Forecast the rate. Build a track record.

1. Step 1Find a marketA currency pair and a horizon — end of week, quarter, or year.
2. Step 2Make your callEnter the rate you expect; update it as often as you like until the market closes.
3. Step 3Build a track recordWhen it resolves against the Noble FX Fix, you're scored on accuracy; sharp forecasters climb the leaderboard and carry more weight in the consensus.

The science

Two decades of forecasting research point to the same conclusion: a well-run crowd, weighted toward its most accurate members, beats almost everyone in it, including the experts.

The starting point is old. In 1906 the statistician Francis Galton found that the average of 787 fairground guesses at an ox's weight landed within a pound of the true figure, closer than any individual guess and closer than the cattle experts present.¹ The modern version, the "wisdom of crowds," holds that an aggregate of many independent estimates is often more accurate than the people making them.² The catch is in the word independent: crowds are wise when their members think for themselves, and far less so when they herd toward a common view.

The second finding is what makes a forecast market more than a poll. In the Good Judgment Project, a multi-year forecasting tournament run for the U.S. intelligence community, Philip Tetlock and colleagues showed that a small, identifiable group of ordinary people, the "superforecasters," consistently outpredicted others and, in some tests, professional analysts with access to classified information.³ Two traits set them apart. They updated their forecasts often as new information arrived, and, the part that matters most here, their past accuracy predicted their future accuracy. Skill in forecasting is real, persistent, and measurable by track record.

Noble Xenon is built on the join of those two ideas. The consensus is a crowd aggregate, but not a naïve average. Each forecaster's influence is weighted by their demonstrated accuracy over time, so the view leans toward the people the record shows are worth listening to, and the herd-driven failure mode of a plain average is dampened. That is also why the consensus is shown as a range of disagreement rather than a single confident prediction: a crowd can cluster tightly and still be wrong, and saying so is more honest than hiding it.

¹ Galton, F. (1907), "Vox Populi," Nature. ² Surowiecki, J. (2004), The Wisdom of Crowds. ³ Tetlock, P. & Gardner, D. (2015), Superforecasting: The Art and Science of Prediction; Good Judgment Project.