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AIOQuant

AIOQuant 是一套使用 Python 语言开发的 异步事件驱动 的 量化交易 / 做市 系统，它被设计为适应中高频策略的交易系统，底层封装了操作系统的 aio*库 实现异步事件循环，业务层封装了 RabbitMQ消息队列 实现异步事件驱动，再加上 Python 语言的简单易用，它非常适用于数字货币的高频策略和做市策略开发。

AIOQuant 同时也被设计为一套完全解耦的量化交易系统，其主要模块包括 行情系统模块、资产系统模块、交易系统模块、风控系统模块、存储系统模块，各个模块都可以任意拆卸和组合使用，甚至采用不同的开发语言设计重构，模块之间通过 RabbitMQ消息队列 相互驱动，所以不同模块还可以部署在不同的进程，或不同服务器。

AIOQuant 提供了简单而强大的功能：

基于 Python Asyncio 原生异步事件循环，处理更简洁，效率更高；
跨平台（Windows、Mac、Linux），可任意私有化部署；
任意交易所的交易方式（现货、合约、期货）统一，相同策略只需要区别不同配置，即可无缝切换任意交易所；
所有交易所的行情统一，并通过事件订阅的形式，回调触发策略执行不同指令；
支持任意多个策略协同运行；
支持任意多个策略分布式运行；
毫秒级延迟（一般瓶颈在网络延迟）；
提供任务、监控、存储、事件发布等一系列高级功能；
定制化Docker容器，分布式配置、部署运行；
量化交易Web管理系统，通过管理工具，轻松实现对策略、风控、资产、服务器等进程或资源的动态管理；
AIOQuant 交易系统各大模块
AIOQuant 分布式管理交易系统

框架依赖

运行环境
- python 3.5.3 或以上版本(建议安装3.6版本)
依赖python三方包
- aiohttp>=3.2.1
- aioamqp>=0.13.0(可选)
- motor>=2.0.0 (可选)
RabbitMQ服务器
- 事件发布、订阅
MongoDB数据库(可选)
- 数据存储

安装

使用 pip 可以简单方便安装:

pip install aioquant

Demo使用示例

推荐创建如下结构的文件及文件夹:

ProjectName
    |----- docs
    |       |----- README.md
    |----- scripts
    |       |----- run.sh
    |----- config.json
    |----- src
    |       |----- main.py
    |       |----- strategy
    |               |----- strategy1.py
    |               |----- strategy2.py
    |               |----- ...
    |----- .gitignore
    |----- README.md

快速体验 Demo 示例
运行

python src/main.py config.json

有任何问题，欢迎联系

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