---
title: Bitcoin, Sentiment Analysis and the Efficient Market Hypothesis: A Machine Learning Approach
url: https://www.ml-quant.com/papers/ssrn/4610497/
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 4610497
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4610497
featured: 2023-10-25
citations: 0
topic: Crypto & DeFi
---


# Bitcoin, Sentiment Analysis and the Efficient Market Hypothesis: A Machine Learning Approach

Machine learning models used to predict Bitcoin trends support the Efficient Market Hypothesis and can yield higher returns than traditional strategies.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4610497
- Identifier: SSRN 4610497
- Released: 2023-01-28
- First featured: Quant Letter No. 23 (2023-10-25): https://www.ml-quant.com/issues/2023-10-25/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Crypto & DeFi

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