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
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 | GR | APLN | 0.17 | 26.0% | 0.59 | 1.00 | 43.0% | 10.00 | 12.88 B | -0.04 B | 12.84 B | 49.36 B | — | 0.011 | -0.12 | 26 | 58.1% | 620 | 526 | 10d | LOCAL | Sep 07 | |
| 2 | IN | APLN | 0.05 | 14.7% | 0.39 | 1.00 | 54.9% | 5.58 | 2.97 B | 0.00 B | 2.97 B | 20.20 B | — | 0.012 | -0.09 | 30 | 53.9% | 140 | 82 | 25d | LOCAL | Aug 19 | |
| 3 | CC | APLN | 0.00 | 1.7% | 0.58 | 0.71 | 40.5% | 1.69 | 4.30 B | -0.21 B | 4.09 B | 233.59 B | — | 0.005 | -0.12 | 28 | 57.2% | 630 | 629 | 109d | LOCAL | Sep 07 | |
| 4 | CP | APLN | 0.00 | 3.4% | 0.17 | 0.98 | 32.7% | 2.49 | 2.48 B | -0.01 B | 2.47 B | 72.53 B | — | -0.005 | -0.18 | 26 | 55.0% | 612 | 563 | 20d | FOREIGN | Sep 07 | |
| 5 | SQ | APLN | 0.00 | 2.0% | 0.27 | 1.00 | 26.9% | 1.60 | 1.44 B | -0.07 B | 1.37 B | 68.94 B | — | -0.004 | 0.01 | 26 | 57.6% | 629 | 606 | 4d | LOCAL | Sep 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