When we founded Blank Space, we set out to build a quantitative trading firm from first principles — one that combines rigorous mathematical research with frontier technology to find edge in digital assets and prediction markets.
We deployed our first systematic strategy in 2025. The team was small and the infrastructure was lean, which was the point: it forced us to focus on what actually generates returns — research quality, execution speed, and risk discipline — and to build only what earned its place in the stack.
That discipline shapes how we trade today. Our models target inefficiencies that exist on the timescales the market forgets to price. We execute at scale without paying for the privilege. And we rebuild faster than the microstructure changes around us.
Digital assets and prediction markets are where we've chosen to compete because they reward the firms willing to do the unglamorous work — better data pipelines, tighter loops, sharper risk controls — rather than the ones with the loudest narratives.
We're pursuing one goal across all of it: consistent, uncorrelated returns.
See you in the markets.