Work

FinRL Contest 2025 Task 1:Market-Aware In-Context Learning Framework for Proximal Policy Optimization in Stock Trading Using DeepSeek

Year: 2025

Type: conference-paper

DOI: 10.1109/ids66066.2025.00024

Authors: Sahar Arshad, Huma Ameer, Nikhar Azhar, Seemab Latif

Institution: National University of Sciences and Technology

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4411447274

FWCI: 5.048

Cites: 5

Cited by: 2

Related to: 10