Polydata

@Deserted-Legging

#19,394100

0xf114b578bc08e5641d4cbfbb52e6e97b038d6ecc

165d· 2826 markets · 3014 tradesVol: $645,9772026-06-27T13:22
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 87%20/20
Profit Factor 48.80x15/15
Sharpe 0.91715/15
Sortino 350.07910/10
EV $+25.91310/10
HHI 40610/10
Profit Days 97%10/10
DD/Peak 0%10/10

Summary

Deserted-Legging is a highly active trader on Polymarket, with over 3,000 trades executed across 528 markets over 319 days. Ranked #19,394 globally by net profit and boasting a net PnL of $6,465.21, this trader maintains a stable portfolio value of $269.67. Their elite smart score of 100/100 reflects exceptional trading performance, supported by a remarkable win rate of 97.1% and a profit factor exceeding 100. Despite a large total trading volume of $645,977, their Sharpe ratio stands at 0.92, indicating moderate risk-adjusted returns.

The trading strategy of Deserted-Legging heavily favors weather-related markets, constituting 98% of their activity, which aligns with their “Weather Pro” badge. Their style blends automated and manual approaches, as indicated by a semi-bot score of 45/100, and they tend to execute trades with precision and timing, reflected in a 38% sell rate and badges like “Sniper” and “Consistent.” Their risk profile is relatively conservative, with no recorded drawdown duration and a steady equity trend, suggesting disciplined position sizing and risk management over time.

Key strengths of Deserted-Legging include exceptional consistency and a very high win rate, which contribute to a strong profit factor and a stable equity curve. However, their concentrated focus on weather markets may expose them to sector-specific volatility or thematic risks. Additionally, the semi-bot trading style, while effective, may face challenges adapting to sudden market shifts without full automation. Overall, Deserted-Legging’s data-driven approach and elite performance make them a notable trader to observe on Polymarket.

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

Badges

6
Sniper
Win Rate 87%
Profitable
PnL $+6,465
Weather Pro
98% weather
Win Streak
189 wins in a row
Consistent
102/105 days
Cool Head
DD 0%

Categories

7
🌤️ WEATHER#243$6,853Vol: $396,664
🎭 CULTURE#15,224$165Vol: $209,499
🏛️ POLITICS#1,502,731$-113Vol: $21,635
💰 FINANCE#627,381$-396Vol: $16,129
CRYPTO#1,346,473$-54Vol: $1,412
📈 ECONOMICS#38,984$10Vol: $569
SPORTS#888,732$-1Vol: $70

Overview

#1
Net PnL
$6,465
Polymarket official
Total Volume
$645,977
Total Redeem
$644
Portfolio
$270
Predictions
2826
total markets
Trades
1872B / 1142S
Daily Volume
$60
Account Age
165d
since Jan 13, 2026

Periods

#2
Today
$25
Vol: $1,461
Week
$-31
Vol: $18,747
Month
$2,026
Vol: $76,758
All Time
$6,465
Vol: $645,977

PnL Analysis

#3
Win Rate (events)
90%
256W / 29L events
Realized PnL
$10,608
Win Rate
97%
298W / 9L
Profit Factor
102.35x
Avg Win
$34
Avg Loss
$-11

Outlier Sensitivity: Top-3 = $732 (7.2% of PnL)

Top Winners

Will the highest temperature in New York City be between 90-91°F $319
Will the highest temperature in Helsinki be 16°C on May 28?$237
Will the highest temperature in London be 24°C on May 31?$176
Will the highest temperature in Manila be 37°C on April 29?$176
Will the highest temperature in Munich be 24°C or higher on June $174
Will the highest temperature in Lucknow be 36°C on May 31?$165
Will the highest temperature in Moscow be 15°C on May 2?$160
Will the highest temperature in Madrid be 30°C on June 6?$158
Will the highest temperature in Kuala Lumpur be 34°C on May 29?$143
Will the highest temperature in Madrid be 32°C on June 10?$141

