デジタルグリッド (350A.T) quant model fit
Median hit rate and return when a model selected デジタルグリッド (350A.T). Model: ml-factor-lgbm-9f-jp-growth. Model–stock fit, not a buy signal.
Median LONG hit rate is 0.53 (n=12). near a coin flip.Median LONG return is -2.5 bps.
Model predictability decomposition: measures how accurately the ml-factor-lgbm-9f-jp-growth model family predicts this stock's returns within the jp-listed universe. High hit_rate_long does NOT mean 'good stock to buy' -- it means 'the model historically predicted this stock well when selecting it LONG'. This is a property of model-stock fit, not intrinsic stock quality.
Accuracy (median across grid)
| metric | median | p25 – p75 | n |
|---|---|---|---|
| Hit rate · LONG | 0.5288 | 0.4495 – 0.6231 | 12 |
| Hit rate · SHORT | 0.7791 | 0.6773 – 0.8429 | 12 |
| Avg return · LONG (bps) | -2.5142 | -41.3 – 82.8 | 12 |
| Avg return · SHORT (bps) | 120.9 | 79.5 – 249.3 | 12 |
| Selection rate · LONG | 0.0039 | 0.0024 – 0.0068 | 12 |
| Selection rate · SHORT | 0.0013 | 0.0008 – 0.0028 | 12 |
Hit rate ≈ 0.5 means the model's picks on this stock were near coin-flip. Returns in bps per trade (1 bps = 0.01%). Metrics with n = 0 are omitted.
PnL contribution
Selected LONG 1067 / SHORT 487 times out of 237,504 appearances (0.449% LONG).
sum of per-trade decimal returns across all grid combos and retrain periods (0.01 = one trade returning 1%)