Luno, an Africa-founded global exchange, has launched a structured Crypto Prediction Market, ushering in a new chapter for Nigeria's cryptocurrency market.
This platform enables users to forecast short-term price fluctuations of key cryptocurrencies, such as Bitcoin , Ethereum , Solana, Dogecoin, Ripple, and earn USDC payments when when their predictions are accurate.
Powered by Limitless, the platform rewards right forecasts with USDC, a fully supported stablecoin.
This launch reflects shifting investment trends in Africa's largest cryptocurrency market. Previously focused on long-term holding or spot trading, retail traders are now looking for tools that allow them to act on market information in a structured, short-term framework.
“We are seeing a clear shift in how Nigerians want to engage with crypto assets,” said Ayotunde Alabi, CEO of Luno Nigeria.
“Many already follow price movements closely and form strong market views; we want to lead with education as well as provide a safe and secure platform to help them apply that knowledge. This feature is designed to be a natural extension for those who enjoy forecasting.”
To mitigate risks, the platform integrates educational resources, dedicated prediction wallets, mandatory risk acknowledgements, and mechanisms preventing users from taking both sides of a market.
Unlike conventional derivatives or open-ended speculation, binary prediction markets are strictly outcome-based. Participants wager on whether an asset will close above or below a specific price target.
While this opens opportunities, it also carries high risk, as incorrect predictions result in total loss of the committed capital.
The launch could influence broader trends in African fintech. By introducing regulated, outcome-based products, exchanges can cater to a more informed investor base while promoting financial literacy.
For Nigeria, this could mark a turning point moving the market from passive participation to data-driven trading, providing a framework for responsible engagement in increasingly complex digital asset markets.
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