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 | PO | BEKS | 0.14 | 62.7% | 0.17 | 1.00 | 100.0% | 50.48 | 1.86 B | 0.02 B | 1.88 B | 3.00 B | BALANCED | 36.3% | -0.058 | -0.10 | 25 | 48.5% | 63 | 39 | 238d | LOCAL | May 08 |
| 2 | MU | BEKS | 0.11 | 29.3% | 0.31 | 1.00 | 74.4% | 7.30 | 4.03 B | -0.22 B | 3.81 B | 13.02 B | BALANCED | 60.5% | 0.043 | 0.20 | 28 | 60.6% | 105 | 82 | 106d | LOCAL | Apr 15 |
| 3 | YJ | BEKS | 0.01 | 10.9% | 0.10 | 1.00 | 50.0% | 28.48 | 1.31 B | -0.18 B | 1.13 B | 10.35 B | BALANCED | 54.7% | 0.010 | -0.16 | 26 | 56.8% | 307 | 139 | 59d | LOCAL | May 08 |
| 4 | MG | BEKS | 0.00 | 3.5% | 0.26 | 1.00 | 41.1% | 2.84 | 1.06 B | -0.01 B | 1.05 B | 30.05 B | BALANCED | 49.5% | 0.028 | 0.02 | 26 | 57.7% | 368 | 273 | 11d | LOCAL | 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