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 | IF | LIVE | 0.08 | 10.8% | 0.79 | 1.00 | 40.6% | 3.94 | 11.58 B | -0.43 B | 11.15 B | 102.90 B | — | 0.012 | -0.09 | 30 | 59.2% | 442 | 387 | 32d | LOCAL | Sep 04 | |
| 2 | YU | LIVE | 0.01 | 16.2% | 0.10 | 1.00 | 48.4% | 6.21 | 1.47 B | -0.16 B | 1.31 B | 8.06 B | — | -0.023 | -0.15 | 29 | 55.3% | 243 | 159 | 136d | FOREIGN | Sep 03 | |
| 3 | ZP | LIVE | 0.00 | 3.7% | 0.15 | 1.00 | 50.2% | 2.03 | 1.13 B | -0.20 B | 0.93 B | 25.33 B | — | -0.005 | -0.09 | 29 | 57.2% | 372 | 277 | 6d | FOREIGN | Sep 07 | |
| 4 | CC | LIVE | 0.00 | 2.5% | 0.24 | 0.99 | 32.7% | 1.55 | 2.62 B | -0.70 B | 1.93 B | 76.00 B | — | 0.017 | 0.03 | 32 | 61.8% | 590 | 566 | 938d | LOCAL | Sep 07 | |
| 5 | PD | LIVE | 0.00 | 2.4% | 0.16 | 0.98 | 30.1% | 1.73 | 1.41 B | -0.23 B | 1.18 B | 49.32 B | — | 0.008 | -0.10 | 30 | 59.5% | 598 | 588 | 12d | 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