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
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 | IT | NCKL | 0.02 | 6.6% | 0.34 | 1.00 | 70.3% | 15.48 | 2.23 B | -0.13 B | 2.10 B | 31.69 B | BALANCED | 48.2% | 0.018 | 0.04 | 30 | 48.0% | 251 | 138 | 9d | LOCAL | May 08 |
| 2 | IT | UNTR | 0.02 | 4.1% | 0.55 | 1.00 | 68.7% | 8.80 | 1.83 B | -0.00 B | 1.82 B | 44.37 B | BALANCED | 31.3% | 0.000 | 0.08 | 33 | 49.6% | 350 | 195 | 8d | LOCAL | May 08 |
| 3 | IT | NISP | 0.02 | 3.5% | 0.52 | 1.00 | 78.4% | 19.34 | 1.73 B | -0.25 B | 1.47 B | 42.09 B | BALANCED | 44.4% | 0.001 | 0.06 | 27 | 50.6% | 307 | 116 | 245d | LOCAL | May 05 |
| 4 | IT | ANTM | 0.01 | 6.4% | 0.24 | 1.00 | 76.4% | 9.37 | 1.10 B | -0.00 B | 1.10 B | 17.31 B | BALANCED | 45.0% | -0.008 | 0.18 | 30 | 56.4% | 232 | 127 | 8d | LOCAL | Apr 30 |
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