---
title: Hybrid Model for Cryptocurrency Forecasting
url: https://www.ml-quant.com/papers/ssrn/4727350/
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 4727350
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4727350
featured: 2024-02-21
citations: unknown
topic: Crypto & DeFi
---


# Hybrid Model for Cryptocurrency Forecasting

A new forecasting model that combines Discrete Wavelet Transform and Long Short-Term Memory network is presented to predict cryptocurrency returns, using specific economic indicators.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4727350
- Identifier: SSRN 4727350
- Released: 2024-02-15
- First featured: Quant Letter No. 38 (2024-02-21): https://www.ml-quant.com/issues/2024-02-21/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Crypto & DeFi

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