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Windows MiniQMT gateway server.

Project description

qmtserver

PyPI Downloads Python Wheel uv License CI Ask Zread

qmtserver 是一个面向 MiniQMT / xtquant 的本地 Windows 网关服务。它把 MiniQMT 能力封装为 HTTP RPC 和 WebSocket,方便其他机器通过网络访问。

重要说明

  • qmtserver 是非官方开源项目,不隶属于迅投、QMT、MiniQMT 或任何券商。
  • 服务端运行环境限定为 Windows + Python 3.12/3.13。
  • 交易相关接口默认关闭,并且默认 dry-run。
  • 本项目不提供投资建议;真实交易风险由使用者自行承担。

特性

  • CLI 连接检查:验证行情连接、交易连接、账号订阅和资金查询。
  • 本地 HTTP RPC 网关:提供 /v1/rpc 和白名单方法转发。
  • 稳定行情 API:提供 capabilities、daily bars、intraday bars 和标准 metadata。
  • 实时行情订阅:提供 /v1/market/subscriptions 生命周期 API 和 WebSocket quote event。
  • 稳定只读交易查询:提供 account status、asset、positions、orders 和 trades。
  • Snapshot 与历史任务:支持 CSV snapshot、manifest、下载任务和运行诊断。
  • 数据准备接口:提供交易日历、标的列表、instrument detail 和数据质量报告。
  • 透明 RPC 实验模式:显式开启后可受控探索白名单外的公开 xtquant 方法。
  • 交易保护:token 鉴权、交易开关、dry-run、账号/代码/限额校验和审计日志。
  • WebSocket 事件:推送连接状态、行情、订阅生命周期、委托回报、成交回报和错误事件。
  • 内置 Python 兼容客户端:用于验证 /v1 API;独立客户端请使用 qmtclient。

当前版本节奏见 Release Plan

快速开始

PyPI 安装

普通使用不需要 clone 仓库,可以直接从 PyPI 安装 qmtserver 和 PyPI 版 xtquant

python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install "qmtserver[xtquant]"

源码安装

需要本地开发或运行仓库内测试时,先 clone 项目并进入项目目录:

git clone https://github.com/gly11/qmtserver.git
cd qmtserver
uv sync --extra xtquant

uv sync --extra xtquant 会安装项目依赖和 PyPI 版 xtquant。 如需启用后续高性能行情数据缓存骨架,可使用:

uv sync --extra xtquant --extra data

如果 PyPI 版落后,也可以从迅投知识库下载新版后覆盖安装:

先启动并登录 MiniQMT,再检查连接:

$userdata = "D:\path\to\MiniQMT\userdata_mini"
$account = "资金账号"
uv run qmtserver check --userdata $userdata --account-id $account

启动本地网关:

uv run qmtserver serve --userdata $userdata --account-id $account

如果本机同时保留模拟和实盘配置,可以使用本地 profile 切换:

uv run qmtserver env use sim
uv run qmtserver serve --profile sim

默认监听:

http://127.0.0.1:8000

常用入口:

GET  /v1/health
GET  /v1/qmt/status
GET  /v1/trader/account-status
GET  /v1/trader/asset
GET  /v1/trader/positions
GET  /v1/trader/orders
GET  /v1/trader/trades
GET  /v1/market/capabilities
GET  /v1/market/bars/daily
GET  /v1/market/bars/intraday
POST /v1/market/subscriptions
GET  /v1/market/subscriptions
GET  /v1/market/quotes/latest
GET  /v1/market/subscriptions/{subscription_id}/diagnostics
DELETE /v1/market/subscriptions/{subscription_id}
POST /v1/market/subscriptions/{subscription_id}/recover
POST /v1/snapshots
POST /v1/jobs/history-download
POST /v1/market/data/download
GET  /v1/market/data/bars
GET  /v1/market/data/coverage
GET  /v1/market/data/quality
GET  /v1/market/data/jobs/{job_id}
POST /v1/market/data/exports
GET  /v1/market/data/exports
GET  /v1/market/data/exports/{export_id}
GET  /v1/market/data/exports/{export_id}/download
DELETE /v1/market/data/exports/{export_id}
GET  /v1/diagnostics
GET  /v1/reference/calendar
GET  /v1/market/bars/daily/quality
GET  /v1/snapshots/{snapshot_id}/quality
GET  /v1/rpc/methods
POST /v1/rpc
WS   /v1/ws/events

内置兼容客户端

from qmtserver.client import QmtClient

client = QmtClient("http://127.0.0.1:8000", token="dev-token")
print(client.health())
print(client.status())
print(client.xtdata.get_full_tick(["000001.SZ"]))
print(client.trader_asset(account_id="资金账号"))

新的策略项目建议使用独立包 qmtclient;本仓库内置客户端主要用于服务端兼容性验证。

文档

开发

uv run python -m unittest discover
uv run ruff check .
uv run ruff format --check .
uv run ty check

许可证

本项目使用 MIT License,详见 LICENSE

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