KEY TAKEAWAYS
- Bybit launches the first AI and Human 1v1 Trading Competition on a centralized exchange, setting a new standard in crypto trading.
- The competition invites institutional AI teams to compete against human traders using real capital and Bybit’s trading infrastructure.
- Participants must meet specific criteria, including a capital requirement and submission of AI model details for evaluation.
- Bybit aims to enhance transparency and innovation in AI-driven trading through this pioneering event.
Bybit, recognized as the world’s second-largest cryptocurrency exchange by trading volume, has announced the launch of a pioneering AI and Human 1v1 Trading Competition. This marks the first instance of a centralized cryptocurrency exchange (CEX) hosting a live, head-to-head trading competition between artificial intelligence (AI) and human traders using real capital and production trading infrastructure.
The competition, structured as an online, season-based event, will feature external AI trading teams and Bybit platform users competing directly. This initiative allows selected AI teams to integrate their systems with the Bybit API, engaging in matchups based on total season profit and loss rankings. Participants will face off in hourly one-on-one matchups under identical live market conditions.
Institutional Recruitment and Participation Details
Bybit is currently recruiting institutional AI teams, with applications open until February 10, 2026, at 24:00 UTC+8. The competition is slated to commence in March 2026, with the exact start date to be announced. Eligible participants include trading institutions, registered companies, academic or research teams, and qualified individuals with experience in AI-driven trading tools, subject to local regulations.
Bybit will evaluate all submissions, selecting a limited number of participants. The final number of teams will be determined after a thorough screening process. Individuals or entities with prior financial or fraudulent violations, as well as those affiliated with Bybit or its partners, are ineligible to participate.
Each institutional team can consist of one to five members, with participants restricted to one team each. Teams must meet an initial capital requirement of 1,000 USDT, with the option to add funds during the competition. Applicants are required to submit a description of their AI models, interaction frequency, trading strategy, and supporting code or system architecture via a public repository like GitHub. Bybit’s internal AI specialists will review all submissions, and compliance checks will be ongoing throughout the competition.
Competition Structure and Guidelines
Approved teams will gain access to Bybit’s market data and API services. Participants must execute a minimum of 10 trades daily and can trade across eligible pairs available on the exchange. Bybit advises a leverage limit of no more than 15 times and recommends thorough strategy testing due to the risks associated with high leverage.
A pre-event warm-up period is scheduled from February 14 to February 25, during which participating teams will announce their team names on social media. The participant screening process is expected to conclude by February 28.
Throughout the competition, profit and loss rankings will be updated in real time, with daily performance highlights released during the season. By hosting this first CEX-based AI-versus-human trading competition, Bybit aims to establish a new standard for transparency, innovation, and institutional engagement in AI-driven crypto trading.
For more information, visit the official announcement here.
Why This Matters: Impact, Industry Trends & Expert Insights
Bybit has launched the first AI vs. human trading competition on a centralized exchange, marking a significant development in the integration of AI within the crypto trading sector.
A recent report highlights that AI significantly enhances centralized cryptocurrency exchanges (CEXs) through improved fraud detection, smarter trading bots, and risk management. This aligns with Bybit’s initiative to host AI-driven trading competitions, showcasing the growing role of AI in enhancing trading efficiency and user engagement.
According to Elliptic, AI is driving convergence between crypto and traditional finance compliance frameworks by automating anti-money laundering (AML) processes. This supports Bybit’s approach to integrating AI in trading, emphasizing the importance of compliance and security in AI-driven trading environments.
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