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 | XC | WBSA | 2.53 | 38.8% | 3.61 | 1.00 | 100.0% | 999.00 | 5.58 B | 0.00 B | 5.58 B | 14.38 B | BALANCED | 43.7% | 0.000 | 0.00 | 0 | 0.0% | 13 | 10 | 14d | LOCAL | May 08 |
| 2 | MG | WBSA | 0.88 | 11.9% | 6.47 | 1.00 | 80.0% | 17.84 | 2.79 B | 0.00 B | 2.79 B | 23.47 B | BALANCED | 41.9% | 0.000 | 0.00 | 0 | 0.0% | 13 | 8 | 13d | LOCAL | May 08 |
| 3 | CP | WBSA | 0.45 | 14.9% | 3.16 | 1.00 | 87.5% | 22.51 | 1.15 B | 0.00 B | 1.15 B | 7.77 B | BALANCED | 48.5% | 0.000 | 0.00 | 0 | 0.0% | 13 | 11 | 4d | FOREIGN | May 08 |
| 4 | OD | WBSA | 0.24 | 7.3% | 3.08 | 1.00 | 100.0% | 999.00 | 1.05 B | 0.00 B | 1.05 B | 14.34 B | ACCUMULATOR | 84.3% | 0.000 | 0.00 | 0 | 0.0% | 13 | 13 | 28d | LOCAL | May 08 |
| 5 | YB | WBSA | 0.22 | 16.2% | 1.30 | 1.00 | 100.0% | 999.00 | 1.06 B | 0.00 B | 1.06 B | 6.54 B | ACCUMULATOR | 83.8% | 0.000 | 0.00 | 0 | 0.0% | 13 | 13 | 28d | 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