Veteran investor and operator focused on early-stage technology and consumer businesses. Alexandra Stickelman combines operating experience in high-growth startups with venture and angel investing, advising founders on go-to-market, product strategy and capital formation. Frequently active on seed and Series A rounds, she evaluates consumer-tech and SaaS opportunities with emphasis on unit economics and founder-market fit. Known for board advisory roles and hands-on portfolio support that accelerate commercial traction.
Veteran investor and operator focused on early-stage technology and consumer businesses. Alexandra Stickelman combines operating experience in high-growth startups with venture and angel investing, advising founders on go-to-market, product strategy and capital formation. Frequently active on seed and Series A rounds, she evaluates consumer-tech and SaaS opportunities with emphasis on unit economics and founder-market fit. Known for board advisory roles and hands-on portfolio support that accelerate commercial traction.
Early-stage investor focused on consumer-tech and SaaS, deploying concentrated, conviction-led seed and Series A capital with staged follow-ons and reserve allocation. Emphasizes founder-market fit, unit economics, repeatable go-to-market motion and capital efficiency; underwrites opportunities through measurable KPIs and rapid experiment cycles. Acts as hands‑on board advisor to accelerate commercial traction, preferring companies with clear unit-level economics, defensible product differentiation, and scalable customer acquisition pathways.
Early-stage investor focused on consumer-tech and SaaS, deploying concentrated, conviction-led seed and Series A capital with staged follow-ons and reserve allocation. Emphasizes founder-market fit, unit economics, repeatable go-to-market motion and capital efficiency; underwrites opportunities through measurable KPIs and rapid experiment cycles. Acts as hands‑on board advisor to accelerate commercial traction, preferring companies with clear unit-level economics, defensible product differentiation, and scalable customer acquisition pathways.
| Trades 8783 | Longs Won 5633/8783 64% | Profit Factor 25.03 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $454,769.45 |
| Average Win $79,103.88 | Best Trade (Jul 13) $16.3M | Sharpe Ratio -9.81 |
| Average Loss -$5,651.78 | Worst Trade (Jul 17) -$876,018.78 | Z-Score 36.6 (100%) |
| Commissions $0 | Avg. Trade Length 7m 3w 3d | Expectancy $48,703.17 |
| 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 |