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

@Slim-Might-Season

#145,75996

0x22303bfa1046bf5ebf8d53f0fe77ee825299084e

36d· 1570 markets · 1484 tradesVol: $150,8552026-05-14T14:33
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.

96
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 99%20/20
Profit Factor 6.83x15/15
Sharpe 0.82215/15
Sortino 28906.38510/10
EV $+0.1156/10
HHI 15710/10
Profit Days 96%10/10
DD/Peak 11%10/10

Summary

Slim-Might-Season is an active trader on Polymarket with 1,484 trades executed over 29 days and a net profit of $224.51. Ranked #145,759 globally, this trader maintains a portfolio valued at $5,720.55 and has accumulated $150,855 in total trading volume. Their Smart Score of 96/100 places them in the elite category, reflecting strong analytical skills and consistent performance despite a moderate profit factor of 0.56.

The trader specializes exclusively in weather markets, demonstrating a focused strategy that leverages niche expertise. Slim-Might-Season employs an automated trading approach, as indicated by a Bot Score of 75/100, enabling rapid execution and disciplined risk management. Their high win rate of 90.3% combined with a stable equity trend and zero max drawdown duration suggests a conservative risk tolerance and effective timing in entering and exiting positions. The 58% sell rate indicates a preference for locking in profits rather than holding long-term.

Key strengths for Slim-Might-Season include strong consistency, a sniper-like precision in market selection, and effective use of automation. However, the relatively low profit factor and flat portfolio trend may signal limited upside potential or conservative profit-taking that could constrain growth. Continued success on Polymarket will depend on balancing risk management with opportunities for larger gains.

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

Badges

8
Sniper
Win Rate 99%
Profitable
PnL $+225
Weather Pro
100% weather
Bot
Score 75/100
Win Streak
139 wins in a row
Consistent
22/23 days
High Roller
$1,529/day
Cool Head
DD 11%

Categories

3
🌤️ WEATHER#3,656$225Vol: $150,578
🎭 CULTURE#404,209$-0Vol: $256
SPORTS#549,362$-0Vol: $20

Overview

#1
Net PnL
$225
Polymarket official
Total Volume
$150,855
Total Redeem
$5,586
Portfolio
$5,721
Predictions
1570
total markets
Trades
629B / 855S
Daily Volume
$1,529
Account Age
36d
since Apr 15, 2026

Periods

#2
Today
$28
Vol: $2,542
Week
$-564
Vol: $17,956
Month
$-224
Vol: $67,711
All Time
$225
Vol: $150,855

PnL Analysis

#3
Win Rate (events)
98%
186W / 4L events
Realized PnL
$720
Win Rate
90%
262W / 28L
Profit Factor
0.56x
Avg Win
$2
Avg Loss
$-26

Top Winners

Will the highest temperature in Chicago be 47°F or below on May 6$29
Will the highest temperature in Austin be 65°F or below on May 7?$21
Will the highest temperature in Denver be 66°F or higher on May 1$15
Will the highest temperature in Seoul be 15°C on May 5?$14
Will the highest temperature in Lagos be 27°C or below on May 5?$13
Will the highest temperature in Seattle be between 68-69°F on May$12
Will the highest temperature in Qingdao be 14°C on May 3?$12
Will the highest temperature in Houston be 69°F or below on May 2$11
Will the highest temperature in Beijing be 23°C or below on May 6$10
Will the highest temperature in Guangzhou be 15°C or below on May$9

Top Losers

Will the highest temperature in Karachi be 34°C on May 5?$-95
Will the highest temperature in Karachi be 35°C on May 5?$-85
Will the highest temperature in Mexico City be 22°C on April 29?$-59
Will the highest temperature in Ankara be 5°C on May 2?$-57
Will the highest temperature in Istanbul be 11°C on May 5?$-55
Will the highest temperature in Amsterdam be 17°C on May 2?$-53
Will the highest temperature in Seoul be 16°C on May 5?$-50
Will the highest temperature in Chengdu be 28°C on May 11?$-37
Will the highest temperature in Seattle be between 66-67°F on May$-31
Will the highest temperature in Lagos be 28°C on May 2?$-28

Risk Metrics

#4
Sharpe
0.822
Sortino
inf
HHI
157
Diversified
EV per $1
$0.115
Kelly %
15.1%
Half-Kelly
7.6%
Top-1 market
5.5%
Top-5 markets
20.6%

Behavior Analysis

#5
Trades / Day
70.3
Very active
Markets / Day
18.9
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
2.0m
between trades
Avg Gap
19.7m
between trades
Night Trading
49%
22:00–06:00 UTC
Size Variance
1.76
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
5.3

Bot Detection

#6
75
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
LOW
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 119s — typical for humanSize CV 1.76 — diverse, typical for human49% at night — bot never sleeps24/24 hours — around the clockSession CV 1.04 — human randomness70 trades/day — mass trading19 markets/day — mass coverage359 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.6
Single entry
<=1
317 entries
<=2
347 entries
<=5
386 entries
<=10
395 entries
<=20
398 entries
<=50
398 entries
>50
0 entries

Price Levels

#9
Low (<20c)0%
Mid (20-55c)0.5%
High (>55c)99.5%

City Stats

#10

YES bias: 12.1%

Guangzhou$51
Austin$41
Denver$24
Tokyo$19
San Francisco$14
Moscow$13
Qingdao$12
Houston$12
Beijing$10
Cape Town$9
Hong Kong$9
Atlanta$8
Lagos$7
Chongqing$5
New York City$5
Los Angeles$5
Kuala Lumpur$5
Toronto$5

Bracket Analysis

#11
Avg brackets/event
2
Events covered
197

Moderate coverage

<=1
108 brackets
<=2
152 brackets
<=3
171 brackets
<=4
177 brackets
<=5
185 brackets
<=8
197 brackets
>8
0 brackets

Sessions

#12
4/23/2026, 5:01:56 AM1 trades$10 min
4/25/2026, 4:24:36 AM3 trades$152 min
4/25/2026, 5:21:48 AM1 trades$50 min
4/25/2026, 5:34:58 AM1 trades$30 min
4/26/2026, 4:17:20 AM1 trades$1180 min
4/26/2026, 4:37:10 AM1 trades$50 min
4/26/2026, 5:20:44 AM2 trades$63 min
4/26/2026, 5:42:26 AM2 trades$90 min
4/26/2026, 10:41:34 PM1 trades$50 min
4/27/2026, 4:15:22 AM13 trades$1,5735 min
4/27/2026, 4:26:24 AM140 trades$7,73859 min
4/27/2026, 5:38:50 AM4 trades$341 min
4/27/2026, 5:48:56 AM11 trades$865 min
4/27/2026, 6:00:40 AM2 trades$1400 min
4/27/2026, 6:08:16 AM1 trades$40 min
4/27/2026, 6:23:06 AM6 trades$1566 min
4/27/2026, 6:53:54 AM4 trades$2633 min
4/27/2026, 7:03:06 AM2 trades$501 min
4/27/2026, 7:15:38 AM1 trades$200 min
4/27/2026, 7:41:08 AM7 trades$1386 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-17
04-22
04-28
05-02
05-05
05-09
05-12
05-15

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
57.6% sell
DCA Style
SINGLE
avg 1.6/mkt
Hedging
SINGLE
avg 2 br/event