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
4
matching current filters
Showing
4
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 | GR | BBNI | 0.15 | 0.9% | 15.99 | 1.00 | 46.8% | 1.16 | 8.70 B | 12.12 B | 20.82 B | 2279.19 B | — | 0.003 | -0.05 | 25 | 51.6% | 630 | 630 | 12d | LOCAL | Sep 07 | |
| 2 | SS | BBNI | 0.05 | 1.4% | 4.71 | 1.00 | 51.0% | 2.09 | 2.93 B | 2.77 B | 5.70 B | 404.34 B | — | 0.005 | -0.08 | 24 | 52.9% | 330 | 149 | 89d | LOCAL | Sep 04 | |
| 3 | BQ | BBNI | 0.03 | 0.9% | 4.36 | 0.99 | 48.0% | 1.41 | 5.73 B | 1.90 B | 7.63 B | 839.21 B | — | -0.003 | -0.06 | 24 | 48.3% | 631 | 627 | 8d | FOREIGN | Sep 07 | |
| 4 | LS | BBNI | 0.01 | 1.4% | 1.06 | 1.00 | 52.1% | 1.90 | 2.20 B | 0.02 B | 2.22 B | 162.16 B | — | 0.006 | -0.04 | 26 | 53.0% | 621 | 530 | 4d | FOREIGN | 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