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Parallel Get

Parallel Get 是一个用于MATLAB 平台,获取股票历史/即时行情数据的工具。


使用方法

下载并添加至Path 即可直接调用函数。


API 详解

get_tick_data(code,date) 获取个股以往某日历史的分笔数据明细。

示例1:

>>get_tick_data('000002','2016-08-26')

timestamp      price     change     volumns    amount  
_________     ______     _______    _______    _______  
'15:00:03'    '23.54'    '-0.03'    '19353'    '45557432'
'14:57:00'    '23.57'    '--'       '1392'     '3280944'
'14:56:57'    '23.57'    '--'       '263'      '619891'  
'14:56:54'    '23.57'    '--'       '283'      '667031'  
'14:56:51'    '23.57'    '--'       '218'      '513826'  
'14:56:48'    '23.57'    '--'       '1428'     '3367681'
'14:56:45'    '23.57'    '0.02'     '350'      '824950'

get_hist_data(code) 获取某只股票的日k线、周k线、月k线,或5分钟、15分钟、30分钟和60分钟k线数据。

示例1:

>>get_hist_data(000002,'d')

  date           open         high        close        low         volumne         p_change
  ________      ________    _______      ____       _______      _______        _________  
'2016-08-23'    '24.390'    '25.280'    '24.700'    '23.830'    '1694763.25'     '0.000'
'2016-08-24'    '24.400'    '24.840'    '23.990'    '23.750'    '1470675.62'     '-0.710'
'2016-08-25'    '23.500'    '23.940'    '23.540'    '22.710'    '1821374.88'     '-0.450'
'2016-08-26'    '23.590'    '23.590'    '22.890'    '22.880'    '1200024.12'     '-0.650'

get_today_tick(code) 获取单只股票今日分笔数据明细(大约3s 更新一次)

示例1:

>>get_today_tick(000002)

timestamp      price
 ________       _____
'14:02:54'    '22.92'
'14:02:51'    '22.91'
'14:02:48'    '22.92'
'14:02:45'    '22.91'

示例2:

>> get_hist_data(300191,'15')

            timestamp          open       high       close       low       volumn      p_change
    _____________________    _______    _______    _______    _______    _________    ________
    '2016-09-26 15:00:00'    '37.5'     '37.53'    '37.28'    '37.15'    '6608.53'    '-0.22'
    '2016-09-26 14:45:00'    '37.5'     '37.63'    '37.5'     '37.28'    '6242.99'    '0",0,'
    '2016-09-26 14:30:00'    '37.8'     '37.9'     '37.61'    '37.61'    '2161'       '-0.19'
    '2016-09-26 14:15:00'    '37.8'     '37.89'    '37.83'    '37.73'    '1573.01'    '0.03'  
    '2016-09-26 14:00:00'    '37.78'    '37.9'     '37.8'     '37.74'    '1728.17'    '0.02'  
    '2016-09-26 13:45:00'    '37.76'    '37.8'     '37.78'    '37.52'    '3223.01'    '0.02'  
    '2016-09-26 13:30:00'    '37.95'    '37.97'    '37.77'    '37.75'    '1571'       '-0.18'
    '2016-09-26 13:15:00'    '37.88'    '37.95'    '37.95'    '37.68'    '1447'       '0.07'  

get_realtime_quotes(code) 获取多只股票最近时间的成交情况

示例1:

>>get_realtime_quotes({'000002','000025'})

code       name          open      pre_close     price        high        low         volumn          amount   
______      _______     _______     _______      _______      _______     _________    ________      ________
'000002'    '万 科A'    '25.190'    '25.480'     '24.680'    '25.350'    '24.400'    '132417339'    '3272364942'
'000025'    '特 力A'    '68.360'    '68.060'     '64.800'    '68.390'    '64.000'    '7135515'      '472024111'

get_index 获取指数的实时行情

示例1:

