新浪行情

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字数统计: 4,125 | 阅读时长 ≈ 23

行情接口

http://hq.sinajs.cn/list=股票代码

以同花顺（股票代码：300033，股票市场：sz，深圳）为例，如果需要获取该股票的最新行情，只需如下调用接口： http://hq.sinajs.cn/list=sz300033

该接口会返回一串文本，比如：

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var hq_str_sz300033="同花顺,52.100,53.150,50.990,52.400,50.880,50.990,51.000,4592538,235557372.010,2284,50.990,400,50.950,300,50.940,200,50.930,3900,50.920,1200,51.000,1300,51.270,10300,51.280,400,51.290,3902,51.300,2018-04-03,13:18:54,00";

该字符串由多个数据用逗号”,”拼接，按照程序员的思路，顺序号从0开始。 0:“同花顺”，股票名称；

1:“52.100”，今日开盘价；

2:“53.150”，昨日收盘价；

3:“50.990”，当前价格；

4:“52.400”，今日最高价；

5:“50.880”，今日最低价；

6:“50.990”，竞买价，即“买一”报价；

7:“51.000”，竞卖价，即“卖一”报价；

8:“4592538”，成交的股票数，由于股票交易以一百股为基本单位，所以在使用时，通常把该值除以一百；

9:“235557372.010”，成交金额，单位为“元”；

10:“2284”，“买一”申请4695股，即47手；

11:“50.990”，“买一”报价；

12:“400”，“买二”；

13:“50.950”，“买二”；

14:“300”，“买三”；

15:“50.940”，“买三”；

16:“200”，“买四”；

17:“50.930”，“买四”；

18:“3900”，“买五”；

19:“50.920”，“买五”；

20:“1200”，“卖一”申报3100股，即31手；

21:“51.000”，“卖一”报价

(22, 23), (24, 25), (26,27), (28, 29)分别为“卖二”至“卖四的情况”

30:“2018-04-03”，日期； 31:“13:18:54”，时间；

如需查询多个股票，只需要将股票代码用逗号拼接后调用该接口。 比如查询同花顺（股票代码：300033，股票市场：sz，深圳），贵州茅台（股票代码：600252，股票市场：sh，上海），复星医药（股票代码：600196，股票市场：sh，上海） http://hq.sinajs.cn/list=sz300033,sh600252,sh600196

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var hq_str_sz300033="同花顺,52.100,53.150,51.090,52.400,50.880,51.080,51.090,4880945,250301808.510,10293,51.080,5900,51.070,1700,51.050,2300,51.040,200,51.030,49100,51.090,3047,51.100,1100,51.150,2000,51.180,300,51.250,2018-04-03,13:36:12,00";
var hq_str_sh600252="中恒集团,3.960,4.000,3.920,3.970,3.910,3.910,3.920,12745747,50199960.000,781400,3.910,789000,3.900,285600,3.890,337700,3.880,172300,3.870,297200,3.920,224400,3.930,144347,3.940,658503,3.950,390348,3.960,2018-04-03,13:36:14,00";
var hq_str_sh600196="复星医药,43.800,44.360,43.460,44.670,43.430,43.460,43.480,10789333,473126781.000,3900,43.460,9550,43.450,13400,43.440,22645,43.430,3300,43.420,12000,43.480,2500,43.490,6400,43.500,1500,43.520,600,43.530,2018-04-03,13:36:14,00";

返回的股票数据，股票与股票之间有“\n”换行符进行换行。返回股票行情数据的顺序与接口中拼接的股票代码顺序一致。而且不会去除重复股票代码。

比如： http://hq.sinajs.cn/list=sz300033,sz300033,sh600196

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var hq_str_sz300033="同花顺,52.100,53.150,51.650,52.400,50.880,51.590,51.650,5112490,262191072.590,200,51.590,800,51.580,1000,51.570,4100,51.550,1100,51.540,1500,51.650,300,51.660,1200,51.670,500,51.680,2000,51.690,2018-04-03,13:40:42,00";
var hq_str_sz300033="同花顺,52.100,53.150,51.650,52.400,50.880,51.590,51.650,5112490,262191072.590,200,51.590,800,51.580,1000,51.570,4100,51.550,1100,51.540,1500,51.650,300,51.660,1200,51.670,500,51.680,2000,51.690,2018-04-03,13:40:42,00";
var hq_str_sh600196="复星医药,43.800,44.360,43.480,44.670,43.410,43.440,43.480,10962328,480641133.000,2500,43.440,7500,43.430,7400,43.420,27400,43.410,35100,43.400,6200,43.480,1200,43.500,200,43.510,400,43.530,100,43.570,2018-04-03,13:40:41,00";

