An investor focused on growth-stage technology, Jeremy Sorci has blended operating experience with venture and private-equity investments to source and scale software and marketplace businesses. Background includes leading revenue and strategy functions, supporting go-to-market expansion, and advising founders on product-market fit and capital strategy. Portfolio involvement emphasizes SaaS monetization, fintech infrastructure, and cross-border scaling; frequently active in follow-on rounds and board advisory roles.
An investor focused on growth-stage technology, Jeremy Sorci has blended operating experience with venture and private-equity investments to source and scale software and marketplace businesses. Background includes leading revenue and strategy functions, supporting go-to-market expansion, and advising founders on product-market fit and capital strategy. Portfolio involvement emphasizes SaaS monetization, fintech infrastructure, and cross-border scaling; frequently active in follow-on rounds and board advisory roles.
Combines operating revenue leadership with growth-stage investing, targeting SaaS, fintech infrastructure and marketplaces where go-to-market expansion and monetization levers are clear. Prioritizes businesses with durable unit economics, repeatable sales motion and potential for cross-border scale. Capital deployment favors concentrated seed-to-growth stakes with active follow-on support and board-level engagement. Emphasizes metric-driven KPIs, pragmatic dilution management and outcome-oriented timelines of 3–7 years.
Combines operating revenue leadership with growth-stage investing, targeting SaaS, fintech infrastructure and marketplaces where go-to-market expansion and monetization levers are clear. Prioritizes businesses with durable unit economics, repeatable sales motion and potential for cross-border scale. Capital deployment favors concentrated seed-to-growth stakes with active follow-on support and board-level engagement. Emphasizes metric-driven KPIs, pragmatic dilution management and outcome-oriented timelines of 3–7 years.
| Trades 157 | Longs Won 100/157 63% | Profit Factor 1,842.12 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $2.42M |
| Average Win $853,831.77 | Best Trade (Jul 16) $18.44M | Sharpe Ratio -174.27 |
| Average Loss -$813.17 | Worst Trade (Jul 16) -$25,126.75 | Z-Score -2.96 (100%) |
| Commissions $0 | Avg. Trade Length 6m 2w | Expectancy $543,546.66 |
| 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% | 0.02% |
| Consecutive Losing Trades | 500,000 | 450,000 | 400,000 | 350,000 | 300,000 | 250,000 | 200,000 | 150,000 | 100,000 | 50,000 |