qqfinanceAPI
us stock codes
About Universal Monitoring, Detection and Actions
To detect any special changes in the universe, in the society or in the market,
the following processs or procedures should be established:
1 establish the database to store the historical data
2 establish moving dynamic models to describe the long term and short term trends
3 collect current data
4 compare with trend data
5 determine the conclusion and report or alarm
6 Take actions !
!! if taken the day klines, calculate the trend, calculate the turnover trend, and set the monitoring mark, and then use the minute monitoring to check level
use http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=hk00060,day,,,160,qfq
==========================
This is the best minute data!!!
use this for the short term sudden change trend detect!!!
http://data.gtimg.cn/flashdata/hk/minute/hk01072.js
some upgrade ideas
detect daily chart tp
add a switch to toggle popup
initHtmlHeader <- readLines("initHtml.html")
write(initHtmlHeader, specialCond, append=TRUE)
aim to flash out the high vol rise at early stage
stat on chart
弱勢股 也是落後股 可以是報複性反彈 在後期 跌得狠 反彈百分比也高
強勢股 是是先行部隊 maxdrop較少 反彈前期先行
配合成交額
計算短期強弱股列表
during monitoring
remember the today big amount alert list
remove the duplicate items
at end of loop write to file to show the charts
sort the list into big vol and small vol list
fund chart imporvement: show stats
add 601766 to mon list
need a measure to identify the recent long drop after a big rise
special condition change color of dropping stks
monitoring dorp > 80%
add alert action to stk monitor active codes and store the list both ups and downs
and also make a script to convert the active list to a daily chart file
modify the highlightlist to read from local folder
var str = 'FLSZ 1070560 - 00700腾讯控股';
var regex = /.* - /;
str = str.replace(regex, " ");
console.log(str.slice(0, 4));
7 items, all numeric
FreshTable[QueueNo,]<<-c(UD, price, Diff, H, L, round(Vol,digits=0), round(Amt,digits=0))
UD=as.numeric(Info[33])
price=as.numeric(Info[4])
Diff=as.numeric(Info[32])
H=as.numeric(Info[34])
L=as.numeric(Info[35])
Vol=as.numeric(Info[7])/10000
Amt=as.numeric(Info[38])/10000
TDX 通达信快捷键
通达信快捷键一览
按[Backspace]可向前回溯曾经看过的股票，
按[Shift+Backspace]则向后
通达信集成版 快捷键
通达信快捷键分为四种
数字键:比如1,61,81,10,91等
点系列键:比如.101,.201,.301.... .909等
功能键:比如F1,F2... 空格键,减号键,TAB等
组合键:比如Ctrl+V,Alt+1,Ctrl+Z等
1. Ctrl+V 切换前复权与还原 Ctrl+B切换后复权与还原
3. Ctrl+M 按当前的股票集合进入多股界面
4. Ctrl+R 所属析块
5. Ctrl+D 系统设置
6. Ctrl+Z 加入到板块 Shift+Ctrl+Z 从板块中删除
7. 在分时图或分析图界面下,Ctrl+O 叠加股票,Ctrl+G 删除叠加
8. Ctrl+J 进入主力大单,再按Ctrl+J 退回
9. Ctr+F进入公式编辑器
10. Shift+F10 进入基本权息资料界面
11. 在有信息地雷的画面,按Shift+回车键进入信息地雷
12. Ctrl+1,Ctrl+2显隐功能树和辅助区 Ctrl+3,Ctrl+4显隐工具栏和状态栏
13. Ctrl+L显隐右边信息区(也可以敲 .6)
14. 快速排名 点系列键 .202至.226
15. 热门板块分析 点系列键 .400
15. 如果有自定义的版面,使用点系列键 .001至.099
16. 使用减号键"-"来启动或停止"自动换页"
17. 在走势图或分析图画面,使用加号键"+"来切换右下角的内容,Shift+加号键反向切换
18. 在报价界面和报表界面,使用空格键打开股票集合的菜单等,使用]或[键切换各分类
19. 深证100 快捷键:100 上证180 快捷键:180 沪深300 快捷键:300
20. 在财经资讯和信息地雷浏览过程中,可以连续按回车键或连续双击鼠标来快速切换标题区和内容区
21. 新版本支持16(信息地雷),18(股改信息),19(投资日记)
22. 画线工具:Alt+F12
23. 条件选股 .905或按Ctrl+T 定制选股 .906 智能选股 .907 综合选股 .909
24. Ctrl+P 全屏和非全屏的切换 全屏显示 画面更清爽干净
25. 快捷键 67,87 全市场的涨幅排名和综合排名
26. Atl+数字键的用途: 在走势图画面,切换多日分时图;在分析图画面,切换子窗口个数
27. TAB的用途:在行情报价画面,切换行情信息和财务信息,在分时图画面,切换上下午半场,在分析图画面,叠加或删除叠加均线
28. 中括号键"[ ""]"的用途:在行情报价画面,分类股票切换；在分析图用于轮换周期。
29. 5.51版本以上支持的快捷键:30:切换关联股票 31:理财金算盘 32:个人理财
30. Ctrl+Q(新版本)支持对某只股票标记文本信息
31. Ctrl+Tab切换打开的几个窗口
通过菜单项后面的提示,键盘精灵的提示和帮助文件等,大家可以知道更多的快捷键.
市场雷达设置：·910
条件预警设置：·918
详细买卖盘快捷键：M
或点击K线右下方：盘
K线快捷键：
年K线：Y
季K线：S
月K线：MO
周K线：W
日K线：D
60分钟：M6
30分钟：M3
15分钟：M15
5分钟：M5
1分钟：M1
用键盘精灵输入91,92,...912 也可一步进入各种周期Ｋ线
新增在F10切换至下一分类:空格键 切换至上一分类:退格键
还有一个快捷键Ctrl+Tab(其实是Windows多文档的快捷键),用于切换打开的几个窗口.
权证快捷键：11,611,811等
G股板块快捷键：GGBK
ST板块快捷键：STBK
上交所基金通:JJT
快捷键F7->财经资讯
4. 在"查看"->"系统设置"->"系统参数1"->将"纵坐标线"打勾
这样的话,在看各种周期K线时,会画出一些分隔的纵坐标线,用来将一月,一季,或1天等分隔开来
1. 在分时图或分析图界面下,使用Ctrl+W进行本屏的区间统计
2. Ctrl+M 按当前的股票集合进入多股界面
3. Ctrl+R 所属析块
4. Ctrl+Z 加入到板块 Shift+Ctrl+Z 从板块中删除
5. 在分时图或分析图界面下,Ctrl+O 叠加股票,Ctrl+G 删除叠加
6. Ctrl+J 进入主力大单,再按Ctrl+J 退回
7. Ctr+F进入公式编辑器
8. Shift+F10 进入基本权息资料界面
9. 在有信息地雷的画面,按Shift+回车键进入信息地雷
10. Ctrl+1,Ctrl+2显隐功能树和辅助区
11. Ctrl+L显隐右边信息区
12. Ctrl+V 切换前复权与还原
13. 快速排名 点系列键 .202至.224
14. 热门板块分析 点系列键 .400
15. 如果有自定义的版面,使用点系列键 .001至.099
16. 在报价界面和报表界面,使用空格键打开股票集合的菜单等
通过菜单项后面的提示,键盘精灵的提示和帮助文件等,大家可以知道更多的快捷键.
F10分类切换
新增在F10切换至下一分类:空格键 切换至上一分类:退格键
还有一个快捷键Ctrl+Tab(其实是Windows多文档的快捷键),用于切换打开的几个窗口.
监控剪贴板功能
如果打开了'查看'菜单的监控剪贴板功能
则在看一篇网页或文章时,如果将内容剪贴到了剪贴板上,并且内容中含有股票名称或代码的话,系统就会弹出一对话框,搜索出所有的合法股票,你可以选择加入到自选股或自定义的板块中
监控剪贴板功能可能会影响正常的剪贴操作,建议用完后,关闭'查看'菜单的监控剪贴板功能.
通达信板块操作方法汇总：
1).在任一个股界面，使用Ctrl+Z或Alt+Z将当前股票加入到某个板块，使用Alt+D或Shift+Ctrl+Z将当前股票从某个板块中删除，也可以使用右键菜单中的'加入到板块','从板块中删除'等菜单项。
在自定义板块的行情报价中，直接使用Del键可从当前板块中删除当前股票。
2).在行情报价中，使用右键菜单中的"批量操作",可以将一屏股票加入到某板块或从当前板块中删除。
3).在自定义板块的行情报价中，使用鼠标上下拖动，即可移动板块内股票的前后顺序。
4).进入"系统设置"的"板块"设置页中，可以新建或删除板块,修改板块名称,修改板块的键盘精灵简称,加入板块,上移下移板块内股票的顺序,将板块导入导出等更全面的板块操作。
5).使用"监控剪贴板功能"功能,可以从文章或网页中批量将股票加入到某板块中
屏幕右侧的AH,NH,CDP,NL,AL的意思
CDP/逆势操作系统：以前一天的行情波动来求出五个数值将当天及未来行情做一个划分。
再以当日的开盘价决定如何操作。
CDP：(最高价 + 最低价 + 收盘价)/3。
AH： (最高价 + 最低价 + 收盘价)/3 +（昨日最高价-昨日最低价）。
NH ：(最高价 + 最低价 + 收盘价)/3 -（昨日最高价-昨日最低价）。
NL ：2 * (最高价 + 最低价 + 收盘价)/3 - 最低价。
AL ：2 * (最高价 + 最低价 + 收盘价)/3 - 最高价。
股票代码的快速输入：
三位优先按上海代码，四位优先按深圳代码
比如敲001进入600001,0001进入000001
我要找到中国石化:只需输入028
我要找到苏宁电器:只需输入2024
键盘精灵中支持?键
比如我输入H?GS 就可列出 海南高速,华北高速,湖南高速(旧名也可以列出来)
一次性读取更多K线数据
如果你进行技术分析时，需要使用更多的数据，又不想使用下箭头来不断增量请求，可以在系统设置中将上网环境设为"较快环境"或"快速环境"，但前提是你的网速比较快,否则等待时间可能较长。
将自己特别关注的个股行情信息放在状态栏上
新的5.49以上版本，在系统设置的状态栏行情设置中，可以设置最多4个指数或个股到状态栏上
分时走势图使用粗线
新的5.49以上版本，在系统设置中，可以打开"分时走势图使用粗线"选项 这样在显示走势图的价线时看起来"更有穿透力"
分时图操作方法:
1).在分时图画面,在右键菜单中使用"切换走势模式",或者使用*和/键,可以查看"量比"和"买卖力道"。
2).在右键菜单中使用"多日分时图",或使用Alt+数字键来切换,可以同时查看此股最近10天的分时图。
此状态一直有效，除非你解除此状态或退出系统
3).使用叠加股票功能，或使用Ctrl+O键，将其它股票加入到这只股票的分时图上来,一起对比查看。
此状态一直有效，除非你解除此状态或退出系统
4).用右键在分时图拖拽一个区间，松开，选中右键菜单“区间统计”，会弹出这个区间的分时统计情况。
如果想对整个交易日进行统计，直接使用Ctrl+W。
区间统计同样适合于多日分时图。
5). 进入分时图，双击鼠标，出现光标竖线，把竖线定位到某个时刻，按回车键，这时右下角的每笔分笔成交会跳转到这个时刻，显示这个时刻附近的成交明细。
如果右下角是“详细买卖盘”，也是同样的跳转，显示这个时刻附近的详细买卖盘。
另附:
1).双击右下角的"每笔成交明细","分价表","每分钟成交","详细买卖盘",可以将这些功能界面放大到全屏,放大后,可以用鼠标滚轮进行上下翻页，再次双击，恢复到原来的状态。
2).点击右边行情信息区的"市盈","股本","净资","收益"等地方,可以直接调出"权息资料"信息。
按Ctrl+I或用键盘精灵设置的指标，在当前副图中生效
怎样选择一个副图: 点击副图最右边的方框处,使之边框变粗
1. 如果基本资料和权息数据紊乱可以使用数据处理工具进行清除.
2. 数据处理工具支持"恢复到系统刚安装状态",但会保留自选股等重要信息.
3. 如果自定义公式太多太杂,导致程序经常出错,可以使用"清除自定义公式".
4. 如果数据下载的盘后数据有错,可以在"数据维护"中清除这一天的数据,再重新用盘后数据下载补充这一天的数据.
MA2均线指标:
通达信缺省的均线为MA指标,只有4条均线,如果需要很多的均线,可以使用MA2指标 (在主图中点右键,选择主图指标菜单项,在对话框中选择MA2,或者直接用键盘精灵敲MA2)
智能选股
进入方法: 选股器->智能选股 或用键盘精灵输入.907
1.在分析图或分时图中,双击中间的轴(右轴)可以相互切换
2. 分析图中可以用Shift+左右箭头平移K线
标记证券
右键->标记当前证券->标记文字 (或直接按Ctrl+Q),在弹出的对话框中填入文字
在股票名的后面会出现一个"T"字标记,鼠标移上去,可以提示出你的文字内容,按Ctrl+Q可以修改或删除标记
This is Five day minute data!!
use this for the short term sudden change trend detect!!!
both work and 99.9 identical:
5 day minute data
http://web.ifzq.gtimg.cn/appstock/app/day/query?code=hk00981
http://web.ifzq.gtimg.cn/appstock/app/day/query?code=sh600030
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdminData&code=hk00981
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_hk00981&code=hk00981
this is correct format!!!
dont use usfqkline which is for us stock!!
use this to detect the up or down going trends Stk lists!!!
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=hk01072,day,,,320,qfq
This is Week Data!!
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_weekqfq¶m=hk00060,week,,,320,qfq
This is monthly data!!
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_monthqfq¶m=hk00060,month,,,320,qfq
data structure
const fdminData = {
"code": 0,
"msg": "",
"data": {
"hk00751": {
"data": [
{
"date": "20250225",
"data": [
"0930 2.680 24000 64320.000",
"0931 2.650 178752 475750.240",
//... all the data rows for 20250225
],
"prec": "2.690"
},
]
}
}
};
extract 5 day data
const jsonString = '{"code":0,"msg":"","data":{"hk00388":{"data":[{"date":"20250425","data":["0930 339.800 53100 18043380.000", ... ]},{"date":"20250424","data":[...]}]}}}';
// Step 1: Parse the JSON string
const jsonData = JSON.parse(jsonString);
// Step 2: Navigate to the required data
const stockData = jsonData.data.hk00388.data;
// Step 3: Extract data in sequence
stockData.forEach(entry => {
const date = entry.date;
const dataPoints = entry.data;
console.log(`Date: ${date}`);
dataPoints.forEach(point => {
const [time, price, volume, amount] = point.split(' ');
console.log(`Time: ${time}, Price: ${price}, Volume: ${volume}, Amount: ${amount}`);
});
});
// Assuming the JSON string is stored in a variable called jsonString
const data = JSON.parse(jsonString);
// Access the data array for the stock hk00388
const stockData = data.data.hk00388.data;
// Extract the data points in sequence
const extractedData = stockData.map(item => {
// Split the data string into components
const [time, price, volume, turnover] = item.data[0].split(' ');
return {
date: item.date,
time: time,
price: parseFloat(price),
volume: parseInt(volume),
turnover: parseFloat(turnover)
};
});
// Now extractedData contains all the data points in sequence
console.log(extractedData);
daily data
This ask for kline, 320 is the number of days
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=hk00060,day,,,320,qfq
"2020-08-26","553.500","550.500","555.000","546.000","5887629.00",{},"0","324247.44"
amount is already in 10000 HKD unit
Raw Data
=============================
不知道什麽東西 日期過期
http://stockhtm.finance.qq.com/hk/quotpage/inc_cjefb/cjefb.js
10 days
var v_wrnt_fb=[["20160603","601","76.0","93.24","15.5","50.81","8.5"],["20160602","579","71.8","111.90","19.3","51.38","8.9"],["20160601","650","71.6","128.72","19.8","55.82","8.6"],["20160531","1031","84.1","109.67","10.6","54.17","5.3"],["20160530","585","72.2","115.64","19.8","47.19","8.1"],["20160527","555","81.2","83.38","15.0","21.04","3.8"],["20160526","464","76.5","87.17","18.8","22.05","4.7"],["20160525","620","81.7","94.39","15.2","19.27","3.1"],["20160524","447","73.6","95.59","21.4","22.48","5.0"],["20160523","438","71.7","104.55","23.9","19.29","4.4"]];
HSI 恒生指数 HSCCI 红筹指数 HSCEI 国企指数 GEM 创业板
http://stockjs.finance.qq.com/hk/fltj/fltj.js
var FLTJ={"HSI":["41","4","5"],"HSCCI":["15","2","3"],"HSCEI":["30","4","6"],"GEM":["75","78","85"]};/* |xGv00|665a71868c9c4174776f8433e099b78b */
today 0930-1600 minute data
http://data.gtimg.cn/flashdata/hk/minute/hkHSI.js?maxage=10
http://data.gtimg.cn/flashdata/hk/minute/hkHSI.js
http://data.gtimg.cn/flashdata/hk/minute/hk01072.js
current price
http://sqt.gtimg.cn/utf8/q=r_hkHSI
Quoted 30 Stocks
can be wrong
http://qt.gtimg.cn/?q=s_hkHSI,s_hk00700,s_hk02588,s_hk01980,s_hk08187,s_hk01071,s_hk00575,s_hk02628,s_hk00939,s_hk00992,s_hk00555,s_hk00708,s_hk03888,s_hk00861,s_hk03993,s_hk01415,s_hk00656,s_hk00009,s_hk02211,s_hk02333,s_hk08369,s_hk00460,s_hk00186,s_hk00362,s_hk08161,s_hk02012,s_hk01585,s_hk00911,s_hk01194,s_hk00493
http://data.gtimg.cn/flashdata/hk/minute/hk01072.js
can be wrong
http://qt.gtimg.cn/?q=s_hk00659
16.780 price
0.260 diff
1.57 pct
572012.0 vol
9571468.240 amt in rmb, * 1.18
655.329 港股市值
some comparisons:
can be wrong
http://qt.gtimg.cn/q=s_sz000001
v_s_sz000001="51~平安银行~000001~12.74~-0.01~-0.08~518286~65814~~2187.51";
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700
v_s_r_hk00700="100~腾讯控股~00700~369.200~-0.800~-0.22~8882645.0~3279189996.680~~35149.236~";
can be wrong
http://qt.gtimg.cn/q=s_hk00700
v_s_hk00700="100~腾讯控股~00700~369.200~-0.800~-0.22~8271103.0~3053514358.880~~35149.236~";
can be wrong
http://qt.gtimg.cn/q=hk00700
v_hk00700="100~腾讯控股~00700~369.200~370.000~368.000~8278817.0~0~0~369.200~0~0~0~0~0~0~0~0~0~369.200~0~0~0~0~0~0~0~0~0~8278817.0~2019/03/21 13:11:03~-0.800~-0.22~370.600~367.600~369.200~8278817.0~3056362087.680~0~41.49~~0~0~0.81~35149.236~35149.236~TENCENT~0.24~474.720~251.400~1.07~-48.75~0~0~0~0~0~35.76~9.84~0.09~100~";
can be wrong
http://qt.gtimg.cn/q=s_sz000001
v_s_sz000001="51~平安银行~000001~12.74~-0.01~-0.08~518286~65814~~2187.51";
can be wrong
http://qt.gtimg.cn/q=s_sz000001,sh600030
v_s_sz000001="51~平安银行~000001~12.71~-0.04~-0.31~537440~68249~~2182.36";
v_sh600030="1~中信证券~600030~25.21~24.56~24.65~2336250~1226743~1109446~25.19~980~25.18~823~25.17~203~25.16~410~25.15~239~25.22~249~25.23~707~25.24~1711~25.25~2166~25.26~2853~13:32:32/25.21/758/B/1910432/45243|13:32:29/25.20/1096/S/2762666/45227|13:32:26/25.20/206/S/519299/45214|13:32:23/25.20/70/S/176448/45200|13:32:20/25.22/695/B/1753155/45186|13:32:17/25.20/307/S/774039/45174~20190321133233~0.65~2.65~25.28~24.42~25.23/2332024/5811890418~2336250~582255~2.38~28.23~~25.28~24.42~3.50~2474.28~3054.67~2.00~27.02~22.10~1.41~-5031~24.92~31.32~26.72";
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700
v_s_r_hk00700="100~腾讯控股~00700~369.200~-0.800~-0.22~8882645.0~3279189996.680~~35149.236~";
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700,hk00981
v_s_r_hk00700="100~腾讯控股~00700~369.000~-1.000~-0.27~9036746.0~3336054544.680~~35130.194~";
v_hk00981="100~中芯国际~00981~7.860~7.840~7.840~8751217.0~0~0~7.860~0~0~0~0~0~0~0~0~0~7.860~0~0~0~0~0~0~0~0~0~8751217.0~2019/03/21 13:14:22~0.020~0.26~7.940~7.780~7.860~8751217.0~68653579.430~0~28.23~~0~0~2.04~396.230~396.230~SMIC~0.00~11.860~5.880~0.61~-7.50~0~0~0~0~0~32.00~0.93~0.17~500~";
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700,s_r_hk00981
v_s_r_hk00700="100~腾讯控股~00700~369.000~-1.000~-0.27~9041746.0~3337899854.680~~35130.194~";
v_s_r_hk00981="100~中芯国际~00981~7.810~-0.030~-0.38~9672217.0~75858069.430~~393.710~";
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700
v_s_r_hk00700="100~腾讯控股~00700~369.200~-0.800~-0.22~8882645.0~3279189996.680~~35149.236~";
can be wrong
http://qt.gtimg.cn/q=s_hk00700
v_s_hk00700="100~腾讯控股~00700~369.000~-1.000~-0.27~8670996.0~3201088705.880~~35130.194~";
Show 25 hot numbers
http://stockhtm.finance.qq.com/hk/quotpage/inc_hot/hot_all.js?0.8322501690186619
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hk01072&code=hk01072
this is correct format!!!
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hk01072&code=hk01072
http://web.ifzq.finance.qq.com/other/tips/hastips/query?_callback=NEWSTOCKPROXY14650546294601&uin=0.39962269680919293
this gives 18days daily data compare for both code and hsi!!
http://stock.gtimg.cn/data/hk_trend_cmp.php?time=1m&code1=hk01072&code2=hkHSI&var=hk_trend_cmp
This is the best minute data!!!
http://data.gtimg.cn/flashdata/hk/minute/hk01072.js
Hot stocks
http://stockhtm.finance.qq.com/hk/quotpage/inc_hot/hot_all.js
This ask for multiple data!!
can be wrong
http://qt.gtimg.cn/q=s_r_hk00700,s_r_hk01211,s_r_hk08369,s_r_hk02333,s_r_hk00493,s_r_hk00805,s_r_hk00388,s_r_hk03333,s_r_hk00005,s_r_hk01386,s_r_hk01246,s_r_hk00232,s_r_hk02318
It seems the data is delayed
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hk00700
this is out dated
http://sqt.gtimg.cn/q=r_hk00700,r_hk00981
this is good!!
This is Week Data!!
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_weekqfq¶m=hk00060,week,,,320,qfq
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_weekqfq¶m=hk00060,week,,,320,qfq
This is monthly data!!
