Smart Money · per-pair browser · obs Sep 07
Every (broker × ticker) Smart Money score
Each row is one (broker, ticker) pair scored at the latest obs_date.
sm_score = total_roi × materiality × directional_score × win_rate_cycles.
Click a column header to sort. Filters narrow the row set; sorting still works on the visible rows.
Pairs Scored
5
matching current filters
Showing
5
capped at 1000
Gates
PASSED
lifetime ∈ (1d, 365d) · ≥1B IDR buy · roi ≥ 0
Scope
All
broker geography
| # | Broker | Ticker | sm_score | total_roi | materiality | directional | win_rate | profit_factor | realized (B) | unrealized (B) | total P&L (B) | total_idr_buy (B) | role | buy_share | edge_20d | lead_lag_20d | days→peak | entry_pct | n_events | n_sells | lifetime | scope | last_event |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | YU | SHIP | 0.07 | 26.6% | 0.20 | 1.00 | 73.8% | 10.00 | 6.08 B | -0.71 B | 5.37 B | 20.18 B | — | -0.047 | 0.06 | 22 | 50.5% | 262 | 202 | 210d | FOREIGN | Sep 07 | |
| 2 | KK | SHIP | 0.03 | 43.1% | 0.07 | 1.00 | 83.2% | 10.00 | 1.18 B | 2.23 B | 3.42 B | 7.92 B | — | 0.012 | 0.15 | 28 | 52.1% | 265 | 161 | 187d | FOREIGN | Sep 07 | |
| 3 | CP | SHIP | 0.01 | 9.0% | 0.15 | 1.00 | 56.1% | 2.18 | 4.22 B | -1.79 B | 2.43 B | 27.02 B | — | 0.007 | 0.04 | 24 | 45.6% | 393 | 330 | 124d | FOREIGN | Sep 07 | |
| 4 | YP | SHIP | 0.01 | 12.9% | 0.11 | 0.99 | 43.7% | 4.32 | 1.77 B | 0.02 B | 1.79 B | 13.88 B | — | 0.026 | 0.09 | 28 | 59.4% | 508 | 442 | 14d | FOREIGN | Sep 07 | |
| 5 | MG | SHIP | 0.01 | 4.3% | 0.14 | 1.00 | 68.0% | 3.26 | 2.63 B | -2.10 B | 0.53 B | 12.22 B | — | -0.030 | 0.01 | 26 | 48.2% | 175 | 103 | 113d | LOCAL | Sep 07 |
Column legend
- sm_score = total_roi × materiality × directional_score × win_rate_cycles
- total_roi = (realized + unrealized) IDR ÷ total_idr_buy, on Weighted-Avg-Cost basis
- materiality = max(total_idr_buy/1B, mean_nbs_gross × 100) — size component
- directional = sigmoid of
typical_ratio(median |net|/gross over active days) - win_rate = WIN/(WIN+LOSS) at the sell-event level (WAC vs sell price)
- profit_factor = gross_wins ÷ gross_losses (capped at 10)
- edge_20d = peer-relative alpha vs top-20 brokers, 20d window
- lead_lag_20d = Pearson(net flow, t+20d return) — forward-looking timing
- days→peak = trading days from buy event to next 60d peak
- entry_pct = share of (peak − 60d-low) move captured at entry
- buy_share = total_idr_buy ÷ (total_idr_buy + total_idr_sell) over the active window
- scope = LOCAL or FOREIGN per IDX broker directory group