diff --git a/plots/indicator-sma/implementations/highcharts.py b/plots/indicator-sma/implementations/highcharts.py
new file mode 100644
index 0000000000..cf5cfe5df0
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+++ b/plots/indicator-sma/implementations/highcharts.py
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+""" pyplots.ai
+indicator-sma: Simple Moving Average (SMA) Indicator Chart
+Library: highcharts unknown | Python 3.13.11
+Quality: 91/100 | Created: 2026-01-11
+"""
+
+import json
+import tempfile
+import time
+import urllib.request
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+
+
+# Generate sample stock data (365 trading days)
+np.random.seed(42)
+n_days = 365
+dates = pd.date_range(start="2024-01-02", periods=n_days, freq="B")  # Business days
+
+# Generate realistic stock price movement using random walk
+returns = np.random.normal(0.0005, 0.015, n_days)  # Daily returns
+price_start = 150.0
+close_prices = price_start * np.cumprod(1 + returns)
+
+# Add some trend and volatility patterns
+trend = np.linspace(0, 20, n_days)
+close_prices = close_prices + trend
+
+# Create DataFrame
+df = pd.DataFrame({"date": dates, "close": close_prices})
+
+# Calculate SMAs
+df["sma_20"] = df["close"].rolling(window=20).mean()
+df["sma_50"] = df["close"].rolling(window=50).mean()
+df["sma_200"] = df["close"].rolling(window=200).mean()
+
+# Convert dates to timestamps for Highcharts (milliseconds since epoch)
+timestamps = [int(d.timestamp() * 1000) for d in df["date"]]
+
+# Prepare data series (as [timestamp, value] pairs, handling NaN for initial periods)
+close_data = [[t, round(v, 2)] for t, v in zip(timestamps, df["close"], strict=True)]
+sma20_data = [[t, round(v, 2)] for t, v in zip(timestamps, df["sma_20"], strict=True) if not np.isnan(v)]
+sma50_data = [[t, round(v, 2)] for t, v in zip(timestamps, df["sma_50"], strict=True) if not np.isnan(v)]
+sma200_data = [[t, round(v, 2)] for t, v in zip(timestamps, df["sma_200"], strict=True) if not np.isnan(v)]
+
+# Colors (colorblind-safe palette)
+colors = {
+    "close": "#306998",  # Python Blue - price line
+    "sma20": "#FFD43B",  # Python Yellow - short-term
+    "sma50": "#17BECF",  # Cyan - medium-term
+    "sma200": "#9467BD",  # Purple - long-term
+}
+
+# Chart options for Highcharts
+chart_options = {
+    "chart": {
+        "type": "line",
+        "width": 4800,
+        "height": 2700,
+        "backgroundColor": "#ffffff",
+        "marginBottom": 200,
+        "marginLeft": 220,
+        "marginRight": 100,
+        "marginTop": 180,
+        "style": {"fontFamily": "Arial, sans-serif"},
+    },
+    "title": {
+        "text": "indicator-sma · highcharts · pyplots.ai",
+        "style": {"fontSize": "64px", "fontWeight": "bold", "color": "#333333"},
+        "y": 70,
+    },
+    "subtitle": {
+        "text": "Stock Price with 20, 50, and 200-day Simple Moving Averages",
+        "style": {"fontSize": "36px", "color": "#666666"},
+        "y": 130,
+    },
+    "xAxis": {
+        "type": "datetime",
+        "title": {"text": "Date", "style": {"fontSize": "40px", "color": "#333333"}, "margin": 25},
+        "labels": {"style": {"fontSize": "28px", "color": "#333333"}, "format": "{value:%b %Y}", "y": 35},
+        "gridLineWidth": 1,
+        "gridLineColor": "rgba(0, 0, 0, 0.1)",
+        "lineWidth": 2,
+        "lineColor": "#333333",
+        "tickWidth": 2,
+        "tickColor": "#333333",
+        "tickLength": 12,
+    },
+    "yAxis": {
+        "title": {"text": "Price (USD)", "style": {"fontSize": "40px", "color": "#333333"}, "margin": 25},
+        "labels": {"style": {"fontSize": "28px", "color": "#333333"}, "format": "${value:.0f}", "x": -15},
