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Founder & Lead Analyst, Vector Ridge — Architect of the Multi-Product Corridor Platform
Darren O'Neill is an independent trader specialising in discretionary macro strategies and quantitative mean-reversion research. His approach combines WCTC-tested execution, Oxford-trained macro analysis, and audited model performance to develop high-conviction quantitative research.
He founded Vector Ridge in February 2026 to publish the proprietary models built from that track record. The Vector Ridge platform spans Swing Quant Model, Overnight Quant Model, Day Quant Model, Rapid Quant Model and long-horizon research, with every subscriber card tied to a defined model, research horizon and lifecycle. Current realized results are published in the scoped documented performance record rather than frozen into marketing copy. Every model output and piece of research is produced in-house.
Results verified at worldcupchampionships.com — 168% Annual Forex (4th place), 294% aggregate across all divisions
Six-year track record verified by AuditedTrader. All figures represent net returns on audited accounts.
| Year | Return | Trades | Max Drawdown | Sharpe Ratio | Win Rate |
|---|---|---|---|---|---|
| 2020 | 22% | 162 | 31% | 0.58 | 50% |
| 2021 | 16% | 174 | 34% | 0.41 | 48% |
| 2022 | 37% | 245 | 22% | 0.89 | 54% |
| 2023 | 178% | 34 | 14% | 2.57 | 67% |
| 2024 | 94% | 55 | 19% | 1.44 | 58% |
| 2025 | 294% | 30 | 12% | 2.10 | 65% |
Every position starts with a macro thesis. Interest rate differentials, central bank policy shifts, geopolitical risk, and cross-asset flows form the foundation before any chart is opened. Technical analysis is used for timing, not thesis generation.
Position sizing and drawdown management take priority over returns. The goal is not to maximise gains in any single year but to compound capital over decades. Every Vector Ridge model publication carries its research horizon, model state, timestamp and conviction grade.
Competition results are publicly verifiable. Model publications are timestamped and graded when issued, not reconstructed after outcomes are known. Each publication record is SHA-256 hashed and anchored via OpenTimestamps, providing independently inspectable evidence that the record was not altered after publication. Vector Ridge exists because documented evidence should speak louder than marketing.
No institutional affiliations, no sponsored content, no third-party analysts. Every model publication and piece of research comes from one source. That independence is the product.
The same methodology that produced these competition results is now packaged as four model horizons, not separate market stories.
View pricing — Lite $20 per product / Plus $100 / Elite $100 →
Darren O'Neill is an Irish independent trader and the founder of Vector Ridge. He holds a Master in Applied Financial Economics from Oxford Saïd Business School and a perfect quantitative GMAT score. In the 2025 World Cup Trading Championships (WCTC), he finished 4th in Annual Forex with 168% verified real-money return, 1st in the October Forex Monthly, and 5th in Q3 Forex, for a 294% aggregate across all divisions — all independently verifiable at worldcupchampionships.com. His audited track record spans 2020 to 2025 with performance independently audited via broker statements.
His performance is independently audited with verified annual returns from 2020 to 2025. Headline results include 178% in 2023 with a 2.57 Sharpe ratio, 94% in 2024 with a 1.44 Sharpe, and a 4th-place finish in the 2025 WCTC Annual Forex championship (+168% on real money), plus a 1st-place October Forex Monthly. These 2025 results are independently verifiable at worldcupchampionships.com.
Vector Ridge is a quantitative market-research platform founded by Darren O'Neill. It publishes horizon-specific quantitative research models and long-horizon research with A through D conviction grading, documented performance tracking, and cryptographic publication timestamps. Current access terms are shown on the pricing page.
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