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 | PS | PDPP | 0.01 | 4.0% | 0.48 | 0.99 | 58.5% | 3.46 | 1.27 B | -0.00 B | 1.27 B | 32.06 B | — | 0.036 | 0.01 | 36 | 49.7% | 261 | 224 | 4d | LOCAL | Feb 24 | |
| 2 | PO | PDPP | 0.01 | 5.1% | 0.28 | 0.97 | 60.2% | 5.92 | 1.48 B | 0.00 B | 1.48 B | 28.99 B | — | 0.018 | 0.00 | 37 | 46.4% | 314 | 269 | 10d | LOCAL | Aug 08 | |
| 3 | MG | PDPP | 0.01 | 2.5% | 0.36 | 0.98 | 53.1% | 3.33 | 1.33 B | 0.00 B | 1.33 B | 54.42 B | — | 0.011 | 0.01 | 34 | 47.9% | 356 | 311 | 15d | LOCAL | Jul 30 | |
| 4 | AZ | PDPP | 0.00 | 3.8% | 0.18 | 0.99 | 57.2% | 3.89 | 1.24 B | 0.00 B | 1.24 B | 32.25 B | — | 0.000 | 0.02 | 29 | 52.9% | 461 | 376 | 28d | LOCAL | Aug 24 |
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