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 | RG | INDS | 8.80 | 188.7% | 3.45 | 1.00 | 53.3% | 10.00 | 13.29 B | -0.00 B | 13.29 B | 7.04 B | — | -0.136 | -0.31 | 7 | 15.1% | 33 | 15 | 624d | LOCAL | Aug 27 | |
| 2 | RG | PTRO | 0.34 | 39.1% | 0.39 | 1.00 | 73.1% | 10.00 | 20.62 B | 0.02 B | 20.64 B | 52.73 B | — | -0.007 | 0.05 | 36 | 55.4% | 519 | 420 | 41d | LOCAL | Sep 07 | |
| 3 | RG | CMNP | 0.19 | 19.3% | 0.69 | 1.00 | 69.4% | 10.00 | 8.21 B | -0.70 B | 7.52 B | 38.85 B | — | 0.107 | -0.10 | 27 | 72.0% | 281 | 85 | 399d | LOCAL | Aug 18 | |
| 4 | RG | BLUE | 0.06 | 15.2% | 0.49 | 1.00 | 71.4% | 5.33 | 1.40 B | 0.00 B | 1.40 B | 9.19 B | — | -0.029 | 0.05 | 28 | 36.3% | 49 | 28 | 21d | LOCAL | Aug 11 | |
| 5 | RG | JARR | 0.05 | 96.7% | 0.07 | 1.00 | 55.2% | 10.00 | 2.11 B | 0.00 B | 2.11 B | 2.18 B | — | -0.189 | 0.12 | 21 | 35.5% | 137 | 96 | 38d | LOCAL | Sep 02 | |
| 6 | RG | VISI | 0.04 | 29.9% | 0.13 | 1.00 | 81.5% | 8.78 | 1.77 B | 1.54 B | 3.31 B | 11.04 B | — | 0.016 | 0.08 | 42 | 60.8% | 185 | 109 | 5d | LOCAL | Aug 26 | |
| 7 | RG | TINS | 0.04 | 19.9% | 0.17 | 1.00 | 72.0% | 10.00 | 3.71 B | 0.58 B | 4.29 B | 21.57 B | — | 0.032 | 0.06 | 36 | 53.5% | 419 | 311 | 16d | LOCAL | Sep 07 | |
| 8 | RG | ARKO | 0.04 | 26.0% | 0.20 | 1.00 | 50.0% | 7.74 | 2.26 B | -0.14 B | 2.12 B | 8.16 B | — | 0.082 | 0.21 | 27 | 50.5% | 94 | 44 | 76d | LOCAL | Sep 02 | |
| 9 | RG | KOTA | 0.03 | 77.9% | 0.05 | 1.00 | 76.6% | 10.00 | 1.40 B | -0.00 B | 1.40 B | 1.80 B | — | -0.084 | 0.12 | 30 | 52.0% | 134 | 94 | 498d | LOCAL | Sep 04 | |
| 10 | RG | ASII | 0.02 | 4.9% | 0.51 | 1.00 | 63.2% | 8.80 | 2.36 B | -0.01 B | 2.34 B | 48.01 B | — | -0.004 | -0.00 | 25 | 55.8% | 460 | 300 | 396d | LOCAL | Sep 07 | |
| 11 | RG | PGAS | 0.02 | 5.2% | 0.48 | 1.00 | 68.8% | 10.00 | 1.67 B | 0.00 B | 1.67 B | 32.34 B | — | 0.002 | 0.16 | 36 | 52.9% | 473 | 286 | 8d | LOCAL | Sep 04 | |
| 12 | RG | CLAY | 0.02 | 37.0% | 0.07 | 1.00 | 68.1% | 10.00 | 1.14 B | -0.00 B | 1.14 B | 3.09 B | — | 0.039 | 0.10 | 34 | 48.3% | 149 | 69 | 218d | LOCAL | Aug 05 | |
| 13 | RG | BUVA | 0.02 | 15.0% | 0.13 | 1.00 | 64.9% | 4.09 | 2.13 B | -0.01 B | 2.12 B | 14.12 B | — | 0.030 | 0.09 | 24 | 43.8% | 253 | 197 | 3d | LOCAL | Sep 07 | |
| 14 | RG | BREN | 0.01 | 4.5% | 0.23 | 0.90 | 52.5% | 1.86 | 1.62 B | -0.02 B | 1.61 B | 35.47 B | — | -0.009 | 0.06 | 28 | 46.3% | 513 | 440 | 10d | LOCAL | Sep 07 | |
| 15 | RG | BULL | 0.01 | 7.2% | 0.13 | 1.00 | 52.7% | 3.31 | 1.30 B | -0.01 B | 1.29 B | 17.92 B | — | 0.067 | 0.06 | 25 | 46.6% | 199 | 150 | 4d | LOCAL | Sep 04 | |
| 16 | RG | PSAB | 0.00 | 1.5% | 0.32 | 0.01 | 49.9% | 1.82 | 3.40 B | -0.00 B | 3.40 B | 223.03 B | — | -0.003 | 0.22 | 32 | 55.5% | 588 | 547 | 10d | LOCAL | Sep 01 | |
| 17 | RG | AMMN | 0.00 | 0.3% | 0.61 | 0.01 | 55.0% | 1.50 | 2.38 B | 0.01 B | 2.39 B | 702.39 B | — | 0.011 | 0.19 | 26 | 51.0% | 578 | 549 | 4d | 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