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abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

Model DevelopmentEnvironmentsPython
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创建于 2019-03-06 · 更新于 2026-10-13 · 今日第 16567 名
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abides-sim/abides 排名第 16,567，有 584 个星标。

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abides-sim/abides 排名第 16,567，此处有 8 个同类条目；ScalaConsultants/Aspect-Based-Sentiment-Analysis 排名第 16,565。

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关键参数与规格
关键参数与规格
参数值
语言Python
类别Model Development
子类别Environments
关键词Agent sandbox, Deep Research, Finance, Trading
星标数584
分叉数166
贡献者3
创建日期2019-03-06
更新日期2026-10-13
1 天星标数0
7 天星标数5
排名16,567
上次排名16,352
排名变化-215
7 天星标排名5,773
上次 7 天星标排名5,792
7 天星标排名变化19
总星标排名17,146
上次总星标排名17,114
总星标排名变化-32
README 摘录

ABIDES: Agent-Based Interactive Discrete Event Simulation environment ABIDES is an Agent-Based Interactive Discrete Event Simulation environment. ABIDES is designed from the ground up to support AI agent research in market applications. While simulations are certainly available within trading firms for their own internal use, there are no broadly available high-fidelity market simulation environments. We hope that the availability of such a platform will facilitate AI research in this important area. ABIDES currently enables the simulation of tens

of thousands of trading agents interacting with an exchange agent to facilitate transactions. It supports configurable pairwise network latencies between each individual agent as well as the exchange. Our simulator's message-based design is modeled after NASDAQ's published equity trading protocols ITCH and OUCH. Please see our arXiv paper for preliminary documentation: Please see the wiki for tutorials and example configurations: Quickstart

常见问题

记录了多少星标和分叉？

abides-sim/abides 有 584 个星标和 166 个分叉。

仓库排名是多少？

abides-sim/abides 排名第 16,567。

记录的语言和类别是什么？

abides-sim/abides 有 584 个星标，语言为 Python，类别为 Model Development。

哪个仓库排名最接近？

abides-sim/abides 与 ScalaConsultants/Aspect-Based-Sentiment-Analysis 比较，后者排名第 16,565，有 584 个星标。

README

ABIDES: Agent-Based Interactive Discrete Event Simulation environment

ABIDES is an Agent-Based Interactive Discrete Event Simulation environment. ABIDES is designed from the ground up to support AI agent research in market applications. While simulations are certainly available within trading firms for their own internal use, there are no broadly available high-fidelity market simulation environments. We hope that the availability of such a platform will facilitate AI research in this important area. ABIDES currently enables the simulation of tens of thousands of trading agents interacting with an exchange agent to facilitate transactions. It supports configurable pairwise network latencies between each individual agent as well as the exchange. Our simulator's message-based design is modeled after NASDAQ's published equity trading protocols ITCH and OUCH.

Please see our arXiv paper for preliminary documentation:

https://arxiv.org/abs/1904.12066

Please see the wiki for tutorials and example configurations:

https://github.com/abides-sim/abides/wiki

Quickstart

mkdir project
cd project

git clone https://github.com/abides-sim/abides.git
cd abides
pip install -r requirements.txt
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