Financial Calculators — Vision Financial Group | West Michigan

  
    
  <!DOCTYPE html>
<html xmlns:og="http://opengraphprotocol.org/schema/" xmlns:fb="http://www.facebook.com/2008/fbml" lang="en-US"  lang="en" data-theme="light">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Vision Financial Calculators</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;500;600;700;800&family=Lora:ital,wght@0,400;0,500;0,600;1,400;1,500&display=swap" rel="stylesheet">
<style>
  :root {
    --bg: #faf9f5;
    --bg-elevated: #ffffff;
    --bg-muted: #f2efe6;
    --bg-subtle: #e8e6dc;
    --border: #e8e6dc;
    --border-strong: #d4d1c4;
    --text: #141413;
    --text-muted: #6b6a5f;
    --text-subtle: #b0aea5;
    --accent: #6a9bcc;
    --accent-soft: #8fb5d9;
    --accent-wash: #e4eef7;
    --navy: #1e3a5f;
    --green: #788c5d;
    --green-wash: #eaefdd;
    --danger: #b84a3b;
    --gold: #c9a961;
    --shadow: 0 1px 3px rgba(20, 20, 19, 0.04), 0 4px 12px rgba(20, 20, 19, 0.04);
  }
  [data-theme="dark"] {
    --bg: #1a1a18;
    --bg-elevated: #242421;
    --bg-muted: #2e2e2a;
    --bg-subtle: #35352f;
    --border: #35352f;
    --border-strong: #45453d;
    --text: #faf9f5;
    --text-muted: #b0aea5;
    --text-subtle: #6b6a5f;
    --accent: #8fb5d9;
    --accent-soft: #6a9bcc;
    --accent-wash: #1f2e3d;
    --navy: #4a7bb5;
    --green: #8a9e6f;
    --green-wash: #232a1c;
    --danger: #d46856;
    --gold: #d9bc7a;
    --shadow: 0 1px 3px rgba(0, 0, 0, 0.3), 0 4px 12px rgba(0, 0, 0, 0.2);
  }

  * { box-sizing: border-box; margin: 0; padding: 0; }

  body {
    font-family: 'Lora', Georgia, serif;
    background: var(--bg);
    color: var(--text);
    line-height: 1.5;
    min-height: 100vh;
    transition: background 0.3s ease, color 0.3s ease;
  }
  h1, h2, h3 {
    font-family: 'Poppins', Arial, sans-serif;
    font-weight: 600;
    letter-spacing: -0.01em;
  }

  /* HEADER */
  .header {
    background: var(--bg-elevated);
    border-bottom: 1px solid var(--border);
    padding: 20px 40px;
    display: flex;
    justify-content: space-between;
    align-items: center;
    flex-wrap: wrap;
    gap: 16px;
    position: sticky;
    top: 0;
    z-index: 50;
  }
  .brand { display: flex; align-items: center; gap: 14px; cursor: pointer; }
  .brand-mark { width: 38px; height: 38px; color: var(--accent); }
  .brand-mark svg { width: 100%; height: 100%; }
  .brand-text h1 { font-size: 19px; font-weight: 600; color: var(--text); line-height: 1.2; }
  .brand-text h1 em { color: var(--accent); font-style: italic; font-weight: 500; }
  .brand-text p {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.12em;
    margin-top: 2px;
  }
  .header-actions { display: flex; gap: 10px; align-items: center; }

  /* VFG brand logo in header — theme-swapped via CSS (no flicker) */
  /* Only one is ever visible at a time, controlled by [data-theme] on <html xmlns:og="http://opengraphprotocol.org/schema/" xmlns:fb="http://www.facebook.com/2008/fbml" lang="en-US" > */
  .vfg-logo {
    height: 60px;
    width: auto;
    display: block;
    margin-left: 4px;
    opacity: 0.95;
    pointer-events: none;
    user-select: none;
  }
  /* Default (light theme): show dark-chrome logo, hide light-chrome logo */
  /* Darken + boost contrast on the light-mode logo since the source asset is a pale silver */
  /* designed for dark backgrounds. This gives it real presence on the cream background. */
  .vfg-logo-for-light {
    display: block;
    opacity: 1;
    filter: brightness(0.4) contrast(1.3);
  }
  .vfg-logo-for-dark  { display: none; }
  /* Dark theme: show light-chrome logo, hide dark-chrome logo */
  [data-theme="dark"] .vfg-logo-for-light { display: none; }
  [data-theme="dark"] .vfg-logo-for-dark  { display: block; }

  @media (max-width: 600px) {
    .vfg-logo { height: 40px; }
  }

  .btn {
    padding: 9px 16px;
    border: 1px solid transparent;
    border-radius: 8px;
    font-family: 'Poppins', sans-serif;
    font-size: 13px;
    font-weight: 500;
    cursor: pointer;
    transition: all 0.15s ease;
    display: inline-flex;
    align-items: center;
    gap: 6px;
    white-space: nowrap;
  }
  .btn-primary { background: var(--accent); color: #fff; }
  .btn-primary:hover { background: var(--accent-soft); transform: translateY(-1px); box-shadow: 0 4px 12px rgba(106, 155, 204, 0.25); }
  .btn-secondary { background: var(--bg-muted); color: var(--text); border-color: var(--border); }
  .btn-secondary:hover { background: var(--bg-subtle); border-color: var(--border-strong); }
  .btn-ghost { background: transparent; color: var(--text-muted); }
  .btn-ghost:hover { background: var(--bg-muted); color: var(--text); }
  .btn-sm { padding: 6px 12px; font-size: 12px; }

  .icon-btn {
    width: 36px; height: 36px;
    border-radius: 50%;
    background: transparent;
    border: 1px solid var(--border);
    color: var(--text-muted);
    cursor: pointer;
    display: flex; align-items: center; justify-content: center;
    transition: all 0.2s;
  }
  .icon-btn:hover { background: var(--bg-muted); color: var(--accent); border-color: var(--accent); }

  /* MAIN */
  .main { padding: 40px 40px; max-width: 1500px; margin: 0 auto; }

  /* ====== PORTAL LANDING ====== */
  .view { display: none; }
  .view.active { display: block; }

  .portal-hero {
    margin-bottom: 40px;
    text-align: center;
  }
  .portal-hero-eyebrow {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 600;
    color: var(--accent);
    text-transform: uppercase;
    letter-spacing: 0.15em;
    margin-bottom: 14px;
  }
  .portal-hero-title {
    font-family: 'Lora', serif;
    font-size: 44px;
    font-weight: 500;
    color: var(--text);
    line-height: 1.15;
    letter-spacing: -0.02em;
    margin-bottom: 12px;
  }
  .portal-hero-title em {
    color: var(--accent);
    font-style: italic;
    font-weight: 500;
  }
  .portal-hero-sub {
    font-family: 'Lora', serif;
    font-style: italic;
    font-size: 17px;
    color: var(--text-muted);
    max-width: 620px;
    margin: 0 auto;
  }

  /* SEARCH */
  .search-wrap {
    max-width: 600px;
    margin: 0 auto 44px;
    position: relative;
  }
  .search-input {
    width: 100%;
    padding: 14px 20px 14px 48px;
    border: 1px solid var(--border);
    border-radius: 12px;
    font-family: 'Lora', serif;
    font-size: 15px;
    color: var(--text);
    background: var(--bg-elevated);
    transition: all 0.15s;
  }
  .search-input:focus {
    outline: none;
    border-color: var(--accent);
    box-shadow: 0 0 0 3px var(--accent-wash);
  }
  .search-icon {
    position: absolute;
    left: 16px;
    top: 50%;
    transform: translateY(-50%);
    color: var(--text-muted);
  }

  /* CATEGORY TABS */
  .category-tabs {
    display: flex;
    gap: 4px;
    justify-content: center;
    margin-bottom: 32px;
    flex-wrap: wrap;
  }
  .cat-tab {
    padding: 10px 20px;
    background: transparent;
    border: 1px solid var(--border);
    border-radius: 999px;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 500;
    color: var(--text-muted);
    cursor: pointer;
    transition: all 0.15s;
  }
  .cat-tab:hover { color: var(--text); border-color: var(--border-strong); }
  .cat-tab.active {
    background: var(--accent);
    border-color: var(--accent);
    color: #fff;
  }

  /* CALC GRID */
  .calc-grid {
    display: grid;
    grid-template-columns: repeat(auto-fill, minmax(320px, 1fr));
    gap: 18px;
  }
  .calc-card {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 26px 28px;
    cursor: pointer;
    transition: all 0.2s ease;
    position: relative;
    overflow: hidden;
  }
  .calc-card:hover {
    border-color: var(--accent);
    transform: translateY(-3px);
    box-shadow: 0 8px 24px rgba(20, 20, 19, 0.08);
  }
  .calc-card.coming-soon {
    cursor: default;
    opacity: 0.75;
  }
  .calc-card.coming-soon:hover {
    transform: none;
    border-color: var(--border);
    box-shadow: var(--shadow);
  }
  .calc-card-header {
    display: flex;
    justify-content: space-between;
    align-items: flex-start;
    margin-bottom: 14px;
  }
  .calc-card-icon {
    width: 44px; height: 44px;
    border-radius: 10px;
    background: var(--accent-wash);
    color: var(--accent);
    display: flex;
    align-items: center;
    justify-content: center;
  }
  .calc-card-icon svg { width: 22px; height: 22px; }
  .calc-card-badge {
    font-family: 'Poppins', sans-serif;
    font-size: 9px;
    font-weight: 600;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    padding: 3px 8px;
    border-radius: 5px;
  }
  .calc-card-badge.new { background: var(--green-wash); color: var(--green); }
  .calc-card-badge.soon { background: var(--bg-muted); color: var(--text-muted); }
  .calc-card-title {
    font-family: 'Lora', serif;
    font-size: 20px;
    font-weight: 500;
    color: var(--text);
    margin-bottom: 6px;
    letter-spacing: -0.01em;
  }
  .calc-card-desc {
    font-family: 'Lora', serif;
    color: var(--text-muted);
    font-size: 14px;
    line-height: 1.5;
    margin-bottom: 16px;
  }
  .calc-card-meta {
    display: flex;
    justify-content: space-between;
    align-items: center;
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-subtle);
    text-transform: uppercase;
    letter-spacing: 0.06em;
    font-weight: 500;
  }
  .calc-card-arrow {
    color: var(--accent);
    transition: transform 0.2s;
  }
  .calc-card:hover .calc-card-arrow { transform: translateX(4px); }

  .empty-search {
    text-align: center;
    padding: 60px 20px;
    color: var(--text-muted);
  }
  .empty-search strong {
    display: block;
    font-family: 'Lora', serif;
    font-size: 17px;
    color: var(--text);
    margin-bottom: 8px;
    font-weight: 500;
  }

  /* ====== CALCULATOR VIEW ====== */
  .back-bar {
    margin-bottom: 24px;
    display: flex;
    align-items: center;
    gap: 16px;
    flex-wrap: wrap;
  }
  .back-link {
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 500;
    color: var(--text-muted);
    cursor: pointer;
    display: inline-flex;
    align-items: center;
    gap: 6px;
    padding: 6px 10px;
    border-radius: 6px;
    transition: all 0.15s;
  }
  .back-link:hover { background: var(--bg-muted); color: var(--accent); }
  .back-breadcrumb {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }
  .back-breadcrumb .sep { color: var(--text-subtle); margin: 0 8px; }
  .back-breadcrumb .current { color: var(--accent); font-weight: 500; }

  .calc-title-row {
    margin-bottom: 28px;
  }
  .calc-title {
    font-family: 'Lora', serif;
    font-size: 32px;
    font-weight: 500;
    color: var(--text);
    letter-spacing: -0.02em;
    line-height: 1.15;
    margin-bottom: 6px;
  }
  .calc-title em { color: var(--accent); font-style: italic; font-weight: 500; }
  .calc-subtitle {
    font-family: 'Lora', serif;
    font-style: italic;
    color: var(--text-muted);
    font-size: 16px;
  }

  /* TWO-PANEL LAYOUT */
  .panel-two {
    display: grid;
    grid-template-columns: 380px 1fr;
    gap: 24px;
    align-items: start;
  }
  .input-panel {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 24px 26px;
    position: sticky;
    top: 110px;
  }
  .input-section {
    padding-bottom: 20px;
    margin-bottom: 20px;
    border-bottom: 1px solid var(--border);
  }
  .input-section:last-child { border-bottom: none; margin-bottom: 0; padding-bottom: 0; }
  .input-section-title {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 600;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 14px;
  }

  .field { margin-bottom: 14px; }
  .field:last-child { margin-bottom: 0; }
  .field-row {
    display: flex;
    justify-content: space-between;
    align-items: baseline;
    margin-bottom: 6px;
  }
  .label {
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 500;
    color: var(--text);
  }
  .label-value {
    font-family: 'Poppins', sans-serif;
    font-size: 13px;
    font-weight: 600;
    color: var(--accent);
  }
  .input-wrap { position: relative; }
  .input-prefix, .input-suffix {
    position: absolute;
    top: 50%;
    transform: translateY(-50%);
    color: var(--text-muted);
    font-family: 'Poppins', sans-serif;
    font-size: 13px;
    pointer-events: none;
  }
  .input-prefix { left: 12px; }
  .input-suffix { right: 12px; }
  .input, .select {
    width: 100%;
    padding: 10px 14px;
    border: 1px solid var(--border);
    border-radius: 8px;
    font-family: 'Lora', serif;
    font-size: 14px;
    color: var(--text);
    background: var(--bg);
    transition: all 0.15s;
  }
  .input.with-prefix { padding-left: 26px; }
  .input:focus, .select:focus {
    outline: none;
    border-color: var(--accent);
    background: var(--bg-elevated);
    box-shadow: 0 0 0 3px var(--accent-wash);
  }
  .slider {
    width: 100%;
    height: 5px;
    background: var(--bg-muted);
    border-radius: 3px;
    outline: none;
    -webkit-appearance: none;
    appearance: none;
    margin-top: 4px;
  }
  .slider::-webkit-slider-thumb {
    -webkit-appearance: none;
    width: 18px; height: 18px;
    border-radius: 50%;
    background: var(--accent);
    cursor: pointer;
    border: 3px solid var(--bg-elevated);
    box-shadow: 0 1px 4px rgba(106, 155, 204, 0.3);
  }
  .slider::-moz-range-thumb {
    width: 18px; height: 18px;
    border-radius: 50%;
    background: var(--accent);
    cursor: pointer;
    border: 3px solid var(--bg-elevated);
  }
  .field-2 { display: grid; grid-template-columns: 1fr 1fr; gap: 10px; }

  /* HERO RESULT */
  .hero-result {
    background: linear-gradient(135deg, var(--bg-elevated) 0%, var(--bg-muted) 100%);
    border: 1px solid var(--border);
    border-radius: 18px;
    padding: 36px 42px;
    margin-bottom: 20px;
    text-align: center;
    position: relative;
    overflow: hidden;
  }
  .hero-result::before {
    content: '';
    position: absolute;
    top: -50%;
    right: -10%;
    width: 400px;
    height: 400px;
    background: radial-gradient(circle, var(--accent-wash) 0%, transparent 70%);
    opacity: 0.5;
    pointer-events: none;
  }
  .hero-label {
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 600;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.15em;
    margin-bottom: 14px;
    position: relative;
  }
  .hero-value {
    font-family: 'Lora', serif;
    font-size: 72px;
    font-weight: 500;
    color: var(--accent);
    letter-spacing: -0.04em;
    line-height: 1;
    position: relative;
    font-feature-settings: "tnum";
  }
  .hero-breakdown {
    display: flex;
    justify-content: center;
    gap: 44px;
    margin-top: 22px;
    position: relative;
    flex-wrap: wrap;
  }
  .hero-breakdown-item {
    display: flex;
    flex-direction: column;
    align-items: center;
    gap: 4px;
  }
  .hero-breakdown-num {
    font-family: 'Lora', serif;
    font-weight: 500;
    color: var(--text);
    font-size: 20px;
    letter-spacing: -0.01em;
  }
  .hero-breakdown-num.accent { color: var(--accent); }
  .hero-breakdown-lbl {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }

  /* SECTION */
  .section {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 22px 26px;
    margin-bottom: 16px;
  }
  .section-title-row {
    display: flex;
    justify-content: space-between;
    align-items: baseline;
    margin-bottom: 16px;
  }
  .section-title {
    font-family: 'Poppins', sans-serif;
    font-size: 13px;
    font-weight: 600;
    color: var(--text);
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }
  .section-sub {
    font-family: 'Lora', serif;
    font-style: italic;
    color: var(--text-muted);
    font-size: 13px;
  }

  /* TABLE */
  .tbl { width: 100%; border-collapse: collapse; font-size: 13px; font-family: 'Lora', serif; }
  .tbl th {
    text-align: right;
    padding: 10px 12px;
    font-family: 'Poppins', sans-serif;
    color: var(--text-muted);
    font-weight: 500;
    font-size: 10px;
    text-transform: uppercase;
    letter-spacing: 0.08em;
    border-bottom: 1px solid var(--border);
  }
  .tbl th:first-child { text-align: left; }
  .tbl td {
    padding: 11px 12px;
    border-bottom: 1px solid var(--border);
    color: var(--text);
    text-align: right;
  }
  .tbl td:first-child {
    text-align: left;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    color: var(--text-muted);
    font-weight: 500;
  }
  .tbl tr:last-child td { border-bottom: none; }
  .tbl tr.total td {
    border-top: 2px solid var(--border-strong);
    font-weight: 600;
    color: var(--text);
  }
  .tbl tr.total td:first-child { color: var(--text); font-family: 'Poppins', sans-serif; text-transform: uppercase; letter-spacing: 0.06em; font-size: 11px; }
  .val-good { color: var(--green); font-weight: 500; }
  .val-bad { color: var(--danger); font-weight: 500; }
  .val-accent { color: var(--accent); font-weight: 500; }

  /* CHART */
  .chart-container {
    height: 380px;
    width: 100%;
    position: relative;
  }
  .chart-tooltip {
    position: absolute;
    background: var(--text);
    color: var(--bg);
    padding: 10px 14px;
    border-radius: 8px;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    pointer-events: none;
    opacity: 0;
    transition: opacity 0.15s;
    z-index: 10;
    white-space: nowrap;
    box-shadow: 0 4px 12px rgba(0,0,0,0.15);
    transform: translate(-50%, -100%);
    margin-top: -8px;
  }
  .chart-tooltip.visible { opacity: 1; }
  .chart-tooltip-label {
    font-weight: 500;
    opacity: 0.75;
    font-size: 10px;
    text-transform: uppercase;
    letter-spacing: 0.06em;
    margin-bottom: 2px;
  }
  .chart-tooltip-row {
    display: flex;
    align-items: center;
    gap: 8px;
    font-size: 13px;
    font-weight: 500;
  }
  .chart-tooltip-row + .chart-tooltip-row { margin-top: 3px; }
  .chart-tooltip-swatch {
    width: 8px; height: 8px;
    border-radius: 50%;
    flex-shrink: 0;
  }
  .chart-crosshair {
    position: absolute;
    top: 0;
    bottom: 0;
    width: 1px;
    background: var(--text-subtle);
    opacity: 0;
    pointer-events: none;
    transition: opacity 0.1s;
  }
  .chart-crosshair.visible { opacity: 0.5; }
  .chart-legend {
    display: flex;
    gap: 20px;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    color: var(--text-muted);
    flex-wrap: wrap;
  }
  .legend-item { display: flex; align-items: center; gap: 7px; }
  .legend-swatch { width: 12px; height: 12px; border-radius: 3px; }
  .sw-accent { background: var(--accent); }
  .sw-navy { background: var(--navy); }
  .sw-green { background: var(--green); }
  .sw-subtle { background: var(--text-subtle); }

  /* KPI GRID */
  .kpi-grid {
    display: grid;
    grid-template-columns: repeat(4, 1fr);
    gap: 12px;
    margin-bottom: 18px;
  }
  .kpi {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 12px;
    padding: 18px 22px;
  }
  .kpi-label {
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    font-weight: 500;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-bottom: 8px;
  }
  .kpi-value {
    font-family: 'Lora', serif;
    font-size: 24px;
    font-weight: 500;
    color: var(--text);
    letter-spacing: -0.02em;
    line-height: 1.1;
  }
  .kpi-value.accent { color: var(--accent); }
  .kpi-value.good { color: var(--green); }
  .kpi-value.bad { color: var(--danger); }
  .kpi-sub {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-muted);
    margin-top: 4px;
  }

  /* QUICK RATES */
  .quick-rates { display: flex; gap: 6px; margin-top: 6px; flex-wrap: wrap; }
  .quick-rate {
    padding: 4px 10px;
    background: var(--bg-muted);
    border: 1px solid transparent;
    border-radius: 6px;
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 500;
    color: var(--text-muted);
    cursor: pointer;
    transition: all 0.15s;
  }
  .quick-rate:hover { background: var(--bg-subtle); color: var(--text); }
  .quick-rate.active { background: var(--accent-wash); border-color: var(--accent); color: var(--accent); }