会返回两次同花顺的行情数据。

大盘指数的数据会有所差别

三大指数的代码如下：

上证指数：s_sh000001

深证成指：s_sz399001

创业板指：s_sz399006

接口与股票行情接口一致，单返回数据内容有巨大差别。 http://hq.sinajs.cn/list=s_sh000001,s_sz399001,s_sz399006

返回数据如下：

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var hq_str_s_sh000001="上证指数,3129.3559,-33.8231,-1.07,1093759,13684785";
var hq_str_s_sz399001="深证成指,10705.22,-147.728,-1.36,150649760,21374199";
var hq_str_s_sz399006="创业板指,1862.29,-37.966,-2.00,15198600,2675426";

数据含义分别为：指数名称，当前点数，当前价格，涨跌率，成交量（手），成交额（万元）；

分时图

gif形式

http://image.sinajs.cn/newchart/min/n/*.gif

其中*代表股票代码。

比如：同花顺的分时图

http://image.sinajs.cn/newchart/min/n/sz300033.gif 分时图

数据格式

http://vip.stock.finance.sina.com.cn/quotes\_service/view/CN\_TransListV2.php?symbol=股票代码&rn=时间戳

其中

symbol为股票代码，

rn为请求的时间戳。

该接口一次只能请求一个股票的分时图。

以同花顺为例： http://vip.stock.finance.sina.com.cn/quotes_service/view/CN_TransListV2.php?symbol=sz300033&rn=1522736353052

