Polydata

@Whopping-Columnist

#7,300100

0x8fb431f5057112cfdb0e7f566b4b687cb69cb9ed

42d· 493 markets · 3861 tradesVol: $415,0872026-05-19T10:06
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.

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

Score Components

Win Rate 83%20/20
Profit Factor 26.31x15/15
Sharpe 0.90015/15
Sortino 8.34310/10
EV $+25.32310/10
HHI 24510/10
Profit Days 91%10/10
DD/Peak 1%10/10

Summary

Whopping-Columnist is a highly active trader on Polymarket, ranking #7300 globally by net PnL with $17,609.06 earned over 36 days and 3,861 trades. Their total traded volume exceeds $415,000 across 313 markets, reflecting consistent engagement. Despite a portfolio value of zero at the snapshot, their smart score of 100/100 indicates elite trading acumen, supported by a solid Sharpe ratio of 0.90 and a profit factor of 1.48.

This trader focuses exclusively on weather markets, suggesting a specialized strategy. Whopping-Columnist maintains a moderate risk profile, evidenced by a 66.8% win rate and a relatively low sell percentage of 30%, signaling a preference for holding positions rather than frequent exits. Their trading style blends semi-automated bot assistance with manual input, allowing for timely decisions and adaptability. The absence of any drawdown duration highlights their ability to manage risk effectively in volatile markets.

Whopping-Columnist’s strengths lie in their disciplined execution, robust win rate, and upward equity trend, which suggest sustainable profitability on Polymarket. However, reliance on a single market category and semi-bot support could pose risks if weather market conditions shift unexpectedly or automation fails. Monitoring diversification and maintaining risk controls remain critical to their continued success.

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

Badges

11
Sniper
Win Rate 83%
Profitable
PnL $+17,609
Lottery Player
57% entries <$0.20
Contrarian
83% entries <$0.50
DCA Master
avg 8.7 entries/market
Weather Pro
100% weather
Win Streak
17 wins in a row
Whale
$64,130
Consistent
32/35 days
High Roller
$1,781/day
Cool Head
DD 1%

Categories

2
🌤️ WEATHER#68$17,609Vol: $414,465
💻 TECH#154,172$-0Vol: $622

Overview

#1
Net PnL
$17,609
Polymarket official
Total Volume
$415,087
Total Redeem
$16,400
Portfolio
$0
Predictions
493
total markets
Trades
2719B / 1142S
Daily Volume
$1,781
Account Age
42d
since Apr 8, 2026

Periods

#2
Today
$-0
Vol: $0
Week
$-0
Vol: $0
Month
$8,849
Vol: $190,283
All Time
$17,609
Vol: $415,087

PnL Analysis

#3
Win Rate (events)
86%
119W / 19L events
Realized PnL
$38,382
Win Rate
67%
137W / 68L
Profit Factor
1.48x
Avg Win
$187
Avg Loss
$-255

Outlier Sensitivity: Top-3 = $8,738 (105.2% of PnL)

Top Winners

Will the highest temperature in London be 12°C on May 10?$4,819
Will the highest temperature in London be 15°C on May 4?$1,990
Will the highest temperature in London be 13°C on May 10?$1,929
Will the highest temperature in London be 17°C on April 26?$1,241
Will the highest temperature in Madrid be 18°C or below on May 8?$1,033
Will the highest temperature in Madrid be 23°C on April 29?$717
Will the highest temperature in London be 16°C on April 22?$645
Will the highest temperature in London be 19°C on April 30?$549
Will the highest temperature in New York City be between 58-59°F $486
Will the highest temperature in Madrid be 17°C on May 9?$479

Top Losers

Will the highest temperature in London be 17°C on April 30?$-2,684
Will the highest temperature in London be 20°C on April 27?$-2,447
Will the highest temperature in London be 16°C on April 26?$-2,276
Will the highest temperature in London be 15°C on April 29?$-2,004
Will the highest temperature in London be 14°C on April 28?$-1,055
Will the highest temperature in London be 22°C on April 27?$-709
Will the lowest temperature in Seoul be 8°C or below on April 26?$-569
Will the highest temperature in London be 20°C on April 24?$-553
Will the highest temperature in New York City be between 54-55°F $-498
Will the highest temperature in Paris be 20°C on April 17?$-420

Risk Metrics

#4
Sharpe
0.900
Sortino
8.343
HHI
245
Diversified
EV per $1
$25.323
Kelly %
32.3%
Half-Kelly
16.1%
Top-1 market
8.4%
Top-5 markets
27.4%

Behavior Analysis

#5
Trades / Day
117.4
Very active
Markets / Day
9.5
Active Hours
24/24
Around the clock
Peak Hour
14:00 UTC
Median Gap
38s
between trades
Avg Gap
12.7m
between trades
Night Trading
1%
22:00–06:00 UTC
Size Variance
5.20
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
3.7

Bot Detection

#6
45
SEMI-BOT (bot + manual)MEDIUM probability

6 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 38s — typical for humanSize CV 5.20 — diverse, typical for human1% at night — normal sleep pattern24/24 hours — around the clockSession CV 1.18 — human randomness117 trades/day — automation

Timing Patterns

#7

Peak hour: 14:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
8.7
Active DCA
<=1
52 entries
<=2
105 entries
<=5
170 entries
<=10
226 entries
<=20
284 entries
<=50
307 entries
>50
6 entries

Price Levels

#9
Low (<20c)56.6%
Mid (20-55c)29.5%
High (>55c)13.9%

City Stats

#10

YES bias: 76.3%

Madrid$5,368
New York City$819
London$704
Dallas$651
Paris$543
Amsterdam$350
Toronto$252
Chicago$95
Munich$68
Lagos$48
Buenos Aires$27
Milan$23
Seattle$20
Istanbul$17
Taipei$0
Other$-0
Miami$-1
Jakarta$-2

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
147

Moderate coverage

<=1
55 brackets
<=2
105 brackets
<=3
126 brackets
<=4
138 brackets
<=5
145 brackets
<=8
147 brackets
>8
0 brackets

Sessions

#12
4/12/2026, 7:52:13 PM5 trades$390 min
4/12/2026, 8:23:41 PM1 trades$440 min
4/12/2026, 8:43:33 PM12 trades$134 min
4/12/2026, 8:55:39 PM5 trades$2308 min
4/12/2026, 9:10:33 PM15 trades$1136 min
4/12/2026, 9:27:15 PM1 trades$10 min
4/12/2026, 9:41:13 PM2 trades$351 min
4/12/2026, 10:30:25 PM3 trades$2794 min
4/12/2026, 11:55:31 PM3 trades$993 min
4/13/2026, 12:55:21 AM1 trades$4660 min
4/13/2026, 8:23:47 AM5 trades$24 min
4/13/2026, 8:33:37 AM4 trades$32 min
4/13/2026, 9:04:45 AM2 trades$61 min
4/13/2026, 7:53:11 PM1 trades$90 min
4/13/2026, 8:15:29 PM1 trades$160 min
4/14/2026, 7:54:25 AM1 trades$00 min
4/14/2026, 8:08:07 AM2 trades$132 min
4/14/2026, 8:16:27 AM16 trades$141 min
4/14/2026, 8:23:57 AM2 trades$43 min
4/14/2026, 8:32:39 AM3 trades$41 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-09
04-14
04-19
04-24
04-29
05-04
05-09

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

Profile

#14
Specialization
WEATHER
99.7% weather
Holding Style
ACTIVE SELLER
29.6% sell
DCA Style
HEAVY
avg 8.7/mkt
Hedging
SINGLE
avg 2.1 br/event