Sector-focused venture investor and operator with experience sourcing and scaling enterprise SaaS and fintech companies. Amy Taylor combines prior operating roles in product and go-to-market with investment experience across seed to growth rounds, advising boards on commercial strategy and fundraising. Background includes business school and early-stage startup leadership, with emphasis on value creation through revenue operations, customer expansion and strategic M&A for portfolio exits.
Sector-focused venture investor and operator with experience sourcing and scaling enterprise SaaS and fintech companies. Amy Taylor combines prior operating roles in product and go-to-market with investment experience across seed to growth rounds, advising boards on commercial strategy and fundraising. Background includes business school and early-stage startup leadership, with emphasis on value creation through revenue operations, customer expansion and strategic M&A for portfolio exits.
Operator-investor focused on sector-specialist venture allocations in enterprise SaaS and fintech, prioritizing businesses with clear go-to-market leverage and scalable revenue operations. Pursues seed-to-growth stakes where operational playbooks—product-market fit, customer expansion, and repeatable sales motions—can be activated. Capital deployment favors concentrated, active positions paired with board or advisor roles to drive commercial scale and strategic M&A outcomes. Time horizon is growth-oriented with pragmatic exit discipline and emphasis on de-risking via revenue momentum and unit economics.
Operator-investor focused on sector-specialist venture allocations in enterprise SaaS and fintech, prioritizing businesses with clear go-to-market leverage and scalable revenue operations. Pursues seed-to-growth stakes where operational playbooks—product-market fit, customer expansion, and repeatable sales motions—can be activated. Capital deployment favors concentrated, active positions paired with board or advisor roles to drive commercial scale and strategic M&A outcomes. Time horizon is growth-oriented with pragmatic exit discipline and emphasis on de-risking via revenue momentum and unit economics.
| Trades 940 | Longs Won 588/940 62% | Profit Factor 3.72 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $936,082.63 |
| Average Win $131,690.22 | Best Trade (Mar 31) $22.91M | Sharpe Ratio -13.65 |
| Average Loss -$59,177.49 | Worst Trade (Jun 14) -$9.72M | Z-Score -2.5 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 5d | Expectancy $101,863.3 |
| 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% | 0.12% | 4.1% |
| Consecutive Losing Trades | 2,212 | 1,991 | 1,770 | 1,549 | 1,327 | 1,106 | 885 | 664 | 442 | 221 |