Parallel Get
Parallel Get 是一个基于MATLAB 平台，用于获取股票历史/即时行情数据的工具。
最低版本支持:2014b
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 volume 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,ktype) 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。 ktype 可以是 ‘d’,’w’,’m’,’15’,’30’,’60’
示例1：
>>get_hist_data(000002,’d’)
date open high close low volume 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'
示例2：
>> get_hist_data(300191,’15’)
timestamp open high close low volume 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_today_ticks(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_ticks(000002)
timestamp price ________ _____ '14:02:54' '22.92' '14:02:51' '22.91' '14:02:48' '22.92' '14:02:45' '22.91'
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 volume 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 volume 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'
get_today_all 获取当前时间全市场行情数据（不包括st）
示例1：
>>get_today_all
code name price price_change p_change buy1 sell1 settlement open high low volume amount ________ ______ _________ ___________ ________ _________ _________ __________ _________ _________ _________ ___________ ____________ '600370' '三房巷' '6.890' '0.630' '10.064' '6.890' '0.000' '6.260' '6.260' '6.890' '6.210' '65041187' '434417192' '300163' '先锋新材' '13.150' '1.200' '10.042' '13.150' '0.000' '11.950' '13.150' '13.150' '13.150' '651783' '8570946' '600159' '大龙地产' '5.810' '0.530' '10.038' '5.810' '0.000' '5.280' '5.250' '5.810' '5.230' '75321625' '431408473' '600634' '中技控股' '15.790' '1.440' '10.035' '15.790' '0.000' '14.350' '15.790' '15.790' '15.790' '852202' '13456270' '600908' '无锡银行' '7.790' '0.710' '10.028' '7.790' '0.000' '7.080' '7.790' '7.790' '7.790' '50025' '389695' '600228' '昌九生化' '14.270' '1.300' '10.023' '14.270' '0.000' '12.970' '12.800' '14.270' '12.800' '18945134' '260854202' '600743' '华远地产' '5.160' '0.470' '10.021' '5.160' '0.000' '4.690' '4.670' '5.160' '4.660' '47495982' '241370696' '002614' '蒙发利' '16.800' '1.530' '10.020' '16.800' '0.000' '15.270' '15.480' '16.800' '14.900' '66443794' '1044344625'
Parallel Get
Parallel Get is a open source MATLAB toolbox that can be used to obtain stock information about Chinese stock matket.
Support version :MATLAB 2014b or above
Installation ========= Download and add to path. Then your are free to use.
Quick Start
get_tick_data（code，date） get tick level data of one stock
Expamle 1：
>>get_tick_data(‘000002’,’2016-08-26’)
timestamp price change volume 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,ktype) get Historical Prices of one stock ktype can be ‘d’,’w’,’m’,’15’,’30’,’60’
Example1：
>>get_hist_data(000002,’d’)
date open high close low volume price_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'
Example2：
>> get_hist_data(300191,’15’)
timestamp open high close low volume 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_today_ticks(code) Get today’s tick level data of one stock
Example1:
>>get_today_ticks(000002)
timestamp price ________ _____ '14:02:54' '22.92' '14:02:51' '22.91' '14:02:48' '22.92' '14:02:45' '22.91'
get_realtime_quotes(code) Get current price of multiple stocks
Example1：
>>get_realtime_quotes({‘000002’,’000025’})
code name open pre_close price high low volume 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 Get current information of index
Example1:
>> get_index
code name open pre_close price high low volume 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'
get_today_all get current price of all stocks（excluding st）
Example1：
>>get_today_all
code name price pricechange p_change buy1 sell1 settlement open high low volume amount ________ ______ _________ ___________ ________ _________ _________ __________ _________ _________ _________ ___________ ____________ '600370' '三房巷' '6.890' '0.630' '10.064' '6.890' '0.000' '6.260' '6.260' '6.890' '6.210' '65041187' '434417192' '300163' '先锋新材' '13.150' '1.200' '10.042' '13.150' '0.000' '11.950' '13.150' '13.150' '13.150' '651783' '8570946' '600159' '大龙地产' '5.810' '0.530' '10.038' '5.810' '0.000' '5.280' '5.250' '5.810' '5.230' '75321625' '431408473' '600634' '中技控股' '15.790' '1.440' '10.035' '15.790' '0.000' '14.350' '15.790' '15.790' '15.790' '852202' '13456270' '600908' '无锡银行' '7.790' '0.710' '10.028' '7.790' '0.000' '7.080' '7.790' '7.790' '7.790' '50025' '389695' '600228' '昌九生化' '14.270' '1.300' '10.023' '14.270' '0.000' '12.970' '12.800' '14.270' '12.800' '18945134' '260854202' '600743' '华远地产' '5.160' '0.470' '10.021' '5.160' '0.000' '4.690' '4.670' '5.160' '4.660' '47495982' '241370696' '002614' '蒙发利' '16.800' '1.530' '10.020' '16.800' '0.000' '15.270' '15.480' '16.800' '14.900' '66443794' '1044344625'