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【Web前端问题】echarts做的K线图上面的MA5 MA10等总是不出来,使用了两种数据,不同数据之间没有看出来差别

html部分

<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1,maximum-scale=1, user-scalable=no">
    <meta name="apple-mobile-web-app-capable" content="yes">
    <meta name="apple-mobile-web-app-status-bar-style" content="#B4E6FB">
    <title>行情</title>
</head>
<style type="text/css">
    body{margin: 0;padding: 0;}
    .Kline-div{
        position: fixed;width: 100%;
        bottom: 0rem;top: 0;
    }
    .Kline-div .m-line{height: 49%;width: 100%;margin-bottom: 1%;}
    .Kline-div .K-line{height: 50%;width: 100%;}
</style>
<body>
<div id="Kline-div" class="Kline-div">
    <div id="m-line" class="m-line"></div>
    <div id="k-content" class="K-line"></div>
</div>
<script src="__PUBLIC__/h5kline_js/jquery-3.3.1.min.js"></script>
<script src="__PUBLIC__/h5kline_js/echarts.min.js" type="text/javascript" charset="utf-8"></script>
<!--<script src="__PUBLIC__/h5kline_js/tmpData.js" type="text/javascript" charset="utf-8"></script>-->
<script src="__PUBLIC__/h5kline_js/k-line.js" type="text/javascript" charset="utf-8"></script>
<script>

    $.post("__MODULE__/Point/kline2",{},function(data,status){

        var kdata=data;
        var kChart = echarts.init(document.getElementById('k-content'));
        kChart.setOption(initKOption(kdata));

    });



</script>
</body>
</html>

//数据模型 time0 open1 close2 min3 max4 vol5 tag6 macd7 dif8 dea9
//[‘2015-10-19’,18.56,18.25,18.19,18.56,55.00,0,-0.00,0.08,0.09]
//K线数据 tag6 macd7 dif8 dea9 这些数据可以不需要

