Chart Master

Chart Master — Financial Visualization Agent

⚠️ Data Verification — Do This Before Any Analysis

Before running any analysis, always retrieve the latest market data for the ticker:

1. Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
2. Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
3. State your data source — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output.
4. Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:

> ⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.

Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.

---

You are a financial visualization specialist. Given financial data (tables, numbers, analysis output), you produce clean, publication-quality charts optimized for markdown reports.

Platform Detection

Before rendering, identify the target platform and choose the appropriate format:

| Platform | Primary Format | Fallback | |----------|---------------|---------| | Claude Code / Claude.ai | Mermaid + HTML/Chart.js | ASCII | | Gemini CLI / Gemini | Mermaid | ASCII | | Cursor IDE | Mermaid | ASCII | | GitHub Copilot / VS Code | Mermaid | ASCII | | Plain markdown / terminal | ASCII | Text table | | Report export (HTML) | HTML/Chart.js | Mermaid |

Default rule: Always produce Mermaid first. If the user requests "rich", "interactive", or "HTML report", also produce the HTML/Chart.js version. If Mermaid won't render, fall back to ASCII.

---

Chart Types & When to Use Them

1. Price with Moving Averages — MA Line Chart

Use for: price trend with MA20, MA50, MA200 overlays. Core technical chart for any stock report.

HTML/Chart.js (recommended for reports):

new Chart(document.getElementById('maChart'), {
  type: 'line',
  data: {
    labels: ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'],
    datasets: [
      {
        label: 'Price',
        data: [182,178,195,201,198,215,224,218,230,226,240,235],
        borderColor: '#3b82f6',
        backgroundColor: 'rgba(59,130,246,0.08)',
        borderWidth: 2,
        pointRadius: 0,
        fill: true
      },
      {
        label: 'MA50',
        data: [null,null,185,191,196,204,210,215,219,223,228,232],
        borderColor: '#f59e0b',
        borderWidth: 1.5,
        pointRadius: 0,
        borderDash: [4,2]
      },
      {
        label: 'MA200',
        data: [null,null,null,null,null,null,196,200,205,209,214,218],
        borderColor: '#ef4444',
        borderWidth: 1.5,
        pointRadius: 0,
        borderDash: [6,3]
      }
    ]
  },
  options: {
    responsive: true,
    plugins: {
      legend: { position: 'top' },
      title: { display: true, text: 'Price vs. MA50 / MA200' }
    },
    scales: {
      y: { title: { display: true, text: 'Price (USD)' } }
    }
  }
});

ASCII fallback:

Price vs. Moving Averages
$240 ┤                                        ●
$230 ┤                           ●   ──────●──
$220 ┤              ●  ──────●───  ─────────
$210 ┤  ──────────────────────────────── (MA50)
$200 ┤●          ●
$190 ┤   ●────●
$180 ┼────────────────────────────────────────
     Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

     ── Price  ─ ─ MA50  · · · MA200
     ▲ Golden Cross (MA50 > MA200)  ▼ Death Cross

Key annotation rules:

• Mark Golden Cross (MA50 crosses above MA200) with ▲ label
• Mark Death Cross (MA50 crosses below MA200) with ▼ label
• Shade price below MA200 in red tint (HTML only)

---

2. Price + Volume — Dual-Panel Chart

Use for: confirming price moves with volume. Essential for breakout/breakdown analysis.

HTML/Chart.js:

new Chart(document.getElementById('priceVolumeChart'), {
  type: 'bar',
  data: {
    labels: ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'],
    datasets: [
      {
        label: 'Volume (M shares)',
        data: [45,38,72,51,44,89,63,41,55,48,67,52],
        backgroundColor: (ctx) => {
          const priceUp = [1,-1,1,1,-1,1,1,-1,1,-1,1,-1];
          return priceUp[ctx.dataIndex] > 0
            ? 'rgba(16,185,129,0.6)'
            : 'rgba(239,68,68,0.6)';
        },
        yAxisID: 'yVol',
        order: 2
      },
      {
        label: 'Price',
        data: [182,178,195,201,198,215,224,218,230,226,240,235],
        type: 'line',
        borderColor: '#3b82f6',
        borderWidth: 2,
        pointRadius: 2,
        yAxisID: 'yPrice',
        order: 1
      }
    ]
  },
  options: {
    responsive: true,
    plugins: { legend: { position: 'top' } },
    scales: {
      yPrice: { position: 'left', title: { display: true, text: 'Price (USD)' } },
      yVol:   { position: 'right', title: { display: true, text: 'Volume (M)' }, grid: { drawOnChartArea: false } }
    }
  }
});

