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 219/336 65% | Profit Factor 4.77 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $1.28M |
| Average Win $517,673.71 | Best Trade (Jul 22) $18.25M | Sharpe Ratio -10.37 |
| Average Loss -$203,028.6 | Worst Trade (Jul 24) -$3.74M | Z-Score 0.36 (28.04%) |
| Commissions $0 | Avg. Trade Length 1y 3w | Expectancy $266,714.87 |
| 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% | 0.02% |
| Consecutive Losing Trades | 1,203 | 1,083 | 963 | 842 | 722 | 602 | 481 | 361 | 241 | 120 |