user-activity

Polymarket User Activity Scraper

Pull trading activity from Polymarket's Data API for any user by username or wallet address.

Quick Start

# Analyze gabagool22's last 7 days of trading
python scripts/polymarket-user-activity.py gabagool22 --analyze

# Save to CSV
python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/gabagool22-trades.csv

# Save as JSON
python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/gabagool22-trades.json

# Use wallet address directly
python scripts/polymarket-user-activity.py 0x6031b6eed1c97e853c6e0f03ad3ce3529351f96d --analyze

Options

Output Fields (CSV)

Analysis Summary

The --analyze flag prints:

• Total trade count (BUY/SELL breakdown)
• Total volume in USD
• Date range covered
• Up/Down position breakdown
• Price statistics (avg/min/max)
• Top 5 markets by trade count

Example Analysis Output

============================================================
TRADE ANALYSIS SUMMARY
============================================================

Total trades: 847
  - BUY: 623
  - SELL: 224

Total volume: $42,350.00

Date range: 2024-12-08 09:15 to 2024-12-15 14:30
  (7 days)

Outcome breakdown:
  - UP positions: 412
  - DOWN positions: 435

Price stats:
  - Average: $0.485
  - Min: $0.08
  - Max: $0.92

Top 5 markets by trade count:
  - Bitcoin up or down? (Dec 15, 2:00 PM ET)... (45 trades, $1,250.00)
  - Ethereum up or down? (Dec 15, 10:00 AM ET)... (38 trades, $980.00)
  ...
============================================================

API Details

Uses the Polymarket Data API:

• Base URL: https://data-api.polymarket.com
• Endpoint: /trades?user={wallet}&limit={n}&offset={n}
• Rate limited: 0.5s delay between paginated requests

Strategy Analysis Tips

To analyze a trader's strategy:

1. Pull their recent trades:

   python scripts/polymarket-user-activity.py gabagool22 --days 7 --output data/trades.csv
   

2. Look for patterns:

   • Average position size
   • Entry price ranges (do they buy near 0.50 or closer to extremes?)
   • How often they add to positions vs close them
   • Time patterns (when do they trade most actively?)
   • Up/Down bias (do they favor one direction?)

3. Compare to market conditions:

   • Do they trade more during high volatility?
   • How do they handle losing positions?