The popular image of crypto trading bots as reliable profit machines is not supported by the data. Multiple independent sources — including Coincub and For Traders — report that 73% of automated crypto trading accounts fail within their first six months. Coincub puts it plainly: "most don't" make money, and "most retail bots barely break even." A separate review of AI trading bots confirmed that "most AI bots do not make traders money."
High-return figures that do circulate — such as the 15–25% gains cited in some Forbes coverage — come from cherry-picked top performers, vendor-promoted proprietary systems, or backtests conducted under ideal conditions. These are not representative of the average retail user's experience. The fact that bots execute an estimated 80–89% of global crypto trading volume is also frequently misread as evidence of profitability; in reality, a small number of institutional quant funds account for the vast majority of that activity and consistently outperform retail participants.
Experts emphasize that a bot only amplifies an existing trading edge — it does not create one. Profitability depends on the underlying strategy, market conditions, and fee structures, all of which most retail bots fail to navigate successfully. Survivorship bias further distorts public perception: failed bots and losing accounts are rarely publicized, while the rare success stories are heavily marketed.