MacroBench - Financial Agent Benchmark is a finance AI agent for Objectively evaluate how well a financial AI agent performs in realistic, high-stress market conditions like crashes or bubbles. Pricing: Pay-per-test or enterprise license. As of 2026-10-25, KanonAgent records 2 upvotes. First indexed by KanonAgent on 2026-08-18.
MacroBench tests financial AI agents using real historical market crises to measure their performance under pressure.
2 upvotes
Tracked by Kanon since Aug 18, 2026
no signal yet
status
8/100
momentum · conf 0.46
64d
tracked since 2026-08-22
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evidence records
No signal event on file yet — status is unknown, not "quiet".
📈 Timelinewhat changed, and when
first observedKanon started keeping permanent history for this agent
🔎 Known / Unknown
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🤖 Agent teardown · finance
Job to be doneObjectively evaluate how well a financial AI agent performs in realistic, high-stress market conditions like crashes or bubbles.
Who it is forB2B developers and quant teams building AI trading systems
PricingPay-per-test or enterprise license
Traction · why it is risingGaining attention in the AI finance space where there’s no standard way to validate agent robustness across real-world events.
Why it matters
It provides the first credible benchmark for financial AI agents, addressing a critical lack of trust and transparency in the field.
Building MacroBench? Pick a style above — the embed code updates live. Deep color control via URL params: bg= / fg= / accent= (hex). It links back to this page.
