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 | GR | DCII | 0.02 | 35.9% | 0.06 | 1.00 | 79.0% | 10.00 | 1.52 B | 0.01 B | 1.53 B | 4.26 B | — | 0.032 | 0.27 | 24 | 44.8% | 150 | 81 | 867d | LOCAL | Sep 02 | |
| 2 | YP | DCII | 0.01 | 14.8% | 0.16 | 1.00 | 36.9% | 10.00 | 4.55 B | 0.00 B | 4.55 B | 30.67 B | — | -0.001 | 0.05 | 23 | 43.2% | 377 | 265 | 12d | FOREIGN | Sep 07 | |
| 3 | CP | DCII | 0.01 | 9.1% | 0.14 | 1.00 | 61.4% | 4.32 | 1.79 B | -0.03 B | 1.75 B | 19.26 B | — | 0.037 | 0.12 | 24 | 41.4% | 109 | 83 | 45d | FOREIGN | Sep 03 | |
| 4 | MG | DCII | 0.01 | 12.9% | 0.12 | 1.00 | 57.9% | 5.01 | 1.19 B | -0.09 B | 1.10 B | 8.55 B | — | 0.059 | 0.21 | 14 | 31.3% | 78 | 57 | 6d | LOCAL | Aug 10 | |
| 5 | CC | DCII | 0.01 | 9.6% | 0.14 | 1.00 | 30.4% | 2.79 | 3.29 B | -0.29 B | 3.00 B | 31.18 B | — | 0.052 | 0.04 | 24 | 47.1% | 479 | 363 | 35d | 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