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The Federal Reserve Board’s Financial Stability Report of November 2025 (Box 1.1) states that AI may also help reduce the likelihood of correlated trade execution, by allowing richer information and more complex logic and so a greater diversity of trading signals, and that historical evidence suggests correlated algorithmic trading has not necessarily been detrimental to market quality. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2025-11 · publication Records dated 2025 → Role Contesting, Earliest located Register (kind of text) Nonfiction Engagement Engages a premise. The box disputes the premise that AI use makes trading decisions more alike, holding that it may instead diversify trading signals, and questions that correlated trading has been harmful. Scope and limits The same box also relays the concern (‘a long-standing concern’, ‘cannot be dismissed’) and calls for continued monitoring; the contest is partial and balanced within one text. It is the Board’s report, not evidence about market outcomes.
The evidence 03 primary source Supports the claim
Financial Stability Report, November 2025 ↗ Board of Governors of the Federal Reserve System · 2025-11
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Source excerpt “That said, the use of AI may also help reduce the likelihood of correlated trade execution, as it facilitates the use of richer information and more complex logic, potentially leading to a less uniform response to news and to a greater diversity of trading signals among market participants.” Location in source Box 1.1 ‘Artificial Intelligence and Algorithmic Trading’, PDF p. 23 (printed p. 15), paragraph 3
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Board of Governors of the Federal Reserve System Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 31f74bcbd3ed5423a39dc11f49219a94fe129f0ab652cfba4d854ad27bac175e). Retrieved again at admission on 2026-11-06 (same file). PDF of the November 2025 report as served on 2026-11-02; Box 1.1 on PDF pp. 23-24 (printed pp. 15-16) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Board of Governors of the Federal Reserve System, “Financial Stability Report, November 2025”, 2025-11. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (48 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. Supports the contesting stance. No human editorial review. primary source Supports the claim
Financial Stability Report, November 2025 ↗ Board of Governors of the Federal Reserve System · 2025-11
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Source excerpt “historical evidence from algorithmic trading suggests that correlated trading has not necessarily been detrimental to market quality.” Location in source Box 1.1, closing paragraph, PDF p. 24 (printed p. 16)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Board of Governors of the Federal Reserve System Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 31f74bcbd3ed5423a39dc11f49219a94fe129f0ab652cfba4d854ad27bac175e). Retrieved again at admission on 2026-11-06 (same file). PDF of the November 2025 report as served on 2026-11-02; Box 1.1 on PDF pp. 23-24 (printed pp. 15-16) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Board of Governors of the Federal Reserve System, “Financial Stability Report, November 2025”, 2025-11. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (17 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. Supports the contesting stance. No human editorial review. primary source Context only
Financial Stability Report, November 2025 ↗ Board of Governors of the Federal Reserve System · 2025-11
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Source excerpt “While the potential for AI to increase correlated trading and impact market competition cannot be dismissed” Location in source Box 1.1, closing paragraph, PDF p. 24 (printed p. 16)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Board of Governors of the Federal Reserve System Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 31f74bcbd3ed5423a39dc11f49219a94fe129f0ab652cfba4d854ad27bac175e). Retrieved again at admission on 2026-11-06 (same file). PDF of the November 2025 report as served on 2026-11-02; Box 1.1 on PDF pp. 23-24 (printed pp. 15-16) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Board of Governors of the Federal Reserve System, “Financial Stability Report, November 2025”, 2025-11. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (16 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. The box keeps the concern open. No human editorial review. Status and meaning Editorial status. Machine-checked . Machines found this record and checked it against its sources; no person accepted it individually. Each evidence record above shows how it was checked.
Relation. A passage of the document disputes the proposition or a premise it depends on. The record documents the text’s position, not who is right.
Date. Date of publication, as the text gives it.
Record ID am-u01-frb-2025-fsr-nov-contests