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_monthqfq¶m=hk00060,month,,,320,qfq
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=hk00060,day,,,320,qfq
http://sqt.gtimg.cn/utf8/q=r_hkHSI
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_hk02976&code=hk02976
This is Five day data!!
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_hk02976&code=hk02976
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hk02976&code=hk02976
http://web.ifzq.finance.qq.com/other/tips/hastips/query?_callback=NEWSTOCKPROXY14650556631721&uin=0.22492931619208179
http://sqt.gtimg.cn/utf8/q=r_hkHSI
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hkHSI&code=hkHSI
Command Lines Grouping
================================
http://data.gtimg.cn/flashdata/hk/minute/hk01072.js
http://data.gtimg.cn/flashdata/hk/minute/hkHSI.js
http://stock.gtimg.cn/data/hk_trend_cmp.php?time=1m&code1=hk01072&code2=hkHSI&var=hk_trend_cmp
http://stockhtm.finance.qq.com/hk/quotpage/inc_cjefb/cjefb.js
different APIs
hot stocks
http://stockhtm.finance.qq.com/hk/quotpage/inc_hot/hot_all.js
five day minute data
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_hk02976&code=hk02976
day lines
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=hk01072,day,,,320,qfq
month lines
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_monthqfq¶m=hk00060,month,,,320,qfq
week lines
http://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_weekqfq¶m=hk00060,week,,,320,qfq
failed links
http://web.ifzq.finance.qq.com/other/tips/hastips/query?_callback=NEWSTOCKPROXY14650546294601&uin=0.39962269680919293
http://web.ifzq.finance.qq.com/other/tips/hastips/query?_callback=NEWSTOCKPROXY14650556631721&uin=0.22492931619208179
Today's minute data
http://web.ifzq.gtimg.cn/appstock/app/hkMinute/query?_var=min_data_hk00060&code=hk00060
current price of 2 codes
http://sqt.gtimg.cn/utf8/q=r_00388,r_hkHSI
current price
http://web.sqt.gtimg.cn/q=r_hkHSI
Shanghai STK Data A股数据
基金同样格式 不过要分sh sz
quote price:
can be wrong
http://qt.gtimg.cn/q=sh000001
only today, minute data:
http://web.ifzq.gtimg.cn/appstock/app/minute/query?_var=min_data_sh000001&code=sh000001
five day data:
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_sh000001&code=sh000001
daily kline:
http://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq¶m=sh000001,day,,,320,qfq
日线周线月线更新时间未定 所以日线要在收市后
kline_dayqfq={"code":0,"msg":"","data":{"sh000001":{"day":
[
["2020-07-29","3221.990","3294.550","3294.550","3209.990","324924062.000"],
date open close high low qty
only six columns, diff from hkstks
=================
http://web.ifzq.gtimg.cn/appstock/app/minute/query?_var=min_data_sh000001&code=sh000001
=================
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_sh000001&code=sh000001
=================
索取昨日收市价
http://sqt.gtimg.cn/utf8/q=r_hkHSI
v_r_hk03680=
"100~索信达控股~03680~3.430~3.290~3.250~2091700.0~0~0~3.430~0~0~0~0~0~0~0~0~0~3.430~0~0~0~0~0~0~0~0~0~2091700.0~2020/09/22 13:35:45~0.140~4.26~3.440~3.230~3.430~2091700.0~7034618.000~0~303.49~~0~0~6.38~13.720~13.720~SUOXINDA~0.00~3.440~1.000~0.62~35.14~0~0~0~0~0~-236.42~5.95~0.52~2000~101.76~~GP~2.24~1.38";
最高价:3.440
最低价:3.230
开盘价:3.250
昨收价:3.290
成交额:703.5万
振幅:6.38%52周
最高:3.44052周
最低:1.000
成交价:3.430
成交量:209万股
市盈率:303.5
港股市值:13.7亿
牛熊证
http://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar#mod=list&id=hk_cbbc&module=HK&type=CBBC
page 2:
http://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar#mod=list&id=hk_cbbc&module=HK&type=CBBC&sort=3&page=2&max=20
腾讯法巴八甲熊Q
http://gu.qq.com/hk69633
http://sqt.gtimg.cn/utf8/q=r_hk69633
http://web.ifzq.gtimg.cn/hk/warrant/iv/hkIV?code=69633 # not yet clarified
http://sqt.gtimg.cn/utf8/q=r_hkHSI
美國股市指數
can be wrong
http://qt.gtimg.cn/?q=s_usDJI
DJI
can be wrong
http://qt.gtimg.cn/?q=s_usIXIC
纳斯达克
can be wrong
http://qt.gtimg.cn/?q=s_usINX
标普
牛熊证
can be wrong
http://qt.gtimg.cn/?q=s_hk11089
v_s_hk11089="100~瑞声麦银零四沽B~11089~0.062~0.020~47.62~340000.0~17240.000~~46.880~";
can be wrong
http://qt.gtimg.cn/?q=s_hk68071
v_s_hk68071="100~恒指中银零五熊A~68071~0.076~0.013~20.63~5048520000.0~384742870.000~~29000.000~";
http://web.ifzq.gtimg.cn/appstock/app/day/query?code=hk68071
恒指中银零五熊 5 days minute data
认股证
http://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar#mod=list&id=hk_wrnt&module=HK&type=WRNT
腾讯摩通九一沽
http://gu.qq.com/hk27514
http://sqt.gtimg.cn/utf8/q=r_hk27514
主板
http://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar#mod=list&id=hk_mb&module=HK&type=MB&sort=37&page=1&max=20
=================
移動平均公式
A股指數
sz399242 商务指数
sz399248 文化指数
sz399434 国证传媒
sz399971 中证传媒
sz399997 中证白酒
sz399810 CSSW传媒
sz399654 深证文化
sz399987 中证酒2
sz399684 深成消费
sz399617 深证消费
sz399691 创业专利
sh000831 500低贝
sz399669 深证农业
sz399557 央视文化
sz399231 农林指数
sz399365 国证农业
sh000815 细分食品
sz399396 国证食品
sh000807 食品饮料
sz399692 创业低波
sz399912 300 消费
sz399397 OCT文化
sh000912 300消费
sz399975 证券公司
sz399385 1000消费
sz399707 CSSW证券
sz399806 环境治理
sz399671 深防御5
sz399804 中证体育
sz399646 深消费5
sz399668 创业板V
sz399437 国证证券
sz399435 国证农牧
sz399665 中创低波
sh000990 全指消费
sz399932 中证消费
sh000932 中证消费
sz399297 新浪10
sz399249 综企指数
sz399408 小盘低波
sz399616 深证可选
sz399663 中小低波
sz399683 深成可选
sh000110 380金融
sh000804 500波动
sh000005 商业指数
sz399238 餐饮指数
sz399428 国证定增
sh000863 CS精准医
sz399015 中小创新
sz399706 深证下游
sz399376 小盘成长
sz399690 中小专利
sz399010 深证70
sz399802 500深市
sz399639 深证大宗
sz399629 700价值
sh000857 500医药
sh000020 中型综指
sz399628 700成长
sh000133 上证15
sh000809 细分农业
sz399316 巨潮小盘
sz399966 800非银
sz399235 建筑指数
sz399303 国证20
sh000852 中证10
sz399239 IT指数
sz399406 中盘低波
sz399346 深证成长
sh000989 全指可选
sz399695 深证节能
sh000942 内地消费
sz399403 防御10
sz399627 中创价值
sz399982 500等权
sz399812 养老产业
sh000982 500等权
sz399240 金融指数
sz399012 创业30
sz399427 专利领先
sz399640 创业基础
sz399326 成长40
sz399661 深证低波
sz399817 生态10
sz399624 中创40
sz399677 深互联EW
sz399805 互联金融
sz399420 国证保证
sz399626 中创成长
sz399234 水电指数
sz399377 小盘价值
sz399659 深成指EW
sz399244 公共指数
sz399384 1000可选
sz399905 中证 5
sz399409 小盘高贝
sh000905 中证50
sz399602 中小成长
sh000138 380低贝
sz399615 深证工业
sh000856 500工业
sz399243 科研指数
sz399374 中盘成长
sz399697 中关村6
sz399667 创业板G
sh000130 380波动
sz399102 创业板综
sh000079 公用等权
sz399401 中小盘3
sz399630 1000成长
sz399361 国证商业
sz399698 优势成长
sz399963 中证下游
sh000963 中证下游
sz399011 深证10
sh000998 中证TMT
sz399666 中创高贝
sz399324 深证红利
sz399009 深证20
sz399679 深证20
sh000036 上证消费
sz399653 深证龙头
sh000931 中证可选
sz399814 大农业9
sz399633 深300EW
sz399675 深互联网
sh000107 380可选
sz399931 中证可选
sh000822 500红利
sz399625 中创50
sz399100 新 指 数
sz399623 中小基础
sz399610 TMT5
sz399433 国证交运
sh000075 医药等权
sz399989 中证医疗
sz399013 深市精选
sz399664 中小高贝
sz399236 批零指数
sz399631 1000价值
sh000121 医药主题
sz399978 医药10
sz399606 创业板R
sh000938 中证民企
sz399101 中小板综
sz399618 深证医药
sz399337 深证民营
sz399006 创业板指
sz399993 CSWD生科
sh000978 医药10
sz399370 国证成长
sz399350 皖江30
sh000840 浙江民企
sz399647 深医药5
sh000827 中证环保
sz399001 深证成指
sz399002 深成指R
sh000161 沪中国造
sh000953 中证地企
sz399364 中金消费
sz399635 创业板EW
sh000109 380医药
sh000945 内地运输
sh000099 上证F3
sz399674 深A医药
sz399685 深成医药
sh000842 800等权
sz399348 深证价值
sh000847 腾讯济安
sz399637 深证地产
sz399008 中小30
sz399686 深成金融
sz399106 深证综指
sz399643 创业新兴
sz399660 中创EW
sz399107 深证Ａ指
sz399672 深红利5
sz399704 深证上游
sh000839 浙企综指
sz399656 100绩效
sz399651 中小责任
sz399676 深医药EW
sz399328 深证治理
sz399007 深证30
sh000966 基本40
sz399344 深证30
sh000074 消费等权
sz399320 国证服务
sz399410 苏州率先
sz399315 巨潮中盘
sz399233 制造指数
sh000096 上证下游
sz399612 中创10
sh000150 380红利
sz399611 中创10
sz399657 300绩效
sz399682 深成工业
sz399699 金融科技
sz399622 深证公用
sz399407 中盘高贝
sz399341 深证责任
sh000106 380工业
sh000830 500高贝
sh000802 500沪市
sh000147 优势消费
sh000115 380等权
sh000091 沪财中小
sh000907 中证70
sz399694 创业高贝
sz399649 中小红利
sz399662 深证高贝
sz399330 深证10
sz399911 300 可选
sz399004 深证10
sh000911 300可选
sh000957 300运输
sz399976 CS新能车
sz399957 300运输
sz399353 国证物流
sz399241 地产指数
sz399372 大盘成长
sz399604 中小价值
sh000808 医药生物
sz399655 深证绩效
sh000132 上证10
sz399696 深证创投
sz399237 运输指数
sz399673 创业板5
sh000858 500信息
sz399703 深证F2
sz399645 100低波
sh000988 全指工业
sh000838 创业价值
sz399360 新硬件3
sh000108 380消费
sz399018 创业创新
sz399632 深100EW
sh000027 180运输
sh000954 地企10
sh000849 300非银
sz399441 生物医药
sh000045 上证小盘
sh000902 中证流通
sz399638 深证环保
sz399429 新丝路1
sh000933 中证医药
sz399317 国证Ａ指
sh000985 中证全指
sh000141 380动态
sh000128 380基本
sh000055 上证地企
sz399933 中证医药
sh000120 380R价值
sh000811 细分有色
sh000991 全指医药
sz399972 300深市
sz399335 深证央企
sh000069 消费80
sz399614 深证材料
sz399634 中小板EW
sz399395 国证有色
sh000987 全指材料
sh000162 沪互联+
sh000117 380成长
sz399108 深证Ｂ指
sh000009 上证38
sz399394 国证医药
sh000949 内地农业
sz399681 深成材料
sz399979 大宗商品
sh000073 可选等权
sh000979 大宗商品
sz399702 深证F1
sh000103 沪消费品
sz399689 深成公用
sh000841 800医药
sz399005 中小板指
sz399333 中小板R
sz399701 深证F6
sz399375 中盘价值
sh000891 新兴综指
sz399017 SME创新
sh000158 上证环保
sh000119 380R成长
sh000142 380稳定
sz399398 绩效指数
sh000995 全指公用
sh000828 300高贝
sh000137 380高贝
sz399641 深证新兴
sh000153 上民红利
sh000806 消费服务
sz399422 中关村A
sh000854 500原料
sz399419 国证高铁
sz399415 I100
sh000122 农业主题
sz399386 1000医药
sz399232 采矿指数
sh000118 380价值
sz399650 中小治理
sh000819 有色金属
sz399362 国证民营
sz399553 央视回报
sh000126 消费50
sh000955 中证国企
sz399318 国证Ｂ指
sz399658 中小绩效
sh000097 高端装备
sz399813 中证国安
sz399904 中证 2
sz399311 国证10
sh000059 全R成长
sh000993 全指信息
sz399693 安防产业
sh000904 中证20
sh000826 民企红利
sh000046 上证中小
sz399939 民企20
sh000939 民企20
sh000135 180高贝
sz399383 1000工业
sh000920 300R成长
sz399619 深证金融
sz399992 CSWD并购
sh000113 380公用
sz399648 深证GDP
sz399620 深证信息
sh000037 上证医药
sh000983 智能资产
sh000131 上证高新
sh000071 材料等权
sh000975 钱江30
sz399418 国证国安
sh000969 300非周
sz399969 300非周
sz399382 1000材料
sz399644 深证时钟
sh000906 中证80
sz399687 深成信息
sh000041 上证公用
sh000105 380材料
sz399378 南方低碳
sh000803 300波动
sh000984 300等权
sz399990 煤炭等权
sz399393 国证地产
sh000007 公用指数
sh000090 上证流通
sh000930 中证工业
sz399390 1000公用
sh000960 中证龙头
sh000816 细分地产
sh000823 800有色
sz399003 成份Ｂ指
sh000814 细分医药
sh000171 新兴成指
sz399670 深周期5
sh000051 180等权
sz399339 深证科技
sh000948 内地地产
sz399423 中关村5
sz399965 800地产
sz399367 巨潮地产
sh000935 中证信息
sh000851 百发10
sz399935 中证信息
sz399016 深证创新
sz399363 计算机指
sz399400 大中盘2
sh000030 180R成长
sz399369 CBN-兴全
sh000129 180波动
sh000044 上证中盘
sz399417 新能源车
sz399608 科技10
sz399636 深证装备
sz399440 国证钢铁
sz399366 国证大宗
sh000104 380能源
sh000035 上证可选
sh000813 细分化工
sh000971 等权90
sz399312 国证30
sh000855 央视50
sz399388 1000信息
sh000850 300有色
sz399996 智能家居
sz399392 国证新兴
sz399399 中经GDP
sz399913 300 医药
sh000937 中证公用
sh000913 300医药
sh000844 300稳定
sh000981 300分层
sz399368 国证军工
sz399416 I300
sz399973 中证国防
sh000992 全指金融
sh000003 Ｂ股指数
sh000148 消费领先
sh000956 国企20
sz399319 资源优势
sz399391 投资时钟
sz399995 基建工程
sh000300 沪深30
sz399705 深证中游
sz399300 沪深30
sz399387 1000金融
sz399306 深证ETF
sh000929 中证材料
sz399412 国证新能
sz399103 乐富指数
sh000047 上证全指
sh000846 ESG
sz399402 周期10
sz399550 央视50
sh000159 沪股通2
sz399404 大盘低波
sz399379 国证基金
sz399556 央视生态
sz399934 中证金融
sz399967 中证军工
sz399322 国证治理
sh000064 非周期2
sz399314 巨潮大盘
sh000934 中证金融
sz399808 中证新能
sh000958 创业成长
sh000974 800金融
sh000843 300动态
sz399380 国证ETF
sz399958 创业成长
sz399959 军工指数
sz399994 信息安全
sz399970 移动互联
sz399642 中小新兴
sz399405 大盘高贝
sz399371 国证价值
sz399438 国证电力
sz399355 长三角3
sh000017 新综指2
sh000002 Ａ股指数
sh000001 上证指数
sz399918 300 成长
sh000918 300成长
sz399351 深圳创新
sh000865 上海国企
sh000967 基本60
sh000078 电信等权
sh000093 180分层
sh000070 能源等权
sz399354 分析师指数
sh000062 上证沪企
sh000004 工业指数
sz399807 高铁产业
sh000123 180动态
sh000077 信息等权
sz399903 中证10
sz399310 国证50
sh000057 全指成长
sh000072 工业等权
sz399983 地产等权
sh000903 中证10
sz399652 中创高新
sz399313 巨潮10
sh000824 国企红利
sh000006 地产指数
sz399411 红利10
sh000056 上证国企
sz399356 珠三角7
sz399352 深企综指
sh000853 CSSW丝路
sh000033 上证材料
sh000010 上证18
sz399922 中证红利
sh000922 中证红利
sz399914 300 金融
sh000914 300金融
sh000805 A股资源
sz399613 深证能源
sh000915 300信息
sh000829 300低贝
sh000972 300沪市
sh000125 180稳定
sh000921 300R价值
sh000018 180金融
sz399910 300 工业
sh000910 300工业
sh000968 300周期
sh000065 上证龙头
sz399811 CSSW电子
sh000962 中证中游
sh000926 中证央企
sh000100 上证F5
sh000952 300地产
sz399952 300地产
sh000940 财富大盘
sz399901 小康指数
sh000060 全R价值
sh000028 180成长
sh000145 优势资源
sh000901 小康指数
sz399321 国证红利
sz399974 国企改革
sz399909 300 材料
sh000909 300材料
sh000155 市值百强
sh000946 内地金融
sz399998 中证煤炭
sh000151 上国红利
sh000818 细分金融
sz399358 泰达指数
sh000965 基本20
sh000964 中证新兴
sz399964 中证新兴
sz399432 国证汽车
sh000016 上证50
sh000019 治理指数
sz399621 深证电信
sh000034 上证工业
sh000941 新能源1
sh000049 上证民企
sz399554 央视治理
sz399991 一带一路
sh000812 细分机械
sh000801 资源80
sh000008 综合指数
sh000980 中证超大
sz399307 深证转债
sz399551 央视创新
sh000821 300红利
sz399552 央视成长
sh000076 金融等权
sh000944 内地资源
sz399944 内地资源
sh000050 50等权
sh000098 上证F2
sh000095 上证中游
sz399688 深成电信
sh000031 180R价值
sh000136 180低贝
sh000860 结构调整
sz399809 保险主题
sz399555 央视责任
sh000039 上证信息
sh000068 上证资源
sh000053 180基本
sz399373 大盘价值
sz399359 国证基建
sh000820 煤炭指数
sh000943 内地基建
sh000146 优势制造
sh000038 上证金融
sz399803 工业4.
sz399919 300 价值
sh000919 300价值
sh000917 300公用
sz399917 300 公用
sh000927 央企10
sh000063 上证周期
sz399977 内地低碳
sh000054 上证海外
sh000977 内地低碳
sh000114 持续产业
sh000094 上证上游
sh000015 红利指数
sh000048 责任指数
sh000021 180治理
sh000111 380信息
sh000092 资源50
sz399389 国证通信
sh000058 全指价值
sh000025 180基建
sh000959 银河99
sh000970 ESG4
sh000950 300基建
sh000994 全指电信
sz399950 300基建
sz399961 中证上游
sh000961 中证上游
sh000066 上证商品
sz399413 国证转债
sh000832 中证转债
sh000102 沪投资品
sz399050 创新引擎
sh000029 180价值
sh000149 180红利
sz399436 国证煤炭
sh000052 50基本
sh000160 沪新丝路
sh000043 超大盘2
sz399925 基本面5
sh000925 基本面5
sh000011 基金指数
sh000042 上证央企
sz399680 深成能源
sz399357 环渤海2
sh000134 上证银行
sz399678 深次新股
sz399431 国证银行
sh000170 50AH优选
sh000947 内地银行
sz399986 中证银行
sh000026 180资源
sh000067 上证新兴
sh000139 上证转债
sz399951 300银行
sh000951 300银行
sh000040 上证电信
sh000986 全指能源
sh000152 上央红利
sh000825 央企红利
sh000867 港中小企
sh000810 细分能源
sz399439 国证油气
sh000032 上证能源
sz399381 1000能源
sh000116 信用10
sh000833 中高企债
sh000061 沪企债3
sz399298 深信中高
sh000013 企债指数
sz399301 深信用债
sz399302 深公司债
sh000923 公司债指
sh000022 沪公司债
sh000012 国债指数
sz399481 企债指数
sh000101 5年信用
sz399299 深信中低
sz399928 中证能源
sh000928 中证能源
sh000936 中证电信
sh000916 300电信
sz399908 300 能源
sh000908 300能源
sh000112 380电信
sh000869 HK银行
stkcode.js finalString
finalString = '<span class="redword">' + '<span onclick=sCt("' + theStartCode + '")>' + showTime()+ '</span>' + "</span> " + theStr
<script src="../stkcode.js"></script>
aastock code
var market = 'SH';
if (passInMarket == 'US') {
market = 'US';
s = ('代號/中文/拼音' == s ? 'AAPL' : s);
} else {
if (s.length == 6) {
market = 'SH';
} else {
s = ('代號/中文/拼音' == s ? '00001' : s);
s = '00000' + s;
s = s.substr(s.length - 5, 5)
market = 'HK';
}
}
5000 1 min, 1 day
5012 5 min, 3 days
1 10 min, 3 days
2 15 min, 5 days
3 30 min, 10 days
4 1 hr, 10 days
5 1 day, 1 month
6 1 day, 6 month
7 1 day, 3 month
8 1 wk, 6 month
9 1 day, 1 yr
10 1 wk, 1 yr
11 1 wk, 3 yr
12 1 month, 3 yr
13 1 wk, 8 yr
14 1 month, 8 yr
15 1 day, 3 yr
16 1 day, 5 yr
17 1 wk, 10 yr
18 1 month, 10 yr
20 5 minute, delayed
21 10 minute, delayed 3 days
22 15 minute, delayed 5 days
Dows 111000.HK
NYSE market
恆基發展HDVTY.NYSE 00097.HK
電訊盈科PCCWY.NYSE 00008.HK
中電控股CLPHY.NYSE 00002.HK
東亞銀行BKEAY.NYSE
NASDAQ market
SGYP.NASDAQ
RIOT.NASDAQ
CLXT.NASDAQ
AMEX market
GSAT.AMEX
NRCG.AMEX
AAPL.US
fillipine 1133.FS
forex 910722
decode 解析
can be wrong
http://qt.gtimg.cn/q=sz300059
can be wrong
http://qt.gtimg.cn/r=2&q=r_hk00700
v_sz300059="51
东方财富 <--2
300059 <--3
19.60 <--close <--4
18.96 <-昨收 <--5
18.60 <-今开 <--6
3.38 <-chg <--33
19.88 <-最高 <--34
18.06 <-最 低 <--35
19.60/4815474/9167061935 <-成交额 <--36
v_r_hk00700="100
腾讯控股 <-- 2
00700 <-- 3
335.800 <-成交价 <--4
340.200 <-昨收价 <--5
342.000 <-开盘价 <--6
342.600 <-最高价 <--34
334.600 <-最低价 <--35
6329897503.100 <-成交额 <--38
item 38 成交额
in intensive monitoring, note:
different address encoding
http://sqt.gtimg.cn/q=
sz300059
sh600115
the result with different docoding as above
while same minute data structure
http://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdminData&code=sh600115
five day minute data fdminData structure for hk and sh are the same
but, http://sqt.gtimg.cn/q=hk00816
to collect update data with format differences: the first item shows diff lot size
theTempT[linenum,1] = Info[3] # code
theTempT[linenum,2] = Info[2] # chiname
theTempT[linenum,3] = as.numeric(Info[4]) # price
theTempT[linenum,4] = as.numeric(Info[7]) # Vol
theTempT[linenum,5] = as.numeric(Info[8]) # Amt,
hk Amt at loc 38, unit in one dollar
sh Amt at loc 58 and unit in wan
http://sqt.gtimg.cn/q=r_hk00700,r_hk00981
http://sqt.gtimg.cn/q=r_hk00388
this is good!!
