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 | IH | CBDK | 0.03 | 6.3% | 0.78 | 1.00 | 46.9% | 3.05 | 1.55 B | 0.10 B | 1.65 B | 26.20 B | — | 0.003 | -0.13 | 21 | 45.5% | 126 | 81 | 4d | LOCAL | Jul 30 | |
| 2 | RX | CBDK | 0.02 | 1.8% | 2.25 | 1.00 | 42.9% | 6.14 | 1.88 B | -1.66 B | 0.22 B | 12.12 B | — | -0.129 | -0.37 | 15 | 35.0% | 24 | 7 | 4d | FOREIGN | May 06 | |
| 3 | SF | CBDK | 0.02 | 6.8% | 0.36 | 1.00 | 67.3% | 6.53 | 1.78 B | -0.03 B | 1.75 B | 25.71 B | — | 0.002 | -0.00 | 26 | 44.8% | 194 | 113 | 22d | LOCAL | Sep 03 | |
| 4 | YB | CBDK | 0.01 | 1.0% | 3.05 | 0.83 | 20.4% | 1.66 | 8.61 B | -5.21 B | 3.41 B | 349.27 B | — | 0.018 | -0.12 | 22 | 47.0% | 385 | 378 | 14d | LOCAL | Sep 07 | |
| 5 | FS | CBDK | 0.00 | 1.5% | 0.52 | 0.98 | 39.2% | 1.31 | 1.24 B | -0.41 B | 0.83 B | 56.40 B | — | -0.018 | -0.09 | 22 | 43.4% | 288 | 245 | 6d | FOREIGN | Sep 03 |
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