Smart Money · per-pair browser · obs Sep 07
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 | 0.07 | 10.6% | 0.69 | 1.00 | 59.0% | 5.45 | 3.76 B | 4.12 B | 7.88 B | 74.10 B | — | -0.001 | -0.14 | 29 | 50.0% | 600 | 471 | 36d | LOCAL | Sep 07 | |
| 2 | IF | WINS | 0.04 | 16.3% | 0.28 | 1.00 | 67.8% | 5.42 | 1.65 B | 3.67 B | 5.32 B | 32.62 B | — | 0.001 | -0.12 | 30 | 52.3% | 350 | 202 | 5d | LOCAL | Sep 07 | |
| 3 | KI | WINS | 0.03 | 11.9% | 0.33 | 1.00 | 69.1% | 10.00 | 1.09 B | 0.98 B | 2.06 B | 17.27 B | — | 0.017 | -0.11 | 31 | 57.1% | 373 | 182 | 40d | LOCAL | Aug 28 | |
| 4 | YU | WINS | 0.02 | 6.0% | 0.38 | 1.00 | 53.6% | 2.77 | 2.38 B | 0.42 B | 2.80 B | 46.78 B | — | -0.005 | -0.07 | 29 | 50.8% | 462 | 324 | 8d | FOREIGN | Sep 03 |
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