Polydata
Data is 7 days old — refreshing in background...

@Well-Groomed-Pump

#10,35710

0x38e2f5d6d1693a365e22b7ca0c715f8d92da2909

113d· 40797 markets · 11780 tradesVol: $818,7052026-07-09T05:30
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.

10
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 11%0/20
Profit Factor 0.54x0/15
HHI 810/10
Profit Days 24%0/10
DD/Peak 824%0/10

Summary

Well-Groomed-Pump is an active Polymarket trader ranked #10357 on the global PnL leaderboard. With 106 days of activity, they have executed 11,780 trades across 3,232 markets, generating a net profit of $14,038.17 on a total volume exceeding $818,000. Despite the relatively high win rate of 86.6% and a profit factor of 6.12, their portfolio value currently stands at $4,048.72, reflecting a downward equity trend and a negative Sharpe ratio of -0.67. The trader’s Smart Score is low at 10/100, indicating a beginner status, though their Bot Score is 70/100, suggesting substantial use of automated strategies.

Well-Groomed-Pump shows a strong preference for weather markets, which account for 77% of their trading volume. Their trading style appears highly contrarian with no recorded selling activity, implying a diamond hands approach to holding positions. The zero sell percentage combined with a 0-day max drawdown duration and a notable win streak badge points to a strategy focused on frequent, automated entries and minimal exits. This approach indicates a higher risk profile since positions may be held longer without active risk management.

The trader’s key strength lies in consistent profitability and a high win rate, supported by automation that likely helps sustain a high volume of trades. However, the declining equity trend and negative Sharpe ratio raise concerns about risk-adjusted returns and capital preservation. Well-Groomed-Pump’s lack of selling and contrarian stance might expose them to sudden market shifts, which could adversely impact long-term performance on Polymarket.

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

Badges

5
Profitable
PnL $+14,038
Contrarian
52% entries <$0.50
Diamond Hands
0% sell
Bot
Score 70/100
Win Streak
20 wins in a row

Categories

2
CRYPTO#4,663$10,352Vol: $581,706
🌤️ WEATHER#518$3,686Vol: $236,999

Overview

#1
Net PnL
$14,038
Polymarket official
Total Volume
$818,705
Total Redeem
$8,853
Portfolio
$4,049
Predictions
40797
total markets
Trades
11780B / 0S
Daily Volume
$375
Account Age
113d
since Mar 23, 2026

Periods

#2
Today
$-99
Vol: $1,460
Week
$-781
Vol: $33,329
Month
$270
Vol: $58,817
All Time
$14,038
Vol: $818,705

PnL Analysis

#3
Win Rate (events)
13%
313W / 2045L events
Realized PnL
$18,950
Win Rate
87%
219W / 34L
Profit Factor
6.12x
Avg Win
$20
Avg Loss
$-21

Outlier Sensitivity: Top-3 = $663 (18.2% of PnL)

Top Winners

Will the highest temperature in Shanghai be 34°C on July 7?$308
Will the highest temperature in San Francisco be between 62-63°F $179
Will the highest temperature in Munich be 25°C on July 6?$176
Will the highest temperature in Panama City be 34°C on July 7?$145
Will the highest temperature in Atlanta be between 92-93°F on Jul$110
Will the highest temperature in Paris be 34°C on July 6?$108
Will the highest temperature in Atlanta be between 92-93°F on Jul$107
Will the highest temperature in Warsaw be 22°C on July 6?$98
Will the highest temperature in Busan be 29°C on July 8?$98
Will the highest temperature in Ankara be 27°C on July 6?$92

Top Losers

Will the highest temperature in Mexico City be 25°C on July 7?$-76
Will the highest temperature in Shanghai be 35°C on July 8?$-50
Will the highest temperature in Wellington be 12°C on July 8?$-46
Will the highest temperature in Jeddah be 41°C or higher on July $-42
Will the highest temperature in Houston be between 94-95°F on Jul$-39
Will the highest temperature in Madrid be 40°C on July 8?$-39
Will the highest temperature in Amsterdam be 24°C on July 6?$-39
Will the highest temperature in Madrid be 39°C on July 8?$-38
Will the highest temperature in Cape Town be 20°C on July 6?$-34
Will the highest temperature in Seoul be 28°C on July 8?$-33

Risk Metrics

#4
Sharpe
-0.667
Sortino
-0.767
HHI
8
Diversified
EV per $1
$-0.426
Kelly %
79.2%
Half-Kelly
39.6%
Top-1 market
0.3%
Top-5 markets
1.3%

Behavior Analysis

#5
Trades / Day
116.6
Very active
Markets / Day
32.0
Active Hours
24/24
Around the clock
Peak Hour
16:00 UTC
Median Gap
2.4m
between trades
Avg Gap
13.0m
between trades
Night Trading
25%
22:00–06:00 UTC
Size Variance
0.90
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.9

Bot Detection

#6
70
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 145s — typical for humanSize CV 0.90 — diverse, typical for human25% at night — different timezone?24/24 hours — around the clockSession CV 1.23 — human randomness117 trades/day — automation32 markets/day — mass coverage3247 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 16:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.6
Moderate DCA
<=1
1123 entries
<=2
1767 entries
<=5
2565 entries
<=10
3016 entries
<=20
3226 entries
<=50
3232 entries
>50
0 entries

Price Levels

#9
Low (<20c)15.5%
Mid (20-55c)40.6%
High (>55c)44%

City Stats

#10

YES bias: 47.5%

Shanghai$336
Other$278
San Francisco$271
Atlanta$236
Munich$213
Dallas$203
Warsaw$188
Panama City$178
London$175
Ankara$167
Paris$166
Busan$128
Denver$127
Beijing$118
Taipei$113
Seoul$103
Austin$94
Helsinki$91

Bracket Analysis

#11
Avg brackets/event
1.4
Events covered
2288

Single bracket

<=1
1575 brackets
<=2
2073 brackets
<=3
2272 brackets
<=4
2288 brackets
<=5
2288 brackets
<=8
2288 brackets
>8
0 brackets

Sessions

#12
3/30/2026, 3:24:08 AM1 trades$00 min
4/25/2026, 7:55:00 PM1 trades$00 min
4/28/2026, 12:35:10 AM1 trades$00 min
5/1/2026, 9:44:48 PM1 trades$40 min
5/2/2026, 3:44:44 PM1 trades$00 min
5/4/2026, 2:33:30 AM1 trades$10 min
5/6/2026, 5:04:14 AM1 trades$20 min
5/7/2026, 6:54:33 PM1 trades$00 min
5/9/2026, 7:59:58 PM1 trades$20 min
5/10/2026, 3:59:51 AM1 trades$00 min
5/10/2026, 7:59:57 PM1 trades$00 min
5/10/2026, 11:24:55 PM1 trades$20 min
5/11/2026, 5:59:51 AM1 trades$10 min
5/17/2026, 3:53:01 AM5 trades$51 min
5/17/2026, 5:11:43 AM2 trades$20 min
5/17/2026, 7:07:23 AM1 trades$10 min
5/17/2026, 4:11:49 PM1 trades$10 min
5/19/2026, 9:37:35 PM1 trades$10 min
5/20/2026, 4:12:21 AM1 trades$10 min
5/20/2026, 5:07:04 AM1 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
03-25
04-22
05-18
06-01
06-14
06-27

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

Profile

#14
Specialization
MIXED
77.1% weather
Holding Style
HOLD
0% sell
DCA Style
MODERATE
avg 3.6/mkt
Hedging
SINGLE
avg 1.4 br/event