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 | SS | PNLF | 0.16 | 8.9% | 1.34 | 1.00 | 66.4% | 5.05 | 8.05 B | -0.57 B | 7.48 B | 84.24 B | — | -0.024 | 0.02 | 26 | 56.5% | 223 | 116 | 47d | LOCAL | Sep 03 | |
| 2 | CC | PNLF | 0.03 | 1.1% | 3.76 | 0.69 | 33.7% | 1.47 | 18.05 B | -4.66 B | 13.40 B | 1246.44 B | — | 0.005 | -0.12 | 27 | 59.2% | 630 | 630 | 3d | LOCAL | Sep 07 | |
| 3 | AZ | PNLF | 0.01 | 0.5% | 3.01 | 1.00 | 25.7% | 1.40 | 6.99 B | -3.79 B | 3.21 B | 594.75 B | — | 0.005 | -0.04 | 28 | 58.6% | 628 | 620 | 6d | LOCAL | Sep 07 | |
| 4 | AK | PNLF | 0.01 | 0.2% | 5.34 | 0.98 | 45.3% | 1.10 | 1.68 B | 0.05 B | 1.72 B | 812.75 B | — | 0.006 | -0.07 | 28 | 60.1% | 631 | 624 | 8d | FOREIGN | Sep 07 | |
| 5 | GR | PNLF | 0.00 | 0.1% | 3.03 | 0.99 | 34.8% | 2.10 | 20.85 B | -20.12 B | 0.73 B | 675.52 B | — | 0.006 | -0.11 | 27 | 57.8% | 629 | 626 | 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