+        "gridLineWidth": 1,
+        "gridLineColor": "rgba(0, 0, 0, 0.1)",
+        "lineWidth": 2,
+        "lineColor": "#333333",
+    },
+    "legend": {
+        "enabled": True,
+        "align": "right",
+        "verticalAlign": "top",
+        "layout": "vertical",
+        "x": -60,
+        "y": 120,
+        "itemStyle": {"fontSize": "28px", "color": "#333333"},
+        "itemMarginBottom": 15,
+        "symbolWidth": 40,
+        "symbolHeight": 18,
+    },
+    "tooltip": {
+        "shared": True,
+        "valueDecimals": 2,
+        "valuePrefix": "$",
+        "headerFormat": '<span style="font-size: 22px">{point.key:%b %d, %Y}</span><br/>',
+        "style": {"fontSize": "22px"},
+    },
+    "plotOptions": {"line": {"lineWidth": 4, "marker": {"enabled": False}}, "series": {"animation": False}},
+    "credits": {"enabled": False},
+    "series": [
+        {"name": "Close Price", "data": close_data, "color": colors["close"], "lineWidth": 5, "zIndex": 4},
+        {
+            "name": "SMA 20",
+            "data": sma20_data,
+            "color": colors["sma20"],
+            "lineWidth": 3,
+            "dashStyle": "Solid",
+            "zIndex": 3,
+        },
+        {
+            "name": "SMA 50",
+            "data": sma50_data,
+            "color": colors["sma50"],
+            "lineWidth": 3,
+            "dashStyle": "ShortDash",
+            "zIndex": 2,
+        },
+        {
+            "name": "SMA 200",
+            "data": sma200_data,
+            "color": colors["sma200"],
+            "lineWidth": 3,
+            "dashStyle": "LongDash",
+            "zIndex": 1,
+        },
+    ],
+}
+
+# Download Highcharts JS
+highcharts_url = "https://code.highcharts.com/highcharts.js"
+with urllib.request.urlopen(highcharts_url, timeout=30) as response:
+    highcharts_js = response.read().decode("utf-8")
+
+# Generate chart options JSON
+chart_options_json = json.dumps(chart_options)
+
+# Generate HTML with inline scripts
+html_content = f"""<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="utf-8">
+    <script>{highcharts_js}</script>
+</head>
+<body style="margin:0; background-color: #ffffff;">
+    <div id="container" style="width: 4800px; height: 2700px;"></div>
+    <script>
+        document.addEventListener('DOMContentLoaded', function() {{
+            Highcharts.chart('container', {chart_options_json});
+        }});
+    </script>
+</body>
+</html>"""
+
+# Write temp HTML file
+with tempfile.NamedTemporaryFile(mode="w", suffix=".html", delete=False, encoding="utf-8") as f:
+    f.write(html_content)
+    temp_path = f.name
+
+# Also save the HTML for interactive viewing
+with open("plot.html", "w", encoding="utf-8") as f:
+    f.write(html_content)
+
+# Take screenshot with headless Chrome
+chrome_options = Options()
+chrome_options.add_argument("--headless")
+chrome_options.add_argument("--no-sandbox")
+chrome_options.add_argument("--disable-dev-shm-usage")
+chrome_options.add_argument("--disable-gpu")
+chrome_options.add_argument("--window-size=4800,2700")
+
+driver = webdriver.Chrome(options=chrome_options)
+driver.get(f"file://{temp_path}")
+time.sleep(5)  # Wait for chart to render
+driver.save_screenshot("plot.png")
+driver.quit()
+
+# Clean up temp file
+Path(temp_path).unlink()
diff --git a/plots/indicator-sma/metadata/highcharts.yaml b/plots/indicator-sma/metadata/highcharts.yaml
new file mode 100644
index 0000000000..a4d48adfea
--- /dev/null
+++ b/plots/indicator-sma/metadata/highcharts.yaml
@@ -0,0 +1,219 @@
+library: highcharts
+specification_id: indicator-sma
+created: '2026-01-11T00:55:05Z'
+updated: '2026-01-11T00:57:47Z'
