs, tenant and market fundamentals, and cultivates LP relationships to support repeat syndication and capital recycling.
Focuses on opportunistic and value-add real estate and alternative asset strategies, combining rigorous commercial underwriting with operational transformation to enhance cashflow and downside protection. Prefers mid‑market and institutional transactions where structuring flexibility and sponsor alignment unlock asymmetric returns. Capital deployment emphasizes staged financing, active asset management, and predefined exit pathways to balance growth and capital preservation. Decision-making is data-driven, prioritizes operational KPIs, tenant and market fundamentals, and cultivates LP relationships to support repeat syndication and capital recycling.
| Trades 6193 | Longs Won 3852/6193 62% | Profit Factor 5.06 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $573,490.05 |
| Average Win $82,517.26 | Best Trade (Jul 15) $28.62M | Sharpe Ratio -10.98 |
| Average Loss -$26,844.56 | Worst Trade (Jul 15) -$14.84M | Z-Score 19.17 (100%) |
| Commissions $0 | Avg. Trade Length 1y 1m 2w 3d | Expectancy $41,177.68 |
| 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 | 55,556 | 50,000 | 44,444 | 38,889 | 33,333 | 27,778 | 22,222 | 16,667 | 11,111 | 5,556 |