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 | DP | PPRE | 1.41 | 196.7% | 0.54 | 1.00 | 100.0% | 10.00 | 2.09 B | 0.00 B | 2.09 B | 1.06 B | — | -0.151 | -0.28 | 50 | 90.6% | 16 | 3 | 602d | FOREIGN | Feb 24 | |
| 2 | BK | PPRE | 0.01 | 4.9% | 0.32 | 0.85 | 56.8% | 3.18 | 1.64 B | -0.00 B | 1.64 B | 33.28 B | — | 0.025 | 0.06 | 23 | 47.2% | 204 | 192 | 5d | FOREIGN | Sep 07 | |
| 3 | GR | PPRE | 0.00 | 7.6% | 0.17 | 1.00 | 26.5% | 2.80 | 2.08 B | -0.03 B | 2.05 B | 26.83 B | — | -0.020 | -0.05 | 24 | 50.4% | 538 | 449 | 23d | LOCAL | Sep 07 | |
| 4 | AK | PPRE | 0.00 | 1.6% | 0.44 | 1.00 | 40.8% | 1.37 | 3.10 B | -0.02 B | 3.08 B | 192.32 B | — | -0.001 | -0.19 | 28 | 55.6% | 447 | 342 | 4d | FOREIGN | Sep 07 | |
| 5 | EP | PPRE | 0.00 | 1.4% | 0.14 | 0.99 | 32.7% | 1.29 | 1.09 B | -0.56 B | 0.53 B | 38.74 B | — | 0.010 | -0.07 | 27 | 56.2% | 575 | 510 | 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