Veteran investor and operator focused on scaling growth-stage companies across technology and business services, with a background in corporate finance, M&A and strategy. Curtis Burkholder brings experience in operational turnarounds, capital raising and board governance, advising founders on go-to-market execution and unit economics while managing LP relationships and portfolio performance for institutional and private investors.
Veteran investor and operator focused on scaling growth-stage companies across technology and business services, with a background in corporate finance, M&A and strategy. Curtis Burkholder brings experience in operational turnarounds, capital raising and board governance, advising founders on go-to-market execution and unit economics while managing LP relationships and portfolio performance for institutional and private investors.
Focuses on growth-stage technology and business services, prioritizing scalable unit economics and repeatable go-to-market motion. Prefers active, operationally oriented investments where board-level engagement, capital structuring and turnaround playbooks accelerate revenue and margin expansion. Allocates capital with a bias toward follow-on reserve to protect ownership while driving KPI-based milestones over a 3–7 year horizon. Underwrites deals on a clear path to profitability, disciplined downside protections, and founder alignment, leveraging M&A and financing experience to optimize exit optionality.
Focuses on growth-stage technology and business services, prioritizing scalable unit economics and repeatable go-to-market motion. Prefers active, operationally oriented investments where board-level engagement, capital structuring and turnaround playbooks accelerate revenue and margin expansion. Allocates capital with a bias toward follow-on reserve to protect ownership while driving KPI-based milestones over a 3–7 year horizon. Underwrites deals on a clear path to profitability, disciplined downside protections, and founder alignment, leveraging M&A and financing experience to optimize exit optionality.
| Trades 5950 | Longs Won 3629/5950 60% | Profit Factor 44.29 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $151,123.27 |
| Average Win $22,886.71 | Best Trade (Jul 16) $4.69M | Sharpe Ratio -10.09 |
| Average Loss -$808 | Worst Trade (Jul 14) -$400,620.6 | Z-Score 26.74 (100%) |
| Commissions $0 | Avg. Trade Length 8m 2w 2d | Expectancy $13,642.03 |
| 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 | 500,000 | 450,000 | 400,000 | 350,000 | 300,000 | 250,000 | 200,000 | 150,000 | 100,000 | 50,000 |