The Control Layer Behind Rule-Following Agents Trading Across Market Conditions
Our study tested whether four AI trading agents followed their strategies and risk rules.
ProofPaper ↗
Key points
- Our study analysed 2,627 closed positions from 12 February to 27 August 2026 across the same asset universe and execution conditions.
- Profitability tracked how often agents won relative to their break-even win rates.
- The trade-log tests can be rerun from the published trade snapshot; regime tests also require the published Bitcoin prices and regime labels.
- Our study provides an evaluation toolkit to help traders distinguish rule-following from luck before committing capital.
Sources (1)
- [1]The Control Layer Behind Rule-Following Agents Trading Across Market ConditionsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 01:01 PM
Our study tested whether four AI trading agents followed their strategies and risk rules.
Our study analysed 2,627 closed positions from 12 February to 27 August 2026 across the same asset universe and execution conditions.
Extractive summary: sentences quoted from the sources.
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