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 | CP | SMMT | 0.03 | 33.6% | 0.13 | 1.00 | 45.0% | 6.39 | 1.93 B | 4.99 B | 6.92 B | 20.59 B | — | 0.041 | 0.05 | 25 | 52.1% | 269 | 220 | 979d | FOREIGN | Sep 07 | |
| 2 | SQ | SMMT | 0.03 | 43.4% | 0.08 | 1.00 | 73.5% | 10.00 | 1.04 B | 3.52 B | 4.56 B | 10.51 B | — | -0.001 | -0.10 | 25 | 61.7% | 379 | 219 | 979d | LOCAL | Sep 07 | |
| 3 | CC | SMMT | 0.02 | 16.6% | 0.13 | 1.00 | 54.8% | 5.82 | 3.23 B | 0.38 B | 3.61 B | 21.79 B | — | 0.020 | 0.00 | 30 | 63.9% | 558 | 496 | 12d | LOCAL | Sep 07 | |
| 4 | PD | SMMT | 0.01 | 11.6% | 0.09 | 1.00 | 46.2% | 6.40 | 1.13 B | 0.05 B | 1.18 B | 10.16 B | — | 0.004 | 0.01 | 29 | 62.6% | 561 | 483 | 71d | LOCAL | Sep 07 | |
| 5 | XC | SMMT | 0.00 | 16.7% | 0.06 | 1.00 | 34.9% | 4.53 | 1.24 B | 0.54 B | 1.78 B | 10.63 B | — | -0.010 | -0.08 | 27 | 60.2% | 599 | 582 | 7d | 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