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 | AZ | CLAY | 0.03 | 25.6% | 0.14 | 1.00 | 73.3% | 4.68 | 1.86 B | 0.00 B | 1.86 B | 7.27 B | BALANCED | 44.2% | -0.006 | 0.06 | 32 | 52.2% | 225 | 146 | 373d | LOCAL | May 07 |
| 2 | PC | CLAY | 0.03 | 29.4% | 0.10 | 1.00 | 84.2% | 15.67 | 1.61 B | 0.01 B | 1.61 B | 5.49 B | BALANCED | 45.9% | -0.020 | 0.11 | 32 | 51.8% | 189 | 95 | 379d | LOCAL | May 06 |
| 3 | RG | CLAY | 0.02 | 38.7% | 0.08 | 1.00 | 76.7% | 11.31 | 1.16 B | 0.01 B | 1.17 B | 3.02 B | BALANCED | 45.6% | 0.035 | 0.10 | 32 | 53.1% | 136 | 60 | 218d | LOCAL | May 08 |
| 4 | YJ | CLAY | 0.02 | 29.0% | 0.08 | 1.00 | 80.2% | 6.36 | 1.37 B | 0.00 B | 1.37 B | 4.73 B | BALANCED | 44.7% | 0.001 | 0.09 | 32 | 49.1% | 200 | 92 | 6d | LOCAL | May 08 |
| 5 | SA | CLAY | 0.02 | 42.6% | 0.07 | 1.00 | 64.2% | 4.19 | 1.01 B | 0.00 B | 1.01 B | 2.37 B | BALANCED | 43.2% | -0.053 | 0.14 | 31 | 51.2% | 110 | 53 | 151d | LOCAL | Apr 15 |
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