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 | ZP | DOID | 0.04 | 6.9% | 0.67 | 1.00 | 39.3% | 1.74 | 6.77 B | -0.57 B | 6.20 B | 89.31 B | — | 0.021 | 0.04 | 24 | 58.9% | 592 | 489 | 5d | FOREIGN | Sep 07 | |
| 2 | AK | DOID | 0.02 | 2.5% | 0.98 | 1.00 | 57.5% | 3.21 | 2.80 B | 0.00 B | 2.80 B | 109.69 B | — | 0.001 | -0.01 | 22 | 54.8% | 623 | 567 | 5d | FOREIGN | Sep 07 | |
| 3 | LG | DOID | 0.02 | 1.7% | 1.84 | 1.00 | 42.8% | 1.41 | 2.58 B | 0.00 B | 2.58 B | 149.88 B | — | 0.014 | -0.03 | 28 | 60.2% | 613 | 539 | 135d | LOCAL | Sep 07 | |
| 4 | AI | DOID | 0.01 | 10.2% | 0.20 | 1.00 | 47.9% | 6.22 | 2.71 B | -0.57 B | 2.14 B | 21.03 B | — | -0.016 | 0.02 | 23 | 56.3% | 481 | 331 | 28d | FOREIGN | 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