Growth-oriented investor specializing in enterprise software, cloud infrastructure and cybersecurity, active in seed to growth-stage financings and board-level value creation. He sources cross-border SaaS opportunities, advises management on GTM scaling, and allocates capital with emphasis on recurring revenue models and unit economics. Sean P. Skuja brings operating experience, board governance and strategic M&A support to portfolio companies, positioning investments for follow-on capital rounds and exit readiness.
Growth-oriented investor specializing in enterprise software, cloud infrastructure and cybersecurity, active in seed to growth-stage financings and board-level value creation. He sources cross-border SaaS opportunities, advises management on GTM scaling, and allocates capital with emphasis on recurring revenue models and unit economics. Sean P. Skuja brings operating experience, board governance and strategic M&A support to portfolio companies, positioning investments for follow-on capital rounds and exit readiness.
Growth-biased investor focused on enterprise software, cloud infrastructure and cybersecurity, prioritizing recurring revenue and strong unit economics. Targets seed to growth stages with cross-border SaaS sourcing, pairing capital with hands-on board engagement to accelerate GTM, scale metrics and M&A readiness. Capital allocation favors predictable ARR, defensible product-market fit and follow-on optionality; risk-managed through staged financings, milestone-based support and operational playbook deployment.
Growth-biased investor focused on enterprise software, cloud infrastructure and cybersecurity, prioritizing recurring revenue and strong unit economics. Targets seed to growth stages with cross-border SaaS sourcing, pairing capital with hands-on board engagement to accelerate GTM, scale metrics and M&A readiness. Capital allocation favors predictable ARR, defensible product-market fit and follow-on optionality; risk-managed through staged financings, milestone-based support and operational playbook deployment.
| Trades 11717 | Longs Won 7539/11717 64% | Profit Factor 10.28 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $4.8M |
| Average Win $748,611.9 | Best Trade (Jun 14) $304.01M | Sharpe Ratio -7.48 |
| Average Loss -$131,374.44 | Worst Trade (Jun 14) -$14.06M | Z-Score 21.73 (100%) |
| Commissions $0 | Avg. Trade Length 1y 2m 2w 1d | Expectancy $436,174.47 |
| 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 | 83,333 | 75,000 | 66,667 | 58,333 | 50,000 | 41,667 | 33,333 | 25,000 | 16,667 | 8,333 |