Smart Money · per-pair browser · obs May 08
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 | AF | NCKL | 4.92 | 19.8% | 6.04 | 1.00 | 78.3% | 320.01 | 60.27 B | 43.60 B | 103.87 B | 524.94 B | BALANCED | 39.7% | 0.003 | 0.06 | 25 | 51.6% | 318 | 138 | 12d | LOCAL | May 08 |
| 2 | AF | MDKA | 0.03 | 13.3% | 0.20 | 1.00 | 77.7% | 61.35 | 1.91 B | 0.03 B | 1.94 B | 14.55 B | BALANCED | 48.8% | 0.037 | 0.24 | 38 | 58.6% | 210 | 121 | 8d | LOCAL | May 08 |
| 3 | AF | TLKM | 0.02 | 4.1% | 0.76 | 1.00 | 60.0% | 50.71 | 1.79 B | 0.00 B | 1.79 B | 43.67 B | DISTRIBUTOR | 28.4% | 0.000 | 0.00 | 0 | 0.0% | 184 | 70 | 24d | LOCAL | May 08 |
| 4 | AF | DAAZ | 0.02 | 33.4% | 0.17 | 0.56 | 52.6% | 3.78 | 1.15 B | -0.02 B | 1.13 B | 3.40 B | BALANCED | 50.0% | 0.113 | 0.25 | 21 | 42.9% | 70 | 59 | 21d | LOCAL | Aug 04 |
| 5 | AF | RAJA | 0.01 | 9.4% | 0.13 | 1.00 | 50.6% | 7.98 | 1.13 B | 0.06 B | 1.19 B | 12.64 B | BALANCED | 51.5% | -0.051 | 0.03 | 28 | 47.8% | 211 | 160 | 6d | LOCAL | May 05 |
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