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 | YJ | BEST | 0.03 | 13.6% | 0.28 | 1.00 | 57.7% | 10.00 | 2.18 B | 0.41 B | 2.59 B | 19.02 B | — | -0.010 | -0.15 | 20 | 46.6% | 264 | 123 | 45d | LOCAL | Sep 07 | |
| 2 | SQ | BEST | 0.02 | 14.7% | 0.24 | 1.00 | 42.4% | 4.15 | 2.31 B | 3.31 B | 5.62 B | 38.34 B | — | 0.008 | -0.02 | 23 | 57.0% | 615 | 523 | 26d | LOCAL | Sep 07 | |
| 3 | AZ | BEST | 0.01 | 11.3% | 0.24 | 1.00 | 44.0% | 3.47 | 1.39 B | 3.11 B | 4.50 B | 39.74 B | — | -0.006 | -0.05 | 22 | 55.0% | 580 | 470 | 2d | LOCAL | Sep 07 | |
| 4 | GR | BEST | 0.01 | 7.1% | 0.26 | 1.00 | 46.6% | 3.41 | 1.37 B | 1.00 B | 2.37 B | 33.30 B | — | -0.001 | -0.12 | 23 | 54.5% | 585 | 458 | 7d | LOCAL | Sep 07 | |
| 5 | YP | BEST | 0.00 | 1.6% | 0.48 | 0.74 | 39.3% | 1.47 | 1.58 B | 0.00 B | 1.58 B | 98.12 B | — | 0.003 | -0.15 | 23 | 55.6% | 631 | 629 | 6d | 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