Polydata

@Sorruby

#14,24590

0xdadbf9e1df1b8d7a184a0d6ab9c83b2337b61870

62d· 337 markets · 2147 tradesVol: $289,9452026-06-25T20:00
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.

90
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 59%14/20
Profit Factor 18.82x15/15
Sharpe 0.58811/15
Sortino 80.47110/10
EV $+4.80210/10
HHI 16910/10
Profit Days 75%10/10
DD/Peak 0%10/10

Summary

Sorruby is an experienced and active trader on Polymarket, ranked #14245 on the global PnL leaderboard. Over 64 days, they have executed 2,147 trades across 320 markets, accumulating a net PnL of $9,606.95 on a total volume of nearly $290,000. Their portfolio value stands at $2,781.08, reflecting consistent profitability bolstered by an elite Smart Score of 90/100. Sorruby’s Sharpe ratio of 0.59 and a profit factor of 11.42 indicate a solid risk-adjusted performance.

Sorruby’s trading strategy leans heavily toward weather markets, which constitute 88% of their activity, highlighting a niche expertise. Their approach combines manual and semi-automated trading, as indicated by a bot score of 55/100. The trader exhibits a moderate risk profile with a 66.2% win rate and a 32% sell percentage, suggesting selective profit-taking. Sorruby’s trades are characterized by an upward equity trend and zero days of max drawdown duration, pointing to effective timing and risk control.

Strengths for Sorruby include a high profit factor, consistent winning streaks, and a contrarian style that may capitalize on market inefficiencies. However, the reliance on weather-related markets could introduce sector-specific risks. The semi-bot trading style might also pose challenges if automated signals fail under volatile conditions. Overall, Sorruby demonstrates strong performance on Polymarket but should monitor concentration risks and maintain adaptive strategies.

Analysis based on the last 250 closed positions. Full trading history — coming soon.

Badges

7
Profitable
PnL $+9,607
Lottery Player
67% entries <$0.20
Contrarian
80% entries <$0.50
Weather Pro
88% weather
Win Streak
23 wins in a row
Consistent
30/40 days
Cool Head
DD 0%

Categories

4
🌤️ WEATHER#168$9,935Vol: $237,446
🏛️ POLITICS#1,444,038$-55Vol: $47,500
SPORTS#1,635,096$-216Vol: $1,093
💰 FINANCE#600,876$-56Vol: $338

Overview

#1
Net PnL
$9,607
Polymarket official
Total Volume
$289,945
Total Redeem
$15,457
Portfolio
$2,781
Predictions
337
total markets
Trades
1452B / 695S
Daily Volume
$521
Account Age
62d
since Apr 23, 2026

Periods

#2
Today
$1,436
Vol: $26,695
Week
$3,911
Vol: $139,276
Month
$9,545
Vol: $222,602
All Time
$9,607
Vol: $289,945

PnL Analysis

#3
Win Rate (events)
65%
76W / 41L events
Realized PnL
$8,811
Win Rate
66%
155W / 79L
Profit Factor
11.42x
Avg Win
$71
Avg Loss
$-12

Outlier Sensitivity: Top-3 = $2,187 (21.7% of PnL)

Top Winners

Will the lowest temperature in Hong Kong be 28°C on June 24?$792
Will the highest temperature in Hong Kong be 31°C on June 20?$742
Will the highest temperature in Shenzhen be 34°C on June 23?$654
Will the lowest temperature in Hong Kong be 28°C on June 23?$646
Will the highest temperature in Shenzhen be 26°C on June 16?$645
Will the highest temperature in Hong Kong be 33°C on June 22?$534
Will the highest temperature in Guangzhou be 37°C on June 2?$495
Will the lowest temperature in Hong Kong be 28°C on June 26?$433
Will the highest temperature in Beijing be 28°C on June 4?$428
Will the highest temperature in Busan be 28°C on June 25?$385

