@Sitiropikoh
#20,839860x6d77ba679c455cd7007bf897cc3a42c9e496a694
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.
86
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
82% (2448/2976)20/20
1.65x (win $11,292 / loss $6,859)10.6/15
Annualised Sharpe 5.96215/15
Sortino 9.22010/10
$+0.0122 per $1 invested0.6/10
HHI 17 (2976 markets)10/10
136/184 profitable days (74%)10/10
Max DD 12% of peak ($552 / $4,700)10/10
Badges
10Sniper
Win rate 82%
Profitable
PnL $+6,414
DCA Master
Avg 6.5 entries/market
Whale
$363,764 invested
Consistent
136/184 profitable days
High Roller
$1,610/day
Cool Head
Max DD 12%
Win Streak
23 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
89% maker orders
Categories
6🌤️ WEATHER#296$6,453Vol: $990,619
₿ CRYPTO#1,065,254$-6Vol: $23,433
💰 FINANCE#589,926$-17Vol: $3,251
⚽ SPORTS#275,000$11Vol: $2,791
🏛️ POLITICS#1,166,717$-5Vol: $493
🎭 CULTURE#680,730$-9Vol: $310
Overview
#1Net PnL
$6,414
Polymarket official
Total Volume
$1,021,952
Total Redeem
$0
Portfolio
$0
Predictions
2980
total markets
Trades
9918B / 9510S
Daily Volume
$0
Account Age
~185d
Periods
#2Today
$-2
Vol: $2,648
Week
$4
Vol: $8,571
Month
$-93
Vol: $11,833
All Time
$6,414
Vol: $1,021,952
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
82%
2448W / 527L events
Realized PnL
$6,414
Win Rate
82%
2448W / 527L
Profit Factor
1.65x
Avg Win
$5
Avg Loss
$-14
Outlier Sensitivity: Top-3 = $368 (0.05734598264746923% of PnL)
Top Winners
Will Aston Villa FC win on 2026-05-24?$201
Will the highest temperature in Buenos Aires be 28°C on March 16?$93
Will the highest temperature in Shanghai be 5°C on March 19?$73
Will the highest temperature in Wellington be 16°C on February 19?$70
Will the highest temperature in Chongqing be 38°C on July 11?$69
Will the highest temperature in Buenos Aires be 26°C on March 16?$63
Will the highest temperature in Taipei be 32°C on July 10?$62
Will the highest temperature in Seattle be between 52-53°F on February 17?$57
Will the highest temperature in Singapore be 31°C on May 1?$54
Will the highest temperature in Seattle be between 48-49°F on February 16?$53
Top Losers
WTI Crude Oil (WTI) Up or Down on April 28?$-474
Will the highest temperature in Seattle be between 62-63°F on May 5?$-398
Will the highest temperature in Shanghai be 19°C on May 8?$-384
Will the highest temperature in Shenzhen be 31°C on June 15?$-280
Will the highest temperature in Helsinki be 16°C on June 17?$-166
Will the highest temperature in Seoul be 9°C on March 26?$-144
Will the highest temperature in Jakarta be 32°C on May 8?$-119
Will the highest temperature in Ankara be 32°C on July 12?$-91
Will the highest temperature in Lucknow be 39°C on June 25?$-73
Will the highest temperature in Tokyo be 34°C on July 14?$-65
Risk Metrics
#4Sharpe
0.311
Sortino
0.283
HHI
16
Diversified
EV per $1
$0.012
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
0.9%
Top-5 markets
3.6%
Behavior Analysis
#5Trades / Day
86.0
Very active
Markets / Day
13.2
Active Hours
24/24
Around the clock
Peak Hour
0:00 UTC
Median Gap
3.3m
between trades
Avg Gap
15.7m
between trades
Night Trading
25%
22:00–06:00 UTC
Size Variance
2.21
Variable
Session Statistics
Sessions
50
Avg Duration
11 min
Avg Trades / Session
14.8
Bot Detection
#670
BOT (automated trading)HIGH probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 198s — normal for humanCV 2.21 — diverse sizes (human-like)25% night trades — unusual hours24/24 hours — around the clock86 trades/day — mass trading13 markets/day — mass coverage89% maker — systematic market making
Timing Patterns
#7Peak hour: 0:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
6.53
Price Levels
#9Low (<20c)8.4%
Mid (20-55c)6.9%
High (>55c)84.7%
Sessions
#123/5/2026, 3:30:35 PM3 trades$2,9220 min
3/11/2026, 11:27:37 PM33 trades$2,74527 min
3/16/2026, 8:01:17 AM12 trades$2,23412 min
2/25/2026, 7:31:16 AM8 trades$2,18115 min
3/22/2026, 12:05:15 PM3 trades$2,0720 min
2/26/2026, 12:14:04 AM21 trades$2,0058 min
3/22/2026, 12:35:49 PM7 trades$1,91110 min
3/3/2026, 7:46:13 AM48 trades$1,90616 min
3/11/2026, 10:01:39 PM55 trades$1,89239 min
3/1/2026, 1:52:25 PM24 trades$1,85120 min
4/27/2026, 3:43:06 PM8 trades$1,8434 min
4/1/2026, 1:27:43 AM8 trades$1,82610 min
5/10/2026, 8:53:02 PM12 trades$1,7113 min
3/27/2026, 1:31:23 AM7 trades$1,67611 min
3/22/2026, 6:50:53 AM2 trades$1,6663 min
3/3/2026, 10:02:19 AM34 trades$1,58719 min
3/19/2026, 9:06:39 PM4 trades$1,5740 min
3/12/2026, 8:42:25 PM8 trades$1,5325 min
3/15/2026, 11:37:49 AM65 trades$1,53043 min
3/12/2026, 4:32:39 PM13 trades$1,52311 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
12-22
01-21
02-20
03-22
05-10
06-22
07-31
08-04
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 11 days (recovered)
Profile
#14Specialization
WEATHER
94% weather
Holding Style
ACTIVE SELLER
48.9% sell
DCA Style
HEAVY
avg 6.53/mkt
Entry Bias
HIGH $
L8.4 / M6.9 / H84.7