+generated_by: claude-opus-4-5-20251101
+workflow_run: 20886980688
+issue: 3651
+python_version: 3.13.11
+library_version: unknown
+preview_url: https://storage.googleapis.com/pyplots-images/plots/indicator-sma/highcharts/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/indicator-sma/highcharts/plot_thumb.png
+preview_html: https://storage.googleapis.com/pyplots-images/plots/indicator-sma/highcharts/plot.html
+quality_score: 91
+review:
+  strengths:
+  - Excellent visual clarity with well-differentiated lines using color and dash styles
+  - Proper handling of NaN values for initial SMA periods (filtered out correctly)
+  - Clean, well-structured code with good separation of concerns
+  - Colorblind-safe palette following project guidelines
+  - Appropriate use of Highcharts tooltip sharing for multi-series comparison
+  - Realistic stock data generation with trend and volatility
+  weaknesses:
+  - Legend could be better integrated within the plot area rather than floating outside
+  - Does not use Highcharts Stock module which would provide native financial chart
+    features like range selector
+  image_description: |-
+    The plot displays a stock price chart with Simple Moving Average (SMA) overlays over approximately 365 business days from January 2024 to May 2025. The chart shows:
+
+    - Close Price (blue solid line, #306998) - the main price series showing typical stock price volatility with an overall upward trend from ~$150 to ~$195
+    - SMA 20 (yellow solid line, #FFD43B) - short-term moving average closely following the price
+    - SMA 50 (cyan dashed line, #17BECF) - medium-term moving average showing smoother trend
+    - SMA 200 (purple long-dashed line, #9467BD) - long-term moving average starting later due to the 200-day calculation window
+
+    The title "indicator-sma · highcharts · pyplots.ai" appears at the top with a subtitle describing the chart. The Y-axis shows "Price (USD)" with dollar values ranging from $126 to $212. The X-axis shows dates formatted as "Month Year". A legend is positioned in the upper right corner identifying all four series. Grid lines are visible but subtle.
+  criteria_checklist:
+    visual_quality:
+      score: 36
+      max: 40
+      items:
+      - id: VQ-01
+        name: Text Legibility
+        score: 9
+        max: 10
+        passed: true
+        comment: Title, axis labels, and tick marks are all clearly readable. Font
+          sizes are appropriate for the 4800x2700 canvas, though tick labels could
+          be slightly larger.
+      - id: VQ-02
+        name: No Overlap
+        score: 8
+        max: 8
+        passed: true
+        comment: No overlapping text elements. X-axis labels are well-spaced, legend
+          does not overlap data.
+      - id: VQ-03
+        name: Element Visibility
+        score: 7
+        max: 8
+        passed: true
+        comment: Line widths are appropriate. The price line is prominently thicker
+          (5px) while SMA lines are thinner (3px). Lines are clearly distinguishable.
+      - id: VQ-04
+        name: Color Accessibility
+        score: 5
+        max: 5
+        passed: true
+        comment: Colorblind-safe palette using blue, yellow, cyan, and purple. No
+          red-green conflicts.
+      - id: VQ-05
+        name: Layout Balance
+        score: 5
+        max: 5
+        passed: true
+        comment: Plot fills the canvas well with balanced margins. Good use of space.
+      - id: VQ-06
+        name: Axis Labels
+        score: 2
+        max: 2
+        passed: true
+        comment: Y-axis has Price (USD) with currency formatting. X-axis shows Date
+          with proper date formatting.
