Smart Money · per-pair browser · obs May 08
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 | HP | BHIT | 0.03 | 61.2% | 0.06 | 1.00 | 68.5% | 15.86 | 1.59 B | 0.00 B | 1.59 B | 2.60 B | DISTRIBUTOR | 24.1% | 0.012 | 0.37 | 16 | 52.9% | 350 | 156 | 103d | LOCAL | May 07 |
| 2 | MG | BHIT | 0.01 | 9.8% | 0.11 | 1.00 | 54.6% | 2.38 | 1.51 B | 0.00 B | 1.51 B | 15.48 B | BALANCED | 47.3% | 0.029 | 0.36 | 22 | 47.4% | 336 | 207 | 6d | LOCAL | May 07 |
| 3 | YJ | BHIT | 0.00 | 6.5% | 0.10 | 1.00 | 55.6% | 49.20 | 1.38 B | -0.50 B | 0.87 B | 13.33 B | BALANCED | 48.5% | 0.043 | 0.18 | 20 | 47.3% | 299 | 137 | 6d | LOCAL | May 08 |
| 4 | CP | BHIT | 0.00 | 1.8% | 0.16 | 1.00 | 36.5% | 3.29 | 1.44 B | -1.06 B | 0.38 B | 20.89 B | BALANCED | 68.4% | 0.012 | 0.29 | 21 | 50.9% | 378 | 243 | 92d | FOREIGN | May 08 |
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