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
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 | KK | SGER | 0.00 | 3.5% | 0.28 | 0.95 | 19.7% | 2.67 | 1.95 B | -0.24 B | 1.71 B | 48.82 B | BALANCED | 50.2% | 0.009 | 0.03 | 24 | 55.9% | 553 | 533 | 10d | FOREIGN | May 08 |
| 2 | CC | SGER | 0.00 | 2.1% | 0.75 | 0.33 | 20.6% | 2.79 | 6.19 B | -0.76 B | 5.43 B | 262.90 B | BALANCED | 50.1% | 0.015 | 0.06 | 25 | 58.7% | 554 | 554 | 6d | LOCAL | May 08 |
| 3 | DR | SGER | 0.00 | 2.3% | 0.18 | 1.00 | 24.7% | 3.69 | 1.41 B | -0.47 B | 0.94 B | 40.60 B | BALANCED | 51.3% | 0.003 | -0.02 | 22 | 54.8% | 539 | 482 | 8d | FOREIGN | May 08 |
| 4 | XL | SGER | 0.00 | 1.5% | 0.76 | 0.21 | 16.4% | 2.19 | 4.89 B | -0.81 B | 4.08 B | 265.07 B | BALANCED | 50.2% | 0.001 | -0.03 | 25 | 54.7% | 554 | 554 | 12d | LOCAL | May 08 |
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