Polydata
Data is 3 days old — refreshing in background...
Abandoned-Pipe

@Abandoned-Pipe

#7,55975

0x937bcac3a8a30c07d827ad0550c3fe3a6756bfab

171d· 4100 markets · 3048 tradesVol: $3,984,8772026-07-20T15:29
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.

75
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 100%20/20
Profit Factor 0.19x0/15
Sharpe 0.85515/15
Sortino 156223.68010/10
HHI 6010/10
Profit Days 99%10/10
DD/Peak 3%10/10

Summary

Abandoned-Pipe is a moderately active trader on Polymarket with 3,048 trades across 487 markets over 138 days. Ranked #7559 globally on the PnL leaderboard, they have generated a net profit of $20,372.15 from nearly $4 million in volume. Their overall performance is solid, reflected in a Smart Score of 75/100 and a win rate of 67%, although their profit factor of 0.19 suggests relatively low profitability per unit of risk taken.

This trader focuses exclusively on weather markets, indicating a specialized approach. Abandoned-Pipe tends to sell more than buy, with a 60% sell rate, and maintains a relatively stable portfolio value without significant drawdowns. Their Sharpe ratio of 0.85 indicates moderate risk-adjusted returns, and their activity pattern suggests consistent engagement rather than sporadic bursts. The combination of badges like Sniper and Weather Pro supports a strategy that likely emphasizes precision timing and domain knowledge.

Abandoned-Pipe’s strengths lie in their focused market selection and disciplined trading style, which contribute to consistent profits and a low drawdown duration. However, the low profit factor and flat equity trend could signal limited upside potential or conservative risk management. Despite a very good Smart Score, the bot score indicates human-driven trading, which may affect speed but allows for nuanced decision-making. Overall, Abandoned-Pipe shows steady performance with room for scaling their edge in Polymarket weather markets.

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

Badges

8
Sniper
Win Rate 100%
Profitable
PnL $+20,372
Weather Pro
100% weather
Win Streak
21 wins in a row
Whale
$347,975
Consistent
111/112 days
High Roller
$2,522/day
Cool Head
DD 3%

Categories

1
🌤️ WEATHER#78$20,372Vol: $3,984,877

Overview

#1
Net PnL
$20,372
Polymarket official
Total Volume
$3,984,877
Total Redeem
$1,166
Portfolio
$1
Predictions
4100
total markets
Trades
1207B / 1841S
Daily Volume
$2,522
Account Age
171d
since Feb 2, 2026

Periods

#2
Today
$10
Vol: $2,089
Week
$10
Vol: $18,456
Month
$3,159
Vol: $198,353
All Time
$20,372
Vol: $3,984,877

PnL Analysis

#3
Win Rate (events)
100%
251W / 1L events
Realized PnL
$18,205
Win Rate
67%
306W / 151L
Profit Factor
0.19x
Avg Win
$33
Avg Loss
$-347

Top Winners

Will the highest temperature in Buenos Aires be 27°C or higher on$881
Will the highest temperature in New York City be between 88-89°F $467
Will the highest temperature in Taipei be 29°C on April 21?$406
Will the highest temperature in Karachi be 35°C on May 22?$314
Will the highest temperature in Taipei be 34°C on June 7?$293
Will the highest temperature in Karachi be 36°C or higher on May $288
Will the highest temperature in Paris be 22°C on April 15?$244
Will the highest temperature in Buenos Aires be 15°C on July 14?$226
Will the highest temperature in Atlanta be between 84-85°F on May$221
Will the highest temperature in Chicago be between 68-69°F on Jun$214

Top Losers

Will the highest temperature in Karachi be 41°C or higher on May $-5,088
Will the highest temperature in Moscow be 9°C or higher on April $-4,589
Will the lowest temperature in Seoul be 9°C on April 26?$-3,416
Will the highest temperature in Taipei be 28°C on April 17?$-2,840
Will the highest temperature in Taipei be 29°C on April 17?$-2,822
Will the lowest temperature in Seoul be 8°C or below on April 26?$-2,658
Will the highest temperature in Taipei be 29°C on April 26?$-1,630
Will the highest temperature in Toronto be 13°C on May 23?$-1,449
Will the highest temperature in Warsaw be 21°C on May 27?$-1,433
Will the highest temperature in Taipei be 35°C on May 25?$-1,138

Risk Metrics

#4
Sharpe
0.855
Sortino
inf
HHI
60
Diversified
EV per $1
$-0.125
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
4.2%
Top-5 markets
10.6%

Behavior Analysis

#5
Trades / Day
28.6
Active
Markets / Day
4.6
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
24s
between trades
Avg Gap
50.9m
between trades
Night Trading
24%
22:00–06:00 UTC
Size Variance
1.84
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
4.2

Bot Detection

#6
35
LIKELY HUMAN (fast interface)LOW probability

6 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 24s — typical for humanSize CV 1.84 — diverse, typical for human24% at night — different timezone?24/24 hours — around the clockSession CV 1.35 — human randomness29 trades/day — suspiciously high

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.5
Moderate DCA
<=1
205 entries
<=2
316 entries
<=5
456 entries
<=10
481 entries
<=20
486 entries
<=50
487 entries
>50
0 entries

Price Levels

#9
Low (<20c)0.3%
Mid (20-55c)0.1%
High (>55c)99.6%

City Stats

#10

YES bias: 13.2%

Chicago$360
Atlanta$329
New York City$265
Busan$151
Paris$98
Lagos$75
Denver$51
Shanghai$26
Beijing$18
San Francisco$11
Istanbul$3
Lucknow$1
Milan$1
Hong Kong$0
Sao Paulo$-4
Houston$-17
Seattle$-20
London$-25

Bracket Analysis

#11
Avg brackets/event
1.2
Events covered
407

Single bracket

<=1
338 brackets
<=2
398 brackets
<=3
405 brackets
<=4
407 brackets
<=5
407 brackets
<=8
407 brackets
>8
0 brackets

Sessions

#12
4/5/2026, 12:05:57 AM4 trades$6190 min
4/7/2026, 5:59:33 PM1 trades$5390 min
4/8/2026, 9:52:41 AM1 trades$5860 min
4/8/2026, 11:25:29 AM3 trades$1,5346 min
4/9/2026, 12:21:23 PM1 trades$4570 min
4/10/2026, 8:08:15 AM1 trades$9100 min
4/12/2026, 11:10:33 AM2 trades$1,0463 min
4/13/2026, 8:04:11 PM12 trades$3,6303 min
4/14/2026, 3:31:05 AM4 trades$4,8555 min
4/14/2026, 11:10:29 AM5 trades$3,0282 min
4/14/2026, 12:51:41 PM3 trades$1,1186 min
4/15/2026, 1:24:20 PM2 trades$3,1190 min
4/15/2026, 5:55:54 PM3 trades$1,6764 min
4/15/2026, 7:34:12 PM4 trades$91 min
4/15/2026, 7:44:18 PM3 trades$2525 min
4/15/2026, 10:15:28 PM3 trades$2,1025 min
4/16/2026, 5:01:08 AM8 trades$5,4593 min
4/16/2026, 11:20:52 AM1 trades$1730 min
4/16/2026, 11:26:46 AM1 trades$1900 min
4/17/2026, 2:32:10 AM5 trades$2,9404 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
03-04
04-03
04-26
05-14
06-06
06-27
07-17

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
60.4% sell
DCA Style
MODERATE
avg 2.5/mkt
Hedging
SINGLE
avg 1.2 br/event