Experienced investor and fintech executive focused on growth-stage technology and digital payments. Gintare Zubrute brings operating experience in product strategy, partnerships and scaling go-to-market for platform businesses, with prior roles spanning startup leadership and corporate strategy. Known for sourcing cross-border deals and advising on customer acquisition metrics, capital efficiency and unit economics, maintains active angel and advisory roles across European and Baltic fintech ecosystems.
Experienced investor and fintech executive focused on growth-stage technology and digital payments. Gintare Zubrute brings operating experience in product strategy, partnerships and scaling go-to-market for platform businesses, with prior roles spanning startup leadership and corporate strategy. Known for sourcing cross-border deals and advising on customer acquisition metrics, capital efficiency and unit economics, maintains active angel and advisory roles across European and Baltic fintech ecosystems.
Focuses on growth-stage fintech and digital payments, prioritizing companies with defensible platform effects, clear unit economics and repeatable customer acquisition pathways. Employs a metrics-driven, capital-efficient approach to allocate seed to Series B capital, privileging founders who can scale partnerships and go-to-market channels across borders. Time horizon is growth-to-exit (3–7 years) with disciplined downside controls via milestone-based capital, active operational support on product strategy and KPIs, and emphasis on partnerships to accelerate distribution.
Focuses on growth-stage fintech and digital payments, prioritizing companies with defensible platform effects, clear unit economics and repeatable customer acquisition pathways. Employs a metrics-driven, capital-efficient approach to allocate seed to Series B capital, privileging founders who can scale partnerships and go-to-market channels across borders. Time horizon is growth-to-exit (3–7 years) with disciplined downside controls via milestone-based capital, active operational support on product strategy and KPIs, and emphasis on partnerships to accelerate distribution.
| Trades 1214 | Longs Won 753/1214 62% | Profit Factor 31.03 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $873,028.86 |
| Average Win $145,336.7 | Best Trade (Jul 15) $26.47M | Sharpe Ratio -10.5 |
| Average Loss -$7,650.47 | Worst Trade (Jul 13) -$473,374.51 | Z-Score 6.74 (100%) |
| Commissions $0 | Avg. Trade Length 11m 1w 2d | Expectancy $87,246.34 |
| 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 | 52,632 | 47,368 | 42,105 | 36,842 | 31,579 | 26,316 | 21,053 | 15,789 | 10,526 | 5,263 |