Auto86%Harbor: pendingAgentic / Tool Use

Synthetic Trading Benchmark

Synthetic Trading Benchmark for Execution Assumptions

Evaluates stability of LLM trading agent rankings under varying execution assumptions using 2,462 synthetic runs across six settings.

How to run

ltb · synthetic-trading-benchmark
$ npm i -g lettokenburn-cli
$ ltb bench info synthetic-trading-benchmark

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

5 sourced entries
HarnessSourceConfidenceLink
GLM-59.2N/AIndependentmediumOct 4, 2026arxiv.org
Claude Opus 4.79.0N/AIndependentmediumOct 4, 2026arxiv.org
GPT-5.59.0N/AIndependentmediumOct 4, 2026arxiv.org
DeepSeek V4 Pro8.2N/AIndependentmediumOct 4, 2026arxiv.org
Gemini 3.1 Pro7.7N/AIndependentmediumOct 4, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

The benchmark uses the TradeArena testbed to simulate trading for 12 policies (5 LLM, 7 classical) on synthetic price paths. It varies execution conditions from ideal fills to high-stress scenarios involving latency, spread, and impact.

Scoring measures rank agreement (Kendall tau) between execution settings rather than absolute returns. Key findings show ranking stability drops significantly in high-volatility regimes, highlighting sensitivity to execution conventions.