Mean Reversion Strategy
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Data sources

Where the numbers come from

Each number here can be walked back to one of a small set of sources, listed below in order of how hard each would be to fake.

1. On-chain receipts (strongest)

Each the #1-ranked provider trade is SHA-256 hashed and anchored to Bitcoin via OpenTimestamps when it is issued. A historical trade can be matched against its receipt, which proves the entry, target, stop and grade were fixed before the reversion resolved.

2. Independent review of the record

A named outside party reads the continuous, real-money history rather than the operator attesting to it himself - and neither a platform leaderboard nor a customer testimonial substitutes for that. The operator, Darren O'Neill, comes at the market as a quant rather than a caller: an Oxford Said MAFE (a Master in Applied Financial Economics) plus a GMAT quant score in the 100th percentile inform how the stretches are scored and the grades calibrated.

3. Externally run championship results

The organiser of the 2025 World Cup Trading Championships tracks its results on real money rather than taking entrants' word for them - here, a 168% return placing 4th in the Annual Forex division, a win in the October monthly Forex contest at 59.35%, and 5th in the Q3 Forex quarterly at 65.9%, totalling a 294% aggregate over the divisions entered.

4. The operator's published numbers (context only)

The model-level 2026 figures - including 78 Swing Reversion trades at 74.4% for +225%, and 690 trades at 70% for +1,227% across all four models - are the operator's own published, on-chain-anchored numbers, used as context and trusted once the stronger sources above corroborate them. The +1,227% is the combined-book return, not the arithmetic sum of the per-model percentages, which are measured on different bases.