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
15
matching current filters
Showing
15
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 | HD | FOLK | 0.84 | 144.1% | 0.31 | 1.00 | 87.1% | 9.39 | 8.97 B | -1.17 B | 7.80 B | 5.41 B | DISTRIBUTOR | 17.6% | -0.091 | 0.23 | 26 | 68.2% | 95 | 31 | 692d | FOREIGN | Apr 21 |
| 2 | RF | FOLK | 0.67 | 119.1% | 0.43 | 1.00 | 87.5% | 7864.37 | 3.06 B | 0.00 B | 3.06 B | 2.57 B | BALANCED | 50.5% | 0.475 | 0.28 | 42 | 74.4% | 23 | 16 | 106d | LOCAL | Feb 02 |
| 3 | FS | FOLK | 0.20 | 61.4% | 0.30 | 1.00 | 84.0% | 50.69 | 2.05 B | 0.00 B | 2.05 B | 3.34 B | BALANCED | 49.9% | 0.342 | 0.47 | 39 | 69.8% | 45 | 25 | 12d | FOREIGN | Feb 05 |
| 4 | PG | FOLK | 0.12 | 35.6% | 0.33 | 1.00 | 72.7% | 18.18 | 2.82 B | -0.28 B | 2.54 B | 7.14 B | BALANCED | 49.3% | 0.073 | 0.24 | 33 | 61.5% | 73 | 33 | 322d | LOCAL | May 07 |
| 5 | BK | FOLK | 0.08 | 23.3% | 0.49 | 1.00 | 48.1% | 22.12 | 2.48 B | -0.01 B | 2.47 B | 10.58 B | BALANCED | 50.5% | -0.035 | -0.06 | 13 | 41.2% | 88 | 79 | 49d | FOREIGN | May 08 |
| 6 | AZ | FOLK | 0.04 | 16.5% | 0.20 | 1.00 | 50.2% | 9.10 | 12.05 B | -4.27 B | 7.78 B | 47.23 B | BALANCED | 51.2% | -0.021 | -0.03 | 27 | 69.2% | 387 | 255 | 12d | LOCAL | May 08 |
| 7 | AG | FOLK | 0.02 | 45.6% | 0.07 | 1.00 | 50.0% | 32.93 | 2.24 B | -0.35 B | 1.89 B | 4.15 B | BALANCED | 44.5% | -0.013 | 0.32 | 26 | 57.8% | 213 | 134 | 2d | FOREIGN | Apr 22 |
| 8 | HP | FOLK | 0.02 | 18.4% | 0.11 | 1.00 | 67.4% | 791.44 | 2.00 B | -0.13 B | 1.87 B | 10.19 B | ACCUMULATOR | 81.1% | 0.034 | 0.19 | 26 | 59.0% | 220 | 144 | 16d | LOCAL | May 08 |
| 9 | PD | FOLK | 0.02 | 13.1% | 0.13 | 1.00 | 46.1% | 5.07 | 7.51 B | -3.79 B | 3.72 B | 28.36 B | BALANCED | 51.8% | 0.009 | 0.10 | 30 | 68.2% | 459 | 410 | 18d | LOCAL | May 08 |
| 10 | DH | FOLK | 0.01 | 21.1% | 0.08 | 1.00 | 54.9% | 1.63 | 2.09 B | -0.47 B | 1.61 B | 7.66 B | BALANCED | 44.2% | 0.084 | 0.06 | 30 | 66.5% | 309 | 206 | 12d | LOCAL | May 07 |
| 11 | MG | FOLK | 0.01 | 9.2% | 0.09 | 0.99 | 66.5% | 4.89 | 3.71 B | -2.14 B | 1.57 B | 17.04 B | BALANCED | 52.8% | -0.015 | 0.18 | 30 | 66.7% | 316 | 258 | 6d | LOCAL | May 08 |
| 12 | CC | FOLK | 0.01 | 4.8% | 0.25 | 1.00 | 44.8% | 3.58 | 2.22 B | 0.00 B | 2.22 B | 46.07 B | BALANCED | 48.8% | -0.010 | -0.04 | 29 | 67.8% | 458 | 378 | 6d | LOCAL | May 08 |
| 13 | IF | FOLK | 0.01 | 4.2% | 0.15 | 1.00 | 62.5% | 13.46 | 3.48 B | -3.00 B | 0.47 B | 11.44 B | BALANCED | 63.4% | -0.028 | 0.04 | 24 | 50.8% | 174 | 112 | 74d | LOCAL | May 04 |
| 14 | YP | FOLK | 0.00 | 2.0% | 0.25 | 0.97 | 46.6% | 1.79 | 1.11 B | -0.10 B | 1.01 B | 51.09 B | BALANCED | 46.4% | 0.012 | 0.06 | 29 | 66.1% | 443 | 404 | 3d | FOREIGN | May 08 |
| 15 | BQ | FOLK | 0.00 | 4.0% | 0.10 | 0.99 | 43.5% | 1.58 | 1.51 B | -0.63 B | 0.88 B | 22.14 B | BALANCED | 50.7% | 0.033 | 0.21 | 28 | 61.1% | 340 | 280 | 13d | FOREIGN | May 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