1 codedetail
2 chi name
3 code
4 成交价
5 昨收价
6 开盘价
7 成交量
34 最高价
35 最低价
37 成交量
38 成交额
44 振幅
49 成交价
50 52周最低
统计查找庄家大户出手分量
stat of the stk minute amt
http://web.ifzq.gtimg.cn/appstock/app/day/query?code=hk00700
data select from date:200303
date:200304 sample
time price acc qty diff amt
1600 394.000 19557990 2384800 939611200
amt= c(1150653,1519205,...19649568,19680868,19761368,21808968)
> sum(amt)
[1] 3897686644
> max(amt)
[1] 21808968
> length(amt)
[1] 332 # 1 extras after lunch, remove the begin and end point, + lunch pt
library(Hmisc)
minuteDiff = diff(amt) # this is the increment per minute
length(minuteDiff)
minuteDiff = minuteDiff[-length(minuteDiff)] # ths last is special
minuteDiff = minuteDiff[-1] # ths first is special
maxMinuteAmt = max(minuteDiff)
minMinuteAmt = min(minuteDiff)
> maxMinuteAmt
[1] 297945
> minMinuteAmt
[1] 0
> which(minuteDiff==maxMinuteAmt)
[1] 151 # this is the interval after lunch
> which(minuteDiff==minMinuteAmt)
[1] 150 # this is the interval just before lunch
minuteDiff = minuteDiff[-150] # remove this
gapSteps = 20
stepSize =round((maxMinuteAmt - minMinuteAmt)/gapSteps,0)
cutAmt <- cut2(minuteDiff, c(1:gapSteps)*stepSize)
plot(table(cutAmt))
table(cutAmt)
cutAmt # inside brackets are qtys
[ 3600, 14897) 38
[ 14897, 29794) 71
[ 29794, 44691) 62
[ 44691, 59588) 45
[ 59588, 74485) 40
[ 74485, 89382) 22
[ 89382,104279) 14
[104279,119176) 9
[119176,134073) 4 # set this cut point ~ 120000 qty at 390 = 46800000
[134073,148970) 3
[148970,163867) 5
[163867,178764) 4
[178764,193661) 3
[193661,208558) 1
[208558,223455) 3
223455 0
[238352,253249) 1
253249 0
[268146,283043) 2
283043 0
[297940,297945] 1
通达信行情主站
不同的侧重点，选择不同的行情服务器主站：
1.盘后可以看详细买卖盘的行情主站,都是中投证券的。
http://www.chcj.net/thread-855497-1-1.html
2.允许下载5分钟数据的行情主站,都是广发证券的。
hostname01=广发证券上海电信3(wind资讯+龙讯)
ipaddress01=61.152.96.25
port01=7709
hostname02=广发证券北京网通1(wind资讯+龙讯)
ipaddress02=202.108.254.51
port02=7709
hostname03=广发证券北京网通2(wind资讯+龙讯)
ipaddress03=202.108.254.52
port03=7709
hostname04=广发证券广州网通1(wind资讯+龙讯)
ipaddress04=210.21.113.204
port04=7709
hostname05=广发证券沈阳网通1(wind资讯+龙讯)
ipaddress05=218.25.10.90
port05=7709
hostname06=广发证券杭州电信1(wind资讯+龙讯)
ipaddress06=61.164.39.210
port06=7709
hostname07=广发证券杭州电信2(wind资讯+龙讯)
ipaddress07=61.164.39.211
port07=7709
hostname08=广发证券武汉电信1(wind资讯+龙讯)
ipaddress08=59.173.18.90
port08=7709
3.提供2分钟和5分钟涨速排名的行情主站，做权证用：
hostname01=2招商上海6(f10维赛特+港澳)
ipaddress01=222.73.26.23
port01=7709
hostname02=2招商南京1(f10维赛特+港澳)
ipaddress02=221.231.138.130
port02=7709
hostname03=2招商上海5(维赛特+港澳)
ipaddress03=222.73.26.22
port03=7709
hostname04=2招商南京2(f10维赛特+港澳)
ipaddress04=221.231.138.253
port04=7709
hostname05=2招商南京3(f10维赛特+港澳)
ipaddress05=221.231.138.254
port05=7709
hostname06=2证券之星(f10维赛特)
ipaddress06=202.109.107.3
port06=7709
hostname07=2广发上海(f10_万得+龙讯)
ipaddress07=61.152.96.25
port07=7709
hostname08=2国泰上海2(f10港澳)
ipaddress08=202.109.73.16
port08=7709
hostname09=2国泰上海1(f10港澳)
ipaddress09=202.109.73.15
port09=7709
hostname10=2南京证券电信(f10港澳)
ipaddress10=202.102.13.218
port10=7709
hostname11=2南京证券连云港78(f10港澳)
ipaddress11=218.92.11.78
port11=7709
hostname12=2南京证券网通179(f10港澳)
ipaddress12=221.6.5.179
port12=7709
hostname13=2南京证券电信132(f10港澳)
ipaddress13=202.102.13.132
port13=7709
hostname14=2南京证券连云港75(f10港澳)
ipaddress14=218.92.11.75
port14=7709
hostname15=2南京证券连云港76(f10港澳)
ipaddress15=218.92.11.76
port15=7709
hostname16=2南京证券网通178(f10港澳)
ipaddress16=221.6.5.178
port16=7709
hostname17=2财富上海（f10港澳）
ipaddress17=211.154.53.8
port17=7709
hostname18=5世纪南昌一（f10维赛特）
ipaddress18=59.52.255.149
port18=7709
hostname19=5世纪南昌二（f10维赛特）
ipaddress19=59.52.255.150
port19=7709
hostname20=2渤海证券(f10鹏搏)
ipaddress20=221.238.195.13
port20=7709
hostname21=2华泰南京（f10万国）
ipaddress21=221.231.141.10
port21=7709
hostname22=2华泰上海电信（f10万国）
ipaddress22=222.73.32.145
port22=7709
hostname23=2国泰上海2(f10港澳)
ipaddress23=202.109.73.16
port23=7709
hostname24=2国泰上海1(f10港澳)
ipaddress24=202.109.73.15
port24=7709
hostname25=第一创业（f10龙讯）
ipaddress25=218.18.103.214
port25=7709
hostname26=2国泰江苏电信(f10港澳)
ipaddress26=jstdx.gtjas.com
port26=7709
hostname27=2航空证券（f10万得）
ipaddress27=210.51.9.74
port27=7709
hostname28=2闽发福州（f10万得）
ipaddress28=202.101.139.192
port28=7709
hostname29=2闽发上海（f10万得）
ipaddress29=61.151.248.107
port29=7709
hostname30=中投证券-网通(港澳+维赛特)
ipaddress30=58.251.33.227
port30=443
hostname31=中投证券-北京(港澳+维赛特)
ipaddress31=202.106.111.71
port31=443
hostname32=中投证券-南京(f10港澳+维赛特)
ipaddress32=218.94.93.42
port32=7709
hostname33=2中信上海电信1(港澳)
ipaddress33=61.129.68.116
port33=7709
hostname34=2中信建投上海行情
ipaddress34=61.152.199.26
port34=7709
hostname35=长城证券行情电信2(f10港澳+巨灵)
ipaddress35=61.144.241.195
port35=7709
hostname36=长城证券行情电信3(f10港澳+巨灵)
ipaddress36=219.133.95.106
port36=7709
hostname37=长城证券行情电信4(f10港澳+巨灵)
ipaddress37=219.133.95.108
port37=7709
hostname38=5长城证券行情电信5(f10港澳+巨灵)
ipaddress38=60.191.100.211
port38=7709
hostname39=长城证券行情电信6(f10港澳+巨灵)
ipaddress39=60.191.100.212
port39=7709
hostname40=长城证券行情网通1(f10港澳+巨灵)
ipaddress40=210.21.197.38
port40=7709
hostname41=长城证券行情网通2(f10港澳+巨灵)
ipaddress41=210.21.198.214
port41=7709
hostname42=长城证券行情网通3(f10港澳+巨灵)
ipaddress42=218.61.32.85
port42=7709
hostname43=长城证券行情网通4(f10港澳+巨灵)
ipaddress43=218.61.32.86
port43=7709
hostname44=长城证券行情电信1(f10港澳+巨灵)
ipaddress44=61.144.241.196
port44=7709
1、直接寻找在券商提供443 、80、8080的端口，进行连接，我从论坛中搜到的地址见下，其中注意的是31、32我是其他的删除了，
服务器名称上的数字是我自己加的的含义：在通达信目录中找到connect.cfg文件，编写下列部分，在原行情服务器后面添加，需要注意的是hostnum=45 这个是服务器的数量，一定要记得改，否则设再多也没用。
[hqhost]
hostnum=45
//行情网站的数目，此数目一定要大于下面的行情网站总数，否则小于次数字的网站不显示
primaryhost=33
//行情网站前面的数字2和5代表了此主站涨速排名的时间，涨速是盘中单位时间内的涨幅。就是现在的价格较设定时间前的价格之涨幅。即可以任意调整（但设成1分钟时，数据会错，正常设成2分钟，我做作权证，所以设成2）和5分钟
hostname01=2招商上海6(f10维赛特+港澳)
hostname30=中投证券-网通(港澳+维赛特)
ipaddress30=58.251.33.227
port30=443
hostname31=2中投网通-北京(港澳)
ipaddress31=202.106.111.71
port31=443
hostname34=2中投电信hq.cjis.cn(f10维赛特+港澳)
ipaddress34=121.15.9.226
port34=443
hostname35=2国金电信1-443(巨灵)
ipaddress35=202.98.123.64
port35=443
hostname36=2国金电信2-443(巨灵)
ipaddress36=221.236.13.167
port36=443
hostname37=国金电信3-80(巨灵)
ipaddress37=02.98.123.64
port37=80
hostname38=国金电信4-80(巨灵)
ipaddress38=221.236.13.167
port38=80
hostname39=5汉唐证券通达信(港澳)
ipaddress39=61.177.74.24
port39=443
hostname40=招商深圳1-80(维赛特+港澳)
ipaddress40=59.40.77.17
port40=80
hostname41=招商济南1-80(维赛特+港澳)
ipaddress41=60.217.234.93
port41=80
hostname42=光大上海电信5-8080(维赛特)
ipaddress42=222.73.16.96
port42=8080
hostname43=湘财北京网通-80(港澳)
ipaddress43=210.51.0.184
port43=80
hostname44=湘财长沙电信-80(港澳)
ipaddress44=202.103.67.169
port44=80
hostname45=大同北方网通-80(港澳)
ipaddress45=221.204.249.148
port45=80
至于资讯服务器，同样也是连接443、80的服务器：
hostname03=国金电信巨灵
ipaddress03=202.98.123.219
port03=443
hostname04=国金电信巨灵资讯1
ipaddress04=221.236.13.170
port04=443
hostname06=国金电信巨灵80
ipaddress06=202.98.123.219
port06=80
hostname09=国金电信巨灵1-80
ipaddress09=221.236.13.170
port09=80
hostname24=汉唐证券通达信资讯(港澳)
ipaddress24=61.177.74.23
port24=443
hostname25=湘财上海网通-80(港澳)
ipaddress25=210.52.216.161
port25=80
HostName01=VIP_招商深圳1
IPAddress01=121.14.110.205
Port01=7709
HostName02=VIP_招商深圳2
IPAddress02=113.105.73.78
Port02=7709
HostName03=VIP_招商深圳3
IPAddress03=113.105.73.79
Port03=7709
HostName04=VIP_招商广州1
IPAddress04=58.63.245.75
Port04=443
HostName05=VIP_招商广州2
IPAddress05=121.14.62.162
Port05=7709
HostName06=VIP_招商北京1
IPAddress06=210.51.186.201
Port06=7709
HostName07=VIP_招商北京2
IPAddress07=61.135.142.77
Port07=7709
HostName08=VIP_招商上海1
IPAddress08=114.80.80.205
Port08=7709
HostName09=VIP_招商上海2
IPAddress09=222.73.49.10
Port09=7709
HostName10=VIP_招商济南
IPAddress10=123.129.203.15
Port10=443
gu.qq charts with codes
http://gu.qq.com/usDJI 道琼斯
http://gu.qq.com/usIXIC 纳斯达克
http://gu.qq.com/usINX 标普500
http://gu.qq.com/sh000001 上证指数
http://gu.qq.com/sz399001 深证成指
http://gu.qq.com/hkHSI 恒生指数
request multi codes
can be wrong
http://qt.gtimg.cn/q=sh000001,sz399001,r_hkHSI
gold
https://img.finance.qq.com/sstock/js/sge.js
var v_gold=new Array(new Array("2015-06-02 15:14:22","Ag(T+D)","3562.000","3563.000","3579.000","3639.000","3558.000","3598.000","0.000","4624422.0000","16638670356.00"),new Array("2015-06-02 15:14:21","Au(T+D)","236.650","236.790","237.100","239.980","236.510","237.940","0.000","29046.0000","6911205.24"),new Array("2015-06-02 15:14:21","Au100g","237.390","236.910","237.300","239.450","236.910","237.530","0.000","65.6000","15581.97"),new Array("2015-06-02 15:14:21","Au99.95","236.740","237.100","236.950","237.200","236.750","236.920","0.000","1634.0000","387127.28"),new Array("2015-06-02 15:14:21","Au99.99","236.790","237.390","236.980","239.700","236.600","237.080","0.000","12380.4600","2935159.46"),new Array("2015-06-02 15:14:21","Pt99.95","235.500","237.500","234.500","237.500","234.250","234.550","0.000","580.0000","136039.00"),new Array("2015-06-02 15:14:21","Au(T+N1)","237.000","237.750","237.500","239.900","237.000","238.600","0.000","39.4000","9400.84"),new Array("2015-06-02 15:14:21","Au(T+N2)","242.350","241.950","240.850","242.300","240.450","241.150","0.000","37.8000","9115.47"),new Array("2015-06-01 19:12:56","Ag99.9","4092.000","0.000","0.000","0.000","0.000","0.000","0.000","0.0000","0.00"),new Array("2015-06-02 15:14:21","iAu99.99","237.180","236.500","237.300","238.300","236.500","236.960","0.000","9222.6200","2185392.04"),new Array("2015-06-02 15:14:21","Ag99.99","3582.000","0.000","0.000","0.000","0.000","0.000","0.000","0.0000","0.00"),new Array("2015-06-02 15:14:21","mAu(T+D)","236.930","236.860","237.200","239.900","236.500","238.240","0.000","3072.0000","731873.28"),new Array("2015-06-02 15:14:21","iAu100g","241.000","0.000","0.000","0.000","0.000","0.000","0.000","0.0000","0.00"),new Array("2015-06-01 19:12:56","iAu99.5","237.800","0.000","0.000","0.000","0.000","0.000","0.000","0.0000","0.00"),new Array("","","","","","","","","","",""));
全球指数
can be wrong
http://qt.gtimg.cn/q=gzN225,gzKS11,gzFBMKLCI,gzSET,gzJKSE,gzPCOMP,gzKSE100,gzENSEX,gzVNINDEX,gzCSEALL,gzSASEIDX,gzS51,gzNZSE50FG,gzCASE&r=813209011
v_gzN225 N225~日经225指数
v_gzKS11 KS11~韩国首尔综合
v_gzFBMKLCI FBMKLCI~富时马来西亚KLCI综合指数
v_gzSET SET~泰国SET指数
v_gzJKSE JKSE~印度尼西亚雅加达综合指数
v_gzPCOMP PCOMP~菲律宾PSE综合股价指数
v_gzKSE100 KSE100~巴基斯坦KARACHI100指数
v_gzENSEX ENSEX~印度孟买SENSEX指数
v_gzVNINDEX VNINDEX~越南胡志明市股票指数
v_gzCSEALL CSEALL~斯里兰卡股票指数
v_gzSASEIDX SASEIDX~沙特阿拉伯综合指数
v_gzS51 S51~澳大利亚标准普尔200指数
v_gzNZSE50FG NZSE50FG~新西兰NZSE50指数
v_gzCASE CASE~埃及CASE30指数
can be wrong
http://qt.gtimg.cn/q=marketStat,usDJI,usIXIC,usINX,gzGSPTSE,gzMXX,gzIBOV,gzMERVAL,gzFTSE,gzINDEXCF,gzFCHI,gzSSMI,gzFTSEMIB,gzSMSI,gzOMX,gzHEX,gzOSEAX,gzISEQ,gzAEX,gzIBEX,gzICEXI,sh000001,sz399001,r_hkHSI,gzTWII&r=360815421
v_marketStat="2020-03-25 09:50:01|HK_open_交易中|SH_open_交易中|SZ_open_交易中|US_close_已收盘|SQ_open_交易中|DS_open_交易中|ZS_open_交易中|NEWSH_open_交易中|NEWSZ_open_交易中|NEWHK_open_交易中|NEWUS_close_已收盘|REPO_open_交易中|UK_close_未开盘|KCB_open_交易中";
v_usDJI real 道琼斯 .DJI
v_usIXIC real 纳斯达克 .IXIC
v_usINX real 标普500 .INX
v_gzGSPTSE GSPTSE 加拿大S&P/TSX综合指数 5:13 PM
v_gzMXX MXX 墨西哥BOLSA指数 6:40 PM
v_gzIBOV IBOV 巴西BOVESPA股票指数 4:21 PM
v_gzMERVAL MERVAL 阿根廷梅尔瓦指数 3/20/2020
v_gzFTSE FTSE 英国富时100指数 12:45 PM
v_gzINDEXCF INDEXCF 俄罗斯MICEX指数 2020-03-24
v_gzFCHI FCHI 法国CAC40指数 1:05 PM
v_gzSSMI SSMI 瑞士股票指数 5:06 PM
v_gzFTSEMIB FTSEMIB 富时意大利MIB指数 12:37 PM
v_gzSMSI SMSI 西班牙马德里综合指数 12:38 PM
v_gzOMX OMX OMX斯德哥尔摩30指数 12:35 PM
v_gzHEX HEX 丹麦OMXPHI指数 12:36 PM
v_gzOSEAX OSEAX 挪威OSEAX指数 12:03 PM
v_gzISEQ ISEQ 爱尔兰总指数 1:05 PM
v_gzAEX AEX 荷兰AEX综合指数 1:05 PM
v_gzIBEX IBEX 西班牙IBEX 35指数 12:38 PM
v_gzICEXI ICEXI 冰岛15指数 12:36 PM
v_sh000001 1 上证指数 000001
v_sz399001 51 深证成指 399001
v_r_hkHSI 100 恒生指数 HSI
v_gzTWII TWII 台湾加权指数 9:10 PM
can be wrong
http://qt.gtimg.cn/q=gzFCHI
can be wrong
http://qt.gtimg.cn/q=usX,usWUBA,usWDC,usWDAY,usWBA,usVXZ,usVXX,usVWO,usVNQ,usVMW,usVIXY,usVGK,usVEA,usV,usUYM,usUYG&r=968772017
v_usX 200 美国钢铁 X.N
v_usWUBA 200 58同城 WUBA.N
v_usWDC 200 西部数据 WDC.OQ
v_usWDAY 200 工时公司 WDAY.OQ
v_usWBA 200 沃尔格林 WBA.OQ
v_usVXZ 200 中期波动率指数期货ETN VXZ.AM
v_usVXX 200 短期VIX指数期货ETN VXX.AM
v_usVWO 200 新华富时新兴市场ETF VWO.AM
v_usVNQ 200 美国不动产信托指数ETF VNQ.AM
v_usVMW 200 威睿 VMW.N
v_usVIXY 200 短期期货波动指数ETF VIXY.AM
v_usVGK 200 新华富时欧洲发展ETF VGK.AM
v_usVEA 200 新华富时发达市场ETF VEA.AM
v_usV 200 维萨卡 V.N
v_usUYM 200 基础材料指数两倍做多 UYM.AM
v_usUYG 200 金融股ETF两倍做多 UYG.AM
主要美股
can be wrong
http://qt.gtimg.cn/q=usDJI,usZTO,usZSL,usZNGA,usZKIN,usYXI,usYUMC,usYINN,usYELP,usYCS,usYANG,usY,usXRT,usXPP,usXME,usXLY,usXLV,usXLU,usXLP,usXLNX,usXLI,usXLF,usXLE,usXLB,usXHB&r=968747691
v_usDJI real 道琼斯 .DJI
v_usZTO 200 中通快递 ZTO.N
v_usZSL 200 白银现货价格两倍做空 ZSL.AM
v_usZNGA 200 Zynga ZNGA.OQ
v_usZKIN 200 正康国际 ZKIN.OQ
v_usYXI 200 中国50指数做空 YXI.AM
v_usYUMC 200 百胜中国 YUMC.N
v_usYINN 200 FTSE中国三倍做多 YINN.AM
v_usYELP 200 Yelp YELP.N
v_usYCS 200 日元ETF两倍做空 YCS.AM
v_usYANG 200 FTSE中国三倍做空ETF YANG.AM
v_usY 200 Alleghany Corp Y.N
v_usXRT 200 标普零售行业指数ETF XRT.AM
v_usXPP 200 富时中国50指数两倍做多 XPP.AM
v_usXME 200 金属与采矿指数ETF XME.AM
v_usXLY 200 消费品指数-SPDR XLY.AM
v_usXLV 200 健康照护类股ETF XLV.AM
v_usXLU 200 公共事业指数ETF XLU.AM
v_usXLP 200 消费品指数ETF-SPDR XLP.AM
v_usXLNX 200 赛灵思 XLNX.OQ
v_usXLI 200 工业指数ETF XLI.AM
v_usXLF 200 金融行业ETF XLF.AM
v_usXLE 200 能源指数ETF XLE.AM
v_usXLB 200 基础材料ETF-SPRD XLB.AM
v_usXHB 200 标普房产行业指数 XHB.AM
重要美股
http://stock.gtimg.cn/data/index.php?appn=usRank&t=IMP/code&p=1&o=0&l=40&v=list_data
list_data
ZTO.N ZTO
ZSL.AM ZSL
ZNGA.OQ ZNGA
ZKIN.OQ ZKIN
YXI.AM YXI
YUMC.N YUMC
YINN.AM YINN
YELP.N YELP
YCS.AM YCS
YANG.AM YANG
Y.N Y
XRT.AM XRT
XPP.AM XPP
XME.AM XME
XLY.AM XLY
XLV.AM XLV
XLU.AM XLU
XLP.AM XLP
XLNX.OQ XLNX
XLI.AM XLI
XLF.AM XLF
XLE.AM XLE
XLB.AM XLB
XHB.AM XHB
X.N X
WUBA.N WUBA
WDC.OQ WDC
WDAY.OQ WDAY
WBA.OQ WBA
VXZ.AM VXZ
VXX.AM VXX
VWO.AM VWO
VNQ.AM VNQ
VMW.N VMW
VIXY.AM VIXY
VGK.AM VGK
VEA.AM VEA
V.N V
UYM.AM UYM
UYG.AM UYG
to discover foreign stock details
can be wrong
http://qt.gtimg.cn/q=gzN225
http://web.sqt.gtimg.cn/q=usDJI,usZTO
http://sqt.gtimg.cn/utf8/q=r_hkHSI
http://web.ifzq.gtimg.cn/portable/mobile/qt/data?_var=v_mgpx&code=usZTO.N
this is daily data
http://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usZTO.N,day,,,320,qfq
this is minute data
http://web.ifzq.gtimg.cn/appstock/app/UsMinute/query?_var=min_data_usZTON&code=usZTO.N
this is minute data of another
http://web.ifzq.gtimg.cn/appstock/app/UsMinute/query?_var=min_data_usMSN&code=usMS.N
this is daily trend data
http://web.ifzq.gtimg.cn/other/klineweb/klineWeb/weekTrends?code=usZTO.N&type=qfq&_var=trend_qfq
this is finance_data
http://web.ifzq.gtimg.cn/appstock/us/UsCw/cwData?page=1&symbol=usZTO.N&num=10&_var=cw_finance_data
http://web.ifzq.gtimg.cn/appstock/us/Manager/getTrade?symbol=usZTO.N&page=1&num=10&_callback=jQuery112408026476536166085_1585103297869&_=1585103297870
http://web.ifzq.gtimg.cn/appstock/us/Manager/getManager?symbol=usZTO.N&page=1&num=10&_callback=jQuery112408026476536166085_1585103297867&_=1585103297868
基金行情
http://gu.qq.com/sh511880
can be wrong
http://qt.gtimg.cn/?q=sh511880
can be wrong
http://qt.gtimg.cn/?q=sz160723
v_sh511880="1~银华日利~511880~101.005~100.986~100.995~634484~307461~327023~101.004~2660~101.003~673~101.002~3272~101.001~374~101.000~1698~101.005~8656~101.006~3105~101.007~4007~101.008~10683~101.009~10250~~20200605154043~0.019~0.02~101.007~100.995~101.005/634484/6408449845~634484~640845~~~~101.007~100.995~0.01~~~0.00~111.085~90.887~0.78~-28024~101.003~~~~~~640844.9845~0.0000~0~ ~ETF~0.90~~~~";
银华交易型货币A（511880）LOF/ETF用手机看设置提醒加入自选
实时报价 101.005
+0.019 +0.02%
2020-06-05 15:40:43
单位净值：101.0070 今 开：100.995 最 高：101.007 成交量：63.45万手
累计净值：123.9100 昨 收：100.986 最 低：100.995 成交额：640845.00万
净值日期：2020-06-05 折溢价率：-0.00% 最新规模：688.8亿元 交易状态：场内交易
v_sh511880="1~银华日利~511880~101.005~100.986~100.995~
成交量
634484~307461~327023~101.004~2660~101.003~673~101.002~3272~101.001~374~101.000~1698~101.005~8656~101.006~3105~101.007~4007~101.008~10683~101.009~10250~~20200605154043~0.019~0.02~101.007~100.995~101.005/
634484/6408449845~
634484~640845~~~~101.007~100.995~0.01~~~0.00~111.085~90.887~0.78~-28024~101.003~~~~~~640844.9845~0.0000~0~ ~ETF~0.90~~~~";
Note: unable to extract all fund notes because table not exist in source code, probably loaded by script
to analyse all fund performances, first collect all code numbers
and then modify the kline program
日成交金额
沪深基金 日成交金额超过800万 大约200只
沪深股市 日成交金额超过800万 大约3650只
香港股市 日成交金额超过800万 大约450只
基金编码
两位为15、16、18的是深圳证券交易所基金
50、51、52的是上海证券交易所基金
US data analysis
标普500 INX
can be wrong
http://qt.gtimg.cn/?q=s_usINX,s_usXHB,s_usUDOW
v_s_usINX="real~标普500~.INX~3053.24~44.19~1.47~2633408640~0~~";
3053.24
+44.19
+1.47%
成交量:263341万
今开:3018.59
最高价:3053.8952
周最高价:3393.52
昨收:3009.05
最低价:2999.7452
周最低价:2191.86
成交量:263341万
v_s_usXHB="200~标普房产行业指数~XHB.AM~43.24~1.46~3.49~2339859~100183806~~"; v_s_usUDOW="200~道指平均指数三倍做多~UDOW.AM~61.47~3.90~6.77~4293197~258066998~~";
decoding us index kline
http://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=us.INX,day,,,320,qfq
kline_dayqfq={"code":0,"msg":"","data":{"us.INX":{"qfqday":
...