返回数据如下（由于数据过多，这里已经删除大部分数据）

1
var trade_item_list = new Array(); trade_item_list[0] = new Array('14:19:51', '100', '51.300', 'UP'); trade_item_list[1] = new Array('14:19:48', '1000', '51.300', 'UP'); trade_item_list[2] = new Array('14:19:45', '200', '51.290', 'DOWN'); trade_item_list[3] = new Array('14:19:42', '300', '51.300', 'UP'); trade_item_list[4] = new Array('14:19:39', '200', '51.300', 'UP'); trade_item_list[5] = new Array('14:19:36', '100', '51.300', 'UP'); trade_item_list[6] = new Array('14:19:30', '1000', '51.300', 'UP'); trade_item_list[7] = new Array('14:19:24', '300', '51.300', 'UP'); trade_item_list[8] = new Array('14:19:21', '300', '51.290', 'DOWN'); trade_item_list[9] = new Array('14:19:18', '100', '51.290', 'DOWN'); trade_item_list[10] = new Array('14:19:15', '400', '51.300', 'UP'); trade_item_list[11] = new Array('14:19:09', '1000', '51.300', 'UP'); trade_item_list[12] = new Array('14:19:03', '500', '51.300', 'UP'); trade_item_list[13] = new Array('14:18:57', '1400', '51.300', 'UP'); trade_item_list[14] = new Array('14:18:54', '2800', '51.300', 'UP'); trade_item_list[15] = new Array('14:18:48', '2600', '51.290', 'DOWN'); trade_item_list[16] = new Array('14:18:39', '1500', '51.290', 'UP'); trade_item_list[17] = new Array('14:18:33', '100', '51.290', 'UP'); trade_item_list[18] = new Array('14:18:30', '300', '51.290', 'UP'); trade_item_list[19] = new Array('14:18:27', '800', '51.290', 'DOWN'); trade_item_list[20] = new Array('14:18:21', '1000', '51.300', 'UP');   trade_item_list[2510] = new Array('09:38:27', '3900', '51.550', 'EQUAL'); trade_item_list[2511] = new Array('09:38:24', '11900', '51.500', 'DOWN'); trade_item_list[2512] = new Array('09:38:21', '2700', '51.600', 'UP'); trade_item_list[2513] = new Array('09:38:18', '6200', '51.500', 'DOWN'); trade_item_list[2514] = new Array('09:38:15', '6100', '51.600', 'DOWN'); trade_item_list[2515] = new Array('09:38:12', '5800', '51.600', 'DOWN'); trade_item_list[2516] = new Array('09:38:09', '1500', '51.600', 'DOWN'); trade_item_list[2517] = new Array('09:38:06', '2200', '51.700', 'UP'); trade_item_list[2518] = new Array('09:38:03', '3500', '51.600', 'DOWN'); trade_item_list[2519] = new Array('09:38:00', '1908', '51.700', 'DOWN'); trade_item_list[2520] = new Array('09:37:57', '3192', '51.700', 'DOWN'); trade_item_list[2521] = new Array('09:37:54', '3800', '51.710', 'DOWN'); trade_item_list[2522] = new Array('09:37:51', '3600', '51.750', 'EQUAL'); trade_item_list[2523] = new Array('09:37:48', '3400', '51.710', 'DOWN'); trade_item_list[2524] = new Array('09:37:45', '3400', '51.800', 'UP'); trade_item_list[2525] = new Array('09:37:42', '11800', '51.800', 'DOWN'); trade_item_list[2526] = new Array('09:37:39', '1900', '51.890', 'UP'); trade_item_list[2527] = new Array('09:37:36', '2900', '51.800', 'DOWN'); trade_item_list[2528] = new Array('09:37:33', '3700', '51.900', 'UP'); trade_item_list[2529] = new Array('09:37:30', '10000', '51.900', 'UP'); trade_item_list[2530] = new Array('09:37:27', '1300', '51.850', 'EQUAL'); trade_item_list[2531] = new Array('09:37:24', '5600', '51.810', 'DOWN'); trade_item_list[2532] = new Array('09:37:21', '4800', '51.900', 'UP'); trade_item_list[2533] = new Array('09:37:18', '12200', '51.900', 'DOWN'); trade_item_list[2534] = new Array('09:37:15', '3600', '51.930', 