>> get_index

   code        name         open         pre_close        price          high            low           volumn            amount    
 ________    ________    ___________    ___________    ___________    ___________    ___________    _____________    __________
 '000001'    '上证指数'      '3028.2428'    '3033.8956'    '2980.4295'    '3028.2428'    '2980.1169'    '144330286'      '162257246419'
 '000002'    'A股指数'      '3169.9480'    '3175.8765'    '3119.8737'    '3169.9480'    '3119.5429'    '143852012'      '161933662807'
 '000003'    'B股指数'      '353.0047'     '353.3536'     '348.0875'     '353.3246'     '347.8740'     '478275'         '323583612'   
 '000008'    '综合指数'      '2674.7152'    '2680.0651'    '2643.7808'    '2674.7152'    '2643.3551'    '32095410'       '33830427621'
 '000009'    '上证380'     '5553.9553'    '5561.8088'    '5445.9972'    '5554.6702'    '5441.8891'    '42880656'       '48138671063'
 '000010'    '上证180'     '7010.0702'    '7025.2953'    '6915.9930'    '7010.0702'    '6915.9133'    '46628253'       '45307561410'
 '000011'    '基金指数'      '5702.3802'    '5706.5903'    '5657.5139'    '5702.4024'    '5656.3607'    '14313413'       '34222047051'
 '000012'    '国债指数'      '159.6086'     '159.5646'     '159.6141'     '159.6185'     '159.5666'     '229703'         '243046703'   
 '000016'    '上证50'      '2190.3899'    '2196.2903'    '2167.2640'    '2190.3899'    '2166.8248'    '16948209'       '16306550462'
 '000017'    '新综指'       '2555.9284'    '2560.7325'    '2515.5150'    '2555.9284'    '2515.2482'    '143236322'      '159421304866'
 '000300'    '沪深300'     '3267.6905'    '3275.6665'    '3220.2838'    '3267.6905'    '3220.2838'    '70452186'       '78700835132'
 '399001'    '深证成指'      '10588.354'    '10609.695'    '10392.695'    '10588.510'    '10392.695'    '17991773412'    '262945278836'
 '399002'    '深成指R'      '12506.839'    '12530.149'    '12275.729'    '12507.023'    '12275.729'    '7900427053'     '108309087042'
 '399003'    '成份B指'      '6425.106'     '6440.190'     '6365.087'     '6434.232'     '6360.422'     '13867140'       '95261075'    
 '399004'    '深证100R'    '4589.451'     '4599.742'     '4505.893'     '4589.832'     '4505.786'     '2499887991'     '37125326089'
 '399005'    '中小板指'      '6809.622'     '6822.026'     '6667.080'     '6809.636'     '6667.080'     '1485150473'     '24683372972'
 '399006'    '创业板指'      '2154.399'     '2156.510'     '2122.900'     '2161.764'     '2122.900'     '867056848'      '18788827737'
 '399101'    '中小板综'      '11653.298'    '11677.238'    '11432.207'    '11653.298'    '11432.207'    '7404608266'     '115953976575'
 '399106'    '深证综指'      '2004.155'     '2008.121'     '1966.604'     '2004.160'     '1966.604'     '17991773412'    '262945278836'
 '399107'    '深证A指'      '2096.283'     '2100.437'     '2056.919'     '2096.288'     '2056.919'     '17959684421'    '262755809256'
 '399108'    '深证B指'      '1188.299'     '1189.904'     '1178.405'     '1188.648'     '1177.034'     '32088991'       '189469579'   
 '399333'    '中小板R'      '7437.371'     '7450.918'     '7281.688'     '7437.386'     '7281.688'     '1485150473'     '24683372972'
 '399606'    '创业板R'      '2228.524'     '2230.708'     '2195.942'     '2236.143'     '2195.942'     '867056848'      '18788827737'
 '399100'    '新 指 数'     '8721.404'     '8739.147'     '8560.899'     '8721.485'     '8560.899'     '17659822775'    '260606794092'

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