@Shawn10utg

#501,3191

0x835ce7c0b94b785329f02fc9a80c2cb37f58f603

~2d· 7 markets · 15 tradesVol: $1,0282026-09-23 04:03:58
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.

1
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

0% (0/7)0/20
0.00x (win $0 / loss $20)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-2.0000 per $1 invested0/10
HHI 2284 (7 markets)1.1/10
0/5 profitable days (0%)0/10
Max DD 0% of peak ($20 / $0)0/10

Badges

2
Profitable
PnL $+8
Lottery Player
86% entries < $0.20

Categories

2
SPORTS#232,072$18Vol: $896
CRYPTO#1,151,186$-10Vol: $133

Overview

#1
Net PnL
$8
Polymarket official
Total Volume
$1,028
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
7B / 8S
Daily Volume
$0
Account Age
~2d

Periods

#2
Today
$-1
Vol: $80
Week
$20
Vol: $1,028
Month
$20
Vol: $1,028
All Time
$8
Vol: $1,028

PnL Analysis

#3

Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology

Win Rate (events)
0%
0W / 3L events
Realized PnL
$8
Win Rate
0%
0W / 3L
Profit Factor
0x
Avg Win
$0
Avg Loss
$-3

Top Winners

Top Losers

Real Madrid CF Femenino vs. Paris Saint-Germain FC: Both Teams to Score in First Half$-6
Exact Score: Olympique de Marseille 1 - 1 Paris Saint-Germain FC?$-4
Exact Score: Arsenal WFC 3 - 2 HB Køge?$-2
Exact Score: Real Madrid CF Femenino 2 - 1 Paris Saint-Germain FC?$-2
Exact Score: FC Bayern München 3 - 2 Manchester City WFC?$-2
Exact Score: CR Flamengo 2 - 0 Red Bull Bragantino?$-2
Will Sport Lisboa e Benfica win on 2026-09-20?$-2

Risk Metrics

#4
Sharpe
-1.155
Sortino
-1.155
HHI
1800
Moderate
EV per $1
$-2.000
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
30%
Top-5 markets
80%

Behavior Analysis

#5
Trades / Day
5.0
Moderate
Markets / Day
2.3
Active Hours
4/24
Normal
Peak Hour
2:00 UTC
Median Gap
8.6m
between trades
Avg Gap
3.4h
between trades
Night Trading
47%
22:00–06:00 UTC
Size Variance
0.51
Variable
Session Statistics
Sessions
6
Avg Duration
1 min
Avg Trades / Session
2.5

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
MEDIUM
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
MEDIUM
Market Coverage
LOW
Median gap 517s — normal for humanCV 0.51 — diverse sizes (human-like)47% night trades — never sleeps4/24 hours — normal schedule5 trades/day — normal2.3 markets/day — normal47% maker — normal mix

Timing Patterns

#7

Peak hour: 2:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.14
Moderate DCA

Price Levels

#9
Low (<20c)85.7%
Mid (20-55c)14.3%
High (>55c)0%

Sessions

#12
9/22/2026, 2:40:24 AM5 trades$644 min
9/22/2026, 2:33:17 AM2 trades$200 min
9/20/2026, 8:29:23 PM2 trades$200 min
9/20/2026, 8:20:46 PM2 trades$130 min
9/22/2026, 6:42:19 PM2 trades$130 min
9/20/2026, 9:10:35 PM2 trades$80 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-09-20 18:45:00
2026-09-20 19:30:00
2026-09-20 21:30:00
2026-09-22 16:45:00
2026-09-22 19:00:00

Faded bars = markets ending in the future (PnL from early exits)

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
53.3% sell
DCA Style
MODERATE
avg 2.14/mkt
Entry Bias
LOW $
L85.7 / M14.3 / H0