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 | PP | DSSA | 79.79 | 28.5% | 60.10 | 1.00 | 61.8% | 10.00 | 115.82 B | 0.00 B | 115.83 B | 406.77 B | — | 0.114 | 0.24 | 30 | 47.3% | 173 | 68 | 772d | LOCAL | Aug 26 | |
| 2 | PP | TAPG | 1.34 | 51.6% | 2.16 | 1.00 | 72.7% | 2.34 | 4.29 B | 48.60 B | 52.88 B | 102.41 B | — | -0.028 | 0.02 | 28 | 40.9% | 128 | 55 | 729d | LOCAL | Sep 01 | |
| 3 | PP | BRMS | 0.97 | 38.0% | 1.47 | 1.00 | 86.8% | 10.00 | 7.42 B | 23.15 B | 30.57 B | 80.49 B | — | -0.018 | 0.04 | 30 | 47.3% | 136 | 68 | 34d | LOCAL | Jul 16 | |
| 4 | PP | TINS | 0.88 | 56.6% | 1.37 | 1.00 | 60.3% | 8.52 | 6.24 B | 24.59 B | 30.83 B | 54.42 B | — | 0.156 | 0.06 | 39 | 56.1% | 140 | 63 | 42d | LOCAL | May 19 | |
| 5 | PP | ANTM | 0.38 | 19.8% | 1.21 | 1.00 | 57.1% | 10.00 | 16.54 B | 0.28 B | 16.83 B | 85.03 B | — | -0.004 | -0.00 | 29 | 50.1% | 272 | 147 | 60d | LOCAL | Jul 28 | |
| 6 | PP | PTRO | 0.29 | 22.0% | 1.27 | 1.00 | 77.5% | 10.00 | 2.15 B | 0.81 B | 2.97 B | 13.49 B | — | -0.075 | 0.05 | 35 | 49.1% | 86 | 40 | 12d | LOCAL | May 06 | |
| 7 | PP | BUMI | 0.16 | 36.7% | 0.89 | 1.00 | 37.0% | 10.00 | 2.22 B | 0.24 B | 2.46 B | 6.71 B | — | 0.027 | -0.02 | 22 | 39.6% | 72 | 27 | 61d | LOCAL | Jul 16 | |
| 8 | PP | EXCL | 0.08 | 13.1% | 0.77 | 1.00 | 66.7% | 3.31 | 1.49 B | 1.54 B | 3.03 B | 23.09 B | — | -0.005 | 0.04 | 31 | 59.3% | 84 | 51 | 185d | LOCAL | Jan 08 | |
| 9 | PP | DEWA | 0.08 | 11.9% | 0.88 | 1.00 | 62.5% | 9.14 | 1.55 B | 0.25 B | 1.80 B | 15.05 B | — | -0.035 | 0.02 | 24 | 41.2% | 70 | 32 | 15d | LOCAL | Jul 13 | |
| 10 | PP | PGAS | 0.08 | 4.3% | 1.07 | 1.00 | 87.0% | 10.00 | 6.99 B | -3.63 B | 3.36 B | 77.98 B | — | 0.006 | 0.07 | 35 | 49.0% | 213 | 100 | 28d | LOCAL | Sep 01 | |
| 11 | PP | PYFA | 0.05 | 3.9% | 1.17 | 1.00 | 73.7% | 10.00 | 2.77 B | -1.87 B | 0.89 B | 22.94 B | — | 0.025 | 0.20 | 24 | 66.4% | 70 | 19 | 44d | LOCAL | Jun 02 | |
| 12 | PP | MAPI | 0.05 | 8.5% | 0.74 | 1.00 | 56.5% | 5.99 | 1.90 B | -0.01 B | 1.88 B | 22.07 B | — | -0.001 | -0.10 | 26 | 55.1% | 134 | 62 | 48d | LOCAL | Sep 02 | |
| 13 | PP | BRPT | 0.04 | 7.3% | 0.81 | 1.00 | 54.5% | 2.69 | 2.12 B | -0.13 B | 1.99 B | 27.51 B | — | 0.012 | -0.04 | 21 | 56.5% | 238 | 137 | 16d | LOCAL | Jan 29 | |
| 14 | PP | ELSA | 0.04 | 4.0% | 1.24 | 1.00 | 60.7% | 3.32 | 2.24 B | 0.21 B | 2.45 B | 61.05 B | — | 0.018 | 0.00 | 35 | 66.5% | 143 | 61 | 64d | LOCAL | Sep 02 | |
| 15 | PP | TPIA | 0.04 | 4.1% | 1.11 | 1.00 | 57.8% | 1.76 | 2.20 B | -0.01 B | 2.20 B | 52.95 B | — | 0.050 | 0.16 | 29 | 38.4% | 152 | 102 | 43d | LOCAL | Aug 10 | |
| 16 | PP | ASII | 0.01 | 1.0% | 1.31 | 1.00 | 44.5% | 2.69 | 2.53 B | -1.64 B | 0.89 B | 87.04 B | — | 0.008 | 0.00 | 29 | 45.2% | 252 | 137 | 54d | LOCAL | Jul 16 | |
| 17 | PP | SCMA | 0.00 | 0.0% | 0.32 | 1.00 | 69.2% | 10.00 | 1.58 B | -1.57 B | 0.01 B | 20.01 B | — | -0.002 | -0.11 | 27 | 54.8% | 133 | 54 | 150d | LOCAL | Jun 19 |
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