FinLLM-KG: Knowledge Graph-Enhanced LLMs for Financial Sentiment Analysis in Algorithmic Trading

Author1, Author2, Author3, Author4, Author5

financial sentiment analysisknowledge graphalgorithmic tradingexplainability

2610.36083

Builder Relevance

80%

1h ago

Abstract

FinLLM-KG enhances financial sentiment analysis by integrating a knowledge graph with causal LLMs to improve contextual understanding and decision-making in algorithmic trading.

Reality Card

Core Claim

FinLLM-KG improves sentiment predictions by incorporating company-level knowledge from SEC 10-K filings, leading to better portfolio performance compared to state-of-the-art methods.

Method / Result

FinLLM-KG consistently improves portfolio performance over the state-of-the-art baseline.

Limitations

The model operates as a black box for existing LLMs, which may limit broader applicability and understanding.

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