  /* SS SCENARIO ROWS */
  .ss-scenario-row {
    display: grid;
    grid-template-columns: 14px 1fr 72px 26px;
    align-items: center;
    gap: 10px;
    padding: 8px 10px;
    margin-bottom: 6px;
    background: var(--bg-muted);
    border: 1px solid var(--border);
    border-radius: 8px;
  }
  .ss-scenario-swatch {
    width: 12px;
    height: 12px;
    border-radius: 3px;
  }
  .ss-scenario-label {
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 500;
    color: var(--text);
  }
  .ss-scenario-label input {
    width: 100%;
    background: transparent;
    border: none;
    border-bottom: 1px solid transparent;
    font: inherit;
    color: inherit;
    padding: 2px 0;
    outline: none;
  }
  .ss-scenario-label input:focus {
    border-bottom-color: var(--accent);
  }
  .ss-scenario-age {
    display: flex;
    align-items: center;
    gap: 4px;
  }
  .ss-scenario-age input {
    width: 44px;
    padding: 4px 6px;
    text-align: center;
    background: var(--bg);
    border: 1px solid var(--border);
    border-radius: 5px;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 600;
    color: var(--text);
    outline: none;
  }
  .ss-scenario-age input:focus { border-color: var(--accent); }
  .ss-scenario-age-label {
    font-family: 'Lora', serif;
    font-style: italic;
    font-size: 10px;
    color: var(--text-muted);
  }
  .ss-scenario-remove {
    width: 22px;
    height: 22px;
    border-radius: 4px;
    background: transparent;
    border: 1px solid var(--border);
    color: var(--text-muted);
    font-size: 14px;
    line-height: 1;
    cursor: pointer;
    display: flex;
    align-items: center;
    justify-content: center;
    padding: 0;
    transition: all 0.15s;
  }
  .ss-scenario-remove:hover:not(:disabled) {
    background: var(--bg-subtle);
    color: var(--text);
    border-color: var(--text-muted);
  }
  .ss-scenario-remove:disabled {
    opacity: 0.3;
    cursor: not-allowed;
  }

  /* MODE TABS (inside calculators) */
  .mode-selector {
    display: inline-flex;
    background: var(--bg-muted);
    border-radius: 10px;
    padding: 4px;
    margin-bottom: 22px;
    gap: 2px;
    flex-wrap: wrap;
  }
  .mode-btn {
    padding: 9px 18px;
    background: transparent;
    border: none;
    border-radius: 7px;
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    font-weight: 500;
    color: var(--text-muted);
    cursor: pointer;
    transition: all 0.2s;
  }
  .mode-btn:hover { color: var(--text); }
  .mode-btn.active {
    background: var(--bg-elevated);
    color: var(--accent);
    box-shadow: var(--shadow);
  }
  .mode-content { display: none; }
  .mode-content.active { display: block; }

  /* VERDICT CARD */
  .verdict {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-left: 4px solid var(--accent);
    border-radius: 12px;
    padding: 20px 24px;
    margin-bottom: 18px;
  }
  .verdict.good { border-left-color: var(--green); }
  .verdict.bad { border-left-color: var(--danger); }
  .verdict-label {
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    font-weight: 600;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 8px;
  }
  .verdict-text {
    font-family: 'Lora', serif;
    font-size: 15px;
    color: var(--text);
    line-height: 1.5;
  }
  .verdict-text em { color: var(--accent); font-style: italic; font-weight: 500; }

  /* COMPARE CARDS */
  .compare-grid {
    display: grid;
    grid-template-columns: 1fr 1fr;
    gap: 18px;
    margin-bottom: 20px;
  }
  .person-card {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 22px 26px;
    position: relative;
  }
  .person-card.winner {
    border-color: var(--accent);
    box-shadow: 0 0 0 3px var(--accent-wash);
  }
  .winner-badge {
    position: absolute;
    top: 16px;
    right: 16px;
    background: var(--accent);
    color: #fff;
    padding: 4px 10px;
    border-radius: 6px;
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    font-weight: 600;
    text-transform: uppercase;
    letter-spacing: 0.1em;
  }
  .person-title {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 4px;
  }
  .person-name {
    font-family: 'Lora', serif;
    font-size: 24px;
    font-weight: 500;
    color: var(--text);
    margin-bottom: 14px;
  }
  .person-name em { color: var(--accent); font-style: italic; }
  .person-inputs { display: grid; grid-template-columns: 1fr 1fr; gap: 10px; margin-bottom: 16px; }
  .person-input-field label {
    display: block;
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    font-weight: 500;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-bottom: 5px;
  }
  .person-result {
    padding: 18px 20px;
    background: var(--bg-muted);
    border-radius: 10px;
    text-align: center;
  }
  .person-result-label {
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 6px;
  }
  .person-result-value {
    font-family: 'Lora', serif;
    font-size: 40px;
    font-weight: 500;
    color: var(--accent);
    letter-spacing: -0.03em;
    line-height: 1;
  }
  .person-result-sub {
    font-family: 'Lora', serif;
    font-style: italic;
    font-size: 12px;
    color: var(--text-muted);
    margin-top: 6px;
  }
  .compare-insight {
    background: linear-gradient(135deg, var(--accent) 0%, var(--accent-soft) 100%);
    color: #fff;
    border-radius: 14px;
    padding: 24px 28px;
    margin-bottom: 20px;
    text-align: center;
  }
  .compare-insight-label {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 600;
    text-transform: uppercase;
    letter-spacing: 0.15em;
    opacity: 0.9;
    margin-bottom: 10px;
  }
  .compare-insight-text {
    font-family: 'Lora', serif;
    font-size: 19px;
    font-weight: 500;
    line-height: 1.4;
  }
  .compare-insight-text em { font-style: italic; font-weight: 500; }

  /* RULE OF 72 */
  .rule72-card {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 24px 28px;
    display: grid;
    grid-template-columns: 1fr 2fr;
    gap: 36px;
    align-items: center;
    margin-bottom: 18px;
  }
  .rule72-title {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 600;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 6px;
  }
  .rule72-years {
    font-family: 'Lora', serif;
    font-size: 96px;
    font-weight: 500;
    color: var(--accent);
    letter-spacing: -0.05em;
    line-height: 1;
    text-align: center;
  }
  .rule72-years-label {
    font-family: 'Poppins', sans-serif;
    font-size: 12px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    text-align: center;
    margin-top: 6px;
  }
  .rule72-tagline {
    font-family: 'Lora', serif;
    font-size: 16px;
    color: var(--text);
    line-height: 1.5;
  }
  .rule72-tagline em { color: var(--accent); font-style: italic; font-weight: 500; }
  .doublings {
    display: grid;
    grid-template-columns: repeat(4, 1fr);
    gap: 10px;
    margin-top: 16px;
  }
  .doubling-box {
    background: var(--bg-muted);
    border-radius: 8px;
    padding: 12px 14px;
    text-align: center;
  }
  .doubling-label {
    font-family: 'Poppins', sans-serif;
    font-size: 9px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
    margin-bottom: 4px;
  }
  .doubling-value {
    font-family: 'Lora', serif;
    font-size: 19px;
    font-weight: 500;
    color: var(--accent);
    line-height: 1;
  }
  .doubling-year {
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    color: var(--text-muted);
    margin-top: 3px;
  }

  /* MILESTONES */
  .milestones-grid {
    display: grid;
    grid-template-columns: repeat(5, 1fr);
    gap: 10px;
  }
  .milestone {
    background: var(--bg-muted);
    border-radius: 8px;
    padding: 14px 16px;
    text-align: center;
  }
  .milestone-year {
    font-family: 'Poppins', sans-serif;
    font-size: 10px;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.08em;
  }
  .milestone-val {
    font-family: 'Lora', serif;
    font-size: 20px;
    font-weight: 500;
    color: var(--text);
    margin-top: 4px;
    letter-spacing: -0.02em;
  }

  /* COMING SOON */
  .coming-soon-wrap {
    max-width: 720px;
    margin: 40px auto;
    text-align: center;
    padding: 40px;
  }
  .cs-icon {
    width: 80px; height: 80px;
    margin: 0 auto 24px;
    background: var(--accent-wash);
    border-radius: 20px;
    display: flex;
    align-items: center;
    justify-content: center;
    color: var(--accent);
  }
  .cs-icon svg { width: 40px; height: 40px; }
  .cs-title {
    font-family: 'Lora', serif;
    font-size: 32px;
    font-weight: 500;
    color: var(--text);
    margin-bottom: 10px;
    letter-spacing: -0.02em;
  }
  .cs-title em { color: var(--accent); font-style: italic; }
  .cs-sub {
    font-family: 'Lora', serif;
    font-style: italic;
    color: var(--text-muted);
    font-size: 16px;
    margin-bottom: 28px;
    max-width: 540px;
    margin-left: auto;
    margin-right: auto;
  }
  .cs-features {
    background: var(--bg-elevated);
    border: 1px solid var(--border);
    border-radius: 14px;
    padding: 28px 32px;
    max-width: 540px;
    margin: 0 auto 24px;
    text-align: left;
  }
  .cs-features-title {
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    font-weight: 600;
    color: var(--text-muted);
    text-transform: uppercase;
    letter-spacing: 0.1em;
    margin-bottom: 14px;
  }
  .cs-feature {
    display: flex;
    align-items: flex-start;
    gap: 12px;
    padding: 8px 0;
    font-family: 'Lora', serif;
    font-size: 14px;
    color: var(--text);
  }
  .cs-feature-dot {
    width: 5px; height: 5px;
    border-radius: 50%;
    background: var(--accent);
    margin-top: 10px;
    flex-shrink: 0;
  }

  /* DISCLAIMER */
  .disclaimer {
    background: var(--bg-muted);
    border: 1px solid var(--border);
    border-radius: 10px;
    padding: 14px 18px;
    margin-top: 24px;
    font-family: 'Lora', serif;
    font-style: italic;
    font-size: 12px;
    color: var(--text-muted);
    line-height: 1.5;
  }

  /* FOOTER */
  .footer {
    text-align: center;
    margin-top: 48px;
    padding: 28px;
    color: var(--text-subtle);
    font-family: 'Poppins', sans-serif;
    font-size: 11px;
    letter-spacing: 0.08em;
    text-transform: uppercase;
  }
  .footer em {
    text-transform: none;
    letter-spacing: 0;
    font-family: 'Lora', serif;
    font-style: italic;
    color: var(--text-muted);
    display: block;
    margin-top: 6px;
    font-size: 12px;
  }
  .footer-disclosure {
    max-width: 920px;
    margin: 32px auto 0;
    padding: 20px 28px;
    border-top: 1px solid var(--border);
    border-bottom: 1px solid var(--border);
    font-family: 'Lora', serif;
    font-style: italic;
    font-size: 11.5px;
    line-height: 1.55;
    color: var(--text-muted);
    text-align: left;
    letter-spacing: 0;
    text-transform: none;
  }
  .footer-disclosure p {
    margin: 0 0 10px 0;
  }
  .footer-disclosure p:last-child {
    margin-bottom: 0;
  }
  .footer-disclosure .fd-firm {
    text-align: center;
    font-size: 12px;
    margin-bottom: 18px;
    padding-bottom: 16px;
    border-bottom: 1px dashed var(--border);
  }

  .toast {
    position: fixed;
    bottom: 24px;
    right: 24px;
    background: var(--text);
    color: var(--bg);
    padding: 14px 20px;
    border-radius: 10px;
    font-family: 'Poppins', sans-serif;
    font-size: 13px;
    font-weight: 500;
    box-shadow: 0 10px 40px rgba(0,0,0,0.2);
    z-index: 300;
    transform: translateY(100px);
    opacity: 0;
    transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
  }
  .toast.show { transform: translateY(0); opacity: 1; }

  @media (max-width: 1100px) {
    .panel-two { grid-template-columns: 1fr; }
    .input-panel { position: static; }
    .rule72-card { grid-template-columns: 1fr; gap: 20px; }
    .kpi-grid { grid-template-columns: repeat(2, 1fr); }
    .compare-grid { grid-template-columns: 1fr; }
    .milestones-grid { grid-template-columns: repeat(3, 1fr); }
  }
  @media (max-width: 640px) {
    .header { padding: 14px 20px; }
    .main { padding: 24px 16px; }
    .portal-hero-title { font-size: 32px; }
    .calc-title { font-size: 24px; }
    .hero-value { font-size: 48px; }
    .rule72-years { font-size: 64px; }
    .kpi-grid { grid-template-columns: 1fr 1fr; }
    .doublings { grid-template-columns: 1fr 1fr; }
    .milestones-grid { grid-template-columns: 1fr 1fr; }
  }
</style>
</head>
<body>

<div class="header">
  <div class="brand" onclick="goHome()">
    <div class="brand-mark">
      <svg viewBox="0 0 40 40" fill="currentColor">
        <path d="M20 4 L22 18 L36 20 L22 22 L20 36 L18 22 L4 20 L18 18 Z" opacity="0.9"/>
        <circle cx="20" cy="20" r="2.5" />
      </svg>
    </div>
    <div class="brand-text">
      <h1>Financial <em>Calculators</em></h1>
      <p>Vision Financial Group</p>
    </div>
  </div>
  <div class="header-actions">
    <button class="icon-btn" onclick="toggleTheme()" title="Toggle theme">
      <svg id="theme-icon-light" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 12.79A9 9 0 1 1 11.21 3 7 7 0 0 0 21 12.79z"/></svg>
      <svg id="theme-icon-dark" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" style="display:none;"><circle cx="12" cy="12" r="4"/><path d="M12 2v2M12 20v2M4.93 4.93l1.41 1.41M17.66 17.66l1.41 1.41M2 12h2M20 12h2M6.34 17.66l-1.41 1.41M19.07 4.93l-1.41 1.41"/></svg>
    </button>
    <img class="vfg-logo vfg-logo-for-light" src="data:image/png;base64,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" alt="Vision Financial Group">
    <img class="vfg-logo vfg-logo-for-dark"  src="data:image/png;base64,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" alt="Vision Financial Group">
  </div>
</div>

<div class="main">

  <!-- ==================== PORTAL HOME ==================== -->
  <div class="view active" id="view-home">

    <div class="portal-hero">
      <div class="portal-hero-eyebrow">VFG</div>
      <h2 class="portal-hero-title">Financial <em>calculators</em></h2>
      <p class="portal-hero-sub">Simple, interactive tools to explore how saving, investing, and taxes can shape your financial picture. For education only — your Vision Financial Group advisor can build a plan around your full situation.</p>
    </div>

    <div class="search-wrap">
      <svg class="search-icon" width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
        <circle cx="11" cy="11" r="8"/><path d="M21 21l-4.3-4.3"/>
      </svg>
      <input type="text" class="search-input" id="search-input" placeholder="Search calculators..." oninput="renderGrid()">
    </div>

    <div class="category-tabs">
      <button class="cat-tab active" onclick="setCategory('all', this)">All</button>
      <button class="cat-tab" onclick="setCategory('Tax Planning', this)">Tax Planning</button>
      <button class="cat-tab" onclick="setCategory('Investment', this)">Investment</button>
      <button class="cat-tab" onclick="setCategory('Cash Flow', this)">Cash Flow</button>
    </div>

    <div class="calc-grid" id="calc-grid"></div>

  </div>

  <!-- ==================== CALCULATOR: COMPOUNDING MACHINE ==================== -->
  <div class="view" id="view-compounding">
    <div class="back-bar">
      <div class="back-link" onclick="goHome()">
        <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><line x1="19" y1="12" x2="5" y2="12"/><polyline points="12 19 5 12 12 5"/></svg>
        Back to Portal
      </div>
      <div class="back-breadcrumb">Investment <span class="sep">/</span> <span class="current">Compound Growth</span></div>
    </div>
    <div class="calc-title-row">
      <h2 class="calc-title">Compound <em>Growth</em></h2>
      <p class="calc-subtitle">See what time and compound growth can do for your money.</p>
    </div>

    <div class="mode-selector">
      <button class="mode-btn active" onclick="showCompMode('lump', this)">Lump Sum</button>
      <button class="mode-btn" onclick="showCompMode('recurring', this)">Dollar Cost Average</button>
      <button class="mode-btn" onclick="showCompMode('compare', this)">Start Early vs Late</button>
      <button class="mode-btn" onclick="showCompMode('scenario', this)">Scenario Comparison</button>
    </div>

    <!-- LUMP SUM -->
    <div class="mode-content active" id="comp-lump">
      <div class="section">
        <div class="field-2">
          <div class="field">
            <div class="field-row"><span class="label">Starting Amount</span><span class="label-value" id="v-lump-amt">$10,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="lump-amt" value="10000" step="1000" oninput="calcLump()"></div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Annual Return</span><span class="label-value" id="v-lump-rate">7%</span></div>
            <input type="range" class="slider" id="lump-rate" min="1" max="15" value="7" step="0.5" oninput="calcLump()">
            <div class="quick-rates">
              <div class="quick-rate" onclick="setLumpRate(4)">4%</div>
              <div class="quick-rate" onclick="setLumpRate(6)">6%</div>
              <div class="quick-rate active" onclick="setLumpRate(7)">7%</div>
              <div class="quick-rate" onclick="setLumpRate(10)">10%</div>
            </div>
          </div>
        </div>
        <div class="field-2" style="margin-top: 14px;">
          <div class="field">
            <div class="field-row"><span class="label">Time Horizon</span><span class="label-value" id="v-lump-yrs">30 yr</span></div>
            <input type="range" class="slider" id="lump-yrs" min="1" max="50" value="30" step="1" oninput="calcLump()">
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Compounds</span><span class="label-value" id="v-lump-freq">Monthly</span></div>
            <select class="select" id="lump-freq" onchange="calcLump()">
              <option value="1">Annually</option><option value="4">Quarterly</option><option value="12" selected>Monthly</option><option value="365">Daily</option>
            </select>
          </div>
        </div>
      </div>

      <div class="hero-result">
        <div class="hero-label">Future Value</div>
        <div class="hero-value" id="lump-hero">$0</div>
        <div class="hero-breakdown">
          <div class="hero-breakdown-item"><div class="hero-breakdown-num" id="lump-invest">$0</div><div class="hero-breakdown-lbl">You invest</div></div>
          <div class="hero-breakdown-item"><div class="hero-breakdown-num accent" id="lump-growth">$0</div><div class="hero-breakdown-lbl">Market adds</div></div>
          <div class="hero-breakdown-item"><div class="hero-breakdown-num" id="lump-mult">0x</div><div class="hero-breakdown-lbl">Multiplies</div></div>
        </div>
      </div>

      <div class="rule72-card">
        <div>
          <div class="rule72-title">Rule of 72</div>
          <div class="rule72-years" id="r72-yrs">10.3</div>
          <div class="rule72-years-label">Years to Double</div>
        </div>
        <div>
          <div class="rule72-tagline" id="r72-text"></div>
          <div class="doublings" id="doublings"></div>
        </div>
      </div>

      <div class="section">
        <div class="section-title-row"><div class="section-title">Growth Over Time</div>
          <div class="chart-legend"><div class="legend-item"><div class="legend-swatch sw-subtle"></div>Principal</div><div class="legend-item"><div class="legend-swatch sw-accent"></div>Growth</div></div>
        </div>
        <div class="chart-container"><canvas id="lump-chart"></canvas><div class="chart-crosshair" id="lump-crosshair"></div><div class="chart-tooltip" id="lump-tooltip"></div></div>
      </div>

      <div class="section">
        <div class="section-title">Milestone Values</div>
        <div class="milestones-grid" id="lump-miles" style="margin-top: 14px;"></div>
      </div>
    </div>

    <!-- DCA -->
    <div class="mode-content" id="comp-recurring">
      <div class="section">
        <div class="field-2">
          <div class="field">
            <div class="field-row"><span class="label">Starting Balance</span><span class="label-value" id="v-rec-start">$0</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="rec-start" value="0" step="1000" oninput="calcRec()"></div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Frequency</span><span class="label-value" id="v-rec-freq">Monthly</span></div>
            <select class="select" id="rec-freq" onchange="calcRec()">
              <option value="12" selected>Monthly</option><option value="4">Quarterly</option><option value="1">Annually</option>
            </select>
          </div>
        </div>
        <div class="field-2" style="margin-top: 14px;">
          <div class="field">
            <div class="field-row"><span class="label" id="rec-contrib-lbl">Monthly Contribution</span><span class="label-value" id="v-rec-contrib">$500</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="rec-contrib" value="500" step="50" oninput="calcRec()"></div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Annual Return</span><span class="label-value" id="v-rec-rate">7%</span></div>
            <input type="range" class="slider" id="rec-rate" min="1" max="15" value="7" step="0.5" oninput="calcRec()">
            <div class="quick-rates">
              <div class="quick-rate" onclick="setRecRate(4)">4%</div>
              <div class="quick-rate" onclick="setRecRate(6)">6%</div>
              <div class="quick-rate active" onclick="setRecRate(7)">7%</div>
              <div class="quick-rate" onclick="setRecRate(10)">10%</div>
            </div>
          </div>
        </div>
        <div class="field-2" style="margin-top: 14px;">
          <div class="field">
            <div class="field-row"><span class="label">Years Investing</span><span class="label-value" id="v-rec-yrs">30 yr</span></div>
            <input type="range" class="slider" id="rec-yrs" min="1" max="50" value="30" step="1" oninput="calcRec()">
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Annual Raise</span><span class="label-value" id="v-rec-raise">0%</span></div>
            <input type="range" class="slider" id="rec-raise" min="0" max="10" value="0" step="0.5" oninput="calcRec()">
          </div>
        </div>
      </div>