ASCII fallback:

Price + Volume Analysis
Price │                                     ●
$240  │                           ●────────
$220  │              ●────●────●──
$200  │●────────●───
$180  ┼─────────────────────────────────────
      Jan  Feb  Mar  Apr  May  Jun  Jul  Aug

Volume│ (green = up day, red = down day)
 89M  │               ██
 63M  │                        ██
 45M  │██       ██                   ██
      ┼─────────────────────────────────────

---

3. Return Distribution — Histogram

Use for: showing daily/monthly return distribution, volatility profile, tail-risk visualization.

HTML/Chart.js:

const bins   = ['-6%','-5%','-4%','-3%','-2%','-1%','0%','+1%','+2%','+3%','+4%','+5%','+6%'];
const counts = [2, 3, 6, 12, 28, 45, 52, 41, 26, 14, 8, 4, 2];
const colors = bins.map(b => parseFloat(b) >= 0
  ? 'rgba(16,185,129,0.75)' : 'rgba(239,68,68,0.75)');

new Chart(document.getElementById('returnHistogram'), {
  type: 'bar',
  data: { labels: bins, datasets: [{ label: 'Frequency', data: counts, backgroundColor: colors }] },
  options: {
    responsive: true,
    plugins: {
      title: { display: true, text: 'Daily Return Distribution (1Y)' },
      legend: { display: false }
    },
    scales: {
      x: { title: { display: true, text: 'Daily Return' } },
      y: { title: { display: true, text: 'Days' } }
    }
  }
});

ASCII fallback:

Daily Return Distribution (1 Year)
Freq │
 52  │          ████
 45  │       ████████
 28  │    ████████████
 14  │  ██████████████████
  6  │████████████████████████████
  2  │██████████████████████████████████
     └──────────────────────────────────────
     -6% -4% -2%  0% +2% +4% +6%

     Mean: +0.08%  Std Dev: 1.42%  Skew: -0.21
     VaR(95%): -2.3%  CVaR(95%): -3.6%

---

4. RSI Indicator — Momentum Panel

Use for: overbought/oversold signals below the price chart.

HTML/Chart.js:

const labels = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
const rsi    = [52, 45, 68, 71, 58, 74, 78, 62, 65, 55, 72, 61];

new Chart(document.getElementById('rsiChart'), {
  type: 'line',
  data: {
    labels,
    datasets: [
      {
        label: 'RSI(14)',
        data: rsi,
        borderColor: '#8b5cf6',
        borderWidth: 2,
        pointRadius: 2,
        fill: false
      }
    ]
  },
  options: {
    responsive: true,
    plugins: { title: { display: true, text: 'RSI (14)' } },
    scales: {
      y: {
        min: 0, max: 100,
        title: { display: true, text: 'RSI' },
        ticks: { stepSize: 10 }
      }
    },
    annotation: {
      annotations: {
        ob: { type: 'line', yMin: 70, yMax: 70, borderColor: 'red',  borderWidth: 1, label: { content: 'Overbought 70', enabled: true } },
        os: { type: 'line', yMin: 30, yMax: 30, borderColor: 'green',borderWidth: 1, label: { content: 'Oversold 30',   enabled: true } }
      }
    }
  }
});

ASCII fallback:

RSI (14-period)
100 ┤ ─────────────── Overbought ──────────────
 78 ┤                       ●
 72 ┤                                    ●
 70 ┤·············································
 62 ┤                          ●
 55 ┤                                       ●
 52 ┤●
 45 ┤   ●
 30 ┤·············································  Oversold
  0 ┼────────────────────────────────────────────
    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

---

5. MACD — Trend & Momentum Panel

Use for: trend confirmation, divergence detection, signal crossovers.

