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pith:2025:7RAPPF33576F2GAE3ELPHQG73Z
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ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination

Angeliki Dimitriou, Charidimos Papadakis, Giorgos Filandrianos, Giorgos Stamou, Konstantinos Thomas, Maria Lymperaiou

Adaptive prompt optimization lets LLM trading agents improve over time using noisy market feedback

arxiv:2510.15949 v5 · 2025-10-10 · q-fin.TR · cs.AI

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4 Citations open
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Claims

C1strongest claim

Adaptive-OPRO consistently outperforms fixed prompts, while reflection-based feedback fails to provide systematic gains across regime-specific equity studies and multiple LLM families.

C2weakest assumption

That real-time stochastic feedback from trading outcomes, despite arriving late and being obscured by market noise, can be effectively incorporated into prompt adaptation to produce systematic performance gains over time.

C3one line summary

ATLAS is a multi-agent LLM trading system that employs Adaptive-OPRO for real-time prompt optimization using stochastic feedback, outperforming fixed prompts in equity regime studies across multiple model families.

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2 papers in Pith

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First computed 2026-05-21T02:04:53.707645Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fc40f7977beffc5d1804d916f3c0dfde648a8766887eac1c4defc7365c2c6989

Aliases

arxiv: 2510.15949 · arxiv_version: 2510.15949v5 · doi: 10.48550/arxiv.2510.15949 · pith_short_12: 7RAPPF33576F · pith_short_16: 7RAPPF33576F2GAE · pith_short_8: 7RAPPF33
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RAPPF33576F2GAE3ELPHQG73Z \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fc40f7977beffc5d1804d916f3c0dfde648a8766887eac1c4defc7365c2c6989
Canonical record JSON
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    "submitted_at": "2025-10-10T13:01:51Z",
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