Your strategy did not clear the gate. At this sample size, and after accounting for the number of variants tried, its measured edge is not reliably distinguishable from selection luck. This is the outcome for most strategies we audit, including our own fund's. Learning it now, for the price of an audit, is far cheaper than learning it with live capital.
Your reading: 0.3869 (gate: 0.95)
After accounting for how many variants were tried and the noise in a Sharpe measured over this many observations, your advantage is not distinguishable from luck at the 95% confidence floor we require.
Your reading: 0.6143 (gate: 0.50)
Across many in-sample and out-of-sample splits, the configuration you submitted often loses its lead. That is a sign the in-sample ranking is driven by the particular split rather than a durable edge.
Not computed. This needs a baseline series to compare against out of sample.
At 90 observations, the smallest edge this gate could certify at all is about +6.44 of incremental Sharpe. Your observed uplift of +2.890 is below that floor, so this sample cannot separate it from noise however the other gates read.
The floor is set by how many observations you supplied, not by your strategy. More history lowers it. A short sample cannot prove a small edge no matter how clean the numbers look.
| Observations | 90 (periods per year: 252) |
| Candidate Sharpe | 2.890 |
| Baseline Sharpe | 0.000 (zero skill null, no baseline supplied) |
| Uplift over baseline | +2.890 |
| Selection luck haircut (E max of 40 trials) | +3.391 |
| Deflated uplift | -0.500 |
| Incremental DSR (confidence the edge beats baseline plus luck) | 0.387 |
| Probability true Sharpe is above 0 | 0.952 |
| Sharpe standard error | ±1.741 |
| PBO (probability of backtest overfitting) | 0.61 |
These are the raw statistics the gate ran on your data. The verdict above is a mechanical function of them at pre-registered thresholds, not a judgment call.