Experienced technology investor and operator focused on growth-stage software and fintech companies, with a track record of scaling product and GTM functions and advising boards on commercialization and M&A. Jamie Cahal has led or supported multiple Series A–C financings, driven revenue and customer expansion strategies, and worked closely with founders and LPs on capital formation. They combine operating leadership with investor perspective across SaaS and payments.
Experienced technology investor and operator focused on growth-stage software and fintech companies, with a track record of scaling product and GTM functions and advising boards on commercialization and M&A. Jamie Cahal has led or supported multiple Series A–C financings, driven revenue and customer expansion strategies, and worked closely with founders and LPs on capital formation. They combine operating leadership with investor perspective across SaaS and payments.
Focuses on growth-stage software and fintech opportunities, prioritizing capital-efficient SaaS and payments businesses with clear product-market fit and scalable GTM motion. Prefers active, operator-led investing: driving revenue operations, customer expansion, and commercialization while advising boards on capital strategy and M&A. Allocates capital to Series A–C rounds with a bias toward repeatable unit economics, measurable retention, and leadership teams capable of rapid scale. Risk discipline emphasizes milestone-based deployment, tight unit-level KPIs, and near-term monetization paths to de-risk follow-on rounds.
Focuses on growth-stage software and fintech opportunities, prioritizing capital-efficient SaaS and payments businesses with clear product-market fit and scalable GTM motion. Prefers active, operator-led investing: driving revenue operations, customer expansion, and commercialization while advising boards on capital strategy and M&A. Allocates capital to Series A–C rounds with a bias toward repeatable unit economics, measurable retention, and leadership teams capable of rapid scale. Risk discipline emphasizes milestone-based deployment, tight unit-level KPIs, and near-term monetization paths to de-risk follow-on rounds.
| Trades 737 | Longs Won 465/737 63% | Profit Factor 5.68 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $170,106.81 |
| Average Win $99,135.31 | Best Trade (Jul 17) $2.07M | Sharpe Ratio -12.7 |
| Average Loss -$29,860.25 | Worst Trade (Mar 30) -$642,950 | Z-Score 3.5 (99.95%) |
| Commissions $0 | Avg. Trade Length 8m 1w 5d | Expectancy $51,527.72 |
| 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 | 3,984 | 3,586 | 3,187 | 2,789 | 2,390 | 1,992 | 1,594 | 1,195 | 797 | 398 |