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 | LG | OMED | 0.13 | 10.1% | 1.30 | 1.00 | 43.3% | 1.99 | 11.28 B | 16.14 B | 27.42 B | 272.17 B | — | -0.011 | -0.06 | 26 | 61.0% | 464 | 232 | 12d | LOCAL | Sep 07 | |
| 2 | TP | OMED | 0.03 | 7.4% | 0.38 | 1.00 | 71.8% | 3.73 | 2.23 B | 0.69 B | 2.92 B | 39.32 B | — | 0.013 | 0.06 | 32 | 58.0% | 213 | 124 | 131d | FOREIGN | Sep 07 | |
| 3 | CC | OMED | 0.02 | 4.3% | 0.48 | 1.00 | 50.3% | 2.01 | 3.60 B | 1.16 B | 4.76 B | 109.50 B | — | 0.003 | -0.00 | 32 | 61.0% | 621 | 573 | 4d | LOCAL | Sep 07 | |
| 4 | AT | OMED | 0.01 | 4.5% | 0.20 | 1.00 | 67.8% | 10.00 | 2.29 B | 0.08 B | 2.37 B | 52.63 B | — | 0.006 | 0.04 | 31 | 60.5% | 480 | 302 | 3d | LOCAL | Sep 07 | |
| 5 | AZ | OMED | 0.01 | 4.9% | 0.24 | 1.00 | 52.1% | 1.69 | 1.39 B | 1.10 B | 2.49 B | 50.46 B | — | -0.001 | -0.01 | 31 | 58.8% | 505 | 349 | 979d | LOCAL | 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