alpha-factor-lab/factor-backtest.html at main · FinStep-AI/alpha-factor-lab · GitHub

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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Alpha Factor Lab — 因子研究库</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3.0.0/dist/chartjs-adapter-date-fns.bundle.min.js"></script>
<style>
  :root {
    --bg: #0f1117; --card: #1a1d29; --border: #2a2d3a;
    --text: #e4e6eb; --text2: #8b8fa3; --accent: #4f8cff;
    --green: #22c55e; --red: #ef4444; --orange: #f59e0b; --purple: #a855f7;
  }
  * { margin:0; padding:0; box-sizing:border-box; }
  body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: var(--bg); color: var(--text); line-height: 1.6; }
  .container { max-width: 1200px; margin: 0 auto; padding: 20px; }
  .header { text-align:center; padding:40px 0 30px; border-bottom:1px solid var(--border); margin-bottom:30px; }
  .header h1 { font-size:2rem; background:linear-gradient(135deg,var(--accent),var(--purple)); -webkit-background-clip:text; -webkit-text-fill-color:transparent; margin-bottom:8px; }
  .header p { color:var(--text2); font-size:0.95rem; }
  .nav-links { margin-top:12px; }
  .nav-links a { margin:0 8px; padding:6px 16px; border:1px solid var(--border); border-radius:8px; font-size:0.85rem; color:var(--accent); text-decoration:none; transition:all .2s; }
  .nav-links a:hover { border-color:var(--accent); background:rgba(79,140,255,.05); }
  .nav-links a.active { border-color:var(--accent); background:rgba(79,140,255,.1); }
  .stats-bar { display:flex; justify-content:center; gap:40px; margin-top:20px; }
  .stat { text-align:center; }
  .stat .num { font-size:1.8rem; font-weight:700; color:var(--accent); }
  .stat .label { font-size:0.8rem; color:var(--text2); text-transform:uppercase; }
  .loading { text-align:center; padding:60px 0; color:var(--text2); }
  .loading .spinner { display:inline-block; width:40px; height:40px; border:3px solid var(--border); border-top-color:var(--accent); border-radius:50%; animation:spin 0.8s linear infinite; margin-bottom:16px; }
  @keyframes spin { to { transform: rotate(360deg); } }
  .factor-list { display:flex; flex-direction:column; gap:16px; margin-bottom:30px; }
  .factor-card { background:var(--card); border:1px solid var(--border); border-radius:12px; padding:24px; cursor:pointer; transition:all 0.2s; }
  .factor-card:hover { border-color:var(--accent); transform:translateY(-2px); box-shadow:0 8px 25px rgba(79,140,255,0.1); }
  .factor-card.active { border-color:var(--accent); box-shadow:0 0 0 1px var(--accent); }
  .card-top { display:flex; justify-content:space-between; align-items:flex-start; margin-bottom:12px; }
  .card-title { font-size:1.2rem; font-weight:600; }
  .card-title .en { font-size:0.85rem; color:var(--text2); font-weight:400; margin-left:8px; }
  .badge { display:inline-block; padding:3px 10px; border-radius:20px; font-size:0.75rem; font-weight:600; }
  .badge-weak { background:rgba(239,68,68,0.15); color:var(--red); }
  .badge-moderate { background:rgba(245,158,11,0.15); color:var(--orange); }
  .badge-strong { background:rgba(34,197,94,0.15); color:var(--green); }
  .badge-warn { background:rgba(245,158,11,0.15); color:var(--orange); }
  .card-meta { display:flex; flex-wrap:wrap; gap:16px; font-size:0.85rem; color:var(--text2); margin-bottom:12px; }
  .card-desc { color:var(--text2); font-size:0.9rem; }
  .metric-pills { display:flex; flex-wrap:wrap; gap:8px; margin-top:12px; }
  .pill { background:rgba(79,140,255,0.1); border:1px solid rgba(79,140,255,0.2); padding:4px 12px; border-radius:8px; font-size:0.8rem; }
  .pill .val { color:var(--accent); font-weight:600; margin-left:4px; }
  .pill.neg .val { color:var(--red); }
  .pill.pos .val { color:var(--green); }
  .detail-panel { display:none; background:var(--card); border:1px solid var(--border); border-radius:12px; padding:30px; margin-bottom:30px; animation:fadeIn 0.3s; }
  .detail-panel.show { display:block; }
