AI · SG REITs — Track record
Every elapsed decision is graded against what prices actually did — hit-rates and errors per signal family, plus the cost of the decisions this book chose not to take.
Scorecard
Hit-rates per signal family.
| Signal family | Dir | n | Hit 1W | Hit 4W | Hit 12W | Med err 1W | Stop-first | Bias | Status |
|---|---|---|---|---|---|---|---|---|---|
| FailedBreakout_Down_20D | sell | 24 | 63% | 100% | — | — | 0% | +2 | ● active |
| RallySell_BearTrend | sell | 8 | 75% | 100% | — | — | 0% | +5 | ● active |
| NoTrade | sell | 4 | 75% | 100% | — | — | 0% | 0 | ○ building sample (4/5) |
| BreakdownDown_52W | sell | 2 | 50% | 100% | — | — | 0% | 0 | ○ building sample (2/5) |
| PullbackBuy_VWAP | buy | 1 | 0% | 0% | — | -11.6% | 100% | 0 | ○ building sample (1/5) |
Counterfactuals Counterfactuals grade decisions that were NOT executed — expired queues, no-chase rules, untaken optional trims — against what the market then did. They are kept strictly separate from the calibration cells above.
What the decisions we didn't take would have done.
- Optional trims not taken — 73 cases , median would-have 1W move -6.9% → verdict: cost
- No-chase queue (queued a pullback instead of chasing) — 2 cases , median would-have 1W move -8.4% → verdict: saved
Counterfactuals are advisory evidence for the book's learnings reviews — never blended into the calibration cells.