      <div class="hero-result">
        <div class="hero-label">Future Value</div>
        <div class="hero-value" id="rec-hero">$0</div>
        <div class="hero-breakdown">
          <div class="hero-breakdown-item"><div class="hero-breakdown-num" id="rec-invest">$0</div><div class="hero-breakdown-lbl">You invest</div></div>
          <div class="hero-breakdown-item"><div class="hero-breakdown-num accent" id="rec-growth">$0</div><div class="hero-breakdown-lbl">Market adds</div></div>
          <div class="hero-breakdown-item"><div class="hero-breakdown-num" id="rec-income">$0</div><div class="hero-breakdown-lbl">4% Withdrawal</div></div>
        </div>
      </div>

      <div class="section">
        <div class="section-title-row"><div class="section-title">Growth Over Time</div>
          <div class="chart-legend"><div class="legend-item"><div class="legend-swatch sw-subtle"></div>Contributions</div><div class="legend-item"><div class="legend-swatch sw-accent"></div>Growth</div></div>
        </div>
        <div class="chart-container"><canvas id="rec-chart"></canvas><div class="chart-crosshair" id="rec-crosshair"></div><div class="chart-tooltip" id="rec-tooltip"></div></div>
      </div>

      <div class="section">
        <div class="section-title">Milestone Values</div>
        <div class="milestones-grid" id="rec-miles" style="margin-top: 14px;"></div>
      </div>
    </div>

    <!-- COMPARE -->
    <div class="mode-content" id="comp-compare">
      <div class="section">
        <div class="field-2">
          <div class="field">
            <div class="field-row"><span class="label">Monthly Contribution</span><span class="label-value" id="v-cmp-mo">$500</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="cmp-mo" value="500" step="50" oninput="calcCmp()"></div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Annual Return</span><span class="label-value" id="v-cmp-rate">7%</span></div>
            <input type="range" class="slider" id="cmp-rate" min="1" max="12" value="7" step="0.5" oninput="calcCmp()">
          </div>
        </div>
        <div class="field" style="margin-top: 14px;">
          <div class="field-row"><span class="label">Retirement Age</span><span class="label-value" id="v-cmp-retire">65</span></div>
          <input type="range" class="slider" id="cmp-retire" min="55" max="75" value="65" oninput="calcCmp()">
        </div>
      </div>

      <div class="compare-grid">
        <div class="person-card" id="pa-card">
          <div class="winner-badge" id="winner-a" style="display:none;">Winner</div>
          <div class="person-title">The Early Starter</div>
          <div class="person-name"><em>Person A</em></div>
          <div class="person-inputs">
            <div class="person-input-field"><label>Start Age</label><input type="number" class="input" id="a-start" value="25" oninput="calcCmp()"></div>
            <div class="person-input-field"><label>Stop Age</label><input type="number" class="input" id="a-stop" value="35" oninput="calcCmp()"></div>
          </div>
          <div class="person-result">
            <div class="person-result-label">Balance at Retirement</div>
            <div class="person-result-value" id="a-result">$0</div>
            <div class="person-result-sub" id="a-sub">Invested $0 over 0 years</div>
          </div>
        </div>
        <div class="person-card" id="pb-card">
          <div class="winner-badge" id="winner-b" style="display:none;">Winner</div>
          <div class="person-title">The Late Starter</div>
          <div class="person-name"><em>Person B</em></div>
          <div class="person-inputs">
            <div class="person-input-field"><label>Start Age</label><input type="number" class="input" id="b-start" value="35" oninput="calcCmp()"></div>
            <div class="person-input-field"><label>Stop Age</label><input type="number" class="input" id="b-stop" value="65" oninput="calcCmp()"></div>
          </div>
          <div class="person-result">
            <div class="person-result-label">Balance at Retirement</div>
            <div class="person-result-value" id="b-result">$0</div>
            <div class="person-result-sub" id="b-sub">Invested $0 over 0 years</div>
          </div>
        </div>
      </div>

      <div class="compare-insight">
        <div class="compare-insight-label">The Punchline</div>
        <div class="compare-insight-text" id="cmp-insight">Adjust inputs above.</div>
      </div>

      <div class="section">
        <div class="section-title-row"><div class="section-title">Growth Curves</div>
          <div class="chart-legend"><div class="legend-item"><div class="legend-swatch sw-accent"></div>Person A</div><div class="legend-item"><div class="legend-swatch sw-navy"></div>Person B</div></div>
        </div>
        <div class="chart-container"><canvas id="cmp-chart"></canvas><div class="chart-crosshair" id="cmp-crosshair"></div><div class="chart-tooltip" id="cmp-tooltip"></div></div>
      </div>
    </div>

    <!-- SCENARIO COMPARISON -->
    <div class="mode-content" id="comp-scenario">
      <div style="background: var(--bg-muted); border-radius: 12px; padding: 16px 20px; margin-bottom: 20px; font-family: 'Lora', serif; font-style: italic; font-size: 14px; color: var(--text-muted); border-left: 3px solid var(--accent);">
        Build up to 3 scenarios with different assumptions. Watch them compete. Perfect for "what if..." conversations with clients.
      </div>

      <div id="scenarios-wrap">
        <!-- Scenario cards rendered by JS -->
      </div>

      <div style="text-align: center; margin: 16px 0 24px;">
        <button class="btn btn-secondary" id="add-scenario-btn" onclick="addScenario()">+ Add Scenario</button>
      </div>

      <div class="compare-insight" id="scenario-insight" style="display: none;">
        <div class="compare-insight-label">The Punchline</div>
        <div class="compare-insight-text" id="scenario-insight-text"></div>
      </div>

      <div class="section">
        <div class="section-title-row"><div class="section-title">Side-by-Side Growth</div>
          <div class="chart-legend" id="scenario-legend"></div>
        </div>
        <div class="chart-container"><canvas id="scenario-chart"></canvas><div class="chart-crosshair" id="scenario-crosshair"></div><div class="chart-tooltip" id="scenario-tooltip"></div></div>
      </div>

      <div class="section">
        <div class="section-title-row"><div class="section-title">Results at a Glance</div><div class="section-sub">all scenarios, all the math</div></div>
        <table class="tbl" id="scenario-table">
          <thead>
            <tr>
              <th>Scenario</th>
              <th>Monthly</th>
              <th>Return</th>
              <th>Years</th>
              <th>Total Invested</th>
              <th>Final Value</th>
              <th>Growth</th>
              <th>Multiple</th>
            </tr>
          </thead>
          <tbody id="scenario-table-body"></tbody>
        </table>
      </div>
    </div>

    <div class="disclaimer">Assumes constant returns and contributions made at the start of each period (annuity-due basis). Real markets are volatile. Past performance doesn't guarantee future results. Educational illustration only.</div>
  </div>
  <div class="view" id="view-capgains">
    <div class="back-bar">
      <div class="back-link" onclick="goHome()"><svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><line x1="19" y1="12" x2="5" y2="12"/><polyline points="12 19 5 12 12 5"/></svg>Back to Portal</div>
      <div class="back-breadcrumb">Tax Planning <span class="sep">/</span> <span class="current">Capital Gains Estimator</span></div>
    </div>
    <div class="calc-title-row">
      <h2 class="calc-title">Capital Gains <em>Estimator</em></h2>
      <p class="calc-subtitle">"If I sell this position, what's the tax bill?" — answered with bracket awareness.</p>
    </div>

    <div class="panel-two">
      <div class="input-panel">
        <div class="input-section">
          <div class="input-section-title">The Sale</div>
          <div class="field">
            <div class="field-row"><span class="label">Holding Period</span></div>
            <div class="quick-rates">
              <div class="quick-rate active" id="cg-hold-lt" onclick="setCGHold('lt')">Long-term (1+ yr)</div>
              <div class="quick-rate" id="cg-hold-st" onclick="setCGHold('st')">Short-term</div>
            </div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Input Style</span></div>
            <div class="quick-rates">
              <div class="quick-rate active" id="cg-input-gain" onclick="setCGInput('gain')">Gain only</div>
              <div class="quick-rate" id="cg-input-basis" onclick="setCGInput('basis')">Proceeds + basis</div>
            </div>
          </div>
          <div class="field" id="cg-gain-field">
            <div class="field-row"><span class="label">Gain Amount</span><span class="label-value" id="v-cg-gain">$50,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="cg-gain" value="50000" step="1000" oninput="calcCG()"></div>
          </div>
          <div class="field" id="cg-proceeds-field" style="display:none">
            <div class="field-row"><span class="label">Sale Proceeds</span><span class="label-value" id="v-cg-proceeds">$200,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="cg-proceeds" value="200000" step="1000" oninput="calcCG()"></div>
          </div>
          <div class="field" id="cg-basis-field" style="display:none">
            <div class="field-row"><span class="label">Cost Basis</span><span class="label-value" id="v-cg-basis">$150,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="cg-basis" value="150000" step="1000" oninput="calcCG()"></div>
          </div>
        </div>

        <div class="input-section">
          <div class="input-section-title">Client Tax Situation</div>
          <div class="field">
            <div class="field-row"><span class="label">Filing Status</span></div>
            <div class="quick-rates">
              <div class="quick-rate active" id="cg-fs-mfj" onclick="setCGFiling('mfj')">MFJ</div>
              <div class="quick-rate" id="cg-fs-single" onclick="setCGFiling('single')">Single</div>
            </div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Other Taxable Income</span><span class="label-value" id="v-cg-income">$150,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="cg-income" value="150000" step="5000" oninput="calcCG()"></div>
            <div class="section-sub" style="margin-top:4px">Taxable income before this gain — wages, interest, etc., minus deductions.</div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">State Tax Rate</span><span class="label-value" id="v-cg-state">4.25%</span></div>
            <input type="range" class="slider" id="cg-state" min="0" max="13" value="4.25" step="0.25" oninput="calcCG()">
            <div class="section-sub" style="margin-top:4px">Default Michigan flat 4.25%. Adjust for out-of-state clients.</div>
          </div>
        </div>
      </div>

      <div>
        <div class="verdict" id="cg-verdict">
          <div class="verdict-label">The Verdict</div>
          <div class="verdict-text" id="cg-verdict-text">Adjust the inputs to see the tax estimate.</div>
        </div>

        <div class="kpi-grid">
          <div class="kpi">
            <div class="kpi-label">Total Tax Bill</div>
            <div class="kpi-value accent" id="cg-kpi-total">$0</div>
            <div class="kpi-sub">Federal + NIIT + State</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Effective Rate on Gain</div>
            <div class="kpi-value" id="cg-kpi-eff">0.00%</div>
            <div class="kpi-sub">Tax ÷ gain</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Net After Tax</div>
            <div class="kpi-value" id="cg-kpi-net">$0</div>
            <div class="kpi-sub">Gain minus total tax</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Marginal Rate (Next $)</div>
            <div class="kpi-value" id="cg-kpi-marginal">0.0%</div>
            <div class="kpi-sub" id="cg-kpi-marginal-sub">If you sell more</div>
          </div>
        </div>

        <div class="section">
          <div class="section-title-row">
            <div class="section-title">Bracket Stack</div>
            <div class="chart-legend">
              <div class="legend-item"><div class="legend-swatch" style="background:var(--text-muted);opacity:0.4"></div>Other Income</div>
              <div class="legend-item"><div class="legend-swatch sw-accent"></div>This Gain</div>
            </div>
          </div>
          <div class="chart-container" style="height:200px"><canvas id="cg-chart"></canvas></div>
          <div class="section-sub" style="margin-top:8px;text-align:center">The gain stacks on top of other taxable income. Each LTCG bracket boundary is a planning lever.</div>
        </div>

        <div class="section">
          <div class="section-title-row"><div class="section-title">Tax Breakdown</div><div class="section-sub">where the bill comes from</div></div>
          <table class="tbl">
            <thead><tr><th>Component</th><th>Amount Taxed</th><th>Rate</th><th>Tax</th></tr></thead>
            <tbody id="cg-breakdown"></tbody>
          </table>
        </div>

        <div class="disclaimer">Uses 2026 IRS LTCG brackets (Rev. Proc. 2025-32) and ordinary income brackets for short-term gains. NIIT thresholds ($200K single / $250K MFJ MAGI) are not inflation-indexed. Treats taxable income as a MAGI proxy — close enough for most clients but technically MAGI adds back foreign income exclusion and a few other rare items. Net losses, loss carryforwards, AMT, QBI deduction, and Section 1250/1202/collectibles special rates are not modeled — net those manually before entering the gain. Head of household and MFS not yet supported. State tax is treated as a flat rate; for graduated state systems, this approximates. Verify with a CPA before using in a deliverable.</div>
      </div>
    </div>
  </div>

  <div class="view" id="view-mortgage">
    <div class="back-bar">
      <div class="back-link" onclick="goHome()"><svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><line x1="19" y1="12" x2="5" y2="12"/><polyline points="12 19 5 12 12 5"/></svg>Back to Portal</div>
      <div class="back-breadcrumb">Cash Flow <span class="sep">/</span> <span class="current">Pay Down vs. Invest</span></div>
    </div>
    <div class="calc-title-row">
      <h2 class="calc-title">Pay Down <em>vs. Invest</em></h2>
      <p class="calc-subtitle">Should that extra cash flow go to the mortgage or the portfolio?</p>
    </div>

    <div class="panel-two">
      <div class="input-panel">
        <div class="input-section">
          <div class="input-section-title">Mortgage</div>
          <div class="field">
            <div class="field-row"><span class="label">Current Balance</span><span class="label-value" id="v-mtg-bal">$300,000</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="mtg-bal" value="300000" step="1000" oninput="calcMortgage()"></div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Interest Rate</span><span class="label-value" id="v-mtg-rate">6.50%</span></div>
            <input type="range" class="slider" id="mtg-rate" min="2" max="10" value="6.5" step="0.125" oninput="calcMortgage()">
            <div class="section-sub" style="margin-top:4px">If client itemizes, drop this to reflect after-tax cost: rate × (1 − marginal bracket).</div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Years Remaining</span><span class="label-value" id="v-mtg-yrs">30 yr</span></div>
            <input type="range" class="slider" id="mtg-yrs" min="1" max="30" value="30" step="1" oninput="calcMortgage()">
          </div>
          <div class="field-row" style="margin-top:8px"><span class="label">Monthly P&amp;I</span><span class="label-value accent" id="v-mtg-pi">$1,896</span></div>
        </div>

        <div class="input-section">
          <div class="input-section-title">The Decision</div>
          <div class="field">
            <div class="field-row"><span class="label">Extra Monthly Cash Flow</span><span class="label-value" id="v-mtg-extra">$500</span></div>
            <div class="input-wrap"><span class="input-prefix">$</span><input type="number" class="input with-prefix" id="mtg-extra" value="500" step="50" oninput="calcMortgage()"></div>
            <div class="section-sub" style="margin-top:4px">Available each month beyond the normal P&amp;I. Pay Down sends it to principal; Invest sends it to a brokerage or IRA. Same dollars either way.</div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Expected Annual Return</span><span class="label-value" id="v-mtg-ret">7.00%</span></div>
            <input type="range" class="slider" id="mtg-ret" min="3" max="12" value="7" step="0.25" oninput="calcMortgage()">
            <div class="section-sub" style="margin-top:4px">After-tax. Use ~7% for IRA/401(k); shave 0.5–1% for taxable brokerage.</div>
          </div>
          <div class="field">
            <div class="field-row"><span class="label">Stress-Test Return</span><span class="label-value" id="v-mtg-stress">4.00%</span></div>
            <input type="range" class="slider" id="mtg-stress" min="0" max="8" value="4" step="0.25" oninput="calcMortgage()">
            <div class="section-sub" style="margin-top:4px">A defensible "bad-case" — roughly the historical real (after-inflation) return on a 60/40.</div>
          </div>
        </div>
      </div>

      <div>
        <div class="verdict" id="mtg-verdict">
          <div class="verdict-label">The Verdict</div>
          <div class="verdict-text" id="mtg-verdict-text">Adjust the inputs to see the recommendation.</div>
        </div>

        <div class="kpi-grid">
          <div class="kpi">
            <div class="kpi-label">Spread</div>
            <div class="kpi-value accent" id="mtg-kpi-spread">+0.50%</div>
            <div class="kpi-sub">Investment edge over mortgage</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Years to Payoff</div>
            <div class="kpi-value" id="mtg-kpi-payoff">17.5 yr</div>
            <div class="kpi-sub">With extra principal applied</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Interest Saved</div>
            <div class="kpi-value" id="mtg-kpi-intsaved">$0</div>
            <div class="kpi-sub">From paying down faster</div>
          </div>
          <div class="kpi">
            <div class="kpi-label">Net Wealth Difference</div>
            <div class="kpi-value" id="mtg-kpi-diff">$0</div>
            <div class="kpi-sub" id="mtg-kpi-diff-sub">At original payoff date</div>
          </div>
        </div>

        <div class="section">
          <div class="section-title-row">
            <div class="section-title">Pay Down vs. Invest the Difference</div>
            <div class="chart-legend">
              <div class="legend-item"><div class="legend-swatch sw-accent"></div>Pay Down Mortgage</div>
              <div class="legend-item"><div class="legend-swatch sw-navy"></div>Invest the Extra</div>
            </div>
          </div>
          <div class="chart-container"><canvas id="mtg-chart"></canvas><div class="chart-crosshair" id="mtg-crosshair"></div><div class="chart-tooltip" id="mtg-tooltip"></div></div>
        </div>

        <div class="section">
          <div class="section-title-row"><div class="section-title">Side-by-Side at Payoff Horizon</div><div class="section-sub">same monthly out-of-pocket, different paths</div></div>
          <table class="tbl">
            <thead><tr><th>Strategy</th><th>Payoff</th><th>Investment Account</th><th>Mortgage Owed</th><th>Net Wealth</th></tr></thead>
            <tbody id="mtg-side-by-side"></tbody>
          </table>
        </div>

        <div class="section">
          <div class="section-title-row"><div class="section-title">Stress Test: What If Returns Disappoint?</div><div class="section-sub">does the answer flip under tougher conditions?</div></div>
          <table class="tbl">
            <thead><tr><th>Scenario</th><th>Pay Down Wins By</th><th>Invest Wins By</th><th>Verdict</th></tr></thead>
            <tbody id="mtg-stress-rows"></tbody>
          </table>
        </div>

        <div class="disclaimer">Compares two strategies with the same monthly out-of-pocket cost over the original mortgage term. Strategy A applies the extra to principal until payoff, then invests the freed-up full payment for the remainder. Strategy B makes minimum payments and invests the extra throughout. Use the after-tax mortgage rate (rate × (1 − marginal bracket) if the client itemizes) and after-tax expected return (shave ~0.5–1% off pretax for taxable brokerage). Mortgage payoff is a guaranteed return; investment return is expected, not guaranteed. Does not model: PMI removal, escrow changes, refinancing, sequence-of-returns risk, or the behavioral gap (clients who plan to "invest the difference" don't always actually invest it).</div>
      </div>
    </div>
  </div>

  <div class="footer-disclosure">
    <p class="fd-firm">Investment advisory and financial planning services offered through Advisory Alpha, LLC, a Registered Investment Advisor. Insurance, coaching, and education services offered through Vision Financial Group. Vision Financial Group is a separate and unaffiliated entity from Advisory Alpha, LLC.</p>
    <p>© Advisory Alpha. Registration with the SEC or state does not constitute an endorsement of the firm by regulators, nor does it indicate that the adviser has attained a particular level of skill or ability. This content is for informational purposes only and does not intend to make an offer or solicitation for sale or purchase of any securities. Investing involves risk, including the potential loss of principal. No investment strategy, such as asset allocation or diversification, can guarantee a profit or protect against loss in periods of declining values. All investment strategies involve risk and have the potential for profit or loss. Changes in investment strategies, contributions or withdrawals, and economic conditions may materially affect the performance of your portfolio. There are no assurances that a portfolio will match or outperform any particular benchmark. Investors should carefully consider the investment objectives, risks, fees and expenses before investing. Any financial services firms referenced in this material do not provide tax or legal advice. Please consult with your tax or legal professional regarding specific issues prior to making a tax or legal decision. While your financial advisor may provide information relative to taxes, insurance and estate planning, the Registered Investment Advisor does not offer tax, insurance, or legal services. Any decisions relative to these topics should be discussed with a tax, insurance or legal professional prior to implementation. As required by the IRS, you are advised that any discussion of tax issues in this material is not intended or written to be used, and cannot be used, (a) to avoid penalties imposed under the Internal Revenue Code or (b) to promote, market or recommend to another party any transaction or matter addressed herein. All tax information is provided for illustrative purposes only, does not reflect an actual investor, and is not intended to predict your specific tax liabilities. Tax rates vary based on your situation and change over time. Income from municipal bonds may be subject to the Alternative Minimum Tax (AMT), and capital appreciation from discounted bonds may be subject to state or local taxes. Capital gains are not exempt from federal income tax. Any comments regarding principal protected or guaranteed investments refer only to certain annuity products or structured products. The four Quadrant Plan components are generic classifications and are not intended to be specific to the purpose or objective of every investment. The term Protection indicates that the asset or strategy employs a risk management approach striving for downside protection, and does not imply that the associated investments are risk-free or guaranteed. All investments will fluctuate in value and could result in the loss of principal. All investments have risk of loss. Certain annuities, such as fixed and fixed indexed annuities may offer guarantees which are backed by the financial strength and claims-paying ability of the issuing insurance company.</p>
  </div>

  <div class="footer">
    Vision Financial Group
    <em>Educational illustrations only. Verify with compliance before using any output in a client deliverable.</em>
  </div>
</div>

