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长江证券 ptrade 免五开通门槛

Ptrade • 李魔佛发表了文章 • 0 个评论 • 176 次浏览 • 2025-07-22 16:57 • 来自相关话题

长江证券支持ptrade量化交易，同时也可以免5, 股票0.1元起收。

软件描述：长江证券PTrade交易终端是由恒生电子股份有限公司开发，为服务投资者专业化个性化交易需求而打造的交易终端
功能介绍：
1. 操作便捷：支持闪电下单、一键撤补、一键清仓、批量撤单、全键盘交易等功能
2. 功能丰富：提供策略交易、拐点交易、网格交易、抢单交易、追涨停、盘口扫单、可转债套利、ETF套利、篮子交易等交易工具
3. 量化交易：支持策略单交易，提供完整的策略平台，支持客户做策略研究、策略编写、策略回测和实盘交易
4. 极速交易：支持通过华锐ATP极速柜台、快速交易通道交易
MD5码：16ab7feba617b254c1607320ce69a780

版本：PTrade1.0-Client-V202308-15-000

文件大小：215.2M

文件名：PTrade1.0-Client-V202308-15-000_CY.zip

有2个版本，一个是长江证券ptrade交易终端（极速版），这个可以在上面编写python策略；

一个是Ptrade交易终端（简版），这个只提供了基础的量化工具，比如套利，网格，日内回转交易。不支持python编程功能。所以注意不要开错了哦。

下载链接：
https://downcq.95579.com/jcj/zg/PTrade1.0-Client-V202308-15-000_CY.zip

长期更新站点：
https://ptradeapi.com/

需要开通的朋友可以关注公众号联系：查看全部

长江证券支持ptrade量化交易，同时也可以免5, 股票0.1元起收。

软件描述：长江证券PTrade交易终端是由恒生电子股份有限公司开发，为服务投资者专业化个性化交易需求而打造的交易终端
功能介绍：
1. 操作便捷：支持闪电下单、一键撤补、一键清仓、批量撤单、全键盘交易等功能
2. 功能丰富：提供策略交易、拐点交易、网格交易、抢单交易、追涨停、盘口扫单、可转债套利、ETF套利、篮子交易等交易工具
3. 量化交易：支持策略单交易，提供完整的策略平台，支持客户做策略研究、策略编写、策略回测和实盘交易
4. 极速交易：支持通过华锐ATP极速柜台、快速交易通道交易
MD5码：16ab7feba617b254c1607320ce69a780

版本：PTrade1.0-Client-V202308-15-000

文件大小：215.2M

文件名：PTrade1.0-Client-V202308-15-000_CY.zip

有2个版本，一个是长江证券ptrade交易终端（极速版），这个可以在上面编写python策略；

一个是Ptrade交易终端（简版），这个只提供了基础的量化工具，比如套利，网格，日内回转交易。不支持python编程功能。所以注意不要开错了哦。

下载链接：
https://downcq.95579.com/jcj/zg/PTrade1.0-Client-V202308-15-000_CY.zip

长期更新站点：
https://ptradeapi.com/

需要开通的朋友可以关注公众号联系：

ptrade不同券商数据质量之 ETF数据质量残次不齐

Ptrade • 李魔佛发表了文章 • 0 个评论 • 149 次浏览 • 2025-07-23 18:28 • 来自相关话题

其实用的函数是

etf_list = get_etf_list()

然后在不同的券商上运行。

国盛得到的数据：2025-07-23 16:07:15 - INFO - 公众号：可转债量化分析 ---- start ----
2025-07-23 16:08:00 - INFO - start func
2025-07-23 16:08:00 - INFO - 公众号：可转债量化分析
2025-07-23 16:08:00 - INFO - 660
得到的ETF数据有660只。

同样的代码，放到国金的ptrade上运行，得到 2025-07-23 15:45:10 - INFO - 当前服务器配置为：交易时间段服务器重启后，执行拉起本交易操作
2025-07-23 15:45:12 - INFO - 公众号：可转债量化分析 ---- start ----
2025-07-23 15:46:00 - INFO - start func
2025-07-23 15:46:00 - INFO - 公众号：可转债量化分析
2025-07-23 15:46:00 - INFO - 1043有1000只的ETF。

