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@White-Donkey

#2,859,57234

0x993fe20a9ecfb7e3c072f7f8c3dcbf87243b35cb

271d· 34208 markets · 26980 tradesVol: $3,254,1692026-06-21T14:59
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.

34
Below Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 13%0/20
Profit Factor 1.40x7/15
Sharpe 0.0852/15
Sortino 0.3874/10
EV $+0.42410/10
HHI 2010/10
Profit Days 36%1/10
DD/Peak 134%0/10

Summary

White-Donkey is a moderately active trader on Polymarket, with 26,980 trades executed across 4,797 markets over 548 days. Despite the high trading volume of over $3.25 million, White-Donkey currently holds a net loss of $3,706.89 and ranks near the bottom of the global PnL leaderboard at #2,859,572. Their portfolio value is low at $134.82, and their overall performance metrics such as a 45.6% win rate and a profit factor of 0.10 reflect below-average profitability.

White-Donkey’s trading style appears automated, as indicated by a solid bot score of 70/100 and a bot-related badge, suggesting reliance on algorithmic strategies. Approximately 16% of their trades focus on weather markets, with a relatively low sell percentage of 14%, hinting at a strategy that may favor holding positions rather than frequent exits. The low Sharpe ratio of 0.09 and stable equity trend suggest limited volatility in returns, but also minimal growth over time.

The key strength of White-Donkey lies in their ability to sustain a large trading volume consistently, which is supported by an automated approach that may reduce emotional biases. However, their negative net PnL, low profit factor, and below-average smart score highlight significant risks, including potential inefficiencies in their strategy and poor risk management. These factors contribute to a fragile overall performance on Polymarket despite the trader’s experience and activity level.

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

Badges

3
Bot
Score 70/100
Win Streak
9 wins in a row
Whale
$101,737

Categories

9
🌤️ WEATHER#282,629$-3,183Vol: $2,575,645
CRYPTO#1,496,425$-324Vol: $189,189
🎭 CULTURE#782,454$-280Vol: $164,689
SPORTS#1,564,998$-104Vol: $126,988
🏛️ POLITICS#52,624$143Vol: $79,611
💰 FINANCE#26,480$44Vol: $67,605
📈 ECONOMICS#611,317$-20Vol: $18,405
💻 TECH#7,626$56Vol: $13,464
📢 MENTIONS#126,289$-12Vol: $414

Overview

#1
Net PnL
$-3,707
Polymarket official
Total Volume
$3,254,169
Total Redeem
$138
Portfolio
$135
Predictions
34208
total markets
Trades
23283B / 3697S
Daily Volume
$186
Account Age
271d
since Sep 29, 2025

Periods

#2
Today
$-1
Vol: $0
Week
$-8
Vol: $0
Month
$-20
Vol: $0
All Time
$-3,707
Vol: $3,254,169

PnL Analysis

#3
Win Rate (events)
11%
504W / 4028L events
Realized PnL
$23,139
Win Rate
46%
31W / 37L
Profit Factor
0.1x
Avg Win
$18
Avg Loss
$-145

Top Winners

Ethereum Up or Down - September 30, 5PM ET$204
Will the highest temperature in Austin be 69°F or below on April $102
Will the highest temperature in Wellington be 14°C on April 20?$69
Will the highest temperature in Milan be 24°C on April 19?$39
Ethereum Up or Down on October 6?$37
Bitcoin Up or Down - September 30, 9AM ET$25
Ethereum Up or Down - September 30, 9AM ET$22
Ethereum Up or Down - September 30, 10AM ET$18
Will the highest temperature in Jeddah be 33°C on April 20?$17
Will Lars Løkke Rasmussen be the next prime minister of Denmark a$7

Top Losers

Will the highest temperature in Seoul be 17°C on April 17?$-745
Will the highest temperature in Seoul be 12°C on April 11?$-544
Will the highest temperature in Seattle be between 56-57°F on Apr$-483
Will the highest temperature in London be 15°C on April 12?$-475
Will the highest temperature in Hong Kong be 28°C on April 20?$-280
Will the highest temperature in Ankara be 7°C on April 10?$-256
Will the highest temperature in Shanghai be 18°C on April 11?$-239
Will the highest temperature in Beijing be 27°C on April 12?$-238
Will the highest temperature in Atlanta be between 84-85°F on Apr$-233
Will the highest temperature in Los Angeles be between 66-67°F on$-195

Risk Metrics

#4
Sharpe
0.085
Sortino
0.388
HHI
20
Diversified
EV per $1
$0.424
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
0.9%
Top-5 markets
4.1%

Behavior Analysis

#5
Trades / Day
122.2
Very active
Markets / Day
21.7
Active Hours
24/24
Around the clock
Peak Hour
11:00 UTC
Median Gap
54s
between trades
Avg Gap
11.0m
between trades
Night Trading
23%
22:00–06:00 UTC
Size Variance
0.99
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.4

Bot Detection

#6
70
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 54s — typical for humanSize CV 0.99 — diverse, typical for human23% at night — different timezone?24/24 hours — around the clockSession CV 0.96 — human randomness122 trades/day — automation22 markets/day — mass coverage5375 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 11:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.9
Moderate DCA
<=1
3262 entries
<=2
3776 entries
<=5
4077 entries
<=10
4237 entries
<=20
4424 entries
<=50
4649 entries
>50
84 entries

Price Levels

#9
Low (<20c)13.2%
Mid (20-55c)37.1%
High (>55c)49.8%

City Stats

#10

YES bias: 9.4%

Other$234
Austin$102
Wellington$69
Milan$39
Jeddah$17
Up or Down$0
New York City$0
Chicago$0
Toronto$0
Buenos Aires$0
Tokyo$0
Houston$0
Denver$0
McKenna$0
Warsh$0
Chongqing$0
San Francisco$0
Taipei$0

Bracket Analysis

#11
Avg brackets/event
1.1
Events covered
4393

Single bracket

<=1
4247 brackets
<=2
4321 brackets
<=3
4342 brackets
<=4
4359 brackets
<=5
4368 brackets
<=8
4390 brackets
>8
3 brackets

Sessions

#12
9/29/2025, 9:13:13 PM1 trades$280 min
9/29/2025, 11:02:45 PM4 trades$521 min
9/30/2025, 9:01:19 AM2 trades$400 min
9/30/2025, 12:06:27 PM1 trades$120 min
9/30/2025, 12:33:01 PM5 trades$486 min
9/30/2025, 12:58:27 PM9 trades$2247 min
9/30/2025, 1:10:53 PM3 trades$400 min
9/30/2025, 1:19:29 PM9 trades$552 min
9/30/2025, 1:53:07 PM20 trades$5999 min
9/30/2025, 2:21:37 PM1 trades$330 min
9/30/2025, 2:58:55 PM8 trades$2904 min
9/30/2025, 8:48:05 PM1 trades$530 min
9/30/2025, 9:00:29 PM1 trades$520 min
9/30/2025, 9:49:31 PM1 trades$990 min
10/3/2025, 8:01:04 PM1 trades$300 min
10/3/2025, 9:40:53 PM1 trades$330 min
10/3/2025, 10:49:07 PM2 trades$1402 min
10/4/2025, 7:02:52 PM1 trades$40 min
10/4/2025, 7:34:06 PM1 trades$40 min
10/4/2025, 8:07:22 PM1 trades$30 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
11-22
12-31
02-09
03-28
05-18
06-27
03-31

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

Profile

#14
Specialization
MIXED
16.3% weather
Holding Style
HOLD
13.7% sell
DCA Style
MODERATE
avg 4.9/mkt
Hedging
SINGLE
avg 1.1 br/event