  @keyframes fadeIn { from{opacity:0;transform:translateY(10px)} to{opacity:1;transform:translateY(0)} }
  .detail-section { margin-bottom:28px; padding-bottom:24px; border-bottom:1px solid var(--border); }
  .detail-section:last-child { border-bottom:none; margin-bottom:0; padding-bottom:0; }
  .detail-section h3 { font-size:1rem; color:var(--accent); margin-bottom:12px; }
  .formula-box { background:#12141e; border:1px solid var(--border); border-radius:8px; padding:16px 20px; font-family:'SF Mono','Fira Code',monospace; font-size:0.9rem; white-space:pre-wrap; line-height:1.8; }
  .metrics-grid { display:grid; grid-template-columns:repeat(auto-fill,minmax(160px,1fr)); gap:12px; }
  .metric-box { background:#12141e; border-radius:8px; padding:14px 16px; text-align:center; }
  .metric-box .label { font-size:0.75rem; color:var(--text2); margin-bottom:4px; }
  .metric-box .value { font-size:1.3rem; font-weight:700; }
  .metric-box .value.good { color:var(--green); }
  .metric-box .value.bad { color:var(--red); }
  .metric-box .value.neutral { color:var(--orange); }
  .quintile-table { width:100%; border-collapse:collapse; font-size:0.85rem; }
  .quintile-table th,.quintile-table td { padding:10px 14px; text-align:center; border-bottom:1px solid var(--border); }
  .quintile-table th { color:var(--text2); font-weight:600; font-size:0.8rem; }
  .chart-container { position:relative; height:350px; margin:16px 0; }
  .chart-tabs { display:flex; gap:8px; margin-bottom:16px; }
  .chart-tab { padding:6px 16px; border-radius:8px; border:1px solid var(--border); background:transparent; color:var(--text2); cursor:pointer; font-size:0.85rem; transition:all 0.2s; }
  .chart-tab:hover { border-color:var(--accent); color:var(--text); }
  .chart-tab.active { background:var(--accent); color:#fff; border-color:var(--accent); }
  .conclusion-box { background:rgba(79,140,255,0.05); border-left:3px solid var(--accent); border-radius:0 8px 8px 0; padding:16px 20px; font-size:0.9rem; }
  .lessons { margin-top:12px; padding-left:20px; }
  .lessons li { color:var(--text2); font-size:0.85rem; margin-bottom:6px; }
  .close-btn { float:right; background:none; border:1px solid var(--border); color:var(--text2); width:32px; height:32px; border-radius:8px; cursor:pointer; font-size:1.1rem; display:flex; align-items:center; justify-content:center; }
  .close-btn:hover { border-color:var(--red); color:var(--red); }
  .footer { text-align:center; padding:30px 0; color:var(--text2); font-size:0.8rem; border-top:1px solid var(--border); }
  .topnav { display:flex; justify-content:center; gap:24px; padding:14px 20px; background:rgba(26,29,41,0.95); border-bottom:1px solid var(--border); position:sticky; top:0; z-index:100; backdrop-filter:blur(8px); }
  .topnav a { color:var(--text2); text-decoration:none; font-size:0.85rem; font-weight:500; transition:color 0.2s; }
  .topnav a:hover { color:var(--text); }
  .topnav a.active { color:var(--accent); pointer-events:none; }
</style>
</head>
<body>
<div class="container">
  <div class="topnav">
    <a href="index.html">首页</a>
    <a href="paper-trading.html">竞赛</a>
    <a href="quant-lab.html">因子猎人</a>
    <a href="research.html">投研报告</a>
  </div>
  <div class="header">
    <h1>📊 Alpha Factor Lab</h1>
    <p>量化因子研究库 — 赛博巴菲特出品</p>
    <div class="stats-bar" id="statsBar"></div>
  </div>
  <div id="loadingIndicator" class="loading">
    <div class="spinner"></div>
    <p>正在加载因子数据...</p>
  </div>
  <div class="detail-panel" id="detailPanel"></div>
  <div class="factor-list" id="factorList"></div>
  <div class="footer">Alpha Factor Lab · Powered by 赛博巴菲特 · 数据仅供研究参考，不构成投资建议</div>
</div>
<script>
/* ====================== CONFIG ====================== */
let FACTORS = [];
const navDataCache = {};  // id -> normalized nav data
const icDataCache = {};   // id -> normalized ic data

const Q_COLORS = ['rgba(214,39,40,0.85)','rgba(255,127,14,0.85)','rgba(188,189,34,0.85)','rgba(44,160,44,0.85)','rgba(31,119,180,0.85)','rgba(148,103,189,0.85)'];
let navChart = null, icChart = null;

