Exemplos de vários gráficos (os dados podem ser baixados como csv ou outras tabelas)

Chart
Data de criação: 2019-01-26 14:03:17 última modificação: 2019-07-03 16:13:56
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Um exemplo de exibição de vários gráficos, com várias linhas compartilhadas, que pode ser configurado para mostrar a largura do gráfico. Os gráficos básicos que suportam HighCharts e HighStocks, como gráficos de linha de flexão, gráficos de retângulo, gráficos de coluna, gráficos de bolo, gráficos de linha K, etc., podem ser usados com pequenas alterações para imitar este exemplo.

Código-fonte da estratégia
var tradeHistory = {buyData:{amount:0, money:0}, sellData:{amount:0, money:0}, a:0, b:0, c:0, d:0, total:0}
var updateB = 0
var lastNet = 0
var updateD = 0
if(_G('tradeHistory')){
    tradeHistory = _G('tradeHistory')
}
function getDepth(){
    var asks = []
    var bids = []
    var temp = 0
    var depth = JSON.parse(HttpQuery('https://api.binance.com/api/v1/depth?symbol=BTCUSDT'))
    if(!depth){
        return false
    }
    depth.bids.reverse()
    for(i=0;i<depth.bids.length;i++){
        temp += parseFloat(depth.bids[i][1])
    }
    for(i=0;i<depth.bids.length;i++){
        temp -= parseFloat(depth.bids[i][1])
        bids.push([parseFloat(depth.bids[i][0]), temp])
    }
    temp = 0
    for(i=0;i<depth.asks.length;i++){
        temp += parseFloat(depth.asks[i][1])
        asks.push([parseFloat(depth.asks[i][0]), temp])
    }
    return {asks:asks,bids:bids}
    
}
var chartA = {
    __isStock: false,
    extension: {
        layout: 'single',
        col: 6, // 指定宽度占的单元值, 总值 为12
        height: 500,
    },
    title: {
        text: '成交量分布图'
    },
    xAxis: [{
        title: { text: 'Data' },
        alignTicks: false
    }, {
        title: { text: 'Histogram' },
        alignTicks: false,
        opposite: true
    }],

    yAxis: [{
        title: { text: 'Data' }
    }, {
        title: { text: 'Histogram' },
        opposite: true
    }],

