/
financial.html
161 lines (146 loc) · 4.08 KB
/
financial.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
<script src="../../../dist/Chart.min.js"></script>
<script src="../../utils.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:1000px">
<p>This example demonstrates a time series scale by drawing a financial line chart using just the core library. For more specific functionality for financial charts, please see <a href="https://github.com/chartjs/chartjs-chart-financial">chartjs-chart-financial</a></p>
<canvas id="chart1"></canvas>
</div>
<br>
<br>
Chart Type:
<select id="type">
<option value="line">Line</option>
<option value="bar">Bar</option>
</select>
<select id="unit">
<option value="second">Second</option>
<option value="minute">Minute</option>
<option value="hour">Hour</option>
<option value="day" selected>Day</option>
<option value="month">Month</option>
<option value="year">Year</option>
</select>
<button id="update">update</button>
<script>
function generateData() {
var unit = document.getElementById('unit').value;
function unitLessThanDay() {
return unit === 'second' || unit === 'minute' || unit === 'hour';
}
function beforeNineThirty(date) {
return date.hour() < 9 || (date.hour() === 9 && date.minute() < 30);
}
// Returns true if outside 9:30am-4pm on a weekday
function outsideMarketHours(date) {
if (date.isoWeekday() > 5) {
return true;
}
if (unitLessThanDay() && (beforeNineThirty(date) || date.hour() > 16)) {
return true;
}
return false;
}
function randomNumber(min, max) {
return Math.random() * (max - min) + min;
}
function randomBar(date, lastClose) {
var open = randomNumber(lastClose * 0.95, lastClose * 1.05).toFixed(2);
var close = randomNumber(open * 0.95, open * 1.05).toFixed(2);
return {
t: date.valueOf(),
y: close
};
}
var date = moment('Jan 01 1990', 'MMM DD YYYY');
var now = moment();
var data = [];
var lessThanDay = unitLessThanDay();
for (; data.length < 60 && date.isBefore(now); date = date.clone().add(1, unit).startOf(unit)) {
if (outsideMarketHours(date)) {
if (!lessThanDay || !beforeNineThirty(date)) {
date = date.clone().add(date.isoWeekday() >= 5 ? 8 - date.isoWeekday() : 1, 'day');
}
if (lessThanDay) {
date = date.hour(9).minute(30).second(0);
}
}
data.push(randomBar(date, data.length > 0 ? data[data.length - 1].y : 30));
}
return data;
}
var ctx = document.getElementById('chart1').getContext('2d');
ctx.canvas.width = 1000;
ctx.canvas.height = 300;
var color = Chart.helpers.color;
var cfg = {
type: 'bar',
data: {
datasets: [{
label: 'CHRT - Chart.js Corporation',
backgroundColor: color(window.chartColors.red).alpha(0.5).rgbString(),
borderColor: window.chartColors.red,
data: generateData(),
type: 'line',
pointRadius: 0,
fill: false,
lineTension: 0,
borderWidth: 2
}]
},
options: {
scales: {
xAxes: [{
type: 'time',
distribution: 'series',
ticks: {
source: 'data',
autoSkip: true
}
}],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'Closing price ($)'
}
}]
},
tooltips: {
intersect: false,
mode: 'index',
callbacks: {
label: function(tooltipItem, myData) {
var label = myData.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += ': ';
}
label += parseFloat(tooltipItem.value).toFixed(2);
return label;
}
}
}
}
};
var chart = new Chart(ctx, cfg);
document.getElementById('update').addEventListener('click', function() {
var type = document.getElementById('type').value;
var dataset = chart.config.data.datasets[0];
dataset.type = type;
dataset.data = generateData();
chart.update();
});
</script>
</body>
</html>