Twstock Heatmap

Taiwan Stock Market Heatmap Skill

This skill allows you to capture real-time Taiwan stock market heatmaps and analyze them using AI.

Capabilities

1. Capture Heatmap Screenshot

Use this command to capture the heatmap image.

Command:

# Capture default (Listed stocks)
python skills/twstock-heatmap/scripts/capture_twstock.py

# Capture OTC Electronic
python skills/twstock-heatmap/scripts/capture_twstock.py -t otc-elec

# Capture OTC Semiconductor
python skills/twstock-heatmap/scripts/capture_twstock.py -t otc-semi

2. Analyze Top Losers

Use this command to identify stocks with the biggest drop. (Requires GITHUB_TOKEN)

Command:

# Analyze captured image
python skills/twstock-heatmap/scripts/analyze_twstock.py -i all:twstock.png

Usage Examples

User: "Show me the Taiwan stock heatmap." Agent: Run python skills/twstock-heatmap/scripts/capture_twstock.py

User: "What are the top losers in OTC Electronic sector?" Agent:

1. Run python skills/twstock-heatmap/scripts/capture_twstock.py -t otc-elec
2. Run python skills/twstock-heatmap/scripts/analyze_twstock.py -i otc-elec:twstock_otc-elec.png

Quick Start

The simplest way to capture the Taiwan stock heatmap:

python skills/twstock-heatmap/scripts/capture_twstock.py

This will:

1. Capture the current Taiwan stock market heatmap from nStock.tw
2. Save it as twstock.png in the project root directory
3. Create an twstock_index.html file to display the map

Options

Skip HTML Creation

Use --no-html to only save the PNG screenshot without creating an HTML file:

python skills/twstock-heatmap/scripts/capture_twstock.py --no-html

Debug Mode (Visible Browser)

Use --no-headless to run with a visible browser window for debugging:

python skills/twstock-heatmap/scripts/capture_twstock.py --no-headless

AI Analysis

After capturing the heatmap, you can analyze it to identify the top 5 losers:

python skills/twstock-heatmap/scripts/analyze_twstock.py

This requires a GitHub token (for GitHub Models API):

export GITHUB_TOKEN="your_github_token"
python skills/twstock-heatmap/scripts/analyze_twstock.py

Or pass it directly:

python skills/twstock-heatmap/scripts/analyze_twstock.py --token YOUR_TOKEN

How It Works

Screenshot Flow

1. Opens Chromium browser via Playwright
2. Navigates to nStock.tw heatmap page
3. Waits for the treemap to fully render (handles Nuxt.js SSR)
4. Locates and captures the heatmap section
5. Saves as high-resolution PNG

AI Analysis Flow

1. Reads the captured heatmap screenshot (twstock.png)
2. Sends to GitHub Models API (GPT-4o with Vision)
3. AI identifies all stocks and their price changes
4. Extracts top 5 losers (biggest drops, most red)
5. Generates JSON API file

Output Files

PNG Screenshot

• Location: Project root directory
• Filename: twstock.png
• Format: High-resolution PNG
• Color coding: Green = gains, Red = losses

HTML Viewer (optional)

• File: twstock_index.html in project root
• Style: Dark theme, responsive design
• Content: Displays the captured PNG

JSON API (after analysis)

• Location: api/ directory
• Files:
  • twstock_top_losers.json (full version with metadata)
  • twstock_top_losers_simple.json (simplified version)

API Response Format

Full Version (twstock_top_losers.json)

{
  "status": "success",
  "data": {
    "top_losers": [
      {"ticker": "2330", "name": "台積電", "change": "-2.50%"},
      {"ticker": "2317", "name": "鴻海", "change": "-1.80%"},
      {"ticker": "2454", "name": "聯發科", "change": "-1.50%"},
      {"ticker": "2308", "name": "台達電", "change": "-1.20%"},
      {"ticker": "2412", "name": "中華電", "change": "-0.90%"}
    ],
    "generated_at": "2026-01-14T06:00:00Z",
    "source": "nstock",
    "market": "taiwan"
  },
  "version": "1.0",
  "last_updated": "2026-01-14T06:00:00Z"
}

Simple Version (twstock_top_losers_simple.json)

{
  "top_losers": [
    {"ticker": "2330", "name": "台積電", "change": "-2.50%"},
    {"ticker": "2317", "name": "鴻海", "change": "-1.80%"}
  ],
  "generated_at": "2026-01-14T06:00:00Z",
  "source": "nstock",
  "market": "taiwan"
}

Requirements

• Playwright: Automatically installed if not present
• Pillow (PIL): Automatically installed if not present
• requests: For API calls (auto-installed)
• Chrome/Chromium: Required for browser automation

Taiwan Stock Market Info

Market Hours

• Trading days: Monday to Friday
• Trading hours: 9:00 AM - 1:30 PM (Taiwan Time, UTC+8)
• Best capture time: After 1:30 PM for final daily data

Stock Code Format

• Taiwan stocks use 4-digit codes (e.g., 2330 for TSMC)
• Each stock displays: code, company name, and percentage change

Heatmap Layout

• Stocks grouped by industry sector
• Size represents market capitalization
• Color intensity represents price change magnitude

Source URL

Default heatmap URL:

https://www.nstock.tw/market_index/heatmap?t1=1&t2=0&t3=0&t4=1&t5=0&iid&nh=0

Parameters:

• t1=1: Show listed stocks (上市)
• t2=0: OTC stocks filter
• t3=0: Additional filter
• t4=1: Display mode
• t5=0: Additional option
• nh=0: No header mode

Troubleshooting

Page Load Issues

• The script waits for the treemap to render
• If capture fails, try --no-headless to see what's happening
• Network issues may require retry

Empty or Partial Screenshot

• Increase wait time in the script
• Check if nStock.tw is accessible
• Verify the page loads correctly in a regular browser

AI Analysis Fails

• Ensure GITHUB_TOKEN is set correctly
• Check GitHub Models API quota
• Verify the screenshot is valid and readable

Browser Errors

• Ensure Playwright browsers are installed: playwright install chromium
• Update Playwright: pip install --upgrade playwright
• Close other browser instances

Automation

This skill is designed to run via GitHub Actions for automated daily updates. See .github/workflows/generate-twstock-map.yml for the automation configuration.

License

This project is for educational and personal use. Please respect nStock.tw's terms of service when using this tool.

Data Source

Market data provided by nStock.tw