Expert-guided Deep Reinforcement Learning for Autonomous Financial Asset Trading

This repository presents an open-source model designed to enhance financial trading performance through experts within a Deep Reinforcement Learning (DRL) pipeline. The core contribution is the usage of expert-guided features in the training of the financial trading agent, along with well-established training features.

Example

A complete ready to use example is provided:

python3 expert_training.py

Acknowledgments

This work has received funding from the research project ”Energy Efficient and Trustworthy Deep Learning - DeepLET” is implemented in the framework of H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union – NextGenerationEU (H.F.R.I. Project Number: 16762). This publication reflects the authors’ views only. The European Commission is not responsible for any use that may be made of the information it contains.