Polydata

@0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9

#4,82888

0xae2e04fe9d8ccba5e45ba17ddf9dfbef498c40ad

26d· 485 markets · 2994 tradesVol: $763,6712026-05-17T15:12
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.

88
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 56%13/20
Profit Factor 32.32x15/15
Sharpe 0.52110/15
Sortino 45.73310/10
EV $+15.80710/10
HHI 16610/10
Profit Days 79%10/10
DD/Peak 0%10/10

Summary

The trader 0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9 is an active participant on Polymarket, ranking #4828 on the global PnL leaderboard with a net profit of $27,765.31. Over 252 days, they executed 2,994 trades across 370 markets, generating a total volume of $763,671. Despite a modest Sharpe ratio of 0.52, the trader maintains a stable portfolio value around $2,441.87 and has an elite Smart Score of 88/100, indicating strong trading acumen.

This trader predominantly focuses on weather-related markets, accounting for 96% of their activity, suggesting a specialized niche. Their win rate of 54.9% combined with a high profit factor of 25.96 points to a profitable strategy with effective risk management. The relatively low sell percentage of 19% and a bot score of 70/100 imply a blend of automated and manual trading, with a contrarian and dollar-cost averaging style reflected in their badges. Their trading pattern appears consistent and stable, without significant drawdowns.

0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9’s strengths lie in specialization and disciplined execution within weather markets on Polymarket, leveraging both automation and contrarian tactics. However, their concentrated focus on a single market type could pose risks if market conditions shift. Additionally, the flat equity trend suggests limited recent growth, which might indicate a need for strategy adaptation to enhance returns further.

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

Badges

9
Profitable
PnL $+27,765
Lottery Player
83% entries <$0.20
Contrarian
91% entries <$0.50
DCA Master
avg 6.5 entries/market
Weather Pro
96% weather
Bot
Score 70/100
Win Streak
7 wins in a row
Consistent
15/19 days
Cool Head
DD 0%

Categories

6
🌤️ WEATHER#59$20,237Vol: $712,162
💰 FINANCE#615$7,547Vol: $21,886
📢 MENTIONS#11,938$28Vol: $16,602
🎭 CULTURE#695,090$-21Vol: $10,947
🏛️ POLITICS#1,309,484$-21Vol: $2,065
CRYPTO#965,769$-5Vol: $9

Overview

#1
Net PnL
$27,765
Polymarket official
Total Volume
$763,671
Total Redeem
$6,059
Portfolio
$2,442
Predictions
485
total markets
Trades
2415B / 579S
Daily Volume
$94
Account Age
26d
since Apr 22, 2026

Periods

#2
Today
$-411
Vol: $41,219
Week
$1,932
Vol: $41,219
Month
$29,917
Vol: $667,965
All Time
$27,765
Vol: $763,671

PnL Analysis

#3
Win Rate (events)
57%
88W / 66L events
Realized PnL
$42,426
Win Rate
55%
112W / 92L
Profit Factor
25.96x
Avg Win
$349
Avg Loss
$-16

Outlier Sensitivity: Top-3 = $24,329 (64.7% of PnL)

Top Winners

Will the highest temperature in Taipei be 24°C on May 4?$17,494
Will Fervo Energy not IPO before July 2026?$4,675
Will Natural Gas (NG) hit (LOW) $2.10 Week of May 11 2026?$2,160
Will the highest temperature in Hong Kong be 25°C on May 10?$1,890
Will the highest temperature in Tokyo be 25°C or higher on May 10$1,748
Will the highest temperature in Hong Kong be 26°C on May 10?$1,543
Will the highest temperature in Seoul be 24°C on May 16?$879
Will Natural Gas (NG) hit (LOW) $2.30 Week of May 11 2026?$713
Will NYC have between 2 and 3 inches of precipitation in May?$554
Will the highest temperature in Hong Kong be 30°C on May 8?$507

