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FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

6 code implementations19 Nov 2020

In this paper, we introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.

reinforcement-learning Reinforcement Learning (RL) +1

TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning

1 code implementation NeurIPS 2023

Despite the availability of abundant financial data and advanced RL techniques, a remarkable gap still exists between the potential and realized utilization of RL in financial trading.

Online Portfolio Selection: A Survey

2 code implementations10 Dec 2012

This article aims to provide a timely and comprehensive survey for both machine learning and data mining researchers in academia and quantitative portfolio managers in the financial industry to help them understand the state-of-the-art and facilitate their research and practical applications.

BIG-bench Machine Learning Meta-Learning

The FinBen: An Holistic Financial Benchmark for Large Language Models

2 code implementations20 Feb 2024

This along with the rapid development of LLMs, highlights the urgent need for a systematic financial evaluation benchmark for LLMs.

Graph Auto-Encoders for Financial Clustering

2 code implementations26 Nov 2021

Due to the ubiquity of graph data, and its ability to hold multiple dimensions of information, graph deep learning has become a fast emerging field.

Clustering

Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review

1 code implementation31 May 2021

Algorithmic stock trading has become a staple in today's financial market, the majority of trades being now fully automated.

Algorithmic Trading reinforcement-learning +1

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