
If you’ve spent any time on Kenyan social media lately, you’ve likely seen the heated debates over the Majembe vs. Mbavu Destroyer bout. While some are just arguing, others are using prediction markets to analyze the probabilities of the event.
But what exactly are prediction markets, and how do you get started?
At its core, a prediction market is a platform where people trade "contracts" based on the outcome of future events. Think of it as a stock market, but instead of buying shares in a company, you’re buying shares in a "Yes" or "No" outcome of a real-world event.

There are two main ways to trade:
How Multi-Asset Markets Actually Increase Your Chances
In a Multi-Asset market, "Hedging" is a risk-management technique used to limit potential losses. Because each outcome is a separate contract, a trader can hold positions in multiple outcomes at once.
Contracts are priced as cents
The Strategy: If you buy 10 Yes contracts of Mbavu at $0.60, and he wins, your contracts are now worth $1.00 each, totaling $10.00.
If he loses, the contracts go to zero. The "volatility" (how much the price moves) depends on market demand which is influenced by the news—like a video of Mbavu training with a professional coach—which might drive his "Yes" price from $0.60 to $0.80 as more people buy Yes contracts.
No. While they feel similar, the regulatory world views them differently:
In Kenya, the Virtual Asset Service Providers (VASP) Act of 2025 has brought these platforms under the supervision of the Capital Markets Authority, offering a transparent, data-driven alternative to traditional betting.

Disclosures:
This blog is provided for informational and educational purposes only and does not constitute financial, investment, or legal advice.
Prediction markets involve significant risk, and prices can be highly volatile.
Past performance or "market accuracy" is not a guarantee of future results.
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Hedging allows you to stay in the market longer or minimise losses if your stop loss is hit. It effectively turns a binary loss into a managed risk.
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