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 | QA | KDTN | 3.08 | 151.1% | 0.93 | 1.00 | 64.1% | 10.00 | 25.98 B | -0.46 B | 25.52 B | 16.88 B | — | 0.005 | 0.11 | 14 | 42.9% | 175 | 117 | 6d | LOCAL | Sep 07 | |
| 2 | IF | KDTN | 0.91 | 109.7% | 0.36 | 1.00 | 88.7% | 9.95 | 13.89 B | -0.00 B | 13.89 B | 12.66 B | — | -0.045 | 0.11 | 34 | 42.8% | 384 | 194 | 354d | LOCAL | Sep 07 | |
| 3 | LG | KDTN | 0.13 | 54.3% | 0.20 | 1.00 | 64.0% | 10.00 | 5.62 B | 0.00 B | 5.63 B | 10.36 B | — | 0.156 | 0.19 | 24 | 45.6% | 167 | 125 | 10d | LOCAL | Sep 07 | |
| 4 | ZP | KDTN | 0.05 | 23.1% | 0.20 | 1.00 | 61.8% | 10.00 | 4.23 B | -1.96 B | 2.26 B | 9.82 B | — | -0.076 | 0.12 | 16 | 39.8% | 147 | 89 | 79d | FOREIGN | Sep 03 | |
| 5 | CP | KDTN | 0.00 | 10.5% | 0.13 | 1.00 | 24.3% | 2.43 | 2.12 B | 0.05 B | 2.17 B | 20.60 B | — | 0.029 | 0.16 | 23 | 51.0% | 253 | 207 | 22d | 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