jqwidgets-framework
Version:
jQWidgets is an advanced Angular, Vue, Blazor, React, Web Components, jquery, ASP .NET MVC, Custom Elements and HTML5 UI framework.
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text/typescript
import { Component } from '@angular/core';
({
selector: 'app-root',
templateUrl: './app.component.html',
})
export class AppComponent {
months: string[] = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];
getWidth(): any {
if (document.body.offsetWidth < 850) {
return '90%';
}
return 850;
}
toolTipCustomFormatFn = (value: any, itemIndex: any, serie: any, group: any, categoryValue: any, categoryAxis: any) => {
const dataItem = this.dataAdapter.records[itemIndex];
const volume = dataItem.SPVolume;
return '<DIV style="text-align:left"><b>Date: ' +
categoryValue.getDate() + '-' + this.months[categoryValue.getMonth()] + '-' + categoryValue.getFullYear() +
'</b><br />Open price: $' + value.open +
'</b><br />Close price: $' + value.close +
'</b><br />Low price: $' + value.low +
'</b><br />High price: $' + value.high +
'</b><br />Daily volume: ' + volume +
'</DIV>';
};
source: any =
{
datatype: 'tsv',
datafields: [
{ name: 'Date' },
{ name: 'SPOpen' },
{ name: 'SPHigh' },
{ name: 'SPLow' },
{ name: 'SPClose' },
{ name: 'SPVolume' },
{ name: 'SPAdjClose' }
],
url: './../../../sampledata/nasdaq_vs_sp500_detailed.txt'
};
dataAdapter: any = new jqx.dataAdapter(this.source);
source2: any =
{
datatype: 'csv',
datafields: [
{ name: 'Date' },
{ name: 'S&P 500' },
{ name: 'NASDAQ' }
],
url: './../../../sampledata/nasdaq_vs_sp500.txt'
};
dataAdapter2: any = new jqx.dataAdapter(this.source2);
padding: any = { left: 5, top: 5, right: 5, bottom: 5 };
titlePadding: any = { left: 50, top: 0, right: 0, bottom: 10 };
xAxis: any =
{
dataField: 'Date',
formatFunction: (value: any) => {
return value.getDate() + '-' + this.months[value.getMonth()] + '\'' + value.getFullYear().toString().substring(2);
},
type: 'date',
valuesOnTicks: true,
minValue: new Date(2014, 0, 1),
maxValue: new Date(2014, 11, 1)
};
seriesGroups: any =
[
{
type: 'candlestick',
columnsMinWidth: 4,
//skipOverlappingPoints: false,
toolTipFormatFunction: this.toolTipCustomFormatFn,
valueAxis:
{
title: { text: 'S&P 500<br>' },
minValue: 1500
},
series: [
{
dataFieldClose: 'SPClose',
displayTextClose: 'S&P Close price',
dataFieldOpen: 'SPOpen',
displayTextOpen: 'S&P Open price',
dataFieldHigh: 'SPHigh',
displayTextHigh: 'S&P High price',
dataFieldLow: 'SPLow',
displayTextLow: 'S&P Low price',
displayText: 'S&P 500',
lineWidth: 1
}
]
},
{
type: 'line',
valueAxis:
{
position: 'right',
title: { text: '<br>Daily Volume' },
gridLines: { visible: false },
tickMarks: { visible: false },
labels: {
formatFunction: (value: any) => {
return value / 1000000 + 'M';
}
}
},
series: [
{
dataField: 'SPVolume',
displayText: 'Volume',
lineWidth: 1
}
]
}
]
xAxis2: any =
{
dataField: 'Date',
type: 'date',
baseUnit: 'month',
unitInterval: 1,
valuesOnTicks: true,
labels: {
formatFunction: (value: any) => {
return this.months[value.getMonth()];
}
},
toolTipFormatFunction: (value: any) => {
return value.getDate() + '-' + this.months[value.getMonth()] + '-' + value.getFullYear();
},
tickMarks: { visible: true, unitInterval: 1 },
gridLines: { visible: true, unitInterval: 3 }
};
seriesGroups2: any =
[
{
type: 'line',
valueAxis:
{
unitInterval: 500,
visible: true,
title: { text: 'Daily Closing Price' }
},
series: [
{ dataField: 'S&P 500', displayText: 'S&P 500' },
{ dataField: 'NASDAQ', displayText: 'NASDAQ' }
]
}
];
}