In general looking for a use case to a Monte Carlo solution I wrote. My hypothesis is crypto and prediction market tooling is not yet mature and there is a market for financial quant analytics with adaptations. In the case of prediction markets, would it be helpful to see the world under consistent joint distribution? For example as a way to see relative value, quantify and aggregate exposures? My tool could provide tail risk for these questions.

I can understand there not being demand today, but it might still be useful as these markets make their way into cross asset portfolios where they will need to be seen under the traditional portfolio analytics lense.

Am I wrong about this? or any other uses I am not seeing>?

thank you!!