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
5
matching current filters
Showing
5
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 | PF | SRAJ | 7.15 | 181.8% | 0.97 | 1.00 | 100.0% | 10.00 | 36.50 B | 114.16 B | 150.66 B | 82.89 B | — | -0.070 | 0.47 | 44 | 57.9% | 283 | 142 | 28d | LOCAL | Nov 04 | |
| 2 | PF | ADMR | 0.04 | 7.3% | 0.47 | 1.00 | 70.5% | 5.08 | 2.97 B | 0.00 B | 2.97 B | 40.42 B | — | 0.011 | 0.21 | 28 | 60.4% | 217 | 129 | 15d | LOCAL | Aug 05 | |
| 3 | PF | MDKA | 0.01 | 1.3% | 1.50 | 1.00 | 52.4% | 1.64 | 2.09 B | -0.36 B | 1.73 B | 135.58 B | — | 0.001 | 0.07 | 36 | 62.9% | 253 | 145 | 14d | LOCAL | May 08 | |
| 4 | PF | ANTM | 0.01 | 1.3% | 1.14 | 1.00 | 53.3% | 2.93 | 2.29 B | -0.71 B | 1.58 B | 122.56 B | — | 0.014 | 0.26 | 29 | 54.2% | 288 | 170 | 11d | LOCAL | Jul 27 | |
| 5 | PF | HATM | 0.00 | 1.8% | 0.04 | 0.00 | 75.7% | 6.27 | 1.33 B | -0.01 B | 1.32 B | 72.23 B | — | 0.026 | 0.31 | 30 | 53.6% | 571 | 564 | 4d | LOCAL | Sep 04 |
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