A proprietary trading firm in prediction markets.

We trade event contracts on our own account, and we read the same markets for the institutions exposed to the outcomes they price.

What we do
ITrading

Every view we sell is one we have already taken with our own capital.

MARPON Capital trades prediction markets and other event-driven markets on its own account. Systematic and discretionary strategies run on the same capital, from market making and latency-sensitive execution through to positions built on macro, corporate and regulatory research.

$16,000,000+Annual traded volume
ASKSMIDBIDSRESTING SIZE
IIEvidence

Set against traditional polling, the market has been the better forecast for decades.

Over five US presidential cycles, the Iowa Electronic Markets were closer to the final result than the polls published at the same moment, 74% of the time. On the night before those elections the market missed by 1.33 points on average.

The same pattern holds on the venues trading today. Across roughly 2,200 political markets in the closing weeks of 2024, whenever the price was confident, above 80 cents or below 20, the outcome matched the price 96% of the time.

It is not only elections. When Google and Ford ran prediction markets inside their own companies, those markets beat the firms’ own expert forecasters, cutting forecast error by as much as a quarter.

The reason is money. A forecaster who is wrong loses nothing. A trader who is wrong pays for it, so every point of probability is worth arguing over, and the people arguing hardest are the ones holding a position on the answer.

A price that good is still not a decision, and it is not yet yours.

Berg, Nelson and Rietz. Prediction market accuracy in the long run. International Journal of Forecasting 24(2), 2008.
Clinton and Huang. Prediction Markets? The Accuracy and Efficiency of Political Prediction Markets in the 2024 Presidential Election. 2026.
Cowgill and Zitzewitz. Corporate Prediction Markets: Evidence from Google, Ford, and Firm X. Review of Economic Studies 82(4), 2015.
MARKET PRICEOUTCOME RATE
IIIResearch and data

We adjust the quoted price and set it against the exposure you carry.

The screen price is an input, not an answer. Proprietary adjustment models recalibrate it and reduce forecast error against the raw quote, and every contract is read for what it actually settles on, since the wording can make a price mean something quite different from the risk in front of you.

Probability and exposure
A calibrated probability for the outcome you are exposed to, and the figure it implies for the amount at risk.
Monitoring
Continuous coverage, with an attributed cause and a magnitude for every material move.
Analysis
Written work on your exposure, set against your own sources.
Data and integration
The underlying market data as a feed, delivered into the dashboards, terminals and systems your analysts already use.
New markets
Where no contract covers the event, we put the case to a venue for listing.
Delivery
Under your own name, or under none.
QUOTED12%ADJUSTED7 to 11%05101520IMPLIED PROBABILITY, PER CENT
IVMandates

Built for the institutions that price event risk, and for those that carry it.

Insurance underwriters
Pricing risks whose outcome turns on a public event.
Defence and intelligence
Open-source indications and warning on escalation, conflict onset and sanctions, set against existing collection.
Funds and trading desks
An independent read on the events their positions depend on.
Corporate risk and treasury
Exposures that turn on decisions the company does not control.
Newsrooms
Reporting a probability with the reasoning behind it.
VEnquiries

Nothing on this site is an offer or invitation to invest.