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 | AO | DMMX | 0.04 | 32.4% | 0.13 | 1.00 | 73.6% | 10.00 | 1.70 B | -0.25 B | 1.45 B | 4.48 B | — | 0.046 | 0.03 | 33 | 40.4% | 109 | 72 | 3d | LOCAL | Aug 10 | |
| 2 | DH | DMMX | 0.02 | 52.0% | 0.05 | 1.00 | 62.6% | 10.00 | 2.03 B | -0.00 B | 2.03 B | 3.90 B | — | -0.002 | 0.02 | 23 | 45.7% | 499 | 369 | 3d | LOCAL | Sep 07 | |
| 3 | YP | DMMX | 0.01 | 4.0% | 0.25 | 0.61 | 57.1% | 2.35 | 7.40 B | -3.03 B | 4.37 B | 110.32 B | — | 0.015 | 0.09 | 26 | 50.1% | 621 | 608 | 184d | FOREIGN | Sep 07 | |
| 4 | CC | DMMX | 0.00 | 2.8% | 0.17 | 0.81 | 44.8% | 2.62 | 2.08 B | -0.06 B | 2.02 B | 73.46 B | — | 0.012 | 0.01 | 27 | 49.1% | 618 | 611 | 3d | LOCAL | Sep 07 | |
| 5 | AZ | DMMX | 0.00 | 0.9% | 0.09 | 1.00 | 72.5% | 2.97 | 1.72 B | -1.57 B | 0.14 B | 16.69 B | — | 0.012 | 0.06 | 31 | 48.4% | 520 | 425 | 32d | LOCAL | 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