An autonomous AI trading agent for the Nad.fun ecosystem that automates market scanning, token analysis, trade execution, and profit distribution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nadfunagent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nadfunagent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is nadfunagent?
The nadfunagent is a sophisticated autonomous trading system specifically engineered for the Nad.fun platform on the Monad network. It functions as a comprehensive solution within the ecosystem of Openclaw Skills, designed to eliminate manual trading overhead by automating the discovery and analysis of high-potential tokens. The agent utilizes a multi-layered approach to evaluate market opportunities, combining real-time event monitoring with momentum-based scoring.
By integrating seamlessly with specialized skills for indexing and trading, nadfunagent maintains a continuous lifecycle of position management. It not only identifies and executes trades based on liquidity and holder distribution but also manages risk through automated stop-loss and take-profit mechanisms. Furthermore, it features an integrated profit-sharing module that rewards stakeholders, making it a robust tool for decentralized asset management.
nadfunagent Use Cases
- Automated discovery of new and trending tokens on the Monad blockchain via Nad.fun.
- Systematic execution of momentum trading strategies with built-in risk management.
- Passive portfolio management including automated P&L tracking and position exit logic.
- Community-driven profit distribution to token holders based on realized trading gains.
How nadfunagent Works
- The agent initializes by loading encrypted credentials and network configurations from a local environment file.
- It performs a portfolio audit, checking active positions against real-time on-chain data to calculate current P&L.
- Market scanning is executed through several API methods, prioritizing tokens that appear across multiple data sources like New Events and Market Cap listings.
- Each candidate token is subjected to a weighted scoring algorithm that evaluates liquidity, volume, holder count, and social media authority.
- High-scoring tokens that meet minimum safety filters are automatically purchased using defined position sizing.
- Realized profits from successful trades are calculated and distributed proportionally to MMIND token holders via automated transfer events.
nadfunagent Setup
To deploy this skill within your Openclaw Skills environment, ensure the prerequisite monad-development and nadfun-trading skills are active. Configure your environment file at $HOME/nadfunagent/.env with the following variables:
# Required Configuration
MMIND_TOKEN_ADDRESS=0x...
MONAD_PRIVATE_KEY=0x...
MONAD_RPC_URL=https://your-rpc-url
MONAD_NETWORK=mainnet
You can then initiate the autonomous loop using the OpenClaw CLI:
openclaw cron add --name "Nad.fun Trading Agent" --cron "*/10 * * * *" --message "Run autonomous trading cycle"
nadfunagent Data Schema & Taxonomy
The agent organizes its operational data using a structured file system to ensure persistence and transparency:
| File Path | Data Type | Description |
|---|---|---|
.env |
Configuration | Stores sensitive keys, RPC endpoints, and trading thresholds. |
found_tokens.json |
JSON Archive | Tracks all discovered tokens, their discovery frequency, and timestamps. |
positions_report.json |
Position Log | Records entry prices, current MON values, and historical P&L for active trades. |
nadfunagent Advanced Features
- Multi-Method Signal Aggregation: Prioritizes tokens found in 2+ scanning methods for higher confidence entries.
- Social Authority Filtering: Applies bonus points to tokens with verified Twitter, Telegram, and website links.
- Automated P&L Protection: Features a trailing stop-loss and tiered take-profit system to lock in gains.
- Intelligent Rate Limiting: Implements staggered API calls and exponential backoff to maintain stability across Openclaw Skills integrations.
SKILL.md
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