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 | KZ | TOTL | 0.59 | 32.6% | 0.91 | 1.00 | 100.0% | 999.00 | 7.17 B | 0.00 B | 7.17 B | 21.96 B | DISTRIBUTOR | 28.2% | 0.000 | 0.00 | 0 | 0.0% | 60 | 29 | 819d | FOREIGN | Apr 29 |
| 2 | YU | TOTL | 0.17 | 18.6% | 0.48 | 1.00 | 88.9% | 60.46 | 8.38 B | 0.00 B | 8.38 B | 45.09 B | BALANCED | 48.5% | 0.000 | 0.00 | 0 | 0.0% | 356 | 225 | 22d | FOREIGN | May 06 |
| 3 | ZP | TOTL | 0.15 | 12.4% | 0.59 | 1.00 | 91.5% | 117.42 | 10.45 B | 0.00 B | 10.45 B | 84.38 B | BALANCED | 58.7% | 0.000 | 0.00 | 0 | 0.0% | 491 | 354 | 21d | FOREIGN | May 08 |
| 4 | RX | TOTL | 0.07 | 10.2% | 0.74 | 1.00 | 88.9% | 95.84 | 1.00 B | 0.00 B | 1.00 B | 9.86 B | DISTRIBUTOR | 28.8% | 0.000 | 0.00 | 0 | 0.0% | 54 | 27 | 25d | FOREIGN | Apr 28 |
| 5 | BK | TOTL | 0.06 | 8.7% | 0.66 | 1.00 | 60.9% | 3300.27 | 4.56 B | 0.00 B | 4.56 B | 52.23 B | BALANCED | 68.0% | 0.000 | 0.00 | 0 | 0.0% | 419 | 307 | 69d | FOREIGN | May 08 |
| 6 | NI | TOTL | 0.04 | 10.1% | 0.33 | 1.00 | 67.9% | 157.18 | 4.08 B | 0.00 B | 4.08 B | 40.26 B | BALANCED | 53.6% | 0.000 | 0.00 | 0 | 0.0% | 554 | 548 | 8d | LOCAL | May 08 |
| 7 | YJ | TOTL | 0.03 | 11.3% | 0.21 | 1.00 | 85.0% | 476.71 | 2.09 B | 0.00 B | 2.09 B | 18.48 B | BALANCED | 47.6% | 0.000 | 0.00 | 0 | 0.0% | 269 | 160 | 12d | LOCAL | May 07 |
| 8 | XL | TOTL | 0.03 | 4.6% | 0.82 | 0.54 | 61.0% | 3.69 | 8.26 B | 0.00 B | 8.26 B | 181.50 B | BALANCED | 52.1% | 0.000 | 0.00 | 0 | 0.0% | 554 | 554 | 13d | LOCAL | May 08 |
| 9 | KK | TOTL | 0.02 | 7.0% | 0.27 | 1.00 | 63.7% | 3.65 | 3.63 B | 0.00 B | 3.63 B | 52.19 B | BALANCED | 51.0% | 0.000 | 0.00 | 0 | 0.0% | 552 | 531 | 10d | FOREIGN | May 08 |
| 10 | CC | TOTL | 0.02 | 4.0% | 0.54 | 0.80 | 61.8% | 4.52 | 4.46 B | 0.00 B | 4.46 B | 111.67 B | BALANCED | 45.3% | 0.000 | 0.00 | 0 | 0.0% | 554 | 553 | 6d | LOCAL | May 08 |
| 11 | SQ | TOTL | 0.02 | 7.9% | 0.24 | 1.00 | 62.2% | 25.89 | 2.62 B | 0.00 B | 2.62 B | 33.11 B | BALANCED | 52.8% | 0.000 | 0.00 | 0 | 0.0% | 551 | 497 | 148d | LOCAL | May 08 |
| 12 | LG | TOTL | 0.01 | 5.9% | 0.24 | 1.00 | 65.0% | 3.95 | 1.26 B | 0.00 B | 1.26 B | 21.31 B | BALANCED | 30.2% | 0.000 | 0.00 | 0 | 0.0% | 482 | 361 | 75d | LOCAL | May 07 |
| 13 | OD | TOTL | 0.01 | 5.0% | 0.28 | 1.00 | 54.3% | 4.85 | 1.45 B | 0.00 B | 1.45 B | 29.12 B | BALANCED | 49.1% | 0.000 | 0.00 | 0 | 0.0% | 552 | 504 | 9d | LOCAL | May 08 |
| 14 | DR | TOTL | 0.01 | 3.9% | 0.22 | 1.00 | 64.2% | 107.19 | 1.31 B | 0.00 B | 1.31 B | 33.30 B | BALANCED | 52.1% | 0.000 | 0.00 | 0 | 0.0% | 516 | 404 | 13d | FOREIGN | May 08 |
| 15 | YP | TOTL | 0.00 | 1.4% | 0.67 | 0.80 | 49.6% | 2.69 | 1.46 B | 0.00 B | 1.46 B | 103.01 B | BALANCED | 45.2% | 0.000 | 0.00 | 0 | 0.0% | 554 | 554 | 6d | 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