---
title: AI in Day Trading
url: https://www.ml-quant.com/papers/ssrn/5246516/
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 5246516
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5246516
featured: 2025-06-25
citations: unknown
topic: Trading, Microstructure & Execution
---


# AI in Day Trading

A new intraday trading strategy for the USTEC CFD, using a large language model to filter trading signals based on news sentiment, boosts profitability.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5246516
- Identifier: SSRN 5246516
- Released: 2025-06-16
- First featured: Quant Letter No. 103 (2025-06-25): https://www.ml-quant.com/issues/2025-06-25/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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