Transparency Dossier — For Independent Analysis

Last updated: April 2026

Legal Entity

Vector Ridge Ltd, exempted company incorporated in the Cayman Islands, February 2026; located in New York, USA (447 Broadway, 2nd FL #243, New York, NY 10013)
Founder: Darren O'Neill
Perfect GMAT quantitative score
Website: vector-ridge.com

A quantitative research company publishing proprietary, horizon-specific signal products and long-horizon research, plus the Macro Framework for macro context
The company trades its own capital using the same models
Institutional clients access the framework via direct API with custom tickers
The retail platform gives independent traders access to the full multi-product platform
The retail product is phase one of a roadmap toward institutional advisory and fund management
All subscription revenue is reinvested into quantitative model development and infrastructure

2025 World Cup Trading Championship (WCTC) Annual Forex: 168% return, 4th place — real money, independently audited
Multiple top-5 finishes across World Cup Trading Championship divisions
Results published on worldcupchampionships.com — search for World Cup Trading Championship standings to verify
Audited annual track record since 2020 via AuditedTrader.com

Public live performance dashboard at vector-ridge.com/client-performance — updates every 60 seconds
Every trade tracked from published entry to exit — wins and losses, nothing hidden
Per-market performance pages available (audited model output)
Public API: signal-cache.ondarren1.workers.dev/trades — returns every trade in JSON format
Returns are raw and unweighted — not risk-adjusted, not compounded, not hypothetical
Performance is from a model portfolio, not a live brokerage account — the multi-asset instrument universe with different volatilities and contract structures cannot be fairly combined into one account with uniform sizing

Every trade is SHA-256 hashed at the exact moment of publication
Hash is timestamped on the blockchain via OpenTimestamps
This creates immutable, tamper-proof proof that each trade existed before the market moved
Subscribers receive verification keys for independent confirmation
Verification endpoint: signal-cache.ondarren1.workers.dev/verify/{trade_id}

Vector Ridge operates proprietary, horizon-specific signal products and long-horizon research, plus the Vector Ridge Macro Framework
Swing Trade — selective multi-day cards with explicit entry, lifecycle state, risk context and expiry
Overnight Trade — managed recovery cards designed for roughly one to two sessions, including overnight risk
Day Trade — same-session managed cards with confirmation, protection and a hard session clock
Rapid Trade — distinct high-activity cards carrying their own product identity and manager state
Investing — long-horizon theses, holdings and decision updates with explicit risk context
Macro Framework — a published regime view used as research context rather than a trade guarantee

Every signal carries a conviction grade A-D based on per-strategy average $ profit per trade thresholds across backtest
A-D conviction grades are calibrated separately by model horizon; exact numerical gates remain proprietary.
Min 10 trades required to escape Grade D. Quarterly recompute. Per-signal grade = highest-tier validated variant that fired
Realized performance is sourced from the scoped live ledger and is not frozen into this methodology page
Every card exposes the levels and lifecycle fields relevant to its own manager; products do not share one universal exit rule

Lite products: $20/month each
Plus: $100/month
Elite: $200/month; eligible users may select Elite after the same 14-day card-required free trial
Institutional Access: $5,000 per seat per month, plus published notional-volume surcharges by asset class; Atlas AI usage resets are $200 each

Trading involves substantial risk of loss
Past performance does not guarantee future results
Users are solely responsible for their own trades and risk management
The company makes no claims of future profits
Lower-grade trades (C/D/E) are explicitly noted as higher risk
The worst performing position was Netflix at -18.8% (Grade C) — reversed on news no model can predict