Hybrid LSTM and PPO Networks for Dynamic Portfolio Optimization

By Jun Kevin, Pujianto Yugopuspito

Published 2025-11-22

Everscope rating

1086.1

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: Hybrid LSTM-PPO Framework. Problem types: Portfolio Optimization, Time Series Forecasting, Reinforcement Learning, Optimization.

arXiv:2511.17963 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.