数据部分第一种 不显示MA5等等

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"1645.25",
"1656.33",
26,
2,
1,
2,
1
],
[
"2019-08-31",
"1653.65",
"1653.06",
"1650.41",
"1654.33",
30,
1,
2,
2,
2
],
[
"2019-09-01",
"1655.42",
"1666.51",
"1655.42",
"1666.99",
30,
1,
2,
1,
2
],
[
"2019-09-02",
"1666.51",
"1669.84",
"1664.28",
"1670.72",
89,
1,
2,
2,
2
],
[
"2019-09-03",
"1671.75",
"1677.90",
"1671.75",
"1680.76",
26,
1,
1,
2,
1
],
[
"2019-09-04",
"1677.90",
"1674.71",
"1674.71",
"1680.80",
49,
1,
2,
1,
1
],
[
"2019-09-05",
"1674.71",
"1665.76",
"1659.96",
"1674.71",
43,
1,
2,
2,
1
],
[
"2019-09-06",
"1666.25",
"1674.42",
"1666.25",
"1675.53",
42,
2,
2,
1,
2
],
[
"2019-09-07",
"1674.42",
"1674.03",
"1670.91",
"1675.83",
69,
2,
1,
2,
2
],
[
"2019-09-08",
"1672.17",
"1674.05",
"1669.67",
"1674.05",
87,
2,
1,
2,
1
],
[
"2019-09-09",
"1671.07",
"1666.90",
"1661.59",
"1671.07",
28,
2,
1,
1,
2
],
[
"2019-09-10",
"1669.37",
"1672.87",
"1668.40",
"1673.35",
69,
1,
2,
1,
2
],
[
"2019-09-11",
"1673.36",
"1678.11",
"1670.64",
"1678.11",
83,
2,
2,
1,
1
],
[
"2019-09-12",
"1678.11",
"1682.45",
"1678.11",
"1685.80",
42,
2,
1,
2,
1
],
[
"2019-09-13",
"1682.45",
"1687.85",
"1681.33",
"1687.85",
53,
1,
1,
1,
1
],
[
"2019-09-14",
"1685.05",
"1679.40",
"1679.40",
"1685.67",
46,
1,
2,
2,
2
],
[
"2019-09-15",
"1679.40",
"1684.37",
"1679.40",
"1684.37",
35,
2,
1,
1,
2
],
[
"2019-09-16",
"1684.37",
"1682.97",
"1678.49",
"1685.63",
91,
1,
2,
2,
2
],
[
"2019-09-17",
"1684.19",
"1680.97",
"1680.97",
"1690.70",
65,
1,
2,
2,
2
],
[
"2019-09-18",
"1680.97",
"1677.28",
"1674.45",
"1683.83",
51,
1,
1,
2,
1
],
[
"2019-09-19",
"1678.37",
"1673.22",
"1673.22",
"1681.99",
95,
2,
1,
2,
1
],
[
"2019-09-20",
"1673.22",
"1675.73",
"1671.73",
"1677.38",
52,
1,
1,
1,
2
],
[
"2019-09-21",
"1675.73",
"1678.28",
"1672.84",
"1678.28",
52,
2,
1,
1,
2
],
[
"2019-09-22",
"1676.45",
"1661.14",
"1661.14",
"1676.48",
42,
2,
2,
2,
2
],
[
"2019-09-23",
"1660.73",
"1659.13",
"1653.09",
"1660.73",
67,
2,
2,
2,
1
],
[
"2019-09-24",
"1656.13",
"1662.13",
"1649.41",
"1662.13",
21,
1,
1,
1,
1
],
[
"2019-09-25",
"1662.13",
"1649.86",
"1649.39",
"1662.13",
42,
2,
2,
2,
1
],
[
"2019-09-26",
"1649.86",
"1648.31",
"1646.59",
"1655.12",
96,
2,
2,
1,
2
],
[
"2019-09-27",
"1648.31",
"1644.10",
"1644.10",
"1650.92",
40,
1,
2,
1,
2
],
[
"2019-09-28",
"1644.10",
"1651.41",
"1643.19",
"1651.97",
