Automate signal-to-trade workflows: research, route, execute, monitor

Automate signal-to-trade workflows: research, route, execute, monitor targets a $700B = 20M active crypto traders x $35K avg annual trading volume (global spot/derivatives notional, excludes institutional OTC) total addressable market with medium saturation and a year-over-year growth rate of 35% (crypto tooling & DeFi composability growth; prediction markets growing faster from small base).

Key trends driving demand: LLM-enabled decisioning -- enables text+signal ingestion and automated plan generation at scale; On-chain data maturity -- rich, indexed on-chain datasets make real-time, auditable automation possible; DeFi composability -- aggregators, relayers and MEV-aware tooling let agents optimize execution across venues; Prediction markets expansion -- growing interest in markets like Polymarket increases demand for automated market making/trading.