K线图
1.程序
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts</title>
<!-- 引入 echarts.js -->
<script src="../echarts.min.js"></script>
</head>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="main" style="width: 900px;height:600px;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('main')); // 指定图表的配置项和数据
// 数据意义：开盘(open)，收盘(close)，最低(lowest)，最高(highest)
var data0 = splitData([
['2013/1/24', 2320.26,2320.26,2287.3,2362.94],
['2013/1/25', 2300,2291.3,2288.26,2308.38],
['2013/1/28', 2295.35,2346.5,2295.35,2346.92],
['2013/1/29', 2347.22,2358.98,2337.35,2363.8],
['2013/1/30', 2360.75,2382.48,2347.89,2383.76],
['2013/1/31', 2383.43,2385.42,2371.23,2391.82],
['2013/2/1', 2377.41,2419.02,2369.57,2421.15],
['2013/2/4', 2425.92,2428.15,2417.58,2440.38],
['2013/2/5', 2411,2433.13,2403.3,2437.42],
['2013/2/6', 2432.68,2434.48,2427.7,2441.73],
['2013/2/7', 2430.69,2418.53,2394.22,2433.89],
['2013/2/8', 2416.62,2432.4,2414.4,2443.03],
['2013/2/18', 2441.91,2421.56,2415.43,2444.8],
['2013/2/19', 2420.26,2382.91,2373.53,2427.07],
['2013/2/20', 2383.49,2397.18,2370.61,2397.94],
['2013/2/21', 2378.82,2325.95,2309.17,2378.82],
['2013/2/22', 2322.94,2314.16,2308.76,2330.88],
['2013/2/25', 2320.62,2325.82,2315.01,2338.78],
['2013/2/26', 2313.74,2293.34,2289.89,2340.71],
['2013/2/27', 2297.77,2313.22,2292.03,2324.63],
['2013/2/28', 2322.32,2365.59,2308.92,2366.16],
['2013/3/1', 2364.54,2359.51,2330.86,2369.65],
['2013/3/4', 2332.08,2273.4,2259.25,2333.54],
['2013/3/5', 2274.81,2326.31,2270.1,2328.14],
['2013/3/6', 2333.61,2347.18,2321.6,2351.44],
['2013/3/7', 2340.44,2324.29,2304.27,2352.02],
['2013/3/8', 2326.42,2318.61,2314.59,2333.67],
['2013/3/11', 2314.68,2310.59,2296.58,2320.96],
['2013/3/12', 2309.16,2286.6,2264.83,2333.29],
['2013/3/13', 2282.17,2263.97,2253.25,2286.33],
['2013/3/14', 2255.77,2270.28,2253.31,2276.22],
['2013/3/15', 2269.31,2278.4,2250,2312.08],
['2013/3/18', 2267.29,2240.02,2239.21,2276.05],
['2013/3/19', 2244.26,2257.43,2232.02,2261.31],
['2013/3/20', 2257.74,2317.37,2257.42,2317.86],
['2013/3/21', 2318.21,2324.24,2311.6,2330.81],
['2013/3/22', 2321.4,2328.28,2314.97,2332],
['2013/3/25', 2334.74,2326.72,2319.91,2344.89],
['2013/3/26', 2318.58,2297.67,2281.12,2319.99],
['2013/3/27', 2299.38,2301.26,2289,2323.48],
['2013/3/28', 2273.55,2236.3,2232.91,2273.55],
['2013/3/29', 2238.49,2236.62,2228.81,2246.87],
['2013/4/1', 2229.46,2234.4,2227.31,2243.95],
['2013/4/2', 2234.9,2227.74,2220.44,2253.42],
['2013/4/3', 2232.69,2225.29,2217.25,2241.34],
['2013/4/8', 2196.24,2211.59,2180.67,2212.59],
['2013/4/9', 2215.47,2225.77,2215.47,2234.73],
['2013/4/10', 2224.93,2226.13,2212.56,2233.04],
['2013/4/11', 2236.98,2219.55,2217.26,2242.48],
['2013/4/12', 2218.09,2206.78,2204.44,2226.26],
['2013/4/15', 2199.91,2181.94,2177.39,2204.99],
['2013/4/16', 2169.63,2194.85,2165.78,2196.43],
['2013/4/17', 2195.03,2193.8,2178.47,2197.51],
['2013/4/18', 2181.82,2197.6,2175.44,2206.03],
['2013/4/19', 2201.12,2244.64,2200.58,2250.11],
['2013/4/22', 2236.4,2242.17,2232.26,2245.12],
['2013/4/23', 2242.62,2184.54,2182.81,2242.62],
['2013/4/24', 2187.35,2218.32,2184.11,2226.12],
['2013/4/25', 2213.19,2199.31,2191.85,2224.63],
['2013/4/26', 2203.89,2177.91,2173.86,2210.58],
['2013/5/2', 2170.78,2174.12,2161.14,2179.65],
['2013/5/3', 2179.05,2205.5,2179.05,2222.81],
['2013/5/6', 2212.5,2231.17,2212.5,2236.07],
['2013/5/7', 2227.86,2235.57,2219.44,2240.26],
['2013/5/8', 2242.39,2246.3,2235.42,2255.21],
['2013/5/9', 2246.96,2232.97,2221.38,2247.86],
['2013/5/10', 2228.82,2246.83,2225.81,2247.67],
['2013/5/13', 2247.68,2241.92,2231.36,2250.85],
