How to Evaluate an AI Crypto Trading Bot
Start with transparency, risk controls, API permissions, paper trading, and strategy documentation before looking at performance screenshots.
Read feature checklistShort, practical articles for traders researching automation, signals, risk reviews, and bot setup basics.
Start with transparency, risk controls, API permissions, paper trading, and strategy documentation before looking at performance screenshots.
Read feature checklistGrid bots need a price range and rebalancing logic. DCA bots need allocation limits and a plan for when the original thesis breaks.
Read strategy labExecution logs help identify failed signals, exchange delays, repeated losses, and settings that no longer match current market behavior.
Review logs and alertsPaper trading helps test settings without live exposure, but it should still include realistic fees and possible slippage.
Visit FAQUse restricted keys, disable withdrawals, rotate credentials, and never share exchange access with unknown tools.
Privacy notesReview drawdown, open exposure, strategy changes, exchange notices, and whether the market still fits your setup.
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