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 | PD | PGUN | 0.03 | 62.3% | 0.07 | 1.00 | 39.1% | 10.00 | 5.74 B | -0.00 B | 5.74 B | 9.20 B | — | 0.091 | 0.05 | 23 | 51.0% | 375 | 279 | 22d | LOCAL | Sep 07 | |
| 2 | CP | PGUN | 0.02 | 19.9% | 0.15 | 1.00 | 37.2% | 2.90 | 3.62 B | -0.02 B | 3.60 B | 18.15 B | — | 0.296 | 0.14 | 22 | 56.4% | 186 | 148 | 9d | FOREIGN | Sep 04 | |
| 3 | BQ | PGUN | 0.01 | 68.3% | 0.03 | 1.00 | 43.8% | 8.24 | 1.39 B | -0.00 B | 1.39 B | 2.04 B | — | -0.132 | 0.07 | 27 | 57.9% | 210 | 160 | 99d | FOREIGN | Sep 07 | |
| 4 | CC | PGUN | 0.00 | 3.8% | 0.08 | 1.00 | 33.2% | 1.62 | 1.02 B | -0.00 B | 1.01 B | 26.97 B | — | -0.074 | 0.03 | 23 | 54.8% | 445 | 358 | 18d | 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