然后把日志导出到本地，用python求解一下不同的数据

(py11) D:\github\stock_strategy\api_validation>python etf-compare.py
516330.SS
561320.SS
159265.SZ
560980.SS
159813.SZ
159859.SZ
561700.SS
511620.SS
159898.SZ
159969.SZ
512380.SS
159972.SZ
159857.SZ
516300.SS
588200.SS
510180.SS
517520.SS
515680.SS
159618.SZ
159827.SZ
561980.SS
511820.SS
515150.SS
159701.SZ
159743.SZ
159623.SZ
159991.SZ
510660.SS
159681.SZ
159845.SZ
515890.SS
515850.SS
515300.SS
159510.SZ
511920.SS
159805.SZ
159610.SZ
159929.SZ
517170.SS
530800.SS
510630.SS
159535.SZ
561790.SS
159842.SZ
510150.SS
560580.SS
517800.SS
515790.SS
159806.SZ
516530.SS
159873.SZ
159207.SZ
515320.SS
516750.SS
159635.SZ
515290.SS
515030.SS
561130.SS
588150.SS
560680.SS
560280.SS
561570.SS
515760.SS
515900.SS
511090.SS
159643.SZ
588040.SS
159968.SZ
512520.SS
159322.SZ
516520.SS
159841.SZ
159359.SZ
515160.SS
511260.SS
516710.SS
159698.SZ
588230.SS
159786.SZ
562900.SS
159309.SZ
159358.SZ
563800.SS
159677.SZ
159551.SZ
517850.SS
159899.SZ
159862.SZ
159961.SZ
159779.SZ
515580.SS
159836.SZ
510060.SS
515010.SS
159355.SZ
560700.SS
159885.SZ
517880.SS
159864.SZ
159640.SZ
510270.SS
560150.SS
515750.SS
159003.SZ
159748.SZ
515330.SS
159730.SZ
159994.SZ
516290.SS
516080.SS
560510.SS
159005.SZ
159306.SZ
159378.SZ
512960.SS
159680.SZ
159847.SZ
159310.SZ
159587.SZ
588400.SS
515770.SS
159393.SZ
159657.SZ
516220.SS
159575.SZ
560350.SS
159997.SZ
515110.SS
159713.SZ
159880.SZ
159576.SZ
159520.SZ
562360.SS
588930.SS
518660.SS
159669.SZ
159206.SZ
159621.SZ
159928.SZ
159731.SZ
516050.SS
562390.SS
159831.SZ
516510.SS
159913.SZ
159633.SZ
511190.SS
512670.SS
516780.SS
517110.SS
159820.SZ
159690.SZ
159881.SZ
561230.SS
510010.SS
159992.SZ
159666.SZ
159725.SZ
159870.SZ
511010.SS
515060.SS
560860.SS
515100.SS
159993.SZ
512820.SS
159825.SZ
511900.SS
515990.SS
159849.SZ
563330.SS
512240.SS
159974.SZ
159910.SZ
159638.SZ
512890.SS
159641.SZ
159875.SZ
159682.SZ
159796.SZ
159887.SZ
159620.SZ
510880.SS
159225.SZ
159720.SZ
510410.SS
159883.SZ
159931.SZ
159363.SZ
588100.SS
561200.SS
560550.SS
159791.SZ
159229.SZ
159982.SZ
159647.SZ
560610.SS
159386.SZ
159559.SZ
159630.SZ
159795.SZ
511200.SS
512510.SS
561260.SS
159589.SZ
562860.SS
560090.SS
159889.SZ
159707.SZ
588320.SS
159678.SZ
510680.SS
159863.SZ
515980.SS