["2020-06-25","3046.60","3083.76","3086.25","3024.01","2707762288.00"],
["2020-06-26","3073.20","3009.05","3073.73","3004.63","4385258096.00"],
["2020-06-29","3018.59","3053.24","3053.89","2999.74","2633408640.00"]],
"qt":{"us.INX":
["real","\u6807\u666e500",".INX","3053.24","3009.05","3018.59","2633408640","15626334030846","15626334030846","3010.59","0","0","0","0","0","0","0","0",...
DOWS usDJI daily
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=us.DJI,day,,,320,qfq
NASDAQ IXIC daily
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=us.IXIC,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usIXIC,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usZTO,day,,,320,qfq
usZTO.N daily
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usZTO.N,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=us.ZTO,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=us.YUMC,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usYUMC,day,,,320,qfq
usYUMC.N daily
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usYUMC.N,day,,,320,qfq
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_weekqfq¶m=usYUMC.N,week,,,320,qfq
usQCOM.OQ daily
https://web.ifzq.gtimg.cn/appstock/app/usfqkline/get?_var=kline_dayqfq¶m=usQCOM.OQ,day,,,320,qfq
usYUMC.N week
usQCOM.OQ week
https://web.ifzq.gtimg.cn/other/klineweb/klineWeb/weekTrends?code=usQCOM.OQ&type=qfq&_var=trend_qfq
https://web.sqt.gtimg.cn/q=usDJI,usDJI
can be wrong
https://qt.gtimg.cn/?q=s_usZTO,s_usX,s_usDJI,s_usIXIC
can be wrong
https://qt.gtimg.cn/?q=s_usQCOM,s_usYUMC,s_usZTO,s_usX,s_usDJI,s_usIXIC
https://btrace.qq.com/kvcollect?iQQ=&sOp=11&BossId=1665&Pwd=0&sBiz=us
finance.sina.com
http://vip.stock.finance.sina.com.cn/mkt/
https://hq.sinajs.cn/?_=&list=sh688126
https://hq.sinajs.cn/&list=sh688126
var hq_str_sh688126="沪硅产业,32.800,33.030,33.110,34.000,32.670,33.100,33.110,64103923,2131416791.000,81037,33.100,15906,33.090,17163,33.080,9385,33.070,6589,33.060,16735,33.110,39851,33.120,101394,33.130,1733,33.140,22845,33.150,2020-07-02,15:29:59,00,D|29460|975420.60";
https://stock.finance.sina.com.cn/hkstock/quotes/00257.html
https://hq.sinajs.cn/&list=rt_hk00257
https://hq.sinajs.cn/?_=0.5261534487834243&list=rt_hk00257,hk00257_i
https://hq.sinajs.cn/?_=1593697530659&list=rt_hk00257
https://hq.sinajs.cn/?_=1593697531038&list=rt_hk00008,rt_hk00762,rt_hk02318,rt_hk03328,rt_hk01398,rt_hk00005,rt_hk02628,rt_hk00001,rt_hk03988,rt_hk00941,rt_hk01088,rt_hk00700,rt_hk00939,rt_hk00857,rt_hk01288,rt_hk02600,rt_hk02899,rt_hk00728
https://hq.sinajs.cn/list=rt_hk00257,hk00257_i,HKDCNY,s_,rt_hkCSCSHQ
holidays
https://hq.sinajs.cn/&list=market_stock_hk
https://hq.sinajs.cn/rn=1593697530169&list=s_sh000001,s_sz399001,rt_hkHSI,gb_$dji,gb_ixic,b_SX5E,b_UKX,b_NKY,hf_CL,hf_GC,hf_SI,hf_CAD
forex = ['USDTRY', 'USDZAR', 'AUDUSD', 'USDCAD', 'USDCHF', 'USDCNH', 'CZKUSD', 'DKKUSD', 'EURUSD', 'GBPUSD', 'USDHKD', 'USDHUF', 'ILSUSD', 'USDINR', 'USDJPY', 'USDMXN', 'MYRUSD', 'USDNOK', 'NZDUSD', 'PLNUSD', 'USDRUB', 'SEKUSD', 'SGDUSD', 'ARSUSD', 'USDPHP', 'USDKRW', 'USDIDR'];
在岸人民币(USDCNY)
case studies
00317 features
8.17 101 6.1 0.1
cXmW1Up cXmW3Up XmW3Up cXWAvUp
price up amt 101 poding
code number: 00347 鞍钢股份
2.32 515 1.3 0.4
cXmW1Up cXmW3Up XmW3Up cXWAvUp upXAmt
price up amt 515
code number: 00460 四环医药
VlAmt 0.86 815 2.4 0
0.91 558 8.3 2.2
cXmW1Up cXmW3Up XmW3Up cXWAvUp cX700Up upXAmt
code number: 02689 玖龙纸业
09:31:27 high rise
cXmW1Up cXmW3Up XmW3Up cXWAvUp cX700Up upXAmt
10.4 1955 8.1 8.1
09:35:28
UpTrig cX40Up upXAmt
10.7 1357 11.2 2.9
Very important
colors in the intensiveMon:
orange strongSigList this is the daily detected list
gold mustadd
deeppink shortTerm this is the daily detected list
purple heavyStk
others pink
find the realtime upcross not the strong or uptrend
update a page with open and end with large amt
detect very large amt at being and end of day trades
compare result at end of days
find items in the classifiedList.txt
sort by price in view report
code number:02801 02801 安硕中国ETF
code number:00142 00142 第一太平
code number:00906 00906 中粮包装
code number:01108 01108 洛阳玻璃股份
code number:00136 00136 恒腾网络
code number:02238 02238 广汽集团
code number:00438 00438 彩虹新能源
02606
市值 市盈率
http://web.sqt.gtimg.cn/q=r_hk00788
item 45, unit in ww
以鐵塔市值690億元計，單日成交有9.6億元，相當可觀。
相對於電訊股聯通（762）市值1750億元，上周五成交只有4.99億元。
中國鐵塔只有聯通四成市值，卻多其近一倍成交。
http://web.sqt.gtimg.cn/q=r_hk00788
[45] 690.63 in unit億
成交金額
[38] 1810628856.620 in unit hkd, have to divided by 10000
s key to open random stk
create AmtHistory, option to select the most recent 10 day history
filter the Allcode to remove amt < 200w that means copyt the codatable will be ok
陰陽線幅度代表大吉大凶
detect trend together with amt range to verify chances
detect 逆市上升 逆勢下跌 低位大成交 一月內多次沖高 業績轉好
98102584
恒生強積金
check for activities in history
load list for all folder Allcode.*
read line
allstarlrgAmtList
daily very large amt, must have action behind
filter by 7000 line
filter by 0.5 < price < 11 line
finance.qq API
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices
全部股指
港股
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=hk_mb&module=HK&type=MB
主板
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=hk_gem&module=HK&type=GEM
创业板
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=hk_mb&module=HK&type=MB
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=hk_mb&module=HK&type=MB&sort=37&page=10
香港股市 主板, sort amt, max pages 94
A股
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=bd_cpt&module=BD&type=02
概念
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=bd_cpt&module=BD&type=02&sort=8&page=1&max=80
概念80
https://stockapp.finance.qq.com/mstats/?pgv_ref=fi_quote_navi_bar&id=indices#mod=list&id=bd_cpt&module=BD&type=02&sort=10&page=1&max=80
概念80 sort amt
type=01 or 02
https://mat1.gtimg.com/finance/js/st/p/mstats/list_v20190625103334.js
script to create result table
eastmoney.com daily klines
theurl="https://98.push2his.eastmoney.com/api/qt/stock/kline/get?&ut=fa5fd1943c7b386f172d6893dbfba10b&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=101&fqt=1&end=20500101&lmt=10&&secid=0.000001"
klineArr = []
$.get(theurl).done(function(jsonObj) {
stkcode = jsonObj.data.code
stkname = jsonObj.data.name
klineArr = jsonObj.data.klines
console.log("stkcode",stkcode, "\nstkname",stkname)
klinesstr = klineArr[9]
kline9 = klinesstr.split(",")
console.log(
"\ndate", kline9[0],
"\nopen", kline9[1],
"\nclose", kline9[2],
"\nhigh", kline9[3],
"\nlow", kline9[4],
"\nqty", kline9[5],
"\namt", kline9[6],)
})
klineArr
allkline = klineArr.split(",")
eastmoney day kline code 837046, days 30
https://push2his.eastmoney.com/api/qt/stock/kline/get?&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=102&fqt=1&end=20500101&lmt=30&secid=0.837046
secid=0 bjmarket, shenzhen markei
secid=1 shanghai market
lmt= days
secid=0.837046 stk code
others must exist
$.get(theurl).done(function(jsonObj) {
console.log(jsonObj.data.code, jsonObj.data.name, jsonObj.data.klines[0])
})
$.get(theurl).done(function(jsonObj) {
stkcode = jsonObj.data.code
stkname = jsonObj.data.name
klines = jsonObj.data.klines
})
"data":{"code":"837046",
"name":"亿能电力",
"klines":[
minute data
theurl="https://push2delay.eastmoney.com/api/qt/stock/fflow/kline/get?lmt=0&klt=1&fields1=f1,f2,f3,f7&fields2=f51,f52,f53,f54,f55,f56&ut=fa5fd1943c7b386f172d6893dbfba10b&secid=0.000001"
day klines
https://quote.eastmoney.com/sz000001.html
https://98.push2his.eastmoney.com/api/qt/stock/kline/get?&ut=fa5fd1943c7b386f172d6893dbfba10b&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=101&fqt=1&end=20500101&lmt=10&&secid=0.000001
"2024-11-07,11.50,11.91,11.93,11.48,2242844,2627007560.71,3.90,3.12,0.36,1.16"
date, open, close, high, low, qty, amt
theurl="https://98.push2his.eastmoney.com/api/qt/stock/kline/get?&ut=fa5fd1943c7b386f172d6893dbfba10b&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=101&fqt=1&end=20500101&lmt=10&&secid=0.000001"
klineArr = []
$.get(theurl).done(function(jsonObj) {
stkcode = jsonObj.data.code
stkname = jsonObj.data.name
klineArr = jsonObj.data.klines
console.log("stkcode",stkcode, "\nstkname",stkname)
klinesstr = klineArr[9]
kline9 = klinesstr.split(",")
console.log(
"\ndate", kline9[0],
"\nopen", kline9[1],
"\nclose", kline9[2],
"\nhigh", kline9[3],
"\nlow", kline9[4],
"\nqty", kline9[5],
"\namt", kline9[6],)
})
week klines
theurl="https://push2his.eastmoney.com/api/qt/stock/kline/get?&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58%2Cf59%2Cf60%2Cf61&klt=102&fqt=1&end=20500101&lmt=30&secid=0.837046"
东方行情中心 europe indexes
http://45.push2.eastmoney.com/api/qt/ulist.np/get?fid=f3&pi=0&pz=40&po=1&ut=bd1d9ddb04089700cf9c27f6f7426281&fltt=2&fields=f14,f12,f13,f2,f3,f4,f6,f104,f105,f106&np=1&cb=jQuery112408304198408999743_1635255405233&secids=100.TOP40%2C100.AS51%2C100.ATX%2C100.BFX%2C100.BVSP%2C100.TSX%2C100.PX%2C100.FCHI%2C100.HEX%2C100.GDAXI%2C100.AEX%2C100.ASE%2C100.SENSEX%2C100.ICEXI%2C100.JKSE%2C100.N225%2C100.KS11%2C100.ISEQ%2C100.MIB%2C100.KLSE%2C100.MXX%2C100.NZ50%2C100.KSE100%2C100.WIG%2C100.RTS%2C100.OMXSPI%2C100.STI%2C100.CSEALL%2C100.IBEX%2C100.SSMI%2C100.SET%2C100.TWII%2C100.FTSE%2C100.DJIA%2C100.NDX%2C100.SPX%2C100.VNINDEX&_=1635255405283
TOP40 富时/JSE南非40
AS51 澳大利亚标普200
ATX 奥地利ATX
BFX 比利时BFX
BVSP 巴西BOVESPA
TSX 加拿大S&P/TSX
PX 布拉格指数
FCHI 法国CAC40
HEX 芬兰赫尔辛基
GDAXI 德国DAX30
AEX 荷兰AEX
ASE 希腊雅典ASE
SENSEX 印度孟买SENSEX
ICEXI 冰岛ICEX
JKSE 印尼雅加达综合
N225 日经225
KS11 韩国KOSPI
ISEQ 爱尔兰综合
MIB 富时意大利MIB
KLSE 富时马来西亚KLCI
MXX 墨西哥BOLSA
NZ50 新西兰50
KSE100 巴基斯坦卡拉奇
WIG 波兰WIG
RTS 俄罗斯RTS
OMXSPI 瑞典OMXSPI
STI 富时新加坡海峡时报
CSEALL 斯里兰卡科伦坡
IBEX 西班牙IBEX35
SSMI 瑞士SMI
SET 泰国SET
TWII 台湾加权
FTSE 英国富时100
DJIA 道琼斯
NDX 纳斯达克
SPX 标普500
VNINDEX 越南胡志明
东方行情中心 europe indexes decode
http://45.push2.eastmoney.com/api/qt/ulist.np/get?fid=f3&pi=0&pz=40&po=1&ut=bd1d9ddb04089700cf9c27f6f7426281&fltt=2&fields=f14,f12,f13,f2,f3,f4,f6,f104,f105,f106&np=1&cb=jQuery112408304198408999743_1635255405233&secids=100.TOP40,100.AS51,100.ATX,100.BFX,100.BVSP,100.TSX,100.PX,100.FCHI,100.HEX,100.GDAXI,100.AEX,100.ASE,100.SENSEX,100.ICEXI,100.JKSE,100.N225,100.KS11,100.ISEQ,100.MIB,100.KLSE,100.MXX,100.NZ50,100.KSE100,100.WIG,100.RTS,100.OMXSPI,100.STI,100.CSEALL,100.IBEX,100.SSMI,100.SET,100.TWII,100.FTSE,100.DJIA,100.NDX,100.SPX,100.VNINDEX&_=1635255405272
{"f2":15769.22,
"f3":1.09,
"f4":169.99,
"f6":1638793984.0,
"f12":"GDAXI",
"f13":100,
"f14":"德国DAX30",
"f104":0,
"f105":0,
"f106":0},
f12 code GDAXI
f14 名称 德国DAX30
f2 最新价 15777.39
f4 涨跌额 178.16
f3 涨跌幅 1.14%
f17 开盘价 15652.91
f15 最高价 15781.00
f16 最低价 15650.35
f18 昨收价 15599.23
f7 振幅 0.84%
&fltt=2 2 decimal point
http://45.push2.eastmoney.com/api/qt/ulist.np/get?fid=f3&fields=f12,f14,f2,f4,f3,f17,f15,f16,f18,f7&secids=100.GDAXI&fltt=2
东方财富网 example
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"sn","vname":"锡","vtype":"14"},
http://futsse-static.eastmoney.com/redis?msgid=113_14_info
{"bjdw":"元(人民币)/吨","hyjgyf":"1-12月","idx":45637,"jgfs":"实物交割","jgpj":"标准品:锡锭,符合国标GB/T728-2010Sn99.90A牌号规定,其中锡含量不小于99.90%。替代品:锡锭,符合国标GB/T728-2010Sn99.90AA牌号规定,其中锡含量不小于99.90%;Sn99.95A、Sn99.95AA牌号规定,其中锡含量不小于99.95%;Sn99.99A牌号规定,其中锡含量不小于99.99%。","jydw":"1吨/手","jysj":"上午9:00-11:30,下午13:30-15:00,下午21:00-次日1:00(夜盘)","market":"上海期货交易所","vcode":"SN","vname":"锡","zcjybzj":"合约价值的5%","zdtbfd":"上一交易日结算价±4%","zhjgr":"最后交易日后连续三个工作日","zhjyr":"合约月份的15日(遇国家法定节假日顺延,春节月份等最后交易日交易所可另行调整并通知)","zxbddw":"10元/吨"}
东方财富网 stock quote daily example
Quote
http://69.push2his.eastmoney.com/api/qt/stock/kline/get?secid=0.002594&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&end=20500101&lmt=10
&lmt=10 : 10 datasets
&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61: get the 11 fields
{"rc":0,"rt":17,"svr":181734976,"lt":2,"full":0,"data":
{"code":"002594",
"market":0,"name":"比亚迪",
"decimal":2,"dktotal":2445,"preKPrice":241.23,"klines":
["2021-07-22,246.30,248.96,249.44,240.17,374773,9242619136.00,3.84,3.20,7.73,3.27",
"2021-07-23,247.44,258.68,262.00,245.08,460562,11846110464.00,6.80,3.90,9.72,4.02",
"2021-07-26,250.58,248.55,259.74,241.01,404428,10130660096.00,7.24,-3.92,-10.13,3.53",
"2021-07-27,246.00,238.71,257.88,237.20,377707,9406136832.00,8.32,-3.96,-9.84,3.30",
"2021-07-28,229.99,236.50,241.10,223.99,332199,7758094336.00,7.17,-0.93,-2.21,2.90",
"2021-07-29,246.94,257.20,257.30,242.82,428851,10764228864.00,6.12,8.75,20.70,3.74",
"2021-07-30,257.19,264.71,268.30,252.13,457994,11995907840.00,6.29,2.92,7.51,4.00",
"2021-08-02,276.00,291.18,291.18,273.30,622259,17648921344.00,6.75,10.00,26.47,5.43",
"2021-08-03,299.00,280.08,299.00,275.01,489349,13975748864.00,8.24,-3.81,-11.10,4.27",
"2021-08-04,283.01,308.09,308.09,282.00,534306,16003137024.00,9.32,10.00,28.01,4.66"]}}
Quote
http://69.push2his.eastmoney.com/api/qt/stock/kline/get?secid=0.002594&fields1=f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&end=20500101&lmt=5
{"rc":0,"rt":17,"svr":182481222,"lt":2,"full":0,"data":{"preKPrice":236.5,
"klines":
["2021-07-29,246.94,257.20,257.30,242.82,428851,10764228864.00,6.12,8.75,20.70,3.74",
"2021-07-30,257.19,264.71,268.30,252.13,457994,11995907840.00,6.29,2.92,7.51,4.00",
"2021-08-02,276.00,291.18,291.18,273.30,622259,17648921344.00,6.75,10.00,26.47,5.43",
"2021-08-03,299.00,280.08,299.00,275.01,489349,13975748864.00,8.24,-3.81,-11.10,4.27",
"2021-08-04,283.01,308.09,308.09,282.00,534306,16003137024.00,9.32,10.00,28.01,4.66"]}}
# note that hkstock market id is 116
http://push2.eastmoney.com/api/qt/stock/get?secid=116.00371&fields=f18,f59,f51,f52,f57,f58,f106,f105,f62,f108,f177,f43,f46,f60,f44,f45,f47,f48,f49,f113,f114,f115,f85,f84,f169,f170,f161,f163,f164,f171,f126,f168,f162,f116,f55,f92,f71,f50,f167,f117,f86,f172,f174,f175&fltt=2&invt=2
{"rc":0,
"rt":4,
"svr":182994385,
"lt":2,
"full":1,
"data":{"f43":2.9,
"f44":2.94,
"f45":2.87,
"f46":2.94,
"f47":5669886,
"f48":16369967.0,
"f49":2492700,
"f50":0.71,
"f51":3.402,
"f52":2.74,
"f55":0.417353471,
"f57":"00371",
"f58":"北控水务集团",
"f59":3,
"f60":2.92,
"f62":4,
"f71":2.887,
"f84":10023795871.0,
"f85":10023795871.0,
"f86":1628064529,
"f92":3.725516,
"f105":0.0,
"f106":1,
"f108":0.417353471,
"f113":"-",
"f114":"-",
"f115":"-",
"f116":29069008025.899999,
"f117":29069008025.899999,
"f126":5.59,
"f161":3177186,
"f162":"-",
"f163":6.95,
"f164":6.95,
"f167":0.78,
"f168":0.06,
"f169":-0.02,
"f170":-0.68,
"f171":2.4,
"f172":"HKD",
"f174":3.402,
"f175":2.74,
"f177":384}}
# this date range is strange: &smplmt=10
Quote
http://36.push2his.eastmoney.com/api/qt/stock/kline/get?secid=116.00700&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&beg=0&end=20500101&smplmt=10&lmt=1000000
# this is normal but give long list: &beg=0
Quote
