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 | RS | INTP | 0.07 | 28.6% | 0.40 | 1.00 | 47.8% | 10.00 | 1.70 B | 0.04 B | 1.74 B | 6.09 B | — | 0.006 | 0.16 | 32 | 73.4% | 48 | 23 | 595d | LOCAL | Jun 11 | |
| 2 | CC | INTP | 0.04 | 1.6% | 3.82 | 0.74 | 54.8% | 1.24 | 4.36 B | 6.92 B | 11.29 B | 722.03 B | — | -0.002 | 0.01 | 23 | 56.6% | 630 | 630 | 6d | LOCAL | Sep 07 | |
| 3 | ZP | INTP | 0.03 | 0.8% | 3.83 | 1.00 | 54.1% | 1.23 | 3.73 B | 0.04 B | 3.77 B | 479.47 B | — | 0.016 | 0.04 | 24 | 54.0% | 628 | 601 | 979d | FOREIGN | Sep 07 | |
| 4 | LG | INTP | 0.02 | 2.0% | 1.51 | 1.00 | 53.0% | 1.68 | 1.18 B | 0.72 B | 1.91 B | 97.63 B | — | 0.001 | -0.08 | 24 | 56.8% | 601 | 452 | 8d | LOCAL | Sep 07 | |
| 5 | FZ | INTP | 0.02 | 7.2% | 0.37 | 1.00 | 56.4% | 8.02 | 1.26 B | 0.62 B | 1.87 B | 25.92 B | — | -0.031 | -0.13 | 23 | 62.1% | 271 | 163 | 440d | 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