Polydata

@Decent-Clip

#226,68398

0xa595ebb8384bad8299d06708bfd6290d2157cdf1

163d· 1267 markets · 1564 tradesVol: $76,7632026-07-10T07:02
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.

98
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 100%20/20
Profit Factor 25.15x15/15
Sharpe 0.70713/15
Sortino 12.35410/10
EV $+0.29410/10
HHI 5110/10
Profit Days 85%10/10
DD/Peak 1%10/10

Summary

Decent-Clip is a highly active trader on Polymarket, with 1,564 trades executed over 333 days, covering 731 different markets. Despite a moderate portfolio value of $18.52, Decent-Clip has achieved a net profit of $108.45, placing them at rank #226,683 on the global PnL leaderboard. Their smart score of 98 out of 100 indicates elite trading performance, supported by a strong win rate of 86.8% and a profit factor above 25.

This trader specializes predominantly in weather-related markets, accounting for 98% of their trades, and maintains a contrarian style, as indicated by their badges. Decent-Clip tends to sell about 35% of their positions, suggesting a balanced approach between holding and exiting trades. Their Sharpe ratio of 0.71 points to moderate risk-adjusted returns, while their max drawdown duration of zero days reflects disciplined risk management and quick recovery from adverse movements.

Decent-Clip’s key strengths include consistent profitability, a high win rate, and an upward equity trend, which signal strong market insight and timing. However, their relatively small portfolio size and low bot score imply manual trading with limited capital. While their focus on weather markets offers specialization benefits, it may also expose Decent-Clip to sector-specific risks if conditions shift abruptly. Overall, Decent-Clip demonstrates a solid, data-driven approach on Polymarket with room for scaling.

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

Badges

7
Sniper
Win Rate 100%
Profitable
PnL $+108
Contrarian
72% entries <$0.50
Weather Pro
98% weather
Win Streak
98 wins in a row
Consistent
78/92 days
Cool Head
DD 1%

Categories

4
🌤️ WEATHER#6,227$118Vol: $70,167
SPORTS#1,275,650$-7Vol: $5,856
💰 FINANCE#591,269$-25Vol: $462
🏛️ POLITICS#125,527$23Vol: $279

Overview

#1
Net PnL
$108
Polymarket official
Total Volume
$76,763
Total Redeem
$21
Portfolio
$19
Predictions
1267
total markets
Trades
1023B / 541S
Daily Volume
$38
Account Age
163d
since Jan 27, 2026

Periods

#2
Today
$-2
Vol: $0
Week
$53
Vol: $15,479
Month
$21
Vol: $19,127
All Time
$108
Vol: $76,763

PnL Analysis

#3
Win Rate (events)
100%
246W / 0L events
Realized PnL
$3,097
Win Rate
87%
244W / 37L
Profit Factor
25.15x
Avg Win
$12
Avg Loss
$-3

Outlier Sensitivity: Top-3 = $250 (8.8% of PnL)

Top Winners

Will the highest temperature in Seoul be 29°C on June 24?$94
Will the highest temperature in Wellington be 13°C on July 6?$86
Will the highest temperature in Chengdu be 39°C on July 8?$69
Will the highest temperature in Shanghai be 31°C on July 5?$62
Will the highest temperature in Shanghai be 36°C on July 6?$61
Will the highest temperature in Los Angeles be between 70-71°F on$58
Will the highest temperature in Guangzhou be 31°C on July 7?$55
Will the highest temperature in Beijing be 35°C on July 9?$51
Will the highest temperature in Beijing be 34°C on July 9?$47
Will the highest temperature in Qingdao be 32°C on July 8?$41

Top Losers

Will the highest temperature in Singapore be 32°C on July 8?$-44
Will the highest temperature in New York City be between 40-41°F $-8
Will the highest temperature in New York City be between 38-39°F $-7
Will the highest temperature in New York City be between 32-33°F $-6
Will the highest temperature in Kuala Lumpur be 33°C on June 21?$-5
Will the highest temperature in New York City be 36°F or higher o$-4
Will the highest temperature in Seattle be between 56-57°F on May$-3
Will the highest temperature in Miami be between 84-85°F on April$-3
Will the highest temperature in Panama City be 34°C on July 2?$-2
Will the highest temperature in Los Angeles be between 66-67°F on$-2

Risk Metrics

#4
Sharpe
0.707
Sortino
12.354
HHI
51
Diversified
EV per $1
$0.294
Kelly %
77.0%
Half-Kelly
38.5%
Top-1 market
0.9%
Top-5 markets
3.9%

Behavior Analysis

#5
Trades / Day
9.9
Moderate
Markets / Day
4.6
Active Hours
24/24
Around the clock
Peak Hour
18:00 UTC
Median Gap
7.9m
between trades
Avg Gap
1.7h
between trades
Night Trading
9%
22:00–06:00 UTC
Size Variance
2.04
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.7

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

5 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 472s — typical for humanSize CV 2.04 — diverse, typical for human9% at night — normal sleep pattern24/24 hours — around the clockSession CV 0.96 — human randomness

Timing Patterns

#7

Peak hour: 18:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.4
Single entry
<=1
532 entries
<=2
681 entries
<=5
727 entries
<=10
730 entries
<=20
730 entries
<=50
731 entries
>50
0 entries

Price Levels

#9
Low (<20c)23%
Mid (20-55c)52.2%
High (>55c)24.8%

City Stats

#10

YES bias: 92.1%

Seoul$244
Guangzhou$209
Chengdu$174
Shanghai$173
Wellington$153
Beijing$153
Wuhan$109
Munich$99
Lucknow$95
Paris$94
Buenos Aires$93
Busan$87
Ankara$84
Los Angeles$66
Milan$58
London$58
Austin$56
Tel Aviv$54

Bracket Analysis

#11
Avg brackets/event
1.3
Events covered
555

Single bracket

<=1
385 brackets
<=2
550 brackets
<=3
554 brackets
<=4
555 brackets
<=5
555 brackets
<=8
555 brackets
>8
0 brackets

Sessions

#12
1/31/2026, 10:39:26 PM1 trades$00 min
1/31/2026, 10:44:30 PM1 trades$10 min
2/1/2026, 12:45:42 PM1 trades$30 min
2/6/2026, 12:36:39 PM1 trades$60 min
2/9/2026, 10:55:25 PM1 trades$40 min
2/10/2026, 5:32:35 PM1 trades$40 min
2/11/2026, 1:59:07 PM1 trades$40 min
2/12/2026, 1:20:19 PM1 trades$50 min
2/12/2026, 2:54:13 PM2 trades$52 min
2/13/2026, 1:48:03 AM2 trades$214 min
2/13/2026, 1:58:01 AM1 trades$10 min
2/13/2026, 11:46:47 PM1 trades$100 min
2/14/2026, 11:59:53 AM2 trades$92 min
2/14/2026, 5:40:21 PM1 trades$20 min
2/14/2026, 9:00:15 PM2 trades$101 min
2/14/2026, 9:54:13 PM1 trades$140 min
2/15/2026, 4:04:49 AM1 trades$10 min
2/15/2026, 9:22:21 PM1 trades$50 min
2/16/2026, 7:34:01 AM2 trades$70 min
2/17/2026, 10:34:23 AM3 trades$65 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
03-11
04-17
05-14
06-07
06-24
07-09

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

Profile

#14
Specialization
WEATHER
97.5% weather
Holding Style
ACTIVE SELLER
34.6% sell
DCA Style
SINGLE
avg 1.4/mkt
Hedging
SINGLE
avg 1.3 br/event