Senior investor and former operator with a focus on growth-stage technology companies, particularly SaaS and fintech. Jessica Vickery combines hands-on product and go-to-market experience with portfolio management, sourcing deal flow and advising on scaling revenue and unit economics. Regular board observer and active mentor to founders, prioritizing metrics-driven growth, customer retention and efficient capital deployment. Often engages in cross-border transactions and collaborates with PE and strategic partners on late venture and growth equity rounds.
Senior investor and former operator with a focus on growth-stage technology companies, particularly SaaS and fintech. Jessica Vickery combines hands-on product and go-to-market experience with portfolio management, sourcing deal flow and advising on scaling revenue and unit economics. Regular board observer and active mentor to founders, prioritizing metrics-driven growth, customer retention and efficient capital deployment. Often engages in cross-border transactions and collaborates with PE and strategic partners on late venture and growth equity rounds.
Senior investor and former operator who targets growth-stage technology companies—primarily SaaS and fintech—with a bias for revenue scalability and durable unit economics. Focuses on metrics-driven underwriting, customer retention and capital-efficient go-to-market plays; typically takes active board observer roles and provides hands-on product and GTM support. Prefers growth-equity and late-venture financings, leverages cross-border deal networks and partnerships with PE and strategics to de-risk scale.
Senior investor and former operator who targets growth-stage technology companies—primarily SaaS and fintech—with a bias for revenue scalability and durable unit economics. Focuses on metrics-driven underwriting, customer retention and capital-efficient go-to-market plays; typically takes active board observer roles and provides hands-on product and GTM support. Prefers growth-equity and late-venture financings, leverages cross-border deal networks and partnerships with PE and strategics to de-risk scale.
| Trades 1262 | Longs Won 893/1262 70% | Profit Factor 11.97 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $237,737.18 |
| Average Win $76,521.42 | Best Trade (Jul 31) $4.26M | Sharpe Ratio -57.38 |
| Average Loss -$15,476.64 | Worst Trade (Jul 31) -$330,666.09 | Z-Score 5.53 (100%) |
| Commissions $0 | Avg. Trade Length 1y 1m 3d | Expectancy $49,595.61 |
| 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% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | 17,241 | 15,517 | 13,793 | 12,069 | 10,345 | 8,621 | 6,897 | 5,172 | 3,448 | 1,724 |