Skip to main content

PeopleQuant trading CTP API package

Project description

PeopleQuant

CTP接口的Python版,跨平台的交易接口,精而美的Python SDK。
CTP接口是连接交易柜台的门户,本项目力图解决交易前的风控、交易后的数据反馈、各种交易场景下的数据查询,解决交易上的“最后一公里问题”,并能嵌入其他交易平台,借助其他平台的优势,以及结合Python支持的科学计算、机器学习、AI等现代技术,开发各种高效策略。

ThostFtdcTraderApi.h C++头文件,包含交易相关的指令,如报单。
ThostFtdcMdApi.h C++头文件,包含获取行情相关的指令。
ThostFtdcUserApiStruct.h 包含了所有用到的数据结构。
ThostFtdcUserApiDataType.h 包含了所有用到的数据类型。
thosttraderapi_se.dll 交易部分的动态链接库。
thosttraderapi_se.lib 交易部分的静态链接库。
thostmduserapi_se.dll 行情部分的动态链接库。
thostmduserapi_se.lib行情部分的静态链接库。
error.dtd 包含所有可能的错误信息。
error.xml包含所有可能的错误信息

本项目基于openctp编译的Python版CTP接口开发。
CTP原生接口的交易接口和行情接口编译成Python版接口后形成了如下文件列表:

_thostmduserapi.pyd
_thosttraderapi.pyd
thostmduserapi.py
thostmduserapi_se.dll
thosttraderapi.py
thosttraderapi_se.dll

本项目采用openctp项目中编译好的Python接口。接口地址:openctp接口文件

框架的层次结构图如下:
3FFC60F5F890D0FDBC2B8E0B2F937DE9

CTP框架的设计思路:
一、 流控
客户端主动发起的指令,如果频率过高,可能对CTP柜台造成压力,所以CTP对指令设了流量控制,流控分为4类:
1、 查询流:
在途1笔,在途的含义是指令发出到响应收完之前(bIsLast为False),只有响应收完(bIsLast为True),才可以发送下一笔查询。但1秒只能查询1次,时间上也做了频率流控。
2、 报单/撤单流:
报单/撤单设置频率流控,一般是1秒6笔,报单和撤单分开算,且不同合约分开算。
3、 FTD报文流控:
报文流控为综合流控,包括所有的指令(登录、查询、报单等),一般是1秒6笔。
4、 会话数流控:
一个登录连接称为一个会话session,一般会话数为6,即只允许账户同时登录6个会话,包括手机、电脑端的程序。同时登录账户数不超过6,超过次数的登录会被拒绝。

查询流和FTD报文流控是会话session级别的,表示一个会话的最大流量,可以通过增加登录会话突破流控,但又会受最大会话数限制。  
报单/撤单流控是投资者级别的,对所有的会话的报撤单做汇总流控,只能通过分账户突破该流控。根据最新的程序化交易管理规定,“在1个交易日内出现10次(含)以上1秒钟内10笔(含)以上报撤单的,具有实际控制关系的账户按照一个账户管理”,可能要被认定高频交易,除了需要报备,还可能取消手续费返还。  
查询流在CTP本端流控,超过流控时会被直接拒绝,不会通过网络发出,其他指令则是发向柜台后被流控,指令发向柜台后如果超过了流控,会进入排队,不会被直接拒绝,但若频率过高总是超过柜台流控,可能会被期货公司拒绝接入,所以最好也在本地做好这些流控。  
接口参数中默认流控为:_FTDmaxsize={"Session":6, "ReqQry":1,"OrderInsert":6,"OrderAction":6}  
在CTP6.7.9及以上版本中可以查询到FTD和查询流控,后台会根据查询到的数据更新Session和ReqQry  

二、 持仓、资金
策略层若没有其他持仓数据的接口来源,只能通过CTP底层读取,则需要跟随行情实时计算,跟随委托单、成交单实时计算。

三、 事前风控
策略层不能拿到持仓数据做风控,就需要在CTP底层做风控,对报单参数检查,价格是最小变动价位整数,对可用资金检查,等等。

四、 事后反馈
结果记录日志,并向策略层反馈。

五、 多线程/多进程
CTP底层、策略层、数据分析层采用多线程或多进程设计,各层分工,避免相互阻塞。

六、 业务数据及业务函数阻塞逻辑
PeopleQuant中的业务数据为持仓、委托单、成交单、账户资金、行情快照,均为字典格式,CTP推送业务数据时,后台会完成数据的更新,字典是可变数据类型,业务函数返回的数据会自动跟着更新,因此无需重复使用业务函数获取数据。
PeopleQuant中的业务函数设计为阻塞模式,即调用业务函数向CTP查询数据时,需要等待结果反馈,若查询成功,返回值会得到业务数据,若查询失败,则返回None或缺省值。
调用业务函数时,首先会从内存中查询是否已存在数据,例如合约的行情已经订阅,就直接从内存中取,无需重复订阅,持仓数据已在内存中更新,就直接返回相应持仓,无需重复向CTP查询持仓,这会大大增加执行效率,因为向CTP查询有1秒1次的查询流控,频繁查询会造成CTP更新滞后。
调用下单函数时,也会得到下单成功发出或失败的结果,下单成功发出时会返回委托单数据,下单失败会返回None,下单发到交易柜台再从柜台收到回报需要时间,这会增加执行耗时,对高频交易有影响,但及时获取到下单成败的结果,可以避免持续错误下单。
下单发向交易柜台之前,也会在本端对价格、可用手数、可用资金做下事前风控判断,避免错误的参数发向柜台。

