---
title: Algorithmic Stock Trading with Ensemble Deep Neural Networks
url: https://www.ml-quant.com/papers/ssrn/4732659/
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 4732659
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4732659
featured: 2024-02-21
citations: unknown
topic: Trading, Microstructure & Execution
---


# Algorithmic Stock Trading with Ensemble Deep Neural Networks

The study proposes an ensemble network that uses various graph representations and time series data for financial forecasting and investment strategy formulation.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4732659
- Identifier: SSRN 4732659
- Released: 2024-02-20
- 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: Trading, Microstructure & Execution

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