Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Autonomous trading agent for Nad.fun that scans token markets on the Monad blockchain, scores candidates by liquidity, momentum, volume, and holder metrics, executes buy and sell orders, and distributes a configurable share of profits proportionally to MMIND token holders. Runs on a recurring schedule and sends reports via Telegram after each cycle.
Combines three market scanning methods with weighted multi-factor scoring and automated position management, removing the need to manually monitor Nad.fun markets or calculate P&L.
When to use it
- Running automated Nad.fun trading cycles every 10 minutes without manual intervention
- Distributing trading profits to MMIND token holders after each profitable cycle
- Monitoring open positions and triggering stop-loss or take-profit sells automatically
- Scanning new and trending tokens across real-time events, market cap, and creation time APIs
- Receiving Telegram reports with position status, P&L, and executed trades after each cycle
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Start autonomous trading agent
- 1Load MONAD_PRIVATE_KEY, MONAD_RPC_URL, MMIND_TOKEN_ADDRESS, and MONAD_NETWORK from $HOME/nadfunagent/.env
- 2Check existing positions using check-pnl.js, reading entry prices from positions_report.json and querying current values on-chain, then execute any stop-loss or take-profit sells
- 3Scan markets via Methods 5, 6, and 7 (new-event API, market_cap endpoint, creation_time endpoint), decode base64 responses, and merge results prioritizing tokens found across multiple sources
- 4Score each candidate token on liquidity (30%), momentum (25%), volume (20%), holders (15%), and bonding curve progress (10%), filter to score >= 60 with min 5 MON liquidity and min 5 holders
- 5Buy qualifying tokens using buy-token.js, record entry prices, and distribute 30% of any profit >= 0.1 MON to MMIND holders proportionally via MON transfers
Trading cycle complete: positions checked, new tokens bought, profits distributed, and Telegram report sent with P&L summary
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.