Seasoned growth investor and operator with experience in technology and consumer sectors, specializing in scaling revenue models, go-to-market execution and board-level governance. Michelle Taylor combines operating stints in high-growth startups with investment roles evaluating Series A–C opportunities and leading diligence, portfolio support and exit planning. Known for sector-driven sourcing, metric-focused performance improvement and hands-on CEO coaching to accelerate commercialization and organic growth.
Seasoned growth investor and operator with experience in technology and consumer sectors, specializing in scaling revenue models, go-to-market execution and board-level governance. Michelle Taylor combines operating stints in high-growth startups with investment roles evaluating Series A–C opportunities and leading diligence, portfolio support and exit planning. Known for sector-driven sourcing, metric-focused performance improvement and hands-on CEO coaching to accelerate commercialization and organic growth.
Growth-oriented investor focused on Series A–C technology and consumer businesses, prioritizing companies with repeatable revenue models and scalable go-to-market engines. Capital allocation favors concentrated, active stakes where operational partnership accelerates ARR expansion and margin improvement. Investment decisions blend metric-driven underwriting, scenario-based sizing and milestone-linked capital, with a 3–7 year horizon to commercialization and exit. Risk discipline emphasizes unit-economics stress-testing, founder alignment and board-level governance to de-risk scale execution.
Growth-oriented investor focused on Series A–C technology and consumer businesses, prioritizing companies with repeatable revenue models and scalable go-to-market engines. Capital allocation favors concentrated, active stakes where operational partnership accelerates ARR expansion and margin improvement. Investment decisions blend metric-driven underwriting, scenario-based sizing and milestone-linked capital, with a 3–7 year horizon to commercialization and exit. Risk discipline emphasizes unit-economics stress-testing, founder alignment and board-level governance to de-risk scale execution.
| Trades 607 | Longs Won 525/607 86% | Profit Factor 98.04 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $966,513.07 |
| Average Win $205,672.89 | Best Trade (Jul 15) $13.79M | Sharpe Ratio -14.06 |
| Average Loss -$13,431.28 | Worst Trade (Jul 13) -$334,791.93 | Z-Score 38.26 (100%) |
| Commissions $0 | Avg. Trade Length 1y 3m 2w 1d | Expectancy $176,073.98 |
| 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 | 23,810 | 21,429 | 19,048 | 16,667 | 14,286 | 11,905 | 9,524 | 7,143 | 4,762 | 2,381 |