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XtQuant Python SDK for QMT/miniQMT — market data (xtdata) and trading (xttrade) interface for Chinese securities.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install coderwpf/xtquant打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
XtQuant is the Python SDK for QMT/miniQMT quantitative trading platform by 迅投科技. It consists of two core modules:
⚠️ Requires miniQMT or QMT client running locally. XtQuant connects to the local QMT process via TCP. You need a broker account with QMT/miniQMT access enabled.
pip install xtquant
Or download from: http://dict.thinktrader.net/nativeApi/download_xtquant.html
Your Python Script
↓ (xtquant SDK)
├── xtdata → miniQMT (market data server)
└── xttrade → miniQMT (trading server)
↓
Broker Trading System
from xtquant import xtdata
# Connect to miniQMT (default localhost)
xtdata.connect()
# Download historical K-line
xtdata.download_history_data('000001.SZ', '1d', start_time='20240101', end_time='20240630')
# Get local K-line data
data = xtdata.get_market_data_ex([], ['000001.SZ'], period='1d', start_time='20240101', end_time='20240630')
print(data['000001.SZ'])
from xtquant import xttrader
from xtquant.xttrader import XtQuantTrader
from xtquant.xttype import StockAccount
# Create trader instance
path = r'D:\国金证券QMT交易端\userdata_mini' # miniQMT userdata path
session_id = 123456
xt_trader = XtQuantTrader(path, session_id)
# Connect and start
xt_trader.start()
# Create account
account = StockAccount('your_account_id')
# Place order: buy 100 shares of 000001.SZ
order_id = xt_trader.order_stock(account, '000001.SZ', xtconstant.STOCK_BUY, 100, xtconstant.FIX_PRICE, 11.5)
# Query positions
positions = xt_trader.query_stock_positions(account)
for pos in positions:
print(pos.stock_code, pos.volume, pos.market_value)...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# XtQuant (迅投QMT Python SDK)
XtQuant is the Python SDK for [QMT/miniQMT](http://www.thinktrader.net) quantitative trading platform by 迅投科技. It consists of two core modules:
- **xtdata** — Market data (行情模块): real-time quotes, historical K-lines, tick data, Level2 data, financial data
- **xttrade** — Trading (交易模块): order placement, position/order queries, account management
> ⚠️ **Requires miniQMT or QMT client running locally**. XtQuant connects to the local QMT process via TCP. You need a broker account with QMT/miniQMT access enabled.
## Install
```bash
pip install xtquant
```
Or download from: http://dict.thinktrader.net/nativeApi/download_xtquant.html
## Architecture
```
Your Python Script
↓ (xtquant SDK)
├── xtdata → miniQMT (market data server)
└── xttrade → miniQMT (trading server)
↓
Broker Trading System
```
## Quick start — Market data
```python
from xtquant import xtdata
# Connect to miniQMT (default localhost)
xtdata.connect()
# Download historical K-line
xtdata.download_history_data('000001.SZ', '1d', start_time='20240101', end_time='20240630')
# Get local K-line data
data = xtdata.get_market_data_ex([], ['000001.SZ'], period='1d', start_time='20240101', end_time='20240630')
print(data['000001.SZ'])
```
## Quick start — Trading
```python
from xtquant import xttrader
from xtquant.xttrader import XtQuantTrader
from xtquant.xttype import StockAccount
# Create trader instance
path = r'D:\国金证券QMT交易端\userdata_mini' # miniQMT userdata path
session_id = 123456
xt_trader = XtQuantTrader(path, session_id)
# Connect and start
xt_trader.start()
# Create account
account = StockAccount('your_account_id')
# Place order: buy 100 shares of 000001.SZ
order_id = xt_trader.order_stock(account, '000001.SZ', xtconstant.STOCK_BUY, 100, xtconstant.FIX_PRICE, 11.5)
# Query positions
positions = xt_trader.query_stock_positions(account)
for pos in positions:
print(pos.stock_code, pos.volume, pos.market_value)...Search and hire real humans for tasks — photography, delivery, research, and more
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