smq/directoryAn evolving quant resource archive
Paper / 2024SMQ / 92639435586467
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution
algorithmic trading / portfolio managementResource overview

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution

Paper2024

by Roy E. Welsch, Zijie Zhao

Tags
algorithmic tradingportfolio managementreinforcement learningrisk managementtransaction costs

Continue on SelfMadeQuant

Understand this paper

Suggested foundations for trading research and honest backtests and portfolio construction. Specialist prerequisites vary by paper.

Before you read

Go further

Explore a related reading path