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 | IN | MSJA | 0.01 | 2.2% | 0.49 | 1.00 | 57.9% | 4.05 | 1.44 B | -0.06 B | 1.38 B | 64.05 B | BALANCED | 45.9% | 0.016 | 0.30 | 30 | 59.2% | 214 | 159 | 3d | LOCAL | May 08 |
| 2 | PD | MSJA | 0.00 | 5.1% | 0.10 | 1.00 | 47.7% | 3.11 | 1.61 B | 0.01 B | 1.62 B | 31.48 B | BALANCED | 48.7% | 0.005 | -0.04 | 29 | 58.6% | 512 | 442 | 8d | LOCAL | May 08 |
| 3 | CC | MSJA | 0.00 | 2.3% | 0.30 | 0.99 | 34.0% | 16.66 | 1.64 B | 0.29 B | 1.93 B | 83.08 B | BALANCED | 52.3% | -0.000 | 0.11 | 31 | 60.0% | 537 | 515 | 13d | LOCAL | May 08 |
| 4 | AZ | MSJA | 0.00 | 1.2% | 0.56 | 0.51 | 45.6% | 2.24 | 2.03 B | -0.00 B | 2.03 B | 166.44 B | BALANCED | 49.4% | 0.007 | 0.24 | 31 | 61.1% | 405 | 364 | 3d | 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