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
9
matching current filters
Showing
9
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 | SF | VISI | 0.48 | 105.3% | 0.36 | 1.00 | 84.7% | 4.15 | 3.10 B | 16.12 B | 19.22 B | 18.26 B | — | 0.072 | 0.30 | 42 | 67.9% | 216 | 137 | 35d | LOCAL | Jun 03 | |
| 2 | SF | DEWA | 0.30 | 14.6% | 1.18 | 1.00 | 58.1% | 2.81 | 19.72 B | 1.32 B | 21.04 B | 143.99 B | — | -0.026 | -0.03 | 33 | 52.2% | 443 | 346 | 20d | LOCAL | Sep 07 | |
| 3 | SF | DOOH | 0.06 | 20.1% | 0.33 | 1.00 | 72.4% | 2.80 | 1.59 B | 4.20 B | 5.80 B | 28.85 B | — | -0.072 | -0.00 | 26 | 48.7% | 206 | 153 | 20d | LOCAL | Aug 18 | |
| 4 | SF | INET | 0.05 | 17.0% | 0.30 | 1.00 | 52.7% | 10.00 | 5.66 B | 0.00 B | 5.66 B | 33.22 B | — | 0.014 | -0.19 | 30 | 32.8% | 332 | 237 | 21d | LOCAL | Sep 07 | |
| 5 | SF | CBDK | 0.02 | 6.8% | 0.36 | 1.00 | 67.3% | 6.53 | 1.78 B | -0.03 B | 1.75 B | 25.71 B | — | 0.002 | -0.00 | 26 | 44.8% | 194 | 113 | 22d | LOCAL | Sep 03 | |
| 6 | SF | KOCI | 0.02 | 25.2% | 0.09 | 1.00 | 78.5% | 10.00 | 1.17 B | 0.00 B | 1.17 B | 4.64 B | — | 0.000 | 0.00 | 0 | 0.0% | 112 | 68 | 40d | LOCAL | Sep 03 | |
| 7 | SF | PYFA | 0.02 | 26.7% | 0.06 | 1.00 | 72.3% | 10.00 | 1.81 B | -0.25 B | 1.56 B | 5.83 B | — | 0.145 | 0.17 | 27 | 53.0% | 251 | 141 | 149d | LOCAL | Sep 03 | |
| 8 | SF | NAIK | 0.01 | 5.9% | 0.36 | 1.00 | 50.5% | 1.61 | 1.06 B | 0.00 B | 1.06 B | 18.05 B | — | 0.000 | 0.00 | 0 | 0.0% | 141 | 91 | 597d | LOCAL | Jul 03 | |
| 9 | SF | ANTM | 0.01 | 8.6% | 0.11 | 1.00 | 66.7% | 5.33 | 1.82 B | -0.31 B | 1.51 B | 17.50 B | — | -0.008 | 0.02 | 30 | 54.5% | 524 | 360 | 975d | LOCAL | Sep 04 |
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