The cryptocurrency trading ecosystem is witnessing the emergence of artificial intelligence (AI) bots as a dominant model for traders. These AI tools are being deployed for various purposes, including blockchain data research and automated trade execution.
AI deployment in crypto trading comes with risks, however. Traders need to understand how to balance their use of AI systems to avoid pitfalls. Autonomous trading bots, built into exchanges, can execute complex tasks like cross-exchange arbitrage or portfolio rebalancing without human interaction.
Crypto traders are using AI tools for various functions such as automated algorithmic execution, sentiment analysis, and on-chain metrics tracking. For instance, some AI bots use machine learning models to track moving averages and ride market momentum while others identify overbought or oversold assets using the Mean Reversion strategy.