Polydata

@pootytherewardfarmer

#2,963,22613

0xa3e22cd32aa9238ef7dbcfb4761e33b9eaa1fdf8

689d· 52612 markets · 34086 tradesVol: $20,174,6172026-07-03T06:03
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.

13
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 23%0/20
Profit Factor 0.49x0/15
HHI 410/10
Profit Days 44%3/10
DD/Peak 270%0/10

Summary

Pootytherewardfarmer is a highly active trader on Polymarket, with over 34,000 trades executed across 8,668 markets over 1,050 days. Despite a substantial trading volume exceeding $20 million, the trader currently holds a net loss of approximately $202,000 and ranks #2,963,226 on the global PnL leaderboard. Their portfolio value stands at around $83,000, and they maintain a win rate of 63.3%, though their overall Sharpe ratio is negative at -0.23, reflecting volatility and risk in returns.

The trading style of pootytherewardfarmer shows a preference for weather-related markets, which constitute 31% of their activity. Their sell rate is relatively low at 24%, indicating a tendency to hold positions rather than frequently exit trades. The Smart Score of 13/100 suggests beginner-level decision-making, but the Bot Score of 65/100 implies a semi-automated approach combining algorithmic and manual inputs. The strategy appears contrarian, supported by their badges, and they tend to engage in high-volume, high-frequency trades with an upward equity trend.

Strengths of pootytherewardfarmer include consistent trading activity, a positive profit factor of 1.87, and an upward portfolio trend, which suggests resilience despite current losses. However, the large net PnL deficit and low ranking highlight significant risks and inefficiencies. Their semi-bot strategy may offer some automation benefits but could also expose the trader to systemic errors. Overall, pootytherewardfarmer demonstrates persistence and volume but faces challenges in converting activity into consistent profitability on Polymarket.

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

Badges

4
Lottery Player
34% entries <$0.20
Contrarian
67% entries <$0.50
Win Streak
8 wins in a row
Whale
$319,791

Categories

9
🏛️ POLITICS#1,614,727$-50,789Vol: $7,190,348
🎭 CULTURE#804,551$-26,790Vol: $3,746,323
📢 MENTIONS#170,287$-15,686Vol: $1,848,349
💰 FINANCE#643,721$-48,019Vol: $1,814,779
🌤️ WEATHER#287,993$-24,109Vol: $1,754,482
CRYPTO#1,617,445$-8,166Vol: $1,263,425
SPORTS#1,786,717$-11,876Vol: $981,406
📈 ECONOMICS#667,657$-7,040Vol: $620,535
💻 TECH#247,128$-4,517Vol: $551,154

Overview

#1
Net PnL
$-201,853
Polymarket official
Total Volume
$20,174,617
Total Redeem
$12,954
Portfolio
$83,143
Predictions
52612
total markets
Trades
26015B / 8071S
Daily Volume
$305
Account Age
689d
since Aug 14, 2024

Periods

#2
Today
$-314
Vol: $12,517
Week
$-7,862
Vol: $350,690
Month
$-3,941
Vol: $162,750
All Time
$-201,853
Vol: $20,174,617

PnL Analysis

#3
Win Rate (events)
18%
791W / 3519L events
Realized PnL
$26,277
Win Rate
63%
152W / 87L
Profit Factor
1.87x
Avg Win
$19
Avg Loss
$-18

Outlier Sensitivity: Top-3 = $263 (19.1% of PnL)

Top Winners

Will the highest temperature in Chongqing be 27°C on July 2?$92
Will the highest temperature in Miami be between 92-93°F on July $87
Will the highest temperature in Seoul be 28°C on July 2?$83
Will the highest temperature in Busan be 27°C on July 2?$76
Will Trump speak to Mohammed bin Salman in June?$71
Will the highest temperature in Ankara be 34°C on July 2?$69
Will the highest temperature in Guangzhou be 36°C on July 2?$67
Will Tesla deliver 475000 or more vehicles in Q2 2026$59
Will the lowest temperature in Tokyo be 22°C on July 2?$56
Will the highest temperature in Jeddah be 36°C on July 2?$53

