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 | RO | ARCI | 0.10 | 17.3% | 0.47 | 1.00 | 64.6% | 15.83 | 6.44 B | -0.43 B | 6.01 B | 34.80 B | BALANCED | 48.8% | 0.056 | 0.15 | 31 | 52.1% | 229 | 181 | 80d | LOCAL | May 08 |
| 2 | RO | ENRG | 0.02 | 5.0% | 0.49 | 1.00 | 63.4% | 2.12 | 2.66 B | -0.42 B | 2.24 B | 45.10 B | BALANCED | 46.8% | -0.006 | 0.15 | 34 | 58.2% | 370 | 274 | 23d | LOCAL | May 08 |
| 3 | RO | ANTM | 0.02 | 3.9% | 0.74 | 1.00 | 52.0% | 4.90 | 2.69 B | 0.00 B | 2.69 B | 68.30 B | BALANCED | 37.2% | -0.005 | 0.22 | 31 | 60.2% | 519 | 384 | 3d | LOCAL | May 08 |
| 4 | RO | MDKA | 0.02 | 8.4% | 0.27 | 1.00 | 59.7% | 5.71 | 2.35 B | 1.14 B | 3.49 B | 41.29 B | BALANCED | 51.9% | 0.005 | 0.12 | 32 | 52.6% | 497 | 392 | 6d | LOCAL | May 08 |
| 5 | RO | MEDC | 0.01 | 15.0% | 0.12 | 1.00 | 67.6% | 25.60 | 1.26 B | 1.60 B | 2.86 B | 18.98 B | BALANCED | 65.3% | -0.003 | 0.01 | 29 | 51.4% | 361 | 238 | 6d | LOCAL | May 08 |
| 6 | RO | RAJA | 0.01 | 3.7% | 0.40 | 1.00 | 52.8% | 3.91 | 3.37 B | -0.40 B | 2.97 B | 81.19 B | BALANCED | 49.6% | -0.039 | 0.14 | 30 | 50.3% | 447 | 360 | 6d | LOCAL | May 08 |
| 7 | RO | PTRO | 0.01 | 5.5% | 0.23 | 1.00 | 56.8% | 0.80 | 2.74 B | -0.65 B | 2.09 B | 37.79 B | BALANCED | 49.8% | -0.007 | -0.01 | 35 | 56.6% | 399 | 319 | 7d | LOCAL | May 08 |
| 8 | RO | NICL | 0.01 | 4.8% | 0.19 | 0.97 | 56.3% | 1.25 | 2.89 B | -0.22 B | 2.66 B | 55.90 B | BALANCED | 51.1% | 0.111 | -0.06 | 30 | 63.4% | 279 | 206 | 855d | LOCAL | May 08 |
| 9 | RO | ADMR | 0.01 | 6.2% | 0.17 | 1.00 | 54.4% | 19.68 | 1.09 B | -0.00 B | 1.09 B | 17.66 B | BALANCED | 45.9% | -0.003 | 0.02 | 25 | 45.4% | 319 | 217 | 8d | LOCAL | May 08 |
| 10 | RO | HUMI | 0.01 | 17.5% | 0.07 | 1.00 | 46.3% | 7.13 | 1.04 B | -0.06 B | 0.98 B | 5.59 B | BALANCED | 47.7% | -0.025 | 0.11 | 20 | 48.6% | 230 | 134 | 19d | LOCAL | May 08 |
| 11 | RO | TLKM | 0.00 | 1.7% | 0.54 | 1.00 | 43.1% | 3.80 | 1.45 B | 0.00 B | 1.45 B | 86.32 B | BALANCED | 44.2% | 0.000 | 0.00 | 0 | 0.0% | 493 | 359 | 40d | LOCAL | May 08 |
| 12 | RO | SMGA | 0.00 | 1.3% | 0.56 | 0.87 | 43.3% | 2.54 | 2.05 B | 0.00 B | 2.05 B | 152.42 B | BALANCED | 48.1% | 0.000 | 0.00 | 0 | 0.0% | 498 | 425 | 6d | LOCAL | May 08 |
| 13 | RO | BRMS | 0.00 | 1.9% | 0.32 | 1.00 | 57.3% | 2.40 | 1.06 B | -0.11 B | 0.95 B | 49.84 B | BALANCED | 50.3% | -0.017 | 0.12 | 29 | 49.0% | 440 | 379 | 16d | LOCAL | May 08 |
| 14 | RO | KIJA | 0.00 | 0.4% | 1.00 | 0.46 | 49.7% | 3.26 | 5.79 B | -5.34 B | 0.45 B | 124.58 B | BALANCED | 59.5% | -0.019 | -0.02 | 23 | 57.6% | 368 | 307 | 13d | LOCAL | May 08 |
| 15 | RO | DSNG | 0.00 | 2.0% | 0.19 | 0.05 | 49.2% | 2.72 | 1.16 B | 0.95 B | 2.11 B | 106.60 B | BALANCED | 50.9% | 0.010 | 0.22 | 35 | 59.2% | 514 | 478 | 5d | LOCAL | 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