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 582/940 61% | Profit Factor 5.04 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.38M |
| Average Win $191,555.69 | Best Trade (Jul 22) $32.58M | Sharpe Ratio -13.4 |
| Average Loss -$61,740.37 | Worst Trade (Jul 22) -$9.84M | Z-Score -2.06 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 3w 1d | Expectancy $95,087.61 |
| 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% | 0.02% | 0.3% | 2.66% | 18.05% |
| Consecutive Losing Trades | 2,653 | 2,387 | 2,122 | 1,857 | 1,592 | 1,326 | 1,061 | 796 | 531 | 265 |