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
4
matching current filters
Showing
4
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 | IT | UNTR | 0.02 | 4.2% | 0.50 | 1.00 | 68.4% | 7.01 | 1.91 B | 0.01 B | 1.91 B | 46.08 B | — | 0.002 | 0.05 | 32 | 50.9% | 388 | 212 | 8d | LOCAL | Sep 07 | |
| 2 | IT | NCKL | 0.02 | 6.2% | 0.31 | 1.00 | 67.8% | 8.12 | 2.21 B | -0.21 B | 2.00 B | 32.59 B | — | 0.017 | 0.03 | 29 | 47.0% | 267 | 143 | 9d | LOCAL | Sep 01 | |
| 3 | IT | ANTM | 0.01 | 6.3% | 0.24 | 1.00 | 80.5% | 10.00 | 1.30 B | 0.07 B | 1.37 B | 21.62 B | — | 0.001 | 0.17 | 30 | 55.6% | 283 | 154 | 8d | LOCAL | Sep 07 | |
| 4 | IT | NISP | 0.00 | 0.3% | 0.51 | 1.00 | 78.4% | 10.00 | 1.73 B | -1.61 B | 0.12 B | 42.35 B | — | 0.003 | 0.03 | 26 | 49.6% | 310 | 116 | 245d | LOCAL | Sep 03 |
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