@0x060E26…6639

#233,2960

0x060e268caf8dd408ff711613c807ddd40c76ac12

~7d· 7 markets · 65 tradesVol: $16,1702026-08-05 00:31:14
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.

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

Score Components

20% (1/5)0/20
0.00x (win $1 / loss $4,094)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.0956 per $1 invested0/10
HHI 4154 (5 markets)0/10
1/5 profitable days (20%)0/10
Max DD 0% of peak ($4,093 / $0)0/10

Badges

1
Profitable
PnL $+106

Categories

4
⚽ SPORTS#69,162$329Vol: $8,971
🏛️ POLITICS#1,529,631$-110Vol: $6,681
💰 FINANCE#635,131$-114Vol: $516
🌤️ WEATHER#68,811$0Vol: $1

Overview

#1
Net PnL
$106
Polymarket official
Total Volume
$16,170
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
14B / 51S
Daily Volume
$0
Account Age
~7d

Periods

#2
Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$11
Vol: $0
All Time
$106
Vol: $16,170

PnL Analysis

#3

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

Win Rate (events)
20%
1W / 4L events
Realized PnL
$106
Win Rate
20%
1W / 4L
Profit Factor
0x
Avg Win
$1
Avg Loss
$-1,024

Outlier Sensitivity: Top-3 = $1 (0.008908263836239575% of PnL)

Top Winners

Will the highest temperature in Hong Kong be 26°C or higher on May 4?$1

Top Losers

Will Oscar Piastri win the 2026 F1 Hungarian Grand Prix?$-1,867
Will Kimi Antonelli win the 2026 F1 Catalunya Grand Prix?$-1,000
Will Kimi Antonelli win the 2026 F1 Austrian Grand Prix?$-1,000
Will gas hit (High) $5.00 by May 31?$-227

Risk Metrics

#4
Sharpe
-1.107
Sortino
-1.222
HHI
2412
Moderate
EV per $1
$-1.460
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
45.2%
Top-5 markets
75%

Behavior Analysis

#5
Trades / Day
0.7
Moderate
Markets / Day
0.1
Active Hours
7/24
Normal
Peak Hour
11:00 UTC
Median Gap
5s
between trades
Avg Gap
18.3m
between trades
Night Trading
3%
22:00–06:00 UTC
Size Variance
1.29
Variable
Session Statistics
Sessions
8
Avg Duration
0 min
Avg Trades / Session
8.1

Bot Detection

#6
10
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
57% gaps < 10s — regular intervalsCV 1.30 — diverse sizes (human-like)3% night trades — normal pattern7/24 hours — normal schedule1 trades/day — normal0.1 markets/day — normal22% maker — normal mix

Timing Patterns

#7

Peak hour: 11:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
10.2
Heavy DCA

Price Levels

#9
Low (<20c)21.4%
Mid (20-55c)28.6%
High (>55c)50%

Sessions

#12
7/26/2026, 11:31:09 AM16 trades$3,1260 min
7/31/2026, 6:34:02 PM2 trades$2,5000 min
6/27/2026, 6:20:13 PM13 trades$1,6240 min
5/1/2026, 5:29:16 PM5 trades$1,5372 min
7/26/2026, 1:36:33 PM6 trades$1,5090 min
6/12/2026, 3:57:15 PM11 trades$1,0600 min
7/23/2026, 4:33:34 PM10 trades$8600 min
5/4/2026, 3:53:54 AM2 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
05-01
05-04
06-12
06-27
07-26

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

Profile

#14
Specialization
MIXED
20% weather
Holding Style
ACTIVE SELLER
78.5% sell
DCA Style
HEAVY
avg 10.2/mkt
Entry Bias
HIGH $
L21.4 / M28.6 / H50