MEXC Launches Institutionally Priced Multi-Event Prediction Contracts

Tuesday, 09/06/2026 | 17:00 GMT by Tanya Chepkova
  • The cryptocurrency exchange launched Combo, allowing users to combine up to 20 prediction market outcomes into a single position.
  • Unlike traditional prediction market contracts, Combo uses RFQ-based pricing from third-party liquidity providers rather than direct user matching.
MEXC launches Combo for prediction markets
MEXC launches Combo for prediction markets

MEXC has launched Combo, a new prediction market product that allows users to combine up to 20 event outcomes into a single position.

Unlike traditional prediction market contracts that rely on order-book pricing, Combo uses quotes provided by institutional liquidity partners, introducing an RFQ-style model for multi-event prediction trading.

MEXC Brings Multi-Event Trading to Prediction Markets

Available initially for sports and selected cryptocurrency markets, the product lets traders build a single contract around multiple events rather than opening separate positions for each prediction.

For example, a user could combine a prediction on a World Cup match outcome with a cryptocurrency price target and settle both within the same trade.

The trade pays out only if all selected predictions prove correct, while a single incorrect outcome results in no payout. Most prediction market platforms today focus on individual event contracts.

Combo allows users to combine multiple outcomes across sports and crypto markets into a single position, giving traders a way to express broader views across multiple events and asset classes.

The exchange entered the sector with a zero-fee prediction market platform, joining a growing number of trading venues seeking to compete with specialised operators such as Kalshi and Polymarket.

Institutional Liquidity Providers Power the Pricing Model

Unlike traditional prediction markets, Combo positions are not matched directly between retail users. Instead, MEXC relies on third-party institutional liquidity providers to support trading and execution.

Vugar Usi Zade, MEXCs CEO
Vugar Usi Zade, MEXCs CEO

The pricing model also differs from that used by most prediction market platforms. According to MEXC, Combo operates through an independent request-for-quote (RFQ) mechanism rather than relying on order book-based supply and demand.

While pricing is informed by the probabilities implied by the underlying prediction markets, MEXC said the final quote also takes into account factors such as portfolio risk across multiple events and available liquidity.

“Traditional prediction market platforms are primarily priced through order book-based supply and demand,” Usi said. “In contrast, Combo allows users to combine multiple event outcomes into a single package and relies on institutional quotation mechanisms.”

MEXC did not disclose the identities of the liquidity providers supporting the product, describing them only as professional quantitative trading and liquidity institutions responsible for pricing and market-making functions within the prediction market ecosystem.

MEXC has launched Combo, a new prediction market product that allows users to combine up to 20 event outcomes into a single position.

Unlike traditional prediction market contracts that rely on order-book pricing, Combo uses quotes provided by institutional liquidity partners, introducing an RFQ-style model for multi-event prediction trading.

MEXC Brings Multi-Event Trading to Prediction Markets

Available initially for sports and selected cryptocurrency markets, the product lets traders build a single contract around multiple events rather than opening separate positions for each prediction.

For example, a user could combine a prediction on a World Cup match outcome with a cryptocurrency price target and settle both within the same trade.

The trade pays out only if all selected predictions prove correct, while a single incorrect outcome results in no payout. Most prediction market platforms today focus on individual event contracts.

Combo allows users to combine multiple outcomes across sports and crypto markets into a single position, giving traders a way to express broader views across multiple events and asset classes.

The exchange entered the sector with a zero-fee prediction market platform, joining a growing number of trading venues seeking to compete with specialised operators such as Kalshi and Polymarket.

Institutional Liquidity Providers Power the Pricing Model

Unlike traditional prediction markets, Combo positions are not matched directly between retail users. Instead, MEXC relies on third-party institutional liquidity providers to support trading and execution.

Vugar Usi Zade, MEXCs CEO
Vugar Usi Zade, MEXCs CEO

The pricing model also differs from that used by most prediction market platforms. According to MEXC, Combo operates through an independent request-for-quote (RFQ) mechanism rather than relying on order book-based supply and demand.

While pricing is informed by the probabilities implied by the underlying prediction markets, MEXC said the final quote also takes into account factors such as portfolio risk across multiple events and available liquidity.

“Traditional prediction market platforms are primarily priced through order book-based supply and demand,” Usi said. “In contrast, Combo allows users to combine multiple event outcomes into a single package and relies on institutional quotation mechanisms.”

MEXC did not disclose the identities of the liquidity providers supporting the product, describing them only as professional quantitative trading and liquidity institutions responsible for pricing and market-making functions within the prediction market ecosystem.

About the Author: Tanya Chepkova
Tanya Chepkova
  • 234 Articles
About the Author: Tanya Chepkova
Tanya Chepkova is a News Editor at Finance Magnates with more than 16 years of experience in financial journalism, covering forex, crypto, and digital asset markets. Her work spans daily industry reporting and data-driven, long-form explainers focused on market structure, trading models, and regulatory shifts. Before joining Finance Magnates, she led the editorial team of a cryptocurrency-focused media outlet for six years. Her reporting combines analytical depth with clear storytelling, with particular attention to how structural changes in trading, stablecoin infrastructure, and emerging products such as prediction markets reshape the broader financial ecosystem. She covers global developments and provides additional insight into CIS markets. Areas of Coverage: Crypto and digital asset markets Prediction markets Stablecoins and cross-border payments Industry analysis and long-form explainers
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