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
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 | EP | GJTL | 0.03 | 4.5% | 0.77 | 0.99 | 46.5% | 0.75 | 4.14 B | 0.72 B | 4.86 B | 108.82 B | BALANCED | 53.0% | 0.010 | -0.06 | 31 | 54.0% | 554 | 542 | 19d | LOCAL | May 08 |
| 2 | GR | GJTL | 0.01 | 2.5% | 1.10 | 1.00 | 34.3% | 9.90 | 1.47 B | 3.13 B | 4.59 B | 181.00 B | BALANCED | 53.9% | 0.004 | -0.11 | 33 | 54.9% | 553 | 533 | 7d | LOCAL | May 08 |
| 3 | CC | GJTL | 0.00 | 0.8% | 1.27 | 0.37 | 50.7% | 2.25 | 2.96 B | 0.18 B | 3.14 B | 412.54 B | BALANCED | 48.0% | 0.002 | 0.02 | 32 | 55.5% | 554 | 554 | 3d | LOCAL | May 08 |
| 4 | XL | GJTL | 0.00 | 1.2% | 1.04 | 0.24 | 40.1% | 0.99 | 1.72 B | 1.40 B | 3.12 B | 264.28 B | BALANCED | 49.1% | -0.001 | -0.04 | 33 | 55.1% | 554 | 554 | 6d | LOCAL | May 08 |
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