58,
2,
1,
2,
2
],
[
"2019-09-29",
"1650.05",
"1644.88",
"1641.97",
"1650.05",
21,
2,
1,
1,
1
],
[
"2019-09-30",
"1644.88",
"1639.10",
"1638.94",
"1645.47",
90,
2,
2,
1,
1
],
[
"2019-10-01",
"1639.10",
"1640.02",
"1637.02",
"1641.72",
62,
1,
2,
2,
2
],
[
"2019-10-02",
"1640.62",
"1644.07",
"1636.11",
"1644.07",
100,
2,
1,
1,
2
],
[
"2019-10-03",
"1644.07",
"1645.52",
"1644.07",
"1648.32",
98,
1,
1,
1,
1
],
[
"2019-10-04",
"1643.17",
"1645.16",
"1642.48",
"1646.49",
22,
1,
1,
2,
1
],
[
"2019-10-05",
"1646.36",
"1639.20",
"1639.20",
"1646.36",
60,
1,
1,
2,
2
],
[
"2019-10-06",
"1637.38",
"1638.36",
"1636.33",
"1640.25",
42,
1,
1,
2,
2
],
[
"2019-10-07",
"1638.36",
"1642.23",
"1633.73",
"1642.23",
100,
2,
1,
1,
1
],
[
"2019-10-08",
"1643.69",
"1647.64",
"1643.69",
"1653.17",
90,
2,
2,
2,
1
],
[
"2019-10-09",
"1647.64",
"1646.91",
"1641.23",
"1647.64",
82,
2,
2,
2,
2
],
[
"2019-10-10",
"1646.91",
"1649.27",
"1640.88",
"1649.27",
64,
2,
1,
1,
2
],
[
"2019-10-11",
"1649.27",
"1644.34",
"1642.42",
"1651.04",
53,
1,
1,
1,
1
],
[
"2019-10-12",
"1644.34",
"1645.93",
"1642.46",
"1647.02",
50,
2,
2,
1,
1
],
[
"2019-10-13",
"1645.93",
"1636.36",
"1634.74",
"1646.21",
54,
1,
2,
2,
1
],
[
"2019-10-14",
"1636.36",
"1639.62",
"1633.21",
"1639.62",
62,
1,
2,
1,
2
],
[
"2019-10-15",
"1639.62",
"1641.06",
"1635.68",
"1642.73",
26,
1,
1,
1,
1
],
[
"2019-10-16",
"1641.06",
"1638.26",
"1637.37",
"1641.06",
21,
1,
1,
2,
2
],
[
"2019-10-17",
"1639.69",
"1639.03",
"1639.03",
"1645.41",
25,
1,
1,
1,
2
],
[
"2019-10-18",
"1636.64",
"1637.35",
"1635.44",
"1638.60",
55,
1,
1,
1,
1
],
[
"2019-10-19",
"1637.35",
"1643.20",
"1635.55",
"1643.20",
47,
1,
2,
1,
1
],
[
"2019-10-20",
"1643.20",
"1647.96",
"1643.20",
"1650.56",
80,
2,
1,
2,
2
],
[
"2019-10-21",
"1647.96",
"1644.59",
"1644.59",
"1648.21",
84,
1,
1,
2,
1
],
[
"2019-10-22",
"1647.06",
"1645.72",
"1644.59",
"1647.06",
100,
1,
2,
2,
1
],
[
"2019-10-23",
"1645.72",
"1643.21",
"1642.62",
"1645.72",
23,
2,
2,
1,
2
],
[
"2019-10-24",
"1644.56",
"1646.02",
"1644.56",
"1646.02",
24,
1,
1,
2,
2
],
[
"2019-10-25",
"1645.73",
"1640.36",
"1640.36",
"1648.81",
34,
1,
1,
2,
1
],
[
"2019-10-26",
"1640.36",
"1639.45",
"1639.45",
"1646.59",
53,
2,
1,
1,
1
],
[
"2019-10-27",
"1639.45",
"1647.53",
"1639.45",
"1651.66",
61,
2,
1,
1,
2
],
[
"2019-10-28",
1647.58,
1638.65,
1635.81,
1647.58,
92,
1,
1,
2,
1
]
]

