KodAgge/Reinforcement-Learning-for-Market-Making

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

/ 100

Emerging

238 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 1 / 25

Community 22 / 25

Stars

238

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Jun 29, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KodAgge/Reinforcement-Learning-for-Market-Making"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

quantylab/rltrader

파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)

erhardtconsulting/tensortrade-ng

TensorTrade-NG is an open source Python framework for building, training, evaluating, and...

matlab-deep-learning/reinforcement_learning_financial_trading

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

TradeMaster-NTU/TradeMaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement...

Amey-Thakur/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING

Machine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning.