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vipg 010d65504a 新增行情查询、价差图表和 spread 分析表 
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-07-18 17:35:05 +08:00

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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>玻璃期货 spread 走势</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body { background: #0f172a; color: #e2e8f0; font-family: system-ui, sans-serif; padding: 24px; }
h1 { font-size: 20px; margin-bottom: 24px; color: #f1f5f9; }
.chart-box { background: #1e293b; border-radius: 12px; padding: 20px; }
canvas { width: 100% !important; height: auto !important; }
.stats { display: flex; gap: 24px; flex-wrap: wrap; margin-top: 24px; }
.stat { background: #1e293b; border-radius: 12px; padding: 16px 20px; min-width: 130px; }
.stat-label { font-size: 12px; color: #94a3b8; }
.stat-value { font-size: 22px; font-weight: 600; margin-top: 4px; }
.stat-value.pos { color: #22c55e; }
.stat-value.neg { color: #ef4444; }
</style>
</head>
<body>
<h1>玻璃期货 — 合约链差价 &amp; 主力合约日内涨跌</h1>
<div class="chart-box">
<canvas id="chart"></canvas>
</div>
<div class="stats" id="stats"></div>
<script>
const dates = ["20130222", "20130225", "20130226", "20130227", "20130228", "20130301", "20130304", "20130305", "20130306", "20130307", "20130308", "20130311", "20130312", "20130313", "20130314", "20130315", "20130318", "20130319", "20130320", "20130321", "20130322", "20130325", "20130326", "20130327", "20130328", "20130329", "20130401", "20130402", "20130403", "20130408", "20130409", "20130410", "20130411", "20130412", "20130415", "20130416", "20130417", "20130418", "20130419", "20130422", "20130423", "20130424", "20130425", "20130426", "20130502", "20130503", "20130506", "20130507", "20130508", "20130509", "20130510", "20130513", "20130514", "20130515", "20130516", "20130517", "20130520", "20130521", "20130522", "20130523", "20130524", "20130527", "20130528", "20130529", "20130530", "20130531", "20130603", "20130604", "20130605", "20130606", "20130607", "20130613", "20130614", "20130617", "20130618", "20130619", "20130620", "20130621", "20130624", "20130625", "20130626", "20130627", 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"20240927", "20240930", "20241008", "20241009", "20241010", "20241011", "20241014", "20241015", "20241016", "20241017", "20241018", "20241021", "20241022", "20241023", "20241024", "20241025", "20241028", "20241029", "20241030", "20241031", "20241101", "20241104", "20241105", "20241106", "20241107", "20241108", "20241111", "20241112", "20241113", "20241114", "20241115", "20241118", "20241119", "20241120", "20241121", "20241122", "20241125", "20241126", "20241127", "20241128", "20241129", "20241202", "20241203", "20241204", "20241205", "20241206", "20241209", "20241210", "20241211", "20241212", "20241213", "20241216", "20241217", "20241218", "20241219", "20241220", "20241223", "20241224", "20241225", "20241226", "20241227", "20241230", "20241231", "20250102", "20250103", "20250106", "20250107", "20250108", "20250109", "20250110", "20250113", "20250114", "20250115", "20250116", "20250117", "20250120", "20250121", "20250122", "20250123", "20250124", "20250127", "20250205", "20250206", "20250207", "20250210", "20250211", "20250212", "20250213", "20250214", "20250217", "20250218", "20250219", "20250220", "20250221", "20250224", "20250225", "20250226", "20250227", "20250228", "20250303", "20250304", "20250305", "20250306", "20250307", "20250310", "20250311", "20250312", "20250313", "20250314", "20250317", "20250318", "20250319", "20250320", "20250321", "20250324", "20250325", "20250326", "20250327", "20250328", "20250331", "20250401", "20250402", "20250403", "20250407", "20250408", "20250409", "20250410", "20250411", "20250414", "20250415", "20250416", "20250417", "20250418", "20250421", "20250422", "20250423", "20250424", "20250425", "20250428", "20250429", "20250430", "20250506", "20250507", "20250508", "20250509", "20250512", "20250513", "20250514", "20250515", "20250516", "20250519", "20250520", "20250521", "20250522", "20250523", "20250526", "20250527", "20250528", "20250529", "20250530", "20250603", "20250604", "20250605", "20250606", "20250609", "20250610", "20250611", "20250612", "20250613", "20250616", "20250617", "20250618", "20250619", "20250620", "20250623", "20250624", "20250625", "20250626", "20250627", "20250630", "20250701", "20250702", "20250703", "20250704", "20250707", "20250708", "20250709", "20250710", "20250711", "20250714", "20250715", "20250716", "20250717", "20250718", "20250721", "20250722", "20250723", "20250724", "20250725", "20250728", "20250729", "20250730", "20250731", "20250801", "20250804", "20250805", "20250806", "20250807", "20250808", "20250811", "20250812", "20250813", "20250814", "20250815", "20250818", "20250819", "20250820", "20250821", "20250822", "20250825", "20250826", "20250827", "20250828", "20250829", "20250901", "20250902", "20250903", "20250904", "20250905", "20250908", "20250909", "20250910", "20250911", "20250912", "20250915", "20250916", "20250917", "20250918", "20250919", "20250922", "20250923", "20250924", "20250925", "20250926", "20250929", "20250930", "20251009", "20251010", "20251013", "20251014", "20251015", "20251016", "20251017", "20251020", "20251021", "20251022", "20251023", "20251024", "20251027", "20251028", "20251029", "20251030", "20251031", "20251103", "20251104", "20251105", "20251106", "20251107", "20251110", "20251111", "20251112", "20251113", "20251114", "20251117", "20251118", "20251119", "20251120", "20251121", "20251124", "20251125", "20251126", "20251127", "20251128", "20251201", "20251202", "20251203", "20251204", "20251205", "20251208", "20251209", "20251210", "20251211", "20251212", "20251215", "20251216", "20251217", "20251218", "20251219", "20251222", "20251223", "20251224", "20251225", "20251226", "20251229", "20251230", "20251231", "20260105", "20260106", "20260107", "20260108", "20260109", "20260112", "20260113", "20260114", "20260115", "20260116", "20260119", "20260120", "20260121", "20260122", "20260123", "20260126", "20260127", "20260128", "20260129", "20260130", "20260202", "20260203", "20260204", "20260205", "20260206", "20260209", "20260210", "20260211", "20260212", "20260213", "20260224", "20260225", "20260226", "20260227", "20260302", "20260303", "20260304", "20260305", "20260306", "20260309", "20260310", "20260311", "20260312", "20260313", "20260316", "20260317", "20260318", "20260319", "20260320", "20260323", "20260324", "20260325", "20260326", "20260327", "20260330", "20260331", "20260401", "20260402", "20260403", "20260407", "20260408", "20260409", "20260410", "20260413", "20260414", "20260415", "20260416", "20260417", "20260420", "20260421", "20260422", "20260423", "20260424", "20260427", "20260428", "20260429", "20260430", "20260506", "20260507", "20260508", "20260511", "20260512", "20260513", "20260514", "20260515", "20260518", "20260519", "20260520", "20260521", "20260522", "20260525", "20260526", "20260527", "20260528", "20260529", "20260601", "20260602", "20260603", "20260604", "20260605", "20260608", "20260609", "20260610", "20260611", "20260612", "20260615", "20260616", "20260617", "20260618", "20260622", "20260623", "20260624", "20260625", "20260626", "20260629", "20260630", "20260701", "20260702", "20260703", "20260706", "20260707", "20260708", "20260709", "20260710", "20260713", "20260714", "20260715", "20260716", "20260717"];
