Team Idea
We are building EVIE—a fully autonomous, agentic execution engine integrated directly with Alpaca's paper trading infrastructure and Model Context Protocol (MCP). EVIE bridges quantitative momentum signals (multi-timeframe EMA crossovers, whipsaw filters, and RSI confirmation) with institutional-grade risk parameters (ATR-based dynamic stop-losses, high-water trailing stops, and automated daily circuit breakers). By leveraging MCP, EVIE allows developers and operators to monitor live telemetry, query real-time market microstructure, and manage portfolio risk using direct natural-language agent workflows.
Team Members
Ujjwal Ayush
ujjwalayush728509