http://36.push2his.eastmoney.com/api/qt/stock/kline/get?secid=116.00700&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&beg=0&end=20500101&lmt=5
# this is normal: without &beg=0
Quote
http://36.push2his.eastmoney.com/api/qt/stock/kline/get?secid=116.00700&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&end=20500101&lmt=5
# this date range is normal
Quote
http://69.push2his.eastmoney.com/api/qt/stock/kline/get?secid=116.00700&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&end=20500101&lmt=10
# this date range is also normal
Quote
http://36.push2his.eastmoney.com/api/qt/stock/kline/get?secid=116.00700&fields1=f1,f2,f3,f4,f5,f6&fields2=f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61&klt=101&fqt=0&end=20500101&lmt=10
{"rc":0,
"rt":17,
"svr":181734975,
"lt":2,
"full":0,
"data":{"code":"00700",
"market":116,
"name":"腾讯控股",
"decimal":3,
"dktotal":4227,
"preKPrice":3.7,
"klines":["2004-06-16,4.375,4.150,4.625,4.075,439775008,1947628032.000,14.86,12.16,0.450,26.17",
"2006-05-12,15.800,15.450,16.050,15.350,4468100,70184000.000,4.35,-4.04,-0.650,0.25",
"2008-04-07,49.000,48.600,49.900,48.200,3501500,171870000.000,3.54,1.25,0.600,0.20",
"2010-03-01,154.000,155.000,155.000,153.200,3680536,566828096.000,1.18,1.84,2.800,0.20",
"2012-01-20,179.500,181.700,182.300,177.000,4286556,772453184.000,2.95,1.23,2.200,0.23",
"2013-12-18,463.200,467.200,470.000,460.000,2962229,1378932352.000,2.15,0.30,1.400,0.16",
"2015-11-16,148.800,149.100,150.300,148.600,14105791,2109684608.000,1.12,-2.04,-3.100,0.15",
"2017-10-13,347.200,349.200,350.200,346.400,20928347,7288594688.000,1.09,-0.29,-1.000,0.22",
"2019-09-11,341.000,346.000,347.800,339.400,15794903,5437022720.000,2.47,1.70,5.800,0.17",
"2021-08-04,435.000,456.800,469.800,434.000,46103478,21007883264.000,8.03,2.42,10.800,0.48"]}}
# 慢！日期不对
http://datainterface.eastmoney.com/EM_DataCenter/JS.aspx?type=HKPD&sty=HKSYPD&stat=1&code=00371&fd=&edt=&ssdt=&sc=&cmd=&p=1&ps=5
(["00371,北控水务集团,2018-04-17,200000,4.32,0,864000,4.32",
"00371,北控水务集团,2018-04-16,200000,4.49,0,898000,4.49",
"00371,北控水务集团,2018-04-12,300000,4.5,0,1350000,4.5",
"00371,北控水务集团,2018-04-10,200000,4.39,0,878000,4.39",
"00371,北控水务集团,2018-04-06,2000000,4.25,4.23,8475820,4.23791"])
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"ag","vname":"白银","vtype":"6"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"al","vname":"铝","vtype":"2"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"au","vname":"沪金","vtype":"5"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"bu","vname":"石油沥青","vtype":"11"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"cu","vname":"沪铜","vtype":"1"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"fu","vname":"燃料油","vtype":"9"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"hc","vname":"热轧卷板","vtype":"12"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"ni","vname":"镍","vtype":"13"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"pb","vname":"铅","vtype":"4"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"rb","vname":"螺纹钢","vtype":"7"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"ru","vname":"天然橡胶","vtype":"10"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"sn","vname":"锡","vtype":"14"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"sp","vname":"纸浆","vtype":"15"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"ss","vname":"不锈钢","vtype":"16"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"wr","vname":"线材","vtype":"8"},
{"mktid":"113","mktname":"上海期货交易所","mktshort":"SHFE","vcode":"zn","vname":"锌","vtype":"3"}])
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"a","vname":"豆一","vtype":"2"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"b","vname":"豆二","vtype":"3"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"bb","vname":"胶合板","vtype":"12"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"c","vname":"玉米","vtype":"1"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"cs","vname":"玉米淀粉","vtype":"16"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"eb","vname":"苯乙烯","vtype":"19"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"eg","vname":"乙二醇","vtype":"17"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"fb","vname":"纤维板","vtype":"11"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"i","vname":"铁矿石","vtype":"13"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"j","vname":"焦炭","vtype":"9"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"jd","vname":"鸡蛋","vtype":"14"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"jm","vname":"焦煤","vtype":"10"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"l","vname":"聚乙烯","vtype":"7"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"lh","vname":"生猪","vtype":"21"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"m","vname":"豆粕","vtype":"4"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"p","vname":"棕榈油","vtype":"6"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"pg","vname":"LPG","vtype":"20"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"pp","vname":"聚丙烯","vtype":"15"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"rr","vname":"梗米","vtype":"18"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"v","vname":"聚氯乙烯","vtype":"8"},
{"mktid":"114","mktname":"大连商品交易所","mktshort":"DCE","vcode":"y","vname":"豆油","vtype":"5"}])
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"AP","vname":"苹果","vtype":"19"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"CF","vname":"一号棉花","vtype":"3"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"CJ","vname":"红枣","vtype":"20"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"CY","vname":"棉纱","vtype":"18"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"FG","vname":"玻璃","vtype":"9"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"JR","vname":"粳稻","vtype":"13"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"LR","vname":"晚籼稻","vtype":"14"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"MA","vname":"甲醇","vtype":"8"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"OI","vname":"菜籽油","vtype":"6"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"PF","vname":"涤纶短纤","vtype":"23"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"PK","vname":"花生","vtype":"24"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"PM","vname":"普麦","vtype":"2"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"RI","vname":"早籼稻","vtype":"7"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"RM","vname":"菜粕","vtype":"11"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"RS","vname":"油菜籽","vtype":"10"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"SA","vname":"纯碱","vtype":"22"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"SF","vname":"硅铁","vtype":"15"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"SM","vname":"锰硅","vtype":"16"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"SR","vname":"白糖","vtype":"4"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"TA","vname":"PTA","vtype":"5"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"UR","vname":"尿素","vtype":"21"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"WH","vname":"强麦","vtype":"1"},
{"mktid":"115","mktname":"郑州商品交易所","mktshort":"CZCE","vcode":"ZC","vname":"动力煤","vtype":"17"}])
{"mktid":"142","mktname":"上海国际能源交易中心","mktshort":"INE","vcode":"bc","vname":"国际铜","vtype":"4"},
{"mktid":"142","mktname":"上海国际能源交易中心","mktshort":"INE","vcode":"lu","vname":"低硫燃油","vtype":"3"},
{"mktid":"142","mktname":"上海国际能源交易中心","mktshort":"INE","vcode":"nr","vname":"20号胶","vtype":"2"},
{"mktid":"142","mktname":"上海国际能源交易中心","mktshort":"INE","vcode":"sc","vname":"原油","vtype":"1"}])
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"IC","vname":"中证500指数","vtype":"1"},
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"IF","vname":"沪深300指数","vtype":"2"},
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"IH","vname":"上证50指数","vtype":"3"},
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"T","vname":"10年期国债","vtype":"4"},
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"TF","vname":"5年期国债","vtype":"5"},
{"mktid":"8","mktname":"中金所","mktshort":"CFFEX","vcode":"TS","vname":"2年期国债","vtype":"6"}])
sina minute data
https://quotes.sina.cn/hk/api/openapi.php/HK_MinlineService.getMinline?symbol=00005&day=5
day=5 means 5 days minute data
{"result":
{"status":
{"code":0},"data":[[
{"date":"2021-08-02","prevclose":"43.05000","m":"09:30:00","price":"43.05000","volume":"299462","avg_p":"43.031"},
{"m":"09:31:00","price":"43.30000","volume":"49600","avg_p":"43.06"},
{"m":"09:32:00","price":"43.40000","volume":"174010","avg_p":"43.173"},
...
{"m":"15:57:00","price":"43.55000","volume":"65600","avg_p":"44.168"},
{"m":"15:58:00","price":"43.55000","volume":"87600","avg_p":"44.166"},
{"m":"15:59:00","price":"43.45000","volume":"168800","avg_p":"44.163"},
{"m":"16:00:00","price":"43.45000","volume":"0","avg_p":"44.163"}],[
{"date":"2021-08-03","prevclose":"43.45000","m":"09:30:00","price":"42.60000","volume":"408400","avg_p":"42.625"},
{"m":"09:31:00","price":"42.70000","volume":"512964","avg_p":"42.622"},
{"m":"09:32:00","price":"42.75000","volume":"88000","avg_p":"42.63"},
{"m":"09:33:00","price":"42.70000","volume":"124800","avg_p":"42.641"},
...
{"m":"15:59:00","price":"42.95000","volume":"42800","avg_p":"42.725"},
{"m":"16:00:00","price":"42.95000","volume":"0","avg_p":"42.725"}],[
{"date":"2021-08-04","prevclose":"42.90000","m":"09:30:00","price":"43.25000","volume":"222180","avg_p":"43.097"},
{"m":"09:31:00","price":"43.45000","volume":"182800","avg_p":"43.22"},
{"m":"09:32:00","price":"43.35000","volume":"35642","avg_p":"43.233"},
...
{"m":"15:58:00","price":"43.20000","volume":"206800","avg_p":"43.335"},
{"m":"15:59:00","price":"43.30000","volume":"62800","avg_p":"43.335"},
{"m":"16:00:00","price":"43.30000","volume":"0","avg_p":"43.335"}],[
{"date":"2021-08-05","prevclose":"43.15000","m":"09:30:00","price":"42.85000","volume":"196138","avg_p":"42.913"},
{"m":"09:31:00","price":"42.85000","volume":"206484","avg_p":"42.821"},
{"m":"09:32:00","price":"42.85000","volume":"22800","avg_p":"42.823"},
...
{"m":"15:58:00","price":"43.40000","volume":"85671","avg_p":"43.178"},
{"m":"15:59:00","price":"43.45000","volume":"58400","avg_p":"43.18"},
{"m":"16:00:00","price":"43.45000","volume":"0","avg_p":"43.18"}],[
{"date":"2021-08-06","prevclose":"43.30000","m":"09:30:00","price":"43.20000","volume":"57200","avg_p":"43.181"},
{"m":"09:31:00","price":"43.20000","volume":"6800","avg_p":"43.181"},
{"m":"09:32:00","price":"43.00000","volume":"240800","avg_p":"43.086"},
...
{"m":"15:57:00","price":"43.30000","volume":"4400","avg_p":"43.209"},
{"m":"15:58:00","price":"43.25000","volume":"88400","avg_p":"43.21"},
{"m":"15:59:00","price":"43.30000","volume":"157406","avg_p":"43.211"}]]}}
https://stock.finance.sina.com.cn/hkstock/api/openapi.php/HK_StockService.getHKMinline?symbol=00005
{"result":
{"status":
{"code":0},"data":[
{"m":"09:30:00","v":"57200","a":"2469940","p":"43.2","avg_p":"43.181"},
{"m":"09:31:00","v":"6800","a":"293640","p":"43.2","avg_p":"43.181"},
...
{"m":"15:58:00","v":"88400","a":"3827520","p":"43.25","avg_p":"43.21"},
{"m":"15:59:00","v":"157406","a":"6811314","p":"43.3","avg_p":"43.211"},
{"m":"16:08:00","v":"361600","a":"15621120","p":"43.2","avg_p":"43.21"}]}}
http://vip.stock.finance.sina.com.cn/quotes_service/api/jsonp.php/var%20hk_corrastock=/HK_CorrStock.getCorrstock
var hk_corrastock=(
{"hk00042":
{"a":"sz000585","us":""},"hk00168":
{"a":"sh600600","us":""},"hk00177":
{"a":"sh600377","us":""},"hk00187":
{"a":"sh600860","us":""},"hk00317":
{"a":"sh600685","us":""},"hk00323":
{"a":"sh600808","us":""},"hk00338":
{"a":"sh600688","us":""},"hk00347":
{"a":"sz000898","us":""},"hk00358":
{"a":"sh600362","us":""},"hk00386":
{"a":"sh600028","us":""},"hk00525":
{"a":"sh601333","us":""},"hk00548":
{"a":"sh600548","us":""},"hk00553":
{"a":"sh600775","us":""},"hk00588":
{"a":"sh601588","us":""},"hk00670":
{"a":"sh600115","us":""},"hk00719":
{"a":"sz000756","us":""},"hk00753":
{"a":"sh601111","us":""},"hk00763":
{"a":"sz000063","us":""},"hk00874":
{"a":"sh600332","us":""},"hk00902":
{"a":"sh600011","us":""},"hk00914":
{"a":"sh600585","us":""},"hk00921":
{"a":"sz000921","us":""},"hk00991":
{"a":"sh601991","us":""},"hk00995":
{"a":"sh600012","us":""},"hk00998":
{"a":"sh601998","us":""},"hk01033":
{"a":"sh600871","us":""},"hk01053":
{"a":"sh601005","us":""},"hk01055":
{"a":"sh600029","us":""},"hk01065":
{"a":"sh600874","us":""},"hk01071":
{"a":"sh600027","us":""},"hk01072":
{"a":"sh600875","us":""},"hk01108":
{"a":"sh600876","us":""},"hk01138":
{"a":"sh600026","us":""},"hk01171":
{"a":"sh600188","us":""},"hk01398":
{"a":"sh601398","us":""},"hk02318":
{"a":"sh601318","us":""},"hk02338":
{"a":"sz000338","us":""},"hk02600":
{"a":"sh601600","us":""},"hk02628":
{"a":"sh601628","us":""},"hk03328":
{"a":"sh601328","us":""},"hk03988":
{"a":"sh601988","us":""},"hk03968":
{"a":"sh600036","us":""},"hk00939":
{"a":"sh601939","us":""},"hk01088":
{"a":"sh601088","us":""},"hk01919":
{"a":"sh601919","us":""},"hk02883":
{"a":"sh601808","us":""},"hk00857":
{"a":"sh601857","us":""},"hk00390":
{"a":"sh601390","us":""},"hk01898":
{"a":"sh601898","us":""},"hk01186":
{"a":"sh601186","us":""},"hk02899":
{"a":"sh601899","us":""},"hk01812":
{"a":"sz000488","us":""},"hk01766":
{"a":"sh601766","us":""},"hk02866":
{"a":"sh601866","us":""},"hk02727":
{"a":"sh601727","us":""},"hk01988":
{"a":"sh600016","us":""},"hk02601":
{"a":"sh601601","us":""},"hk01618":
{"a":"sh601618","us":""},"hk00107":
{"a":"sh601107","us":""},"hk01288":
{"a":"sh601288","us":""},"hk00568":
{"a":"sz002490","us":""},"hk02880":
{"a":"sh601880","us":""},"hk02208":
{"a":"sz002202","us":""},"hk01157":
{"a":"sz000157","us":""},"hk02009":
{"a":"sh601992","us":""},"hk02607":
{"a":"sh601607","us":""},"hk01211":
{"a":"sz002594","us":""},"hk02333":
{"a":"sh601633","us":""},"hk06030":
{"a":"sh600030","us":""},"hk01336":
{"a":"sh601336","us":""},"hk01800":
{"a":"sh601800","us":""},"hk02238":
{"a":"sh601238","us":""},"hk06837":
{"a":"sh600837","us":""},"hk00895":
{"a":"sz002672","us":""},"hk00038":
{"a":"sh601038","us":""},"hk03993":
{"a":"sh603993","us":""},"hk01057":
{"a":"sz002703","us":""},"hk00564":
{"a":"sh601717","us":""},"hk02039":
{"a":"sz000039","us":""},"hk02196":
{"a":"sh600196","us":""},"hk06818":
{"a":"sh601818","us":""},"hk01513":
{"a":"sz000513","us":""},"hk02202":
{"a":"sz000002","us":""},"hk01776":
{"a":"sz000776","us":""},"hk03606":
{"a":"sh600660","us":""},"hk06886":
{"a":"sh601688","us":""},"hk03958":
{"a":"sh600958","us":""},"hk00811":
{"a":"sh601811","us":""},"hk06178":
{"a":"sh601788","us":""},"hk01635":
{"a":"sh600635","us":""},"hk01375":
