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 | BF | AMMN | 0.71 | 14.6% | 2.27 | 1.00 | 93.3% | 10.00 | 10.58 B | -0.02 B | 10.56 B | 72.48 B | — | 0.038 | 0.25 | 27 | 61.3% | 111 | 46 | 4d | LOCAL | Aug 31 | |
| 2 | BF | BUMI | 0.55 | 19.9% | 2.62 | 1.00 | 61.8% | 10.00 | 4.60 B | 0.08 B | 4.68 B | 23.44 B | — | -0.021 | -0.01 | 26 | 49.8% | 172 | 89 | 273d | LOCAL | Aug 28 | |
| 3 | BF | HRTA | 0.25 | 84.2% | 0.29 | 1.00 | 100.0% | 10.00 | 1.02 B | 0.00 B | 1.02 B | 1.21 B | — | 0.069 | 0.59 | 45 | 61.0% | 15 | 7 | 119d | LOCAL | Aug 27 | |
| 4 | BF | BRMS | 0.20 | 0.7% | 8.53 | 1.00 | 58.3% | 5.58 | 64.55 B | -59.09 B | 5.46 B | 744.59 B | — | -0.009 | 0.21 | 29 | 51.5% | 310 | 175 | 8d | LOCAL | Sep 02 | |
| 5 | BF | BREN | 0.02 | 2.7% | 0.69 | 1.00 | 75.3% | 6.58 | 1.18 B | -0.09 B | 1.10 B | 40.14 B | — | 0.010 | 0.07 | 35 | 49.1% | 127 | 77 | 8d | LOCAL | 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