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
28
matching current filters
Showing
28
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 | SGRO | 4.02 | 65.3% | 1.86 | 1.00 | 96.9% | 10.00 | 25.71 B | 2.68 B | 28.39 B | 43.45 B | — | 0.094 | 0.02 | 44 | 68.7% | 105 | 32 | 600d | LOCAL | Jan 30 | |
| 2 | RF | SGRO | 1.57 | 13.8% | 4.58 | 1.00 | 94.4% | 10.00 | 14.49 B | -3.76 B | 10.73 B | 77.74 B | — | 0.125 | 0.18 | 55 | 52.6% | 55 | 19 | 4d | LOCAL | Feb 13 | |
| 3 | DR | SGRO | 0.86 | 54.2% | 0.51 | 1.00 | 86.3% | 10.00 | 29.32 B | 8.41 B | 37.72 B | 69.58 B | — | -0.029 | 0.16 | 45 | 65.4% | 512 | 256 | 3d | FOREIGN | Sep 03 | |
| 4 | AG | SGRO | 0.58 | 58.8% | 0.53 | 1.00 | 83.1% | 10.00 | 10.01 B | 0.04 B | 10.05 B | 17.09 B | — | 0.104 | 0.09 | 49 | 62.4% | 136 | 89 | 47d | FOREIGN | Jul 30 | |
| 5 | BK | SGRO | 0.54 | 21.7% | 1.29 | 1.00 | 90.9% | 10.00 | 8.46 B | -0.45 B | 8.01 B | 36.99 B | — | 0.130 | 0.10 | 49 | 51.0% | 143 | 110 | 4d | FOREIGN | Mar 30 | |
| 6 | PD | SGRO | 0.45 | 16.1% | 1.29 | 1.00 | 51.8% | 10.00 | 38.73 B | -7.23 B | 31.50 B | 195.19 B | — | -0.008 | 0.08 | 39 | 61.9% | 566 | 458 | 113d | LOCAL | Sep 07 | |
| 7 | YP | SGRO | 0.37 | 16.7% | 1.01 | 1.00 | 65.4% | 10.00 | 24.85 B | 0.12 B | 24.97 B | 149.73 B | — | 0.024 | 0.01 | 42 | 65.0% | 593 | 494 | 33d | FOREIGN | Sep 07 | |
| 8 | SS | SGRO | 0.33 | 25.2% | 0.88 | 1.00 | 100.0% | 10.00 | 3.02 B | 0.00 B | 3.02 B | 11.99 B | — | 0.222 | 0.32 | 56 | 57.1% | 51 | 24 | 156d | LOCAL | Dec 22 | |
| 9 | NI | SGRO | 0.29 | 27.0% | 0.60 | 1.00 | 60.0% | 10.00 | 19.67 B | -0.14 B | 19.52 B | 72.33 B | — | 0.001 | 0.13 | 39 | 63.9% | 546 | 423 | 31d | LOCAL | Sep 07 | |
| 10 | EL | SGRO | 0.27 | 21.9% | 1.02 | 1.00 | 100.0% | 10.00 | 1.51 B | 0.00 B | 1.51 B | 6.93 B | — | 0.208 | 0.25 | 48 | 43.9% | 19 | 9 | 16d | LOCAL | Jan 21 | |
| 11 | AI | SGRO | 0.15 | 13.4% | 0.64 | 1.00 | 87.9% | 10.00 | 6.87 B | -2.44 B | 4.44 B | 33.13 B | — | 0.039 | 0.26 | 42 | 52.6% | 167 | 107 | 4d | FOREIGN | Sep 07 | |
| 12 | AK | SGRO | 0.14 | 7.2% | 1.49 | 1.00 | 64.9% | 10.00 | 7.88 B | 0.00 B | 7.88 B | 109.66 B | — | 0.036 | 0.01 | 41 | 61.0% | 411 | 271 | 21d | FOREIGN | Aug 13 | |
| 13 | EP | SGRO | 0.13 | 15.8% | 0.67 | 1.00 | 68.3% | 10.00 | 4.99 B | -0.12 B | 4.87 B | 30.81 B | — | 0.024 | 0.19 | 39 | 58.9% | 325 | 254 | 84d | LOCAL | Sep 07 | |
| 14 | XL | SGRO | 0.08 | 7.3% | 0.73 | 0.98 | 54.2% | 2.87 | 15.47 B | -0.51 B | 14.97 B | 204.48 B | — | 0.000 | 0.04 | 40 | 66.4% | 604 | 533 | 29d | LOCAL | Sep 07 | |