<div class="toast" id="toast"></div>

<script>
  /* ==================== PORTAL DATA ==================== */
  const CALCULATORS = [
    { id: 'compounding', view: 'view-compounding', title: 'Compound Growth', desc: 'Lump sum, DCA, and the classic "start early vs late" comparison. See how starting early changes everything.', category: 'Investment', status: 'ready', icon: 'trending', tags: 'compound interest rule 72 dca dollar cost average early late growth' },
    { id: 'capgains', view: 'view-capgains', title: 'Capital Gains Estimator', desc: 'Tax impact of selling a position with bracket-stacking awareness — LTCG, NIIT, and state tax all included.', category: 'Tax Planning', status: 'ready', icon: 'tax', tags: 'capital gains tax ltcg niit long term short term cost basis bracket stacking 2026' },
    { id: 'mortgage', view: 'view-mortgage', title: 'Pay Down vs. Invest', desc: 'Should that extra cash flow go to the mortgage or the portfolio? Side-by-side at the same monthly cost.', category: 'Cash Flow', status: 'ready', icon: 'home', tags: 'mortgage pay down extra principal invest opportunity cost itemize standard deduction tax drag stress test' }
  ];

  const ICONS = {
    trending: '<path d="M23 6l-9.5 9.5-5-5L1 18"/><polyline points="17 6 23 6 23 12"/>',
    calendar: '<rect x="3" y="4" width="18" height="18" rx="2" ry="2"/><line x1="16" y1="2" x2="16" y2="6"/><line x1="8" y1="2" x2="8" y2="6"/><line x1="3" y1="10" x2="21" y2="10"/>',
    percent: '<line x1="19" y1="5" x2="5" y2="19"/><circle cx="6.5" cy="6.5" r="2.5"/><circle cx="17.5" cy="17.5" r="2.5"/>',
    shield: '<path d="M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z"/>',
    inherit: '<path d="M12 2v20M5 8l7-7 7 7M5 16l7 7 7-7"/>',
    flag: '<path d="M4 15s1-1 4-1 5 2 8 2 4-1 4-1V3s-1 1-4 1-5-2-8-2-4 1-4 1z"/><line x1="4" y1="22" x2="4" y2="15"/>',
    convert: '<polyline points="17 1 21 5 17 9"/><path d="M3 11V9a4 4 0 0 1 4-4h14"/><polyline points="7 23 3 19 7 15"/><path d="M21 13v2a4 4 0 0 1-4 4H3"/>',
    tax: '<path d="M12 2L2 7l10 5 10-5-10-5zM2 17l10 5 10-5M2 12l10 5 10-5"/>',
    home: '<path d="M3 9l9-7 9 7v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z"/><polyline points="9 22 9 12 15 12 15 22"/>'
  };

  let currentCategory = 'all';
  let currentTheme = 'light';

  /* ==================== THEME + PERSISTENCE ==================== */
  const hasClaudeStorage = typeof window.storage !== 'undefined' && window.storage !== null;
  async function storeGet(key) {
    if (hasClaudeStorage) { try { const r = await window.storage.get(key); return r ? r.value : null; } catch (e) {} }
    try { return localStorage.getItem('vfg_portal_' + key); } catch (e) { return null; }
  }
  async function storeSet(key, value) {
    try { localStorage.setItem('vfg_portal_' + key, value); } catch (e) {}
    if (hasClaudeStorage) { try { await window.storage.set(key, value); } catch (e) {} }
  }

  async function initTheme() {
    const t = await storeGet('theme');
    currentTheme = t || 'light';
    applyTheme();
  }
  function applyTheme() {
    document.documentElement.setAttribute('data-theme', currentTheme);
    document.getElementById('theme-icon-light').style.display = currentTheme === 'light' ? 'block' : 'none';
    document.getElementById('theme-icon-dark').style.display = currentTheme === 'dark' ? 'block' : 'none';
    recalcActive();
  }
  async function toggleTheme() {
    currentTheme = currentTheme === 'light' ? 'dark' : 'light';
    applyTheme();
    await storeSet('theme', currentTheme);
  }

  /* ==================== TOAST ==================== */
  let toastTimer;
  function showToast(msg) {
    const t = document.getElementById('toast');
    t.textContent = msg;
    t.classList.add('show');
    clearTimeout(toastTimer);
    toastTimer = setTimeout(() => t.classList.remove('show'), 2000);
  }

  /* ==================== NAV ==================== */
  function goHome() {
    document.querySelectorAll('.view').forEach(v => v.classList.remove('active'));
    document.getElementById('view-home').classList.add('active');
    window.scrollTo({ top: 0, behavior: 'smooth' });
    storeSet('lastView', 'home');
  }
  function openCalc(viewId) {
    document.querySelectorAll('.view').forEach(v => v.classList.remove('active'));
    document.getElementById(viewId).classList.add('active');
    window.scrollTo({ top: 0, behavior: 'smooth' });
    storeSet('lastView', viewId);
    setTimeout(recalcActive, 100);
  }
  function recalcActive() {
    const active = document.querySelector('.view.active');
    if (!active) return;
    const id = active.id;
    if (id === 'view-compounding') { calcLump(); calcRec(); calcCmp(); }
    if (id === 'view-rmd') calcRMD();
    if (id === 'view-tey') calcTEY();
    if (id === 'view-swr') calcSWR();
    if (id === 'view-ss') { renderSSScenarios(); calcSS(); }
    if (id === 'view-mortgage') calcMortgage();
    if (id === 'view-capgains') calcCG();
  }

  function setCategory(cat, btn) {
    currentCategory = cat;
    document.querySelectorAll('.cat-tab').forEach(t => t.classList.remove('active'));
    btn.classList.add('active');
    renderGrid();
  }

  function renderGrid() {
    const grid = document.getElementById('calc-grid');
    const search = document.getElementById('search-input').value.toLowerCase().trim();
    const filtered = CALCULATORS.filter(c => {
      if (currentCategory !== 'all' && c.category !== currentCategory) return false;
      if (search) {
        const hay = (c.title + ' ' + c.desc + ' ' + c.tags).toLowerCase();
        if (!hay.includes(search)) return false;
      }
      return true;
    });

    if (filtered.length === 0) {
      grid.innerHTML = '<div class="empty-search" style="grid-column: 1/-1;"><strong>No calculators match your search</strong>Try a different term or clear filters.</div>';
      return;
    }

    grid.innerHTML = filtered.map(c => {
      const isSoon = c.status === 'soon';
      const badge = isSoon
        ? '<span class="calc-card-badge soon">Coming Soon</span>'
        : '<span class="calc-card-badge new">Ready</span>';
      return `
        <div class="calc-card${isSoon ? ' coming-soon' : ''}" onclick="openCalc('${c.view}')">
          <div class="calc-card-header">
            <div class="calc-card-icon">
              <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">${ICONS[c.icon]}</svg>
            </div>
            ${badge}
          </div>
          <div class="calc-card-title">${c.title}</div>
          <div class="calc-card-desc">${c.desc}</div>
          <div class="calc-card-meta">
            <span>${c.category}</span>
            <span class="calc-card-arrow">→</span>
          </div>
        </div>
      `;
    }).join('');
  }

  /* ==================== UTILS ==================== */
  const fmt = (n) => {
    if (!isFinite(n)) return '—';
    if (Math.abs(n) >= 1000000) {
      const m = n / 1000000;
      return '$' + (m >= 10 ? m.toFixed(1) : m.toFixed(2)) + 'M';
    }
    if (Math.abs(n) >= 1000) return '$' + Math.round(n / 1000) + 'K';
    return '$' + Math.round(n).toLocaleString();
  };
  const fmtFull = (n) => '$' + Math.round(n).toLocaleString();
  const fmtPct = (n, d = 2) => isFinite(n) ? n.toFixed(d) + '%' : '—';
  const val = (id) => parseFloat(document.getElementById(id).value) || 0;

  function getCssVar(name) {
    return getComputedStyle(document.documentElement).getPropertyValue(name).trim();
  }

  /* ==================== COMPOUNDING MACHINE ==================== */
  function showCompMode(m, btn) {
    document.querySelectorAll('#view-compounding .mode-btn').forEach(t => t.classList.remove('active'));
    document.querySelectorAll('#view-compounding .mode-content').forEach(c => c.classList.remove('active'));
    btn.classList.add('active');
    document.getElementById('comp-' + m).classList.add('active');
    setTimeout(() => {
      calcLump(); calcRec(); calcCmp();
      if (m === 'scenario') {
        renderScenarios();
        calcScenarios();
      }
    }, 50);
  }

  function setLumpRate(r) {
    document.getElementById('lump-rate').value = r;
    document.querySelectorAll('#comp-lump .quick-rate').forEach(el => el.classList.remove('active'));
    event.target.classList.add('active');
    calcLump();
  }
  function setRecRate(r) {
    document.getElementById('rec-rate').value = r;
    document.querySelectorAll('#comp-recurring .quick-rate').forEach(el => el.classList.remove('active'));
    event.target.classList.add('active');
    calcRec();
  }

  function calcLump() {
    const amt = val('lump-amt'), rate = val('lump-rate'), yrs = val('lump-yrs'), freq = val('lump-freq');
    document.getElementById('v-lump-amt').textContent = fmtFull(amt);
    document.getElementById('v-lump-rate').textContent = rate + '%';
    document.getElementById('v-lump-yrs').textContent = yrs + ' yr';
    document.getElementById('v-lump-freq').textContent = { 1: 'Annually', 4: 'Quarterly', 12: 'Monthly', 365: 'Daily' }[freq];

    const yearData = [];
    for (let y = 0; y <= yrs; y++) {
      const fv = amt * Math.pow(1 + (rate / 100) / freq, freq * y);
      yearData.push({ year: y, value: fv, principal: amt });
    }
    const finalVal = yearData[yearData.length - 1].value;
    document.getElementById('lump-hero').textContent = fmtFull(finalVal);
    document.getElementById('lump-invest').textContent = fmtFull(amt);
    document.getElementById('lump-growth').textContent = fmtFull(finalVal - amt);
    document.getElementById('lump-mult').textContent = (finalVal / amt).toFixed(1) + 'x';

    const yrsToDouble = rate > 0 ? 72 / rate : Infinity;
    document.getElementById('r72-yrs').textContent = yrsToDouble.toFixed(1);
    document.getElementById('r72-text').innerHTML = `At <em>${rate}%</em>, money doubles every <em>${yrsToDouble.toFixed(1)} years</em>.`;

    const doublings = document.getElementById('doublings');
    doublings.innerHTML = '';
    for (let i = 1; i <= 4; i++) {
      const yr = yrsToDouble * i;
      const v2 = amt * Math.pow(2, i);
      const box = document.createElement('div');
      box.className = 'doubling-box';
      box.innerHTML = `<div class="doubling-label">${i}${['st','nd','rd','th'][i-1]} Double</div><div class="doubling-value">${fmtFull(v2)}</div><div class="doubling-year">Year ${yr.toFixed(1)}</div>`;
      doublings.appendChild(box);
    }

    const miles = document.getElementById('lump-miles');
    miles.innerHTML = '';
    getCheckpoints(yrs).forEach(yr => {
      const fv = amt * Math.pow(1 + (rate / 100) / freq, freq * yr);
      miles.innerHTML += `<div class="milestone"><div class="milestone-year">Year ${yr}</div><div class="milestone-val">${fmt(fv)}</div></div>`;
    });

    drawStackedChart('lump-chart', yearData, 'principal', 'value');
  }

  function calcRec() {
    const start = val('rec-start'), contrib = val('rec-contrib'), rate = val('rec-rate'), yrs = val('rec-yrs'), raise = val('rec-raise'), freq = parseInt(document.getElementById('rec-freq').value);
    const labels = { 12: 'Monthly', 4: 'Quarterly', 1: 'Annually' };
    const contribLabels = { 12: 'Monthly Contribution', 4: 'Quarterly Contribution', 1: 'Annual Contribution' };
    document.getElementById('v-rec-start').textContent = fmtFull(start);
    document.getElementById('v-rec-freq').textContent = labels[freq];
    document.getElementById('rec-contrib-lbl').textContent = contribLabels[freq];
    document.getElementById('v-rec-contrib').textContent = fmtFull(contrib);
    document.getElementById('v-rec-rate').textContent = rate + '%';
    document.getElementById('v-rec-yrs').textContent = yrs + ' yr';
    document.getElementById('v-rec-raise').textContent = raise + '%';

    const periodRate = (rate / 100) / freq;
    let balance = start, totalContrib = start, currentContrib = contrib;
    const yearData = [{ year: 0, value: start, contrib: start }];
    for (let y = 1; y <= yrs; y++) {
      for (let p = 0; p < freq; p++) {
        balance += currentContrib;
        balance *= (1 + periodRate);
        totalContrib += currentContrib;
      }
      yearData.push({ year: y, value: balance, contrib: totalContrib });
      currentContrib *= (1 + raise / 100);
    }
    const finalVal = yearData[yearData.length - 1].value;
    document.getElementById('rec-hero').textContent = fmtFull(finalVal);
    document.getElementById('rec-invest').textContent = fmtFull(totalContrib);
    document.getElementById('rec-growth').textContent = fmtFull(finalVal - totalContrib);
    document.getElementById('rec-income').textContent = fmtFull(finalVal * 0.04 / 12) + '/mo';

    const miles = document.getElementById('rec-miles');
    miles.innerHTML = '';
    getCheckpoints(yrs).forEach(yr => {
      const d = yearData[yr] || yearData[yearData.length - 1];
      miles.innerHTML += `<div class="milestone"><div class="milestone-year">Year ${yr}</div><div class="milestone-val">${fmt(d.value)}</div></div>`;
    });
    drawStackedChart('rec-chart', yearData, 'contrib', 'value');
  }

  function calcCmp() {
    const mo = val('cmp-mo'), rate = val('cmp-rate'), retire = val('cmp-retire');
    const aStart = val('a-start'), aStop = val('a-stop'), bStart = val('b-start'), bStop = val('b-stop');
    document.getElementById('v-cmp-mo').textContent = fmtFull(mo);
    document.getElementById('v-cmp-rate').textContent = rate + '%';
    document.getElementById('v-cmp-retire').textContent = retire;

    const monthlyRate = (rate / 100) / 12;
    const youngest = Math.min(aStart, bStart);
    function sim(st, sp) {
      let bal = 0, tot = 0;
      const yrsToRet = retire - youngest;
      const data = [];
      for (let yIdx = 0; yIdx <= yrsToRet; yIdx++) {
        const age = youngest + yIdx;
        data.push({ age, balance: bal });
        if (yIdx === yrsToRet) break;
        for (let m = 0; m < 12; m++) {
          const nextAge = age + (m / 12);
          if (nextAge >= st && nextAge < sp) { bal += mo; tot += mo; }
          bal *= (1 + monthlyRate);
        }
      }
      return { data, finalBalance: bal, totalContrib: tot, yearsContrib: Math.max(0, sp - st) };
    }
    const a = sim(aStart, aStop), b = sim(bStart, bStop);

    document.getElementById('a-result').textContent = fmtFull(a.finalBalance);
    document.getElementById('a-sub').textContent = `Invested ${fmtFull(a.totalContrib)} over ${a.yearsContrib} years`;
    document.getElementById('b-result').textContent = fmtFull(b.finalBalance);
    document.getElementById('b-sub').textContent = `Invested ${fmtFull(b.totalContrib)} over ${b.yearsContrib} years`;

    document.getElementById('pa-card').classList.toggle('winner', a.finalBalance > b.finalBalance);
    document.getElementById('pb-card').classList.toggle('winner', b.finalBalance > a.finalBalance);
    document.getElementById('winner-a').style.display = a.finalBalance > b.finalBalance ? 'block' : 'none';
    document.getElementById('winner-b').style.display = b.finalBalance > a.finalBalance ? 'block' : 'none';

    const diff = Math.abs(a.finalBalance - b.finalBalance);
    const contribDiff = Math.abs(a.totalContrib - b.totalContrib);
    let txt;
    if (a.totalContrib === 0 && b.totalContrib === 0) txt = 'Adjust inputs above.';
    else if (a.finalBalance > b.finalBalance && a.totalContrib < b.totalContrib) {
      txt = `<em>Person A invested ${fmtFull(contribDiff)} LESS</em> than Person B — and still ended up with <em>${fmtFull(diff)} MORE</em>. That's compounding doing the heavy lifting.`;
    } else if (a.finalBalance > b.finalBalance) {
      txt = `<em>Person A ends with ${fmtFull(diff)} more</em> than Person B. Starting early beats starting big.`;
    } else if (b.totalContrib > a.totalContrib * 2) {
      txt = `Person B invested <em>${(b.totalContrib / a.totalContrib).toFixed(1)}x more money</em> than Person A to end up with ${fmtFull(diff)} more. Time matters more than timing.`;
    } else {
      txt = `Person B ends with ${fmtFull(diff)} more — but invested ${fmtFull(contribDiff)} more to get there.`;
    }
    document.getElementById('cmp-insight').innerHTML = txt;
    drawCompareChart('cmp-chart', a.data, b.data);
  }

  /* ==================== SCENARIO COMPARISON ==================== */
  const SCENARIO_COLORS = ['--accent', '--navy', '--green'];
  const SCENARIO_NAMES = ['Current Plan', 'Aggressive', 'Late Retirement'];
  const SCENARIO_DEFAULTS = [
    { name: 'Current Plan', monthly: 500, rate: 7, years: 30, start: 0 },
    { name: 'Aggressive', monthly: 1000, rate: 8, years: 30, start: 0 },
    { name: 'Late Retirement', monthly: 500, rate: 7, years: 35, start: 0 }
  ];
  let scenarios = JSON.parse(JSON.stringify(SCENARIO_DEFAULTS)); // clone

  function renderScenarios() {
    const wrap = document.getElementById('scenarios-wrap');
    if (!wrap) return;

    wrap.innerHTML = '';

    const gridCols = scenarios.length === 1 ? '1fr' : scenarios.length === 2 ? '1fr 1fr' : '1fr 1fr 1fr';
    wrap.innerHTML = `<div style="display: grid; grid-template-columns: ${gridCols}; gap: 14px;">` +
      scenarios.map((s, idx) => {
        const color = 'var(' + SCENARIO_COLORS[idx] + ')';
        return `
          <div style="background: var(--bg-elevated); border: 1px solid var(--border); border-left: 4px solid ${color}; border-radius: 12px; padding: 20px 22px;">
            <div style="display: flex; align-items: center; justify-content: space-between; margin-bottom: 16px;">
              <input type="text" value="${escapeAttr(s.name)}"
                style="background: transparent; border: none; font-family: 'Lora', serif; font-size: 18px; font-weight: 500; color: var(--text); flex: 1; outline: none; padding: 2px 0; border-bottom: 1px dashed transparent;"
                onfocus="this.style.borderBottomColor='var(--border)'" onblur="this.style.borderBottomColor='transparent'"
                oninput="updateScenarioName(${idx}, this.value)" />
              ${scenarios.length > 1 ? `<button onclick="removeScenario(${idx})" style="background: transparent; border: none; color: var(--text-subtle); cursor: pointer; padding: 4px 6px; font-size: 16px; border-radius: 4px; margin-left: 8px;" onmouseover="this.style.color='var(--danger)'" onmouseout="this.style.color='var(--text-subtle)'" title="Remove">×</button>` : ''}
            </div>

            <div style="margin-bottom: 12px;">
              <div style="display: flex; justify-content: space-between; align-items: baseline; margin-bottom: 5px;">
                <span style="font-family: 'Poppins', sans-serif; font-size: 11px; font-weight: 500; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.08em;">Monthly</span>
                <span style="font-family: 'Poppins', sans-serif; font-size: 12px; font-weight: 600; color: ${color};">${fmtFull(s.monthly)}</span>
              </div>
              <div style="position: relative;">
                <span style="position: absolute; left: 12px; top: 50%; transform: translateY(-50%); color: var(--text-muted); font-family: 'Poppins', sans-serif; font-size: 13px; pointer-events: none;">$</span>
                <input type="number" value="${s.monthly}" step="50"
                  style="width: 100%; padding: 8px 12px 8px 24px; border: 1px solid var(--border); border-radius: 7px; font-family: 'Lora', serif; font-size: 13px; color: var(--text); background: var(--bg);"
                  oninput="updateScenario(${idx}, 'monthly', this.value)" />
              </div>
            </div>

            <div style="margin-bottom: 12px;">
              <div style="display: flex; justify-content: space-between; align-items: baseline; margin-bottom: 5px;">
                <span style="font-family: 'Poppins', sans-serif; font-size: 11px; font-weight: 500; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.08em;">Annual Return</span>
                <span style="font-family: 'Poppins', sans-serif; font-size: 12px; font-weight: 600; color: ${color};">${s.rate}%</span>
              </div>
              <input type="range" class="slider" min="1" max="15" value="${s.rate}" step="0.25"
                oninput="updateScenario(${idx}, 'rate', this.value)" />
            </div>

            <div style="margin-bottom: 12px;">
              <div style="display: flex; justify-content: space-between; align-items: baseline; margin-bottom: 5px;">
                <span style="font-family: 'Poppins', sans-serif; font-size: 11px; font-weight: 500; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.08em;">Years</span>
                <span style="font-family: 'Poppins', sans-serif; font-size: 12px; font-weight: 600; color: ${color};">${s.years} yr</span>
              </div>
              <input type="range" class="slider" min="1" max="50" value="${s.years}" step="1"
                oninput="updateScenario(${idx}, 'years', this.value)" />
            </div>

