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 | CC | BESS | 0.60 | 91.1% | 0.40 | 0.99 | 93.0% | 1.40 | 5.57 B | 14.99 B | 20.56 B | 22.57 B | BALANCED | 55.3% | 0.044 | -0.03 | 32 | 58.4% | 541 | 503 | 3d | LOCAL | May 08 |
| 2 | XL | BESS | 0.19 | 97.3% | 0.14 | 0.74 | 71.3% | 0.34 | 14.54 B | 11.42 B | 25.96 B | 26.69 B | BALANCED | 48.6% | -0.041 | 0.06 | 31 | 54.8% | 545 | 537 | 2d | LOCAL | May 08 |
| 3 | LG | BESS | 0.11 | 121.9% | 0.07 | 1.00 | 81.9% | 5.29 | 3.15 B | 0.28 B | 3.43 B | 2.81 B | DISTRIBUTOR | 4.9% | 0.025 | 0.17 | 35 | 60.6% | 222 | 149 | 4d | LOCAL | May 05 |
| 4 | XC | BESS | 0.10 | 104.2% | 0.09 | 0.97 | 69.3% | 0.53 | 4.64 B | 9.54 B | 14.18 B | 13.61 B | BALANCED | 51.1% | -0.020 | 0.02 | 32 | 56.8% | 544 | 525 | 90d | LOCAL | May 08 |
| 5 | AG | BESS | 0.02 | 65.1% | 0.04 | 1.00 | 89.6% | 74.82 | 1.08 B | 0.36 B | 1.43 B | 2.20 B | BALANCED | 63.7% | 0.145 | 0.13 | 33 | 64.8% | 220 | 106 | 60d | FOREIGN | Apr 15 |
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