Backtest → AI Council → Cross-Chain Routing — No Human. No Keys. No Permission.
// Step 1 — VARRD validates the setup statistically const thesis = await varrd.backtest_strategy({ idea: "NVDA squeeze when short float > 18% and options flow bullish", instruments: ["NVDA"], lookback: "10y" }) // → { edge: true, win_rate: 0.71, sharpe: 2.4, oos_locked: true } // Step 2 — SqueezeOS AI council votes on the live setup const verdict = await sml.squeezeos_council({ symbol: "NVDA", context: thesis, payment_token: AP2_TOKEN }) // → { directive: "BUY (IGNITION)", confidence: 91, engines: 7/7 } // Step 3 — If council confirms, Leviathan fires the signal if (verdict.confidence > 85) { const signal = await sml.leviathan_signal({ symbol: "NVDA" }) // Step 4 — Ghost Layer routes execution cross-chain, ZK-shielded const route = await sml.ghost_route({ from_chain: "xrpl", to_chain: "base", amount: signal.position_size, asset: "RLUSD" }) } // Total elapsed: ~4 seconds. Human involvement: 0.█
VARRD's Bonferroni correction + OOS lock means every signal has survived real quant scrutiny — not vibes. No other live trading MCP pipeline starts here.
SqueezeOS runs 7 independent engines and requires supermajority confidence before firing. A statistically validated thesis hits a multi-model committee. That's institutional.
Ghost Layer routes cross-chain in <3s, ZK-shielded. No CEX. No counterparty. The signal goes from idea → capital movement without a human in the loop.
x402 micropayments — no API keys, no accounts, no subscriptions. An agent with a wallet can call the entire pipeline autonomously. That's machine-native finance.