'UP'); trade_item_list[2535] = new Array('09:37:12', '2800', '51.900', 'DOWN'); trade_item_list[2536] = new Array('09:37:09', '2300', '51.900', 'DOWN'); trade_item_list[2537] = new Array('09:37:06', '100', '51.930', 'EQUAL'); trade_item_list[2538] = new Array('09:37:03', '67400', '51.900', 'DOWN'); trade_item_list[2539] = new Array('09:37:00', '600', '51.980', 'UP'); trade_item_list[2540] = new Array('09:36:57', '1200', '51.940', 'EQUAL'); trade_item_list[2541] = new Array('09:36:54', '5000', '51.930', 'DOWN'); trade_item_list[2542] = new Array('09:36:51', '400', '51.980', 'DOWN'); trade_item_list[2543] = new Array('09:36:48', '200', '52.000', 'UP'); trade_item_list[2544] = new Array('09:36:45', '200', '52.010', 'EQUAL'); trade_item_list[2545] = new Array('09:36:42', '12900', '52.030', 'UP'); trade_item_list[2546] = new Array('09:36:39', '300', '52.010', 'EQUAL'); trade_item_list[2547] = new Array('09:36:36', '15200', '52.040', 'EQUAL'); trade_item_list[2548] = new Array('09:36:33', '7800', '52.010', 'DOWN'); trade_item_list[2549] = new Array('09:36:30', '1100', '52.070', 'UP'); trade_item_list[2550] = new Array('09:36:27', '4300', '52.010', 'DOWN'); trade_item_list[2551] = new Array('09:36:24', '200', '52.030', 'DOWN'); trade_item_list[2552] = new Array('09:36:21', '1900', '52.030', 'DOWN'); trade_item_list[2553] = new Array('09:36:18', '1700', '52.040', 'DOWN'); trade_item_list[2554] = new Array('09:36:15', '1300', '52.080', 'EQUAL'); trade_item_list[2555] = new Array('09:36:12', '9100', '52.110', 'UP'); trade_item_list[2556] = new Array('09:36:09', '4600', '52.110', 'UP'); trade_item_list[2557] = new Array('09:36:06', '1100', '52.110', 'UP'); trade_item_list[2558] = new Array('09:36:03', '1200', '52.110', 'DOWN'); trade_item_list[2559] = new Array('09:36:00', '1700', '52.120', 'DOWN'); trade_item_list[2560] = new Array('09:35:57', '800', '52.130', 'DOWN'); trade_item_list[2561] = new Array('09:35:54', '2000', '52.100', 'DOWN'); trade_item_list[2562] = new Array('09:35:51', '1000', '52.110', 'DOWN'); trade_item_list[2563] = new Array('09:35:48', '900', '52.110', 'DOWN'); trade_item_list[2564] = new Array('09:35:45', '1800', '52.100', 'DOWN'); trade_item_list[2565] = new Array('09:35:39', '2300', '52.110', 'DOWN'); trade_item_list[2566] = new Array('09:35:36', '500', '52.170', 'UP'); trade_item_list[2567] = new Array('09:35:33', '6900', '52.110', 'DOWN'); trade_item_list[2568] = new Array('09:35:30', '200', '52.170', 'DOWN'); trade_item_list[2569] = new Array('09:35:27', '2000', '52.170', 'DOWN'); trade_item_list[2570] = new Array('09:35:24', '3100', '52.170', 'UP'); trade_item_list[2571] = new Array('09:35:21', '6000', '52.100', 'UP'); trade_item_list[2572] = new Array('09:35:18', '1200', '52.100', 'UP'); trade_item_list[2573] = new Array('09:35:15', '1300', '52.070', 'DOWN'); trade_item_list[2574] = new Array('09:35:12', '2600', '52.070', 'DOWN'); trade_item_list[2575] = new Array('09:35:09', '3000', '52.110', 'UP'); trade_item_list[2576] = new Array('09:35:06', '100', '52.100', 'UP'); trade_item_list[2577] = new Array('09:35:03', '900', '52.100', 'EQUAL'); trade_item_list[2578] = new Array('09:35:00', '2600', '52.070', 'DOWN'); trade_item_list[2579] = new Array('09:34:57', '600', '52.110', 'UP'); trade_item_list[2580] = new Array('09:34:54', '600', '52.100', 