
Vantage is an autonomous AI trading agent built on Alpaca's full developer stack — Trading API, MCP server, and CLI — designed for transparent, explainable algorithmic trading rather than black-box automation. At its core, Vantage runs a pairs-trading strategy on SPY/QQQ, continuously computing rolling z-scores on live market data pulled through Alpaca's MCP server. When a statistically significant spread divergence appears, the signal is handed to Google Gemini, which reasons over the market context and strategy state to decide whether to hold, enter, or exit a position — every decision logged in a full Reasoning Transparency Log showing the market signal, the AI's chain-of-thought, the MCP tools invoked, and the resulting action. Beyond the interactive MCP-driven agent loop, Vantage also uses the Alpaca CLI for scheduled automation tasks — end-of-day rebalancing and position monitoring — demonstrating all three pillars of Alpaca's stack working together: the Trading API for direct data access, MCP for the AI's interactive decision-making, and the CLI for lightweight scheduled jobs. The dashboard itself is built to feel like a real trading terminal: live candlestick charts with volume, a Binance-style scrolling price ticker, a positions and orders panel, and an analytics page reporting Sharpe ratio, win rate, and max drawdown — all computed honestly from real account history, explicitly showing "insufficient data" rather than fabricating numbers when trade history is too sparse. Every trade happens in Alpaca's paper trading environment — real market data, simulated funds, zero financial risk — making Vantage a safe, fully auditable demonstration of how an AI agent can trade with explainable reasoning at every step.
4 Sep 2026

In the fast-paced crypto markets, executing arbitrage requires strict latency controls, secure execution environments, and provable trust. STRIKER addresses these challenges by merging AI-driven market analysis with cryptographic security. STRIKER evaluates the spread between spot and perpetual mechanisms dynamically, utilizing an LLM (Gemini 1.5 Flash) to establish a risk-adjusted spread threshold. It strictly executes Delta-Neutral (cash-and-carry) strategies to capture funding rates and market premiums, effectively mitigating directional exposure. To ensure compliance with the ERC-8004 track, STRIKER fundamentally operates on a workflow of trust: 1. Identity Registration: Registers via the `IdentityRegistry` on Base Sepolia. 2. Capital Handling: Retrieves mock/sandbox capital through the initial provisioning endpoints. 3. Execution via RiskRouter: Crafts and digitally signs an EIP-712 `TradeIntent` directly from its TEE-secured private key, routing it strictly through the RiskRouter. 4. Reputation Update: Sends an immutable `giveFeedback` transaction recording the trade’s exact P&L (yield metrics relative to max drawn down) back into the On-Chain reputation vector. All of this happens inside a verifiable Intel TDX (via dstack) enclave, meaning STRIKER's code execution, prompts, and private keys can never be intercepted or altered, creating a truly trustless verifiable execution path.
12 Apr 2026