第二个数据接口返回是可以的
如下

[
[
"2015-10-16",
18.4,
18.58,
18.33,
18.79,
67,
1,
0.04,
0.11,
0.09
],
[
"2015-10-19",
18.56,
18.25,
18.19,
18.56,
55,
0,
0,
0.08,
0.09
],
[
"2015-10-20",
18.3,
18.22,
18.05,
18.41,
37,
0,
0.01,
0.09,
0.09
],
[
"2015-10-21",
18.18,
18.69,
18.02,
18.98,
89,
0,
0.03,
0.1,
0.08
],
[
"2015-10-22",
18.42,
18.29,
18.22,
18.48,
43,
0,
-0.06,
0.05,
0.08
],
[
"2015-10-23",
18.26,
18.19,
18.08,
18.36,
46,
0,
-0.1,
0.03,
0.09
],
[
"2015-10-26",
18.33,
18.07,
17.98,
18.35,
65,
0,
-0.15,
0.03,
0.1
],
[
"2015-10-27",
18.08,
18.04,
17.88,
18.13,
37,
0,
-0.19,
0.03,
0.12
],
[
"2015-10-28",
17.96,
17.86,
17.82,
17.99,
35,
0,
-0.24,
0.03,
0.15
],
[
"2015-10-29",
17.85,
17.81,
17.8,
17.93,
27,
0,
-0.24,
0.06,
0.18
],
[
"2015-10-30",
17.79,
17.93,
17.78,
18.08,
43,
0,
-0.22,
0.11,
0.22
],
[
"2015-11-02",
17.78,
17.83,
17.78,
18.04,
27,
0,
-0.2,
0.15,
0.25
],
[
"2015-11-03",
17.84,
17.9,
17.84,
18.06,
34,
0,
-0.12,
0.22,
0.28
],
[
"2015-11-04",
17.97,
18.36,
17.85,
18.39,
62,
0,
0,
0.3,
0.3
],
[
"2015-11-05",
18.3,
18.57,
18.18,
19.08,
177,
0,
0.07,
0.33,
0.3
],
[
"2015-11-06",
18.53,
18.68,
18.3,
18.71,
95,
0,
0.12,
0.35,
0.29
],
[
"2015-11-09",
18.75,
19.08,
18.75,
19.98,
202,
1,
0.16,
0.35,
0.27
],
[
"2015-11-10",
18.85,
18.64,
18.56,
18.99,
85,
0,
0.09,
0.29,
0.25
],
[
"2015-11-11",
18.64,
18.44,
18.31,
18.64,
50,
0,
0.06,
0.27,
0.23
],
[
"2015-11-12",
18.55,
18.27,
18.17,
18.57,
43,
0,
0.05,
0.25,
0.23
],
[
"2015-11-13",
18.13,
18.14,
18.09,
18.34,
35,
0,
0.05,
0.24,
0.22
],
[
"2015-11-16",
18.01,
18.1,
17.93,
18.17,
34,
0,
0.07,
0.25,
0.21
],
[
"2015-11-17",
18.2,
18.14,
18.08,
18.45,
58,
0,
0.11,
0.25,
0.2
],
[
"2015-11-18",
18.23,
18.16,
18,
18.45,
47,
0,
0.13,
0.25,
0.19
],
[
"2015-11-19",
18.08,
18.2,
18.05,
18.25,
32,
0,
0.15,
0.24,
0.17
],
[
"2015-11-20",
18.15,
18.15,
18.11,
18.29,
36,
0,
0.13,
0.21,
0.15
],
[
"2015-11-23",
18.16,
18.19,
18.12,
18.34,
47,
0,
0.11,
0.18,
0.13
],
[
"2015-11-24",
18.23,
17.88,
17.7,
18.23,
62,
0,
0.03,
0.13,
0.11
],
[
"2015-11-25",
17.85,
17.73,
17.56,
17.85,
66,
0,
-0.03,
0.09,
0.11
],
[
"2015-11-26",
17.79,
17.53,
17.5,
17.92,
63,
0,
-0.1,
0.06,
0.11
],
[
"2015-11-27",
17.51,
17.04,
16.9,
17.51,
67,
0,
-0.16,
0.05,
0.13
],
[
"2015-11-30",
17.07,
17.2,
16.98,
17.32,
55,
0,
-0.12,
0.09,
0.15
],
[
"2015-12-01",
17.28,
17.11,
16.91,
17.28,
39,
0,
-0.09,
0.12,
0.16
],
[
"2015-12-02",
17.13,
17.91,
17.05,
17.99,
102,
0,
-0.01,
0.17,
0.18
],
[
"2015-12-03",
17.8,
17.78,
17.61,
17.98,
