Strategy Arena · Public research
LLM Trading Benchmark
Strategy results, their baselines and their limits. Not a universal ranking of AI models.
Published snapshot · 2026-09-13
Simulation · archiveThis selection preserves the reported leader of each of the nine markets in the World Arena file. It is neither a new run nor a controlled LLM experiment. Strategies and periods differ between markets.
- Markets in source
- 9
- Strategy × market rows
- 196
- Leaders displayed here
- 9
Period boundaries, detailed costs, engine version and candle hash are not supplied by this source. Update dates do not replace backtest dates. These figures alone do not reproduce a strategy or authorize its distribution.
| Market / strategy | Return | Buy & Hold | Gap (pp) | DD | Trades |
|---|---|---|---|---|---|
| BitcoinDarvasFewer than 20 reported trades | 17.01% | -12.47% | 29.48 | 1.08% | 10 |
| CAC 40GA CAC 40 MomentumFewer than 20 reported trades | 35.40% | 8.19% | 27.21 | 7.14% | 13 |
| DAXGA DAX ConquestFewer than 20 reported trades | 22.38% | 5.25% | 17.13 | 5.67% | 18 |
| EUR/USDGA EUR/USD MomentumFewer than 20 reported trades | 2.02% | -0.13% | 2.15 | 1.55% | 8 |
| GoldGA Gold Mean Reversion | 55.26% | 26.46% | 28.80 | 6.10% | 28 |
| Nasdaq 100Nasdaq 100 Buy & HoldPassive reference, not an AI win | 38.88% | 38.88% | 0.00 | 12.05% | 0 |
| OilOil Trend Conquest v2Fewer than 20 reported trades | 74.28% | 53.70% | 20.58 | 13.89% | 7 |
| S&P 500S&P 500 Buy & HoldPassive reference, not an AI win | 24.88% | 24.88% | 0.00 | 9.18% | 0 |
| SilverGA Silver RobustFewer than 20 reported trades | 142.10% | 91.55% | 50.55 | 12.16% | 16 |
SA-WA-20260913-e493a6a25189
What the leaders do not show
Showing only the leaders hides the spread within each arena. The same source also reports the following rows as the worst in their respective markets.
- Bitcoin · Gpt Ai : -95.97%
- EUR/USD · DeepSeek EUR/USD Native Edge : -13.33%
- Gold · 🔄 Mean Reversion Gold : -9.06%
Promotion status is a registry declaration, not an independent verdict obtained in this publication. An AI name in a strategy does not establish its model version or call history.
Three different things to measure
- Strategy designer
- The model proposes rules and an engine executes them. The exact code and provenance of its creation matter.
- Decision-making agent
- The model receives information and decides during the experiment. Timestamped responses, tools, costs and actions are needed.
- Simulated strategy
- The result depends on rules, data and execution. This snapshot describes that third level without certifying the other two.
Dates and reproduction
The dates below are preserved as reported. Several markets show June 2026: publication in September does not make those observations recent.
Inspect market identities and dates
- Bitcoin · BTC · BTCUSDT
native_arena_state
Reported update : - CAC 40 · CAC40 · ^FCHI
native_world_arena_generator
Reported update : - DAX · DAX · ^GDAXI
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Reported update : - EUR/USD · EURUSD · EURUSD=X
native_world_arena_generator
Reported update : - Gold · GOLD · GC=F / GLD
native_world_arena_generator
Reported update : - Nasdaq 100 · QQQ · QQQ ETF
native_world_arena_generator
Reported update : - Oil · USO · USO ETF
native_world_arena_generator
Reported update : - S&P 500 · SPY · SPY ETF
native_world_arena_generator
Reported update : - Silver · SILVER · SI=F / SLV
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Reported update :
For a future controlled comparison: fix model identities, rules, dates, costs and baselines before the trials, then publish trades and the engine receipt. No new backtest was run for this page.
Archived at :
Source-reported dateModified :