⏰ Campaign Overview

• US stocks used to feel out of reach for crypto users, gated behind a broker, a KYC, and a slow withdrawal. That barrier is gone.
• AI narratives rotate fast, and the whole value chain reprices, not just one stock. As demand ripples from GPUs to memory (Micron, SK Hynix), fabrication & packaging (TSMC), and power & cooling, market attention keeps rotating across the chain. That constant rotation is the reason to talk about US stocks right now.
• The real question is "how do you position yourself?" MEXC's answer is four ways to access US stocks from one USDT account: Futures, RealStocks, Tokenized (Ondo × xStocks), and Pre-IPO.
• On MEXC, the full US stock shelf lives in one crypto account: Futures, RealStocks, Tokenized (Ondo × xStocks), and Pre-IPO, all on one APP, no broker and no second app.
• WallStreet Month is the moment to land it: show your audience that US stocks are now something they can join with the assets they already hold.

🎯 Campaign Objective

• Shift the creator narrative from a single IPO moment to a broader market story: AI is becoming a market-wide catalyst across chips, memory, cloud, Big Tech, and the broader US stock landscape.
• Position MEXC as the one-stop US stock platform, the full shelf of US-stock products under one roof: US Stock Futures (trade the move), RealStocks (hold the real share), Tokenized Stocks via Ondo × xStocks (on-chain exposure), and Pre-IPO (SpaceX-style pre-listing access). All in one app, one APP, one login.
• Drive first-time US Stock Futures trades with the cleanest hook: 0 fees + trade with USDT + go long or short, then connect it to WallStreet Month rewards.

🔗 The AI Value Chain in 60 Seconds

AI is not just an NVIDIA story. Behind every ChatGPT or Claude answer sits a full stack of companies, and market attention keeps rotating across the layers. Use this as the setup for "where is the momentum, and how do you position?"

• Models & Applications the AI you use directly: chat, search, autonomous driving. (OpenAI, Anthropic, Google, Tesla)
• Cloud & Compute Services compute packaged as a utility for training and inference. (AWS, Azure, GCP, CoreWeave)
• Chips & Interconnects core compute and high-speed multi-chip orchestration. (NVIDIA, AMD, Broadcom, Marvell)
• Memory & Storage (HBM / DRAM / NAND) feeds data to GPUs at speed; large-capacity storage for massive data volumes. (Micron, SK Hynix, Samsung, SanDisk)
• Fabrication, Packaging & Equipment turns chip designs into mass production. (TSMC, Amkor, Applied Materials, KLA)
• Power, Distribution & Cooling decides whether high-density AI data centers can keep scaling. (Constellation, Vistra, Vertiv, Eaton)