Seasoned investor and operator focused on growth-stage technology and consumer internet companies. Erik Roemer brings product-led operating experience, having held senior roles scaling teams, go-to-market and monetization strategies. Active angel and venture investor, participates in seed through Series B rounds and advises founders on retention and growth metrics. Markets view him as a hands-on board-level contributor with product and growth expertise.
Seasoned investor and operator focused on growth-stage technology and consumer internet companies. Erik Roemer brings product-led operating experience, having held senior roles scaling teams, go-to-market and monetization strategies. Active angel and venture investor, participates in seed through Series B rounds and advises founders on retention and growth metrics. Markets view him as a hands-on board-level contributor with product and growth expertise.
Focuses on growth-stage technology and consumer internet businesses with a product-led, metrics-driven approach. Prefers seed to Series B opportunities where early product-market fit can be accelerated by disciplined growth and retention levers. Capital allocation favors active, stage-appropriate checks combined with board or advisor roles to influence go-to-market, monetization and customer lifecycle optimization. Time horizon is growth-oriented with follow-on reserve discipline; risk managed through KPI underwriting, cohort retention analysis and staged milestones tied to expansion and unit-economics inflection.
Focuses on growth-stage technology and consumer internet businesses with a product-led, metrics-driven approach. Prefers seed to Series B opportunities where early product-market fit can be accelerated by disciplined growth and retention levers. Capital allocation favors active, stage-appropriate checks combined with board or advisor roles to influence go-to-market, monetization and customer lifecycle optimization. Time horizon is growth-oriented with follow-on reserve discipline; risk managed through KPI underwriting, cohort retention analysis and staged milestones tied to expansion and unit-economics inflection.
| Trades 563 | Longs Won 427/563 75% | Profit Factor 13.37 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $498,792.26 |
| Average Win $150,662.67 | Best Trade (Jul 15) $6.15M | Sharpe Ratio -11.36 |
| Average Loss -$35,386.57 | Worst Trade (Sep 29) -$1.33M | Z-Score 12.7 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 3d | Expectancy $105,720.05 |
| 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 | 5,714 | 5,143 | 4,571 | 4,000 | 3,429 | 2,857 | 2,286 | 1,714 | 1,143 | 571 |