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 identify high-conviction signal opportunities.
He founded Vector Ridge in February 2026 to publish the proprietary models built from that track record. The Vector Ridge platform spans Swing Trade, Overnight Trade, Day Trade, Rapid Trade and long-horizon research, with every subscriber card tied to a defined product, holding horizon and lifecycle. Current realized results are published in the scoped live performance ledger rather than frozen into marketing copy. The retail platform represents phase one toward institutional advisory and fund management, with institutional clients served via API. 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 trade published through Vector Ridge includes defined risk levels and a conviction grade.
Performance is audited. Competition results are publicly verifiable. Trades are time-stamped and graded before markets move, not after. Every trade is SHA-256 hashed and timestamped on the blockchain via OpenTimestamps at the moment of publication — providing tamper-proof, independently verifiable proof that no result has been altered after the fact. Vector Ridge exists because a verified track record should speak louder than marketing.
No institutional affiliations, no sponsored content, no third-party analysts. Every position, every piece of research, and every trade idea 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 $200 →
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 systematic trading-research platform founded by Darren O'Neill. It publishes horizon-specific signal products and long-horizon research with A through D conviction grading, live performance tracking, and cryptographic publication timestamps. Current access terms are shown on the pricing page.
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