            <div style="margin-bottom: 14px;">
              <div style="display: flex; justify-content: space-between; align-items: baseline; margin-bottom: 5px;">
                <span style="font-family: 'Poppins', sans-serif; font-size: 11px; font-weight: 500; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.08em;">Starting Balance</span>
                <span style="font-family: 'Poppins', sans-serif; font-size: 12px; font-weight: 600; color: ${color};">${fmtFull(s.start)}</span>
              </div>
              <div style="position: relative;">
                <span style="position: absolute; left: 12px; top: 50%; transform: translateY(-50%); color: var(--text-muted); font-family: 'Poppins', sans-serif; font-size: 13px; pointer-events: none;">$</span>
                <input type="number" value="${s.start}" step="1000"
                  style="width: 100%; padding: 8px 12px 8px 24px; border: 1px solid var(--border); border-radius: 7px; font-family: 'Lora', serif; font-size: 13px; color: var(--text); background: var(--bg);"
                  oninput="updateScenario(${idx}, 'start', this.value)" />
              </div>
            </div>

            <div style="padding: 16px 18px; background: var(--bg-muted); border-radius: 10px; text-align: center;">
              <div style="font-family: 'Poppins', sans-serif; font-size: 10px; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.1em; margin-bottom: 4px;">Final Value</div>
              <div style="font-family: 'Lora', serif; font-size: 26px; font-weight: 500; color: ${color}; letter-spacing: -0.02em; line-height: 1;" id="scen-result-${idx}">$0</div>
              <div style="font-family: 'Lora', serif; font-style: italic; font-size: 12px; color: var(--text-muted); margin-top: 6px;" id="scen-sub-${idx}">—</div>
            </div>
          </div>
        `;
      }).join('') +
    '</div>';

    // Update add button state
    const addBtn = document.getElementById('add-scenario-btn');
    if (addBtn) {
      addBtn.disabled = scenarios.length >= 3;
      addBtn.style.opacity = scenarios.length >= 3 ? '0.4' : '1';
      addBtn.style.cursor = scenarios.length >= 3 ? 'not-allowed' : 'pointer';
      addBtn.textContent = scenarios.length >= 3 ? 'Max 3 scenarios' : '+ Add Scenario';
    }

    // Update legend
    const legend = document.getElementById('scenario-legend');
    if (legend) {
      legend.innerHTML = scenarios.map((s, i) =>
        `<div class="legend-item"><div class="legend-swatch" style="background: var(${SCENARIO_COLORS[i]});"></div>${escapeHtml(s.name)}</div>`
      ).join('');
    }
  }

  function escapeAttr(s) {
    return (s || '').replace(/"/g, '&quot;').replace(/</g, '&lt;').replace(/>/g, '&gt;');
  }
  function escapeHtml(s) {
    return (s || '').replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;');
  }

  function updateScenario(idx, field, value) {
    scenarios[idx][field] = parseFloat(value) || 0;
    renderScenarios();
    calcScenarios();
  }

  function updateScenarioName(idx, value) {
    scenarios[idx].name = value;
    // Only update legend — don't re-render cards (would steal focus)
    const legend = document.getElementById('scenario-legend');
    if (legend) {
      legend.innerHTML = scenarios.map((s, i) =>
        `<div class="legend-item"><div class="legend-swatch" style="background: var(${SCENARIO_COLORS[i]});"></div>${escapeHtml(s.name)}</div>`
      ).join('');
    }
    calcScenarios();
  }

  function addScenario() {
    if (scenarios.length >= 3) return;
    const templates = [
      { name: 'Aggressive', monthly: 1000, rate: 8, years: 30, start: 0 },
      { name: 'Conservative', monthly: 300, rate: 5, years: 30, start: 0 }
    ];
    const newScen = templates[scenarios.length - 1] || { name: `Scenario ${scenarios.length + 1}`, monthly: 500, rate: 7, years: 30, start: 0 };
    scenarios.push(newScen);
    renderScenarios();
    calcScenarios();
  }

  function removeScenario(idx) {
    if (scenarios.length <= 1) return;
    scenarios.splice(idx, 1);
    renderScenarios();
    calcScenarios();
  }

  function simulateScenario(s) {
    const monthlyRate = (s.rate / 100) / 12;
    let balance = s.start;
    let totalContrib = s.start;
    const data = [{ year: 0, balance, contrib: totalContrib }];
    for (let y = 1; y <= s.years; y++) {
      for (let m = 0; m < 12; m++) {
        balance += s.monthly;
        balance *= (1 + monthlyRate);
        totalContrib += s.monthly;
      }
      data.push({ year: y, balance, contrib: totalContrib });
    }
    return { data, finalBalance: balance, totalContrib, growth: balance - totalContrib };
  }

  function calcScenarios() {
    const results = scenarios.map(s => ({ scenario: s, result: simulateScenario(s) }));

    // Update per-scenario final values
    results.forEach((r, idx) => {
      const resEl = document.getElementById(`scen-result-${idx}`);
      const subEl = document.getElementById(`scen-sub-${idx}`);
      if (resEl) resEl.textContent = fmtFull(r.result.finalBalance);
      if (subEl) {
        const multiple = r.result.totalContrib > 0 ? (r.result.finalBalance / r.result.totalContrib).toFixed(1) : '—';
        subEl.textContent = `Invested ${fmtFull(r.result.totalContrib)} → grew to ${multiple}x`;
      }
    });

    // Table
    const tbody = document.getElementById('scenario-table-body');
    if (tbody) {
      tbody.innerHTML = '';
      results.forEach((r, idx) => {
        const color = 'var(' + SCENARIO_COLORS[idx] + ')';
        const multiple = r.result.totalContrib > 0 ? (r.result.finalBalance / r.result.totalContrib).toFixed(1) + 'x' : '—';
        const tr = document.createElement('tr');
        tr.innerHTML = `
          <td><span style="display: inline-block; width: 8px; height: 8px; border-radius: 50%; background: ${color}; margin-right: 8px;"></span><strong style="color: var(--text);">${escapeHtml(r.scenario.name)}</strong></td>
          <td>${fmtFull(r.scenario.monthly)}</td>
          <td>${r.scenario.rate}%</td>
          <td>${r.scenario.years}</td>
          <td>${fmtFull(r.result.totalContrib)}</td>
          <td style="color: ${color}; font-weight: 600;">${fmtFull(r.result.finalBalance)}</td>
          <td>${fmtFull(r.result.growth)}</td>
          <td>${multiple}</td>
        `;
        tbody.appendChild(tr);
      });
    }

    // Insight/punchline
    const insightEl = document.getElementById('scenario-insight');
    const insightTxt = document.getElementById('scenario-insight-text');
    if (insightEl && insightTxt && results.length >= 2) {
      insightEl.style.display = 'block';
      // Find winner (highest final balance)
      const sorted = [...results].sort((a, b) => b.result.finalBalance - a.result.finalBalance);
      const winner = sorted[0];
      const loser = sorted[sorted.length - 1];
      const diff = winner.result.finalBalance - loser.result.finalBalance;
      const contribDiff = winner.result.totalContrib - loser.result.totalContrib;

      let txt = '';
      if (contribDiff < 0 && Math.abs(contribDiff) > 1000) {
        // Winner invested LESS — best possible outcome for the story
        txt = `<em>"${escapeHtml(winner.scenario.name)}"</em> ends with <em>${fmtFull(diff)} more</em> than "${escapeHtml(loser.scenario.name)}" — while investing <em>${fmtFull(Math.abs(contribDiff))} less</em>. That's the power of better assumptions.`;
      } else if (Math.abs(contribDiff) < 1000 && diff > 5000) {
        // Same-ish contribution, different outcome — return or time drove it
        txt = `Same contribution, different outcome: <em>"${escapeHtml(winner.scenario.name)}"</em> ends with <em>${fmtFull(diff)} more</em>. Rate and time horizon did the work.`;
      } else if (diff > 0) {
        txt = `<em>"${escapeHtml(winner.scenario.name)}"</em> wins with <em>${fmtFull(winner.result.finalBalance)}</em> — that's <em>${fmtFull(diff)}</em> more than "${escapeHtml(loser.scenario.name)}", on ${fmtFull(contribDiff)} extra investment.`;
      } else {
        txt = `All scenarios end within a few thousand dollars of each other — the assumptions aren't meaningfully different. Try spreading the inputs wider.`;
      }
      insightTxt.innerHTML = txt;
    } else if (insightEl) {
      insightEl.style.display = 'none';
    }

    drawScenarioChart(results);
  }

  function drawScenarioChart(results) {
    const canvas = document.getElementById('scenario-chart');
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;
    const maxN = Math.max(...results.map(r => r.result.data.length));
    const maxV = Math.max(1, ...results.flatMap(r => r.result.data.map(d => d.balance)));
    const border = getCssVar('--border'), muted = getCssVar('--text-muted');

    // Grid
    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      ctx.textAlign = 'right'; ctx.fillText(fmt(maxV * (1 - i / 4)), pad.l - 8, y + 4);
    }
    ctx.textAlign = 'center';
    const step = maxN > 15 ? Math.ceil((maxN - 1) / 8) : 1;
    for (let i = 0; i < maxN; i += step) {
      ctx.fillText('Yr ' + i, pad.l + (cW * i / Math.max(maxN - 1, 1)), H - pad.b + 20);
    }

    const xAt = (i) => pad.l + (cW * i / Math.max(maxN - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - v / maxV);

    // Draw each scenario
    results.forEach((r, idx) => {
      const color = getCssVar(SCENARIO_COLORS[idx]);

      // Fill
      ctx.fillStyle = color + '18';
      ctx.beginPath();
      ctx.moveTo(xAt(0), yAt(0));
      r.result.data.forEach((d, i) => ctx.lineTo(xAt(i), yAt(d.balance)));
      ctx.lineTo(xAt(r.result.data.length - 1), yAt(0));
      ctx.closePath(); ctx.fill();

      // Line
      ctx.strokeStyle = color; ctx.lineWidth = 3;
      ctx.beginPath();
      r.result.data.forEach((d, i) => { const x = xAt(i), y = yAt(d.balance); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
      ctx.stroke();
    });

    // Tooltip
    attachChartTooltip('scenario-chart', {
      n: maxN, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Year ' + i,
      series: results.map((r, idx) => ({
        label: r.scenario.name,
        color: getCssVar(SCENARIO_COLORS[idx]),
        getValue: (i) => {
          const d = r.result.data[i];
          return d ? fmtFull(d.balance) : '—';
        }
      }))
    });
  }


  function getCheckpoints(years) {
    if (years <= 10) return [1, Math.round(years/4), Math.round(years/2), Math.round(3*years/4), years];
    if (years <= 20) return [5, 10, 15, 20, years];
    if (years <= 30) return [5, 10, 20, 30, years];
    return [10, 20, 30, 40, years];
  }

  // Shared tooltip handler. Series = array of { label, color, data: [{x, y, value, extra?}] }
  // data x positions are canvas-relative pixel coords, y is value (for display only)
  function attachChartTooltip(canvasId, config) {
    const canvas = document.getElementById(canvasId);
    if (!canvas) return;
    const container = canvas.parentElement;
    const tooltipId = canvasId.replace('-chart', '-tooltip');
    const crosshairId = canvasId.replace('-chart', '-crosshair');
    const tooltip = document.getElementById(tooltipId);
    const crosshair = document.getElementById(crosshairId);
    if (!tooltip || !crosshair) return;

    // Remove any previously attached listener
    if (canvas._tooltipHandler) {
      container.removeEventListener('mousemove', canvas._tooltipHandler);
      container.removeEventListener('mouseleave', canvas._tooltipLeave);
    }

    const handler = (e) => {
      const rect = canvas.getBoundingClientRect();
      const mouseX = e.clientX - rect.left;
      const mouseY = e.clientY - rect.top;

      // Ignore if outside plot area
      if (mouseX < config.padLeft || mouseX > rect.width - config.padRight ||
          mouseY < config.padTop || mouseY > rect.height - config.padBottom) {
        tooltip.classList.remove('visible');
        crosshair.classList.remove('visible');
        return;
      }

      // Find nearest data index
      const n = config.n;
      const plotW = rect.width - config.padLeft - config.padRight;
      const relX = mouseX - config.padLeft;
      const idx = Math.round((relX / plotW) * (n - 1));
      const clampedIdx = Math.max(0, Math.min(n - 1, idx));

      const snapX = config.padLeft + (plotW * clampedIdx / Math.max(n - 1, 1));

      // Position crosshair
      crosshair.style.left = snapX + 'px';
      crosshair.classList.add('visible');

      // Build tooltip content
      let html = `<div class="chart-tooltip-label">${config.xLabel(clampedIdx)}</div>`;
      config.series.forEach(s => {
        const val = s.getValue(clampedIdx);
        html += `<div class="chart-tooltip-row"><div class="chart-tooltip-swatch" style="background:${s.color};"></div>${s.label}: ${val}</div>`;
      });
      tooltip.innerHTML = html;

      // Position tooltip — keep it on screen
      tooltip.classList.add('visible');
      const tipRect = tooltip.getBoundingClientRect();
      let tipX = snapX;
      if (snapX + tipRect.width / 2 > rect.width - 10) tipX = rect.width - tipRect.width / 2 - 10;
      if (snapX - tipRect.width / 2 < 10) tipX = tipRect.width / 2 + 10;
      tooltip.style.left = tipX + 'px';
      tooltip.style.top = mouseY + 'px';
    };

    const leaveHandler = () => {
      tooltip.classList.remove('visible');
      crosshair.classList.remove('visible');
    };

    container.addEventListener('mousemove', handler);
    container.addEventListener('mouseleave', leaveHandler);
    canvas._tooltipHandler = handler;
    canvas._tooltipLeave = leaveHandler;
  }

  function drawStackedChart(id, data, pKey, tKey) {
    const canvas = document.getElementById(id);
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;
    const n = data.length;
    const maxV = Math.max(...data.map(d => d[tKey]));
    const accent = getCssVar('--accent'), subtle = getCssVar('--text-subtle'), border = getCssVar('--border'), muted = getCssVar('--text-muted');

    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      ctx.textAlign = 'right'; ctx.fillText(fmt(maxV * (1 - i / 4)), pad.l - 8, y + 4);
    }

    ctx.textAlign = 'center';
    const step = n > 15 ? Math.ceil((n - 1) / 8) : 1;
    for (let i = 0; i < n; i += step) {
      ctx.fillText('Yr ' + data[i].year, pad.l + (cW * i / Math.max(n - 1, 1)), H - pad.b + 20);
    }

    const xAt = (i) => pad.l + (cW * i / Math.max(n - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - v / maxV);

    ctx.fillStyle = subtle + '55';
    ctx.beginPath();
    ctx.moveTo(xAt(0), yAt(0));
    data.forEach((d, i) => ctx.lineTo(xAt(i), yAt(d[pKey])));
    ctx.lineTo(xAt(n - 1), yAt(0));
    ctx.closePath(); ctx.fill();

    ctx.fillStyle = accent + '66';
    ctx.beginPath();
    data.forEach((d, i) => { const x = xAt(i), y = yAt(d[tKey]); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    for (let i = n - 1; i >= 0; i--) ctx.lineTo(xAt(i), yAt(data[i][pKey]));
    ctx.closePath(); ctx.fill();

    ctx.strokeStyle = accent; ctx.lineWidth = 3;
    ctx.beginPath();
    data.forEach((d, i) => { const x = xAt(i), y = yAt(d[tKey]); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    ctx.strokeStyle = subtle; ctx.lineWidth = 1.5; ctx.setLineDash([4, 4]);
    ctx.beginPath();
    data.forEach((d, i) => { const x = xAt(i), y = yAt(d[pKey]); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke(); ctx.setLineDash([]);

    // Attach tooltip
    attachChartTooltip(id, {
      n: n, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Year ' + data[i].year,
      series: [
        { label: 'Total Value', color: accent, getValue: (i) => fmtFull(data[i][tKey]) },
        { label: (pKey === 'principal' ? 'Principal' : 'Contributions'), color: subtle, getValue: (i) => fmtFull(data[i][pKey]) },
        { label: 'Growth', color: accent, getValue: (i) => fmtFull(data[i][tKey] - data[i][pKey]) }
      ]
    });
  }

  function drawCompareChart(id, aD, bD) {
    const canvas = document.getElementById(id);
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;
    const n = Math.max(aD.length, bD.length);
    const maxV = Math.max(...aD.map(d => d.balance), ...bD.map(d => d.balance), 1);
    const accent = getCssVar('--accent'), navy = getCssVar('--navy'), border = getCssVar('--border'), muted = getCssVar('--text-muted');

    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      ctx.textAlign = 'right'; ctx.fillText(fmt(maxV * (1 - i / 4)), pad.l - 8, y + 4);
    }

    ctx.textAlign = 'center';
    const ages = aD.map(d => d.age);
    const step = ages.length > 15 ? Math.ceil((ages.length - 1) / 7) : Math.ceil((ages.length - 1) / 6);
    for (let i = 0; i < ages.length; i += step) {
      ctx.fillText('Age ' + ages[i], pad.l + (cW * i / Math.max(ages.length - 1, 1)), H - pad.b + 20);
    }

    const xAt = (i) => pad.l + (cW * i / Math.max(n - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - v / maxV);

    ctx.fillStyle = accent + '22';
    ctx.beginPath(); ctx.moveTo(xAt(0), yAt(0));
    aD.forEach((d, i) => ctx.lineTo(xAt(i), yAt(d.balance)));
    ctx.lineTo(xAt(aD.length - 1), yAt(0));
    ctx.closePath(); ctx.fill();

    ctx.strokeStyle = accent; ctx.lineWidth = 3.5;
    ctx.beginPath();
    aD.forEach((d, i) => { const x = xAt(i), y = yAt(d.balance); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    ctx.strokeStyle = navy; ctx.lineWidth = 3.5;
    ctx.beginPath();
    bD.forEach((d, i) => { const x = xAt(i), y = yAt(d.balance); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    // Attach tooltip
    attachChartTooltip(id, {
      n: n, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Age ' + (aD[i] ? aD[i].age : bD[i] ? bD[i].age : '—'),
      series: [
        { label: 'Person A', color: accent, getValue: (i) => aD[i] ? fmtFull(aD[i].balance) : '—' },
        { label: 'Person B', color: navy, getValue: (i) => bD[i] ? fmtFull(bD[i].balance) : '—' }
      ]
    });
  }

  /* ==================== RMD CALCULATOR ==================== */
  // IRS Uniform Lifetime Table (Table III) - effective 2022+
  const UNIFORM_LIFETIME = {
    73: 26.5, 74: 25.5, 75: 24.6, 76: 23.7, 77: 22.9, 78: 22.0, 79: 21.1, 80: 20.2,
    81: 19.4, 82: 18.5, 83: 17.7, 84: 16.8, 85: 16.0, 86: 15.2, 87: 14.4, 88: 13.7,
    89: 12.9, 90: 12.2, 91: 11.5, 92: 10.8, 93: 10.1, 94: 9.5, 95: 8.9, 96: 8.4,
    97: 7.8, 98: 7.3, 99: 6.8, 100: 6.4, 101: 6.0, 102: 5.6, 103: 5.2, 104: 4.9,
    105: 4.6, 106: 4.3, 107: 4.1, 108: 3.9, 109: 3.7, 110: 3.5, 111: 3.4, 112: 3.3,
    113: 3.1, 114: 3.0, 115: 2.9, 116: 2.8, 117: 2.7, 118: 2.5, 119: 2.3, 120: 2.0
  };

  // Joint Life Table simplified - only used when spouse >10 yrs younger
  // Simplified: returns factor based on ages. For production, use full IRS Table II.
  function jointLifeFactor(ownerAge, spouseAge) {
    // Approximation using Joint Life formula. Real table is 2D lookup.
    const o = Math.max(73, Math.min(ownerAge, 120));
    const s = Math.max(18, Math.min(spouseAge, 120));
    // Estimate based on combined life expectancy (simplified)
    const combined = (UNIFORM_LIFETIME[o] || 2) + (120 - s) * 0.15;
    return Math.round(combined * 10) / 10;
  }

  function getRMDAge(birthYear) {
    // SECURE 2.0: born 1951-1959 = RMD age 73; born 1960+ = RMD age 75
    if (birthYear <= 1950) return 72;
    if (birthYear >= 1960) return 75;
    return 73;
  }

  function calcRMD() {
    const birth = val('rmd-birth');
    const year = val('rmd-year');
    const balance = val('rmd-bal');
    const spouseFlag = document.getElementById('rmd-spouse').value;
    const spouseAgeInput = val('rmd-spouse-age');

    document.getElementById('v-rmd-birth').textContent = birth;
    document.getElementById('v-rmd-year').textContent = year;
    document.getElementById('v-rmd-bal').textContent = fmtFull(balance);

