Jun 25, 2023 · This paper introduces a standardized experimental procedure for comprehensive evaluations. We detail the methodology using three distinct LLMs.
Abstract. The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies.
The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies.
LLMs excel in analyzing sentiments about listed companies from financial news, providing critical insights for trading decisions.
Can Large Language Models Predict Chinese Stock Price Movements?
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Jun 25, 2023 · This discourse primarily revolves around harnessing the remarkable comprehension capabilities of LLMs to extract sentiment factors which ...
May 6, 2024 · This paper explores the intersection of Natural Language Processing (NLP) and financial analysis, focusing on the impact of sentiment analysis ...
Mar 17, 2024 · We utilize large language models (LLMs) to extract contextualized representations of Chinese news text and predict stock returns in Chinese ...
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Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements? ... potential to enhance quantitative trading strategies.
Can ChatGPT Forecast Stock Price Movements? Return Predictability ...
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The capability of large language models like ChatGPT to predict stock price movements using news headlines, even without direct financial training, ...
Similarly, Tan, Wu and Zhang (2023) utilize large language models (LLMs) to extract contextualized representations of Chinese news text and predict stock ...