{"a":"sh601375","us":""},"hk06881":
{"a":"sh601881","us":""},"hk03369":
{"a":"sh601326","us":""},"hk06099":
{"a":"sh600999","us":""},"hk06116":
{"a":"sh603157","us":""},"hk01533":
{"a":"sz002910","us":""},"hk02611":
{"a":"sh601211","us":""},"hk01528":
{"a":"sh601828","us":""},"hk01330":
{"a":"sh601330","us":""},"hk06066":
{"a":"sh601066","us":""},"hk06869":
{"a":"sh601869","us":""},"hk02068":
{"a":"sh601068","us":""},"hk06196":
{"a":"sz002936","us":""},"hk01787":
{"a":"sh600547","us":""},"hk01772":
{"a":"sz002460","us":""},"hk01339":
{"a":"sh601319","us":""},"hk02359":
{"a":"sh603259","us":""}});
http://hq.sinajs.cn/?_=1628290627561&list=rt_hk00951,hk00951_i,rt_hk00008,rt_hk00762,rt_hk02318,rt_hk03328,rt_hk01398,rt_hk00005,rt_hk02628,rt_hk00001,rt_hk03988,rt_hk00941,rt_hk01088,rt_hk00700,rt_hk00939,rt_hk00857,rt_hk01288,rt_hk02600,rt_hk02899,rt_hk00728
rt_hk00951="CHAOWEI POWER,超威动力
hk00951_i="EQTY
rt_hk00008="PCCW,电讯盈科
rt_hk00762="CHINA UNICOM,中国联通
rt_hk02318="PING AN,中国平安
rt_hk03328="BANKCOMM,交通银行
rt_hk01398="ICBC,工商银行
rt_hk00005="HSBC HOLDINGS,汇丰控股
rt_hk02628="CHINA LIFE,中国人寿
rt_hk00001="CKH HOLDINGS,长和
rt_hk03988="BANK OF CHINA,中国银行
rt_hk00941="CHINA MOBILE,中国移动
rt_hk01088="CHINA SHENHUA,中国神华
rt_hk00700="TENCENT,腾讯控股
rt_hk00939="CCB,建设银行
rt_hk00857="PETROCHINA,中国石油股份
rt_hk01288="ABC,农业银行
rt_hk02600="CHALCO,中国铝业
rt_hk02899="ZIJIN MINING,紫金矿业
rt_hk00728="CHINA TELECOM,中国电信
http://hq.sinajs.cn/&list=rt_hk00700
var hq_str_rt_hk00700="TENCENT,腾讯控股,444.800,439.000,460.400,440.000,453.600,14.600,3.326,453.600,453.800,19468783995.240,42946505,22.681,0.000,763.287,422.000,2021/08/06,16:08:04,100|0,N|Y|Y,455.600|433.000|478.200,0|||0.000|0.000|0.000, |0,Y";
https://hq.sinajs.cn/&list=gb_$dji,gb_ixic,gb_$inx,hf_GC,hf_CL,DINIW,s_sh000001,rt_hkHSI,b_NKY
$dji=道琼斯
ixic=纳斯达克
$inx=标普500指数
GC=纽约黄金
CL=WTI纽约原油
DINIW=美元指数
s_sh000001=上证指数
rt_hkHSI=HSI
b_NKY=日经225指数
https://hq.sinajs.cn/&list=rt_hkHSI
var hq_str_rt_hkHSI="HSI,恒生指数,26262.970,26204.689,26276.870,26002.410,26179.400,-25.290,-0.100,0.000,0.000,148040565.944,0,0.000,0.000,31183.359,23124.250,2021/08/06,16:09:00,,,,,,";
https://hq.sinajs.cn/&list=gb_xnet,gb_xnet_i
var hq_str_gb_xnet="迅雷,3.8700,4.59,2021-08-07 06:15:04,0.1700,3.7100,3.9700,3.6450,11.2200,2.5500,478472,364608,259020632,-0.02,--,0.00,0.00,0.00,0.00,66930396,25,3.9100,1.03,0.04,Aug 06 04:34PM EDT,Aug 06 04:00PM EDT,3.7000,328,1,2021,1842232.0000,3.9100,3.8600,1276.0800,3.8600";
var hq_str_gb_xnet_i="O,网络媒体,12.0000,0,1,66930396,迅雷,1,701.3123,0.00";
https://hq.sinajs.cn/&list=gb_xnet
var hq_str_gb_xnet="迅雷,3.8700,4.59,2021-08-07 06:15:04,0.1700,3.7100,3.9700,3.6450,11.2200,2.5500,478472,364608,259020632,-0.02,--,0.00,0.00,0.00,0.00,66930396,25,3.9100,1.03,0.04,Aug 06 04:34PM EDT,Aug 06 04:00PM EDT,3.7000,328,1,2021,1842232.0000,3.9100,3.8600,1276.0800,3.8600";
https://hq.sinajs.cn/?_=1628289272416/&list=hf_CAD,nf_I0,nf_TA2201,nf_AG2112,nf_RB2110,nf_FU2109,nf_MA2109,nf_RM2109,nf_NI2109,nf_P2109,nf_M2109,nf_Y2109,nf_BU2109,nf_I2201,nf_PP2109
CAD=伦铜
I0=铁矿石连续
TA2201=PTA2201
AG2112=白银2112
RB2110=螺纹钢2110
FU2109=燃料油2109
MA2109=甲醇2109
RM2109=菜粕2109
NI2109=镍2109
P2109=棕榈油2109
M2109=豆粕2109
Y2109=豆油2109
BU2109=沥青2109
I2201=铁矿石2201
PP2109=聚丙烯2109
https://hq.sinajs.cn/&list=nf_PP2109
var hq_str_nf_PP2109="聚丙烯2109,225959,8400.000,8410.000,8353.000,0.000,8362.000,8365.000,8364.000,0.000,8326.000,6,3,246985.000,215346,连,聚丙烯,2021-08-06,1,,,,,,,,,8376.993";
us stock code
AAPL.OQ 苹果
AAXJ.OQ 亚洲ETF-iShares MSCI
ABT.N 雅培
ADSK.OQ 欧特克
AGQ.AM 白银现货ETF两倍做多
ALL.N 好事达
AMBA.OQ 安霸
AMGN.OQ 安进
AMRC.N 阿梅雷斯克公司
APH.N 安诺电子
ASHR.AM 沪深300ETF-德银嘉实
ASHS.AM 中证500ETF-德银嘉实
ATI.N 阿利根尼
ATSG.OQ 美国航空运输服务集团
ATVI.OQ 动视暴雪
BAX.N 百特国际
BCACU.OQ 野牛资本收购公司-Units
BIDU.OQ 百度
BK.N 纽约梅隆银行
BYSI.OQ 万春医药
C.N 花旗集团
CAF.N 摩根士丹利中国A股指数基金
CAJ.N 佳能
CANG.N 灿谷
CAT.N 卡特彼勒
CHAD.AM 沪深300指数做空ETF
CHAU.AM 沪深300指数两倍做多
CMCSA.OQ 康卡斯特
CNXT.AM 离岸创业板100指数ETF
CNYA.AM 安硕中国A股ETF
COF.N 第一资本信贷
COP.N 康菲石油
COST.OQ 好市多
CPHI.AM 惠普森医药
CREE.OQ 克里科技
CRM.N 赛富时
CSIQ.OQ 阿特斯太阳能
CYB.AM 人民币ETF
DAL.N 达美航空
DB.N 德意志银行
DBA.AM 多元化农业指数ETF
DBC.AM 商品指数ETF（德银）
DDM.AM 道指两倍做多ETF
DELL.N 戴尔科技
DGP.AM 黄金两倍做多ETN
DIG.AM 美国油气指数两倍做多
DOG.AM 道琼斯30指数做空
DRN.AM 房地产指数ETF-Direxion三倍做多
DRV.AM 房地产指数三倍做空
DUG.AM 石油和天然气两倍做空
DUK.N 杜克能源
DUST.AM 黄金矿业指数三倍做空
DXCM.OQ 德康医疗
DXD.AM 道指ETF-ProShares两倍做空
DXJ.AM 日本股利指数ETF
DZZ.AM 黄金两倍做空ETN（德银）
EA.OQ 电子艺界
EBAY.OQ eBay
EDC.AM 新兴市场每日三倍做多
EEM.AM 新兴市场指数ETF-MSCI
EFA.AM 欧澳远东指数ETF-MSCI
ENV.N Envestnet Inc
EQIX.OQ 易昆尼克斯
ERX.AM 二倍做多能源ETF-Direxion
ERY.AM 2倍做空能源ETF-Direxion
ETR.N 安特吉
EUO.AM 欧元ETF两倍做空
EWA.AM 澳大利亚指数ETF-MSCI
EWC.AM 加拿大指数ETF-MSCI
EWD.AM 瑞典指数-MSCI
EWG.AM 德国指数-iShares
EWH.AM 香港ETF-MSCI
EWI.AM 意大利ETF-iShares MSCI
EWJ.AM 日本指数ETF-MSCI
EWK.AM 比利时ETF-iShares MSCI
EWM.AM 马来西亚ETF-MSCI
EWN.AM 荷兰ETF-iShares MSCI
EWO.AM 奥地利ETF-iShares MSCI
EWP.AM 西班牙ETF-iShares MSCI
EWQ.AM 法国ETF-iShares MSCI
EWT.AM 台湾ETF-iShares
EWU.AM 英国ETF-iShares MSCI
EWY.AM 韩国ETF-iShares MSCI
EWZ.AM 巴西ETF-iShares MSCI
EZU.AM 欧盟国家ETF-MSCI
FAMI.OQ 农米良品
FANH.OQ 泛华金控
FAS.AM 罗素金融股三倍做多
FAZ.AM 三倍做空金融ETF-Direxion
FB.OQ Facebook Inc
FDX.N 联邦快递
FEDU.N 四季教育
FEYE.OQ Fireeye Inc
FRI.AM 美国REIT指数
FTNT.OQ 飞塔信息
FXA.AM 澳大利亚元ETF
FXC.AM 加拿大元ETF
FXE.AM 欧元ETF
FXF.AM 瑞士法郎ETF
FXP.AM 富时中国50ETF两倍做空
FXY.AM 日元ETF
GAME.OQ Engine Media Holdings Inc
GD.N 通用动力
GDOT.N Green Dot Corp
GDS.OQ 万国数据
GDX.AM VanEck Vectors金矿开采商ETF
GDXJ.AM 小型黄金矿业ETF
GHG.N 格林酒店
GLD.AM 黄金现货-SPDR
GLL.AM 黄金现货两倍做空
GLW.N 康宁
GOGO.OQ Gogo Inc
GRPN.OQ Groupon Inc
H.N 凯悦酒店
HUYA.N 虎牙
IBB.OQ 纳斯达克生物技术指数
ICF.AM 不动产指数ETF-iShares
IFMK.OQ 中国城超市
ILMN.OQ Illumina Inc
INTC.OQ 英特尔
INTU.OQ 财捷
IRBT.OQ Irobot Corp
ITB.AM 房屋建筑指数ETF-iShares Dow Jones
IVV.AM 标普500指数ETF-iShares
IWO.AM 罗素2000成长股指数ETF
IYF.AM 金融指数ETF-iShares Dow Jones
IYM.AM 美国基础材料ETF
IYR.AM 美国房地产指数ETF
IYT.AM 道琼斯交通平均指数
IYZ.AM 安硕美国电信ETF
JNJ.N 强生
JOBS.OQ 前程无忧
JT.N 简普科技
KBE.AM 银行指数ETF-SPDR
KIE.AM 标普保险行业指数
KWEB.AM 中国海外互联网ETF
KWT.AM 全球太阳能指数ETF
LMT.N 洛克希德马丁
LRCX.OQ 拉姆研究
LYL.OQ 龙运国际
MAT.OQ 美泰
MET.N 大都会人寿
MON.OQ Monument Circle Acquisition Corp. Class A
MOO.AM 农业指数ETF-Market Vectors
MS.N 摩根士丹利
MSFT.OQ 微软
NFLX.OQ 奈飞
NKE.N 耐克
NLR.AM 核能指数ETF-Market Vectors
NTAP.OQ 美国网存
NTES.OQ 网易
NUGT.AM Direxion每日金矿开采商看多2倍股票
NVDA.OQ 英伟达
NVFY.OQ 诺华家具有限公司
NVS.N 诺华制药
OIH.AM 美国上市石油服务ETF
OIL.AM 标普高盛原油指数ETN
ORCL.N 甲骨文
PANW.N Palo Alto Networks Inc
PEP.OQ 百事可乐
PETZ.OQ 青岛天地荟食品
PFE.N 辉瑞制药
PGF.AM 优先金融股指数ETF
PGJ.OQ 金龙中国组合ETF-PowerShares
PLUG.OQ 普拉格能源
PSQ.AM 纳斯达克100指数做空
QCOM.OQ 高通
QD.N 趣店
QID.AM 纳斯达克100两倍做空
QLD.AM 纳斯达克100两倍做多
QQQ.OQ 纳指100ETF
RENN.N 人人网
RF.N 地区金融
RJA.AM 罗杰斯农业指数ETN-ELEMENTS
RJI.AM 商品指数ETF-Elements
ROK.N 罗克韦尔
RSX.AM 俄罗斯ETF-MarketVectors
RUSL.AM 俄罗斯ETF三倍做多
RWM.AM 罗素2000做空-ProShares
RYB.N 红黄蓝教育
SAP.N SAP
SBUX.OQ 星巴克
SCO.AM Proshares两倍做空彭博原油ETF
SDOW.AM 道指ETF-Proshares三倍做空
SDS.AM 标普500指数两倍做空
SGOC.OQ 上为集团
SH.AM Direxion每日标普油气出口与生产2倍做多
SIMO.OQ 慧荣科技
SKF.AM 金融股指数两倍做空
SLV.AM 白银ETF-iShares
SMFG.N 三井住友金融
SMN.AM 基础材料指数两倍做空
SNP.N 中石化
SOGO.N 搜狗
SOL.N 昱辉阳光
SOXL.AM 半导体ETF三倍做多
SPI.OQ 阳光动力
SPLK.OQ Splunk Inc
SPWR.OQ Sunpower Corp
SPXU.AM 标普500指数三倍做空
SQQQ.OQ 纳斯达克100三倍做空
SRS.AM 地产指数两倍做空
SSO.AM 标普500指数两倍做多
SSYS.OQ Stratasys
SVXY.AM 做空VIX短期期货ETF
TAN.AM 全球太阳能指数ETF
TER.OQ 泰瑞达
TGT.N 塔吉特
TKAT.AM 大公文交所
TME.N 腾讯音乐
TNA.AM 罗素2000每日三倍做多
TQQQ.OQ 纳斯达克100三倍做多
TRIP.OQ 猫途鹰
TUR.OQ 土耳其投资市场指数
TWM.AM 罗素2000指数两倍做空
TWTR.N 推特
TXN.OQ 德州仪器
TYHT.OQ 尚高公司
TZA.AM Direxion每日小盘看空3倍股票
UCO.AM 原油指数ETF-ProShares DJ-UBS两倍做多
UDN.AM 做空美元指数
UDOW.AM 道指平均指数三倍做多
UGL.AM 黄金现货ETF两倍做多
UNG.AM 美国即月天然气ETF
UNH.N 联合健康
UPRO.AM 标普500指数三倍做多
URE.AM 房地产ETF两倍做多
USNA.N 优莎娜
USO.AM 美国原油ETF
UUP.AM 美元ETF-PowerShares
UVXY.AM VIX短期期货两倍做多
UWM.AM 罗素2000指数两倍做多
UYG.AM 金融股ETF两倍做多
UYM.AM 基础材料指数两倍做多
V.N 维萨卡
VEA.AM 新华富时发达市场ETF
VGK.AM 新华富时欧洲发展ETF
VIXY.AM 短期期货波动指数ETF
VMW.N 威睿
VNQ.AM 美国不动产信托指数ETF
VWO.AM 新华富时新兴市场ETF
VXX.AM 短期VIX指数期货ETN
VXZ.AM 恐慌中期做多ETN-iPath S
WBA.OQ 沃尔格林
WDAY.OQ 工时公司
WDC.OQ 西部数据
X.N 美国钢铁
XHB.AM 标普房产行业指数
XLB.AM 基础材料ETF-SPRD
XLE.AM 能源指数ETF
XLF.AM 金融行业ETF
XLI.AM 工业指数ETF
XLNX.OQ 赛灵思
XLP.AM 消费品指数ETF-SPDR
XLU.AM 公共事业指数ETF
XLV.AM 健康照护类股ETF
XLY.AM 消费品指数-SPDR
XME.AM 金属与采矿指数ETF
XPP.AM 富时中国50指数两倍做多
XRT.AM 标普零售行业指数ETF
Y.N Alleghany Corp
YANG.AM FTSE中国三倍做空ETF
YCS.AM 日元ETF两倍做空
YELP.N Yelp
YINN.AM FTSE中国三倍做多
YUMC.N 百胜中国
YXI.AM 中国50指数做空
ZKIN.OQ 正康国际
ZNGA.OQ Zynga
ZSL.AM 白银现货价格两倍做空
ZTO.N 中通快递
eastmoney qquote sample
http://push2.eastmoney.com/api/qt/stock/get?
&fields=f14,f20,f23,f43,f44,f45,f46,f47,f48,f49,f51,f52,f55,f57,f58,f60,f84,f85,f92,f108,f116,f117,f115,f126&secid=116.00981
f14 chiname
f20 总市值
f23 市净率
f43 现价
f44 最高价
f45 最低价
f46 开市价 note sometimes divide by 1000
f47 成交量
f48 成交额
f49 外盘
f51 52周最高
f52 52周最低
f55 每股收益
f57 codeNum
f58 chiName
f60 昨收
f84 总股本
f85 港股本
f92 每股净资产
f108 每股收益
f116 总市值
f117 港市值
f115 市盈率
f126 股息率%
http://push2.eastmoney.com/api/qt/ulist.np/get?fields=f1,f2,f3,f4,f6,f9,f14,f12,f13,f19,f104,f105,f106,f152&secids=116.00107
put f126 here gives 0
f6 amt
f9 shiying
f12 00107
f14 四川成渝高速公路"
http://push2.eastmoney.com/api/qt/ulist.np/get?fields=f9&secids=116.00107
gives 市盈率 * 100
http://push2.eastmoney.com/api/qt/stock/get?
&fields=f126&secid=116.00107
gives 股息率
市盈率
string = readLines("http://push2.eastmoney.com/api/qt/ulist.np/get?fields=f9&secids=116.00107")
string = gsub('^.*"f9":','',string)
string = gsub('}.*','',string)
stringPct = as.numeric(string)/100
股息率
string = readLines("http://push2.eastmoney.com/api/qt/stock/get?
&fields=f126&secid=116.00107")
string = gsub('^.*"f126":','',string)
string = gsub('}.*','',string)
string = as.numeric(string)
to load all hkec stock codes
download:
ListOfSecurities
install.packages("readxl")
library("readxl")
setwd("C:/Users/william/Desktop")
stkList <- read_excel("ListOfSecurities.xlsx")
stkList = stkList[-c(1:2),]
stkList = stkList[,c(1,3)]
index = which(stkList[,2] == "Equity")
stkList = as.vector(unlist(stkList[index,1]))
world index codes
can be wrong
https://qt.gtimg.cn/q=marketStat,usDJI,usIXIC,usINX,gzGSPTSE,gzMXX,gzIBOV,gzMERVAL,gzFTSE,gzINDEXCF,gzFCHI,gzSSMI,gzFTSEMIB,gzSMSI,gzOMX,gzHEX,gzOSEAX,gzISEQ,gzAEX,gzIBEX,gzICEXI,sh000001,sz399001,r_hkHSI,gzTWII&r=577802415
v_marketStat="2021-11-30 05:52:01|HK_close_未开盘|SH_close_未开盘|SZ_close_未开盘|US_close_已收盘|SQ_close_未开盘|DS_close_未开盘|ZS_close_未开盘|NEWSH_close_未开盘|NEWSZ_close_未开盘|NEWHK_close_未开盘|NEWUS_close_已收盘|REPO_close_未开盘|UK_close_已收盘|KCB_close_未开盘|IT_close_已收盘|MY_close_未开盘|EU_close_已收盘|AH_close_未开盘|DE_close_已收盘|JW_close_未开盘|CYB_close_未开盘|USA_open_盘后交易|USB_close_已收盘";
v_usDJI="real~道琼斯
v_usIXIC="real~纳斯达克
v_usINX="real~标普500
v_gzGSPTSE="GSPTSE~加拿大S&P/TSX综合指数
v_gzMXX="MXX~墨西哥BOLSA指数
v_gzIBOV="IBOV~巴西BOVESPA股票指数
v_gzMERVAL="MERVAL~阿根廷梅尔瓦指数
v_gzFTSE="FTSE~英国富时100指数
v_gzINDEXCF="INDEXCF~俄罗斯MICEX指数
v_gzFCHI="FCHI~法国CAC40指数
v_gzSSMI="SSMI~瑞士股票指数
v_gzFTSEMIB="FTSEMIB~富时意大利MIB指数
v_gzSMSI="SMSI~西班牙马德里综合指数
v_gzOMX="OMX~OMX斯德哥尔摩30指数
v_gzHEX="HEX~丹麦OMXPHI指数
v_gzOSEAX="OSEAX~挪威OSEAX指数
v_gzISEQ="ISEQ~爱尔兰总指数
v_gzAEX="AEX~荷兰AEX综合指数
v_gzIBEX="IBEX~西班牙IBEX 35指数
v_gzICEXI="ICEXI~冰岛15指数
v_sh000001="1~上证指数
v_sz399001="51~深证成指
v_r_hkHSI="100~恒生指数
v_gzTWII="TWII~台湾加权指数
stockq data script
html url:
http://cn.stockq.org/index/MS010.php
http://cn.stockq.org/index/VNINDEX.php
# this is workhorse
http://cn.stockq.org/index/js/MS010_dev.js
http://cn.stockq.org/index/js/VNINDEX_dev.js
http://cn.stockq.org/index/js/BDI_dev.js
http://cn.stockq.org/index/js/RTSI_intraday.js
or
http://www.stockq.org/index/js/RTSI_intraday.js
data:
['Time', 'Price', 'Average', '+10%', '-10%'],
['07/13', 726.326, 713.003, 784.30, 641.70],
.
.
['12/01', 724.650, 742.991, 817.29, 668.69]
# this not needed
http://cn.stockq.org/index/js/MS010_sma.js
['Time', 'Price', 'MA20', 'MA60'],
['08/31', 741.271, 732.23, 724.58],
.
.
['11/30', 726.532, 751.17, 737.30],
['12/01', 724.650, 749.76, 736.95]
http://www.stockq.org/index/RTSI.php
http://www.stockq.org/index/js/RTSI_intraday.js
['Time', 'Index'],
['09:31', 1665.70],
['09:50', 1667.98],
.
.
['15:26', 1679.90],
['17:26', 1689.27]
codes:
MERVAL 阿根廷
XU100 土耳其
RTSI 俄羅斯
DAX 德國股市
CAC 法國股市
OMX 瑞典股市
ITLMS 義大利
IBVC 委內瑞拉
SOX 費城半導體
ADSMI 阿布達比
DFMGI 杜拜股市
TOP40 南非股市
IPSA 智利股市
ICEXI 冰島股市
VNINDEX 越南股市
ATX 奧地利
PX 捷克股市
NZSE50FG 紐西蘭
AS30 澳洲股市
NKY 日經225
TPX 東證一部
TSE2 東證二部
JSDA JASDAQ
KOSPI 韓國股市
TWSE 台灣加權
TWOTCI 台灣店頭
SHCOMP 上海綜合
SHASHR 上海A股
SHBSHR 上海B股
SZASHR 深圳A股
SZBSHR 深圳B股
SHSZ300 滬深300
SICOM 深證成指
SZSME 中小板指
CHINEXT 創業板指
HSI 香港恆生
HSCEI 香港國企
HSCCI 香港紅籌
HSTECH 恆生科技
HKSPGEM 香港創業板
FSSTI 新加坡
PCOMP 菲律賓
KLCI 馬來西亞
SET 泰國股市
JCI 印尼股市
SENSEX 印度股市
UKX 英國股市
WIG 波蘭股市
BUX 匈牙利
SOFIX 保加利亞
BET 羅馬尼亞
ASE 希臘股市
MADX 西班牙
BVLX 葡萄牙
ISEQ 愛爾蘭
BEL20 比利時
LUXXX 盧森堡
AEX 荷蘭股市
SMI 瑞士股市
HEX 芬蘭股市
OBX 挪威股市
KFX 丹麥股市
TA35 以色列
EGX30 埃及股市
INDU 道瓊工業
CCMP NASDAQ
NDX NASDAQ 100
NYA NYSE綜合
SPX S&P 500
OEX S&P 100
RAY 羅素3000
RAG 羅素3000成長
RAV 羅素3000價值
RIY 羅素1000
RTY 羅素2000
HUI AMEX金蟲
XAU 費城金銀
DJGSP 道瓊貴金屬
GDM Arca黃金礦業
FTMIGMI FTSE金礦
SPGSGC S&P高盛黃金
SPGSGCP S&P高盛黃金ER
DJCISIP S&P道瓊白銀
BPGDM 金礦商看漲
SPTSX 加拿大
IBOV 巴西股市
MEXBOL 墨西哥
COLCAP 哥倫比亞
IGBVL 秘魯股市
JMSMX 牙買加
BDI 波羅的海乾散貨
BCI 波羅的海海岬型
BPI 波羅的海巴拿馬
BSI 波羅的海極限型
BHI 波羅的海輕便型
BCTI 波羅的海成品油
BDTI 波羅的海原油
VIX VIX波動率
VXD VXD道瓊波動
VXN VXN納指波動
SX5E 道瓊歐洲50
TRAN 道瓊交通運輸
XAL AMEX航空
UTIL 道瓊公用事業
XCI 電腦科技
DDX 電腦碟片
HWI 電腦硬體
USD 美元指數
XEU 歐元指數
XBP 英鎊指數
XJY 日圓指數
XAD 澳幣指數
XSF 瑞郎指數
TYX 30年債殖利率
TNX 10年期票利率
FVX 5年期票利率
IRX 3月期票利率
JGENVUUG JP新興當地債
SIN 邪惡指數
DJUSCA 道瓊美國博奕
WAGR snet全球博奕
NYK NYSE金融
BKX NASDAQ銀行
INSR NASDAQ保險
XBD NYSE券商
ELAU 澳洲不動產
ELJP 日本不動產
TSEREIT 東證REIT
HSP 恆生地產
ELUK 英國不動產
EXUK 歐陸不動產
UPRA 歐洲不動產
DJR 道瓊REITs
CRB CRB指數
CRBIX CRB工業金屬
WCATI CRB能源開採
CRBAX CRB農業
RICI Rogers商品
RICIM Rogers金屬
RICIE Rogers能源
RICIA Rogers農產
SPGSCIP 高盛商品
SPGSREP 高盛綜合商品
SPGSPMP 高盛貴金屬
SPGSINP 高盛基本金屬
SPGSENP 高盛能源
SPGSAGP 高盛農產品
SPGSLVP 高盛牲畜
IXE AMEX能源
NYE NYSE能源
XOI AMEX石油
OSX 費城油業
NBI NBI生技
BTK AMEX生技
W1BSC 道瓊世界原料
DJUSMG 道瓊美國礦產
DJUSWU 道瓊水指數
ECO WH乾淨能源
AGIGL 全球替代能源
XNG 天然氣
ET50 ET50環境科技
MS001 世界指數
MS101 中華指數
MS102 金龍指數
MS103 遠東指數
MS105 太平洋
MS108 AC亞太
MS201 歐洲
MS007 金磚四國
MS008 新興市場
MS109 新興亞洲
MS207 新興東歐
MS302 新興拉美
MS402 歐非中東
MS304 美國指數
MS110 澳洲指數
MS114 中國
MS122 印度
MS212 俄羅斯
MS305 巴西
MS115 台灣
MS113 韓國
MS118 菲律賓指數
MS119 泰國
MS120 馬來西亞
MS121 印尼
MS214 土耳其
MS009 邊境市場
MS414 南非
BIMLHY ICE高收益指數
BIMLCOHY ICE美國高收益
BIMLHYG ICE全球高收益
BIMLHYEU ICE歐洲高收益
BIMLHY100 ICE高收益100
BIBCUSGC 美國政府&公司債
BIBCBA BC綜合公債
BIMLCCC ICE CCC債券
BIMLCO ICE美國公司債
BIBCUSAI BC美國機構債
BIBCMGBK BC美國房貸債
BIMLFNMA ICE美國房利美
BIMLFHLMC ICE美國房地美
BIMLGNMA ICE美國吉利美
BIJPGG JP全球政府債
BIJPGEM JP新興政府債
BIJPGEU JP歐盟政府債
BIJPGUK JP英國政府債
BIJPGFR JP法國政府債
BIJPGDE JP德國政府債
tradingview codes
ae, name:"DFM", "DFM Dubai Financial Market"
argentina, name:"BYMA", "BYMA Argentine Stock Exchanges and Markets"
argentina, name:"ROFEX", "ROFEX MATBA ROFEX"
australia, name:"ASX", "ASX Australian Securities Exchange"
australia, name:"Chi-X", "Chi-X Australia"
bahrain, name:"BSE", "BSE Bahrain Stock Exchange"
belgium, name:"EURONEXTBRU", "Euronext Euronext Brussels"
brasil, name:"B3", "B3 Brasil Bolsa Balcao S.A."
