Smart Money · per-pair browser · obs May 08
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 | DCII | 0.02 | 36.1% | 0.06 | 1.00 | 86.3% | 1.47 | 1.53 B | -0.01 B | 1.51 B | 4.20 B | BALANCED | 43.5% | 0.026 | 0.28 | 24 | 45.4% | 140 | 73 | 856d | LOCAL | May 07 |
| 2 | YP | DCII | 0.02 | 15.2% | 0.17 | 1.00 | 34.9% | 17.34 | 4.55 B | 0.00 B | 4.55 B | 29.94 B | BALANCED | 47.1% | -0.000 | 0.05 | 22 | 41.8% | 336 | 243 | 12d | FOREIGN | May 08 |
| 3 | CP | DCII | 0.01 | 9.1% | 0.15 | 1.00 | 63.7% | 6.47 | 1.80 B | -0.05 B | 1.75 B | 19.19 B | BALANCED | 49.4% | 0.038 | 0.12 | 24 | 43.5% | 106 | 80 | 45d | FOREIGN | May 06 |
| 4 | MG | DCII | 0.01 | 12.8% | 0.13 | 1.00 | 60.0% | 4.73 | 1.21 B | -0.11 B | 1.10 B | 8.53 B | BALANCED | 49.6% | 0.051 | 0.21 | 14 | 32.2% | 75 | 55 | 6d | LOCAL | Feb 03 |
| 5 | CC | DCII | 0.01 | 9.8% | 0.15 | 1.00 | 34.6% | 0.88 | 3.52 B | -0.61 B | 2.91 B | 29.60 B | BALANCED | 50.6% | 0.064 | 0.04 | 23 | 45.6% | 422 | 319 | 35d | LOCAL | May 08 |
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