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 | BR | ASRI | 0.08 | 19.2% | 0.44 | 1.00 | 63.3% | 10.00 | 2.77 B | 0.23 B | 3.01 B | 15.66 B | — | 0.004 | 0.01 | 25 | 58.9% | 200 | 91 | 238d | LOCAL | Sep 04 | |
| 2 | GR | ASRI | 0.05 | 5.4% | 0.97 | 1.00 | 40.1% | 4.05 | 10.40 B | -3.51 B | 6.89 B | 126.93 B | — | -0.006 | 0.00 | 24 | 57.4% | 627 | 564 | 6d | LOCAL | Sep 07 | |
| 3 | RF | ASRI | 0.04 | 9.9% | 0.49 | 1.00 | 60.7% | 10.00 | 1.72 B | -0.12 B | 1.60 B | 16.14 B | — | -0.052 | -0.00 | 23 | 45.2% | 146 | 84 | 103d | LOCAL | Feb 20 | |
| 4 | FZ | ASRI | 0.03 | 13.4% | 0.24 | 1.00 | 59.1% | 8.66 | 2.24 B | -0.08 B | 2.16 B | 16.08 B | — | -0.022 | -0.10 | 18 | 47.0% | 229 | 149 | 31d | LOCAL | Aug 21 | |
| 5 | CP | ASRI | 0.00 | 0.8% | 0.36 | 0.94 | 29.7% | 1.26 | 1.09 B | -0.00 B | 1.08 B | 132.20 B | — | 0.012 | -0.09 | 23 | 52.5% | 614 | 576 | 39d | 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