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jqwidgets-framework

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jQWidgets is an advanced Angular, Vue, Blazor, React, Web Components, jquery, ASP .NET MVC, Custom Elements and HTML5 UI framework.

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import { Component } from '@angular/core'; @Component({ 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' } ] } ]; }