gym-continuousDoubleAuction

Unverified ML strategy on Multi by ChuaCheowHuan. BotFinder score 18 out of 100.

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 u

Source: github

Explorer/Multi/gym-continuousDoubleAuction
18
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MultiMLMedium risk⚠ Unverified

gym-continuousDoubleAuction

ChuaCheowHuanGitHub
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7.3y
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About

gym-continuousDoubleAuction

Changes from originalv1 to Current Version 2 (update 20251224) This repository has undergone significant modernization since the originalv1 branch (the original release from 2020, READMEv1.md). For a detailed breakdown of codebase modernizations, please refer to the 17changelog.md document. --- Version 2 README: The system at a glance One environment step, end to end. Every box is a real function; the labels on the arrows are what actually crosses between them. Full detail: 02architecture.md §2.5 for the step lifecycle, §2.9 for the same picture with the distributed boundaries drawn in. Documentation map Start here | # | Document | What it answers | |---|---|---| | 1 | 01overview.md | What this project is, the market it models, the research question, what an episode looks like | | 26 | 26runbook.md | Install, check, train, resume, inspect, probe and pretrain, step by step, with what to watch and a troubleshooting table | | 2 | 02architecture.md | Layer map, package tree, the mixin/MRO chain, the step lifecycle, config keys, data flow, tech stack | Core mechanisms (reference) | # | Do

PythonMITOpen-sourcedouble-auctionfinancial-engineeringgym-environmenthigh-frequency-tradinglimit-order-booklstmmarket-microstructuremarl
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Source
ChuaCheowHuan
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars154
Forks32
Open issues0
LanguagePython
LicenseMIT
Last update2026-09-19
Created2019-07-20
Website
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