Smart Money · per-pair browser · obs May 08
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 | AH | DEWA | 0.17 | 61.2% | 0.24 | 1.00 | 76.6% | 59.28 | 3.22 B | -0.06 B | 3.15 B | 5.15 B | BALANCED | 37.4% | 0.005 | 0.04 | 36 | 54.5% | 98 | 47 | 812d | FOREIGN | Apr 23 |
| 2 | AH | BUMI | 0.09 | 24.9% | 0.35 | 1.00 | 69.2% | 5.51 | 2.70 B | 0.11 B | 2.80 B | 11.28 B | BALANCED | 47.3% | -0.100 | 0.20 | 21 | 39.4% | 97 | 52 | 687d | FOREIGN | May 08 |
| 3 | AH | ASPI | 0.03 | 19.2% | 0.17 | 0.99 | 65.1% | 1.00 | 1.95 B | 0.00 B | 1.95 B | 10.15 B | DISTRIBUTOR | 0.0% | 0.000 | 0.00 | 0 | 0.0% | 206 | 169 | 8d | FOREIGN | Sep 30 |
| 4 | AH | DGWG | 0.02 | 12.1% | 0.21 | 1.00 | 75.3% | 3.02 | 1.11 B | -0.01 B | 1.10 B | 9.07 B | BALANCED | 44.4% | 0.005 | -0.07 | 22 | 55.0% | 152 | 73 | 7d | FOREIGN | May 08 |
| 5 | AH | BMRI | 0.02 | 2.3% | 1.19 | 1.00 | 49.3% | 9.72 | 2.76 B | -0.98 B | 1.78 B | 78.84 B | BALANCED | 55.7% | 0.000 | 0.00 | 0 | 0.0% | 144 | 73 | 141d | FOREIGN | Mar 16 |
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