'DOWN'); trade_item_list[2581] = new Array('09:34:51', '7500', '52.110', 'DOWN'); trade_item_list[2582] = new Array('09:34:48', '6800', '52.210', 'EQUAL'); trade_item_list[2583] = new Array('09:34:45', '2800', '52.200', 'DOWN'); trade_item_list[2584] = new Array('09:34:42', '3800', '52.200', 'DOWN'); trade_item_list[2585] = new Array('09:34:36', '5800', '52.200', 'DOWN'); trade_item_list[2586] = new Array('09:34:33', '200', '52.230', 'DOWN'); trade_item_list[2587] = new Array('09:34:27', '1500', '52.230', 'UP'); trade_item_list[2588] = new Array('09:34:24', '3400', '52.190', 'DOWN'); trade_item_list[2589] = new Array('09:34:21', '1100', '52.200', 'UP'); trade_item_list[2590] = new Array('09:34:18', '9600', '52.200', 'DOWN'); trade_item_list[2591] = new Array('09:34:15', '1100', '52.230', 'UP'); trade_item_list[2592] = new Array('09:34:12', '1000', '52.230', 'EQUAL'); trade_item_list[2593] = new Array('09:34:09', '3400', '52.250', 'EQUAL'); trade_item_list[2594] = new Array('09:34:06', '1600', '52.300', 'UP'); trade_item_list[2595] = new Array('09:34:03', '1100', '52.300', 'UP'); trade_item_list[2596] = new Array('09:34:00', '1300', '52.300', 'UP'); trade_item_list[2597] = new Array('09:33:57', '7900', '52.300', 'DOWN'); trade_item_list[2598] = new Array('09:33:54', '4500', '52.320', 'DOWN'); trade_item_list[2599] = new Array('09:33:51', '5500', '52.400', 'UP'); trade_item_list[2600] = new Array('09:33:48', '2100', '52.380', 'UP'); trade_item_list[2601] = new Array('09:33:45', '500', '52.380', 'EQUAL'); trade_item_list[2602] = new Array('09:33:42', '1700', '52.400', 'UP'); trade_item_list[2603] = new Array('09:33:39', '1300', '52.400', 'UP'); trade_item_list[2604] = new Array('09:33:33', '400', '52.400', 'EQUAL'); trade_item_list[2605] = new Array('09:33:27', '100', '52.300', 'UP'); trade_item_list[2606] = new Array('09:33:24', '300', '52.230', 'DOWN'); trade_item_list[2607] = new Array('09:33:21', '4800', '52.210', 'EQUAL'); trade_item_list[2608] = new Array('09:33:18', '1300', '52.200', 'DOWN'); trade_item_list[2609] = new Array('09:33:12', '3500', '52.200', 'DOWN'); trade_item_list[2610] = new Array('09:33:09', '16000', '52.200', 'UP'); trade_item_list[2611] = new Array('09:33:06', '1500', '52.200', 'UP'); trade_item_list[2612] = new Array('09:33:03', '4100', '52.180', 'DOWN'); trade_item_list[2613] = new Array('09:33:00', '4900', '52.200', 'UP'); trade_item_list[2614] = new Array('09:32:57', '10500', '52.180', 'DOWN'); trade_item_list[2615] = new Array('09:32:54', '600', '52.190', 'UP'); trade_item_list[2616] = new Array('09:32:51', '6300', '52.180', 'DOWN'); trade_item_list[2617] = new Array('09:32:48', '11000', '52.180', 'DOWN'); trade_item_list[2618] = new Array('09:32:45', '1300', '52.180', 'UP'); trade_item_list[2619] = new Array('09:32:42', '7700', '52.170', 'DOWN'); trade_item_list[2620] = new Array('09:32:39', '300', '52.180', 'UP'); trade_item_list[2621] = new Array('09:32:36', '2400', '52.170', 'DOWN'); trade_item_list[2622] = new Array('09:32:33', '100', '52.180', 'UP'); trade_item_list[2623] = new Array('09:32:27', '1500', '52.180', 'UP'); trade_item_list[2624] = new Array('09:32:24', '10500', '52.070', 'DOWN'); trade_item_list[2625] = new Array('09:32:21', '800', '52.110', 'EQUAL'); trade_item_list[2626] = new Array('09:32:18', '2800', '52.100', 