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
6
matching current filters
Showing
6
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 | MG | DAAZ | 0.02 | 3.6% | 1.18 | 1.00 | 26.2% | 2.40 | 8.83 B | -1.67 B | 7.17 B | 200.89 B | — | 0.073 | 0.18 | 15 | 46.5% | 360 | 302 | 14d | LOCAL | Sep 07 | |
| 2 | IN | DAAZ | 0.02 | 3.8% | 1.10 | 1.00 | 35.7% | 1.78 | 1.95 B | -0.01 B | 1.94 B | 50.67 B | — | 0.019 | 0.00 | 16 | 29.7% | 140 | 113 | 12d | LOCAL | Apr 14 | |
| 3 | AF | DAAZ | 0.02 | 33.2% | 0.17 | 0.56 | 52.6% | 10.00 | 1.15 B | -0.03 B | 1.13 B | 3.40 B | — | 0.127 | 0.25 | 21 | 32.8% | 70 | 59 | 21d | LOCAL | Aug 04 | |
| 4 | CP | DAAZ | 0.01 | 1.9% | 1.28 | 0.94 | 17.2% | 1.73 | 10.67 B | -4.55 B | 6.12 B | 317.92 B | — | 0.003 | 0.05 | 16 | 43.8% | 396 | 350 | 6d | FOREIGN | Sep 03 | |
| 5 | XA | DAAZ | 0.00 | 3.0% | 0.24 | 1.00 | 22.7% | 1.41 | 1.36 B | -0.04 B | 1.31 B | 43.64 B | — | 0.002 | 0.07 | 14 | 34.1% | 321 | 270 | 82d | FOREIGN | Sep 02 | |
| 6 | YP | DAAZ | 0.00 | 0.5% | 0.97 | 0.55 | 17.6% | 1.22 | 1.31 B | -0.12 B | 1.19 B | 242.50 B | — | 0.023 | 0.06 | 16 | 48.4% | 424 | 416 | 12d | 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