159543.SZ
510100.SS
159679.SZ
512040.SS
530000.SS
511770.SS
159838.SZ
159553.SZ
159998.SZ
515080.SS
588110.SS
561990.SS
159729.SZ
515120.SS
159739.SZ
159856.SZ
159800.SZ
510020.SS
510650.SS
159909.SZ
517550.SS
515630.SS
159685.SZ
515960.SS
515380.SS
561910.SS
515860.SS
518680.SS
588250.SS
159603.SZ
159339.SZ
159778.SZ
159958.SZ
516120.SS
588090.SS
159781.SZ
562300.SS
159761.SZ
517080.SS
159617.SZ
516060.SS
588680.SS
511580.SS
159521.SZ
159770.SZ
159397.SZ
159888.SZ
159816.SZ
516880.SS
159716.SZ
516910.SS
159209.SZ
588880.SS
562800.SS
515650.SS
561590.SS
159715.SZ
159552.SZ
512280.SS
588830.SS
516790.SS
159656.SZ
588460.SS
561350.SS
511850.SS
516830.SS
515530.SS
517120.SS
159658.SZ
563360.SS
517010.SS
516630.SS
159608.SZ
159959.SZ
563300.SS
563350.SS
516650.SS
561920.SS
561310.SS
516460.SS
512680.SS
159782.SZ
515360.SS
159628.SZ
159629.SZ
560260.SS
512730.SS
588010.SS
159697.SZ
588760.SS
513890.SS
159977.SZ
516500.SS
561500.SS
512220.SS
510550.SS
159555.SZ
588300.SS
530300.SS
159649.SZ
159395.SZ
560560.SS
516950.SS
511810.SS
561330.SS
159732.SZ
511600.SS
562890.SS
516550.SS
159717.SZ
159797.SZ
159970.SZ
561900.SS
561560.SS
159890.SZ
159721.SZ
560190.SS
159366.SZ
515950.SS
511950.SS
159908.SZ
159861.SZ
159517.SZ
159975.SZ
159625.SZ
159830.SZ
510050.SS
159895.SZ
517900.SS
159652.SZ
510990.SS
159811.SZ
159852.SZ
517000.SS
159930.SZ
159840.SZ
515070.SS
511670.SS
159807.SZ
561550.SS
511980.SS
159675.SZ
159611.SZ
560880.SS
515660.SS
560530.SS
511830.SS
159766.SZ
159631.SZ
561190.SS
512150.SS
561950.SS
517360.SS
518880.SS
510850.SS
159768.SZ
159876.SZ
159398.SZ
159865.SZ
515600.SS
159360.SZ
159305.SZ
511970.SS
159671.SZ
588310.SS
516770.SS
159320.SZ
516670.SS
517100.SS
159572.SZ
159839.SZ
159627.SZ
159665.SZ
159790.SZ
563520.SS
511520.SS
511690.SS
561160.SS
159723.SZ
159216.SZ
159886.SZ
510190.SS
159798.SZ
562590.SS
159843.SZ
159867.SZ
159663.SZ
159619.SZ
516090.SS
515090.SS
560080.SS
159869.SZ
159872.SZ
159736.SZ
560900.SS
588950.SS
159855.SZ
516150.SS
516960.SS
159828.SZ
517050.SS
159851.SZ
159645.SZ
511930.SS
159935.SZ
159703.SZ
517200.SS
512020.SS
159787.SZ
588240.SS
159362.SZ
517990.SS
561960.SS
562880.SS
159971.SZ
159760.SZ
159871.SZ
513630.SS
561380.SS
不同的ETF数量: 432这400多只的ETF是在国盛上缺失的。
这数据有点惊人.....

