# ChuaCheowHuan/gym-continuousDoubleAuction

<https://repo.masters-masters.com/en/repos/ChuaCheowHuan/gym-continuousDoubleAuction>

[Home](https://repo.masters-masters.com/en) › [ChuaCheowHuan](https://repo.masters-masters.com/en/owners/ChuaCheowHuan) › [gym-continuousDoubleAuction](https://repo.masters-masters.com/en/repos/ChuaCheowHuan/gym-continuousDoubleAuction)

ChuaCheowHuan/gym-continuousDoubleAuction has 155 stars on GitHub. Its RepoMasters card: Prototype tier. A custom MARL (multi-agent reinforcement learning)…

| Field | Value |
| --- | --- |
| Owner | [ChuaCheowHuan](https://repo.masters-masters.com/en/owners/ChuaCheowHuan) |
| Stars | 155 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | multi-agent-reinforcement-learning, gym-environment, limit-order-book, high-frequency-trading, ray, rllib, market-microstructure, financial-engineering, self-play, double-auction |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChuaCheowHuan/gym-continuousDoubleAuction](https://github.com/ChuaCheowHuan/gym-continuousDoubleAuction) |

## Repository

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray \[RLlib\] is used for training.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.