Top Losers

Will the lowest temperature in Hong Kong be 29°C on June 26?$-655
Will the highest temperature in Hong Kong be 32°C on June 24?$-57
Will the highest temperature in Wuhan be 30°C on June 25?$-18
Will the highest temperature in Shenzhen be 34°C on June 26?$-16
Will the highest temperature in Seoul be 22°C on June 26?$-12
Will the highest temperature in Guangzhou be 36°C on June 26?$-9
Will the highest temperature in Chengdu be 29°C on June 23?$-8
Will the highest temperature in Guangzhou be 37°C or higher on Ju$-7
Will the highest temperature in Seoul be 24°C on June 26?$-7
Will the highest temperature in Shenzhen be 31°C on June 25?$-7

Risk Metrics

#4
Sharpe
0.588
Sortino
80.471
HHI
169
Diversified
EV per $1
$4.802
Kelly %
38.4%
Half-Kelly
19.2%
Top-1 market
4.6%
Top-5 markets
19.8%

Behavior Analysis

#5
Trades / Day
34.4
Active
Markets / Day
5.1
Active Hours
24/24
Around the clock
Peak Hour
8:00 UTC
Median Gap
1.3m
between trades
Avg Gap
24.6m
between trades
Night Trading
27%
22:00–06:00 UTC
Size Variance
3.74
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.8

Bot Detection

#6
55
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 75s — typical for humanSize CV 3.74 — diverse, typical for human27% at night — bot never sleeps24/24 hours — around the clockSession CV 1.09 — human randomness34 trades/day — suspiciously high302 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 8:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.6
Moderate DCA
<=1
146 entries
<=2
187 entries
<=5
246 entries
<=10
283 entries
<=20
301 entries
<=50
315 entries
>50
1 entries

Price Levels

#9
Low (<20c)67.1%
Mid (20-55c)14.6%
High (>55c)18.3%

City Stats

#10

YES bias: 68.4%

Hong Kong$5,601
Shenzhen$1,866
Guangzhou$1,319
Beijing$560
Busan$382
Chengdu$131
Wuhan$70
Shanghai$46
Jakarta$45
Qingdao$31
Other$30
Taipei$26
Chongqing$23
Munich$0
Amsterdam$0
San Francisco$0
Wellington$0
Singapore$-0

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
155

Moderate coverage

<=1
79 brackets
<=2
112 brackets
<=3
133 brackets
<=4
139 brackets
<=5
150 brackets
<=8
155 brackets
>8
0 brackets

Sessions

#12
4/24/2026, 7:09:20 AM2 trades$110 min
4/24/2026, 8:44:24 AM4 trades$2393 min
4/25/2026, 4:51:00 AM1 trades$50 min
4/25/2026, 5:28:12 AM1 trades$00 min
4/25/2026, 8:55:54 AM1 trades$60 min
4/25/2026, 9:01:54 AM1 trades$1000 min
4/25/2026, 2:42:04 PM2 trades$381 min
4/25/2026, 3:26:28 PM1 trades$40 min
4/25/2026, 4:09:48 PM1 trades$170 min
4/25/2026, 6:56:58 PM1 trades$30 min
4/25/2026, 7:07:40 PM1 trades$10 min
4/25/2026, 10:46:52 PM1 trades$270 min
4/26/2026, 3:32:46 AM4 trades$162 min
4/26/2026, 3:44:06 AM1 trades$100 min
4/26/2026, 5:45:40 AM1 trades$00 min
4/26/2026, 12:35:48 PM2 trades$560 min
4/26/2026, 1:01:16 PM2 trades$1770 min
4/26/2026, 1:38:36 PM1 trades$40 min
4/26/2026, 3:29:42 PM1 trades$920 min
4/26/2026, 3:37:48 PM1 trades$280 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-24
05-07
05-19
06-04
06-10
06-16
06-23
06-25

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

Profile

#14
Specialization
WEATHER
88.1% weather
Holding Style
ACTIVE SELLER
32.4% sell
DCA Style
MODERATE
avg 4.6/mkt
Hedging
SINGLE
avg 2.1 br/event