Type: Academic Research Paper / Technical Whitepaper Main Topic: A machine learning system designed to detect market manipulation bots in memecoin markets (specifically Solana/Pump.fun) and automate profitable copytrading. Speakers/Authors: Yichen Luo & Jiahua Xu (University College London), Yebo Feng & Yang Liu (Nanyang Technological University). The explosive rise of memecoins (highlighted by the $TRUMP coin launch in Jan 2025) has popularized "Copy Trading"—where retail investors automatically mimic the trades of successful wallets (KOLs). However, this strategy causes massive losses because the market is saturated with manipulative bots (wash trading, fake volume, ownership hiding). The Goal: To build an automated system that uses MultiAgent AI (LLMs) to filter out scams, identify legitimate "Smart Money" wallets, and execute profitable trades better than a human or a single AI model could. The paper identifies specific automated threats that deceive copy traders: Bundle Bots: Used during token launch. The creator separates funds into multiple wallets to buy tokens in the same block, hiding the fact that one person owns 80% of the supply (to obscure potential "Rug Pulls"). Bump Bots: Washtrading bots that buy/sell the same amount repeatedly to keep the coin on the "Front Page" of tracking apps (inflating visibility). Sniper Bots: Algorithms that buy instantly upon launch (faster than humans) to frontrun legitimate buyers. Comment Bots: Fake social engagement bots that spam "To the Moon" to create an illusion of community. Instead of one AI doing everything, they split the work into four specialized agents: 1. Meme Evaluation Agent: Analyzes the project quality (Candlestick charts + User comments + Onchain metrics). 2. Wallet Evaluation Agent: Analyzes the trader to copy (Consistency + Profitability + Experience). 3. Wealth Agent: Manages the risk and capital allocation. 4. DEX Agent: Executes the actual buy/sell orders on the blockcha
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