canada, name:"CSE", "CSE Canadian Securities Exchange"
canada, name:"NEO", "NEO NEO Exchange"
canada, name:"TSX", "TSX Toronto Stock Exchange"
canada, name:"TSXV", "TSXV TSX Venture Exchange"
chile, name:"SSE", "SSE Santiago Stock Exchange"
china, name:"SSE", "SSE Shanghai Stock Exchange"
china, name:"SZSE", "SZSE Shenzhen Stock Exchange"
colombia, name:"BVC", "BVC Bolsa de Valores de Colombia"
denmark, name:"CSE", "CSE Nasdaq Copenhagen"
egypt, name:"EGX", "EGX Egyptian Exchange"
estonia, name:"TALSE", "TALSE Nasdaq Tallinn"
europe, name:"CBOE EU", "CBOE EU European Union Indices"
europe, name:"EUREX", "EUREX Eurex Exchange"
europe, name:"Euronext", "Euronext Euronext NV"
europe, name:"ICEEUR", "ICEEUR ICE Futures Europe"
europe, name:"OMX", "OMX Nasdaq OMX Group"
europe, name:"OMXBALTIC", "OMXBALTIC"
europe, name:"OMXNORDIC", "OMXNORDIC"
finland, name:"HEX", "HEX Nasdaq Helsinki"
forex, name:"BlackBull Markets", "BlackBull Markets"
forex, name:"Capital.com", "Capital.com"
forex, name:"easyMarkets", "easyMarkets"
forex, name:"Eightcap", "Eightcap"
forex, name:"FOREX.com", "FOREX.com"
forex, name:"FXCM", "FXCM"
forex, name:"FXOpen", "FXOpen"
forex, name:"GLOBALPRIME", "Global Prime"
forex, name:"iBroker", "iBroker"
forex, name:"ICE", "ICE Data Services"
forex, name:"OANDA", "OANDA"
forex, name:"Pepperstone", "Pepperstone"
forex, name:"Saxo", "Saxo"
forex, name:"SKILLING", "SKILLING"
france, name:"EURONEXTPAR", "Euronext Euronext Paris"
germany, name:"BER", "BER Berlin Stock Exchange"
germany, name:"DUS", "DUS Dusseldorf Stock Exchange"
germany, name:"FRA", "FRA Frankfurt Stock Exchange"
germany, name:"FWB", "FWB Frankfurt Stock Exchange"
germany, name:"HAM", "HAM Hamburg Stock Exchange"
germany, name:"HAN", "HAN Hanover Stock Exchange"
germany, name:"MUN", "MUN Munich Stock Exchange"
germany, name:"SWB", "SWB Stuttgart Stock Exchange"
germany, name:"XETR", "XETR Xetra"
greece, name:"ATHEX", "ATHEX Athens Stock Exchange"
hong_kong, name:"HKEX", "HKEX Hong Kong Exchange"
hong_kong, name:"HSI", "HSI Hang Seng Indices"
iceland, name:"ICEX", "ICEX Nasdaq Iceland"
india, name:"BSE", "BSE Bombay Stock Exchange"
india, name:"MCX", "MCX Multi Commodity Exchange"
india, name:"NSE", "NSE National Stock Exchange of India"
indonesia, name:"IDX", "IDX Indonesia Stock Exchange"
israel, name:"TASE", "TASE Tel Aviv Stock Exchange"
italy, name:"MIL", "MIL Milan Stock Exchange"
italy, name:"MILSEDEX", "MILSEDEX Milan Stock Exchange"
japan, name:"FSE", "FSE Fukuoka Stock Exchange"
japan, name:"NSE", "NSE Nagoya Stock Exchange"
japan, name:"OSE", "OSE Osaka Exchange"
japan, name:"SSE", "SSE Sapporo Securities Exchange"
japan, name:"TFX", "TFX Tokyo Financial Exchange"
japan, name:"TOCOM", "TOCOM Tokyo Commodity Exchange"
japan, name:"TSE", "TSE Tokyo Stock Exchange"
latvia, name:"OMXR", "OMXR Nasdaq Riga"
lithuania, name:"VSE", "VSE Nasdaq Vilnius"
luxembourg, name:"LUXSE", "LuxSE Luxembourg Stock Exchange"
malaysia, name:"FTSE", "FTSE FTSE Indices"
malaysia, name:"MYX", "MYX Bursa Malaysia Berhad"
mexico, name:"BMV", "BMV Mexican Stock Exchange"
netherlands, name:"EURONEXTAMS", "Euronext Euronext Amsterdam"
new_zealand, name:"NZX", "NZX New Zealand Stock Exchange"
nigeria, name:"NSE", "NSE Nigerian Stock Exchange"
norway, name:"EURONEXTOSE", "Euronext Euronext Oslo"
peru, name:"BVL", "BVL Bolsa de Valores de Lima"
philippines, name:"PSE", "PSE Philippine Stock Exchange"
poland, name:"GPW NewConnect", " GPW NewConnect"
poland, name:"GPW", "GPW Warsaw Stock Exchange"
portugal, name:"EURONEXTLIS", "Euronext Euronext Lisbon"
qatar, name:"QSE", "QSE Qatar Stock Exchange"
russia, name:"MOEX", "MOEX Moscow Exchange"
saudi_arabia, name:"Tadawul", "Tadawul Saudi Stock Exchange"
serbia, name:"BELEX", "BELEX Belgrade Stock Exchange"
singapore, name:"ICE Futures Singapore", "ICE Futures Singapore"
singapore, name:"SGX", "SGX Singapore Stock Exchange"
south_africa, name:"JSE", "JSE Johannesburg Stock Exchange"
south_korea, name:"KRX", "KRX Korea Stock Exchange"
spain, name:"BME", "BME Bolsa de Madrid"
sweden, name:"NGM", "NGM Nordic Growth Market"
sweden, name:"STO", "STO Nasdaq Stockholm"
switzerland, name:"SIX", "SIX SIX Swiss Exchange"
switzerland, name:"SIX", "SIX Swiss Stock Exchange"
taiwan, name:"TPEx", "TPEx Taipei Exchange"
taiwan, name:"TWSE", "TWSE Taiwan Stock Exchange"
thailand, name:"SET", "SET Stock Exchange of Thailand"
thailand, name:"TFEX", "TFEX Thailand Futures Exchange"
turkey, name:"BIST", "BIST Borsa Istanbul"
turkey, name:"IST", "IST Istanbul Stock Exchange"
uk, name:"LSE", "LSE London Stock Exchange (UK Companies
uk, name:"LSIN", "LSIN London Stock Exchange (International Companies
usa, name:"Arca", "Arca NYSE Arca"
usa, name:"CBOE", "CBOE Chicago Board Options Exchange"
usa, name:"CBOT E-mini", "CBOT E-mini Chicago Board of Trade"
usa, name:"CBOT", "CBOT Chicago Board of Trade"
usa, name:"CME E-mini", "CME GLOBEX E-mini Chicago Mercantile Exchange Globex"
usa, name:"CME GLOBEX", "CME GLOBEX Chicago Mercantile Exchange Globex"
usa, name:"COMEX E-mini", "COMEX E-mini Commodity Exchange"
usa, name:"COMEX", "COMEX Commodity Exchange"
usa, name:"DJ", "DJ Dow Jones Indexes"
usa, name:"DJ", "DJ Dow Jones Indices"
usa, name:"FairX", "FairX"
usa, name:"FRBNY", "Federal reserve bank of New York"
usa, name:"FRBP", "Federal reserve bank of Philadelphia"
usa, name:"FRED", "Federal reserve economic data"
usa, name:"FRKC", "Federal reserve bank of Kansas City"
usa, name:"ICEUS", "ICEUS ICE Futures U.S."
usa, name:"ISM", "Institute of supply management"
usa, name:"KCBT", "KCBT Futures"
usa, name:"MGEX", "MGEX Futures"
usa, name:"NASDAQ", "NASDAQ NASDAQ Stock Market"
usa, name:"NYMEX E-mini", "NYMEX E-mini New York Mercantile Exchange"
usa, name:"NYMEX", "NYMEX New York Mercantile Exchange"
usa, name:"NYSE", "NYSE New York Stock Exchange"
usa, name:"OTC", "OTC OTC Markets"
usa, name:"SP", "SP S&P Indexes"
usa, name:"SP", "SP S&P Indices"
usa, name:"TRADING ECONOMICS", "World economic data"
usa, name:"USI", "USI"
vietnam, name:"HNX", "HNX Hanoi Stock Exchange (UPCoM
vietnam, name:"HNX", "HNX Hanoi Stock Exchange"
vietnam, name:"HOSE", "HOSE Ho Chi Minh City Stock Exchange"
tradingview markets
"###Acciones","NASDAQ:AAPL","BME:SAN","BCBA:GGAL","BMV:CEMEX/CPO",
"###Actions","EURONEXT:FP","EURONEXT:GLE","EURONEXT:ORA",
"###Akcje Gie�dowe","GPW:PKO","GPW:JSW","GPW:PKN","NASDAQ:AAPL","NASDAQ:TSLA",
"###Aktien","XETR:SAP","XETR:BAYN","XETR:ADS","NASDAQ:AAPL","NASDAQ:TSLA",
"###Aktier","OMXSTO:VOLV_A","OMXSTO:ATCO_A","OMXSTO:INVE_A","NASDAQ:AAPL","NASDAQ:TSLA",
"###Azioni","MIL:ENI","MIL:ISP","NASDAQ:TSLA","NASDAQ:AAPL",
"###A癟繭es (Stocks)","BMFBOVESPA:PETR4","BMFBOVESPA:VVAR3","BMFBOVESPA:ITSA4","BMFBOVESPA:MGLU3",
"###Cripto","BITSTAMP:BTCUSD","BINANCE:BTCBRL","BINANCE:ETHUSDT",
"###Cripto","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###Cripto","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BITSTAMP:BTCEUR",
"###Crypto","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###Crypto","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###Crypto","BITSTAMP:BTCUSD","BITSTAMP:BTCGBP","BITSTAMP:ETHUSD","BITSTAMP:XRPUSD",
"###Crypto","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BINANCE:BTCUSDT","BITSTAMP:BTCEUR",
"###Crypto","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BITSTAMP:XRPUSD","BITSTAMP:LTCUSD",
"###C廙� phi廕簑","HOSE:HPG","HOSE:VCB","HOSE:FPT","NASDAQ:AAPL","NASDAQ:TSLA",
"###D繹viz","FX:USDTRY","FX:EURTRY","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###Forex","FX:EURUSD","FX:EURGBP","FX:USDJPY","FX:GBPUSD",
"###Forex","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###Forex","FX:EURUSD","FX:GBPUSD","FX:USDJPY","FX:EURGBP",
"###Forex","FX:EURUSD","FX:USDJPY","FX:GBPUSD",
"###Forex","FX:GBPUSD","FX:EURUSD","FX:GBPJPY",
"###Forex","FX_IDC:USDINR","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###Forex","FX_IDC:USDPLN","FX_IDC:EURPLN","FX:EURUSD","FX:USDJPY","FX:GBPUSD",
"###Futures","EUREX:FDAX1!","TVC:GOLD","TVC:USOIL","TVC:UKOIL",
"###Futures","NSE:NIFTY1!","NSE:BANKNIFTY1!","NSE:RELIANCE1!","NSE:INFY1!",
"###Futures","OANDA:XAUUSD","TVC:USOIL","CURRENCYCOM:US30",
"###Futures","TVC:GOLD","TVC:USOIL",
"###Futures","TVC:UKOIL","TVC:USOIL","TVC:GOLD",
"###Futures","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###Futuros (Futures)","BMFBOVESPA:WIN1!","BMFBOVESPA:WDO1!","TVC:UKOIL","TVC:GOLD","BMFBOVESPA:CCM1!",
"###Futuros","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###FX","FX:USDJPY","FX:EURUSD","FX:GBPJPY",
"###Hadapan","TVC:USOIL","TVC:UKOIL","TVC:GOLD",
"###Hisse Senetleri","BIST:THYAO","BIST:ASELS","BIST:TUPRS","NASDAQ:AAPL","NASDAQ:TSLA",
"###H廙φ �𤒹�忛g T⑹①ng lai","TVC:USOIL","TVC:UKOIL","TVC:GOLD",
"###Kontrak berjangka (Futures)","TVC:USOIL","TVC:UKOIL","TVC:GOLD",
"###Kontrakty Terminowe","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###Kripto","BITFINEX:BTCTRY","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BITSTAMP:XRPUSD",
"###Kripto","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BITFINEX:BTCMYR",
"###Krypto","BITSTAMP:BTCUSD","BITSTAMP:BTCEUR","BITSTAMP:ETHUSD",
"###Krypto","BITSTAMP:BTCUSD","BITSTAMP:BTCEUR","BITSTAMP:ETHUSD",
"###Krypto","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD",
"###Moedas (Forex)","FX_IDC:USDBRL","FX:EURUSD","FX:USDJPY",
"###Ngo廕【 h廙魀","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###Saham (Stock)","IDX:ANTM","IDX:BBRI","IDX:TLKM",
"###Saham","MYX:TOPGLOV","MYX:SUPERMX","MYX:CAREPLS","NASDAQ:AAPL","NASDAQ:TSLA",
"###Stocks","LSE:LLOY","LSE:BARC","LSE:BP.","NASDAQ:AAPL","NASDAQ:TSLA",
"###Stocks","NASDAQ:AAPL","NASDAQ:TSLA","NASDAQ:NFLX",
"###Stocks","NSE:RELIANCE","NSE:AXISBANK","NSE:HDFCBANK","NSE:ICICIBANK","NSE:BAJFINANCE",
"###Terminer","TVC:USOIL","TVC:UKOIL","TVC:GOLD",
"###Ti廙�n �魀廙𡵞 t廙�","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###Vadeliler","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###Valutor","FX:USDSEK","FX:EURSEK","FX:EURUSD","FX:USDJPY",
"###塈�堧堻�䂴�","TADAWUL:2222","TADAWUL:1120","TADAWUL:1150","NASDAQ:AAPL","NASDAQ:TSLA",
"###塈�媢��塈堛 塈�堭���𢲲�","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###塈�媢���� 塈�堞堿�堜","TVC:USOIL","TVC:UKOIL","TVC:GOLD",
"###塈����斬�堻","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###憭硋𥲤","FX:EURUSD","FX:GBPUSD","FX:USDJPY",
"###憭𡝗��","FX:EURUSD","FX:GBPUSD","FX:USDJPY","FX_IDC:USDCNY",
"###穈�����籝��","BITMEX:XBTUSD","BITHUMB:BTCKRW","BINANCE:BTCUSDT",
"###窱卿�渥ˉ���","KRX:005930","KRX:035420","KRX:005380","KRX:068270","KRX:035720",
"###苳�𧄍耯箮萃����","MOEX:BR1!","MOEX:RI1!","MOEX:GD1!",
"###蚹蚳�訸尤痈�","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###鉊徇虜鉆凼��","SET:AOT","SET:CPALL","SET:PTT","NASDAQ:AAPL","NASDAQ:TSLA",
"###鉊颴葩鉊抉�鉊�葉鉊␡��","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###鉊�鉊␡葩鉊𥔿�鉊�","BITKUB:BTCTHB","BITSTAMP:BTCUSD","BINANCE:ETHUSDT",
"###隞格�喲�朞疏","BITSTAMP:BTCUSD","BITFLYER:BTCJPY","BITMEX:XBTUSD",
"###�∠巨","HKEX:700","HKEX:9988","SSE:600519","NASDAQ:AAPL","NASDAQ:TSLA",
"###�∠巨","TWSE:2330","TWSE:0050","HKEX:700","NASDAQ:AAPL","NASDAQ:TSLA",
"###�㟲�烵�𧙖狩","CBOT_MINI:YM1!","CME_MINI:NQ1!","CME_MINI:ES1!","NYMEX:CL1!","CBOE:VX1!",
"###�㵯𤤯鏛訸� 蛁蛌�訸𡷫訸訸�","TVC:USOIL","TVC:GOLD","TVC:SILVER",
"###�烵���","FX_IDC:USDKRW","FX:EURUSD","FX:USDJPY",
"###�紥娫\"��","FX:EURUSD","FX:GBPUSD","FX:USDJPY","FX_IDC:USDILS",
"###�紥蟁訸𤤯�","TASE:TEVA","TASE:OPK","TASE:INTL","NASDAQ:AAPL","NASDAQ:TSLA",
"###�阸撘�","TSE:9984","TSE:8306","TSE:6758",
"###��惩�鞎典馳","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD"
"###��惩�韐批�","BITSTAMP:BTCUSD","BINANCE:BTCUSDT","BITSTAMP:ETHUSD",
"###��蠘揮","TVC:GOLD","TVC:SILVER","TVC:USOIL","TVC:UKOIL",
"###��蠘疏","TVC:USOIL","TVC:GOLD","HKEX:HSI1!",
"###���","TVC:GOLD","TVC:USOIL","OSE:NK2251!","TVC:US10Y",
"###�𠲍�邽郈�郋赲訄郅�耯���","BITSTAMP:BTCUSD","BITSTAMP:ETHUSD","BITSTAMP:XRPUSD","BITSTAMP:LTCUSD",
"###�𠸝匾銑耯���","MOEX:USDRUB_TOM","MOEX:EURRUB_TOM","FX:EURUSD","FX:GBPUSD",
"###�𡤕碧�邽邽","MOEX:SBER","MOEX:GAZP","MOEX:LKOH","MOEX:VTBR",
"ar_AE":["TADAWUL:TASI","TADAWUL:MT30","TVC:SPX","TVC:NDX","NSE:NIFTY",
"br":["BMFBOVESPA:IBOV","BMFBOVESPA:SMLL","TVC:SPX","TVC:DXY","TVC:DJI",
"de_DE":["TVC:DEU30","TVC:SPX","TVC:NDX","TVC:SX5E","TVC:UKX",
"default":["SP:SPX","TVC:NDX","TVC:DJI","CBOE:VIX","TVC:DXY",
"es":["TVC:SPX","TVC:IBEX35","TVC:DXY","TVC:VIX",
"fr":["TVC:CAC40","TVC:DEU30","TVC:NDX","TVC:SPX",
"he_IL":["TASE:TA35","TVC:NDX","TVC:SPX","TVC:DJI","TVC:DXY",
"id":["IDX:COMPOSITE","IDX:IDX30","IDX:IDXBUMN20","TVC:SPX","TVC:DXY",
"in":["NSE:NIFTY","NSE:BANKNIFTY","BSE:SENSEX","NSE:CNXIT","TVC:SPX",
"it":["TVC:FTMIB","TVC:SPX","TVC:DXY","TVC:UKX","TVC:DAX",
"ja":["TVC:NI225","TVC:DJI","TVC:SPX","TVC:DXY","TVC:VIX",
"kr":["KRX:KOSPI","KRX:KOSPI200","KRX:KOSDAQ","TVC:SPX","TVC:NDX","TVC:NI225",
"ms_MY":["FTSEMYX:FBMKLCI","FX_IDC:USDMYR","MYX:FCPO1!","TVC:SPX","TVC:VIX",
"pl":["GPW:WIG20","TVC:SX5E","TVC:DAX","TVC:SPX",
"ru":["MOEX:IMOEX","MOEX:RTSI","TVC:SPX","TVC:NDX",
"sv_SE":["OMXSTO:OMXSPI","TVC:SPX","TVC:NDX","CURRENCYCOM:UK100","TVC:VIX",
"th_TH":["SET:SET","SET:SET50","TVC:SPX","TVC:NDX","TVC:VIX",
"tr":["BIST:XU100","TVC:SPX","TVC:DAX","FX_IDC:XAUTRY","TVC:VIX",
"uk":["TVC:UKX","TVC:SPX","TVC:NDX","CBOE:VIX","TVC:DXY",
"vi_VN":["HOSE:VNINDEX","HNX:HNXINDEX","TVC:SPX","TVC:NDX","TVC:VIX",
"zh_CN":["TVC:SHCOMP","SZSE:399106","TVC:HSI","TVC:SPX","TVC:DXY",
"zh_TW":["TWSE:TAIEX","TVC:HSI","TVC:SPX","TVC:NDX","TVC:VIX",
finance.sina.com
http://vip.stock.finance.sina.com.cn/mkt/
Day line data:
https://quotes.sina.cn/lse/api/jsonp.php/var%20_tsl32022_1_26=/LSEService.getDays?symbol=tsl3
minline data:
https://quotes.sina.cn/lse/api/openapi.php/LSEService.minline?symbol=tsl3&type=1&callback=var%20t1tsl3=
UK Quote symbols
Ingersoll-Rand Plc 0Y2S
Amur Minerals Corporation AMC
Global Petroleum Limited GBP
Katoro Gold plc KAT
Leverage Shares 3x Palantir ETP PLT3
Leverage Shares 3x Netflix ETP NFL3
Ideanomics Inc. 0A4F
Graniteshares 3X Long Netflix Daily ETP 3LNF
Argo Blockchain PLC ARB
Leverage Shares 3x Long ARKG Genomic ETP Securities ARG3
Leverage Shares -1x Short Plug Power ETP PLGS
Leverage Shares 3x BP ETP BP3L
GraniteShares 3X Long Tesla Daily ETP 3LTS
Novavax Inc. 0A3S
ALPHA GROWTH PLC ORD GBP0.001 ALGW
Leverage Shares 3x Tesla ETP TSL3
Leverage Shares 3x Roku ETP ROK3
Leverage Shares 3x Baidu ETP BID3
GraniteShares 3x Long BP Daily ETP 3LBP
MYCELX Technologies Corporation MYX
Silvergate Capital Corp. Class A 0A96
Leverage Shares 3x Twitter ETP TWT3
Match Group Inc. 0JZ7
Tonix Pharmaceuticals Holding Corp. 0A4T
Eco (Atlantic) Oil & Gas Ltd. ECO
Tower Resources plc TRP
MD Medical Group Investments Plc Sponsored GDR RegS MDMG
BioNTech SE Sponsored ADR 0A3M
Etalon Group Plc Sponsored GDR RegS ETLN
GraniteShares 3x Long Royal Dutch Shell Daily ETP 3LRD
GraniteShares 3x Long Barclays Daily ETP 3LBC
Leverage Shares 3x Airbnb ETP ABN3
Augmentum Fintech PLC AUGM
Leverage Shares Public Limited Company Leverage Shares 3x Salesforce.Com ETP CRM3
Leverage Shares 3x JD.Com ETP JD3
GraniteShares 3x Long Lloyds Daily ETP 3LLL
Circassia Pharmaceuticals Plc CIR
Europa Oil & Gas (Holdings) plc EOG
GraniteShares 3X Long Nvidia Daily ETP USD 3LNV
Occidental Petroleum Corporation 0KAK
var hq_str_gb_$dji="道琼斯,34297.7305,-0.19,2022-01-26 06:04:23,-66.7700,34186.6406,34591.0391,33545.5195,36952.6484,29856.3008,522186104,425898650,0,0.00,--,0.00,0.00,0.00,0.00,0,0,0.0000,0.00,0.0000,,Jan 25 05:04PM EST,34364.5000,0,1,2022";
var hq_str_gb_ixic="纳斯达克,13539.2949,-2.28,2022-01-26 06:30:30,-315.8346,13610.8663,13781.6227,13414.1420,16212.2285,12397.0537,4253060162,4152782529,0,0.00,--,0.00,0.00,0.00,0.00,0,0,0.0000,0.00,0.00,,Jan 25 05:16PM EST,13855.1295,0,1,2022,0.0000,0.0000,0.0000,0.0000,0.0000";
var hq_str_gb_$inx="标普500指数,4356.4502,-1.22,2022-01-26 06:04:23,-53.6800,4366.6401,4411.0098,4287.1099,4818.6201,3694.1201,3056989211,2678402720,0,0.00,--,0.00,0.00,0.00,0.00,0,0,0.0000,0.00,0.0000,,Jan 25 05:04PM EST,4410.1299,0,1,2022";
var hq_str_hf_GC="1849.480,,1849.300,1849.400,1850.200,1847.700,08:02:36,1852.500,1848.000,112154.000,3,2,2022-01-26,纽约黄金,1596";