目前本项目完成了CTP底层的基础开发,实现了交易所需的基本功能,可嵌入到其他交易平台中,利用其他平台计算的交易信号,调用本接口交易。
项目文件:

_thostmduserapi.pyd
_thosttraderapi.pyd
thostmduserapi.py
thostmduserapi_se.dll
thosttraderapi.py
thosttraderapi_se.dll
__init__.py    #包标识
ctpapi.cp38-win_amd64.pyd   #ctp接口编译文件
trade_mdforopenctp.py      #实际应用接口文件
zhuchannel.py              #接口所需的队列、线程类
zhustruct.py               #业务数据结构和K线生成类
example.py                 #策略示例
6.7.11_API接口说明.chm     #CTP接口说明

本项目推出两个Python版:旧版Python3.8,支持win7以上系统;最新版Python3.13,支持Win10以上系统。
对应两个CTP版本:6.7.2;最新版6.7.11。

安装教程

  1. 可从本项目仓库中下载所需版本。
  2. 从本项目下载ctpapi.cp38-win_amd64.pyd(ctpapi.cp313-win_amd64.pyd)、trade_mdforopenctp.py、zhuchannel.py、example.py,CTP接口文件从openctp官网下载。
    下载的所有文件放在一个文件夹即可

使用说明

  1. 字段说明:
    CTP接口中已有的字段保持原字段使用,CTP中的字段一般是大写字母开头(如InstrumentID表示合约代码),项目中新增的字段,例如持仓浮动盈亏(float_profit_long),采用小写字母开头,以做区分。
    CTP接口的字段含义可从API接口说明.chm和.h头文件中查询。

  2. 业务数据说明:
    持仓、行情、账户资金、委托单、成交单为字典格式,CTP底层推送数据时自动更新这些业务数据,使用时无需重复调用查询函数查询。

  3. 实例化:

if __name__ == '__main__':
    pqapi = PeopleQuantApi(BrokerID,UserID,PassWord,AppID, AuthCode,TradeFrontAddr,MdFrontAddr,s) #实例化
    account = pqapi.get_account()  #查询账户资金
    position1 = pqapi.get_position("FG601")  #查询持仓
    quote1 = pqapi.get_quote("FG601")    #查询行情
    position2 = pqapi.get_position("rb2601")  #查询持仓
    quote2 = pqapi.get_quote("rb2601")  #查询行情
    #print(position)
    #print(quote)
    #margin1 = p.get_symbol_marginrate("IH2509")  #查询保证金率
    margin2 = p.get_symbol_marginrate("TF2512")  #查询保证金率
    #print(margin1,"IH2509")
    print(margin2,"TF2512")
    UpdateTime = 0  #行情推送时间
    
    while True:
        #业务数据自动更新,无需重复调用查询函数查询
        if UpdateTime != quote1["UpdateTime"]:  #行情时间变动(UpdateTime字段精确到秒值)
            print(quote1["InstrumentID"],quote1["LastPrice"],quote1["UpdateTime"],)
            UpdateTime = quote1["UpdateTime"]
            print(position1 )
            print(quote2["InstrumentID"],quote2["LastPrice"],quote2["UpdateTime"],)
            print(position2 )
            print(account)
  1. 接口说明
get_account #查询账户资金
get_position #查询账户持仓
get_quote    #订阅行情
get_symbol_trade  #查询合约的成交单
get_symbol_order  #查询合约的委托单,活动单、结束单,开仓单、平仓单
get_id_order      #根据委托单编号查询委托单
get_trade_of_order  #查询委托单对应的成交单
get_order_risk      #查询订单风控,报单次数、撤单次数、开仓成交手数、自成交数、信息量、报单成交比
get_symbol_info    #查询合约属性,合约乘数、最小跳、到期日…
query_symbol_option  #查询合约对应的期权,按不同到期日分类,例如同一白糖合约有不同到期日的期权
get_option          #根据标的价格查询某档位的期权
open_close        #实用的开平仓下单及结果处理
"更多功能敬请期待……"

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

peoplequant-1.7.3-cp314-none-win_amd64.whl (16.1 MB view details)

Uploaded CPython 3.14Windows x86-64

peoplequant-1.7.3-cp314-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (15.9 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64

peoplequant-1.7.3-cp313-none-win_amd64.whl (16.0 MB view details)

Uploaded CPython 3.13Windows x86-64

peoplequant-1.7.3-cp313-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (16.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

peoplequant-1.7.3-cp312-none-win_amd64.whl (15.9 MB view details)

Uploaded CPython 3.12Windows x86-64

peoplequant-1.7.3-cp312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (15.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

peoplequant-1.7.3-cp311-none-win_amd64.whl (15.7 MB view details)

Uploaded CPython 3.11Windows x86-64

peoplequant-1.7.3-cp311-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

peoplequant-1.7.3-cp310-none-win_amd64.whl (15.7 MB view details)

Uploaded CPython 3.10Windows x86-64

peoplequant-1.7.3-cp310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (14.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

File details

Details for the file peoplequant-1.7.3-cp314-none-win_amd64.whl.

