ptrade不同券商 数据质量 之 ETF数据质量残次不齐
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：
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
然后把日志导出到本地，用python求解一下不同的数据
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。
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有1000只的ETF。
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
然后把日志导出到本地，用python求解一下不同的数据
这400多只的ETF是在国盛上缺失的。
(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。