如果要用国盛，可以用国金的把ETF列表导出到txt，然后上传到国盛，然后在程序中读取这个etf列表。
查看全部

其实用的函数是

etf_list = get_etf_list()

然后在不同的券商上运行。

国盛得到的数据：

2025-07-23 16:07:15 - INFO - 公众号：可转债量化分析 ---- start ---- 

2025-07-23 16:08:00 - INFO - start func 

2025-07-23 16:08:00 - INFO - 公众号：可转债量化分析 

2025-07-23 16:08:00 - INFO - 660

得到的ETF数据有660只。

同样的代码，放到国金的ptrade上运行，得到

2025-07-23 15:45:10 - INFO - 当前服务器配置为：交易时间段服务器重启后，执行拉起本交易操作 

2025-07-23 15:45:12 - INFO - 公众号：可转债量化分析 ---- start ---- 

2025-07-23 15:46:00 - INFO - start func 

2025-07-23 15:46:00 - INFO - 公众号：可转债量化分析 

2025-07-23 15:46:00 - INFO - 1043

有1000只的ETF。

然后把日志导出到本地，用python求解一下不同的数据





(py11) D:\github\stock_strategy\api_validation>python etf-compare.py

516330.SS

561320.SS

159265.SZ

560980.SS

159813.SZ

159859.SZ

561700.SS

511620.SS

159898.SZ

159969.SZ

512380.SS

159972.SZ

159857.SZ

516300.SS

588200.SS

510180.SS

517520.SS

515680.SS

159618.SZ

159827.SZ

561980.SS

511820.SS

515150.SS

159701.SZ

159743.SZ

159623.SZ

159991.SZ

510660.SS

159681.SZ

159845.SZ

515890.SS

515850.SS

515300.SS

159510.SZ

511920.SS

159805.SZ

159610.SZ

159929.SZ

517170.SS

530800.SS

510630.SS

159535.SZ

561790.SS

159842.SZ

510150.SS

560580.SS

517800.SS

515790.SS

159806.SZ

516530.SS

159873.SZ

159207.SZ

515320.SS

516750.SS

159635.SZ

515290.SS

515030.SS

561130.SS

588150.SS

560680.SS

560280.SS

561570.SS

515760.SS

515900.SS

511090.SS

159643.SZ

588040.SS

159968.SZ

512520.SS

159322.SZ

516520.SS

159841.SZ

159359.SZ

515160.SS

511260.SS

516710.SS

159698.SZ

588230.SS

159786.SZ

562900.SS

159309.SZ

159358.SZ

563800.SS

159677.SZ

159551.SZ

517850.SS

159899.SZ

159862.SZ

159961.SZ

159779.SZ

515580.SS

159836.SZ

510060.SS

515010.SS

159355.SZ

560700.SS

159885.SZ

517880.SS

159864.SZ

159640.SZ

510270.SS

560150.SS

515750.SS

159003.SZ

159748.SZ

515330.SS

159730.SZ

159994.SZ

516290.SS

516080.SS

560510.SS

159005.SZ

159306.SZ

159378.SZ

512960.SS

159680.SZ

159847.SZ

159310.SZ

159587.SZ

588400.SS

515770.SS

159393.SZ

159657.SZ

516220.SS

159575.SZ

560350.SS

159997.SZ

515110.SS

159713.SZ

159880.SZ

159576.SZ

159520.SZ

562360.SS

588930.SS

518660.SS

159669.SZ

159206.SZ

159621.SZ

159928.SZ

159731.SZ

516050.SS

562390.SS

159831.SZ

516510.SS

159913.SZ

159633.SZ

511190.SS

512670.SS

516780.SS

517110.SS

159820.SZ

159690.SZ

159881.SZ

561230.SS

510010.SS

159992.SZ

159666.SZ

159725.SZ

159870.SZ

511010.SS

515060.SS

560860.SS

515100.SS

159993.SZ

512820.SS

159825.SZ

511900.SS

515990.SS

159849.SZ

563330.SS

512240.SS

159974.SZ

159910.SZ

159638.SZ

512890.SS

159641.SZ

159875.SZ

159682.SZ

159796.SZ

159887.SZ

159620.SZ

510880.SS

159225.SZ

159720.SZ

510410.SS

159883.SZ

159931.SZ

159363.SZ

588100.SS

561200.SS

560550.SS

159791.SZ

159229.SZ

159982.SZ

159647.SZ

560610.SS

159386.SZ

159559.SZ

159630.SZ

159795.SZ

511200.SS

512510.SS

561260.SS

159589.SZ

562860.SS

560090.SS

159889.SZ

159707.SZ

588320.SS

159678.SZ

510680.SS

159863.SZ

515980.SS

159543.SZ

510100.SS

159679.SZ

512040.SS

530000.SS

511770.SS

159838.SZ

159553.SZ

159998.SZ