/* ====================== HELPERS ====================== */
function pct(v, d=2) { return v==null || isNaN(v) ? 'N/A' : (v*100).toFixed(d)+'%'; }
function num(v, d=4) { return v==null || isNaN(v) ? 'N/A' : v.toFixed(d); }
function rBadge(r) {
  if (!r) return '';
  const cls = r.includes('较弱') || r.includes('☆☆☆') || r.includes('无效') ? 'weak'
    : r.includes('不足') || r.includes('异常') ? 'warn'
    : r.includes('★★★') || r.includes('较强') ? 'strong' : 'moderate';
  return `<span class="badge badge-${cls}">${r}</span>`;
}

/* ====================== DATA LOADING ====================== */
async function loadFactors() {
  try {
    const resp = await fetch('factors.json?v=' + Date.now());
    FACTORS = await resp.json();
  } catch (e) {
    console.error('Failed to load factors.json:', e);
    document.getElementById('loadingIndicator').innerHTML =
      '<p style="color:var(--red)">❌ 无法加载 factors.json</p>';
    return;
  }
  document.getElementById('loadingIndicator').style.display = 'none';
  renderStats();
  renderList();
}

/* Normalize NAV data from two possible formats:
   Format A (old): { dates: [], series: { group_1..group_5, long_short } }
   Format B (new): { dates: [], groups: { "0".."4": [] }, long_short: [] }
   -> unified: { dates: [], series: { group_1..group_N, long_short } }
*/
function normalizeNavData(raw) {
  if (raw.series) return raw;  // Already format A
  const result = { dates: raw.dates, series: {} };
  if (raw.groups) {
    const keys = Object.keys(raw.groups).sort((a,b) => parseInt(a) - parseInt(b));
    keys.forEach((k, i) => { result.series[`group_${i+1}`] = raw.groups[k]; });
  }
  if (raw.long_short) result.series.long_short = raw.long_short;
  return result;
}

/* Normalize IC data from two possible formats:
   Format A (old): { dates: [], ic: [], rank_ic: [] }
   Format B (new): [ { date: "...", ic: ... }, ... ]
   -> unified: { dates: [], ic: [], rank_ic: [] }
*/
function normalizeIcData(raw) {
  if (Array.isArray(raw)) {
    return {
      dates: raw.map(r => r.date),
      ic: raw.map(r => r.ic),
      rank_ic: raw.map(r => r.rank_ic || 0)
    };
  }
  return raw;  // Already format A
}

async function loadNavData(factor) {
  const id = factor.id;
  if (navDataCache[id]) return navDataCache[id];
  const path = factor.nav_data;
  if (!path) return null;
  try {
    const resp = await fetch(path);
    if (!resp.ok) return null;
    const raw = await resp.json();
    navDataCache[id] = normalizeNavData(raw);
    return navDataCache[id];
  } catch (e) {
    console.warn('Failed to load nav data for', id, e);
    return null;
  }
}

async function loadIcData(factor) {
  const id = factor.id;
  if (icDataCache[id]) return icDataCache[id];
  const path = factor.ic_data;
  if (!path) return null;
  try {
    const resp = await fetch(path);
    if (!resp.ok) return null;
    const raw = await resp.json();
    icDataCache[id] = normalizeIcData(raw);
    return icDataCache[id];
  } catch (e) {
    console.warn('Failed to load ic data for', id, e);
    return null;
  }
}

/* Determine if factor has chart data (check nav_data / ic_data paths) */
function hasChartData(f) {
  return !!(f.nav_data || f.ic_data);
}

/* ====================== RENDERING ====================== */
function renderStats() {
  const el = document.getElementById('statsBar');
  const t = FACTORS.length;
  const w = FACTORS.filter(f => f.metrics && f.metrics.ic_mean != null).length;
  const strong = FACTORS.filter(f => f.rating && (f.rating.includes('★★★') || f.rating.includes('较强'))).length;
  el.innerHTML = `
    <div class="stat"><div class="num">${t}</div><div class="label">因子总数</div></div>
    <div class="stat"><div class="num">${w}</div><div class="label">已回测</div></div>
    <div class="stat"><div class="num">${strong}</div><div class="label">有效因子</div></div>`;
}

