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 | TS | TCPI | 0.00 | 1.1% | 5.84 | 0.01 | 50.8% | 1.60 | 46.13 B | -5.72 B | 40.40 B | 3577.71 B | — | 0.019 | -0.05 | 28 | 55.8% | 614 | 597 | 8d | LOCAL | Sep 01 | |
| 2 | SH | TCPI | 0.00 | 0.5% | 0.39 | 0.00 | 72.5% | 1.60 | 3.88 B | -0.00 B | 3.88 B | 782.11 B | — | -0.015 | -0.01 | 25 | 47.8% | 608 | 598 | 2d | LOCAL | Aug 20 | |
| 3 | BR | TCPI | 0.00 | 0.2% | 0.26 | 0.00 | 60.0% | 1.26 | 5.04 B | -1.02 B | 4.01 B | 1812.77 B | — | -0.031 | -0.18 | 24 | 49.4% | 612 | 610 | 972d | LOCAL | Aug 31 | |
| 4 | PC | TCPI | 0.00 | 0.4% | 0.11 | 0.00 | 63.5% | 1.57 | 1.67 B | -0.01 B | 1.67 B | 460.96 B | — | -0.011 | -0.16 | 26 | 48.7% | 619 | 613 | 979d | LOCAL | Sep 07 | |
| 5 | ID | TCPI | 0.00 | 0.4% | 0.05 | 0.00 | 67.9% | 1.36 | 1.37 B | -0.00 B | 1.37 B | 327.26 B | — | -0.032 | -0.03 | 20 | 41.7% | 348 | 336 | 979d | 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