File metadata

  • Download URL: peoplequant-1.7.3-cp314-none-win_amd64.whl
  • Upload date:
  • Size: 16.1 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for peoplequant-1.7.3-cp314-none-win_amd64.whl
Algorithm Hash digest
SHA256 afdede1eb6a42afd3f3539281de62f42b79a984fbc09d4179dd3b2c08c163113
MD5 7203061a2c35dd6a1d6575ab01548e2b
BLAKE2b-256 3530ca6d8dd64aa8efdfa26c47ad1800c075c938a68b151a2eed63808b8ccc47

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp314-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for peoplequant-1.7.3-cp314-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 d6b09027d00ee4c2f0b7694ff31126d244bbc5ac905229c4e5fced5fa83010ad
MD5 bb4e839a546a462c32d1bdcac09974e2
BLAKE2b-256 2f025d89c57dd05fbd5b5295c32fcb3b8e53da129777a5df2c9b2cf04584c484

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp313-none-win_amd64.whl.

File metadata

  • Download URL: peoplequant-1.7.3-cp313-none-win_amd64.whl
  • Upload date:
  • Size: 16.0 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for peoplequant-1.7.3-cp313-none-win_amd64.whl
Algorithm Hash digest
SHA256 e79fe6d318b91b7c6ff510ebf41fdb9af67fd34beec157e9b06acf70cf4136f3
MD5 13524fe4560988ae4565a90bbeaff0c2
BLAKE2b-256 362126b64fb50b2cc48af902b9ce5f6f2f3aaa5815ccc2e9ba502dbc0d2ac714

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp313-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for peoplequant-1.7.3-cp313-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 3d1986d2089e25fa684d582b1671859a4f1fb9d86be96c2a82a8318464a6859c
MD5 61081c1e3eed48723dc282e92eeed57f
BLAKE2b-256 26c5fb0d866e516a0d1da2e30a4bd22fcafe1c8dfe8eba62f934723b5b5c7196

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp312-none-win_amd64.whl.

File metadata

  • Download URL: peoplequant-1.7.3-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 15.9 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for peoplequant-1.7.3-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 c0a8bcdc7cbef1cb1dc1ac46bf9be4999db6dfaa7299ce23c9b80ec2ee0bd6df
MD5 e8b0892fd906e29fe1961f6d26263335
BLAKE2b-256 2ec603eb39429f54a4bedba9aba79cf2e7ec894622be94a2b2ee4692ead77650

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for peoplequant-1.7.3-cp312-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 a00533c258a3cd74433fadaabadffe1e07322006f42959e67856b000f4504b0e
MD5 9f22a2038c6620a21aaa680358c507e0
BLAKE2b-256 678887d39239e84112bf3c75e577cd0c80b0370df117465c0965fd3ba19bd6f1

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp311-none-win_amd64.whl.

File metadata

  • Download URL: peoplequant-1.7.3-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 15.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for peoplequant-1.7.3-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 8c01f934cd5b9224a80926c66607810cd55722b2a7415c2f5a26c1ff31c52367
MD5 5a3a059aff54877770ab72722816ebd0
BLAKE2b-256 eb906aec67c486d01cd7f1e982febdecc16617f60b30a713ff652f350f738ca9

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp311-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for peoplequant-1.7.3-cp311-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 ea71e66a46347fbf5d45d55988701cd34d37029674770557243a9e7a2484d4e0
MD5 0151d628eec16826a7af734e1053bb76
BLAKE2b-256 c92cc60348e471dc9b3a18f03d0e03f2ff422f631585e6df891b2dc39b1ab6ac

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp310-none-win_amd64.whl.

File metadata

  • Download URL: peoplequant-1.7.3-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 15.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for peoplequant-1.7.3-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 53aad91dc282c52434d81624f56b1ebaa951265b8db45141386954e2148264de
MD5 eb5f6c6a506f9d6313702217d03474f0
BLAKE2b-256 2b690f77a90ea4f4d96f30e63747b128f852c6cf9190c5e8c051053d13b6a69c

See more details on using hashes here.

File details

Details for the file peoplequant-1.7.3-cp310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for peoplequant-1.7.3-cp310-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 3dd8b6660e3ed4acacc8b1e5619f88dea13300cceeda4ec44230aa41affa9083
MD5 906f874ebe1e77eb046a4388d2be66fc
BLAKE2b-256 bfb20910da201eda2867ad553b9037cb18417f046beb9a3de3bca26862895a19

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page