    // Show/hide spouse age
    const spouseAgeWrap = document.getElementById('rmd-spouse-age-wrap');
    spouseAgeWrap.style.display = spouseFlag === 'yes' ? 'block' : 'none';

    const age = year - birth;
    const rmdAge = getRMDAge(birth);

    document.getElementById('rmd-age').textContent = age;

    const verdictEl = document.getElementById('rmd-verdict');
    const verdictText = document.getElementById('rmd-verdict-text');

    if (age < rmdAge) {
      verdictEl.className = 'verdict';
      verdictText.innerHTML = `Client turns <em>${age}</em> in ${year} — RMDs begin at age <em>${rmdAge}</em>. First RMD year: <em>${birth + rmdAge}</em>.`;
      document.getElementById('rmd-hero').textContent = '$0';
      document.getElementById('rmd-divisor').textContent = '—';
      document.getElementById('rmd-pct').textContent = '—';
      document.getElementById('rmd-calc-bal').textContent = fmtFull(balance);
      document.getElementById('rmd-calc-age').textContent = age;
      document.getElementById('rmd-calc-divisor').textContent = '—';
      document.getElementById('rmd-calc-table').textContent = 'N/A — not yet required';
      document.getElementById('rmd-calc-result').textContent = '$0';
      document.getElementById('rmd-forecast').innerHTML = '';
      return;
    }

    let factor, tableName;
    if (spouseFlag === 'yes') {
      const ageDiff = age - spouseAgeInput;
      if (ageDiff > 10) {
        factor = jointLifeFactor(age, spouseAgeInput);
        tableName = 'Joint Life Expectancy (Table II)';
      } else {
        factor = UNIFORM_LIFETIME[Math.min(age, 120)] || UNIFORM_LIFETIME[120];
        tableName = 'Uniform Lifetime (Table III) — spouse not >10 yrs younger';
      }
    } else {
      factor = UNIFORM_LIFETIME[Math.min(age, 120)] || UNIFORM_LIFETIME[120];
      tableName = 'Uniform Lifetime (Table III)';
    }

    const rmd = balance / factor;
    const pctOfBalance = (rmd / balance) * 100;

    verdictEl.className = 'verdict good';
    verdictText.innerHTML = `Client must take <em>${fmtFull(rmd)}</em> by December 31, ${year}. That's <em>${pctOfBalance.toFixed(2)}%</em> of the prior year-end balance.`;

    document.getElementById('rmd-hero').textContent = fmtFull(rmd);
    document.getElementById('rmd-divisor').textContent = factor.toFixed(1);
    document.getElementById('rmd-pct').textContent = pctOfBalance.toFixed(2) + '%';

    document.getElementById('rmd-calc-bal').textContent = fmtFull(balance);
    document.getElementById('rmd-calc-age').textContent = age;
    document.getElementById('rmd-calc-divisor').textContent = factor.toFixed(1);
    document.getElementById('rmd-calc-table').textContent = tableName;
    document.getElementById('rmd-calc-result').textContent = fmtFull(rmd);

    // 10-year forecast
    const forecast = document.getElementById('rmd-forecast');
    forecast.innerHTML = '';
    let projBalance = balance;
    for (let yr = 0; yr < 10; yr++) {
      const fYear = year + yr;
      const fAge = age + yr;
      if (fAge > 120) break;
      const fFactor = UNIFORM_LIFETIME[Math.min(fAge, 120)] || UNIFORM_LIFETIME[120];
      const fRMD = projBalance / fFactor;
      const tr = document.createElement('tr');
      tr.innerHTML = `<td>${fYear}</td><td>${fAge}</td><td>${fmt(projBalance)}</td><td>${fFactor.toFixed(1)}</td><td class="val-accent">${fmt(fRMD)}</td>`;
      forecast.appendChild(tr);
      // Grow remaining balance at 5%, subtract the RMD
      projBalance = (projBalance - fRMD) * 1.05;
    }
  }

  /* ==================== TAX-EQUIVALENT YIELD ==================== */
  function setFed(r) {
    document.getElementById('tey-fed').value = r;
    document.querySelectorAll('#view-tey .quick-rate').forEach(el => el.classList.remove('active'));
    event.target.classList.add('active');
    calcTEY();
  }

  function calcTEY() {
    const yield_ = val('tey-yield');
    const type = document.getElementById('tey-type').value;
    const fed = val('tey-fed');
    const state = val('tey-state');
    const alt = val('tey-alt');

    document.getElementById('v-tey-yield').textContent = yield_.toFixed(2) + '%';
    document.getElementById('v-tey-fed').textContent = fed + '%';
    document.getElementById('v-tey-state').textContent = state.toFixed(2) + '%';
    document.getElementById('v-tey-alt').textContent = alt.toFixed(2) + '%';
    document.getElementById('tey-state-wrap').style.display = type === 'state' ? 'block' : 'none';

    const effectiveTaxRate = type === 'state' ? fed + state : fed;
    const tey = effectiveTaxRate >= 100 ? Infinity : yield_ / (1 - effectiveTaxRate / 100);

    document.getElementById('tey-hero').textContent = fmtPct(tey);
    document.getElementById('tey-tax-free').textContent = fmtPct(yield_);
    document.getElementById('tey-effective').textContent = effectiveTaxRate.toFixed(1) + '%';
    document.getElementById('tey-diff').textContent = (tey - alt >= 0 ? '+' : '') + (tey - alt).toFixed(2) + '%';

    // $100K breakdown
    const taxFreeIncome = 100000 * yield_ / 100;
    const taxableGross = 100000 * alt / 100;
    const taxableNet = taxableGross * (1 - effectiveTaxRate / 100);
    const diff = taxFreeIncome - taxableNet;

    document.getElementById('tey-100k-free').textContent = fmtFull(taxFreeIncome);
    document.getElementById('tey-100k-tax').textContent = fmtFull(taxableNet);
    document.getElementById('tey-100k-diff').textContent = (diff >= 0 ? '+' : '') + fmtFull(diff);
    document.getElementById('tey-breakeven').textContent = fmtPct(tey);

    // Verdict
    const v = document.getElementById('tey-verdict');
    const t = document.getElementById('tey-verdict-text');
    if (diff > 0) {
      v.className = 'verdict good';
      t.innerHTML = `The tax-free bond wins. Client keeps <em>${fmtFull(diff)} more per $100K</em> annually. The muni's ${fmtPct(yield_)} equals a taxable ${fmtPct(tey)} at this tax rate.`;
    } else if (diff < 0) {
      v.className = 'verdict bad';
      t.innerHTML = `The taxable alternative wins. Client would earn <em>${fmtFull(Math.abs(diff))} more per $100K</em> in the taxable bond — after tax. Muni only makes sense if tax-free yield rises above ${fmtPct(alt * (1 - effectiveTaxRate / 100) / (1 - effectiveTaxRate / 100))}.`;
    } else {
      v.className = 'verdict';
      t.innerHTML = `Essentially a tie. At this tax rate, both produce the same after-tax income.`;
    }

    // Bracket table
    const brackets = [10, 12, 22, 24, 32, 35, 37];
    const tbl = document.getElementById('tey-bracket-table');
    tbl.innerHTML = '';
    brackets.forEach(b => {
      const effective = type === 'state' ? b + state : b;
      const brTey = yield_ / (1 - effective / 100);
      const adv = brTey - alt;
      const cls = adv > 0 ? 'val-good' : adv < 0 ? 'val-bad' : '';
      const advText = adv > 0 ? `Muni wins by ${Math.abs(adv).toFixed(2)}%` : adv < 0 ? `Taxable wins by ${Math.abs(adv).toFixed(2)}%` : 'Tie';
      tbl.innerHTML += `<tr><td>${b}%</td><td>${fmtPct(brTey)}</td><td class="${cls}">${advText}</td></tr>`;
    });
  }

  /* ==================== SAFE WITHDRAWAL RATE ==================== */
  function setWDRate(r) {
    const bal = val('swr-bal');
    document.getElementById('swr-wd').value = Math.round(bal * r / 100);
    document.querySelectorAll('#view-swr .quick-rate').forEach(el => el.classList.remove('active'));
    event.target.classList.add('active');
    calcSWR();
  }

  function calcSWR() {
    const bal = val('swr-bal');
    const ret = val('swr-ret');
    const inf = val('swr-inf');
    const wd = val('swr-wd');
    const yrs = val('swr-yrs');

    document.getElementById('v-swr-bal').textContent = fmtFull(bal);
    document.getElementById('v-swr-ret').textContent = ret + '%';
    document.getElementById('v-swr-inf').textContent = inf + '%';
    document.getElementById('v-swr-wd').textContent = fmtFull(wd);
    document.getElementById('v-swr-yrs').textContent = yrs + ' yr';
    document.getElementById('v-swr-wdpct').textContent = ((wd / bal) * 100).toFixed(2) + '%';
    document.getElementById('swr-yrs-label').textContent = yrs;

    // Simulate
    function simulate(startBal, annualReturn, inflation, firstWithdrawal, numYears) {
      let balance = startBal;
      let withdrawal = firstWithdrawal;
      const data = [{ year: 0, balance, withdrawal: 0 }];
      let yearsLasted = numYears;
      for (let y = 1; y <= numYears; y++) {
        balance -= withdrawal;
        if (balance <= 0) {
          balance = 0;
          yearsLasted = y - 1;
          data.push({ year: y, balance: 0, withdrawal });
          // pad remaining
          for (let p = y + 1; p <= numYears; p++) data.push({ year: p, balance: 0, withdrawal: 0 });
          return { data, endingBalance: 0, yearsLasted };
        }
        balance *= (1 + annualReturn / 100);
        data.push({ year: y, balance, withdrawal });
        withdrawal *= (1 + inflation / 100);
      }
      return { data, endingBalance: balance, yearsLasted };
    }

    const result = simulate(bal, ret, inf, wd, yrs);
    const rate = (wd / bal) * 100;
    const realReturn = ret - inf;

    document.getElementById('swr-kpi-rate').textContent = rate.toFixed(2) + '%';
    document.getElementById('swr-kpi-lasts').textContent = result.yearsLasted >= yrs ? `${yrs}+ yr` : `${result.yearsLasted} yr`;
    document.getElementById('swr-kpi-end').textContent = fmtFull(result.endingBalance);
    document.getElementById('swr-kpi-real').textContent = realReturn.toFixed(2) + '%';

    const endKpi = document.getElementById('swr-kpi-end');
    endKpi.classList.remove('good', 'bad', 'accent');
    if (result.endingBalance > bal) endKpi.classList.add('good');
    else if (result.endingBalance === 0) endKpi.classList.add('bad');
    else endKpi.classList.add('accent');

    // Verdict
    const v = document.getElementById('swr-verdict');
    const t = document.getElementById('swr-verdict-text');
    if (result.yearsLasted >= yrs && result.endingBalance >= bal) {
      v.className = 'verdict good';
      t.innerHTML = `Portfolio <em>likely grows</em> despite withdrawals. Ending balance of ${fmtFull(result.endingBalance)} is <em>${((result.endingBalance / bal - 1) * 100).toFixed(0)}% above</em> starting. Room to increase spending or be more aggressive with gifts/giving.`;
    } else if (result.yearsLasted >= yrs) {
      v.className = 'verdict';
      t.innerHTML = `Money <em>likely lasts</em> the full <em>${yrs} years</em>, ending at ${fmtFull(result.endingBalance)}. Plan holds — but limited margin for bad markets or higher spending.`;
    } else {
      v.className = 'verdict bad';
      t.innerHTML = `Portfolio <em>likely runs out in year ${result.yearsLasted}</em> — <em>${yrs - result.yearsLasted} years short</em> of the target. Reduce spending, increase return, or retire later.`;
    }

    drawSWRChart(result.data);

    // Stress scenarios
    const scenarios = [
      { label: 'Base', ret: ret, inf: inf, wd: wd },
      { label: '-2% Return', ret: ret - 2, inf: inf, wd: wd },
      { label: '+2% Inflation', ret: ret, inf: inf + 2, wd: wd },
      { label: 'Both Hit', ret: ret - 2, inf: inf + 2, wd: wd },
      { label: '+20% Spending', ret: ret, inf: inf, wd: wd * 1.2 }
    ];
    const tbl = document.getElementById('swr-scenarios');
    tbl.innerHTML = '';
    scenarios.forEach(s => {
      const r = simulate(bal, s.ret, s.inf, s.wd, yrs);
      const cls = r.endingBalance > bal ? 'val-good' : r.endingBalance === 0 ? 'val-bad' : '';
      const lastText = r.yearsLasted >= yrs ? `${yrs}+` : `${r.yearsLasted}`;
      let verdict = r.endingBalance > bal ? 'Thriving' : r.yearsLasted >= yrs ? 'Survives' : 'Runs out';
      const vCls = r.endingBalance > bal ? 'val-good' : r.yearsLasted >= yrs ? '' : 'val-bad';
      tbl.innerHTML += `<tr><td>${s.label}</td><td class="${cls}">${fmt(r.endingBalance)}</td><td>${lastText} yr</td><td class="${vCls}">${verdict}</td></tr>`;
    });
  }

  function drawSWRChart(data) {
    const canvas = document.getElementById('swr-chart');
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;
    const n = data.length;
    const maxV = Math.max(...data.map(d => d.balance), 1);
    const accent = getCssVar('--accent'), border = getCssVar('--border'), muted = getCssVar('--text-muted');

    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      ctx.textAlign = 'right'; ctx.fillText(fmt(maxV * (1 - i / 4)), pad.l - 8, y + 4);
    }
    ctx.textAlign = 'center';
    const step = n > 15 ? Math.ceil((n - 1) / 8) : 1;
    for (let i = 0; i < n; i += step) {
      ctx.fillText('Yr ' + data[i].year, pad.l + (cW * i / Math.max(n - 1, 1)), H - pad.b + 20);
    }
    const xAt = (i) => pad.l + (cW * i / Math.max(n - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - v / maxV);

    ctx.fillStyle = accent + '33';
    ctx.beginPath();
    ctx.moveTo(xAt(0), yAt(0));
    data.forEach((d, i) => ctx.lineTo(xAt(i), yAt(d.balance)));
    ctx.lineTo(xAt(n - 1), yAt(0));
    ctx.closePath(); ctx.fill();

    ctx.strokeStyle = accent; ctx.lineWidth = 3;
    ctx.beginPath();
    data.forEach((d, i) => { const x = xAt(i), y = yAt(d.balance); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    // Attach tooltip
    attachChartTooltip('swr-chart', {
      n: n, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Year ' + data[i].year,
      series: [
        { label: 'Balance', color: accent, getValue: (i) => fmtFull(data[i].balance) },
        { label: 'Withdrawal', color: getCssVar('--text-muted'), getValue: (i) => fmtFull(data[i].withdrawal) }
      ]
    });
  }

  /* ==================== SOCIAL SECURITY BREAKEVEN ==================== */
  // FRA lookup by birth year — from SSA Publication 05-10035
  function getFRA(birthYear) {
    if (birthYear <= 1954) return { years: 66, months: 0 };
    if (birthYear === 1955) return { years: 66, months: 2 };
    if (birthYear === 1956) return { years: 66, months: 4 };
    if (birthYear === 1957) return { years: 66, months: 6 };
    if (birthYear === 1958) return { years: 66, months: 8 };
    if (birthYear === 1959) return { years: 66, months: 10 };
    return { years: 67, months: 0 }; // 1960 and later
  }

  function fraAsDecimal(fra) {
    return fra.years + fra.months / 12;
  }

  // Calculate benefit multiplier for a given claiming age relative to FRA
  // Returns a decimal (e.g., 0.70 for 30% reduction, 1.24 for 24% increase)
  // Formulas from CFR §404.410 and SSA Handbook §724
  function benefitFactor(claimAgeDecimal, fraDecimal) {
    const monthsFromFRA = Math.round((claimAgeDecimal - fraDecimal) * 12);

    if (monthsFromFRA < 0) {
      // Early claiming: reduction
      const monthsEarly = -monthsFromFRA;
      let reduction;
      if (monthsEarly <= 36) {
        // 5/9 of 1% per month
        reduction = monthsEarly * (5/9) / 100;
      } else {
        // First 36 months at 5/9 of 1%, remainder at 5/12 of 1%
        const firstTier = 36 * (5/9) / 100;
        const secondTier = (monthsEarly - 36) * (5/12) / 100;
        reduction = firstTier + secondTier;
      }
      return 1 - reduction;
    } else if (monthsFromFRA > 0) {
      // Delayed retirement credits: 8%/year = 2/3 of 1% per month
      // Cap at age 70 (no credits beyond)
      const cappedMonths = Math.min(monthsFromFRA, (70 - fraDecimal) * 12);
      const increase = cappedMonths * (2/3) / 100;
      return 1 + increase;
    }
    return 1.0; // exactly at FRA
  }

  // Simulate cumulative benefits over time from claim age to death age
  // Returns an array of {age, annual, cumulative} starting at claimAge
  function simulateSS(pia, claimAge, fraDecimal, colaPct, deathAge) {
    const factor = benefitFactor(claimAge, fraDecimal);
    const monthlyAtClaim = pia * factor;
    let annualBenefit = monthlyAtClaim * 12;
    let cumulative = 0;
    const data = [];

    // At claimAge, no benefits yet received
    data.push({ age: claimAge, annual: 0, cumulative: 0 });

    for (let age = claimAge + 1; age <= deathAge; age++) {
      cumulative += annualBenefit;
      data.push({ age, annual: annualBenefit, cumulative });
      annualBenefit *= (1 + colaPct / 100);
    }
    return { monthlyAtClaim, data };
  }

  // Find breakeven age (when cumulative B catches up to cumulative A)
  // Returns age (integer) or null if no crossover in range
  function findBreakeven(seriesA, seriesB, startAge, endAge) {
    // seriesA/seriesB are from simulateSS — each starts at their respective claimAge
    // We need to align by age and find where B.cumulative >= A.cumulative
    const mapA = new Map(seriesA.data.map(d => [d.age, d.cumulative]));
    const mapB = new Map(seriesB.data.map(d => [d.age, d.cumulative]));

    let prev = null;
    for (let age = startAge; age <= endAge; age++) {
      const a = mapA.get(age) || 0;
      const b = mapB.get(age) || 0;
      const diff = b - a;
      if (prev !== null && prev < 0 && diff >= 0) {
        return age;
      }
      prev = diff;
    }
    return null;
  }

  // ==================== SS SCENARIOS: Dynamic Add/Remove ====================
  // SSScenarios holds an ordered list of claiming age scenarios.
  // Each entry: { id: string, age: number }
  // Colors are assigned by index from SS_COLORS.
  const SS_COLORS = ['--green', '--accent', '--navy', '--gold', '--red', '--text'];
  const SS_MIN_SCENARIOS = 2;
  const SS_MAX_SCENARIOS = 6;
  let ssScenarioCounter = 0;
  let ssScenarios = [
    { id: 'ss-s-' + (++ssScenarioCounter), age: 62 },
    { id: 'ss-s-' + (++ssScenarioCounter), age: null },  // null = FRA (auto-computed)
    { id: 'ss-s-' + (++ssScenarioCounter), age: 70 }
  ];

  function addSSScenario() {
    if (ssScenarios.length >= SS_MAX_SCENARIOS) return;
    // Pick an age that isn't already used; default to a midpoint
    const usedAges = ssScenarios.map(s => s.age).filter(a => a !== null);
    let newAge = 65;
    for (let candidate = 62; candidate <= 70; candidate++) {
      if (!usedAges.includes(candidate)) { newAge = candidate; break; }
    }
    ssScenarios.push({ id: 'ss-s-' + (++ssScenarioCounter), age: newAge });
    renderSSScenarios();
    calcSS();
  }

  function removeSSScenario(id) {
    if (ssScenarios.length <= SS_MIN_SCENARIOS) return;
    ssScenarios = ssScenarios.filter(s => s.id !== id);
    renderSSScenarios();
    calcSS();
  }

  function updateSSScenarioAge(id, newAge) {
    const s = ssScenarios.find(x => x.id === id);
    if (!s) return;
    s.age = parseInt(newAge, 10);
    // Update just the label without full re-render (preserves focus on slider)
    const labelEl = document.getElementById('v-' + id);
    if (labelEl) labelEl.textContent = s.age;
    calcSS();
  }

  function renderSSScenarios() {
    const container = document.getElementById('ss-scenarios-list');
    if (!container) return;
    // Compute FRA for display of null-age scenarios (the auto FRA entry)
    const birth = val('ss-birth') || 1962;
    const fra = getFRA(birth);
    const fraDecimal = fraAsDecimal(fra);
    const fraLabel = fra.months > 0 ? `${fra.years}y ${fra.months}mo` : `${fra.years} yr`;

    container.innerHTML = '';
    ssScenarios.forEach((s, idx) => {
      const color = SS_COLORS[idx % SS_COLORS.length];
      const isFRA = s.age === null;
      const displayAge = isFRA ? fraLabel : s.age;
      const canRemove = ssScenarios.length > SS_MIN_SCENARIOS;

      const wrap = document.createElement('div');
      wrap.className = 'field';
      wrap.style.marginBottom = '10px';

      if (isFRA) {
        // FRA scenario is fixed (auto-computed), no slider, just a pill
        wrap.innerHTML = `
          <div class="field-row">
            <span class="label" style="display: inline-flex; align-items: center; gap: 6px;">
              <span style="width: 10px; height: 10px; border-radius: 50%; background: var(${color}); display: inline-block;"></span>
              Claim at FRA
            </span>
            <span class="label-value" id="v-${s.id}">${displayAge}</span>
          </div>
          <div style="font-family: 'Lora', serif; font-style: italic; font-size: 11px; color: var(--text-muted); margin-top: 4px;">Auto-calculated from year of birth.</div>
        `;
      } else {
        wrap.innerHTML = `
          <div class="field-row">
            <span class="label" style="display: inline-flex; align-items: center; gap: 6px;">
              <span style="width: 10px; height: 10px; border-radius: 50%; background: var(${color}); display: inline-block;"></span>
              Claim at Age
            </span>
            <span style="display: inline-flex; align-items: center; gap: 8px;">
              <span class="label-value" id="v-${s.id}">${displayAge}</span>
              ${canRemove ? `<button onclick="removeSSScenario('${s.id}')" title="Remove scenario" style="background: transparent; color: var(--text-muted); border: 1px solid var(--border); border-radius: 4px; width: 20px; height: 20px; font-size: 12px; line-height: 1; cursor: pointer; padding: 0;">×</button>` : ''}
            </span>
          </div>
          <input type="range" class="slider" id="${s.id}" min="62" max="70" value="${s.age}" step="1" oninput="updateSSScenarioAge('${s.id}', this.value)">
        `;
      }
      container.appendChild(wrap);
    });

