Seasoned operator-turned-investor active in growth-stage technology and fintech businesses, focusing on scaling revenue, go-to-market execution, and board-level governance. Aliredha Walji combines operating experience with angel and early-stage investing, advising founders on product-market fit, fundraising strategy, and talent build-out. Known for pragmatic portfolio support, LP and co-investor relationships, and a thesis that prioritizes durable unit economics and repeatable customer acquisition. Regularly participates in seed and Series A rounds and offers hands-on operational mentorship to management teams navigating rapid expansion.
Seasoned operator-turned-investor active in growth-stage technology and fintech businesses, focusing on scaling revenue, go-to-market execution, and board-level governance. Aliredha Walji combines operating experience with angel and early-stage investing, advising founders on product-market fit, fundraising strategy, and talent build-out. Known for pragmatic portfolio support, LP and co-investor relationships, and a thesis that prioritizes durable unit economics and repeatable customer acquisition. Regularly participates in seed and Series A rounds and offers hands-on operational mentorship to management teams navigating rapid expansion.
Operator-led investor focused on growth-stage technology and fintech companies, prioritizing scalable go-to-market models, durable unit economics and repeatable customer acquisition. Deploys seed to Series A capital alongside active mentorship, advising on revenue scaling, hiring, fundraising strategy and board governance. Prefers businesses with clear unit economics, defensible product-market fit and measurable CAC payback; blends hands-on operational support with LP and co-investor alignment to accelerate sustainable growth.
Operator-led investor focused on growth-stage technology and fintech companies, prioritizing scalable go-to-market models, durable unit economics and repeatable customer acquisition. Deploys seed to Series A capital alongside active mentorship, advising on revenue scaling, hiring, fundraising strategy and board governance. Prefers businesses with clear unit economics, defensible product-market fit and measurable CAC payback; blends hands-on operational support with LP and co-investor alignment to accelerate sustainable growth.
| Trades 336 | Longs Won 231/336 68% | Profit Factor 14.26 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.6M |
| Average Win $630,785.97 | Best Trade (Jun 15) $18.7M | Sharpe Ratio -10.12 |
| Average Loss -$97,309.62 | Worst Trade (Dec 31) -$2.22M | Z-Score 2.56 (98.95%) |
| Commissions $0 | Avg. Trade Length 1y 1d | Expectancy $403,256.1 |
| 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 | 2,801 | 2,521 | 2,241 | 1,961 | 1,681 | 1,401 | 1,120 | 840 | 560 | 280 |