Andrew McCallum Portfolio
Invests via Golden Unicorn (BVI) Ltd. | Managed by Andrew McCallum
Invests via Golden Unicorn (BVI) Ltd.
Managed by Andrew McCallum
Automatically Tracked
Seasoned AI and enterprise-software executive and researcher with a blend of technical and commercial leadership, known for founding and scaling ML-driven companies and advising growth-stage startups. Andrew McCallum has led product, research and go-to-market teams, with a background in computer science and PhD-level machine-learning expertise. Relevant to investors, profile signals deep domain expertise in AI, data platforms and enterprise SaaS, plus board/advisor roles and capital-raising experience.
Seasoned AI and enterprise-software executive and researcher with a blend of technical and commercial leadership, known for founding and scaling ML-driven companies and advising growth-stage startups. Andrew McCallum has led product, research and go-to-market teams, with a background in computer science and PhD-level machine-learning expertise. Relevant to investors, profile signals deep domain expertise in AI, data platforms and enterprise SaaS, plus board/advisor roles and capital-raising experience.
Investment Philosophy & Strategy
Combines technical rigor with commercial pragmatism, prioritizing AI-native enterprise platforms that pair defensible data moats with clear revenue paths. Investment style favors concentrated, stage-agnostic bets in machine-learning infrastructure, verticalized AI applications, and data-centric SaaS where product-led growth and enterprise sales intersect. Capital allocation emphasizes founder alignment, measurable model improvements, and iterative go-to-market traction; horizon is multi-year, risk-managed through operational diligence, technical due diligence, and an edge in product/research evaluation.
Combines technical rigor with commercial pragmatism, prioritizing AI-native enterprise platforms that pair defensible data moats with clear revenue paths. Investment style favors concentrated, stage-agnostic bets in machine-learning infrastructure, verticalized AI applications, and data-centric SaaS where product-led growth and enterprise sales intersect. Capital allocation emphasizes founder alignment, measurable model improvements, and iterative go-to-market traction; horizon is multi-year, risk-managed through operational diligence, technical due diligence, and an edge in product/research evaluation.
Disclaimer: This Portfolio is derived from and computed based on publicly available data from SEC filings.
Gain and growth charts are calculated per selected timeframe:
56.26%
Gain +1.01%
Monthly
2.42%
Yearly
33.29%
Drawdown
31.65%
$848.61M
Equity
Holdings
$848.61M
Investment
$556.21M
$286.7M
Profit +$8.37M
Realized
-$5.7M
Unrealized
$292.4M
Dividends
$2.27M
Goals
Avg. 100% completed goals
Yearly
Gain > 5% 2026
Yearly
Gain < 20% 2026
Today
Compared To Yesterday
Gain
1.01%
Profit
$8.37M
Win %
100%
This Week
Compared To Last Week
Gain
0.82%
Profit
$6.87M
Win %
100%
This Month
Compared to last month
Gain
4.95%
Profit
$40.01M
Win %
100%
This Year
Compared to last year
Gain
21.74%
Profit
$151.54M
Win %
100%
Events
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Dividends
Dividend Analysis
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| Trades 9 | Longs Won 7/9 77% | Profit Factor 51.3 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $56.5M |
| Average Win $41.77M | Best Trade (Jul 21) $171.17M | Sharpe Ratio -12.14 |
| Average Loss -$2.85M | Worst Trade (Mar 31) -$5.66M | Z-Score 4.84 (100%) |
| Commissions $0 | Avg. Trade Length 11m 1w 2d | Expectancy $31.86M |
| 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% | 0.02% | 0.29% | 2.59% | 17.83% |
| Consecutive Losing Trades | 298 | 268 | 238 | 208 | 179 | 149 | 119 | 89 | 60 | 30 |
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Returns
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Option values are updated at end of day.
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Option values are updated at end of day.
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