Seasoned operator and investor focused on growth-stage technology and fintech companies, with experience spanning product-led scale-ups, capital raising and board-level governance. Chris Benson combines hands-on operating roles with active angel and early-stage venture activity, advising management teams on go-to-market, unit economics and fundraising strategy. Market-facing strengths include diligence on recurring-revenue business models, SaaS metrics and customer retention levers; often participates in seed and Series A rounds and supports portfolio companies on KPI-driven scaling.
Seasoned operator and investor focused on growth-stage technology and fintech companies, with experience spanning product-led scale-ups, capital raising and board-level governance. Chris Benson combines hands-on operating roles with active angel and early-stage venture activity, advising management teams on go-to-market, unit economics and fundraising strategy. Market-facing strengths include diligence on recurring-revenue business models, SaaS metrics and customer retention levers; often participates in seed and Series A rounds and supports portfolio companies on KPI-driven scaling.
Combines an operator’s growth mindset with early-stage investor discipline, targeting product-led technology and fintech companies. Emphasizes recurring-revenue models, unit-economics clarity, strong retention and SaaS metrics when underwriting opportunities. Prefers seed and Series A stakes where active board or advisor involvement can accelerate go-to-market and KPI-driven scaling. Capital allocation favors concentrated bets with staged follow-on reserves, leaning long-term on durable revenue streams and measurable customer acquisition efficiency.
Combines an operator’s growth mindset with early-stage investor discipline, targeting product-led technology and fintech companies. Emphasizes recurring-revenue models, unit-economics clarity, strong retention and SaaS metrics when underwriting opportunities. Prefers seed and Series A stakes where active board or advisor involvement can accelerate go-to-market and KPI-driven scaling. Capital allocation favors concentrated bets with staged follow-on reserves, leaning long-term on durable revenue streams and measurable customer acquisition efficiency.
| Trades 531 | Longs Won 407/531 76% | Profit Factor 51.63 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.31M |
| Average Win $152,301.35 | Best Trade (Jul 17) $29.76M | Sharpe Ratio -10.18 |
| Average Loss -$9,681.75 | Worst Trade (Jul 17) -$526,239.61 | Z-Score 18.26 (100%) |
| Commissions $0 | Avg. Trade Length 10m 3w 1d | Expectancy $114,474.78 |
| 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% | 0.71% |
| Consecutive Losing Trades | 37,037 | 33,333 | 29,630 | 25,926 | 22,222 | 18,519 | 14,815 | 11,111 | 7,407 | 3,704 |