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 | PD | MMLP | 0.06 | 5.2% | 1.13 | 1.00 | 54.1% | 3.59 | 6.37 B | -0.03 B | 6.34 B | 122.53 B | BALANCED | 41.6% | 0.005 | -0.04 | 30 | 48.9% | 546 | 510 | 2d | LOCAL | May 08 |
| 2 | YU | MMLP | 0.04 | 5.0% | 0.43 | 1.00 | 90.6% | 16.68 | 7.82 B | -5.49 B | 2.33 B | 46.49 B | BALANCED | 48.9% | 0.025 | 0.01 | 32 | 60.3% | 284 | 159 | 54d | FOREIGN | Apr 27 |
| 3 | SA | MMLP | 0.02 | 1.5% | 0.87 | 1.00 | 93.3% | 5.13 | 2.53 B | -2.21 B | 0.32 B | 20.91 B | BALANCED | 50.2% | 0.024 | -0.19 | 45 | 52.4% | 66 | 30 | 596d | LOCAL | Jan 20 |
| 4 | AI | MMLP | 0.01 | 5.0% | 0.35 | 1.00 | 63.9% | 0.29 | 1.00 B | -0.38 B | 0.62 B | 12.43 B | DISTRIBUTOR | 26.6% | -0.016 | 0.09 | 25 | 40.4% | 131 | 72 | 94d | FOREIGN | Apr 23 |
| 5 | AZ | MMLP | 0.00 | 2.3% | 0.28 | 1.00 | 64.2% | 17.87 | 1.25 B | -0.25 B | 1.00 B | 42.76 B | BALANCED | 50.4% | -0.005 | -0.04 | 29 | 52.5% | 428 | 286 | 152d | 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