Your backtest looks convincing.
What did it overlook?
Counterphase audits how research models were tested—what they knew at the time, which outcomes went missing, and whether their decisions relied on data they were never meant to use.
Try this small, constructed experiment: a model trains on four outcomes. Remove one of the sixteen it didn't choose. Should that change the model's decision?
Try the real audit2 BLOCKS · 2 SELECTED PER BLOCK
If a model changes its decision when we remove data it claims not to use, its research process has a problem worth investigating.
The screen above teaches the idea. The reports below come from a separate, locally tested Python audit—not a live fund or a return backtest.The examples are synthetic. Passing a set of tests does not prove that a model never leaked information. These reports cannot independently certify customer timestamps, trading performance, or compliance. The current local runner is for trusted, customer-approved Python code; it does not safely isolate arbitrary programs.
Don't take our word for it.
Test your own records.
Bring a binary forecast ledger and its expected opportunity schedule. Counterphase will count every expected slot, challenge your model against a fixed rival, and expose how unknown outcomes can change the conclusion.
No live market connection.
Load the synthetic example to see the instrument, or select your own two local files. Neither is uploaded.
Sign bounds are mathematical sensitivity limits. They do not establish that forecasts were actually frozen before outcomes or that a model works prospectively.
Bring one research result.
Let us challenge it.
NO TRADING
NO LIVE CONNECTION
If your team tests quantitative models or automated research strategies, we can help examine one result you are considering trusting. Run the tools in your own environment, keep proprietary data under your control, and independently reproduce any reported failure.
Pilot inquiries are open by email. Please describe your research question without including confidential forecasts, strategy code, or account information.