# Three synthetic audit cases

Generated by `python examples/run_audit_cases.py`. Synthetic demonstration only.
All data are generated locally. No market forecasts, private results or orders.

| Noise selection | Value |
|---|---:|
| Variants / declared trials | 64 / 64 |
| Best full-sample annualized Sharpe | 1.2402 |
| Expected maximum Sharpe under the approximation | 1.1944 |
| DSR statistic (not probability of profitability) | 0.531984 |
| CSCV/PBO | 0.5857 |
| Hindsight selection on final 252 rows, bps/day | 14.381803 |
| Train-only selection on the SAME 252 rows, bps/day | 6.892377 |

## Disclosure timing

Incorrect alignment changes **26** of 50 rows.
The new value first appears on **2020-02-17**;
its restatement first appears on **2020-03-04**.
These are synthetic weekdays, not exchange-calendar claims.

## Price basis

Maximum archive-proxy / raw-cash-price ratio: **5.022545x**.
Changed ranks: **4 / 4**, on identical symbols.
Wrong order: TOY_B, TOY_A, TOY_D, TOY_C.
Consistent-basis order: TOY_A, TOY_B, TOY_C, TOY_D.
The preserved field is an **OHLC4 proxy, not transaction VWAP**.

## What these checks do not establish

- **A high Sharpe can come from selecting noise**: DSR is an approximate evidence statistic, not a posterior probability of profitability. CSCV is not chronological forward validation. No costs, execution or real-market structure are modeled in this IID teaching fixture.

- **A reporting period is not an availability date**: The example audits availability, not return prediction. Real studies also need exchange calendars, timestamps and historical vendor vintages; an aligner cannot reconstruct revisions that a vendor discarded.

- **Mixing price bases can change a cross-sectional rank**: OHLC4 is not transaction VWAP, and basis consistency is not predictive power. This explicit-metadata fixture cannot certify arbitrary vendor data. The adapter is demonstration-only and does not change the discovery input loader.