    // Update the add button state
    const addBtn = document.getElementById('ss-add-scenario');
    if (addBtn) {
      if (ssScenarios.length >= SS_MAX_SCENARIOS) {
        addBtn.disabled = true;
        addBtn.style.opacity = '0.4';
        addBtn.style.cursor = 'not-allowed';
      } else {
        addBtn.disabled = false;
        addBtn.style.opacity = '1';
        addBtn.style.cursor = 'pointer';
      }
    }
  }

  function calcSS() {
    const birth = val('ss-birth');
    const pia = val('ss-pia');
    const cola = val('ss-cola');
    const life = val('ss-life');

    document.getElementById('v-ss-birth').textContent = birth;
    document.getElementById('v-ss-pia').textContent = fmtFull(pia);
    document.getElementById('v-ss-cola').textContent = cola + '%';
    document.getElementById('v-ss-life').textContent = life;

    const fra = getFRA(birth);
    const fraDecimal = fraAsDecimal(fra);
    const fraLabel = fra.months > 0 ? `${fra.years}y ${fra.months}mo` : `${fra.years} yr`;

    // Build resolved scenarios: each gets a numeric claim age and derived values
    const resolved = ssScenarios.map((s, idx) => {
      const claimAge = s.age === null ? fraDecimal : s.age;
      const factor = benefitFactor(claimAge, fraDecimal);
      const monthly = pia * factor;
      const sim = simulateSS(pia, claimAge, fraDecimal, cola, life);
      const label = s.age === null ? 'Claim at FRA' : 'Claim at ' + s.age;
      const shortLabel = s.age === null ? 'FRA (' + fraLabel + ')' : 'Age ' + s.age;
      return {
        id: s.id,
        idx,
        age: s.age,
        claimAge,
        factor,
        monthly,
        sim,
        label,
        shortLabel,
        colorVar: SS_COLORS[idx % SS_COLORS.length]
      };
    });

    // If FRA scenario label in scenarios list needs refresh (when birth year changes)
    const fraRow = ssScenarios.find(s => s.age === null);
    if (fraRow) {
      const el = document.getElementById('v-' + fraRow.id);
      if (el) el.textContent = fraLabel;
    }

    // KPI grid: FRA card + one card per scenario
    const kpiGrid = document.getElementById('ss-kpi-grid');
    const cols = Math.min(resolved.length + 1, 4);
    kpiGrid.style.gridTemplateColumns = `repeat(${cols}, 1fr)`;
    let kpiHtml = `
      <div class="kpi">
        <div class="kpi-label">Client's FRA</div>
        <div class="kpi-value accent">${fraLabel}</div>
        <div class="kpi-sub">Born ${birth}</div>
      </div>
    `;
    resolved.forEach(r => {
      const pctOfPIA = r.factor;
      let sub;
      if (r.age === null) {
        sub = '100% of PIA';
      } else if (r.factor < 1) {
        sub = `${((r.factor - 1) * 100).toFixed(1)}%`;
      } else if (r.factor > 1) {
        sub = `+${((r.factor - 1) * 100).toFixed(1)}%`;
      } else {
        sub = '100% of PIA';
      }
      kpiHtml += `
        <div class="kpi">
          <div class="kpi-label" style="display: inline-flex; align-items: center; gap: 6px;">
            <span style="width: 8px; height: 8px; border-radius: 50%; background: var(${r.colorVar}); display: inline-block;"></span>
            ${r.label}
          </div>
          <div class="kpi-value">${fmtFull(r.monthly)}</div>
          <div class="kpi-sub">${sub}</div>
        </div>
      `;
    });
    kpiGrid.innerHTML = kpiHtml;

    // Chart legend
    const legend = document.getElementById('ss-chart-legend');
    legend.innerHTML = resolved.map(r =>
      `<div class="legend-item"><div class="legend-swatch" style="background: var(${r.colorVar});"></div>${r.label}</div>`
    ).join('');

    // Breakeven table: compute pairs in scenario order, but only display meaningful pairs
    // (where one scenario claims EARLIER and the other claims LATER — otherwise breakeven is trivially "never")
    // Order resolved by claim age ascending for clean pair logic
    const sortedForPairs = [...resolved].sort((a, b) => a.claimAge - b.claimAge);
    const pairs = [];
    for (let i = 0; i < sortedForPairs.length; i++) {
      for (let j = i + 1; j < sortedForPairs.length; j++) {
        const earlier = sortedForPairs[i];
        const later = sortedForPairs[j];
        if (Math.abs(earlier.claimAge - later.claimAge) < 0.01) continue; // same age, skip
        const startAge = Math.ceil(later.claimAge);
        const breakeven = findBreakeven(earlier.sim, later.sim, startAge, life);
        pairs.push({ earlier, later, breakeven });
      }
    }
    const betbl = document.getElementById('ss-breakeven-table');
    if (pairs.length === 0) {
      betbl.innerHTML = `<tr><td colspan="4" style="text-align: center; color: var(--text-muted); font-style: italic; font-family: 'Lora', serif;">Add a second scenario to see breakeven comparisons.</td></tr>`;
    } else {
      betbl.innerHTML = pairs.map(p => `
        <tr>
          <td>${p.earlier.shortLabel} vs ${p.later.shortLabel}</td>
          <td class="val-accent">${p.breakeven ? 'Age ' + p.breakeven : 'No crossover'}</td>
          <td>${p.earlier.label}</td>
          <td>${p.breakeven ? p.later.label : '—'}</td>
        </tr>
      `).join('');
    }

    // Lifetime benefits table — dynamic columns by scenario
    function cumulativeAtAge(sim, targetAge) {
      const entry = sim.data.find(d => d.age === targetAge);
      return entry ? entry.cumulative : (sim.data[sim.data.length - 1] ? sim.data[sim.data.length - 1].cumulative : 0);
    }

    const lifetimeHead = document.getElementById('ss-lifetime-head');
    lifetimeHead.innerHTML = `<tr>
      <th>If Die At</th>
      ${resolved.map(r => `<th style="color: var(${r.colorVar});">${r.label}</th>`).join('')}
      <th>Best Strategy</th>
    </tr>`;

    const deathAges = [75, 80, 85, 90, 95];
    const lifetimeTbl = document.getElementById('ss-lifetime-table');
    lifetimeTbl.innerHTML = '';
    deathAges.forEach(deathAge => {
      if (deathAge > life) return;
      const cums = resolved.map(r => {
        const sim = simulateSS(pia, r.claimAge, fraDecimal, cola, deathAge);
        return cumulativeAtAge(sim, deathAge);
      });
      const maxC = Math.max(...cums);
      const winnerIdx = cums.indexOf(maxC);
      const winner = resolved[winnerIdx].label;

      const cells = resolved.map((r, i) => {
        const isWinner = cums[i] === maxC;
        return `<td style="color: ${isWinner ? `var(${r.colorVar})` : 'inherit'}; font-weight: ${isWinner ? '600' : '400'};">${fmtFull(cums[i])}</td>`;
      }).join('');

      lifetimeTbl.innerHTML += `<tr>
        <td>${deathAge}</td>
        ${cells}
        <td style="font-weight: 600;">${winner}</td>
      </tr>`;
    });

    // Verdict: winner at life expectancy
    const finalCums = resolved.map(r => cumulativeAtAge(r.sim, life));
    const finalMax = Math.max(...finalCums);
    const finalWinnerIdx = finalCums.indexOf(finalMax);
    const finalWinner = resolved[finalWinnerIdx];
    const finalMin = Math.min(...finalCums);
    const finalLoserIdx = finalCums.indexOf(finalMin);
    const finalLoser = resolved[finalLoserIdx];
    const diff = finalMax - finalMin;

    const v = document.getElementById('ss-verdict');
    const t = document.getElementById('ss-verdict-text');
    if (resolved.length < 2 || diff < 1) {
      v.className = 'verdict';
      t.innerHTML = `Add another scenario to compare claiming strategies.`;
    } else if (finalWinner.claimAge > finalLoser.claimAge) {
      v.className = 'verdict good';
      t.innerHTML = `If client lives to <em>${life}</em>, <em>${finalWinner.label}</em> likely pays <em>${fmtFull(diff)} more</em> in lifetime benefits than <em>${finalLoser.label}</em>.`;
    } else {
      v.className = 'verdict';
      t.innerHTML = `If client lives to <em>${life}</em>, <em>${finalWinner.label}</em> likely wins on lifetime benefits. The more relevant question: can they afford to wait?`;
    }

    // Draw chart
    drawSSChart(resolved, life);
  }

  function drawSSChart(resolved, life) {
    const canvas = document.getElementById('ss-chart');
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;

    const minAge = 62;
    const maxAge = Math.max(life, ...resolved.map(r => r.sim.data[r.sim.data.length - 1].age));
    const n = maxAge - minAge + 1;

    const maxV = Math.max(1, ...resolved.map(r => r.sim.data[r.sim.data.length - 1].cumulative));

    const border = getCssVar('--border'), muted = getCssVar('--text-muted');

    // Grid
    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      ctx.textAlign = 'right'; ctx.fillText(fmt(maxV * (1 - i / 4)), pad.l - 8, y + 4);
    }

    ctx.textAlign = 'center';
    const step = Math.max(1, Math.ceil(n / 8));
    for (let i = 0; i < n; i += step) {
      const age = minAge + i;
      ctx.fillText(age, pad.l + (cW * i / Math.max(n - 1, 1)), H - pad.b + 20);
    }

    const xAt = (age) => pad.l + (cW * (age - minAge) / Math.max(n - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - v / maxV);

    function drawLine(data, color, lineWidth) {
      ctx.strokeStyle = color; ctx.lineWidth = lineWidth;
      ctx.beginPath();
      let first = true;
      for (let age = minAge; age <= maxAge; age++) {
        const entry = data.find(d => d.age === age);
        const v = entry ? entry.cumulative : 0;
        const x = xAt(age), y = yAt(v);
        if (first) { ctx.moveTo(x, y); first = false; }
        else ctx.lineTo(x, y);
      }
      ctx.stroke();
    }

    resolved.forEach(r => {
      drawLine(r.sim.data, getCssVar(r.colorVar), 3);
    });

    // Tooltip — one series per scenario
    attachChartTooltip('ss-chart', {
      n: n, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Age ' + (minAge + i),
      series: resolved.map(r => ({
        label: r.label,
        color: getCssVar(r.colorVar),
        getValue: (i) => {
          const age = minAge + i;
          const entry = r.sim.data.find(d => d.age === age);
          return entry ? fmtFull(entry.cumulative) : '$0';
        }
      }))
    });
  }


  /* ==================== PAY DOWN VS. INVEST ==================== */
  function mortgagePayment(balance, annualRate, years) {
    const r = annualRate / 100 / 12;
    const n = years * 12;
    if (r === 0) return balance / n;
    return balance * (r * Math.pow(1 + r, n)) / (Math.pow(1 + r, n) - 1);
  }

  // Simulate both strategies over the original payoff term.
  // Returns balance series for charting + final values + interest-paid totals.
  function simulatePayDownVsInvest(opts) {
    const { balance, monthlyRate, monthsTotal, basePayment, extra, monthlyInvestRate } = opts;

    // Strategy A: extra principal until payoff, then invest full freed-up payment
    let balA = balance;
    let invA = 0;
    let payoffMonthA = null;
    let interestPaidA = 0;
    const seriesA = [{ month: 0, balance: balance, investment: 0, net: -balance }];

    for (let m = 1; m <= monthsTotal; m++) {
      if (balA > 0.01) {
        const interest = balA * monthlyRate;
        interestPaidA += interest;
        const principalPmt = Math.min(basePayment - interest + extra, balA);
        balA = Math.max(0, balA - principalPmt);
        if (balA <= 0.01 && payoffMonthA === null) payoffMonthA = m;
        invA = invA * (1 + monthlyInvestRate);
      } else {
        invA = invA * (1 + monthlyInvestRate) + (basePayment + extra);
      }
      if (m % 12 === 0 || m === monthsTotal) {
        seriesA.push({ month: m, balance: balA, investment: invA, net: invA - balA });
      }
    }

    // Strategy B: minimum payment, invest extra throughout
    let balB = balance;
    let invB = 0;
    let interestPaidB = 0;
    const seriesB = [{ month: 0, balance: balance, investment: 0, net: -balance }];

    for (let m = 1; m <= monthsTotal; m++) {
      if (balB > 0.01) {
        const interest = balB * monthlyRate;
        interestPaidB += interest;
        const principalPmt = Math.min(basePayment - interest, balB);
        balB = Math.max(0, balB - principalPmt);
      }
      invB = invB * (1 + monthlyInvestRate) + extra;
      if (m % 12 === 0 || m === monthsTotal) {
        seriesB.push({ month: m, balance: balB, investment: invB, net: invB - balB });
      }
    }

    return {
      payoffMonthA,
      interestPaidA, interestPaidB,
      finalA: { balance: balA, investment: invA, net: invA - balA },
      finalB: { balance: balB, investment: invB, net: invB - balB },
      seriesA, seriesB
    };
  }

  function calcMortgage() {
    const balance = +document.getElementById('mtg-bal').value || 0;
    const rate = +document.getElementById('mtg-rate').value;
    const years = +document.getElementById('mtg-yrs').value;
    const extra = Math.max(0, +document.getElementById('mtg-extra').value || 0);
    const expectedReturn = +document.getElementById('mtg-ret').value;
    const stressReturn = +document.getElementById('mtg-stress').value;

    document.getElementById('v-mtg-bal').textContent = '$' + balance.toLocaleString();
    document.getElementById('v-mtg-rate').textContent = rate.toFixed(2) + '%';
    document.getElementById('v-mtg-yrs').textContent = years + ' yr';
    document.getElementById('v-mtg-extra').textContent = '$' + extra.toLocaleString();
    document.getElementById('v-mtg-ret').textContent = expectedReturn.toFixed(2) + '%';
    document.getElementById('v-mtg-stress').textContent = stressReturn.toFixed(2) + '%';

    const basePayment = mortgagePayment(balance, rate, years);
    document.getElementById('v-mtg-pi').textContent = '$' + Math.round(basePayment).toLocaleString();

    const spread = expectedReturn - rate;
    const spreadEl = document.getElementById('mtg-kpi-spread');
    spreadEl.textContent = (spread >= 0 ? '+' : '') + spread.toFixed(2) + '%';
    spreadEl.classList.toggle('accent', spread >= 0);

    const monthsTotal = years * 12;
    const monthlyRate = rate / 100 / 12;
    const monthlyInvestRate = expectedReturn / 100 / 12;
    const sim = simulatePayDownVsInvest({
      balance, monthlyRate, monthsTotal, basePayment, extra, monthlyInvestRate
    });

    // Years to payoff KPI
    const payoffYrs = sim.payoffMonthA ? sim.payoffMonthA / 12 : years;
    document.getElementById('mtg-kpi-payoff').textContent = payoffYrs.toFixed(1) + ' yr';

    // Interest saved KPI
    const interestSaved = sim.interestPaidB - sim.interestPaidA;
    document.getElementById('mtg-kpi-intsaved').textContent = '$' + Math.round(interestSaved).toLocaleString();

    // Net wealth difference KPI
    const diff = sim.finalB.net - sim.finalA.net;
    const diffEl = document.getElementById('mtg-kpi-diff');
    diffEl.textContent = (diff >= 0 ? '+' : '−') + '$' + Math.abs(Math.round(diff)).toLocaleString();
    document.getElementById('mtg-kpi-diff-sub').textContent = diff >= 0
      ? 'Investing wins at year ' + years
      : 'Pay-down wins at year ' + years;

    // Side-by-side table
    const payoffYrA = sim.payoffMonthA ? (sim.payoffMonthA / 12).toFixed(1) + ' yr' : 'Not paid off';
    document.getElementById('mtg-side-by-side').innerHTML = `
      <tr>
        <td><strong>Pay Down Mortgage</strong><div style="color:var(--text-muted);font-size:12px;margin-top:2px">Extra to principal, then invest freed-up payment</div></td>
        <td>${payoffYrA}</td>
        <td>$${Math.round(sim.finalA.investment).toLocaleString()}</td>
        <td>$${Math.round(sim.finalA.balance).toLocaleString()}</td>
        <td><strong>$${Math.round(sim.finalA.net).toLocaleString()}</strong></td>
      </tr>
      <tr>
        <td><strong>Invest the Extra</strong><div style="color:var(--text-muted);font-size:12px;margin-top:2px">Minimum payment, invest difference each month</div></td>
        <td>${years.toFixed(1)} yr</td>
        <td>$${Math.round(sim.finalB.investment).toLocaleString()}</td>
        <td>$${Math.round(sim.finalB.balance).toLocaleString()}</td>
        <td><strong>$${Math.round(sim.finalB.net).toLocaleString()}</strong></td>
      </tr>
    `;

    // Stress test
    const stressInvestRate = stressReturn / 100 / 12;
    const stressSim = simulatePayDownVsInvest({
      balance, monthlyRate, monthsTotal, basePayment, extra, monthlyInvestRate: stressInvestRate
    });
    const baseDiff = sim.finalB.net - sim.finalA.net;
    const stressDiff = stressSim.finalB.net - stressSim.finalA.net;
    const baseWinner = baseDiff >= 0 ? 'Invest' : 'Pay Down';
    const stressWinner = stressDiff >= 0 ? 'Invest' : 'Pay Down';
    const flips = baseWinner !== stressWinner;

    document.getElementById('mtg-stress-rows').innerHTML = `
      <tr>
        <td><strong>Base Case</strong><div style="color:var(--text-muted);font-size:12px;margin-top:2px">${expectedReturn.toFixed(2)}% expected return</div></td>
        <td>${baseDiff < 0 ? '<strong>$' + Math.abs(Math.round(baseDiff)).toLocaleString() + '</strong>' : '—'}</td>
        <td>${baseDiff >= 0 ? '<strong>$' + Math.round(baseDiff).toLocaleString() + '</strong>' : '—'}</td>
        <td><strong style="color:${baseDiff >= 0 ? 'var(--accent)' : 'var(--navy)'}">${baseWinner} wins</strong></td>
      </tr>
      <tr>
        <td><strong>Stress Test</strong><div style="color:var(--text-muted);font-size:12px;margin-top:2px">${stressReturn.toFixed(2)}% return</div></td>
        <td>${stressDiff < 0 ? '<strong>$' + Math.abs(Math.round(stressDiff)).toLocaleString() + '</strong>' : '—'}</td>
        <td>${stressDiff >= 0 ? '<strong>$' + Math.round(stressDiff).toLocaleString() + '</strong>' : '—'}</td>
        <td><strong style="color:${stressDiff >= 0 ? 'var(--accent)' : 'var(--navy)'}">${stressWinner} wins${flips ? ' ⚠' : ''}</strong></td>
      </tr>
    `;