+      - id: VQ-07
+        name: Grid & Legend
+        score: 0
+        max: 2
+        passed: false
+        comment: Grid is subtle and appropriate. However, the legend is positioned
+          outside the plot area on the upper right, which is functional but could
+          be better integrated.
+    spec_compliance:
+      score: 25
+      max: 25
+      items:
+      - id: SC-01
+        name: Plot Type
+        score: 8
+        max: 8
+        passed: true
+        comment: Correct line chart type for time series with SMA overlays
+      - id: SC-02
+        name: Data Mapping
+        score: 5
+        max: 5
+        passed: true
+        comment: X-axis is datetime, Y-axis is price values
+      - id: SC-03
+        name: Required Features
+        score: 5
+        max: 5
+        passed: true
+        comment: 'All required features present: price line, 20/50/200-day SMAs, legend
+          showing periods'
+      - id: SC-04
+        name: Data Range
+        score: 3
+        max: 3
+        passed: true
+        comment: All data visible, appropriate axis scaling
+      - id: SC-05
+        name: Legend Accuracy
+        score: 2
+        max: 2
+        passed: true
+        comment: Legend correctly labels Close Price, SMA 20, SMA 50, SMA 200
+      - id: SC-06
+        name: Title Format
+        score: 2
+        max: 2
+        passed: true
+        comment: Title follows format {spec-id} · {library} · pyplots.ai
+    data_quality:
+      score: 18
+      max: 20
+      items:
+      - id: DQ-01
+        name: Feature Coverage
+        score: 7
+        max: 8
+        passed: true
+        comment: 'Shows all aspects: price volatility, trend following by SMAs, SMA
+          crossovers visible around August/September, different smoothing levels.
+          Missing explicit golden/death cross demonstration.'
+      - id: DQ-02
+        name: Realistic Context
+        score: 7
+        max: 7
+        passed: true
+        comment: Realistic stock price movement using random walk with trend, plausible
+          price range and volatility
+      - id: DQ-03
+        name: Appropriate Scale
+        score: 4
+        max: 5
+        passed: true
+        comment: Reasonable starting price ($150), realistic daily returns (~0.05%
+          mean, 1.5% std), appropriate 365-day period
+    code_quality:
+      score: 9
+      max: 10
+      items:
+      - id: CQ-01
+        name: KISS Structure
+        score: 3
+        max: 3
+        passed: true
+        comment: 'Clean linear structure: imports, data generation, SMA calculation,
+          chart config, export'
+      - id: CQ-02
+        name: Reproducibility
+        score: 3
+        max: 3
+        passed: true
+        comment: np.random.seed(42) ensures reproducibility
+      - id: CQ-03
+        name: Clean Imports
+        score: 2
+        max: 2
+        passed: true
+        comment: All imports are used (json, tempfile, time, urllib, Path, numpy,
+          pandas, selenium)
+      - id: CQ-04
+        name: No Deprecated API
+        score: 1
+        max: 1
+        passed: true
+        comment: Using current Highcharts API patterns
+      - id: CQ-05
+        name: Output Correct
+        score: 0
+        max: 1
+        passed: false
+        comment: Outputs both plot.png and plot.html, which is correct for Highcharts
+    library_features:
+      score: 3
+      max: 5
+      items:
+      - id: LF-01
+        name: Distinctive Features
+        score: 3
+        max: 5
+        passed: true
+        comment: Uses Highcharts datetime axis, tooltip formatting with shared tooltip
+          and value formatting. Uses dashStyle for line differentiation. Could leverage
+          more Highcharts-specific features like stock chart module or interactive
+          zooming.
+  verdict: APPROVED
+impl_tags:
+  dependencies:
+  - selenium
+  techniques:
+  - html-export
+  - hover-tooltips
+  patterns:
+  - data-generation
+  - time-series
+  dataprep:
+  - rolling-window
+  styling:
+  - grid-styling