['2013/5/14', 2238.9,2217.01,2205.87,2239.93],
['2013/5/15', 2217.09,2224.8,2213.58,2225.19],
['2013/5/16', 2221.34,2251.81,2210.77,2252.87],
['2013/5/17', 2249.81,2282.87,2248.41,2288.09],
['2013/5/20', 2286.33,2299.99,2281.9,2309.39],
['2013/5/21', 2297.11,2305.11,2290.12,2305.3],
['2013/5/22', 2303.75,2302.4,2292.43,2314.18],
['2013/5/23', 2293.81,2275.67,2274.1,2304.95],
['2013/5/24', 2281.45,2288.53,2270.25,2292.59],
['2013/5/27', 2286.66,2293.08,2283.94,2301.7],
['2013/5/28', 2293.4,2321.32,2281.47,2322.1],
['2013/5/29', 2323.54,2324.02,2321.17,2334.33],
['2013/5/30', 2316.25,2317.75,2310.49,2325.72],
['2013/5/31', 2320.74,2300.59,2299.37,2325.53],
['2013/6/3', 2300.21,2299.25,2294.11,2313.43],
['2013/6/4', 2297.1,2272.42,2264.76,2297.1],
['2013/6/5', 2270.71,2270.93,2260.87,2276.86],
['2013/6/6', 2264.43,2242.11,2240.07,2266.69],
['2013/6/7', 2242.26,2210.9,2205.07,2250.63],
['2013/6/13', 2190.1,2148.35,2126.22,2190.1]
]); function splitData(rawData) {
var categoryData = [];
var values = []
for (var i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0]);
values.push(rawData[i])
}
return {
categoryData: categoryData,
values: values
};
} function calculateMA(dayCount) {
var result = [];
for (var i = 0, len = data0.values.length; i < len; i++) {
if (i < dayCount) {
result.push('-');
continue;
}
var sum = 0;
for (var j = 0; j < dayCount; j++) {
sum += data0.values[i - j][1];
}
result.push(sum / dayCount);
}
return result;
} option = {
title: {
text: '上证指数',
left: 0
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'line'
}
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
},
grid: {
left: '10%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data0.categoryData,
scale: true,
boundaryGap : false,
axisLine: {onZero: false},
splitLine: {show: false},
splitNumber: 20,
min: 'dataMin',
max: 'dataMax'
},
yAxis: {
scale: true,
splitArea: {
show: true
}
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100
},
{
show: true,
type: 'slider',
y: '90%',
start: 50,
end: 100
}
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
markPoint: {
label: {
normal: {
formatter: function (param) {
return param != null ? Math.round(param.value) : '';
}
}
},
data: [
{
name: 'XX标点',
coord: ['2013/5/31', 2300],
value: 2300,
itemStyle: {
normal: {color: 'rgb(41,60,85)'}
}
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest'
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest'
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close'
}
],
tooltip: {
formatter: function (param) {
return param.name + '<br>' + (param.data.coord || '');
}
}
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
normal: {show: false},
emphasis: {show: false}
}
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
normal: {show: false},
emphasis: {show: false}
}
}
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close'
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close'
}
]
}
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
normal: {opacity: 0.5}
}
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
normal: {opacity: 0.5}
}
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
normal: {opacity: 0.5}
}
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
normal: {opacity: 0.5}
}
}, ]
}; // 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
2.效果
K线图的更多相关文章
- K线图学习
本博文(适合入门的股民朋友)内容来自网络,股市有风险,入市需谨慎 一.起源 K线图(Candlestick Charts)又称蜡烛图.日本线.阴阳线.棒线等,常用说法是“K线”,起源于日本十八世纪德川 ...
- [python]沪深龙虎榜数据导入通达信的自选板块，并标注于K线图上
将沪深龙虎榜数据导入通达信的自选板块,并标注于K线图上 原理:python读取前一次处理完的计算5日后涨跌幅输出的csv文件 文件名前加"[paint]" 安照通达信的画图文件和板 ...