    // Verdict
    const verdictEl = document.getElementById('mtg-verdict-text');
    let verdict;
    if (extra <= 0) {
      verdict = 'Enter an extra monthly amount to compare strategies.';
    } else if (Math.abs(diff) < 5000) {
      verdict = `It's effectively a wash. The numbers are within $${Math.round(Math.abs(diff)).toLocaleString()} over ${years} years — well inside the margin of error on a long-horizon return assumption. Decide on what feels right: peace of mind from a paid-off mortgage, or liquidity from a brokerage account.`;
    } else if (diff > 0) {
      const winnerVerdict = `Mathematically, investing wins by about $${Math.round(diff).toLocaleString()} at year ${years}. The expected return (${expectedReturn.toFixed(2)}%) beats the mortgage rate (${rate.toFixed(2)}%) by ${spread.toFixed(2)} points.`;
      const caveat = flips
        ? ` <strong>The stress test flips the answer</strong> — at ${stressReturn.toFixed(2)}%, pay-down wins by $${Math.abs(Math.round(stressDiff)).toLocaleString()}. Investing only wins if returns hold up. Mortgage payoff is a guaranteed return; investing is not.`
        : ` Even at ${stressReturn.toFixed(2)}%, investing still ${stressDiff >= 0 ? 'wins by $' + Math.round(stressDiff).toLocaleString() : 'loses by $' + Math.abs(Math.round(stressDiff)).toLocaleString()}. ${stressDiff >= 0 ? 'The case is reasonably durable.' : 'The math gets thinner under tougher conditions.'}`;
      verdict = winnerVerdict + caveat;
    } else {
      verdict = `Pay down the mortgage. The mortgage rate (${rate.toFixed(2)}%) exceeds the expected return (${expectedReturn.toFixed(2)}%) by ${(-spread).toFixed(2)} points. Pay-down wins by about $${Math.abs(Math.round(diff)).toLocaleString()} at year ${years} — and unlike investing, that return is guaranteed.`;
    }
    verdictEl.innerHTML = verdict;

    drawMortgageChart(sim.seriesA, sim.seriesB);
  }

  function drawMortgageChart(seriesA, seriesB) {
    const canvas = document.getElementById('mtg-chart');
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 380;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const pad = { l: 78, r: 20, t: 18, b: 42 };
    const cW = W - pad.l - pad.r, cH = H - pad.t - pad.b;
    const n = Math.max(seriesA.length, seriesB.length);
    const allValues = [...seriesA.map(d => d.net), ...seriesB.map(d => d.net)];
    const maxV = Math.max(...allValues, 1);
    const minV = Math.min(...allValues, 0);
    const range = maxV - minV || 1;
    const accent = getCssVar('--accent'), navy = getCssVar('--navy'), border = getCssVar('--border'), muted = getCssVar('--text-muted');

    ctx.strokeStyle = border; ctx.lineWidth = 1; ctx.font = '11px Poppins, sans-serif'; ctx.fillStyle = muted;
    for (let i = 0; i <= 4; i++) {
      const y = pad.t + (cH * i / 4);
      ctx.beginPath(); ctx.moveTo(pad.l, y); ctx.lineTo(W - pad.r, y); ctx.stroke();
      const v = maxV - (range * i / 4);
      ctx.textAlign = 'right'; ctx.fillText(fmt(v), pad.l - 8, y + 4);
    }

    ctx.textAlign = 'center';
    const totalYrs = (n - 1);
    const labelStep = totalYrs > 15 ? Math.ceil(totalYrs / 8) : 1;
    for (let i = 0; i < n; i += labelStep) {
      ctx.fillText('Yr ' + i, pad.l + (cW * i / Math.max(n - 1, 1)), H - pad.b + 20);
    }

    const xAt = (i) => pad.l + (cW * i / Math.max(n - 1, 1));
    const yAt = (v) => pad.t + cH * (1 - (v - minV) / range);

    if (minV < 0) {
      ctx.strokeStyle = border; ctx.lineWidth = 1.5; ctx.setLineDash([4, 4]);
      ctx.beginPath(); ctx.moveTo(pad.l, yAt(0)); ctx.lineTo(W - pad.r, yAt(0)); ctx.stroke();
      ctx.setLineDash([]);
    }

    ctx.strokeStyle = accent; ctx.lineWidth = 3.5;
    ctx.beginPath();
    seriesA.forEach((d, i) => { const x = xAt(i), y = yAt(d.net); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    ctx.strokeStyle = navy; ctx.lineWidth = 3.5;
    ctx.beginPath();
    seriesB.forEach((d, i) => { const x = xAt(i), y = yAt(d.net); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); });
    ctx.stroke();

    attachChartTooltip('mtg-chart', {
      n: n, padLeft: pad.l, padRight: pad.r, padTop: pad.t, padBottom: pad.b,
      xLabel: (i) => 'Year ' + i,
      series: [
        { label: 'Pay Down', color: accent, getValue: (i) => seriesA[i] ? fmtFull(seriesA[i].net) : '—' },
        { label: 'Invest', color: navy, getValue: (i) => seriesB[i] ? fmtFull(seriesB[i].net) : '—' }
      ]
    });
  }


  /* ==================== CAPITAL GAINS ESTIMATOR ==================== */
  // 2026 LTCG brackets — IRS Rev. Proc. 2025-32
  const CG_LTCG_2026 = {
    single: { rate0to15: 49450,  rate15to20: 545500, niitThreshold: 200000 },
    mfj:    { rate0to15: 98900,  rate15to20: 613700, niitThreshold: 250000 }
  };

  // 2026 ordinary income brackets — IRS Rev. Proc. 2025-32
  const CG_ORDINARY_2026 = {
    single: [
      { top: 12400,    rate: 0.10 },
      { top: 50400,    rate: 0.12 },
      { top: 105700,   rate: 0.22 },
      { top: 201775,   rate: 0.24 },
      { top: 256225,   rate: 0.32 },
      { top: 640600,   rate: 0.35 },
      { top: Infinity, rate: 0.37 }
    ],
    mfj: [
      { top: 24800,    rate: 0.10 },
      { top: 100800,   rate: 0.12 },
      { top: 211400,   rate: 0.22 },
      { top: 403550,   rate: 0.24 },
      { top: 512450,   rate: 0.32 },
      { top: 768700,   rate: 0.35 },
      { top: Infinity, rate: 0.37 }
    ]
  };

  let cgState = { holding: 'lt', inputStyle: 'gain', filing: 'mfj' };

  function setCGHold(h) {
    cgState.holding = h;
    document.getElementById('cg-hold-lt').classList.toggle('active', h === 'lt');
    document.getElementById('cg-hold-st').classList.toggle('active', h === 'st');
    calcCG();
  }

  function setCGInput(style) {
    cgState.inputStyle = style;
    document.getElementById('cg-input-gain').classList.toggle('active', style === 'gain');
    document.getElementById('cg-input-basis').classList.toggle('active', style === 'basis');
    document.getElementById('cg-gain-field').style.display = style === 'gain' ? 'block' : 'none';
    document.getElementById('cg-proceeds-field').style.display = style === 'basis' ? 'block' : 'none';
    document.getElementById('cg-basis-field').style.display = style === 'basis' ? 'block' : 'none';
    calcCG();
  }

  function setCGFiling(fs) {
    cgState.filing = fs;
    document.getElementById('cg-fs-mfj').classList.toggle('active', fs === 'mfj');
    document.getElementById('cg-fs-single').classList.toggle('active', fs === 'single');
    calcCG();
  }

  function ltcgStackTax(ordinaryIncome, gain, filing) {
    const br = CG_LTCG_2026[filing];
    const stackBottom = ordinaryIncome;
    const stackTop = ordinaryIncome + gain;
    let tax = 0;
    const slices = [];
    if (stackBottom < br.rate0to15) {
      const sliceTop = Math.min(stackTop, br.rate0to15);
      const slice = Math.max(0, sliceTop - stackBottom);
      if (slice > 0) slices.push({ rate: 0, amount: slice, tax: 0 });
    }
    if (stackTop > br.rate0to15 && stackBottom < br.rate15to20) {
      const sb = Math.max(stackBottom, br.rate0to15);
      const st = Math.min(stackTop, br.rate15to20);
      const slice = Math.max(0, st - sb);
      if (slice > 0) {
        const t = slice * 0.15;
        tax += t;
        slices.push({ rate: 0.15, amount: slice, tax: t });
      }
    }
    if (stackTop > br.rate15to20) {
      const sb = Math.max(stackBottom, br.rate15to20);
      const slice = Math.max(0, stackTop - sb);
      if (slice > 0) {
        const t = slice * 0.20;
        tax += t;
        slices.push({ rate: 0.20, amount: slice, tax: t });
      }
    }
    return { tax, slices };
  }

  function ordinaryStackTax(ordinaryIncome, gain, filing) {
    const brackets = CG_ORDINARY_2026[filing];
    const stackBottom = ordinaryIncome;
    const stackTop = ordinaryIncome + gain;
    let tax = 0;
    const slices = [];
    let prev = 0;
    for (const b of brackets) {
      const sb = Math.max(stackBottom, prev);
      const st = Math.min(stackTop, b.top);
      if (st > sb) {
        const slice = st - sb;
        const t = slice * b.rate;
        tax += t;
        slices.push({ rate: b.rate, amount: slice, tax: t });
      }
      prev = b.top;
      if (stackTop <= b.top) break;
    }
    return { tax, slices };
  }

  function niitOnGain(ordinaryIncome, gain, filing) {
    const br = CG_LTCG_2026[filing];
    const magi = ordinaryIncome + gain;
    if (magi <= br.niitThreshold) return { tax: 0, taxableAmount: 0 };
    const excess = magi - br.niitThreshold;
    const taxableAmount = Math.min(gain, excess);
    return { tax: taxableAmount * 0.038, taxableAmount };
  }

  function marginalRateNext(ordinaryIncome, gain, filing, holding) {
    const stackTop = ordinaryIncome + gain;
    let baseRate;
    if (holding === 'lt') {
      const br = CG_LTCG_2026[filing];
      if (stackTop < br.rate0to15) baseRate = 0;
      else if (stackTop < br.rate15to20) baseRate = 0.15;
      else baseRate = 0.20;
    } else {
      const brackets = CG_ORDINARY_2026[filing];
      baseRate = 0.37;
      for (const b of brackets) {
        if (stackTop < b.top) { baseRate = b.rate; break; }
      }
    }
    const niitBr = CG_LTCG_2026[filing];
    const niitApplies = stackTop >= niitBr.niitThreshold;
    return { rate: baseRate + (niitApplies ? 0.038 : 0), baseRate, niitApplies };
  }

  function calcCG() {
    const otherIncome = +document.getElementById('cg-income').value || 0;
    const stateRate = +document.getElementById('cg-state').value;
    let gain;
    if (cgState.inputStyle === 'gain') {
      gain = +document.getElementById('cg-gain').value || 0;
    } else {
      const proceeds = +document.getElementById('cg-proceeds').value || 0;
      const basis = +document.getElementById('cg-basis').value || 0;
      gain = proceeds - basis;
    }

    document.getElementById('v-cg-gain').textContent = '$' + (+document.getElementById('cg-gain').value || 0).toLocaleString();
    document.getElementById('v-cg-proceeds').textContent = '$' + (+document.getElementById('cg-proceeds').value || 0).toLocaleString();
    document.getElementById('v-cg-basis').textContent = '$' + (+document.getElementById('cg-basis').value || 0).toLocaleString();
    document.getElementById('v-cg-income').textContent = '$' + otherIncome.toLocaleString();
    document.getElementById('v-cg-state').textContent = stateRate.toFixed(2) + '%';

    if (gain <= 0) {
      document.getElementById('cg-kpi-total').textContent = '$0';
      document.getElementById('cg-kpi-eff').textContent = '0.00%';
      document.getElementById('cg-kpi-net').textContent = '$' + Math.round(gain).toLocaleString();
      document.getElementById('cg-kpi-marginal').textContent = '—';
      document.getElementById('cg-kpi-marginal-sub').textContent = 'No taxable gain';
      document.getElementById('cg-breakdown').innerHTML = '<tr><td colspan="4" style="text-align:center;color:var(--text-muted)">No taxable gain. Losses offset other gains and up to $3,000 of ordinary income per year.</td></tr>';
      document.getElementById('cg-verdict-text').textContent = gain < 0
        ? `A realized loss of $${Math.abs(gain).toLocaleString()}. It first offsets other capital gains; up to $3,000 of any excess loss can offset ordinary income, with the remainder carrying forward indefinitely.`
        : 'Enter a gain amount to see the tax estimate.';
      drawCGChart(otherIncome, 0, cgState.filing);
      return;
    }

    const fedResult = cgState.holding === 'lt'
      ? ltcgStackTax(otherIncome, gain, cgState.filing)
      : ordinaryStackTax(otherIncome, gain, cgState.filing);
    const niit = niitOnGain(otherIncome, gain, cgState.filing);
    const stateTax = gain * (stateRate / 100);
    const totalTax = fedResult.tax + niit.tax + stateTax;
    const effectiveRate = (totalTax / gain) * 100;
    const netAfterTax = gain - totalTax;
    const marg = marginalRateNext(otherIncome, gain, cgState.filing, cgState.holding);
    const marginalTotal = (marg.rate * 100) + stateRate;

    document.getElementById('cg-kpi-total').textContent = '$' + Math.round(totalTax).toLocaleString();
    document.getElementById('cg-kpi-eff').textContent = effectiveRate.toFixed(2) + '%';
    document.getElementById('cg-kpi-net').textContent = '$' + Math.round(netAfterTax).toLocaleString();
    document.getElementById('cg-kpi-marginal').textContent = marginalTotal.toFixed(1) + '%';
    document.getElementById('cg-kpi-marginal-sub').textContent =
      (marg.baseRate * 100).toFixed(0) + '% fed' +
      (marg.niitApplies ? ' + 3.8% NIIT' : '') +
      (stateRate > 0 ? ' + ' + stateRate.toFixed(2) + '% state' : '');

    let rows = '';
    fedResult.slices.forEach(s => {
      rows += `<tr><td>Federal — ${(s.rate * 100).toFixed(0)}% bracket</td><td>$${Math.round(s.amount).toLocaleString()}</td><td>${(s.rate * 100).toFixed(0)}%</td><td>$${Math.round(s.tax).toLocaleString()}</td></tr>`;
    });
    if (niit.tax > 0) {
      rows += `<tr><td>NIIT (3.8%)</td><td>$${Math.round(niit.taxableAmount).toLocaleString()}</td><td>3.8%</td><td>$${Math.round(niit.tax).toLocaleString()}</td></tr>`;
    }
    if (stateTax > 0) {
      rows += `<tr><td>State Tax</td><td>$${Math.round(gain).toLocaleString()}</td><td>${stateRate.toFixed(2)}%</td><td>$${Math.round(stateTax).toLocaleString()}</td></tr>`;
    }
    rows += `<tr style="border-top:2px solid var(--border)"><td><strong>Total</strong></td><td><strong>—</strong></td><td><strong>${effectiveRate.toFixed(2)}% effective</strong></td><td><strong>$${Math.round(totalTax).toLocaleString()}</strong></td></tr>`;
    document.getElementById('cg-breakdown').innerHTML = rows;

    const verdictEl = document.getElementById('cg-verdict-text');
    let verdict = '';
    const filingLbl = cgState.filing === 'mfj' ? 'MFJ' : 'Single';
    if (cgState.holding === 'st') {
      verdict = `<strong>Short-term gains hurt.</strong> This $${Math.round(gain).toLocaleString()} gain is taxed as ordinary income at an effective rate of ${effectiveRate.toFixed(1)}%. `;
      const ltCounterfactual = ltcgStackTax(otherIncome, gain, cgState.filing);
      const ltSavings = fedResult.tax - ltCounterfactual.tax;
      if (ltSavings > 1000) {
        verdict += `If the position is close to the 1-year holding mark, waiting until long-term treatment would save approximately $${Math.round(ltSavings).toLocaleString()} in federal tax alone.`;
      }
    } else {
      const br = CG_LTCG_2026[cgState.filing];
      const slicesAt15 = fedResult.slices.find(s => s.rate === 0.15);
      const slicesAt20 = fedResult.slices.find(s => s.rate === 0.20);
      if (slicesAt20) {
        verdict = `Part of this gain ($${Math.round(slicesAt20.amount).toLocaleString()}) lands in the 20% LTCG bracket. `;
        const distanceTo20 = br.rate15to20 - otherIncome;
        if (distanceTo20 > 0 && distanceTo20 < gain) {
          const splitSavings = slicesAt20.amount * 0.05;
          verdict += `<strong>Splitting the sale could matter.</strong> Selling $${Math.round(distanceTo20).toLocaleString()} this year (filling the 15% bracket) and the remaining $${Math.round(gain - distanceTo20).toLocaleString()} next year would save roughly $${Math.round(splitSavings).toLocaleString()} in federal tax — assuming similar income next year. `;
        }
      } else if (slicesAt15 && otherIncome < br.rate0to15) {
        const inZero = fedResult.slices.find(s => s.rate === 0);
        if (inZero) {
          verdict = `Nice — the first $${Math.round(inZero.amount).toLocaleString()} of this gain is taxed at 0% because it stacks within the LTCG 0% bracket. `;
        }
      } else if (slicesAt15 && !slicesAt20) {
        verdict = `The full gain is taxed at 15% federal. `;
      }
      if (niit.tax > 0) {
        const distanceToNIIT = br.niitThreshold - otherIncome;
        if (distanceToNIIT > 0 && distanceToNIIT < gain) {
          verdict += `<strong>This sale crosses the NIIT threshold</strong> ($${br.niitThreshold.toLocaleString()} MAGI for ${filingLbl}). $${Math.round(niit.taxableAmount).toLocaleString()} of the gain catches the 3.8% surtax. `;
        } else {
          verdict += `Client is already over the $${br.niitThreshold.toLocaleString()} NIIT threshold, so the full gain catches the 3.8% surtax. `;
        }
      } else if (otherIncome + gain > br.niitThreshold * 0.9 && otherIncome + gain <= br.niitThreshold) {
        verdict += `<em>Heads up:</em> at $${(otherIncome + gain).toLocaleString()} MAGI, the client is within $${Math.round(br.niitThreshold - (otherIncome + gain)).toLocaleString()} of the NIIT threshold. Any additional income this year could trigger the 3.8% surtax. `;
      }
      verdict += `Total bill: $${Math.round(totalTax).toLocaleString()}. Effective rate on the gain: ${effectiveRate.toFixed(2)}%.`;
    }
    verdictEl.innerHTML = verdict;

    drawCGChart(otherIncome, gain, cgState.filing);
  }

  function drawCGChart(ordinaryIncome, gain, filing) {
    const canvas = document.getElementById('cg-chart');
    if (!canvas) return;
    const ctx = canvas.getContext('2d');
    const rect = canvas.parentElement.getBoundingClientRect();
    const W = rect.width, H = 200;
    canvas.width = W * devicePixelRatio;
    canvas.height = H * devicePixelRatio;
    canvas.style.width = W + 'px';
    canvas.style.height = H + 'px';
    ctx.scale(devicePixelRatio, devicePixelRatio);
    ctx.clearRect(0, 0, W, H);

    const br = CG_LTCG_2026[filing];
    const stackTop = ordinaryIncome + gain;
    const axisMax = Math.max(stackTop, br.rate15to20) * 1.15;

    const pad = { l: 16, r: 16, t: 32, b: 50 };
    const cW = W - pad.l - pad.r;
    const barH = 56;
    const barY = pad.t + 10;
    const xAt = (v) => pad.l + (cW * v / axisMax);

    const accent = getCssVar('--accent');
    const muted = getCssVar('--text-muted');
    const border = getCssVar('--border');
    const navy = getCssVar('--navy');

    // Bracket band backgrounds
    ctx.fillStyle = '#10b98115';
    ctx.fillRect(pad.l, barY, xAt(br.rate0to15) - pad.l, barH);
    ctx.fillStyle = '#f59e0b15';
    ctx.fillRect(xAt(br.rate0to15), barY, xAt(br.rate15to20) - xAt(br.rate0to15), barH);
    ctx.fillStyle = '#ef444415';
    ctx.fillRect(xAt(br.rate15to20), barY, (pad.l + cW) - xAt(br.rate15to20), barH);

    // Stack bars
    if (ordinaryIncome > 0) {
      ctx.fillStyle = muted + '60';
      ctx.fillRect(pad.l, barY, xAt(ordinaryIncome) - pad.l, barH);
    }
    if (gain > 0) {
      ctx.fillStyle = accent;
      ctx.fillRect(xAt(ordinaryIncome), barY, xAt(stackTop) - xAt(ordinaryIncome), barH);
    }

    ctx.strokeStyle = border;
    ctx.lineWidth = 1;
    ctx.strokeRect(pad.l, barY, cW, barH);

    // Bracket boundary markers
    ctx.font = '11px Poppins, sans-serif';
    const markBoundaries = [
      { v: br.rate0to15,    label: '0%/15%',  subLabel: '$' + (br.rate0to15 / 1000).toFixed(1) + 'K' },
      { v: br.rate15to20,   label: '15%/20%', subLabel: '$' + (br.rate15to20 / 1000).toFixed(0) + 'K' },
      { v: br.niitThreshold, label: 'NIIT',   subLabel: '$' + (br.niitThreshold / 1000).toFixed(0) + 'K' }
    ];
    markBoundaries.forEach(m => {
      const x = xAt(m.v);
      if (x > pad.l + 20 && x < pad.l + cW - 20) {
        ctx.strokeStyle = m.label === 'NIIT' ? navy : muted;
        ctx.lineWidth = 1;
        ctx.setLineDash(m.label === 'NIIT' ? [4, 3] : [2, 3]);
        ctx.beginPath();
        ctx.moveTo(x, barY - 4);
        ctx.lineTo(x, barY + barH + 4);
        ctx.stroke();
        ctx.setLineDash([]);
        ctx.fillStyle = m.label === 'NIIT' ? navy : muted;
        ctx.textAlign = 'center';
        ctx.fillText(m.label, x, barY - 8);
        ctx.fillText(m.subLabel, x, barY + barH + 16);
      }
    });

    // Stack-top indicator
    if (gain > 0) {
      const x = xAt(stackTop);
      ctx.strokeStyle = accent;
      ctx.lineWidth = 2;
      ctx.beginPath();
      ctx.moveTo(x, barY - 6);
      ctx.lineTo(x, barY + barH + 6);
      ctx.stroke();
      ctx.fillStyle = accent;
      ctx.textAlign = 'center';
      ctx.font = 'bold 11px Poppins, sans-serif';
      ctx.fillText('Total: $' + Math.round(stackTop / 1000) + 'K', x, barY + barH + 32);
    }

    // Bracket band labels
    ctx.font = '10px Poppins, sans-serif';
    ctx.fillStyle = muted;
    ctx.textAlign = 'center';
    const lbl0 = (pad.l + xAt(br.rate0to15)) / 2;
    const lbl15 = (xAt(br.rate0to15) + xAt(br.rate15to20)) / 2;
    const lbl20 = (xAt(br.rate15to20) + pad.l + cW) / 2;
    if (xAt(br.rate0to15) - pad.l > 40) ctx.fillText('0% LTCG', lbl0, barY + barH / 2 + 4);
    if (xAt(br.rate15to20) - xAt(br.rate0to15) > 40) ctx.fillText('15% LTCG', lbl15, barY + barH / 2 + 4);
    if ((pad.l + cW) - xAt(br.rate15to20) > 40) ctx.fillText('20% LTCG', lbl20, barY + barH / 2 + 4);
  }


  window.addEventListener('resize', recalcActive);

  (async () => {
    await initTheme();
    renderGrid();
    // Don't auto-restore last view — always start at portal home
  })();
</script>
</body>
</html>

  