Top Losers

Will the highest temperature in Manila be 36°C on June 20?$-67
Will the highest temperature in Buenos Aires be 25°C on April 17?$-14
Will the highest temperature in Atlanta be between 86-87°F on Jun$-6
Will the highest temperature in Sao Paulo be 28°C on April 30?$-5
Will the highest temperature in Madrid be 35°C on June 14?$-5
Will the highest temperature in Dallas be between 82-83°F on June$-1
Will the highest temperature in Singapore be 30°C on June 21?$-1
Will the highest temperature in London be 20°C on June 14?$-1
Will the highest temperature in Seoul be 29°C on June 19?$-0

Risk Metrics

#4
Sharpe
0.917
Sortino
350.079
HHI
406
Diversified
EV per $1
$25.913
Kelly %
95.4%
Half-Kelly
47.7%
Top-1 market
17.8%
Top-5 markets
32.2%

Behavior Analysis

#5
Trades / Day
40.5
Active
Markets / Day
7.1
Active Hours
24/24
Around the clock
Peak Hour
12:00 UTC
Median Gap
2.2m
between trades
Avg Gap
39.7m
between trades
Night Trading
17%
22:00–06:00 UTC
Size Variance
5.74
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.7

Bot Detection

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

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 131s — typical for humanSize CV 5.74 — diverse, typical for human17% at night — different timezone?24/24 hours — around the clockSession CV 0.94 — human randomness40 trades/day — suspiciously high311 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 12:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.5
Moderate DCA
<=1
125 entries
<=2
236 entries
<=5
429 entries
<=10
514 entries
<=20
527 entries
<=50
528 entries
>50
0 entries

Price Levels

#9
Low (<20c)24.1%
Mid (20-55c)24%
High (>55c)51.8%

City Stats

#10

YES bias: 56.6%

Moscow$938
Kuala Lumpur$575
Madrid$478
Warsaw$471
New York City$434
Helsinki$426
Sao Paulo$404
Munich$387
Taipei$379
Cape Town$370
Jeddah$340
Ankara$324
Guangzhou$310
London$273
Singapore$256
Lucknow$248
Milan$235
Wellington$223

Bracket Analysis

#11
Avg brackets/event
1.2
Events covered
442

Single bracket

<=1
363 brackets
<=2
435 brackets
<=3
442 brackets
<=4
442 brackets
<=5
442 brackets
<=8
442 brackets
>8
0 brackets

Sessions

#12
4/14/2026, 1:43:19 AM1 trades$70 min
4/14/2026, 1:51:13 AM1 trades$130 min
4/14/2026, 2:13:07 AM1 trades$50 min
4/14/2026, 2:55:37 AM6 trades$3095 min
4/14/2026, 3:07:37 AM5 trades$142 min
4/14/2026, 3:33:47 AM6 trades$1,0614 min
4/14/2026, 3:46:43 AM4 trades$420 min
4/14/2026, 5:25:13 AM3 trades$591 min
4/14/2026, 5:34:19 AM2 trades$300 min
4/15/2026, 1:30:42 AM1 trades$120 min
4/15/2026, 5:06:08 AM1 trades$970 min
4/15/2026, 5:16:48 AM3 trades$3,2953 min
4/15/2026, 6:18:18 AM1 trades$2,4260 min
4/15/2026, 6:34:56 AM1 trades$390 min
4/15/2026, 6:55:20 AM1 trades$1,0910 min
4/15/2026, 8:27:44 AM2 trades$103 min
4/15/2026, 8:56:46 AM1 trades$400 min
4/15/2026, 2:20:46 PM6 trades$665 min
4/15/2026, 8:46:24 PM7 trades$724 min
4/15/2026, 10:15:34 PM4 trades$210 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-15
03-17
04-12
05-02
05-25
06-12
06-27
09-30

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

Profile

#14
Specialization
WEATHER
97.9% weather
Holding Style
ACTIVE SELLER
37.9% sell
DCA Style
MODERATE
avg 3.5/mkt
Hedging
SINGLE
avg 1.2 br/event