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 | YP | CPIN | 0.05 | 1.1% | 4.50 | 0.94 | 51.6% | 1.29 | 7.81 B | -1.04 B | 6.77 B | 593.82 B | BALANCED | 52.3% | 0.002 | 0.02 | 29 | 58.2% | 554 | 554 | 83d | FOREIGN | May 08 |
| 2 | SQ | CPIN | 0.01 | 0.7% | 2.72 | 1.00 | 48.3% | 2.09 | 2.14 B | -0.11 B | 2.03 B | 309.48 B | BALANCED | 49.0% | 0.006 | 0.04 | 29 | 57.9% | 554 | 551 | 16d | LOCAL | May 08 |
| 3 | KK | CPIN | 0.00 | 0.6% | 1.05 | 0.99 | 44.3% | 0.63 | 1.85 B | -0.93 B | 0.92 B | 149.84 B | BALANCED | 51.9% | 0.002 | 0.06 | 30 | 57.3% | 554 | 548 | 32d | FOREIGN | May 08 |
| 4 | XL | CPIN | 0.00 | 0.0% | 1.59 | 0.82 | 44.6% | 0.91 | 1.36 B | -1.30 B | 0.06 B | 280.59 B | BALANCED | 52.7% | 0.006 | -0.02 | 30 | 56.5% | 554 | 554 | 43d | 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