Experienced operator-turned-investor focused on early-stage SaaS, fintech and marketplace businesses. Taylor Wagner brings founder and investing experience, leading seed and Series A investments, board advisory roles and go-to-market scaling for portfolio companies. Background includes product leadership, capital raises and strategic partnerships across B2B software. Active in sourcing deals, mentoring founders and aligning follow-on capital with growth metrics. Investment style emphasizes unit economics, customer retention and repeatable sales motion.
Experienced operator-turned-investor focused on early-stage SaaS, fintech and marketplace businesses. Taylor Wagner brings founder and investing experience, leading seed and Series A investments, board advisory roles and go-to-market scaling for portfolio companies. Background includes product leadership, capital raises and strategic partnerships across B2B software. Active in sourcing deals, mentoring founders and aligning follow-on capital with growth metrics. Investment style emphasizes unit economics, customer retention and repeatable sales motion.
Operator-led investor targeting early-stage SaaS, fintech and marketplace companies. Focuses on founder-market fit, unit economics and early retention signals to underwrite seed and Series A rounds. Deploys capital with staged follow-ons tied to ARR milestones and cohort-level retention, prioritizing repeatable sales motions and scalable GTM. Leans on product and partnership expertise to accelerate go-to-market, provides board-level governance, and balances growth orientation with margin discipline and measurable customer LTV/CAC improvement.
Operator-led investor targeting early-stage SaaS, fintech and marketplace companies. Focuses on founder-market fit, unit economics and early retention signals to underwrite seed and Series A rounds. Deploys capital with staged follow-ons tied to ARR milestones and cohort-level retention, prioritizing repeatable sales motions and scalable GTM. Leans on product and partnership expertise to accelerate go-to-market, provides board-level governance, and balances growth orientation with margin discipline and measurable customer LTV/CAC improvement.
| Trades 3836 | Longs Won 2448/3836 63% | Profit Factor 77.53 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $265,087.71 |
| Average Win $29,702.58 | Best Trade (Jul 13) $11.71M | Sharpe Ratio -10.47 |
| Average Loss -$675.7 | Worst Trade (Mar 31) -$43,021.58 | Z-Score 21.89 (100%) |
| Commissions $0 | Avg. Trade Length 1y 2m 2w 1d | Expectancy $18,710.67 |
| 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 | 500,000 | 450,000 | 400,000 | 350,000 | 300,000 | 250,000 | 200,000 | 150,000 | 100,000 | 50,000 |