raehyuns/qtrader

Reinforcement Learning for Portfolio Management

qtrader

Reinforcement Learning for Portfolio Management

Why Reinforcement Learning?

1. Learns the optimal action, rather than models the market.
2. Adaptive to temporary changes of the market, due to its online training.
3. Optimizes the long-term (cumulative) reward, rather than the instantaneous benefit.

Setup

Exclusively Python 3 compatible, because of typings

macOS

• source scripts/setup.sh

Documentation

• Interim Report: Introduction to qtrader
• Papers Review: Motivation, pros & cons of existing methods
• Resources: List of relevant resources
• Final Report: Master's Thesis
• Presentation: 15 minutes project presentation