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Artificial intelligence has moved beyond experimentation in crypto markets. In 2025, AI-driven trading tools are increasingly used by traders who want better discipline, faster execution, and more structured decision-making in volatile markets. This guide explains how AI is actually used in crypto trading, step by step — with a focus on how these strategies are executed in real trading environments.

From South Korea and the OECD accelerating the implementation of crypto regulation and compliance frameworks, to the simultaneous development of TAO ETFs, privacy technologies, mining, and Bitcoin reserves, while security incidents and financial losses continue to rise, the crypto market has entered a new phase amid multiple challenges of "strong regulation + technological evolution + amplified risks."

In 2025, AI trading has become the default, but Alpha hasn’t disappeared — it’s been eroded by crowding, as similar data, models, and strategies cause traders to act in sync and lose their edge.
Real Alpha has shifted to harder-to-copy layers like behavioral and on-chain data, execution quality, risk management, and human judgment in extreme markets, where acting differently — or not acting at all—matters more than better predictions.

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