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
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 | AF | NCKL | 2.45 | 12.3% | 5.40 | 1.00 | 70.1% | 10.00 | 60.18 B | 5.49 B | 65.67 B | 534.28 B | — | 0.001 | 0.06 | 25 | 53.0% | 361 | 164 | 12d | LOCAL | Aug 31 | |
| 2 | AF | MDKA | 0.02 | 11.7% | 0.20 | 1.00 | 76.3% | 10.00 | 1.97 B | 0.03 B | 2.00 B | 17.07 B | — | 0.040 | 0.19 | 38 | 57.4% | 235 | 135 | 8d | LOCAL | Aug 27 | |
| 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 | AF | TLKM | 0.02 | 3.8% | 0.67 | 1.00 | 55.6% | 9.32 | 1.79 B | -0.08 B | 1.71 B | 44.81 B | — | -0.010 | -0.12 | 26 | 61.0% | 213 | 81 | 24d | LOCAL | Sep 02 |
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