---
title: Bitcoin Crash Prediction Framework
url: https://www.ml-quant.com/papers/repec/gam-jstats-v-7-y-2024-i-2-p-25-433-d-1390045/
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: RePEc:gam:jstats:v:7:y:2024:i:2:p:25-433:d:1390045
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2571-905X%2F7%2F2%2F25%2Fpdf%3Bh%3Drepec%3Agam%3Ajstats%3Av%3A7%3Ay%3A2024%3Ai%3A2%3Ap%3A25-433%3Ad%3A1390045
featured: 2024-05-15
citations: unknown
topic: Crypto & DeFi
---


# Bitcoin Crash Prediction Framework

The article talks about a new deep learning framework that uses contrastive learning to predict Bitcoin market crashes. This model outperforms six other models by 15.8% in terms of balanced accuracy.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2571-905X%2F7%2F2%2F25%2Fpdf%3Bh%3Drepec%3Agam%3Ajstats%3Av%3A7%3Ay%3A2024%3Ai%3A2%3Ap%3A25-433%3Ad%3A1390045
- Identifier: RePEc:gam:jstats:v:7:y:2024:i:2:p:25-433:d:1390045
- Released: 2024-05-15
- First featured: Quant Letter No. 49 (2024-05-15): https://www.ml-quant.com/issues/2024-05-15/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Crypto & DeFi

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