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
6
matching current filters
Showing
6
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 | GR | HRUM | 0.07 | 5.3% | 1.60 | 0.96 | 30.2% | 2.42 | 14.96 B | -0.11 B | 14.85 B | 279.73 B | — | 0.000 | -0.08 | 27 | 54.3% | 630 | 625 | 16d | LOCAL | Sep 07 | |
| 2 | KI | HRUM | 0.06 | 3.5% | 1.64 | 0.84 | 48.9% | 1.97 | 13.02 B | 0.41 B | 13.43 B | 380.90 B | — | 0.008 | -0.04 | 28 | 55.0% | 623 | 605 | 26d | LOCAL | Sep 04 | |
| 3 | FZ | HRUM | 0.02 | 9.1% | 0.30 | 1.00 | 42.7% | 4.79 | 2.20 B | 0.02 B | 2.22 B | 24.45 B | — | -0.016 | -0.05 | 26 | 46.6% | 277 | 178 | 14d | LOCAL | Sep 01 | |
| 4 | BB | HRUM | 0.01 | 0.8% | 2.79 | 1.00 | 50.0% | 1.59 | 2.20 B | -1.00 B | 1.20 B | 157.24 B | — | 0.021 | -0.04 | 32 | 50.2% | 222 | 117 | 54d | LOCAL | Aug 31 | |
| 5 | NI | HRUM | 0.00 | 0.6% | 1.58 | 0.66 | 38.1% | 1.11 | 1.18 B | 0.94 B | 2.12 B | 363.55 B | — | -0.008 | 0.01 | 26 | 50.3% | 630 | 630 | 17d | LOCAL | Sep 07 | |
| 6 | KK | HRUM | 0.00 | 0.6% | 1.16 | 0.65 | 33.0% | 1.12 | 1.15 B | 0.54 B | 1.69 B | 289.83 B | — | 0.002 | -0.00 | 27 | 52.4% | 630 | 630 | 18d | 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