'DOWN'); trade_item_list[2627] = new Array('09:32:15', '1700', '52.110', 'UP'); trade_item_list[2628] = new Array('09:32:12', '300', '52.100', 'DOWN'); trade_item_list[2629] = new Array('09:32:09', '4300', '52.100', 'DOWN'); trade_item_list[2630] = new Array('09:32:06', '3000', '52.100', 'UP'); trade_item_list[2631] = new Array('09:32:00', '108', '52.080', 'DOWN'); trade_item_list[2632] = new Array('09:31:57', '7800', '52.080', 'UP'); trade_item_list[2633] = new Array('09:31:54', '1700', '52.000', 'DOWN'); trade_item_list[2634] = new Array('09:31:51', '500', '52.030', 'DOWN'); trade_item_list[2635] = new Array('09:31:48', '8700', '52.080', 'UP'); trade_item_list[2636] = new Array('09:31:45', '500', '52.030', 'UP'); trade_item_list[2637] = new Array('09:31:42', '600', '52.030', 'UP'); trade_item_list[2638] = new Array('09:31:39', '2000', '51.930', 'DOWN'); trade_item_list[2639] = new Array('09:31:36', '5700', '52.000', 'EQUAL'); trade_item_list[2640] = new Array('09:31:33', '3600', '52.030', 'UP'); trade_item_list[2641] = new Array('09:31:30', '2800', '52.030', 'EQUAL'); trade_item_list[2642] = new Array('09:31:27', '8200', '51.930', 'DOWN'); trade_item_list[2643] = new Array('09:31:24', '2500', '52.050', 'DOWN'); trade_item_list[2644] = new Array('09:31:21', '1100', '52.050', 'UP'); trade_item_list[2645] = new Array('09:31:18', '900', '52.030', 'DOWN'); trade_item_list[2646] = new Array('09:31:15', '1500', '52.030', 'DOWN'); trade_item_list[2647] = new Array('09:31:12', '1100', '52.030', 'DOWN'); trade_item_list[2648] = new Array('09:31:09', '11500', '52.030', 'UP'); trade_item_list[2649] = new Array('09:31:06', '600', '51.930', 'UP'); trade_item_list[2650] = new Array('09:31:03', '500', '51.920', 'DOWN'); trade_item_list[2651] = new Array('09:31:00', '5900', '51.920', 'DOWN'); trade_item_list[2652] = new Array('09:30:57', '7700', '51.920', 'UP'); trade_item_list[2653] = new Array('09:30:54', '7000', '51.920', 'UP'); trade_item_list[2654] = new Array('09:30:51', '2200', '51.920', 'UP'); trade_item_list[2655] = new Array('09:30:48', '6400', '51.920', 'DOWN'); trade_item_list[2656] = new Array('09:30:45', '9900', '51.900', 'DOWN'); trade_item_list[2657] = new Array('09:30:42', '3600', '52.010', 'EQUAL'); trade_item_list[2658] = new Array('09:30:39', '9300', '52.080', 'UP'); trade_item_list[2659] = new Array('09:30:36', '7900', '52.060', 'UP'); trade_item_list[2660] = new Array('09:30:33', '7200', '51.920', 'DOWN'); trade_item_list[2661] = new Array('09:30:30', '7800', '52.060', 'UP'); trade_item_list[2662] = new Array('09:30:27', '4300', '52.060', 'UP'); trade_item_list[2663] = new Array('09:30:24', '7400', '51.920', 'DOWN'); trade_item_list[2664] = new Array('09:30:21', '3800', '52.000', 'DOWN'); trade_item_list[2665] = new Array('09:30:18', '7400', '52.050', 'UP'); trade_item_list[2666] = new Array('09:30:15', '8500', '52.000', 'UP'); trade_item_list[2667] = new Array('09:30:12', '2300', '52.000', 'UP'); trade_item_list[2668] = new Array('09:30:09', '2700', '52.000', 'UP'); trade_item_list[2669] = new Array('09:30:06', '44100', '51.990', 'DOWN'); trade_item_list[2670] = new Array('09:30:03', '9000', '52.100', 'UP'); trade_item_list[2671] = new Array('09:25:03', '21100', '52.100', 'EQUAL'); var trade_INVOL_OUTVOL=[2615432.5,3118257.5];