function renderList() {
  const el = document.getElementById('factorList');
  el.innerHTML = FACTORS.map((f, i) => {
    const m = f.metrics || {};
    let pills = '';
    if (m.ic_mean != null) {
      const c = Math.abs(m.ic_mean) > 0.03 ? (m.ic_mean > 0 ? 'pos' : 'neg') : '';
      pills += `<span class="pill ${c}">IC<span class="val">${num(m.ic_mean)}</span></span>`;
    }
    if (m.monotonicity != null) {
      const c = m.monotonicity >= 0.7 ? 'pos' : m.monotonicity >= 0.5 ? '' : 'neg';
      pills += `<span class="pill ${c}">单调性<span class="val">${num(m.monotonicity, 2)}</span></span>`;
    }
    if (m.long_short_sharpe != null) {
      const c = m.long_short_sharpe >= 1 ? 'pos' : m.long_short_sharpe >= 0.5 ? '' : 'neg';
      pills += `<span class="pill ${c}">Sharpe<span class="val">${num(m.long_short_sharpe, 2)}</span></span>`;
    }
    if (m.long_short_annual_return != null) {
      const c = m.long_short_annual_return > 0 ? 'pos' : 'neg';
      pills += `<span class="pill ${c}">多空年化<span class="val">${pct(m.long_short_annual_return, 1)}</span></span>`;
    }
    return `<div class="factor-card" onclick="showDetail(${i})" id="card-${i}">
      <div class="card-top">
        <div class="card-title">${f.name}<span class="en">${f.name_en}</span></div>
        ${rBadge(f.rating)}
      </div>
      <div class="card-meta">
        <span>📁 ${f.category}</span>
        <span>📈 ${f.stock_pool}</span>
        <span>📅 ${f.period}</span>
        <span>🔄 ${f.rebalance_freq}天调仓</span>
      </div>
      <div class="card-desc">${f.description}</div>
      ${pills ? `<div class="metric-pills">${pills}</div>` : ''}
    </div>`;
  }).join('');
}

async function showDetail(idx) {
  const f = FACTORS[idx], m = f.metrics || {};
  const panel = document.getElementById('detailPanel');
  document.querySelectorAll('.factor-card').forEach(c => c.classList.remove('active'));
  document.getElementById(`card-${idx}`).classList.add('active');

  let qTable = '';
  if (m.group_returns_annualized) {
    const rows = m.group_returns_annualized.map((r, i) => {
      const s = m.group_sharpe ? num(m.group_sharpe[i], 2) : 'N/A';
      const d = m.group_mdd ? pct(m.group_mdd[i], 1) : 'N/A';
      const lb = i === 0 ? ' (低)' : i === m.group_returns_annualized.length - 1 ? ' (高)' : '';
      return `<tr><td style="font-weight:600;color:${Q_COLORS[i]}">Q${i+1}${lb}</td><td>${pct(r,1)}</td><td>${s}</td><td>${d}</td></tr>`;
    }).join('');
    qTable = `<table class="quintile-table"><tr><th>分组</th><th>年化收益</th><th>Sharpe</th><th>最大回撤</th></tr>${rows}</table>`;
  }

  // Determine chart availability
  const hasCharts = hasChartData(f);
  let chartHTML = '';
  if (hasCharts) {
    const tabs = [];
    if (f.nav_data) tabs.push(`<button class="chart-tab active" onclick="switchChart(${idx},'nav',this)">📈 净值曲线</button>`);
    if (f.ic_data) tabs.push(`<button class="chart-tab${!f.nav_data ? ' active' : ''}" onclick="switchChart(${idx},'ic',this)">📊 IC 时序</button>`);
    chartHTML = `<div class="detail-section"><h3>📉 回测图表</h3><div class="chart-tabs">${tabs.join('')}</div><div class="chart-container"><canvas id="detailChart"></canvas></div></div>`;
  }

  let lessonsHTML = '';
  if (f.lessons_learned && f.lessons_learned.length) {
    lessonsHTML = `<ul class="lessons">${f.lessons_learned.map(l => `<li>${l}</li>`).join('')}</ul>`;
  }