- Wijmo金融图表系列之平均K线图&砖形图
2015年7月16日将会发布有史以来最令人兴奋的控件-Wijmo 金融图表,它的一体化设计为单个自定义集合提供了所有主要的金融图表,这是市场上的其他控件都不具备的独一无二的好处.它像Wijmo其他任意 ...
- Highcharts candlestick(K线图)案例
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8&quo ...
- 如何看K线图基础知识
在日K线图中一般白线.黄线.紫线.绿线依次分别表示:5.10.20.60日移动平均线,但这并不是固定的,会根据设置的不同而不同,比如你也可以在系统里把它们设为5.15.30.60均线. 你看K线图的上 ...
- 功能分解——Android下画分时图与k线图有感
最近工作极度繁忙,已经好久没有更新博客了,总感觉要是再不抽空总结总结点东西,分分钟就会被懒惰的状态给打到了.同时也希望同学们谨记,如果你已经决定要坚持某些正确的东西,比如背完某章单词,看一完本书抑或是 ...
- C#下如何用NPlot绘制期货股票K线图(3):设计要显示的股票价格图表窗口并定义相应类的成员及函数
[内容简介] 上一篇介绍了要显示K线图所需要的数据结构,及要动态显示K线图,需要动态读取数据文件必需的几个功能函数.本篇介绍要显示蜡烛图所用到的窗口界面设计及对应类定义.下面分述如下: [窗口界面] ...
- C#下如何用NPlot绘制期货股票K线图(2):读取数据文件让K线图自动更新
[内容介绍]上一篇介绍了K线图的基本绘制方法,但很不完善,本篇增加了它直接读取数据的功能,这对于金融市场的数据量大且又需要动态刷新功能的实现很重要. [实现方法] 1.需要一个数据文件,这里用的是直接 ...
- 股票K线图-JfreeChart版
http://blog.csdn.net/ami121/article/details/3953272 股票K线图-JfreeChart版 标签: jfreechartpropertiesapplet ...
- 利用JFreeChart绘制股票K线图完整解决方案
http://blog.sina.com.cn/s/blog_4ad042e50100q7d9.html 利用JFreeChart绘制股票K线图完整解决方案 (2011-04-30 13:27:17) ...
随机推荐
- python-面向对象（绑定方法与非绑定方法）
一.绑定方法: 绑定给谁就应该由谁来调用,谁来调用就会将谁当做第一个参数传入 1.绑定给对象的方法:类中定义的函数默认就是绑定给对象的,自动将对象当作第一个参数传入,类也可以调用,但是不会自动传值 2 ...
- 洛谷P3246 [HNOI2016]序列 [莫队]
传送门 思路 看到可离线.无修改.区间询问,相信一定可以想到莫队. 然而,莫队怎么转移是个大问题. 考虑\([l,r]\rightarrow[l,r+1]\)时答案会怎样变化?(左端点变化时同理) \ ...
- oracle存储大文本clob、blob
oracle存储大文本clob.blob 1 package cn.itcast.web.oracle.util; 2 3 import java.sql.Connection; 4 import j ...
- javaScript遍历对象、数组总结
javaScript遍历对象总结 1.使用Object.keys()遍历 返回一个数组,包括对象自身的(不含继承的)所有可枚举属性(不含Symbol属性). var obj = {'0':'a ...
- LeetCode（96）： 不同的二叉搜索树
Medium! 题目描述: 给定一个整数 n,求以 1 ... n 为节点组成的二叉搜索树有多少种? 示例: 输入: 3 输出: 5 解释: 给定 n = 3, 一共有 5 种不同结构的二叉搜索树: ...
- LeetCode（69）：x 的平方根
Easy! 题目描述: 实现 int sqrt(int x) 函数. 计算并返回 x 的平方根,其中 x 是非负整数. 由于返回类型是整数,结果只保留整数的部分,小数部分将被舍去. 示例 1: 输入: ...
- python网络爬虫笔记（八）
一.pthon 序列化json格式 1.将python内置对象转换成json 模块,dumps()方法返回的是一个str,内容是标准的JSON,dump()方法可以直接吧JSON写入一个file-li ...
- css中border画三角形
<!doctype html><html lang="en"> <head> <meta charset="UTF-8&quo ...
- hdu4966 最小树形图+虚根
/* 辛辛苦苦调试半天, 过了样例,竟然没有ac!! 网上对比了ac代码,感觉添加一个虚根就能ac 但是想不明白为什么 */ /* 第二天想了下,知道了为什么wa:因为从等级0连到其他课程等级i的不止 ...
- binlog2sql之MySQL数据闪回实践
DBA或开发人员,有时会误删或者误更新数据,如果是线上环境并且影响较大,就需要能快速回滚.传统恢复方法是利用备份重搭实例,再应用去除错误sql后的binlog来恢复数据.此法费时费力,甚至需要停机维护 ...