ssstarboyyy

@ssstarboyyy

#3,067,16626

0x15463d7c82ad6df69260a9def5e19c8ff838778b

~81d· 668 markets · 9208 tradesVol: $774,4802026-08-05 17:24:38
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.

26
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

48% (320/666)9/20
0.52x (win $15,956 / loss $30,425)0/15
Annualised Sharpe -2.3100/15
Sortino -2.3170/10
$-0.0551 per $1 invested0/10
HHI 93 (666 markets)10/10
45/78 profitable days (58%)6.9/10
Max DD 1564% of peak ($16,946 / $1,083)0/10

Badges

7
Lottery Player
39% entries < $0.20
DCA Master
Avg 13.8 entries/market
Whale
$262,522 invested
High Roller
$1,823/day
Win Streak
8 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
71% maker orders

Categories

3
🌤️ WEATHER#299,624$-17,164Vol: $771,329
SPORTS#1,548,732$-36Vol: $827
🏛️ POLITICS#164,489$11Vol: $77

Overview

#1
Net PnL
$-17,536
Polymarket official
Total Volume
$774,480
Total Redeem
$0
Portfolio
$0
Predictions
668
total markets
Trades
6521B / 2687S
Daily Volume
$0
Account Age
~81d

Periods

#2
Today
$-14
Vol: $2,032
Week
$-27
Vol: $11,706
Month
$197
Vol: $12,532
All Time
$-17,536
Vol: $774,480

PnL Analysis

#3

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

Win Rate (events)
48%
319W / 345L events
Realized PnL
$-17,536
Win Rate
48%
319W / 345L
Profit Factor
0.52x
Avg Win
$50
Avg Loss
$-89

Outlier Sensitivity: Top-3 = $2,466 (0.14061587591240876% of PnL)

Top Winners

Will the highest temperature in Chengdu be 24°C or higher on March 27?$999
Will the highest temperature in Seoul be 30°C on July 28?$820
Will the highest temperature in Seoul be 18°C on April 29?$646
Will the highest temperature in Shenzhen be 29°C on April 27?$634
Will the highest temperature in Guangzhou be 31°C on June 17?$567
Will the highest temperature in Singapore be 31°C on May 1?$566
Will the highest temperature in Shenzhen be 28°C on May 3?$415
Will the highest temperature in Shanghai be 19°C on April 30?$413
Will the highest temperature in Singapore be 29°C on May 15?$379
Will the highest temperature in Seoul be 19°C on April 27?$332

Top Losers

Will the highest temperature in Seoul be 27°C on July 20?$-8,327
Will the highest temperature in Seoul be 26°C on July 20?$-4,882
Will the highest temperature in Tokyo be 21°C or higher on May 1?$-2,101
Will the highest temperature in Guangzhou be 26°C on May 3?$-1,182
Will the highest temperature in Seoul be 25°C on July 9?$-980
Will the highest temperature in Chengdu be 25°C on April 3?$-898
Will the highest temperature in Seoul be 21°C on May 10?$-699
Will the highest temperature in Chongqing be 25°C on May 12?$-585
Will the highest temperature in Shanghai be 18°C on March 29?$-560
Will the highest temperature in Chongqing be 28°C or below on June 15?$-554

Risk Metrics

#4
Sharpe
-0.120
Sortino
-0.081
HHI
93
Diversified
EV per $1
$-0.055
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2.7%
Top-5 markets
12.3%

Behavior Analysis

#5
Trades / Day
63.9
Very active
Markets / Day
4.6
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
1.5m
between trades
Avg Gap
16.1m
between trades
Night Trading
60%
22:00–06:00 UTC
Size Variance
4.91
Variable
Session Statistics
Sessions
50
Avg Duration
12 min
Avg Trades / Session
26.3

Bot Detection

#6
60
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 91s — normal for humanCV 4.91 — diverse sizes (human-like)60% night trades — never sleeps24/24 hours — around the clock64 trades/day — mass trading4.6 markets/day — normal71% maker — frequent liquidity provider

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
13.83
Heavy DCA

Price Levels

#9
Low (<20c)39.2%
Mid (20-55c)13%
High (>55c)47.9%

Sessions

#12
6/21/2026, 3:01:50 AM21 trades$7,9693 min
6/24/2026, 9:51:08 AM11 trades$7,8060 min
6/20/2026, 5:19:31 AM81 trades$7,60834 min
6/12/2026, 6:42:30 AM28 trades$7,48311 min
6/12/2026, 7:01:43 AM19 trades$6,9235 min
6/4/2026, 6:33:49 AM27 trades$6,6485 min
6/7/2026, 3:21:46 AM35 trades$6,39333 min
6/16/2026, 7:51:06 AM27 trades$6,28016 min
6/20/2026, 8:54:41 AM29 trades$6,1817 min
7/20/2026, 7:48:55 AM18 trades$5,81414 min
6/8/2026, 7:20:25 AM38 trades$5,78017 min
4/25/2026, 5:28:10 AM23 trades$5,41714 min
6/13/2026, 5:59:52 AM6 trades$5,4090 min
6/9/2026, 1:31:27 AM54 trades$5,3616 min
6/13/2026, 5:26:37 AM16 trades$5,3363 min
6/18/2026, 1:22:46 AM17 trades$5,19826 min
6/12/2026, 8:04:55 AM10 trades$5,0900 min
6/6/2026, 8:28:52 AM4 trades$4,5190 min
7/20/2026, 10:03:07 AM11 trades$4,4254 min
6/15/2026, 7:48:48 AM34 trades$4,35031 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
03-15
04-27
05-10
06-08
06-21
07-11
08-05

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

Max drawdown: 115 days (not recovered)

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
29.2% sell
DCA Style
HEAVY
avg 13.83/mkt
Entry Bias
HIGH $
L39.2 / M13 / H47.9