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 | SQ | WINS | 0.06 | 14.8% | 0.59 | 1.00 | 53.8% | 0.95 | 1.54 B | 9.18 B | 10.71 B | 72.56 B | BALANCED | 55.3% | -0.002 | -0.12 | 28 | 57.0% | 530 | 416 | 36d | LOCAL | May 08 |
| 2 | IF | WINS | 0.03 | 17.7% | 0.27 | 1.00 | 65.1% | 487.53 | 1.05 B | 4.19 B | 5.24 B | 29.57 B | BALANCED | 54.3% | -0.000 | -0.03 | 29 | 59.7% | 313 | 186 | 5d | LOCAL | May 08 |
| 3 | KI | WINS | 0.02 | 11.2% | 0.30 | 1.00 | 68.0% | 25.07 | 1.08 B | 0.00 B | 1.08 B | 9.64 B | DISTRIBUTOR | 17.9% | 0.014 | -0.06 | 31 | 63.3% | 333 | 170 | 40d | LOCAL | May 08 |
| 4 | YU | WINS | 0.02 | 6.4% | 0.42 | 1.00 | 50.0% | 4.79 | 2.11 B | 0.84 B | 2.95 B | 46.18 B | BALANCED | 33.1% | -0.005 | 0.00 | 29 | 57.9% | 421 | 301 | 5d | FOREIGN | May 07 |
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