smithery/neversight

user-activity

Pull trading activity from Polymarket for any user

Installation

$ npx skills add smithery/neversight --skill user-activity

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,484 B
  • docs SUMMARY.md 71 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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

Option Description Default
user Username (e.g. gabagool22) or wallet address (0x...) Required
--days N Number of days of history to fetch 7
--limit N Maximum number of trades to fetch 10000
--output PATH Output file (CSV or JSON based on extension) None
--analyze Print analysis summary False
--json Output raw JSON to stdout False

Output Fields (CSV)

Field Description
datetime ISO timestamp
timestamp Unix timestamp
side BUY or SELL
outcome Up or Down
title Market question
size Number of shares
price Price per share
value size * price
slug Market URL slug
eventSlug Event identifier
conditionId Market condition hash
transactionHash On-chain tx hash
proxyWallet Trader wallet

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:

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

  1. 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?)

  1. Compare to market conditions:

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