  panel.innerHTML = `
    <button class="close-btn" onclick="closeDetail()">✕</button>
    <h2 style="margin-bottom:24px;font-size:1.4rem">${f.name} <span style="color:var(--text2);font-weight:400;font-size:1rem">${f.name_en}</span></h2>
    <div class="detail-section"><h3>📋 因子概述</h3>
      <div style="display:grid;grid-template-columns:120px 1fr;gap:8px 16px;font-size:0.9rem">
        <span style="color:var(--text2)">假设</span><span>${f.hypothesis || '-'}</span>
        <span style="color:var(--text2)">预期方向</span><span>${f.expected_direction || '-'}</span>
        <span style="color:var(--text2)">因子类型</span><span>${f.factor_type || '-'}</span>
        <span style="color:var(--text2)">股票池</span><span>${f.stock_pool}</span>
        <span style="color:var(--text2)">回测区间</span><span>${f.period}</span>
        <span style="color:var(--text2)">调仓周期</span><span>${f.rebalance_freq}天</span>
        <span style="color:var(--text2)">交易成本</span><span>${f.cost ? (f.cost*100).toFixed(1)+'% 单边' : '无'}</span>
      </div>
    </div>
    <div class="detail-section"><h3>🧮 计算公式</h3><div class="formula-box">${f.formula_detail || f.formula}</div></div>
    ${m.ic_mean != null ? `
    <div class="detail-section"><h3>📊 核心指标</h3>
      <div class="metrics-grid">
        <div class="metric-box"><div class="label">IC 均值</div><div class="value ${Math.abs(m.ic_mean) > 0.03 ? 'good' : 'bad'}">${num(m.ic_mean)}</div></div>
        <div class="metric-box"><div class="label">Rank IC</div><div class="value">${num(m.rank_ic)}</div></div>
        <div class="metric-box"><div class="label">IR</div><div class="value ${Math.abs(m.ir) > 0.3 ? 'good' : 'bad'}">${num(m.ir)}</div></div>
        <div class="metric-box"><div class="label">IC 显著</div><div class="value ${(m.ic_significant || (m.ic_t && Math.abs(m.ic_t) >= 1.96)) ? 'good' : 'bad'}">${(m.ic_significant || (m.ic_t && Math.abs(m.ic_t) >= 1.96)) ? '✓ 显著 (t=' + num(m.ic_t, 2) + ')' : '✗ 不显著'}</div></div>
        <div class="metric-box"><div class="label">单调性</div><div class="value ${m.monotonicity >= 0.7 ? 'good' : m.monotonicity >= 0.5 ? 'neutral' : 'bad'}">${num(m.monotonicity, 2)}</div></div>
        <div class="metric-box"><div class="label">多空年化</div><div class="value ${m.long_short_annual_return > 0 ? 'good' : 'bad'}">${pct(m.long_short_annual_return, 1)}</div></div>
        <div class="metric-box"><div class="label">多空 Sharpe</div><div class="value ${m.long_short_sharpe >= 1 ? 'good' : m.long_short_sharpe >= 0.5 ? 'neutral' : 'bad'}">${num(m.long_short_sharpe, 2)}</div></div>
        <div class="metric-box"><div class="label">多空 MDD</div><div class="value bad">${pct(m.long_short_mdd, 1)}</div></div>
      </div>
    </div>
    ${qTable ? `<div class="detail-section"><h3>📶 分层回测</h3>${qTable}</div>` : ''}
    ` : '<div class="detail-section"><h3>📊 核心指标</h3><p style="color:var(--text2)">暂无回测数据</p></div>'}
    ${chartHTML}
    <div class="detail-section"><h3>💡 结论</h3><div class="conclusion-box">${f.conclusion || '暂无结论'}${lessonsHTML}</div></div>
  `;
  panel.classList.add('show');
  panel.scrollIntoView({ behavior: 'smooth', block: 'start' });

  // Load and render charts
  if (hasCharts) {
    if (f.nav_data) {
      setTimeout(() => renderNavChart(idx), 100);
    } else if (f.ic_data) {
      setTimeout(() => renderIcChart(idx), 100);
    }
  }
}

function closeDetail() {
  document.getElementById('detailPanel').classList.remove('show');
  document.querySelectorAll('.factor-card').forEach(c => c.classList.remove('active'));
  if (navChart) { navChart.destroy(); navChart = null; }
  if (icChart) { icChart.destroy(); icChart = null; }
}

function switchChart(idx, type, btn) {
  document.querySelectorAll('.chart-tab').forEach(t => t.classList.remove('active'));
  btn.classList.add('active');
  if (type === 'nav') renderNavChart(idx); else renderIcChart(idx);
}