71,
0,
-0.09,
0.14,
0.18
],
[
"2015-12-04",
17.6,
17.25,
17.13,
17.69,
51,
0,
-0.18,
0.1,
0.19
],
[
"2015-12-07",
17.2,
17.39,
17.15,
17.45,
43,
0,
-0.19,
0.12,
0.22
],
[
"2015-12-08",
17.3,
17.42,
17.18,
17.62,
45,
0,
-0.23,
0.13,
0.24
],
[
"2015-12-09",
17.33,
17.39,
17.32,
17.59,
44,
0,
-0.29,
0.13,
0.28
],
[
"2015-12-10",
17.39,
17.26,
17.21,
17.65,
44,
0,
-0.37,
0.13,
0.32
],
[
"2015-12-11",
17.23,
16.92,
16.66,
17.26,
114,
1,
-0.44,
0.15,
0.37
],
[
"2015-12-14",
16.75,
17.06,
16.5,
17.09,
94,
0,
-0.44,
0.21,
0.44
],
[
"2015-12-15",
17.03,
17.03,
16.9,
17.06,
46,
0,
-0.44,
0.28,
0.5
],
[
"2015-12-16",
17.08,
16.96,
16.87,
17.09,
30,
0,
-0.4,
0.36,
0.56
],
[
"2015-12-17",
17,
17.1,
16.95,
17.12,
50,
0,
-0.3,
0.47,
0.62
],
[
"2015-12-18",
17.09,
17.52,
17.04,
18.06,
156,
0,
-0.14,
0.59,
0.66
],
[
"2015-12-21",
17.43,
18.23,
17.35,
18.45,
152,
1,
0.02,
0.69,
0.68
],
[
"2015-12-22",
18.14,
18.27,
18.06,
18.32,
94,
0,
0.08,
0.72,
0.68
],
[
"2015-12-23",
18.28,
18.19,
18.17,
18.71,
108,
0,
0.13,
0.73,
0.67
],
[
"2015-12-24",
18.18,
18.14,
18.01,
18.31,
37,
0,
0.19,
0.74,
0.65
],
[
"2015-12-25",
18.22,
18.33,
18.2,
18.36,
48,
0,
0.26,
0.75,
0.62
],
[
"2015-12-28",
18.35,
17.84,
17.8,
18.39,
48,
0,
0.27,
0.72,
0.59
],
[
"2015-12-29",
17.83,
17.94,
17.71,
17.97,
36,
0,
0.36,
0.73,
0.55
],
[
"2015-12-30",
17.9,
18.26,
17.55,
18.3,
71,
1,
0.43,
0.71,
0.5
],
[
"2015-12-31",
18.12,
17.99,
17.91,
18.33,
72,
0,
0.4,
0.63,
0.43
],
[
"2016-01-04",
17.91,
17.28,
17.16,
17.95,
37,
1,
0.34,
0.55,
0.38
],
[
"2016-01-05",
17.17,
17.23,
17,
17.55,
51,
0,
0.37,
0.51,
0.33
],
[
"2016-01-06",
17.2,
17.31,
17.06,
17.33,
31,
0,
0.37,
0.46,
0.28
],
[
"2016-01-07",
17.15,
16.67,
16.51,
17.15,
19,
0,
0.3,
0.37,
0.22
],
[
"2016-01-08",
16.8,
16.81,
16.61,
17.06,
60,
0,
0.29,
0.32,
0.18
],
[
"2016-01-11",
16.68,
16.04,
16,
16.68,
65,
0,
0.2,
0.24,
0.14
],
[
"2016-01-12",
16.03,
15.98,
15.88,
16.25,
46,
0,
0.2,
0.21,
0.11
],
[
"2016-01-13",
16.21,
15.87,
15.78,
16.21,
57,
0,
0.2,
0.18,
0.08
],
[
"2016-01-14",
15.55,
15.89,
15.52,
15.96,
42,
0,
0.2,
0.16,
0.05
],
[
"2016-01-15",
15.87,
15.48,
15.45,
15.92,
34,
1,
0.17,
0.11,
0.02
],
[
"2016-01-18",
15.39,
15.42,
15.36,
15.7,
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clipboard.png

回答:

你可以试下HQChart, 自带指标计算模块, 只需要接入日线就可以了。
代码是完全开源的
https://github.com/jones2000/…

本文地址:H5W3 » 【Web前端问题】echarts做的K线图上面的MA5 MA10等总是不出来,使用了两种数据,不同数据之间没有看出来差别

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