var hq_str_hf_CL="85.327,,85.310,85.320,85.480,85.110,08:02:51,85.600,85.260,434000.000,5,1,2022-01-26,WTI纽约原油,3053";
var hq_str_DINIW="08:02:54,95.9654,95.9654,95.9986,756,96.0062,96.0346,95.9590,95.9654,美元指数,2022-01-26";
var hq_str_s_sh000001="上证指数,3433.0612,-91.0438,-2.58,3273538,38372774";
var hq_str_rt_hkHSI="HSI,恒生指数,24251.520,24656.461,24366.890,24001.960,24243.609,-412.850,-1.670,0.000,0.000,146486313.854,11301326237,0.000,0.000,31183.359,22665.250,2022/01/25,16:09:02,,,,,,";
var hq_str_b_NKY="日经225指数,27134.0000,2.66,0.01,1:15 AM,14:15:00,2022-01-26,08:00:00,27134.0000,27131.3400,27149.0000,27134.0000,0";
to get code num while typing in input
onfocus="this.value='';
<form method="post">
<input type="text" autocomplete="off" value="代码/名称/拼音" name="cl" onfocus="this.value='';" />
<input type="hidden" name="ZHENGQUANDM">
<input type="submit" class="sb-sub bg" value="查询" name="submitbtn" />
<div id="top-stock-box" class="scroll-index c5"></div>
ajax: https://smartbox.gtimg.cn/s3/?v=2&q=bjy&t=all&c=1
result:
v_hint="
sh~601169~\u5317\u4eac\u94f6\u884c~bjyh~GP-A^
sz~300404~\u535a\u6d4e\u533b\u836f~bjyy~GP-A^
nq~834997~\u90a6\u5065\u533b\u7597~bjyl~GP^
nq~837019~\u767e\u5bb6\u533b\u9053~bjyd~GP"
world index
can be wrong
https://qt.gtimg.cn/q=marketStat,gzFTSE,gzINDEXCF,gzFCHI,gzSSMI,gzFTSEMIB,gzSMSI,gzOMX,gzHEX,gzOSEAX,gzISEQ,gzAEX,gzIBEX,gzICEXI
v_gzFTSE FTSE 英国富时100指数
v_gzINDEXCF INDEXCF 俄罗斯MICEX指数
v_gzFCHI FCHI 法国CAC40指数
v_gzSSMI SSMI 瑞士股票指数
v_gzFTSEMIB FTSEMIB 富时意大利MIB指数
v_gzSMSI SMSI 西班牙马德里综合指数
v_gzOMX OMX OMX斯德哥尔摩30指数
v_gzHEX HEX 丹麦OMXPHI指数
v_gzOSEAX OSEAX 挪威OSEAX指数
v_gzISEQ ISEQ 爱尔兰总指数
v_gzAEX AEX 荷兰AEX综合指数
v_gzIBEX IBEX 西班牙IBEX 35指数
v_gzICEXI ICEXI 冰岛15指数
英国富时100指数
can be wrong
https://qt.gtimg.cn/?q=gzFTSE
欧洲时间顺序
15:32:08 HK
10:32:08 白俄罗斯 明斯克
09:32:08 芬兰 赫尔辛基
09:32:08 罗马尼亚 布加勒斯特
09:32:08 立陶宛 维尔纽斯
09:32:08 爱沙尼亚 塔林
09:32:08 摩尔多瓦 基希讷乌
09:32:08 拉脱维亚 里加
09:32:08 希腊 雅典
09:32:08 保加利亚 索非亚
09:32:08 乌克兰 基辅
08:32:08 黑山 波德戈里察
08:32:08 马耳他 瓦莱塔
08:32:08 马其顿 斯科普里
08:32:08 阿尔巴尼亚 地拉那
08:32:08 西班牙 马德里
08:32:08 荷兰 阿姆斯特丹
08:32:08 瑞士 伯尔尼
08:32:08 瑞典 斯德哥尔摩
08:32:08 波斯尼亚和黑塞哥维那 萨拉热窝
08:32:08 波兰 华沙
08:32:08 法国 巴黎
08:32:08 比利时 布鲁塞尔
08:32:08 梵蒂冈 梵蒂冈
08:32:08 斯洛文尼亚 卢布尔雅那
08:32:08 斯洛伐克 布拉迪斯拉发
08:32:08 摩纳哥 摩纳哥
08:32:08 捷克 布拉格
08:32:08 挪威 奥斯陆
08:32:08 意大利 罗马
08:32:08 德国 柏林
08:32:08 安道尔 安道尔
08:32:08 奥地利 维也纳
08:32:08 塞尔维亚 贝尔格莱德
08:32:08 圣马力诺 圣马力诺
08:32:08 卢森堡 卢森堡
08:32:08 匈牙利 布达佩斯
08:32:08 列支敦士登 瓦杜兹
08:32:08 克罗地亚 萨格勒布
08:32:08 丹麦 哥本哈根
07:32:08 葡萄牙 里斯本
07:32:08 英国 伦敦
07:32:08 爱尔兰 都柏林
07:32:08 冰岛 雷克雅未克
request yahoo.com HSI daily data
lowest at 2022, 2022-10-31 14687
download data address at
https://query1.finance.yahoo.com/v7/finance/download/%5EHSI?period1=1667174400&period2=1667260800&interval=1d&events=history&includeAdjustedClose=true
chart address
https://finance.yahoo.com/quote/%5EHSI/history?period1=1667174400&period2=1667260800&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true
To request batch data sheet, prepare codetable, for loop to load
create investment index
create sectional index
base index, prepare codetable
base on price on start date
each code divide fundamental weight for sectional index
eg railroad sector:
01766,01186,01800,00390,03898
predicting stock market trends
Here are some factors that can affect the accuracy of predicting stock market trends:
Data quality:
The accuracy of predicting stock market trends depends on the quality of the data used to make predictions.
If the data is incomplete, biased, or inaccurate, the predictions may not be reliable.
Model complexity:
The complexity of the model used to predict stock market trends can also impact its accuracy.
More complex models may require more data and computational resources, which can increase the risk of errors.
Market conditions:
Stock market trends can be influenced by various market conditions such as economic indicators, geopolitical events, and investor sentiment.
These factors can impact the accuracy of predictions if they are not taken into account.
Model overfitting:
Overfitting occurs when a model is too closely fit to the training data and fails to generalize well to new data.
This can result in poor performance on unseen data and reduced accuracy in predicting stock market trends.
Model selection:
Choosing the right model for predicting stock market trends is crucial.
Different models may perform better or worse depending on the specific characteristics of the data and the problem being solved.
Hyperparameter tuning:
Hyperparameters are parameters that are set before training a model, such as learning rate, regularization strength, and number of hidden layers.
Tuning these hyperparameters can significantly impact the accuracy of the model.
Feature engineering:
Features are the input variables used to train a model.
Engineering relevant features can improve the accuracy of the model by capturing important patterns and relationships in the data.
Ensemble methods:
Ensemble methods combine multiple models to improve the accuracy of predictions.
Bagging, boosting, and stacking are common ensemble methods used in machine learning.
Cross-validation:
Cross-validation is a technique used to evaluate the performance of a model on unseen data.
It helps to reduce overfitting and improve the accuracy of predictions.
Continuous monitoring:
Monitoring the performance of the model on a continuous basis can help to identify any issues and adjust the model accordingly.
This can lead to improved accuracy and better decision-making.
Technical analysis:
This involves studying charts and technical indicators to identify patterns and trends in the market.
Some popular indicators include moving averages, relative strength index (RSI), and Bollinger bands.
Fundamental analysis:
This involves studying a company's financial statements and other factors to determine its intrinsic value.
Some fundamental analysts use metrics like earnings per share (EPS), return on equity (ROE), and dividend yield to estimate a company's future growth potential.
Sentiment analysis:
This involves analyzing news articles and social media posts to gauge investor sentiment towards a particular stock or sector.
Sentiment analysis can help identify trends and patterns in investor behavior that may not be immediately apparent from other sources.
Quantitative analysis:
This involves using mathematical models and algorithms to analyze large datasets and identify patterns and trends in the market.
Quantitative analysts may use techniques like regression analysis and time series forecasting to predict future price movements.
Macroeconomic analysis:
This involves studying broader economic trends and factors that can impact the stock market.
For example, central bank policies, interest rates, and inflation expectations can all have an impact on the market.
Geopolitical analysis:
This involves studying political and geopolitical events that can impact the global economy and, therefore, the stock market.
Events like elections, trade wars, and natural disasters can all have significant effects on the market.
Correlation analysis:
This involves studying the relationship between different stocks or sectors to identify patterns and trends.
By identifying correlated stocks, you can diversify your portfolio and potentially benefit from the movement of related assets.
Factor analysis:
This involves studying the underlying factors that drive stock prices, such as earnings growth, valuation multiples, and industry trends.
By identifying key drivers of stock prices, you can create a more informed investment strategy.
Risk management:
This involves managing the risks associated with investing in the stock market, such as market volatility, currency fluctuations, and macroeconomic shocks.
By developing a risk management plan, you can protect your investments and achieve your long-term goals.
Portfolio optimization:
This involves optimizing your portfolio to maximize returns while minimizing risk.
By rebalancing your portfolio regularly and adjusting your asset allocation as needed, you can ensure that your portfolio remains aligned with your investment objectives.
Active vs. passive management:
This involves choosing between actively managed funds, where a professional manager makes investment decisions on behalf of the fund, and passive funds, which track a particular market index without actively managing the portfolio.
Both approaches have their advantages and disadvantages, and the choice will depend on your individual investment goals and risk tolerance.
Diversification:
This involves spreading your investments across different asset classes, sectors, and geographic regions to reduce risk and increase potential returns.
By diversifying your portfolio, you can protect yourself against market downturns and potentially benefit from market upswings.
Regular portfolio rebalancing:
This involves periodically reviewing your portfolio and making adjustments as needed to ensure that it remains aligned with your investment objectives.
By rebalancing your portfolio regularly, you can maintain your desired asset allocation and avoid overweighting any one asset class.
By considering these additional factors, you can develop a more comprehensive investment strategy that takes into account the unique characteristics of each stock and the overall market environment.
sohu stk price
https://q.stock.sohu.com/cn/837046/index.shtmlhttps://hqm.stock.sohu.com/getqjson?code=cn_300750,cn_600406current price
https://hqm.stock.sohu.com/getqjson?code=cn_837046{"cn_837046":["cn_837046","亿能电力","16.52","29.98%","+3.81","54932","50","9075","12.04%","2.71","16.52","16.52","88.82","12.71","16.52","\/cn\/837046\/index.shtml","7.54","2024-11-07 10:21:57","\/t\/cn\/046\/837046.html"]}
javascript to load daily klines and calc curAmtPos
stknum = "06186";
stknum = "hk" + stknum;
url = "https://web.ifzq.gtimg.cn/appstock/app/hkfqkline/get?_var=kline_dayqfq¶m=" + stknum + ",day,,,10,qfq";
$.get(url)
.done(function (responseText) {
jsonString = responseText.split("=")[1];
jsonData = JSON.parse(jsonString);
stockData = jsonData.data[stknum].qfqday;
stockName = jsonData.data[stknum].qt[stknum][1];
// Get the complete array
dateArray = stockData.map(row => row[0]);
openArray = stockData.map(row => Number(row[1]));
closeArray = stockData.map(row => Number(row[2]));
highArray = stockData.map(row => Number(row[3]));
lowArray = stockData.map(row => Number(row[4]));
volArray = stockData.map(row => Number(row[5]));
objArray = stockData.map(row => row[6]);
amtArray = stockData.map(row => Number(row[8]));
lastdate = dateArray.length -1
console.log(stockName, " curPosition: ",calcCurAmtPosition(amtArray))
})
// calcCurAmtPosition amtArray length may be longer than 10
function calcCurAmtPosition(amtArray) {
amtavg = averageOfLastTen(amtArray);
// console.log("amtavg: ",amtavg)
amtArray = amtArray.slice(amtArray.length - 10)
curAmtPosition = Math.round((amtArray[amtArray.length-1] / amtavg)*100)
if(curAmtPosition>100){
curAmtPosition = ""+curAmtPosition+""
}
return curAmtPosition
}
function averageOfLastTen(arr) {
// Check if the array has at least 10 elements
if (arr.length < 10) {
throw new Error("Array must have at least 10 elements");
}
// Slice the last 10 elements
lastTen = arr.slice(-10);
// Calculate the sum of the last 10 elements
sum = lastTen.reduce((acc, val) => acc + val, 0);
// Calculate the average
average = sum / 10;
return average;
}
Tushare：免费开源的中国A股金融市场数据接口
Tushare 是一款免费、开源的 Python 财经数据接口包，专为金融分析师和量化交易者设计，提供了丰富的中国股市、期货市场等金融市场的历史数据和实时数据。
项目背景
Tushare 旨在为金融分析人员提供快速、整洁、多样的便于分析的数据，涵盖股票、基金、债券、期货等多种金融产品的数据采集、清洗加工和存储过程。
其返回的数据格式为 Pandas DataFrame 类型，方便与 Pandas、NumPy、Matplotlib 等库进行数据分析和可视化。
Tushare 的数据接口涵盖了从数据采集、清洗加工到数据存储的全过程，极大地减轻了金融分析人员在数据获取方面的工作量，使他们能够更加专注于策略和模型的研究与实现。
项目优势
免费开源：Tushare 是一个免费、开源的 Python 财经数据接口包，任何人都可以免费使用。
丰富的数据类型：提供股票、基金、债券、期货等多种金融产品的数据，满足不同分析需求。
易于使用的 API：Tushare 的 API 设计简洁明了，即使是没有太多编程经验的用户也能够快速上手。
社区支持：Tushare 拥有活跃的社区，用户可以在社区中提问、分享使用经验、讨论金融数据分析的相关话题。
主要功能模块
1.数据采集
Tushare 提供了丰富的金融数据接口，包括股票、基金、债券、期货等多种金融产品的数据。
用户可以通过简单的 API 调用获取所需的数据。
示例代码：
import tushare as ts
# 设置 Tushare 的 tokents.set_token(\'your_token\')pro = ts.pro_api()
# 获取股票基础信息df = pro.stock_basic(exchange=\'\', list_status=\'L\', fields=\'ts_code,name,area,industry\')print(df.head())
2.数据清洗与加工
Tushare 返回的数据格式为 Pandas DataFrame 类型，方便与 Pandas、NumPy 等库进行数据清洗和加工。
用户可以利用 Pandas 提供的丰富功能对数据进行处理。
示例代码：
import pandas as pd
# 假设 df 是从 Tushare 获取的股票数据df[\'trade_date\'] = pd.to_datetime(df[\'trade_date\'])df.set_index(\'trade_date\', inplace=True)
# 计算每日收益率df[\'daily_return\'] = df[\'close\'].pct_change()print(df.head())
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3.数据存储
Tushare 支持将获取的数据保存到本地，方便后续分析。
用户可以将数据保存为 CSV、Excel 等格式。
示例代码：
# 将数据保存为 CSV 文件df.to_csv(\'stock_data.csv\', index=False)
# 将数据保存为 Excel 文件df.to_excel(\'stock_data.xlsx\', index=False)
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快速上手指南
1.环境配置
首先，确保您的系统已安装 Python 3.6 及以上版本。
建议使用虚拟环境来管理项目依赖。
# 创建虚拟环境python3 -m venv tushare_env
# 激活虚拟环境# 对于 macOS/Linuxsource tushare_env/bin/activate# 对于 Windowstushare_env\Scripts\activate.bat
2.安装依赖
在虚拟环境中，使用 pip 安装 Tushare：
pip install tushare
3.注册并获取 Token
访问 Tushare 官网注册账号，获取 API Token。
注册后，登录 Tushare 官网，在个人主页中可以找到您的 Token。
4.使用 Tushare 获取数据
在 Python 脚本中，使用 Tushare 获取所需的金融数据。
示例代码：
import tushare as ts
# 设置 Tushare 的 tokents.set_token(\'your_token\')pro = ts.pro_api()
# 获取股票基础信息df = pro.stock_basic(exchange=\'\', list_status=\'L\', fields=\'ts_code,name,area,industry\')print(df.head())
项目亮点
免费开源：Tushare 是一个免费、开源的 Python 财经数据接口包，任何人都可以免费使用。
丰富的数据类型：提供股票、基金、债券、期货等多种金融产品的数据，满足不同分析需求。
易于使用的 API：Tushare 的 API 设计简洁明了，即使是没有太多编程经验的用户也能够快速上手。
社区支持：Tushare 拥有活跃的社区，用户可以在社区中提问、分享使用经验、讨论金融数据分析的相关话题。
项目总结
Tushare 是一款功能强大的免费开源 Python 财经数据接口包，专为金融分析师和量化交易者设计，提供了丰富的中国金融市场数据。
其易于使用的 API、丰富的数据类型和活跃的社区支持，使其成为金融数据分析和量化交易策略开发的理想工具。
项目链接： https://github.com/waditu/tushare
Some qqfinance urls
ask for indices
https://qt.gtimg.cn/?q=s_sh000001,s_sz399001,s_r_hkHSI,s_usDJI,s_usIXIC,gzFCHI,gzGDAXI,gzN225,gzFTSTI,gzTWII,fqUS_GC_1,fqUS_CL_1&_=1741169497238
v_s_sh000001="1~上证指数~000001~3341.96~17.75~0.53~460952696~58776760~~634275.37~ZS";
v_s_sz399001="51~深证成指~399001~10709.46~30.02~0.28~668283361~90604705~~360809.46~ZS";
v_s_r_hkHSI="100~恒生指数~HSI~23594.210~652.440~2.84~25868923.4729~25868923.473~~0";
v_s_usDJI="200~道琼斯~.DJI~42520.99~-670.25~-1.55~815781869~34794058818250~~";
v_s_usIXIC="200~纳斯达克~.IXIC~18285.16~-65.03~-0.35~7337995701~134176446018485~~";
v_gzFCHI="FCHI~法国CAC40指数~2025-03-05 18:09:46~8234.51~186.59~2.32~EU~";
v_gzGDAXI="GDAXI~德国DAX 30种股价指数~2025-03-05 18:09:49~23163.83~837.02~3.75~EU~";
v_gzN225="N225~日经225指数~2025-03-05 14:30:01~37418.24~87.06~0.23~AP~";
v_gzFTSTI="FTSTI~富时新加坡海峡时报指数~2025-03-05 17:20:00~3898.40~7.64~0.20~~";
v_gzTWII="TWII~台湾加权指数~2025-03-05 14:30:00~22871.90~275.02~1.22~AP~";
ask for price sh600519
https://web.sqt.gtimg.cn/q=sh600519
https://qt.gtimg.cn/?q=s_psh600519
https://qt.gtimg.cn/?q=s_ddsh600519
https://qt.gtimg.cn/?q=ff_sz000001
multiple numbers
https://qt.gtimg.cn/?q=sh000001,bkqt012010,pt012010_600519
10 days kline
https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq¶m=sh000001,day,,,10,qfq
https://web.ifzq.gtimg.cn/appstock/app/fqkline/get?_var=kline_dayqfq¶m=sh000001,day,,,320,qfq
only today, minute data:
https://web.ifzq.gtimg.cn/appstock/app/minute/query?_var=min_data_sh000001&code=sh000001
https://web.ifzq.gtimg.cn/appstock/app/minute/query?_var=min_data_sz000001&code=sz000001
five day minut data:
https://web.ifzq.gtimg.cn/appstock/app/day/query?_var=fdays_data_sh000001&code=sh000001
warrant
https://web.ifzq.gtimg.cn/appstock/app/day/query?code=hk68071
15年周线保力加
9 日线一年
11 周线三年
2059 15年周线保力加
2060 15年月线
http://charts.aastocks.com/servlet/Charts?fontsize=12&15MinDelay=T&lang=1&titlestyle=1&vol=1&Indicator=9&indpara1=18&indpara2=3&indpara3=0&indpara4=0&indpara5=0&subChart1=3&ref1para1=5&ref1para2=10&ref1para3=3&subChart2=3&ref2para1=12&ref2para2=26&ref2para3=9&subChart3=7&ref3para1=7&ref3para2=5&ref3para3=0&subChart4=7&ref4para1=11&ref4para2=8&ref3para3=0&subChart5=13&ref3para1=0&ref3para2=0&ref3para3=0&scheme=3&com=100&chartwidth=1250&chartheight=1000&stockid=00005&period=2059&type=1&logoStyle=1