Seasoned operator and investor focused on scaling consumer and technology businesses across growth and pre-IPO stages. Dana Weymouth combines operational leadership in finance and strategy with active angel and venture investing, advising management teams on capital raises, go-to-market and M&A preparation. Frequently engaged with early-stage boards and syndicates, she emphasizes data-driven growth, unit economics and disciplined capital allocation.
Seasoned operator and investor focused on scaling consumer and technology businesses across growth and pre-IPO stages. Dana Weymouth combines operational leadership in finance and strategy with active angel and venture investing, advising management teams on capital raises, go-to-market and M&A preparation. Frequently engaged with early-stage boards and syndicates, she emphasizes data-driven growth, unit economics and disciplined capital allocation.
Focuses on scaling consumer and tech companies from seed through pre‑IPO, prioritizing businesses with clear unit economics and repeatable go‑to‑market motion. Deploys capital with a growth‑oriented yet disciplined allocation framework, balancing hands‑on operational support—finance, strategy, and board governance—with selective syndicate co-investments. Emphasizes data-driven KPIs, margin expansion and capital efficiency to de‑risk pathways to exit. Typical time horizon spans multi-year growth to liquidity, with active involvement in fundraising, commercialization and M&A readiness.
Focuses on scaling consumer and tech companies from seed through pre‑IPO, prioritizing businesses with clear unit economics and repeatable go‑to‑market motion. Deploys capital with a growth‑oriented yet disciplined allocation framework, balancing hands‑on operational support—finance, strategy, and board governance—with selective syndicate co-investments. Emphasizes data-driven KPIs, margin expansion and capital efficiency to de‑risk pathways to exit. Typical time horizon spans multi-year growth to liquidity, with active involvement in fundraising, commercialization and M&A readiness.
| Trades 1703 | Longs Won 1030/1703 60% | Profit Factor 14.02 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $351,183.87 |
| Average Win $63,639.39 | Best Trade (Jun 09) $8.37M | Sharpe Ratio -9.12 |
| Average Loss -$6,947.04 | Worst Trade (Jun 11) -$635,585.94 | Z-Score -9.06 (100%) |
| Commissions $0 | Avg. Trade Length 11m 3w 3d | Expectancy $35,744.7 |
| 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 | 38,462 | 34,615 | 30,769 | 26,923 | 23,077 | 19,231 | 15,385 | 11,538 | 7,692 | 3,846 |