🛠️ GMGN Launches Open-Source Contest

GMGN Skills v1.2.4 introduces dedicated multi-wallet capabilities for AI trading agents. **New Features:** - Multi-wallet market swaps - Multi-wallet trailing take-profit and stop-loss orders - "Created Tokens" view showing developer wallet token creation history - Fixed "Track follow-wallet" with optional --wallet parameter - Enhanced gmgn-token fields including launchpad data, migrated pool info, ATH, and locked ratio **Installation:** ``` npm install -g gmgn-cli npx skills add GMGNAI/gmgn-skills ``` This update builds on recent additions including limit orders, advanced TP/SL strategies, and Trenches filtering with 60+ data metrics. The platform enables AI agents to execute complex on-chain trading logic through natural language prompts. [Full details on GitHub](https://github.com/GMGNAI/gmgn-skills/discussions/95)

**Cooking Bags tokens have introduced a new revenue-sharing feature with TikTok accounts**, creating a direct link between content creation and token earnings. **Key updates:** - Cooking Bags tokens now support revenue distribution to TikTok creators - The Bags token revenue share interface displays connected TikTok accounts - Token holders can view revenue allocation details at a glance This integration bridges social media content creation with cryptocurrency earnings, allowing TikTok creators to participate in token revenue streams. The transparent display system makes it easy to understand how revenue flows between token holders and content creators.

GMGN has introduced adjustable candlestick marker sizes on its trading platform. **Key Update:** - Users can now customize the size of candlestick markers on charts - Traders can choose between larger, more visible icons or a cleaner, minimalist view - The feature allows instant switching to match individual charting preferences This follows GMGN's previous update that added amount filtering for candle markers, allowing users to filter out noise and focus on significant transactions above custom thresholds. Try the new feature at [gmgn.ai](http://gmgn.ai)

A GMGN user developed a custom filtering system using Claude Code and the GMGN OpenAPI to scan over 3,200 tokens in four days, identifying legitimate projects among trending tokens. **Key Features:** - Filters out bundled, botted, or exit liquidity tokens - Uses GMGN's real-time data for faster signal detection - Open-source implementation available on GitHub **How to Build Your Own:** - Create an API key at [gmgn.ai/ai](https://gmgn.ai/ai) - Access the open-source repository at [github.com/GMGNAI/gmgn-skills](https://github.com/GMGNAI/gmgn-skills) - Supports 60+ data metrics for granular filtering - Enables 0.3s on-chain execution speed The system addresses a common problem: most trending tokens are manipulated by the time they appear on standard feeds. Custom filtering helps traders identify genuine opportunities before they become widely known. *This is informational content only, not investment advice. Always conduct your own research.*