Today’s AI trading bots are based on a limited amount of historical data, meaning completely unknown market events like the 10/10 liquidations or even last week’s severe sell-off will leave agentic trading models short of the mark.
These historical data-driven AI models have never seen huge liquidations in a single day and would find this “very unfamiliar,” Bitget CEO Gracy Chen said on a panel on agentic trading bots at Consensus Hong Kong 2026. As such, human intervention is necessary.
“As an exchange, we do not plan to build our own LLM [large language model]. But trading bots is a big thing,” Chen said. “Current AI bots are a bit like an intern: faster, cheaper, but need some supervision.”
But further down the line, this will be more like a “full-time employee,” and in 3-5 years, AI could replace many of us, Chen said.
These are sentiments heard regularly in the algorithmic trading world when it comes to AI.
While complex LLM and machine learning trading technology is improving at a rapid clip, there are still plenty of people who believe that a human overlay is an essential part of the process – especially in situations like the severe volatility that recently gripped the crypto markets.
Saad Naj, founder and CEO of agency trading startup PiP World joined Chen on the panel, agreeing that the technology is in its infancy and that comes with risk. But he pointed out that 90% of day traders and retail players lose money.
“As humans, we are too emotional. We cannot compete with AI solutions,” said Naj.
