Suppose a trader expects an energy stock to rise if oil crosses $100 a barrel, Republican election odds climb and the dollar falls against the yen. An app can watch all three markets and buy the stock when the last condition is met. But anyone pricing the stock can see those same moves. By the time the order goes in, the stock may already have risen for exactly those reasons.
The opportunity we see comes before those conditions are met. How likely is oil to cross $100 this month? If it does, how likely are the other two moves to follow within the same window? A forecast of all three happening together gives the trader a view they can revise as evidence comes in, while some or all of the events are still ahead.
We expect the teams with the best forecasting models to win in this market over time. Competitors can build a comparable interface and send orders to the same venues. Consistently judging which events will happen, and when, is the harder problem. That is why we benchmark RSO-F on ForecastBench, where we record probabilities in advance and score them against what actually happens.