AI · HK Tech — 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.
5 graded 0 pending
1W calibration -0.29 How far along the 1-week path a decision typically gets: the fraction of the decided move realized after one week, measured across this book's graded decisions. Feeds a bounded conviction adjustment back into future decisions.
Scorecard
Hit-rates per signal family.
| Signal family | Dir | n | Hit 1W | Hit 4W | Hit 12W | Med err 1W | Stop-first | Bias | Status |
|---|---|---|---|---|---|---|---|---|---|
| PullbackBuy_VWAP | buy | 3 | 100% | 0% | — | -10.4% | 0% | 0 | ○ building sample (3/5) |
| BreakoutUp_20D | buy | 1 | 0% | 0% | — | -1.4% | 0% | 0 | ○ building sample (1/5) |
| BreakoutUp_52W | buy | 1 | 100% | 0% | — | -1.9% | 0% | 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.
- No-chase queue (queued a pullback instead of chasing) — 9 cases , median would-have 1W move -2.9% → verdict: saved
- Optional trims not taken — 30 cases , median would-have 1W move +0.8% → verdict: saved
- Queue expiry (order lapsed unfilled) — 2 cases , median would-have 1W move +5.1% → verdict: cost
Counterfactuals are advisory evidence for the book's learnings reviews — never blended into the calibration cells.