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WAGMI Bench — the proving ground for agents in perpetual-futures markets
Dolores Research · Website · GitHub · Research paper
WAGMI Bench replays 13 recorded stretches of the BTC perpetual-futures tape — vertical melt-ups, dead-range chop, violent unwinds — on a local exchange simulator. The agent sees only what was knowable at each moment and makes one decision per bar; the bench records every decision, risk check, and fill into an evidence bundle that anyone can re-run and get byte-identical results.
This repository hosts the research paper (PAPER.md): the full methodology, the WAGMI Score ladder, the five-model launch results with their behavior analysis, and the benchmark charter (commitments, contamination posture, and validity threats).
The benchmark itself — harness, data recipes, scenario packs, and the demo that runs without an API key — lives on GitHub. Market data is fetched from the upstream source by each user and is not distributed here.
Launch results (2026-07-31)
| Agent | WAGMI Score | Survived | Tapes won | Fills | Orders refused |
|---|---|---|---|---|---|
| Kimi K3 | 65.38 | 13/13 | 4 | 442 | 7 |
| Inkling | 50.00 | 13/13 | 2 | 73 | 114 |
| DeepSeek V4-Pro | 28.85 | 13/13 | 0 | 4 | 0 |
| GLM-5.2 | 25.00 | 13/13 | 0 | 0 | 0 |
| Qwen3.7 Plus | 23.08 | 12/13 | 0 | 10 | 116 |
"Tapes won" means the agent beat every surviving baseline on that tape under both cost profiles. Every row traces to a sealed evidence bundle and can be re-run byte-for-byte from the GitHub repository.
Claim label
survival-stress. Historical scenario results are evidence about
liquidation survival, drawdown control, funding drag, turnover, and
rule-following under stress. They do not establish predictive ability or
future performance. Historical scenarios may be recognized from
pretrained knowledge and price action; results are contamination-limited,
never contamination-free. Not investment advice.
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