Smart Money · per-pair browser · obs May 08
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
26
matching current filters
Showing
26
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 | CC | DATA | 0.48 | 16.8% | 1.89 | 0.20 | 69.8% | 4.34 | 209.38 B | -98.59 B | 110.80 B | 660.46 B | BALANCED | 49.5% | 0.018 | 0.20 | 33 | 62.0% | 462 | 461 | 131d | LOCAL | May 08 |
| 2 | ZP | DATA | 0.36 | 16.3% | 1.29 | 1.00 | 50.6% | 4.87 | 25.94 B | -1.42 B | 24.52 B | 150.31 B | BALANCED | 49.3% | 0.007 | 0.19 | 35 | 62.0% | 432 | 385 | 39d | FOREIGN | May 08 |
| 3 | XC | DATA | 0.23 | 17.9% | 1.50 | 0.32 | 54.9% | 0.88 | 52.34 B | -1.05 B | 51.28 B | 286.54 B | BALANCED | 45.9% | -0.009 | 0.20 | 34 | 62.2% | 462 | 461 | 40d | LOCAL | May 08 |
| 4 | LG | DATA | 0.13 | 16.6% | 0.59 | 1.00 | 60.4% | 1.03 | 10.53 B | -0.09 B | 10.44 B | 62.94 B | BALANCED | 47.2% | -0.014 | 0.12 | 34 | 60.0% | 432 | 391 | 50d | LOCAL | May 08 |
| 5 | EP | DATA | 0.13 | 6.5% | 1.60 | 0.92 | 63.0% | 1.11 | 9.71 B | -0.23 B | 9.48 B | 145.91 B | BALANCED | 49.8% | 0.058 | 0.09 | 35 | 62.4% | 460 | 447 | 21d | LOCAL | May 08 |
| 6 | BK | DATA | 0.07 | 6.6% | 0.99 | 1.00 | 56.3% | 2.09 | 7.01 B | -0.00 B | 7.01 B | 106.72 B | BALANCED | 49.9% | 0.019 | 0.11 | 36 | 64.2% | 378 | 309 | 6d | FOREIGN | May 07 |
| 7 | YP | DATA | 0.06 | 5.6% | 2.12 | 0.14 | 55.4% | 1.45 | 101.64 B | -54.80 B | 46.85 B | 838.88 B | BALANCED | 51.8% | 0.043 | 0.15 | 37 | 62.4% | 462 | 462 | 4d | FOREIGN | May 08 |
| 8 | AK | DATA | 0.05 | 3.3% | 1.47 | 0.91 | 54.8% | 1.26 | 9.27 B | 0.02 B | 9.29 B | 282.61 B | BALANCED | 50.0% | -0.009 | 0.16 | 37 | 63.2% | 436 | 429 | 7d | FOREIGN | May 08 |
| 9 | DH | DATA | 0.04 | 10.2% | 0.27 | 0.99 | 63.2% | 1.93 | 8.28 B | -3.86 B | 4.42 B | 43.48 B | BALANCED | 55.0% | 0.004 | 0.04 | 33 | 59.3% | 428 | 387 | 62d | LOCAL | May 08 |
| 10 | AO | DATA | 0.03 | 8.3% | 0.33 | 1.00 | 70.7% | 2.89 | 4.75 B | -2.14 B | 2.61 B | 31.45 B | BALANCED | 54.8% | 0.023 | 0.20 | 29 | 56.0% | 259 | 191 | 12d | LOCAL | May 08 |
| 11 | AZ | DATA | 0.03 | 4.7% | 0.67 | 0.99 | 49.6% | 1.12 | 6.34 B | -2.17 B | 4.16 B | 89.10 B | BALANCED | 51.2% | -0.013 | 0.09 | 33 | 60.8% | 445 | 415 | 8d | LOCAL | May 08 |
| 12 | SQ | DATA | 0.03 | 4.1% | 0.52 | 0.98 | 53.5% | 1.20 | 9.98 B | -6.10 B | 3.88 B | 94.88 B | BALANCED | 51.0% | 0.005 | 0.16 | 34 | 61.0% | 451 | 430 | 33d | LOCAL | May 08 |
| 13 | GR | DATA | 0.02 | 3.4% | 0.69 | 0.99 | 55.2% | 1.38 | 5.50 B | -1.96 B | 3.53 B | 103.98 B | BALANCED | 50.2% | -0.021 | 0.19 | 34 | 60.4% | 442 | 411 | 7d | LOCAL | May 08 |
