@PalazzoJJS
#3,067,17990xd04f7c90bc6f15a29c744b4e974a19fcd7aa5acd
~14d· 9 markets · 130 tradesVol: $83,5532026-08-04 16:19:43
SMART SCORE SYSTEM
Composite trader rating.
0 to 100.
Smart Score aggregates PnL consistency, win rate, risk management, diversification, timing patterns, and trading behavior into a single 0‑100 score. Combined with bot detection that analyzes trade timing gaps, order patterns, and execution speed.
9
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
44% (4/9)7.2/20
0.02x (win $531 / loss $21,782)0/15
Annualised Sharpe -8.0350/15
Sortino -7.4080/10
$-0.5493 per $1 invested0/10
HHI 3257 (9 markets)0/10
3/8 profitable days (38%)1.9/10
Max DD 0% of peak ($21,533 / $0)0/10
Badges
1🏗️Market Maker
89% maker orders
Categories
3🏛️ POLITICS#1,640,188$-21,539Vol: $80,949
⚽ SPORTS#230,869$20Vol: $2,452
🎭 CULTURE#81,927$7Vol: $152
Overview
#1Net PnL
$-21,513
Polymarket official
Total Volume
$83,553
Total Redeem
$0
Portfolio
$0
Predictions
9
total markets
Trades
34B / 96S
Daily Volume
$0
Account Age
~14d
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
44%
4W / 5L events
Realized PnL
$-21,513
Win Rate
44%
4W / 5L
Profit Factor
0.02x
Avg Win
$133
Avg Loss
$-4,356
Outlier Sensitivity: Top-3 = $528 (0.02454536115683233% of PnL)
Top Winners
Will South Korea be eliminated in Group Stage stage of the World Cup?$282
Will Trump meet with Yoon Suk Yeol in 2025?$240
Will the next Pope require 3–4 ballots?$7
Han Duck-soo presidential unity ticket with PPP?$3
Top Losers
Yoon out as president of South Korea before April?$-19,309
Will Pietro Parolin be the next pope?$-1,320
North Korea missile test by August 31?$-927
Will Kim Moon-soo be elected the next president of South Korea?$-195
Will Han Duck-soo be the People's Power Party candidate for president?$-31
Risk Metrics
#4Sharpe
-0.393
Sortino
-0.317
HHI
3440
Concentrated
EV per $1
$-0.549
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
51.7%
Top-5 markets
96.8%
Behavior Analysis
#5Trades / Day
0.3
Moderate
Markets / Day
0.0
Active Hours
12/24
Extended
Peak Hour
21:00 UTC
Median Gap
22s
between trades
Avg Gap
51.8m
between trades
Night Trading
14%
22:00–06:00 UTC
Size Variance
2.55
Variable
Session Statistics
Sessions
33
Avg Duration
2 min
Avg Trades / Session
3.9
Bot Detection
#615
HUMAN (manual trading)LOW probability
7 indicators analyzed
Trade Speed
HIGH
Night Activity
LOW
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 22s — normal for humanCV 2.55 — diverse sizes (human-like)14% night trades — normal pattern12/24 hours — normal schedule0 trades/day — normal0.0 markets/day — normal89% maker — systematic market making
Timing Patterns
#7Peak hour: 21:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
14.44
Price Levels
#9Low (<20c)2.9%
Mid (20-55c)0%
High (>55c)97.1%
Sessions
#123/7/2025, 8:07:11 AM1 trades$15,0000 min
4/29/2025, 5:47:00 AM3 trades$9,1871 min
3/7/2025, 8:47:15 AM1 trades$4,9840 min
4/4/2025, 2:41:30 AM1 trades$4,9260 min
4/30/2025, 6:05:44 PM22 trades$2,3296 min
4/30/2025, 5:37:37 AM1 trades$2,1900 min
6/27/2026, 5:09:19 AM4 trades$1,7910 min
4/30/2025, 9:00:00 PM26 trades$1,6442 min
5/8/2025, 4:30:53 PM14 trades$1,3200 min
4/30/2025, 5:14:30 PM6 trades$1,2505 min
8/19/2025, 8:41:30 PM1 trades$9270 min
6/27/2026, 5:52:52 PM1 trades$5920 min
4/30/2025, 6:00:51 AM9 trades$5491 min
3/27/2025, 2:00:58 PM9 trades$50616 min
4/30/2025, 2:22:49 AM1 trades$4850 min
6/28/2026, 1:06:32 AM4 trades$3895 min
4/30/2025, 5:40:02 PM1 trades$2710 min
7/23/2025, 4:27:33 PM1 trades$1760 min
5/8/2025, 4:41:37 PM3 trades$1452 min
5/10/2025, 2:50:31 PM1 trades$1450 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
03-27
04-30
05-02
05-08
05-10
07-24
08-19
06-28
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
73.8% sell
DCA Style
HEAVY
avg 14.44/mkt
Entry Bias
HIGH $
L2.9 / M0 / H97.1