AI Trading Agents: True Disruptors in Crypto Markets

Gracy Chen, CEO of Bitget, argues that AI trading agents—not Wall Street infrastructure—will drive the next revolution in crypto trading. Traders face overwhelming market data: real-time prices, whale movements, social sentiment. AI trading agents compress this noise into actionable recommendations and execute strategies automatically. For example, users can set simple rules like “sell BTC if it falls 5% overnight,” and the agent will hedge positions before they wake. While firms like BlackRock and Standard Chartered build essential crypto infrastructure, AI trading agents offer smarter, sustainable engagement. A 2025 JP Morgan survey of 4,200 traders found 61% believe AI will impact markets more than API integrations or blockchain. Retail users echo this: one in seven is willing to hand their portfolio to an algorithm. Unlike static trading bots, AI trading agents dynamically rewrite strategies by fusing sentiment analysis, on-chain data and risk budgets. Exchanges that embed these agents risk losing volume to platforms that deliver “delay to insight” faster than competitors. To stay relevant, trading venues must integrate AI agent APIs, offer transparent audit logs and governance, and shift from passive dashboards to active, user-driven copilots.
Bullish
AI trading agents promise to increase efficiency, liquidity, and user engagement by automating strategy execution and reducing information overload. Historical parallels can be drawn to the rise of algorithmic trading in equities, which boosted volumes and narrowed spreads. In the short term, platforms integrating AI trading agents may see volume migration and tighter price discovery. Long term, widespread adoption of AI agents could deepen liquidity, improve market resilience, and attract more institutional and retail capital. Regulatory clarity around auditability will further legitimize agent-driven trading. Overall, these factors point to a bullish outlook for crypto markets.