Polydata

@0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9

#5,74090

0xae2e04fe9d8ccba5e45ba17ddf9dfbef498c40ad

76d· 525 markets · 3057 tradesVol: $818,1002026-07-08T13:10
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.

90
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 61%15/20
Profit Factor 39.12x15/15
Sharpe 0.5029/15
Sortino 33.16010/10
EV $+41.32610/10
HHI 15710/10
Profit Days 75%10/10
DD/Peak 1%10/10

Summary

The Polymarket trader known as 0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9 ranks #5740 on the global PnL leaderboard with a net profit of $27,157. Over 252 days, they executed 3,057 trades across 391 markets, accumulating a total volume of $818,100. Their win rate stands at 56.9%, supported by a strong profit factor of 19.38 and an elite Smart Score of 90. Despite a sizable trading footprint, their portfolio value is currently zero, and their Sharpe ratio is moderate at 0.50.

This trader demonstrates a preference for weather-related markets, with 96% of their activity focused there. Their trading style includes a contrarian approach combined with dollar-cost averaging, as reflected in their badges. They maintain a relatively low sell percentage of 20%, indicating a buy-and-hold or long-duration position bias. The short max drawdown duration of zero days suggests disciplined risk management and timely exits. Their Bot Score of 70 implies some degree of automation in their trading strategy.

Strengths of 0xa5Ed1Fa8CC5bA17DbF9dgS2c40aB8sC9e04fE9 include high consistency and profitability in niche markets, backed by an elite Smart Score and a strong profit factor. However, their flat equity trend and zero portfolio value highlight potential liquidity constraints or recent position closures. The reliance on weather markets may also expose them to sector-specific risks, which could impact performance in volatile conditions.

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

Badges

10
Sniper
Win Rate 61%
Profitable
PnL $+27,157
Lottery Player
82% entries <$0.20
Contrarian
90% entries <$0.50
DCA Master
avg 6.3 entries/market
Weather Pro
96% weather
Bot
Score 70/100
Win Streak
12 wins in a row
Consistent
15/20 days
Cool Head
DD 1%

Categories

6
🌤️ WEATHER#77$19,850Vol: $761,473
💰 FINANCE#691$7,547Vol: $21,886
📢 MENTIONS#165,738$-330Vol: $16,602
🎭 CULTURE#17,185$135Vol: $14,062
🏛️ POLITICS#1,424,833$-40Vol: $4,069
CRYPTO#1,020,561$-5Vol: $9

Overview

#1
Net PnL
$27,157
Polymarket official
Total Volume
$818,100
Total Redeem
$5,883
Portfolio
$0
Predictions
525
total markets
Trades
2456B / 601S
Daily Volume
$97
Account Age
76d
since Apr 22, 2026

PnL Analysis

#3
Win Rate (events)
62%
97W / 60L events
Realized PnL
$42,989
Win Rate
57%
119W / 90L
Profit Factor
19.38x
Avg Win
$330
Avg Loss
$-23

Outlier Sensitivity: Top-3 = $24,329 (65.3% 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 Ankara be 13°C or higher on May 5$-179
Will the highest temperature in Paris be 26°C on May 2?$-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 Busan be 21°C on May 5?$-132
Will the highest temperature in Shenzhen be 28°C on May 2?$-116
Will the highest temperature in Tokyo be 22°C on May 5?$-92
Will the highest temperature in Hong Kong be 25°C on May 17?$-85

Risk Metrics

#4
Sharpe
0.502
Sortino
33.160
HHI
157
Diversified
EV per $1
$41.326
Kelly %
50.1%
Half-Kelly
25.0%
Top-1 market
8.2%
Top-5 markets
19.8%

Behavior Analysis

#5
Trades / Day
155.4
Very active
Markets / Day
19.9
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
44s
between trades
Avg Gap
8.4m
between trades
Night Trading
39%
22:00–06:00 UTC
Size Variance
3.48
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
3.3

Bot Detection

#6
70
BOT (automated trading)HIGH probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 44s — typical for humanSize CV 3.48 — diverse, typical for human39% at night — bot never sleeps24/24 hours — around the clockSession CV 1.19 — human randomness155 trades/day — automation20 markets/day — mass coverage

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
6.3
Active DCA
<=1
98 entries
<=2
160 entries
<=5
253 entries
<=10
326 entries
<=20
373 entries
<=50
389 entries
>50
2 entries

Price Levels

#9
Low (<20c)81.9%
Mid (20-55c)10.6%
High (>55c)7.5%

City Stats

#10

YES bias: 76.7%

Taipei$17,508
Other$7,707
Hong Kong$4,211
Tokyo$1,972
Ankara$1,376
Seoul$1,243
New York City$720
Madrid$640
Lagos$637
Toronto$575
London$511
Shanghai$301
Shenzhen$242
Istanbul$182
Singapore$150
Wellington$64
Atlanta$27
Jakarta$10

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
188

Moderate coverage

<=1
83 brackets
<=2
132 brackets
<=3
158 brackets
<=4
179 brackets
<=5
186 brackets
<=8
188 brackets
>8
0 brackets

Sessions

#12
5/2/2026, 3:53:48 AM1 trades$80 min
5/2/2026, 4:29:46 AM2 trades$51 min
5/2/2026, 5:11:40 AM2 trades$193 min
5/2/2026, 5:40:14 AM2 trades$832 min
5/2/2026, 5:48:28 AM4 trades$1165 min
5/2/2026, 6:08:38 AM2 trades$761 min
5/2/2026, 6:14:46 AM1 trades$40 min
5/2/2026, 6:25:26 AM1 trades$400 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, 7:47:56 AM2 trades$911 min
5/2/2026, 7:56:46 AM6 trades$420 min
5/2/2026, 8:02:00 AM4 trades$630 min
5/2/2026, 8:07:56 AM16 trades$44 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

Equity Curve

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

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

Profile

#14
Specialization
WEATHER
96.2% weather
Holding Style
ACTIVE SELLER
19.7% sell
DCA Style
HEAVY
avg 6.3/mkt
Hedging
SINGLE
avg 2.1 br/event