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
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 | YU | BLTA | 0.25 | 112.5% | 0.21 | 1.00 | 64.8% | 10.00 | 4.08 B | -0.01 B | 4.06 B | 3.61 B | — | -0.037 | -0.17 | 22 | 44.9% | 157 | 89 | 318d | FOREIGN | Sep 07 | |
| 2 | GR | BLTA | 0.02 | 21.8% | 0.12 | 1.00 | 66.7% | 8.20 | 1.64 B | 0.00 B | 1.64 B | 7.49 B | — | -0.003 | -0.16 | 24 | 52.6% | 375 | 231 | 16d | LOCAL | Sep 07 | |
| 3 | TP | BLTA | 0.02 | 17.3% | 0.11 | 1.00 | 73.6% | 10.00 | 1.39 B | 0.41 B | 1.81 B | 10.43 B | — | 0.028 | -0.19 | 24 | 59.0% | 356 | 53 | 14d | FOREIGN | Sep 03 | |
| 4 | CP | BLTA | 0.00 | 12.0% | 0.09 | 1.00 | 37.1% | 4.20 | 1.25 B | -0.15 B | 1.11 B | 9.23 B | — | 0.021 | -0.14 | 22 | 48.6% | 311 | 188 | 18d | FOREIGN | Sep 04 |
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