Systems designed to run autonomously. Data-driven. Built to survive live markets.
Python-based parallel execution engine monitoring price discrepancies across prediction markets. The bot ingests real-time order book data via WebSocket, identifies profitable spreads, and executes Complete-or-Abort transactions with on-chain price feeds as reference pricing to validate entry conditions. Currently in test phase on a dedicated Ireland server.
Real-time dashboard consuming Chainlink Data Feeds directly via smart contract reads on the Polygon network. Displays live asset prices alongside latency metrics, deviation tracking, and heartbeat monitoring per feed. Built to demonstrate production-grade integration of oracle data and serve as a reliability layer for trading decisions.
A risk management layer that wraps all trading bots. Enforces Complete-or-Abort execution logic — if any condition fails mid-execution, the full order sequence rolls back. Handles position sizing relative to available capital, per-trade exposure limits, and full structured logging for post-execution analysis. Designed as a composable module deployable across all AMC Labs strategies.
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