Top Losers

Will the highest temperature in Shanghai be 30°C or higher on Jul$-78
Will the highest temperature in Helsinki be 20°C on July 2?$-60
Will the lowest temperature in Hong Kong be 27°C on July 2?$-58
Will the highest temperature in Toronto be 35°C on July 2?$-53
Will the highest temperature in Panama City be 34°C on July 2?$-52
Will Lime's market cap be between $1.7B and $2B at market close o$-51
Will the lowest temperature in London be 17°C on July 2?$-50
Will the highest temperature in Atlanta be between 98-99°F on Jul$-47
Will the highest temperature in Hong Kong be 32°C on July 2?$-47
Will the highest temperature in Munich be 27°C on July 2?$-46

Risk Metrics

#4
Sharpe
-0.232
Sortino
-0.223
HHI
4
Diversified
EV per $1
$-0.307
Kelly %
33.5%
Half-Kelly
16.7%
Top-1 market
0.3%
Top-5 markets
1.2%

Behavior Analysis

#5
Trades / Day
80.0
Very active
Markets / Day
20.3
Active Hours
24/24
Around the clock
Peak Hour
13:00 UTC
Median Gap
1.6m
between trades
Avg Gap
12.2m
between trades
Night Trading
23%
22:00–06:00 UTC
Size Variance
1.47
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.0

Bot Detection

#6
65
SEMI-BOT (bot + manual)MEDIUM probability

8 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 96s — typical for humanSize CV 1.47 — diverse, typical for human23% at night — different timezone?24/24 hours — around the clockSession CV 0.95 — human randomness80 trades/day — mass trading20 markets/day — mass coverage9408 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 13:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3
Moderate DCA
<=1
3661 entries
<=2
5445 entries
<=5
7550 entries
<=10
8327 entries
<=20
8628 entries
<=50
8665 entries
>50
2 entries

Price Levels

#9
Low (<20c)33.5%
Mid (20-55c)37.6%
High (>55c)28.9%

City Stats

#10

YES bias: 45.3%

Other$563
Miami$116
Chongqing$114
Ankara$105
Guangzhou$100
Paris$99
Busan$74
Seoul$74
Tokyo$72
Jeddah$66
Wuhan$58
Wellington$50
Shenzhen$49
Sao Paulo$48
London$39
Taipei$37
New York City$37
Chengdu$32

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
4113

Moderate coverage

<=1
2194 brackets
<=2
3108 brackets
<=3
3535 brackets
<=4
3803 brackets
<=5
3935 brackets
<=8
4050 brackets
>8
63 brackets

Sessions

#12
5/3/2025, 1:38:26 AM1 trades$140 min
5/5/2025, 2:25:04 AM1 trades$100 min
5/5/2025, 6:57:34 AM1 trades$00 min
5/5/2025, 7:06:06 AM1 trades$110 min
5/5/2025, 12:06:20 PM1 trades$120 min
5/5/2025, 11:11:15 PM1 trades$60 min
5/6/2025, 1:21:09 AM1 trades$180 min
5/6/2025, 4:26:45 AM2 trades$221 min
5/6/2025, 5:58:03 PM1 trades$80 min
5/7/2025, 12:53:58 AM1 trades$180 min
5/7/2025, 2:10:02 AM1 trades$140 min
5/10/2025, 8:31:02 AM1 trades$190 min
5/11/2025, 1:23:15 AM1 trades$60 min
5/15/2025, 7:12:30 PM1 trades$80 min
5/16/2025, 10:09:10 AM1 trades$80 min
5/16/2025, 2:51:15 PM1 trades$260 min
5/17/2025, 12:57:46 AM1 trades$100 min
5/17/2025, 3:18:01 AM1 trades$1180 min
5/17/2025, 4:57:35 AM1 trades$730 min
5/18/2025, 12:18:43 AM1 trades$70 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
04-25
02-13
05-29
07-05
07-20
10-28
08-14

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

Profile

#14
Specialization
MIXED
30.7% weather
Holding Style
ACTIVE SELLER
23.7% sell
DCA Style
MODERATE
avg 3/mkt
Hedging
SINGLE
avg 2.1 br/event