515080.SS

588110.SS

561990.SS

159729.SZ

515120.SS

159739.SZ

159856.SZ

159800.SZ

510020.SS

510650.SS

159909.SZ

517550.SS

515630.SS

159685.SZ

515960.SS

515380.SS

561910.SS

515860.SS

518680.SS

588250.SS

159603.SZ

159339.SZ

159778.SZ

159958.SZ

516120.SS

588090.SS

159781.SZ

562300.SS

159761.SZ

517080.SS

159617.SZ

516060.SS

588680.SS

511580.SS

159521.SZ

159770.SZ

159397.SZ

159888.SZ

159816.SZ

516880.SS

159716.SZ

516910.SS

159209.SZ

588880.SS

562800.SS

515650.SS

561590.SS

159715.SZ

159552.SZ

512280.SS

588830.SS

516790.SS

159656.SZ

588460.SS

561350.SS

511850.SS

516830.SS

515530.SS

517120.SS

159658.SZ

563360.SS

517010.SS

516630.SS

159608.SZ

159959.SZ

563300.SS

563350.SS

516650.SS

561920.SS

561310.SS

516460.SS

512680.SS

159782.SZ

515360.SS

159628.SZ

159629.SZ

560260.SS

512730.SS

588010.SS

159697.SZ

588760.SS

513890.SS

159977.SZ

516500.SS

561500.SS

512220.SS

510550.SS

159555.SZ

588300.SS

530300.SS

159649.SZ

159395.SZ

560560.SS

516950.SS

511810.SS

561330.SS

159732.SZ

511600.SS

562890.SS

516550.SS

159717.SZ

159797.SZ

159970.SZ

561900.SS

561560.SS

159890.SZ

159721.SZ

560190.SS

159366.SZ

515950.SS

511950.SS

159908.SZ

159861.SZ

159517.SZ

159975.SZ

159625.SZ

159830.SZ

510050.SS

159895.SZ

517900.SS

159652.SZ

510990.SS

159811.SZ

159852.SZ

517000.SS

159930.SZ

159840.SZ

515070.SS

511670.SS

159807.SZ

561550.SS

511980.SS

159675.SZ

159611.SZ

560880.SS

515660.SS

560530.SS

511830.SS

159766.SZ

159631.SZ

561190.SS

512150.SS

561950.SS

517360.SS

518880.SS

510850.SS

159768.SZ

159876.SZ

159398.SZ

159865.SZ

515600.SS

159360.SZ

159305.SZ

511970.SS

159671.SZ

588310.SS

516770.SS

159320.SZ

516670.SS

517100.SS

159572.SZ

159839.SZ

159627.SZ

159665.SZ

159790.SZ

563520.SS

511520.SS

511690.SS

561160.SS

159723.SZ

159216.SZ

159886.SZ

510190.SS

159798.SZ

562590.SS

159843.SZ

159867.SZ

159663.SZ

159619.SZ

516090.SS

515090.SS

560080.SS

159869.SZ

159872.SZ

159736.SZ

560900.SS

588950.SS

159855.SZ

516150.SS

516960.SS

159828.SZ

517050.SS

159851.SZ

159645.SZ

511930.SS

159935.SZ

159703.SZ

517200.SS

512020.SS

159787.SZ

588240.SS

159362.SZ

517990.SS

561960.SS

562880.SS

159971.SZ

159760.SZ

159871.SZ

513630.SS

561380.SS

不同的ETF数量: 432

这400多只的ETF是在国盛上缺失的。
这数据有点惊人.....

如果要用国盛，可以用国金的把ETF列表导出到txt，然后上传到国盛，然后在程序中读取这个etf列表。

ptrade获取集合竞价数据

Ptrade • 李魔佛发表了文章 • 0 个评论 • 42 次浏览 • 2025-08-07 18:48 • 来自相关话题

新版的ptrade已经可以获取集合竞价的数据：
date = '20250806'
stocks = ['300333.SZ']
data = get_trend_data(date=date, stocks=stocks)

# 返回数据
{'300333.SZ': {'time_stamp': 202508060930,
'hq_px': 14.1,
'wavg_px': 14.1,
'business_amount': 40300,
'business_balance': 568230,
'amount': 0}}
在实盘，回测，研究里面就能够使用

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新版的ptrade已经可以获取集合竞价的数据：

date = '20250806'

stocks = ['300333.SZ']

data = get_trend_data(date=date, stocks=stocks)



# 返回数据

{'300333.SZ': {'time_stamp': 202508060930,

  'hq_px': 14.1,

  'wavg_px': 14.1,

  'business_amount': 40300,

  'business_balance': 568230,

  'amount': 0}}

在实盘，回测，研究里面就能够使用