MEXC AI Trading Report Reveals 85% of Crypto | Crypto News
Mutsamudu, Comoros, October 16, 2026 — MEXC, a global cryptocurrency exchange, launched its AI Trading Report, based on a survey of 3,708 crypto merchants. The report examines how respondents use AI, how a lot trading authority they might delegate, and what protecting measures they count on from platforms. Blockchain security firm Hacken contributed technical analysis of dangers related with AI agent trading and the controls designed to tackle them.
Key takeaways:
- 84.8% of surveyed crypto customers have used AI for research or trading. While 58.3% report improved market research, 46% also report better commerce execution, though 54% have yet to see enchancment at the execution stage.
- Interest in AI brokers is already important: half of respondents have an interest in AI brokers but haven’t tried them.
- 65.9% of AI customers act on its advice at least sometimes; only 20% have tried execution without approving each commerce.
- 54% would let AI commerce with some funds, but no more than 20% of their account; only 6.5% would authorize more than half.
- Half of customers with automated execution expertise fear they might fail to detect or stop issues in time.
- Willingness to use automated trading grows from 55% under the baseline situation to 71.8% when limits on funds, positions, leverage and losses are added.
- 95.5% assist at least one necessary protecting measure, even as many need control over their own settings.
The report discovered that 84.8% of respondents had used AI to analyze or commerce digital property in the earlier six months, with 53.1% utilizing it at least weekly. Adoption was increased among youthful individuals: 88.5% of respondents aged 18–34 had used AI, in contrast with 69.9% of those aged 45 and older. Among respondents who reported not utilizing AI, issue getting began or high entry limitations was a more common impediment than AI distrust, cited by 46.7% and 32.7%, respectively.
AI’s largest function remained preparation before a commerce. Summarizing news was among the most frequent duties for 54.3% of AI customers, forward of market analysis at 48.6% and discovering trading alternatives at 38%. Only 7.6% chosen direct execution as one of their most-used duties. Looking at their most current AI-assisted commerce, 68.9% said AI contributed most before execution, in contrast with 22.7% during trading.
Users had been also more optimistic about research than execution. While 58.3% reported better market research, 46% reported improved execution. Another 30.9% noticed no change in execution, and 23.1% said it had worsened. These assessments mirror respondents’ experiences slightly than independently measured trading efficiency.
AI advice however influenced trading exercise. Among AI customers, 65.9% said they positioned orders or adjusted positions based on its suggestions at least sometimes. These teams may overlap.
Risk limits modified respondents’ willingness to automate. In a situation offering notifications, pausing and permission revocation, 55% had been prepared to let AI commerce robotically. Adding limits on funds, property, positions, leverage and losses, with computerized stopping at the loss threshold, introduced willingness to 71.8% — an increase of 16.8 proportion factors.
That willingness didn’t lengthen to most of an account’s funds. In a separate situation prohibiting transfers and withdrawals and permitting customers to stop trading at any time, 54% would authorize no more than 20% of their account property and only 6.5% would authorize more than half.
Hacken’s contribution examines why withdrawal restrictions alone can’t forestall losses. An agent with trading access may still be manipulated into shopping for an asset at an inflated price or taking on extreme publicity. Its analysis outlines protecting measures set independently of the agent, including limits on orders, whole positions and permissions, alongside security testing to guarantee undesirable actions are blocked before execution.
On oversight, 46.2% of respondents most popular exchanges to offer security settings customers may select to allow, about 1.8 occasions the share who most popular uniform minimal necessities set by the platform (25.7%). Support for consumer alternative didn’t imply rejecting industry requirements: among those who most popular non-compulsory settings and answered the separate requirements query, 97.8% backed at least one necessary measure.
Across all 3,464 legitimate responses to the requirements query, a risk evaluation or data take a look at before first use obtained the most assist at 55.3%. Independent audits and limits on capital and loss that can’t be disabled adopted at 38.8% each.
“As AI becomes more integrated into trading, our findings show that users don’t want less control. They want clearer boundaries,” said Vugar Usi Zade, CEO of MEXC. “For traders, that means clear risk limits, the ability to intervene when needed, and confidence that the platform has done its part before automation begins.”
The full AI Trading Report, including Hacken’s security contribution, is offered right here.
About MEXC
Founded in 2018, MEXC is a main global multi-asset trading platform constructed as your 0-fee gateway to infinite alternatives. Serving customers across 170+ markets, MEXC supplies simple and environment friendly access to crypto, shares, tokenized property, derivatives, and a growing vary of TradFi-linked alternatives through one account and one gateway.
With 0 trading charges, deep liquidity, broad asset coverage, and a high-performance trading expertise, MEXC is designed for retail customers who need to uncover earlier, act sooner, and commerce with fewer limitations. As crypto and conventional finance continue to converge, MEXC is dedicated to making global alternatives more accessible, serving to customers commerce freely and MEXCmize every alternative.
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