Experienced tech and growth-stage investor with a background in corporate strategy and operating roles across software and fintech. Daniel Conway is known for sourcing and scaling early revenue models, leading diligence on SaaS, and advising CEOs on go-to-market and capital raises. Active across seed to Series B rounds, focuses on unit economics, ARR expansion and founder alignment. Regular speaker at investor forums and collaborates with venture and angel networks.
Experienced tech and growth-stage investor with a background in corporate strategy and operating roles across software and fintech. Daniel Conway is known for sourcing and scaling early revenue models, leading diligence on SaaS, and advising CEOs on go-to-market and capital raises. Active across seed to Series B rounds, focuses on unit economics, ARR expansion and founder alignment. Regular speaker at investor forums and collaborates with venture and angel networks.
Combines an operator-first perspective with growth-stage venture discipline, targeting early-revenue software and fintech companies. Prioritizes scalable unit economics, ARR trajectory, and founder alignment when allocating seed to Series B capital. Emphasizes hands-on diligence, go-to-market optimization, and capital-efficient scaling, favoring repeatable revenue models and measurable customer acquisition payback. Time horizon is long-biased; risk managed via staged funding, metric-driven milestones and board-level operational support.
Combines an operator-first perspective with growth-stage venture discipline, targeting early-revenue software and fintech companies. Prioritizes scalable unit economics, ARR trajectory, and founder alignment when allocating seed to Series B capital. Emphasizes hands-on diligence, go-to-market optimization, and capital-efficient scaling, favoring repeatable revenue models and measurable customer acquisition payback. Time horizon is long-biased; risk managed via staged funding, metric-driven milestones and board-level operational support.
| Trades 878 | Longs Won 448/878 51% | Profit Factor 5.24 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.11M |
| Average Win $319,004.44 | Best Trade (Jun 03) $25.03M | Sharpe Ratio -16.39 |
| Average Loss -$63,458.66 | Worst Trade (Dec 31) -$1.73M | Z-Score -4.35 (100%) |
| Commissions $0 | Avg. Trade Length 1y 11m 3w 6d | Expectancy $131,693.35 |
| 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% | 0.51% |
| Consecutive Losing Trades | 3,704 | 3,333 | 2,963 | 2,593 | 2,222 | 1,852 | 1,481 | 1,111 | 741 | 370 |