Operating investor and technology executive focused on growth-stage fintech, trading infrastructure and enterprise software. Mikhail Shilshtut combines operating experience with capital allocation, advising portfolio companies on product-market fit, go-to-market execution and risk management across crypto and traditional markets.
Typical profile: active angel and seed investor, prior operator or trading desk lead, and contributor to governance and fundraising. Market relevance centers on bridging trading technology with institutional distribution.
Operating investor and technology executive focused on growth-stage fintech, trading infrastructure and enterprise software. Mikhail Shilshtut combines operating experience with capital allocation, advising portfolio companies on product-market fit, go-to-market execution and risk management across crypto and traditional markets.
Typical profile: active angel and seed investor, prior operator or trading desk lead, and contributor to governance and fundraising. Market relevance centers on bridging trading technology with institutional distribution.
Seeks high-conviction, founder-led opportunities at the intersection of fintech, trading infrastructure and enterprise software, favoring growth-stage and seed rounds where product-market fit is nascent. Allocates capital selectively with an active, hands-on style—combining balance-sheet support with operational guidance on engineering, risk controls and go-to-market. Time horizon is multi-year, oriented to durable market share and institutional distribution. Risk discipline emphasizes capital efficiency, downside protection via governance seats and staged financings, leveraging trading desk experience as an underwriting edge.
Seeks high-conviction, founder-led opportunities at the intersection of fintech, trading infrastructure and enterprise software, favoring growth-stage and seed rounds where product-market fit is nascent. Allocates capital selectively with an active, hands-on style—combining balance-sheet support with operational guidance on engineering, risk controls and go-to-market. Time horizon is multi-year, oriented to durable market share and institutional distribution. Risk discipline emphasizes capital efficiency, downside protection via governance seats and staged financings, leveraging trading desk experience as an underwriting edge.
| Trades 477 | Longs Won 161/477 33% | Profit Factor 0.77 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $3.66M |
| Average Win $673,106.45 | Best Trade (Mar 30) $20.45M | Sharpe Ratio -11.72 |
| Average Loss -$445,062.69 | Worst Trade (Mar 30) -$65M | Z-Score -2.13 (100%) |
| Commissions $0 | Avg. Trade Length 5m 2d | Expectancy -$67,651.3 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | - | - | - | - | - | - | - | - | - | - |
| Consecutive Losing Trades | 515 | 463 | 412 | 360 | 309 | 257 | 206 | 154 | 103 | 51 |