Fortell

Transparency

Every dollar, live from the chain. No backend, no trust - decoded straight from program accounts.

The venue we trade

Every seat size, position cap and risk rule above is calibrated against this one venue's liquidity. These are its numbers, and when each was last measured.

We publish our pass rate. In our own simulation, a trader with no edge at all who plays the rules perfectly and stops the moment every criterion is met passes 10.3% of the time. The same trader trading blind passes 0.04%. That is a ceiling on what luck alone can reach, not a forecast that one buyer in ten passes. That is 25,000 simulated 14-day challenges behind each of those two figures, measured 2026-08-24 on the tier we sell against the rails that ship, on 1d buckets, the clock a real fourteen-day challenge is graded on. It is the rate under those rules on that clock and nothing wider: when a rail moves, the figure is measured again rather than carried forward. The first figure is the best play a search over strategies found, so it carries the width of that search: run it again and it has landed as much as 0.9 points away. Read it as a band rather than a point, and treat any gap smaller than that as our instrument rather than our rules. It is a lower bound on a maximum, so more searching can only move it up. The rate from real decided challenges is in the protocol accounting figures above, where it says “not yet” until challenges have actually been decided.