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
6
matching current filters
Showing
6
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 | AP | NATO | 1198.63 | 506.5% | 92.22 | 1.00 | 40.0% | 6.56 | 86.74 B | 4949.67 B | 5036.41 B | 994.45 B | — | -0.097 | 0.42 | 4 | 7.9% | 28 | 5 | 905d | LOCAL | Jun 25 | |
| 2 | TP | NATO | 0.06 | 50.5% | 0.23 | 1.00 | 27.1% | 10.00 | 6.32 B | 0.00 B | 6.32 B | 12.51 B | — | 0.043 | 0.08 | 24 | 58.1% | 176 | 70 | 2d | FOREIGN | Sep 02 | |
| 3 | AK | NATO | 0.04 | 23.6% | 0.27 | 1.00 | 37.8% | 4.57 | 4.23 B | 0.00 B | 4.24 B | 17.96 B | — | 0.114 | 0.04 | 20 | 51.9% | 358 | 336 | 16d | FOREIGN | Sep 04 | |
| 4 | BK | NATO | 0.03 | 37.6% | 0.18 | 1.00 | 24.7% | 10.00 | 5.56 B | 0.00 B | 5.56 B | 14.78 B | — | -0.100 | -0.02 | 3 | 8.7% | 440 | 434 | 13d | FOREIGN | Sep 03 | |
| 5 | XL | NATO | 0.01 | 12.2% | 0.09 | 0.98 | 32.3% | 4.62 | 4.63 B | 0.78 B | 5.41 B | 44.23 B | — | 0.016 | 0.19 | 27 | 58.3% | 499 | 440 | 381d | LOCAL | Sep 04 | |
| 6 | PD | NATO | 0.00 | 22.3% | 0.04 | 1.00 | 37.2% | 10.00 | 1.19 B | 0.05 B | 1.23 B | 5.54 B | — | 0.042 | 0.29 | 31 | 62.8% | 433 | 333 | 29d | LOCAL | Sep 04 |
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