const spreads = [-1.0, -2.0, -3.0, -3.0, 1.0, -5.0, -1.0, 0.0, 1.0, 1.0, 1.0, 4.0, 6.0, 4.0, 3.0, -1.0, 5.0, 8.0, 6.0, 7.0, 9.0, 5.0, 8.0, 8.0, 3.0, -2.0, 5.0, 3.0, 4.0, 4.0, 5.0, 3.0, 7.0, 5.0, 0.0, 1.0, -14.0, 8.0, 5.0, 8.0, 6.0, 15.0, 18.0, 12.0, -3.0, 10.0, 6.0, 2.0, 0.0, 0.0, -1.0, 5.0, 2.0, -7.0, 33.0, 35.0, 38.0, 36.0, 38.0, 39.0, 42.0, 40.0, 38.0, 39.0, 36.0, 40.0, 40.0, 42.0, 37.0, 33.0, 36.0, 31.0, 36.0, 39.0, 42.0, 39.0, 60.0, 69.0, 67.0, 62.0, 58.0, 61.0, 54.0, 49.0, 55.0, 41.0, 59.0, 52.0, 54.0, 61.0, 56.0, 60.0, 58.0, 92.0, 61.0, 71.0, 58.0, 59.0, 62.0, 60.0, 55.0, 58.0, 64.0, 60.0, 58.0, 53.0, 71.0, 54.0, 53.0, 54.0, 56.0, 35.0, 33.0, 68.0, 78.0, 55.0, 60.0, 55.0, 49.0, 56.0, 55.0, 58.0, 59.0, 52.0, 62.0, 63.0, 71.0, 63.0, 68.0, 71.0, 69.0, 73.0, 88.0, 71.0, 70.0, 67.0, 73.0, 62.0, 110.0, 88.0, 91.0, 91.0, 92.0, 90.0, 87.0, 91.0, 94.0, 84.0, 89.0, 88.0, 87.0, 83.0, 75.0, 69.0, 68.0, 67.0, 71.0, 66.0, 75.0, 78.0, 78.0, 72.0, 60.0, 75.0, 73.0, 79.0, 80.0, 83.0, 82.0, 83.0, 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new Chart(document.getElementById('chart'), {
type: 'bar',
data: {
labels: dates,
datasets: [
{
label: '主力日内涨跌',
data: chgs,
yAxisID: 'y1',
backgroundColor: chgs.map(v => v === null ? 'transparent' : v >= 0 ? 'rgba(34,197,94,0.35)' : 'rgba(239,68,68,0.35)'),
borderColor: chgs.map(v => v === null ? 'transparent' : v >= 0 ? '#22c55e' : '#ef4444'),
borderWidth: 0.3,
order: 2,
},
{
label: '差价合计',
data: spreads,
yAxisID: 'y',
type: 'line',
borderColor: '#facc15',
backgroundColor: 'rgba(250,204,21,0.06)',
borderWidth: 1.5,
pointRadius: 0,
fill: true,
tension: 0.1,
order: 1,
},
]
},
options: {
responsive: true,
interaction: { mode: 'index', intersect: false },
plugins: {
legend: { labels: { color: '#94a3b8', boxWidth: 14, padding: 16 } },
tooltip: {
backgroundColor: '#0f172a',
titleColor: '#f1f5f9',
bodyColor: '#e2e8f0',
borderColor: '#334155',
borderWidth: 1,
callbacks: {
label: ctx => ctx.parsed.y !== null && ctx.parsed.y !== undefined
? `${ctx.dataset.label}: ${ctx.parsed.y.toFixed(1)}` : ''
}
}
},
scales: {
x: { ticks: { color: '#64748b', maxTicksLimit: 20, font: { size: 10 } }, grid: { color: '#1e293b' } },
y: {
position: 'left',
ticks: { color: '#facc15' },
grid: { color: '#334155' },
title: { display: true, text: '差价合计（元/吨）', color: '#facc15' }
},
y1: {
position: 'right',
ticks: { color: '#94a3b8' },
grid: { drawOnChartArea: false },
title: { display: true, text: '主力日内涨跌（元/吨）', color: '#94a3b8' }
}
}
}
});
// 统计
const pos = spreads.filter(v => v > 0).length;
const neg = spreads.filter(v => v < 0).length;
const avg = spreads.reduce((a,b) => a+b, 0) / spreads.length;
const maxV = Math.max(...spreads);
const minV = Math.min(...spreads);
const totalChg = chgs.filter(v => v !== null).reduce((a,b) => a+b, 0);
const avgChg = totalChg / chgs.filter(v => v !== null).length;
const statsHtml = `
<div class="stat"><div class="stat-label">数据天数</div><div class="stat-value">${spreads.length}</div></div>
<div class="stat"><div class="stat-label">平均差价</div><div class="stat-value ${avg>=0?'pos':'neg'}">${avg.toFixed(1)}</div></div>
<div class="stat"><div class="stat-label">升水天数</div><div class="stat-value pos">${pos}</div></div>
<div class="stat"><div class="stat-label">贴水天数</div><div class="stat-value neg">${neg}</div></div>
<div class="stat"><div class="stat-label">最大升水</div><div class="stat-value pos">+${maxV.toFixed(1)}</div></div>
<div class="stat"><div class="stat-label">最大贴水</div><div class="stat-value neg">${minV.toFixed(1)}</div></div>
<div class="stat"><div class="stat-label">主力日均涨跌</div><div class="stat-value ${avgChg>=0?'pos':'neg'}">${avgChg.toFixed(2)}</div></div>
`;
document.getElementById('stats').innerHTML = statsHtml;
</script>
</body>
</html>
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