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

matching current filters

Showing

capped at 1000

Top sm_score

94.72

DSSA · PP

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	PP	DSSA	94.72	28.5%	75.61	1.00	58.7%	96.50	114.12 B	0.00 B	114.12 B	400.48 B	DISTRIBUTOR	9.4%	0.087	0.23	27	42.4%	156	63	651d	LOCAL	Apr 27
2	SS	DSSA	40.37	10.8%	48.41	1.00	82.9%	1.60	167.96 B	1.00 B	168.96 B	1571.30 B	DISTRIBUTOR	24.5%	0.085	0.20	36	57.7%	305	158	421d	LOCAL	May 08
3	YO	DSSA	34.04	61.7%	14.78	1.00	88.9%	639.01	39.20 B	-1.22 B	37.98 B	61.59 B	DISTRIBUTOR	8.7%	0.192	0.57	50	59.4%	18	9	407d	LOCAL	Oct 01
4	DH	DSSA	14.86	11.2%	52.44	1.00	65.5%	9.35	33.38 B	0.54 B	33.91 B	303.89 B	DISTRIBUTOR	6.4%	0.010	0.04	37	56.0%	489	443	847d	LOCAL	May 08
5	ZP	DSSA	8.74	4.0%	37.78	1.00	67.2%	0.85	142.56 B	0.00 B	142.56 B	3522.02 B	BALANCED	41.2%	0.010	0.03	38	50.9%	436	375	59d	FOREIGN	May 08
6	LG	DSSA	1.80	7.6%	9.68	1.00	63.7%	4.02	32.78 B	-2.99 B	29.79 B	390.89 B	DISTRIBUTOR	30.0%	-0.011	0.13	34	52.4%	433	361	103d	LOCAL	May 08
7	RF	DSSA	0.83	6.8%	6.89	0.98	58.1%	3.03	20.81 B	-0.98 B	19.83 B	291.52 B	DISTRIBUTOR	17.9%	0.019	0.34	35	53.9%	339	280	74d	LOCAL	May 08
8	FZ	DSSA	0.63	9.5%	2.73	1.00	77.2%	32.82	22.12 B	0.07 B	22.19 B	234.61 B	BALANCED	46.2%	0.033	0.39	37	55.7%	236	149	141d	LOCAL	May 08
9	AR	DSSA	0.21	21.5%	0.81	1.00	87.0%	13.28	2.48 B	-0.53 B	1.95 B	9.07 B	DISTRIBUTOR	23.6%	0.029	0.46	37	59.1%	51	23	279d	LOCAL	May 08
10	CC	DSSA	0.14	1.0%	13.77	0.38	59.2%	1.20	42.06 B	-6.75 B	35.32 B	3518.03 B	BALANCED	50.3%	0.035	0.10	37	49.8%	494	471	8d	LOCAL	May 08
11	RS	DSSA	0.07	23.0%	0.37	1.00	72.7%	2.36	1.53 B	-0.06 B	1.47 B	6.40 B	BALANCED	51.4%	0.057	0.51	28	57.1%	32	22	62d	LOCAL	May 08
12	MG	DSSA	0.00	0.3%	1.99	1.00	63.0%	1.25	1.17 B	0.23 B	1.40 B	507.97 B	BALANCED	50.2%	-0.027	0.21	29	46.3%	324	276	9d	LOCAL	May 08
13	KI	DSSA	0.00	0.2%	5.08	0.03	52.6%	1.81	12.90 B	-11.24 B	1.65 B	1045.43 B	BALANCED	45.9%	-0.009	0.12	30	52.5%	428	403	69d	LOCAL	May 08
14	HD	DSSA	0.00	0.4%	0.84	0.01	55.7%	1.23	2.89 B	0.03 B	2.92 B	799.91 B	BALANCED	49.7%	-0.013	0.10	33	50.5%	428	418	5d	FOREIGN	May 08
15	CP	DSSA	0.00	0.3%	0.75	0.01	55.7%	1.15	1.93 B	0.55 B	2.48 B	833.51 B	BALANCED	50.7%	0.003	0.24	34	51.2%	464	445	4d	FOREIGN	May 08
16	EP	DSSA	0.00	0.2%	0.43	0.01	54.9%	0.92	1.06 B	0.09 B	1.14 B	555.79 B	BALANCED	50.2%	-0.011	0.25	35	51.0%	442	426	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