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 | PO | CASA | 2.26 | 75.1% | 1.76 | 1.00 | 45.2% | 10.00 | 31.73 B | 73.15 B | 104.88 B | 139.62 B | — | 0.007 | 0.09 | 38 | 59.4% | 389 | 186 | 918d | LOCAL | Jul 08 | |
| 2 | AK | CASA | 0.03 | 8.6% | 0.44 | 1.00 | 58.9% | 8.84 | 2.87 B | 0.00 B | 2.87 B | 33.20 B | — | 0.026 | 0.14 | 41 | 52.8% | 561 | 384 | 9d | FOREIGN | Sep 07 | |
| 3 | BK | CASA | 0.03 | 11.7% | 0.34 | 1.00 | 77.0% | 6.53 | 1.07 B | 1.21 B | 2.28 B | 19.47 B | — | 0.005 | 0.17 | 45 | 56.0% | 447 | 348 | 979d | FOREIGN | Sep 07 | |
| 4 | CC | CASA | 0.01 | 4.0% | 0.33 | 1.00 | 60.9% | 4.36 | 1.85 B | 0.00 B | 1.85 B | 46.33 B | — | 0.009 | 0.20 | 38 | 47.4% | 588 | 457 | 4d | 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