    series: [{
        name: 'Histogram',
        type: 'histogram',
        xAxis: 1,
        yAxis: 1,
        baseSeries: 's1',
        zIndex: -1
    },{
        name: 'Data',
        type: 'scatter',
        data: [],
        id: 's1',
        marker: {
            radius: 1.5
        }
    }]
};
var chartB = {
    extension: {
        layout: 'single', // 不参于分组,单独显示, 默认为分组 'group'
        col: 6,
        height: 300, // 指定高度
    },
    credits: {
        enabled: false
    },
    title: {
        text: '净买入资金'
    },
    xAxis: {
        type: 'datetime'
    },
    series: [{
        name: '净买入',
        type: 'column',
        data: []
    }],
}
var chartC = {
    extension: {
        layout: 'single', // 不参于分组,单独显示, 默认为分组 'group'
        col: 6,
        height: 300,      // 指定高度        // 指定宽度占的单元值, 总值 为12
    },
    title: {
        text: '成交价'
    },
    xAxis: {
        type: 'datetime'
    },
    series: [{
        name: 'last',
        data: [],
    }]
}
var chartD = {
    __isStock: false,
    extension: {
        layout: 'single', // 不参于分组,单独显示, 默认为分组 'group'
        col: 6,
        height: 500,      // 指定高度        // 指定宽度占的单元值, 总值 为12
    },
    chart: {
        type: 'area',
        zoomType: 'xy'
    },
    title: {
        text: 'BTC-USDT深度'
    },
    xAxis: {
        minPadding: 0,
        maxPadding: 0,
        plotLines: [{
            color: '#888',
            value: 0.1523,
            width: 1,
            label: {
                text: 'Actual price',
                rotation: 90
            }
        }],
        title: {
            text: 'Price'
        }
    },
    yAxis: [{
        min:0,
        lineWidth: 1,
        gridLineWidth: 1,
        title: null,
        tickWidth: 1,
        tickLength: 5,
        tickPosition: 'inside',
        labels: {
            align: 'left',
            x: 8
        }
    }, {
        opposite: true,
        linkedTo: 0,
        lineWidth: 1,
        gridLineWidth: 0,
        title: null,
        tickWidth: 1,
        tickLength: 5,
        tickPosition: 'inside',
        labels: {
            align: 'right',
            x: -8
        }
    }],
    plotOptions: {
        area: {
            fillOpacity: 0.2,
            lineWidth: 1,
            step: 'center'
        }
    },
    tooltip: {
        headerFormat: '<span style="font-size=10px;">Price: {point.key}</span><br/>',
        valueDecimals: 2
    },
    series: [{
        name: 'Bids',
        data: [],
        color: '#03a7a8'
    }, {
        name: 'Asks',
        data: [],
        color: '#fc5857'
    }]
};
var chartE = {
    __isStock: false,
    extension: {
        layout: 'single', // 不参于分组,单独显示, 默认为分组 'group'
        col: 6,
        height: 500,      // 指定高度        // 指定宽度占的单元值, 总值 为12
    },
    chart: {
        plotBackgroundColor: null,
        plotBorderWidth: 0,
        plotShadow: false
    },
    title: {
        text: '成交数量<br>分布<br>',
        align: 'center',
        verticalAlign: 'middle',
        y: 40
    },
    tooltip: {
        pointFormat: '{series.name}: <b>{point.percentage:.1f}%</b>'
    },
    plotOptions: {
        pie: {
            dataLabels: {
                enabled: true,
                distance: -50,
                style: {
                    fontWeight: 'bold',
                    color: 'white'
                }
            },
            startAngle: -90,
            endAngle: 90,
            center: ['50%', '75%'],
            size: '110%'
        }
    },
    series: [{
        type: 'pie',
        name: '占比',
        innerSize: '50%',
        data: []
    }]
}
var chartF = {
    extension: {
        layout: 'single', // 不参于分组,单独显示, 默认为分组 'group'
        col: 6,
        height: 300,      // 指定高度        // 指定宽度占的单元值, 总值 为12
    },
    title: {
        text: '总净买入'
    },
    xAxis: {
        type: 'datetime'
    },
    series: [{
        name: 'last',
        data: [],
    }]
}
var chart = Chart([chartB,chartC,chartD,chartA,chartF,chartE]);
//chart.reset()
function main() {
    var client = Dial("wss://stream.binance.com:9443/ws/" + 'btcusdt' + "@trade", 60)
    var updateTime = new Date().getTime()
    while(true){
        var trade = JSON.parse(client.read())
        if(trade.m){
            tradeHistory.sellData.amount += parseFloat(trade.q)
            tradeHistory.sellData.money += parseFloat(trade.q) * parseFloat(trade.p)
        }else{
            tradeHistory.buyData.amount += parseFloat(trade.q)
            tradeHistory.buyData.money += parseFloat(trade.q) * parseFloat(trade.p)
        }
        var buyNet = _N(tradeHistory.buyData.money - tradeHistory.sellData.money, 3)
        var tradeAmount = _N(parseFloat(trade.q),2)>1 ? 1 : _N(parseFloat(trade.q),2)
        if(parseFloat(trade.q)<0.01){
            tradeHistory.a += 1
        }else if(parseFloat(trade.q)<0.1){
            tradeHistory.b += 1
        }else if(parseFloat(trade.q)<1){
            tradeHistory.c += 1
        }else{
            tradeHistory.d += 1
        }
        tradeHistory.total +=1
        chartE.series[0].data = [
            ['小于0.01', _N(tradeHistory.a/tradeHistory.total,4)],
            ['小于0.1', _N(tradeHistory.b/tradeHistory.total,4)],
            ['小于1', _N(tradeHistory.c/tradeHistory.total,4)],
            ['大于1', _N(tradeHistory.d/tradeHistory.total,4)],
        ]
        if(tradeAmount>0.01){
            while(chartA.series[1].data.length>2000){
                chartA.series[1].data.shift()
            }
            chartA.series[1].data.push(tradeAmount)
        }
        if(Date.now() - updateB > 60*1000){
            chart.add(0,[Date.now(), _N(buyNet-lastNet,2)])
            lastNet = buyNet
            updateB = Date.now()
            chart.add(1, [Date.now(), _N(parseFloat(trade.p),2)])
            chart.add(6, [Date.now(), _N(buyNet,2)])
        }else{
            chart.add(0, [Date.now(), _N(buyNet-lastNet,2)], -1)
            chart.add(1, [Date.now(), _N(parseFloat(trade.p),2)], -1)
            chart.add(6, [Date.now(), _N(buyNet,2)],-1)
        }
        if(Date.now() - updateD > 6*1000){
            var depth = getDepth()
            if(!depth){
                continue
            }
            chartD.series[0].data = depth.bids
            chartD.series[1].data = depth.asks
            updateD = Date.now()
        }
        chart.update([chartB,chartC,chartD,chartA,chartF,chartE])
    }
        
}