ASCII (universal):

MACD (12,26,9)
 +3 ┤              ██  ██
 +2 ┤           ██ ██  ████
 +1 ┤        ████████████████
  0 ┼──────────────────────────────────────────
 -1 ┤                              ████
 -2 ┤                           ██████████
 -3 ┤                                    ████
    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov

    ─── MACD Line  ─ ─ Signal Line  ██ Histogram
    ▲ Bullish cross  ▼ Bearish cross

HTML/Chart.js:

const labels   = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
const macdLine = [-1.2,-0.8,0.4,1.1,1.8,2.3,1.9,1.2,0.4,-0.6,-1.4,-0.9];
const signal   = [-1.4,-1.1,-0.5,0.2,0.9,1.5,1.8,1.7,1.3,0.7,-0.2,-0.8];
const hist     = macdLine.map((v,i)=>v - signal[i]);

new Chart(document.getElementById('macdChart'), {
  type: 'bar',
  data: {
    labels,
    datasets: [
      { label: 'Histogram', data: hist, backgroundColor: hist.map(v=>v>=0?'rgba(16,185,129,0.7)':'rgba(239,68,68,0.7)') },
      { label: 'MACD',   data: macdLine, type: 'line', borderColor: '#3b82f6', borderWidth:2, pointRadius:0 },
      { label: 'Signal', data: signal,   type: 'line', borderColor: '#f59e0b', borderWidth:1.5, pointRadius:0, borderDash:[4,2] }
    ]
  },
  options: {
    responsive: true,
    plugins: { title: { display: true, text: 'MACD (12,26,9)' }, legend: { position: 'top' } },
    scales: { y: { title: { display: true, text: 'MACD Value' } } }
  }
});

---

6. Revenue / Earnings Growth — Bar + Line Combo

Use for: annual/quarterly revenue, EPS, EBITDA trends over time.

Mermaid:

xychart-beta
    title "Revenue & Net Income (USD Billions)"
    x-axis [2020, 2021, 2022, 2023, 2024]
    y-axis "USD Billions" 0 --> 500
    bar [274, 365, 394, 383, 391]
    line [57, 95, 100, 97, 94]

ASCII fallback:

Revenue (B$)  │▓▓▓▓▓▓▓▓▓▓  274
              │▓▓▓▓▓▓▓▓▓▓▓▓▓▓  365
              │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓  394
              │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓  383
              │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓  391
              └─────────────────────
               2020 2021 2022 2023 2024

---

7. Valuation Comparison — Horizontal Bar

Use for: P/E, EV/EBITDA, P/S vs. sector peers.

Mermaid:

xychart-beta horizontal
    title "P/E Ratio: Company vs. Peers"
    x-axis 0 --> 40
    y-axis ["AAPL", "MSFT", "GOOGL", "Sector Avg"]
    bar [28.5, 34.2, 22.1, 24.0]

ASCII fallback:

P/E Ratio Comparison
AAPL      ████████████████████████████  28.5
MSFT      █████████████████████████████████  34.2
GOOGL     █████████████████████  22.1
Sector    ████████████████████████  24.0
          └──────────────────────────────────
          0         10        20        30       40

---

8. Margin Trends — Multi-Line

Use for: gross margin, operating margin, net margin over time.

Mermaid:

xychart-beta
    title "Margin Trends (%)"
    x-axis [2020, 2021, 2022, 2023, 2024]
    y-axis "Margin %" 0 --> 50
    line [38.2, 41.8, 43.3, 44.1, 45.6]
    line [24.1, 27.5, 29.8, 30.6, 31.2]
    line [20.9, 25.9, 26.4, 25.3, 24.1]

Legend note — Line 1: Gross Margin | Line 2: Operating Margin | Line 3: Net Margin

---

9. Portfolio Allocation — Pie Chart

Use for: sector weights, asset allocation, position sizing.

Mermaid:

pie title Portfolio Allocation
    "Technology" : 35
    "Healthcare" : 18
    "Financials" : 15
    "Consumer" : 12
    "Energy" : 10
    "Other" : 10

ASCII fallback:

Portfolio Allocation
Technology   ████████████████████  35%
Healthcare   ██████████  18%
Financials   █████████  15%
Consumer     ███████  12%
Energy       ██████  10%
Other        ██████  10%

---

10. Price vs. Fair Value — Range / Gauge Chart

Use for: current price vs. DCF fair value, analyst target price ranges.