Top Losers

Will the highest temperature in Paris be 25°C on May 2?$-296
Will the highest temperature in Shenzhen be 26°C on May 4?$-196
Will the highest temperature in Paris be 26°C on May 2?$-171
Will the highest temperature in Paris be 21°C on May 3?$-158
Will the highest temperature in Paris be 20°C on May 3?$-139
Will the highest temperature in Shenzhen be 28°C on May 2?$-116
Will the highest temperature in Istanbul be 14°C on May 4?$-50
Will the highest temperature in Ankara be 22°C on May 13?$-47
Will the highest temperature in Singapore be 30°C on May 4?$-46
Will the highest temperature in Ankara be 7°C on May 4?$-40

Risk Metrics

#4
Sharpe
0.521
Sortino
45.733
HHI
166
Diversified
EV per $1
$15.807
Kelly %
48.5%
Half-Kelly
24.3%
Top-1 market
8.5%
Top-5 markets
20.5%

Behavior Analysis

#5
Trades / Day
194.7
Very active
Markets / Day
24.1
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
41s
between trades
Avg Gap
7.5m
between trades
Night Trading
39%
22:00–06:00 UTC
Size Variance
3.54
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
4.5

Bot Detection

#6
70
BOT (automated trading)HIGH probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 41s — typical for humanSize CV 3.54 — diverse, typical for human39% at night — bot never sleeps24/24 hours — around the clockSession CV 1.17 — human randomness195 trades/day — automation24 markets/day — mass coverage

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
6.5
Active DCA
<=1
92 entries
<=2
147 entries
<=5
231 entries
<=10
304 entries
<=20
352 entries
<=50
368 entries
>50
2 entries

Price Levels

#9
Low (<20c)82.9%
Mid (20-55c)10.3%
High (>55c)6.7%

City Stats

#10

YES bias: 76.6%

Taipei$17,509
Other$7,547
Hong Kong$4,083
Tokyo$2,072
Ankara$1,742
Seoul$1,357
Lagos$712
New York City$710
Madrid$636
London$505
Toronto$477
Shanghai$257
Shenzhen$190
Istanbul$182
Singapore$136
Busan$99
Wellington$61
Atlanta$27

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
175

Moderate coverage

<=1
76 brackets
<=2
119 brackets
<=3
146 brackets
<=4
167 brackets
<=5
173 brackets
<=8
175 brackets
>8
0 brackets

Sessions

#12
5/2/2026, 6:08:38 AM2 trades$761 min
5/2/2026, 6:34:50 AM1 trades$20 min
5/2/2026, 6:43:16 AM2 trades$240 min
5/2/2026, 6:58:18 AM2 trades$190 min
5/2/2026, 11:07:58 AM3 trades$974 min
5/2/2026, 11:22:28 AM12 trades$2578 min
5/2/2026, 1:43:52 PM5 trades$1120 min
5/2/2026, 1:55:52 PM2 trades$220 min
5/2/2026, 2:19:14 PM10 trades$3787 min
5/3/2026, 4:16:52 AM1 trades$00 min
5/3/2026, 4:48:20 AM4 trades$2003 min
5/3/2026, 5:03:08 AM1 trades$2230 min
5/3/2026, 6:47:10 AM1 trades$100 min
5/3/2026, 12:32:42 PM1 trades$360 min
5/3/2026, 1:13:32 PM2 trades$40 min
5/3/2026, 2:28:54 PM3 trades$33 min
5/3/2026, 2:43:56 PM13 trades$5338 min
5/3/2026, 2:56:54 PM2 trades$1104 min
5/3/2026, 3:43:34 PM1 trades$4230 min
5/3/2026, 3:53:24 PM2 trades$292 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-23
05-04
05-07
05-10
05-14
05-17
12-31

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

Profile

#14
Specialization
WEATHER
96.2% weather
Holding Style
ACTIVE SELLER
19.3% sell
DCA Style
HEAVY
avg 6.5/mkt
Hedging
SINGLE
avg 2.1 br/event