danilocorsi/LLMs-Sentiment-Augmented-Bitcoin-Dataset
Leveraging LLMs for Informed Bitcoin Trading Decisions: Prompting with Social and News Data Reveals Promising Predictive Abilities The work was carried out by: Danilo Corsi Cesare Campagnano Description This project investigates the potential of leveraging Large Language Models (LLMs) to support Bitcoin traders. Specifically, we analyze the correlation between Bitcoin price movements and sentiment expressed in news headlines, posts, and comments on social media.… See the full description on the dataset page: https://huggingface.co/datasets/danilocorsi/LLMs-Sentiment-Augmented-Bitcoin-Dataset.
| Author / organization | danilocorsi |
|---|---|
| License (as declared) | mit |
| Downloads | 187 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 8 October 2024 |
| Last updated at source | 26 November 2024 |
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