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 | AI | LPPF | 0.26 | 18.7% | 1.28 | 1.00 | 48.7% | 0.48 | 9.36 B | -0.00 B | 9.36 B | 49.93 B | DISTRIBUTOR | 6.3% | 0.012 | -0.09 | 26 | 51.3% | 277 | 119 | 6d | FOREIGN | Apr 29 |
| 2 | YU | LPPF | 0.21 | 13.0% | 1.20 | 1.00 | 61.5% | 6.33 | 9.30 B | -0.00 B | 9.29 B | 71.58 B | BALANCED | 42.1% | 0.001 | -0.07 | 33 | 53.3% | 477 | 338 | 234d | FOREIGN | May 06 |
| 3 | LG | LPPF | 0.01 | 2.2% | 0.44 | 1.00 | 61.8% | 11.10 | 1.57 B | -0.20 B | 1.37 B | 61.51 B | ACCUMULATOR | 79.7% | 0.003 | -0.00 | 32 | 54.9% | 525 | 408 | 3d | LOCAL | May 08 |
| 4 | AZ | LPPF | 0.00 | 4.2% | 0.19 | 1.00 | 53.0% | 7.75 | 1.01 B | -0.04 B | 0.97 B | 22.92 B | BALANCED | 45.9% | -0.002 | 0.00 | 31 | 54.2% | 497 | 368 | 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