Leverage in the Predictions Market.

What is the Prediction Market?

Prediction markets are event contracts that let you buy a share of the outcome of an event. Platforms like Polymarket and Kalshi allow traders to buy and sell event outcome contracts, with the companies collecting fees on each trade. While these markets have proven the thesis that people want to put capital behind their beliefs about the future, they lack many tools available in mature traditional financial markets. Chief among these missing tools is leverage.

What is the impact of Leverage in trading?

Leverage can be described as a loan (margin) that allows a trader to allocate more capital to a trading position in a bid to make a huge profit on the position, and a quiet acceptance of the probability of a loss. For example, a 10x leverage on a $100 trading position means, a trader has a $1000 position on the trade, 10xing their potential rewards. This has been a difficult tool to offer traders in the predictions market.

Why has it been difficult to provide Leverage in Predictions market?

Leverage is a tricky concept in prediction markets due to gap risk-

the risk that a financial instrument's price would dramatically jump (either up or down) from one trade to the next without any trading in between.

Prediction markets have three unique characteristics that make them fundamentally different from traditional assets:

There is a clear upper limit.

The maximum value of a "YES" or “No” share is always $1. If you buy at $0.7, the maximum upside is only 42.85%.

The lower limit is zero.

The trader’s position doesn't decay slowly over time. It either succeeds or goes to zero.

Binary Outcomes.

There is no gradual price discovery process. A sports match might be undecided one moment and be definitely resolved in the next hour. The price doesn't slowly rise, it jumps there.

This is fundamentally different from traditional assets like Bitcoin. A move from $100,000 to $70,000 is marked by stops and pauses. E.g $100K to $92K, back to $95k, $80k, then $70K, making it possible for the liquidation engine to intervene and close your position.

In prediction markets, this gradual process doesn't exist. The nature of the market makes it difficult for leverage providers to handle mass liquidation events because they can't exit trades at favorable prices before events resolve.

Who is actively solving this problem?

The team at Ultramarkets is building a leverage layer for prediction markets. They are solving the gap risk problem through temporal arbitrage. Ultramarkets force all leveraged trades to close before the actual event happens. Traders can still make money from price changes as news comes in and people's opinions shift. But everyone must exit their positions before the event is decided. This way, traders avoid the dangerous moment when the price suddenly jumps to $1 or $0.

Ultramarkets can implement this solution because they operate as a separate layer rather than being built into the prediction market platforms themselves. If Polymarket or Kalshi tried to add leverage directly, they'd face a difficult choice: either keep positions open until events resolve (risking major losses) or close positions early (which would upset traders and create an inconsistent user experience). As an independent leverage provider, Ultramarkets sidesteps this problem entirely: their whole business model is built around closing positions before resolution.

The platform is deliberately choosy about which markets get leverage, and this selectivity is actually a strength. They only support markets with strong liquidity, providing them with enough time before resolution to manage risk properly. Since prediction markets follow a pattern where a small number of popular markets attract most of the trading activity, focusing on these high-volume markets means they're still capturing the majority of demand.

If this approach proves successful at scale, Ultramarkets could become a breakout success in the prediction market ecosystem, unlocking a unicorn level of success.