@jumabe
#27,969580xdd7ace093254d347055cdfc95a94f0550b4b7bfb
~174d· 16482 markets · 67655 tradesVol: $2,272,5362026-08-04 23:24:40
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.
58
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
41% (6749/16450)5.5/20
1.11x (win $28,846 / loss $26,053)3.8/15
Annualised Sharpe 3.38515/15
Sortino 6.43810/10
$+0.0095 per $1 invested0.5/10
HHI 2 (16450 markets)10/10
93/172 profitable days (54%)6/10
Max DD 36% of peak ($1,053 / $2,914)6.8/10
Badges
7Profitable
PnL $+4,443
Lottery Player
67% entries < $0.20
Diamond Hands
9% sells
Whale
$294,054 invested
Win Streak
11 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
92% maker orders
Categories
4🌤️ WEATHER#457$4,465Vol: $2,262,136
🏛️ POLITICS#1,284,748$-10Vol: $10,364
🎭 CULTURE#584,742$-2Vol: $23
💰 FINANCE#567,332$-9Vol: $13
Overview
#1Net PnL
$4,443
Polymarket official
Total Volume
$2,272,536
Total Redeem
$0
Portfolio
$0
Predictions
16482
total markets
Trades
61362B / 6293S
Daily Volume
$0
Account Age
~174d
Periods
#2Today
$-179
Vol: $16,471
Week
$-56
Vol: $47,295
Month
$-28
Vol: $56,460
All Time
$4,443
Vol: $2,272,536
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
41%
6746W / 9699L events
Realized PnL
$4,443
Win Rate
41%
6746W / 9699L
Profit Factor
1.11x
Avg Win
$4
Avg Loss
$-3
Outlier Sensitivity: Top-3 = $430 (0.0968621087763282% of PnL)
Top Winners
Will the highest temperature in Madrid be 24°C on April 29?$252
Will the highest temperature in Tokyo be 24°C on July 7?$102
Will the highest temperature in Hong Kong be 28°C on July 7?$77
Will the highest temperature in Chicago be between 62-63°F on March 15?$58
Will the highest temperature in Toronto be 18°C or higher on March 10?$55
Will the highest temperature in Seattle be 61°F or below on May 6?$53
Will the highest temperature in Shanghai be 19°C on March 27?$50
Will the highest temperature in Taipei be 34°C on June 16?$49
Will the highest temperature in New York City be between 54-55°F on March 14?$48
Will the highest temperature in New York City be between 52-53°F on March 20?$43
Top Losers
Will the highest temperature in London be 16°C on April 29?$-101
Will the highest temperature in New York City be between 22-23°F on January 27?$-92
US strikes Iran by January 31, 2026?$-74
Will the highest temperature in London be 13°C on March 24?$-68
Will the highest temperature in Ankara be 13°C on March 23?$-65
Will the highest temperature in Seattle be between 50-51°F on January 20?$-64
Will the highest temperature in Seattle be between 46-47°F on January 26?$-59
Will the highest temperature in Dallas be between 48-49°F on March 16?$-58
Will the highest temperature in Munich be 31°C on July 16?$-57
Will the highest temperature in Seoul be -1°C on January 26?$-57
Risk Metrics
#4Sharpe
0.177
Sortino
0.313
HHI
2
Diversified
EV per $1
$0.009
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
0.3%
Top-5 markets
1.6%
Behavior Analysis
#5Trades / Day
137.5
Very active
Markets / Day
33.5
Active Hours
24/24
Around the clock
Peak Hour
13:00 UTC
Median Gap
1.1m
between trades
Avg Gap
4.6m
between trades
Night Trading
20%
22:00–06:00 UTC
Size Variance
2.66
Variable
Session Statistics
Sessions
50
Avg Duration
33 min
Avg Trades / Session
74.4
Bot Detection
#675
BOT (automated trading)HIGH probability
7 indicators analyzed
Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 68s — normal for humanCV 2.66 — diverse sizes (human-like)20% night trades — unusual hours24/24 hours — around the clock138 trades/day — automation34 markets/day — mass coverage92% maker — systematic market making
Timing Patterns
#7Peak hour: 13:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
4.11
Price Levels
#9Low (<20c)66.8%
Mid (20-55c)5.9%
High (>55c)27.3%
Sessions
#125/9/2026, 3:51:40 AM105 trades$1,58842 min
4/28/2026, 8:31:46 PM568 trades$1,486202 min
6/4/2026, 2:31:34 AM47 trades$1,3512 min
4/29/2026, 6:17:56 PM45 trades$1,3499 min
5/11/2026, 2:42:21 PM237 trades$1,155132 min
4/25/2026, 2:30:38 PM111 trades$1,14261 min
6/11/2026, 7:14:15 PM43 trades$1,0549 min
6/11/2026, 4:38:24 PM44 trades$1,01611 min
5/9/2026, 11:36:16 PM48 trades$1,0135 min
1/26/2026, 11:18:53 AM1 trades$1,0000 min
1/27/2026, 10:55:45 AM1 trades$1,0000 min
1/28/2026, 10:14:01 AM1 trades$1,0000 min
6/11/2026, 12:17:16 PM51 trades$99318 min
6/10/2026, 4:59:39 PM57 trades$92732 min
1/29/2026, 10:13:30 PM1 trades$9260 min
1/12/2026, 2:39:44 PM2 trades$9121 min
5/10/2026, 12:38:00 PM226 trades$909102 min
5/13/2026, 12:49:32 PM336 trades$895176 min
6/8/2026, 5:35:01 PM48 trades$81835 min
5/10/2026, 6:13:40 PM41 trades$81719 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
01-12
02-13
03-13
04-26
06-06
07-04
08-01
08-04
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 65 days (recovered)
Profile
#14Specialization
WEATHER
98% weather
Holding Style
HOLD
9.3% sell
DCA Style
MODERATE
avg 4.11/mkt
Entry Bias
LOW $
L66.8 / M5.9 / H27.3