| 14 | TP | DATA | 0.02 | 9.6% | 0.25 | 1.00 | 58.1% | 1.60 | 2.79 B | -0.45 B | 2.34 B | 24.28 B | BALANCED | 51.0% | 0.020 | 0.22 | 34 | 61.1% | 401 | 313 | 18d | FOREIGN | May 08 |
| 15 | DR | DATA | 0.01 | 5.5% | 0.32 | 0.96 | 49.2% | 1.45 | 4.20 B | -0.08 B | 4.12 B | 74.51 B | BALANCED | 47.5% | -0.017 | 0.21 | 34 | 59.2% | 451 | 423 | 8d | FOREIGN | May 08 |
| 16 | XA | DATA | 0.01 | 5.8% | 0.29 | 0.97 | 48.0% | 1.43 | 3.17 B | -0.07 B | 3.10 B | 53.35 B | BALANCED | 50.6% | -0.023 | 0.19 | 36 | 60.9% | 439 | 407 | 5d | FOREIGN | May 08 |
| 17 | RF | DATA | 0.01 | 12.0% | 0.12 | 1.00 | 60.6% | 3.11 | 1.13 B | -0.33 B | 0.80 B | 6.70 B | BALANCED | 38.2% | 0.058 | 0.18 | 37 | 61.3% | 160 | 100 | 12d | LOCAL | Nov 28 |
| 18 | OD | DATA | 0.01 | 3.9% | 0.47 | 0.76 | 46.6% | 0.49 | 3.02 B | 0.00 B | 3.02 B | 77.64 B | BALANCED | 43.1% | -0.026 | 0.14 | 31 | 56.8% | 454 | 434 | 4d | LOCAL | May 08 |
| 19 | CP | DATA | 0.01 | 1.8% | 1.55 | 0.39 | 44.2% | 0.95 | 6.30 B | 0.00 B | 6.30 B | 345.48 B | BALANCED | 47.7% | 0.003 | 0.17 | 33 | 58.7% | 461 | 455 | 12d | FOREIGN | May 08 |
| 20 | SH | DATA | 0.01 | 5.1% | 0.29 | 1.00 | 56.5% | 0.36 | 1.16 B | -0.15 B | 1.01 B | 19.56 B | BALANCED | 54.5% | -0.033 | 0.27 | 37 | 56.2% | 215 | 169 | 38d | LOCAL | Apr 23 |
| 21 | LS | DATA | 0.01 | 12.0% | 0.14 | 1.00 | 52.1% | 6.20 | 1.04 B | -0.01 B | 1.03 B | 8.53 B | BALANCED | 50.8% | 0.015 | 0.18 | 27 | 58.4% | 214 | 142 | 44d | FOREIGN | Apr 29 |
| 22 | HP | DATA | 0.01 | 10.1% | 0.10 | 1.00 | 57.6% | 2.89 | 1.72 B | -0.15 B | 1.57 B | 15.53 B | BALANCED | 48.9% | -0.007 | 0.18 | 32 | 57.1% | 388 | 321 | 6d | LOCAL | May 08 |
| 23 | MG | DATA | 0.01 | 0.9% | 1.62 | 0.65 | 48.7% | 0.98 | 3.97 B | -0.18 B | 3.79 B | 424.08 B | BALANCED | 50.0% | -0.000 | 0.08 | 35 | 59.1% | 460 | 446 | 56d | LOCAL | May 08 |
| 24 | NI | DATA | 0.01 | 2.5% | 0.47 | 0.59 | 51.1% | 0.98 | 5.51 B | -1.75 B | 3.76 B | 148.63 B | BALANCED | 48.7% | -0.018 | 0.17 | 32 | 58.2% | 459 | 452 | 18d | LOCAL | May 08 |
| 25 | KK | DATA | 0.01 | 4.2% | 0.38 | 0.43 | 45.6% | 0.84 | 6.19 B | -0.36 B | 5.84 B | 140.54 B | BALANCED | 48.3% | -0.035 | 0.25 | 34 | 59.2% | 461 | 452 | 13d | FOREIGN | May 08 |
| 26 | BQ | DATA | 0.00 | 4.4% | 0.21 | 0.65 | 47.5% | 2.39 | 3.25 B | -0.11 B | 3.14 B | 70.76 B | BALANCED | 49.5% | 0.012 | 0.29 | 36 | 58.5% | 458 | 442 | 10d | FOREIGN | May 08 |
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