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
16
matching current filters
Showing
16
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 | SQ | MBSS | 0.66 | 35.1% | 0.92 | 1.00 | 75.1% | 10.00 | 15.37 B | 35.36 B | 50.72 B | 144.60 B | — | 0.005 | 0.13 | 32 | 66.7% | 476 | 353 | 354d | LOCAL | Sep 07 | |
| 2 | TS | MBSS | 0.42 | 41.5% | 0.75 | 1.00 | 94.1% | 10.00 | 2.69 B | 0.02 B | 2.71 B | 6.54 B | — | -0.081 | -0.19 | 39 | 54.3% | 25 | 17 | 259d | LOCAL | Sep 02 | |
| 3 | HP | MBSS | 0.03 | 12.9% | 0.31 | 1.00 | 72.7% | 2.88 | 1.11 B | 2.69 B | 3.81 B | 29.41 B | — | 0.008 | -0.01 | 27 | 44.2% | 253 | 176 | 29d | LOCAL | Sep 02 | |
| 4 | ZP | MBSS | 0.03 | 3.3% | 1.25 | 1.00 | 59.2% | 2.24 | 1.48 B | 0.00 B | 1.48 B | 44.82 B | — | 0.036 | -0.02 | 26 | 45.9% | 341 | 267 | 968d | FOREIGN | Sep 04 | |
| 5 | PD | MBSS | 0.02 | 8.2% | 0.45 | 0.99 | 34.3% | 1.59 | 5.70 B | 3.37 B | 9.06 B | 110.27 B | — | 0.016 | -0.03 | 26 | 59.6% | 602 | 562 | 10d | LOCAL | Sep 07 | |
| 6 | MG | MBSS | 0.02 | 3.9% | 0.70 | 1.00 | 55.0% | 2.27 | 2.33 B | 1.06 B | 3.39 B | 86.14 B | — | -0.033 | -0.07 | 23 | 52.0% | 512 | 283 | 46d | LOCAL | Sep 07 | |
| 7 | CC | MBSS | 0.02 | 3.3% | 0.59 | 0.97 | 55.2% | 1.65 | 5.70 B | 0.32 B | 6.03 B | 181.85 B | — | -0.017 | -0.02 | 25 | 56.4% | 586 | 525 | 19d | LOCAL | Sep 07 | |
| 8 | BK | MBSS | 0.02 | 7.2% | 0.44 | 1.00 | 54.0% | 1.40 | 1.08 B | 2.30 B | 3.38 B | 46.78 B | — | 0.034 | -0.00 | 30 | 50.7% | 263 | 224 | 3d | FOREIGN | Sep 03 | |
| 9 | TP | MBSS | 0.02 | 16.1% | 0.13 | 1.00 | 60.8% | 4.29 | 1.80 B | 0.16 B | 1.96 B | 12.14 B | — | 0.032 | -0.04 | 31 | 59.1% | 279 | 189 | 36d | FOREIGN | Sep 02 | |
| 10 | GR | MBSS | 0.01 | 6.1% | 0.29 | 1.00 | 48.9% | 1.52 | 1.56 B | 0.92 B | 2.48 B | 40.95 B | — | -0.035 | -0.05 | 27 | 52.8% | 406 | 321 | 20d | LOCAL | Sep 07 | |
| 11 | CP | MBSS | 0.01 | 3.6% | 0.33 | 1.00 | 53.8% | 1.65 | 3.54 B | 0.15 B | 3.69 B | 102.89 B | — | 0.025 | -0.00 | 26 | 54.0% | 429 | 372 | 9d | FOREIGN | Sep 07 | |
| 12 | YP | MBSS | 0.01 | 2.9% | 0.53 | 0.96 | 40.7% | 1.22 | 3.28 B | 1.50 B | 4.78 B | 162.66 B | — | -0.013 | -0.05 | 26 | 60.5% | 617 | 553 | 10d | FOREIGN | Sep 07 | |
| 13 | YU | MBSS | 0.01 | 8.2% | 0.20 | 1.00 | 50.6% | 2.23 | 1.10 B | 0.31 B | 1.41 B | 17.32 B | — | -0.031 | -0.12 | 30 | 56.7% | 267 | 172 | 18d | FOREIGN | Sep 01 | |
| 14 | YB | MBSS | 0.01 | 8.5% | 0.17 | 1.00 | 43.7% | 3.18 | 2.28 B | 0.12 B | 2.40 B | 28.12 B | — | 0.014 | -0.06 | 28 | 54.0% | 372 | 302 | 20d | LOCAL | Sep 07 | |
| 15 | AK | MBSS | 0.01 | 2.8% | 0.45 | 1.00 | 44.6% | 1.55 | 3.24 B | 0.01 B | 3.25 B | 116.04 B | — | 0.028 | -0.05 | 27 | 56.3% | 496 | 370 | 10d | FOREIGN | Sep 07 | |
| 16 | KK | MBSS | 0.01 | 6.3% | 0.20 | 1.00 | 36.3% | 1.68 | 2.22 B | 0.47 B | 2.68 B | 42.36 B | — | -0.012 | -0.05 | 28 | 56.4% | 507 | 424 | 6d | 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