---
title: Machine Learning for Bitcoin Trading
url: https://www.ml-quant.com/papers/repec/wly-jforec-v-42-y-2023-i-4-p-852-871/
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:wly:jforec:v:42:y:2023:i:4:p:852-871
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Ffor.2922%3Bh%3Drepec%3Awly%3Ajforec%3Av%3A42%3Ay%3A2023%3Ai%3A4%3Ap%3A852-871
featured: 2023-06-07
citations: unknown
topic: Crypto & DeFi
---


# Machine Learning for Bitcoin Trading

Machine learning and narrative sentiments used to trade Bitcoin, with gradient boosting framework and time-varying leverage strategy enhancing performance.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Ffor.2922%3Bh%3Drepec%3Awly%3Ajforec%3Av%3A42%3Ay%3A2023%3Ai%3A4%3Ap%3A852-871
- Identifier: RePEc:wly:jforec:v:42:y:2023:i:4:p:852-871
- Released: 2023-06-07
- First featured: Quant Letter No. 3 (2023-06-07): https://www.ml-quant.com/issues/2023-06-07/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Crypto & DeFi

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