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 | EP | GJTL | 0.03 | 5.1% | 0.73 | 1.00 | 50.8% | 4.91 | 4.74 B | 1.19 B | 5.93 B | 116.98 B | — | 0.010 | -0.05 | 32 | 54.1% | 627 | 602 | 19d | LOCAL | Sep 07 | |
| 2 | GR | GJTL | 0.03 | 4.8% | 1.04 | 1.00 | 41.7% | 1.68 | 3.33 B | 5.92 B | 9.25 B | 191.88 B | — | -0.000 | -0.07 | 35 | 53.9% | 629 | 606 | 7d | LOCAL | Sep 07 | |
| 3 | TP | GJTL | 0.02 | 6.2% | 0.53 | 1.00 | 48.7% | 1.96 | 1.29 B | 3.17 B | 4.47 B | 71.79 B | — | 0.002 | 0.02 | 33 | 52.1% | 601 | 460 | 15d | FOREIGN | Sep 04 | |
| 4 | KK | GJTL | 0.01 | 1.0% | 1.20 | 0.96 | 45.1% | 1.25 | 1.61 B | 1.32 B | 2.93 B | 279.54 B | — | 0.000 | -0.04 | 33 | 51.9% | 630 | 625 | 18d | FOREIGN | Sep 07 | |
| 5 | CC | GJTL | 0.01 | 1.4% | 1.32 | 0.38 | 52.9% | 1.88 | 4.90 B | 1.48 B | 6.37 B | 468.37 B | — | 0.005 | 0.06 | 32 | 53.7% | 630 | 630 | 3d | LOCAL | Sep 07 | |
| 6 | XL | GJTL | 0.00 | 2.4% | 1.02 | 0.23 | 43.7% | 1.81 | 4.68 B | 2.27 B | 6.95 B | 294.84 B | — | 0.001 | -0.01 | 34 | 54.5% | 631 | 631 | 6d | 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