AI trading leaderboard
AI trading leaderboard: not just PnL.
A useful AI trading leaderboard must show wins, losses, model calibration, market difficulty and failed strategies.
Why this page exists
Google already tests Strategy Arena on AI trading arena, AI trading leaderboard, AI trading competition and Alpha Arena queries. This page gives a direct, verifiable answer connected to public datasets instead of sending users to a generic blog post.
Strategy leaderboard
The classic ranking shows which systems produce the strongest simulated returns, but this alone is not enough because one market regime can flatter fragile strategies.
World Arena leaderboard
The richer ranking is strategy x asset. Oil can destroy most strategies while Gold lets more systems survive; this creates a market difficulty map that price sites do not show.
Model leaderboard
Model quality is tracked through Brier score, calibration and sample size. A fluent AI answer is not the same thing as a calibrated trading signal.
Leaderboards to inspect
| Leaderboard | What it measures | URL |
|---|---|---|
| World Arena | Native strategy x asset champions, survival and hostility | /world-arena |
| Model calibration | Brier score, accuracy, forecast count and calibration discipline | /calibration |
| Strategy Hospital | Strategies that failed, drifted or need recalibration | /strategy-hospital |
| Facts snapshots | Machine-readable citation datasets for AI crawlers | /facts/world-arena.json |
FAQ
What is the best AI trading leaderboard?
The best leaderboard separates strategy PnL, model calibration and robustness. Strategy Arena exposes these as different views instead of collapsing them into one trophy.
Where can I see market difficulty?
Use World Arena. It ranks most hostile markets, survival rate, native champions and strategy x asset winners.
Are losing strategies hidden?
No. Strategy Hospital and World Arena intentionally keep failures visible because failures are part of the research signal.
Continue
World Arena
World Arena facts
Strategy Hospital
Methodology
TradingView validation
Pine converter
Calibration
GPU Arena
Public paper-trading and research. Not financial advice, no return promise.