Senior private markets investor and operator focused on growth-stage technology and consumer businesses, with experience in sourcing, diligence and portfolio value creation. Bradley Harsch is known for operating roles and investor relations work supporting capital formation, strategic M&A and board advisory, often bridging founders and institutional LPs.
Senior private markets investor and operator focused on growth-stage technology and consumer businesses, with experience in sourcing, diligence and portfolio value creation. Bradley Harsch is known for operating roles and investor relations work supporting capital formation, strategic M&A and board advisory, often bridging founders and institutional LPs.
Combines operator-led due diligence with growth-stage venture and private equity investing focused on technology and consumer businesses, prioritizing scalable revenue models and repeatable unit economics. Investment decisions favor founder-aligned rounds where active board involvement, operational playbooks and selective bolt-on M&A can accelerate commercial scale. Capital allocation emphasizes staged commitments tied to operational milestones, constructive governance, and LP alignment, seeking 3–7 year value creation horizons. Risk discipline centers on revenue defensibility, capital efficiency and repeatable customer acquisition; sourcing edge derives from operator networks and institutional distribution capabilities.
Combines operator-led due diligence with growth-stage venture and private equity investing focused on technology and consumer businesses, prioritizing scalable revenue models and repeatable unit economics. Investment decisions favor founder-aligned rounds where active board involvement, operational playbooks and selective bolt-on M&A can accelerate commercial scale. Capital allocation emphasizes staged commitments tied to operational milestones, constructive governance, and LP alignment, seeking 3–7 year value creation horizons. Risk discipline centers on revenue defensibility, capital efficiency and repeatable customer acquisition; sourcing edge derives from operator networks and institutional distribution capabilities.
| Trades 2101 | Longs Won 1210/2101 57% | Profit Factor 7.83 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $321,317.21 |
| Average Win $90,870.44 | Best Trade (Mar 31) $8.06M | Sharpe Ratio -9.94 |
| Average Loss -$15,752.14 | Worst Trade (Mar 31) -$962,969.76 | Z-Score -10.22 (100%) |
| Commissions $0 | Avg. Trade Length 9m 1w 6d | Expectancy $45,653.53 |
| 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% | 0.04% | 0.75% | 9.95% |
| Consecutive Losing Trades | 1,582 | 1,424 | 1,266 | 1,108 | 949 | 791 | 633 | 475 | 316 | 158 |