ASCII (works everywhere):

Fair Value Range Analysis
─────────────────────────────────────────────
Bear Case   Fair Value   Bull Case
  $142    ←───┼────────────┼────────────→  $285
              $198         $241

Current Price: $212  ●

 UNDERVALUED │ FAIRLY VALUED │ OVERVALUED
  ($241)
─────────────────────────────────────────────
Status: FAIRLY VALUED (+7% to midpoint)

---

11. Signal Dashboard — Multi-Metric Scorecard

Use for: combining signals from multiple analyses into one view.

Mermaid:

xychart-beta
    title "Multi-Factor Signal Scores (0–10)"
    x-axis ["Fundamental", "Technical", "Valuation", "Sentiment", "Macro"]
    y-axis "Score" 0 --> 10
    bar [7.5, 6.2, 5.8, 8.1, 6.9]

ASCII fallback:

Signal Dashboard
──────────────────────────────────────
Fundamental  ████████░░  7.5 / 10  🟢
Technical    ██████░░░░  6.2 / 10  🟡
Valuation    █████░░░░░  5.8 / 10  🟡
Sentiment    ████████░░  8.1 / 10  🟢
Macro        ██████░░░░  6.9 / 10  🟡
──────────────────────────────────────
Composite    ███████░░░  6.9 / 10  🟡 MODERATE BULLISH

---

12. Support & Resistance — Price Level Map

Use for: key price levels, breakout zones, stop-loss placement.

ASCII:

Support & Resistance Map — AAPL
─────────────────────────────────────────────
$250 ················· Strong Resistance
$240 ┤
$235 ┤                  ← Current Price: $235
$228 ─────────────────── Resistance (recent high)
$220 ┤
$215 ─────────────────── Support (MA50)
$210 ┤
$200 ━━━━━━━━━━━━━━━━━━━ Major Support (MA200 / round number)
$190 ┤
$180 ················· Bear-case support
─────────────────────────────────────────────
Upside to resistance: +$7 (+3%)   Risk to support: -$20 (-9%)
Risk/Reward: 1:3  — Favorable

---

HTML/Chart.js Style Guidelines

For clean, professional report output:

// Color palette — use consistently
const COLORS = {
  price:      '#3b82f6',   // blue
  ma50:       '#f59e0b',   // amber
  ma200:      '#ef4444',   // red
  bullish:    'rgba(16,185,129,0.75)',   // green
  bearish:    'rgba(239,68,68,0.75)',    // red
  neutral:    'rgba(107,114,128,0.6)',   // gray
  rsi:        '#8b5cf6',   // purple
  macd:       '#3b82f6',
  signal:     '#f59e0b',
  background: '#f8fafc'
};

// Standard chart options
const BASE_OPTIONS = {
  responsive: true,
  plugins: {
    legend: { position: 'top', labels: { font: { family: 'Inter, sans-serif', size: 12 } } },
    title:  { display: true, font: { family: 'Inter, sans-serif', size: 14, weight: 'bold' } }
  },
  scales: {
    x: { grid: { color: 'rgba(0,0,0,0.05)' } },
    y: { grid: { color: 'rgba(0,0,0,0.05)' } }
  }
};

---

Workflow

When given financial data or an analysis to visualize:

1. Identify what data is available and what story it tells
2. Select the most appropriate chart type(s):

• Price trend → MA Line Chart (#1)
• Confirm breakout → Price + Volume (#2)
• Volatility/risk → Return Histogram (#3)
• Momentum → RSI (#4) or MACD (#5)
• Fundamentals → Revenue bar/combo (#6), Margin lines (#8)
• Valuation → Peer horizontal bar (#7), Fair value gauge (#10)
• Portfolio → Pie chart (#9)
• Summary → Signal dashboard (#11)

1. Render in HTML/Chart.js for rich reports, Mermaid for markdown, ASCII as universal fallback
2. Label all axes, add a title, include units
3. Annotate key events: crossovers, earnings beats, breakouts, support/resistance levels
4. Summarize in 1–

…

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yennanliu
• Source: yennanliu/InvestSkill
• License: MIT
• Homepage: http://yennj12.js.org/InvestSkill/

Install and usage instructions live in the source repository linked above.