| 15 | ES | SGRO | 0.08 | 8.4% | 0.84 | 1.00 | 77.4% | 10.00 | 2.36 B | -0.95 B | 1.41 B | 16.72 B | — | 0.079 | 0.11 | 49 | 44.4% | 63 | 31 | 87d | LOCAL | Jun 12 | |
| 16 | MG | SGRO | 0.05 | 6.3% | 0.63 | 1.00 | 67.9% | 10.00 | 5.77 B | -0.61 B | 5.15 B | 81.85 B | — | 0.023 | 0.04 | 45 | 47.9% | 179 | 140 | 624d | LOCAL | Aug 13 | |
| 17 | IF | SGRO | 0.05 | 9.9% | 0.54 | 1.00 | 61.8% | 10.00 | 2.47 B | 0.00 B | 2.48 B | 25.14 B | — | 0.002 | 0.17 | 41 | 57.3% | 170 | 110 | 8d | LOCAL | Sep 03 | |
| 18 | YU | SGRO | 0.05 | 3.1% | 2.06 | 1.00 | 54.7% | 5.39 | 1.91 B | -0.74 B | 1.17 B | 37.16 B | — | 0.011 | 0.11 | 41 | 56.4% | 279 | 151 | 56d | FOREIGN | Sep 07 | |
| 19 | GR | SGRO | 0.04 | 13.0% | 0.32 | 1.00 | 67.3% | 10.00 | 3.16 B | 0.10 B | 3.26 B | 25.05 B | — | 0.020 | 0.17 | 40 | 65.0% | 318 | 207 | 72d | LOCAL | Sep 04 | |
| 20 | KI | SGRO | 0.03 | 18.1% | 0.27 | 1.00 | 55.1% | 10.00 | 1.72 B | 0.01 B | 1.72 B | 9.50 B | — | 0.005 | 0.07 | 43 | 55.5% | 168 | 101 | 50d | LOCAL | Aug 27 | |
| 21 | CP | SGRO | 0.03 | 2.6% | 0.87 | 1.00 | 72.1% | 8.56 | 7.56 B | -4.53 B | 3.02 B | 116.22 B | — | -0.010 | 0.11 | 40 | 55.0% | 288 | 215 | 6d | FOREIGN | Sep 03 | |
| 22 | CD | SGRO | 0.03 | 20.8% | 0.21 | 1.00 | 66.7% | 10.00 | 1.04 B | -0.00 B | 1.04 B | 4.99 B | — | 0.059 | 0.17 | 50 | 69.2% | 77 | 43 | 18d | LOCAL | Jul 13 | |
| 23 | DH | SGRO | 0.03 | 16.3% | 0.15 | 1.00 | 66.8% | 6.69 | 3.21 B | -0.03 B | 3.17 B | 19.50 B | — | 0.018 | 0.13 | 42 | 62.9% | 363 | 242 | 153d | LOCAL | Sep 04 | |
| 24 | XC | SGRO | 0.02 | 10.0% | 0.25 | 1.00 | 57.0% | 4.65 | 4.42 B | 0.30 B | 4.72 B | 47.10 B | — | -0.030 | 0.07 | 39 | 63.9% | 605 | 511 | 41d | LOCAL | Sep 07 | |
| 25 | CC | SGRO | 0.01 | 1.9% | 1.02 | 1.00 | 56.0% | 1.51 | 1.57 B | 1.11 B | 2.68 B | 142.23 B | — | -0.009 | 0.05 | 40 | 63.4% | 601 | 533 | 27d | LOCAL | Sep 07 | |
| 26 | KK | SGRO | 0.01 | 6.7% | 0.20 | 1.00 | 61.1% | 10.00 | 2.36 B | 0.05 B | 2.41 B | 36.00 B | — | -0.020 | 0.15 | 38 | 67.1% | 464 | 368 | 27d | FOREIGN | Sep 07 | |
| 27 | SQ | SGRO | 0.01 | 3.5% | 0.43 | 1.00 | 57.0% | 3.20 | 1.74 B | 0.19 B | 1.93 B | 55.70 B | — | 0.003 | 0.01 | 39 | 63.1% | 398 | 321 | 10d | LOCAL | Sep 07 | |
| 28 | TP | SGRO | 0.00 | 0.0% | 0.37 | 1.00 | 52.8% | 5.39 | 2.05 B | -2.05 B | 0.00 B | 33.87 B | — | 0.004 | 0.18 | 40 | 56.5% | 228 | 142 | 917d | FOREIGN | 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