async function renderNavChart(idx) {
  const f = FACTORS[idx];
  const data = await loadNavData(f);
  if (!data) return;
  if (navChart) navChart.destroy();
  if (icChart) { icChart.destroy(); icChart = null; }
  const ctx = document.getElementById('detailChart').getContext('2d');
  const datasets = [];
  const keys = Object.keys(data.series).filter(k => k.startsWith('group_')).sort();
  keys.forEach((key, i) => {
    const gn = parseInt(key.split('_')[1]) - 1;
    let lb = `Q${gn+1}`;
    if (gn === 0) lb += ' (低)';
    if (gn === keys.length - 1) lb += ' (高)';
    datasets.push({
      label: lb, data: data.series[key],
      borderColor: Q_COLORS[gn], backgroundColor: 'transparent',
      borderWidth: gn === 0 || gn === keys.length - 1 ? 2 : 1.2,
      pointRadius: 0, tension: 0.1
    });
  });
  if (data.series.long_short) {
    datasets.push({
      label: 'Long-Short', data: data.series.long_short,
      borderColor: Q_COLORS[5], backgroundColor: 'transparent',
      borderWidth: 2.5, borderDash: [6, 3], pointRadius: 0, tension: 0.1
    });
  }
  navChart = new Chart(ctx, {
    type: 'line',
    data: { labels: data.dates, datasets },
    options: {
      responsive: true, maintainAspectRatio: false,
      interaction: { mode: 'index', intersect: false },
      plugins: {
        legend: { position: 'top', labels: { color: '#8b8fa3', usePointStyle: true, pointStyle: 'line' } },
        tooltip: { backgroundColor: '#1a1d29', borderColor: '#2a2d3a', borderWidth: 1, titleColor: '#e4e6eb', bodyColor: '#8b8fa3',
          callbacks: { label: c => `${c.dataset.label}: ${c.parsed.y.toFixed(3)}` } }
      },
      scales: {
        x: { type: 'time', time: { unit: 'month', tooltipFormat: 'yyyy-MM-dd' }, ticks: { color: '#8b8fa3', maxTicksLimit: 12 }, grid: { color: 'rgba(42,45,58,0.5)' } },
        y: { ticks: { color: '#8b8fa3' }, grid: { color: 'rgba(42,45,58,0.5)' } }
      }
    }
  });
}

async function renderIcChart(idx) {
  const f = FACTORS[idx];
  const data = await loadIcData(f);
  if (!data) return;
  if (icChart) icChart.destroy();
  if (navChart) { navChart.destroy(); navChart = null; }
  const ctx = document.getElementById('detailChart').getContext('2d');
  const colors = data.ic.map(v => v >= 0 ? 'rgba(34,197,94,0.6)' : 'rgba(239,68,68,0.6)');
  const cumIc = []; let s = 0;
  data.ic.forEach(v => { s += v; cumIc.push(s); });
  icChart = new Chart(ctx, {
    type: 'bar',
    data: {
      labels: data.dates,
      datasets: [
        { label: 'IC', data: data.ic, backgroundColor: colors, borderWidth: 0, yAxisID: 'y', order: 2 },
        { label: 'Cumulative IC', data: cumIc, type: 'line', borderColor: 'rgba(79,140,255,0.8)', backgroundColor: 'transparent', borderWidth: 2, pointRadius: 0, yAxisID: 'y1', order: 1 }
      ]
    },
    options: {
      responsive: true, maintainAspectRatio: false,
      interaction: { mode: 'index', intersect: false },
      plugins: {
        legend: { position: 'top', labels: { color: '#8b8fa3' } },
        tooltip: { backgroundColor: '#1a1d29', borderColor: '#2a2d3a', borderWidth: 1, titleColor: '#e4e6eb', bodyColor: '#8b8fa3' }
      },
      scales: {
        x: { type: 'time', time: { unit: 'month', tooltipFormat: 'yyyy-MM-dd' }, ticks: { color: '#8b8fa3' }, grid: { color: 'rgba(42,45,58,0.5)' } },
        y: { position: 'left', ticks: { color: '#8b8fa3' }, grid: { color: 'rgba(42,45,58,0.5)' }, title: { display: true, text: 'IC', color: '#8b8fa3' } },
        y1: { position: 'right', ticks: { color: '#4f8cff' }, grid: { display: false }, title: { display: true, text: 'Cumulative IC', color: '#4f8cff' } }
      }
    }
  });
}

/* ====================== INIT ====================== */
loadFactors();
</script>
</body>
</html>