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 | LPKR | 0.02 | 1.5% | 2.21 | 1.00 | 33.7% | 1.38 | 3.82 B | -0.00 B | 3.82 B | 253.42 B | — | 0.009 | -0.11 | 21 | 55.3% | 569 | 458 | 302d | FOREIGN | Sep 07 | |
| 2 | BK | LPKR | 0.01 | 2.0% | 0.65 | 1.00 | 38.9% | 1.95 | 1.77 B | -0.20 B | 1.57 B | 79.23 B | — | -0.001 | -0.04 | 21 | 49.2% | 481 | 357 | 287d | FOREIGN | Sep 07 | |
| 3 | IF | LPKR | 0.00 | 1.9% | 0.26 | 1.00 | 49.1% | 2.35 | 1.05 B | -0.52 B | 0.54 B | 27.80 B | — | 0.003 | 0.01 | 20 | 49.6% | 424 | 285 | 17d | LOCAL | Sep 07 | |
| 4 | HD | LPKR | 0.00 | 1.8% | 0.10 | 0.10 | 30.6% | 2.78 | 1.61 B | -0.01 B | 1.60 B | 88.25 B | — | -0.003 | -0.17 | 19 | 49.7% | 462 | 422 | 4d | 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