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
17
matching current filters
Showing
17
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 | AN | ANJT | 0.94 | 85.7% | 0.79 | 1.00 | 100.0% | 10.00 | 2.46 B | 0.04 B | 2.51 B | 2.93 B | — | 0.400 | 0.49 | 49 | 78.7% | 13 | 5 | 42d | LOCAL | Jul 24 | |
| 2 | RF | ANJT | 0.56 | 36.2% | 0.84 | 1.00 | 88.9% | 10.00 | 7.99 B | -0.02 B | 7.97 B | 22.00 B | — | 0.160 | 0.43 | 41 | 50.2% | 67 | 36 | 34d | LOCAL | Aug 27 | |
| 3 | BR | ANJT | 0.43 | 113.7% | 0.41 | 1.00 | 55.6% | 10.00 | 4.46 B | 1.09 B | 5.55 B | 4.88 B | — | 0.046 | 0.22 | 42 | 71.8% | 48 | 18 | 188d | LOCAL | Oct 07 | |
| 4 | ZP | ANJT | 0.26 | 34.6% | 0.37 | 1.00 | 89.7% | 10.00 | 10.20 B | 2.01 B | 12.21 B | 35.34 B | — | -0.018 | 0.11 | 32 | 54.4% | 413 | 252 | 7d | FOREIGN | Aug 20 | |
| 5 | DX | ANJT | 0.17 | 56.0% | 0.32 | 1.00 | 52.4% | 10.00 | 5.15 B | 0.00 B | 5.15 B | 9.20 B | — | 0.058 | 0.15 | 30 | 61.3% | 377 | 216 | 79d | LOCAL | Sep 01 | |
| 6 | DH | ANJT | 0.10 | 54.6% | 0.13 | 1.00 | 83.5% | 10.00 | 4.74 B | 5.81 B | 10.55 B | 19.32 B | — | 0.018 | 0.17 | 34 | 56.7% | 479 | 322 | 979d | LOCAL | Sep 07 | |
| 7 | SQ | ANJT | 0.08 | 13.8% | 0.58 | 1.00 | 44.4% | 10.00 | 9.84 B | -0.84 B | 9.01 B | 65.34 B | — | -0.000 | 0.05 | 31 | 53.5% | 604 | 501 | 104d | LOCAL | Sep 07 | |
| 8 | YU | ANJT | 0.06 | 15.9% | 0.36 | 1.00 | 56.2% | 10.00 | 5.22 B | -0.25 B | 4.97 B | 31.29 B | — | 0.042 | 0.21 | 28 | 52.7% | 348 | 195 | 22d | FOREIGN | Sep 07 | |
| 9 | BK | ANJT | 0.05 | 8.7% | 0.67 | 1.00 | 82.4% | 10.00 | 1.22 B | 0.00 B | 1.22 B | 13.99 B | — | 0.087 | 0.10 | 45 | 38.2% | 80 | 34 | 28d | FOREIGN | Sep 01 | |
| 10 | IF | ANJT | 0.05 | 21.0% | 0.21 | 1.00 | 91.8% | 10.00 | 1.61 B | 0.17 B | 1.78 B | 8.47 B | — | 0.016 | 0.03 | 37 | 48.5% | 147 | 73 | 24d | LOCAL | Aug 21 | |
| 11 | GR | ANJT | 0.03 | 22.9% | 0.21 | 1.00 | 43.0% | 10.00 | 4.70 B | -0.02 B | 4.69 B | 20.44 B | — | 0.012 | 0.15 | 31 | 53.4% | 419 | 287 | 10d | LOCAL | Sep 07 | |
| 12 | YJ | ANJT | 0.02 | 6.5% | 0.37 | 1.00 | 50.4% | 10.00 | 4.45 B | -2.44 B | 2.00 B | 30.72 B | — | -0.004 | 0.04 | 31 | 47.1% | 259 | 142 | 266d | LOCAL | Jul 28 | |
| 13 | AK | ANJT | 0.01 | 10.9% | 0.14 | 1.00 | 66.5% | 10.00 | 1.67 B | 0.00 B | 1.67 B | 15.39 B | — | 0.102 | 0.16 | 34 | 53.6% | 366 | 237 | 26d | FOREIGN | Sep 07 | |
| 14 | LG | ANJT | 0.01 | 16.5% | 0.07 | 1.00 | 56.5% | 10.00 | 1.10 B | -0.17 B | 0.93 B | 5.61 B | — | 0.002 | 0.14 | 27 | 48.8% | 361 | 215 | 8d | LOCAL | Sep 02 | |
| 15 | MG | ANJT | 0.01 | 4.7% | 0.19 | 1.00 | 72.9% | 9.27 | 1.18 B | -0.49 B | 0.68 B | 14.56 B | — | 0.074 | 0.07 | 29 | 45.1% | 207 | 142 | 14d | LOCAL | Sep 07 | |
| 16 | CP | ANJT | 0.00 | 1.4% | 0.26 | 1.00 | 59.9% | 5.60 | 2.68 B | -1.90 B | 0.77 B | 54.36 B | — | 0.001 | 0.20 | 30 | 43.7% | 367 | 290 | 220d | FOREIGN | Aug 26 | |
| 17 | OD | ANJT | 0.00 | 3.8% | 0.15 | 1.00 | 35.3% | 3.16 | 1.22 B | -0.42 B | 0.81 B | 21.24 B | — | -0.005 | 0.05 | 31 | 54.5% | 564 | 448 | 20d | 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