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 | LG | OMED | 0.33 | 26.1% | 1.01 | 1.00 | 44.0% | 1.54 | 17.30 B | 22.82 B | 40.12 B | 153.86 B | BALANCED | 50.4% | -0.012 | 0.20 | 26 | 62.7% | 394 | 169 | 12d | LOCAL | May 08 |
| 2 | TP | OMED | 0.05 | 12.6% | 0.33 | 1.00 | 86.7% | 26.03 | 2.10 B | 0.19 B | 2.30 B | 18.22 B | BALANCED | 51.7% | 0.028 | 0.39 | 34 | 59.0% | 146 | 75 | 131d | FOREIGN | May 08 |
| 3 | AZ | OMED | 0.02 | 14.1% | 0.21 | 1.00 | 54.5% | 61.55 | 2.48 B | 1.12 B | 3.60 B | 25.52 B | BALANCED | 51.4% | -0.003 | 0.17 | 31 | 59.2% | 433 | 292 | 857d | LOCAL | May 08 |
| 4 | CC | OMED | 0.02 | 6.7% | 0.40 | 1.00 | 50.9% | 7.47 | 4.37 B | 0.31 B | 4.68 B | 70.10 B | BALANCED | 52.6% | -0.003 | 0.26 | 32 | 61.8% | 545 | 497 | 4d | LOCAL | May 08 |
| 5 | AT | OMED | 0.00 | 5.8% | 0.08 | 1.00 | 67.6% | 39.54 | 1.05 B | -0.00 B | 1.05 B | 17.94 B | BALANCED | 51.5% | 0.008 | 0.42 | 32 | 61.8% | 411 | 245 | 4d | 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