---
title: Emoji driven crypto assets market reactions
url: https://www.ml-quant.com/papers/ssrn/4722627/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4722627
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4722627
featured: 2024-02-14
citations: 5
topic: Crypto & DeFi
---


# Emoji driven crypto assets market reactions

Research using GPT4 and a BERT model shows that Twitter emoji sentiment can predict cryptocurrency market trends and help avoid major downturns.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4722627
- Identifier: SSRN 4722627
- Released: 2024-02-11
- First featured: Quant Letter No. 37 (2024-02-14): https://www.ml-quant.com/issues/2024-02-14/
- Citations (Semantic Scholar): 5
- Published in: Management & Marketing
- Topic: Crypto & DeFi

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