@TheHobbitMan
#2,358,74440xa14e86c6595560d58ba29cc251ff85ccc8cd58ba
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.
4
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
0% (0/20)0/20
0.00x (win $0 / loss $42)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.5088 per $1 invested0/10
HHI 1663 (20 markets)4.2/10
0/5 profitable days (0%)0/10
Max DD 0% of peak ($42 / $0)0/10
Badges
1Lottery Player
52% entries < $0.20
Categories
2🌤️ WEATHER#276,416$-50Vol: $26,051
🎭 CULTURE#291,723$0Vol: $4
Overview
#1Net PnL
$-50
Polymarket official
Total Volume
$26,055
Total Redeem
$0
Portfolio
$0
Predictions
24
total markets
Trades
33B / 82S
Daily Volume
$0
Account Age
~5d
Periods
#2Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$0
Vol: $0
All Time
$-50
Vol: $26,055
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
0%
0W / 20L events
Realized PnL
$-50
Win Rate
0%
0W / 20L
Profit Factor
0x
Avg Win
$0
Avg Loss
$-3
Top Winners
Top Losers
Will the highest temperature in Guangzhou be 32°C on July 9?$-4
Will the highest temperature in Wellington be 5°C or below on June 27?$-4
Will the highest temperature in Hong Kong be 25°C or below on June 27?$-4
Will the highest temperature in Jeddah be 39°C on July 9?$-4
Will the highest temperature in Shenzhen be 32°C on July 10?$-4
Will the highest temperature in Busan be 29°C on July 10?$-4
Will the highest temperature in Taipei be 29°C on July 10?$-4
Will the highest temperature in Busan be 30°C on July 9?$-3
Will the highest temperature in Amsterdam be 29°C on July 9?$-3
Will the highest temperature in Guangzhou be 32°C on June 29?$-2
Risk Metrics
#4Sharpe
-1.186
Sortino
-1.372
HHI
1952
Moderate
EV per $1
$-0.562
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
42.5%
Top-5 markets
58.9%
Behavior Analysis
#5Trades / Day
5.8
Moderate
Markets / Day
1.2
Active Hours
10/24
Normal
Peak Hour
1:00 UTC
Median Gap
2.0m
between trades
Avg Gap
53.1m
between trades
Night Trading
47%
22:00–06:00 UTC
Size Variance
2.19
Variable
Session Statistics
Sessions
14
Avg Duration
2 min
Avg Trades / Session
8.2
Bot Detection
#615
HUMAN (manual trading)LOW probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
MEDIUM
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 118s — normal for humanCV 2.19 — diverse sizes (human-like)47% night trades — never sleeps10/24 hours — normal schedule6 trades/day — normal1.2 markets/day — normal29% maker — normal mix
Timing Patterns
#7Peak hour: 1:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
4.95
Price Levels
#9Low (<20c)51.5%
Mid (20-55c)6.1%
High (>55c)42.4%
Sessions
#127/10/2026, 1:06:11 AM36 trades$3,5426 min
6/27/2026, 4:21:10 AM12 trades$3,0003 min
6/27/2026, 5:07:01 AM2 trades$1,0000 min
6/27/2026, 7:29:40 AM2 trades$1,0000 min
7/9/2026, 8:59:08 AM22 trades$7439 min
7/9/2026, 11:38:38 AM9 trades$2651 min
7/9/2026, 9:31:11 AM4 trades$753 min
6/29/2026, 12:11:53 PM2 trades$100 min
7/16/2026, 3:11:07 AM2 trades$80 min
6/29/2026, 10:01:43 AM8 trades$71 min
6/29/2026, 9:26:29 AM8 trades$60 min
6/29/2026, 5:52:31 AM2 trades$20 min
6/29/2026, 7:53:20 AM2 trades$20 min
7/9/2026, 11:30:11 AM4 trades$10 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
06-27
06-29
07-09
07-10
07-16
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
WEATHER
95% weather
Holding Style
ACTIVE SELLER
71.3% sell
DCA Style
MODERATE
avg 4.95/mkt
Entry Bias
LOW $
L51.5 / M6.1 / H42.4