SMC Liquidity Hunter

SMC Liquidity Hunter is the institutional-grade decision layer retail traders and AI trading agents don't have. Retail platforms — including Robinhood's own Agentic Trading, launched in May 2026 — are giving AI agents real trading power, but those agents have no visibility into the market structure institutions actually trade on. SMC Liquidity Hunter closes that gap. A real-time Smart Money Concepts engine continuously computes order blocks, fair value gaps, liquidity sweeps, and break-of-structure as live crypto and forex data streams in. That analysis is exposed as callable tools through a genuine MCP server — verified end-to-end with a real JSON-RPC handshake against our live deployment — so any external AI agent can query institutional-grade market reasoning on demand. The reasoning layer runs on Gemma 4 (26B A4B, MoE) served via vLLM on AMD ROCm, on a live MI300X instance on AMD Developer Cloud. We chose the MoE variant specifically for its low-latency tool-calling performance in the agent loop. This isn't a concept — it's proven. We placed a real Alpaca paper order end-to-end: order submitted, order_id returned, status read back as FILLED at live market price, and a cancel-after-fill attempt correctly rejected by the broker. Every core claim in this submission — the MCP handshake, the AMD deployment, the broker execution — was independently verified against live, running infrastructure, not just described.