Can Agentic Trading Systems Pay for Their Own Intelligence?
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.10286.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryIntroduces TradeLens, a trace-grounded diagnostic toolkit that evaluates LLM-based trading agents by attributing profits and operational costs from trading records and runtime traces, assessing whether agent intelligence converts to measurable profit across models, capital scales, frequencies, and architectures.
Why it mattersReframes LLM agent evaluation from performance ranking to cost-to-profit conversion, offering a reusable diagnostic for auditing whether trading agents earn their inference spend.
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