---
title: Deep Learning for Price Trend Prediction in ETF Markets
url: https://www.ml-quant.com/papers/ssrn/4524134/
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 4524134
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4524134
featured: 2023-08-02
citations: unknown
topic: Portfolio & Allocation
---


# Deep Learning for Price Trend Prediction in ETF Markets

The channel and spatial attention convolutional neural network (CSACNN) uses deep learning to predict financial market trends, performing as well or better than models using only time series data.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4524134
- Identifier: SSRN 4524134
- Released: 2022-08-02
- First featured: Quant Letter No. 10 (2023-08-02): https://www.ml-quant.com/issues/2023-08-02/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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