数据含义分别为：时间，当前成交量，当前价格，涨跌符号。

某分钟的价格取该分钟内的最后一个价格。

比如：09:30分的价格有从09:30:03到09:30:57共19个价格，则09:30的价格取09:30:57的价格51.920。

某分钟的成交量为该分钟内所有成交量的和。比如09:30分的成交量为从09:30:03到09:30:57共19个成交量之和。

某分钟的持有量为该分钟内所有持有量的和。当前持有量=当前成交量*涨跌符号；（UP为1，DOWN为-1，EQUAL为0）。

某分钟的持有量为正，则柱状图为红色；为负，则柱状图为绿色；为0，则柱状图为灰色。

以下为小编使用正则处理该数据的代码：

由于该接口返回的数据是从现在往前排列，所以最后的ArrayList需要调用Collections.reverse(list)方法反转一下。

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    public ArrayList<NewMinutesBean> parseSinaMinutes(String str) {
        ArrayList<NewMinutesBean> list = new ArrayList<>();
        if (TextUtils.isEmpty(str)) {
            return list;
        }

        String time, preTime = null, upDownFlag;
        float priceCur;
        long numCur;
        long holdingVol, holdingVolFlag;

        NewMinutesBean minutesBean = null;

        String sinaRegex = "(\\('(.*?')\\, '(\\d*?)'\\, '(.*?)'\\, '(\\w*?)'\\));";
        Pattern pattern = Pattern.compile(sinaRegex, Pattern.CASE_INSENSITIVE);
        Matcher matcher = pattern.matcher(str);
        int index = 0;
        String startTime = "09:30";
        String endTime = "15:00";
        long millisStart = hourToMillis(startTime);
        long millisEnd = hourToMillis(endTime);
        while (matcher.find()) {
            time = matcher.group(2).substring(0, 5);
            if (index == 240 && !time.equalsIgnoreCase(preTime)) {
                break;
            }
            long millisNow = hourToMillis(time);
            if (millisNow > millisEnd) {
                break;
            }

            upDownFlag = matcher.group(5);
            switch (upDownFlag) {
                case "UP":
                    holdingVolFlag = 1;
                    break;
                case "DOWN":
                    holdingVolFlag = -1;
                    break;
                case "EQUAL":
                    holdingVolFlag = 0;
                    break;
                default:
                    holdingVolFlag = 0;
            }
            priceCur = NumberUtils.parseFloat(matcher.group(4));
            numCur = NumberUtils.parseLong(matcher.group(3));
            holdingVol = numCur * holdingVolFlag;

            if (!time.equalsIgnoreCase(preTime) && millisNow >= millisStart) {
                minutesBean = new NewMinutesBean(time, priceCur, numCur, holdingVol);
                list.add(minutesBean);
                if (index == 0) {
                    lowestPrice = hightestPrice = priceCur;
                }
                if (priceCur > hightestPrice) {
                    hightestPrice = priceCur;
                }

                if (priceCur < lowestPrice) {
                    lowestPrice = priceCur;
                }

                index++;
            } else {
                if (minutesBean != null) {
                    minutesBean.setTradingVol(minutesBean.getTradingVol() + numCur);
                    if (millisNow >= millisStart)
                        minutesBean.setHoldingVol(minutesBean.getHoldingVol() + holdingVol);
                }
            }
            preTime = time;
        }
//反转数据
        Collections.reverse(list);

        return list;
    }

   
    SimpleDateFormat dataFormat;

    private long hourToMillis(String startTime) {
        if(dataFormat==null){
            dataFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm", Locale.getDefault());
        }
        return  dataFormat.parse("2018-04-02 "+startTime).getTime();
    }

NewMinutesBean.java

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public class NewMinutesBean {

    private String time;
    private float price;
    private long tradingVol;
    private long holdingVol;

    public NewMinutesBean(String time) {
        this.time = time;
    }

    public NewMinutesBean() {
    }

    public NewMinutesBean(String time, float price, long tradingVol, long holdingVol) {
        this.time = time;
        this.price = price;
        this.tradingVol = tradingVol;
        this.holdingVol = holdingVol;
    }

    public String getTime() {
        return time;
    }

    public void setTime(String time) {
        this.time = time;
    }

    public float getPrice() {
        return price;
    }

    public void setPrice(float price) {
        this.price = price;
    }

    public long getTradingVol() {
        return tradingVol;
    }

    public void setTradingVol(long tradingVol) {
        this.tradingVol = tradingVol;
    }

    public long getHoldingVol() {
        return holdingVol;
    }

    public void setHoldingVol(long holdingVol) {
        this.holdingVol = holdingVol;
    }

    @Override
    public String toString() {
        return "NewMinutesBean{" +
                "time='" + time + '\'' +
                ", price=" + price +
                ", tradingVol=" + tradingVol +
                ", holdingVol=" + holdingVol +
                '}';
    }
}

K线图

对于股票的K线图的获取可以通过请求http://image.sinajs.cn/newchart/…/n/_.gif此URL获取. _

_其中_代表股票代码， …代表K线图类型。

详见如下：

日K：daily

周K：weekly

月K：monthly

查看日K线图：

http://image.sinajs.cn/newchart/daily/n/sz300033.gif 日K

查看周K线图：

http://image.sinajs.cn/newchart/weekly/n/sz300033.gif

查看月K线图： http://image.sinajs.cn/newchart/monthly/n/sz300033.gif 月K

最近二十天左右的每5分钟数据

http://money.finance.sina.com.cn/quotes_service/api/json_v2.php/CN_MarketData.getKLineData?symbol=sz300033&scale=5&ma=5&datalen=1023 （参数：股票编号、分钟间隔（5、15、30、60）、均值（5、10、15、20、25）、查询个数点（最大值242））

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