In unfamiliar market conditions, historical data-driven AI trading bots will falter

AI trading bots, currently reliant on historical data, struggle with unprecedented market events like sudden liquidations, requiring human oversight. Bitget CEO Gracy Chen likens them to “interns,” needing supervision, while anticipating future advancements where AI becomes a “full employee” within 3-5 years. PiP World CEO Saad Naj acknowledges the technology’s infancy but highlights AI’s advantage over emotional human traders, as 90% of day traders lose money. The consensus is that while AI trading is rapidly improving, human intervention remains crucial, especially during volatile market conditions.

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