AgentHorizon
Harbor: pendingA benchmark of 1,373 computer-use tasks with paired instructions to evaluate agentic judges on long-horizon trajectory success verification across three OSs.
- Samples
- 1,373
- Released
- 2026
- Scores
- 10
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.
$ 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
| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| GLM-5 | 9.2 | N/A | Independent | medium | Oct 4, 2026 | arxiv.org |
| Claude Opus 4.7 | 9.0 | N/A | Independent | medium | Oct 4, 2026 | arxiv.org |
| GPT-5.5 | 9.0 | N/A | Independent | medium | Oct 4, 2026 | arxiv.org |
| DeepSeek V4 Pro | 8.2 | N/A | Independent | medium | Oct 4, 2026 | arxiv.org |
| Gemini 3.1 Pro | 7.7 | N/A | Independent | medium | Oct 4, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
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.