AI Agent vs. Trading Bot: Key Differences and When to Use Each
Trading bots execute predefined strategies on market data. AI agents generalize tool use—they may pay for data, negotiate API access, and only sometimes touch markets. The distinction shapes custody, audit, and risk models. Educational content only—nothing here is financial advice or a product endorsement.
Scope of action
Bots optimize for order placement and position management. Agents may chain payments, identity checks, and non-trading workflows in one session.
Risk surface
Agents introduce prompt-injection and tool-misuse paths beyond market risk. Bots introduce strategy drift and exchange API key exposure. Both need policy envelopes.
When each pattern fits
Use narrow bots for repeatable market mechanics. Use agents when workflows span payments, external APIs, and conditional on-chain actions—always with human oversight for high-impact moves.