---
title: DeepTraderX: Disrupting trading strategies with deep learning
url: https://www.ml-quant.com/papers/ssrn/4692622/
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 4692622
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4692622
featured: 2024-01-17
citations: unknown
topic: Trading, Microstructure & Execution
---


# DeepTraderX: Disrupting trading strategies with deep learning

Disrupting trading strategies with deep learning: The paper presents DeepTraderX, a Deep Learning-based trader that learns from market prices, and demonstrates its successful performance in a multithreaded market simulation.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4692622
- Identifier: SSRN 4692622
- Released: 2023-10-20
- First featured: Quant Letter No. 33 (2024-01-17): https://www.ml-quant.com/issues/2024-01-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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