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Sentiment Analysis

Sentiment Trading with Large Language Models

Finance Research Letters · 2024

What this means for traders

LLM-based sentiment reading produces Sharpe ratios more than twice as high as traditional dictionary methods.

Abstract

This study compares dictionary-based methods with modern LLMs for sentiment analysis. Strategies based on OPT-66B generated a Sharpe Ratio of 3.05, significantly outperforming traditional methods (Sharpe 1.23).

Sentiment AnalysisLLMsTrading StrategiesAlpha Generation
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