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 | PD | ULTJ | 0.02 | 2.7% | 1.05 | 0.99 | 46.7% | 2.78 | 3.90 B | 0.35 B | 4.25 B | 160.09 B | — | -0.004 | 0.03 | 25 | 52.6% | 630 | 630 | 23d | LOCAL | Sep 07 | |
| 2 | KI | ULTJ | 0.01 | 5.7% | 0.26 | 1.00 | 49.4% | 6.82 | 1.04 B | 0.00 B | 1.04 B | 18.30 B | — | 0.003 | 0.05 | 26 | 53.4% | 475 | 260 | 12d | LOCAL | Sep 07 | |
| 3 | XL | ULTJ | 0.01 | 1.8% | 0.71 | 0.76 | 43.6% | 1.98 | 2.76 B | 0.87 B | 3.63 B | 198.37 B | — | 0.002 | -0.04 | 25 | 51.6% | 631 | 631 | 38d | LOCAL | Sep 07 | |
| 4 | GR | ULTJ | 0.01 | 3.3% | 0.29 | 1.00 | 54.5% | 5.13 | 1.29 B | 0.08 B | 1.37 B | 41.23 B | — | 0.009 | -0.06 | 27 | 56.2% | 589 | 479 | 10d | LOCAL | Sep 07 | |
| 5 | AT | ULTJ | 0.01 | 5.5% | 0.22 | 1.00 | 45.6% | 10.00 | 1.08 B | 0.01 B | 1.08 B | 19.66 B | — | 0.002 | 0.04 | 27 | 51.5% | 550 | 443 | 8d | 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