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 | AZ | MAPA | 0.08 | 3.5% | 2.32 | 1.00 | 51.0% | 1.70 | 6.45 B | 4.56 B | 11.01 B | 311.52 B | — | 0.018 | -0.02 | 22 | 51.5% | 620 | 590 | 94d | LOCAL | Sep 07 | |
| 2 | AI | MAPA | 0.08 | 4.9% | 1.49 | 1.00 | 60.1% | 5.22 | 5.40 B | 1.45 B | 6.86 B | 140.76 B | — | 0.007 | -0.02 | 24 | 48.5% | 565 | 444 | 112d | FOREIGN | Sep 07 | |
| 3 | YP | MAPA | 0.02 | 2.3% | 1.79 | 0.46 | 50.4% | 1.48 | 5.76 B | 4.34 B | 10.10 B | 442.76 B | — | 0.006 | -0.12 | 25 | 54.1% | 631 | 631 | 304d | FOREIGN | Sep 07 | |
| 4 | XL | MAPA | 0.01 | 1.8% | 1.18 | 0.47 | 38.7% | 1.51 | 4.99 B | 0.69 B | 5.67 B | 317.61 B | — | 0.005 | 0.01 | 25 | 52.6% | 631 | 631 | 3d | LOCAL | Sep 07 | |
| 5 | KK | MAPA | 0.00 | 1.9% | 0.43 | 0.97 | 39.5% | 1.68 | 1.55 B | 0.24 B | 1.79 B | 94.60 B | — | -0.000 | -0.01 | 24 | 51.9% | 630 | 621 | 5d | 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