Polydata
Abandoned-Pipe

@Abandoned-Pipe

#10,42574

0x937bcac3a8a30c07d827ad0550c3fe3a6756bfab

125d· 3605 markets · 2049 tradesVol: $3,514,8752026-06-07T11:35
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.

74
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 100%20/20
Profit Factor 0.05x0/15
Sharpe 0.75414/15
Sortino 157482.71110/10
HHI 10110/10
Profit Days 99%10/10
DD/Peak 4%10/10

Summary

Abandoned-Pipe is a moderately active trader on Polymarket, ranked #10425 on the global PnL leaderboard with a net profit of $12,655.60. Over 95 days, they completed 2,049 trades across 445 markets, generating a total trading volume of about $3.5 million. Their overall performance is solid, reflected in a Smart Score of 74/100, indicating very good trading acumen, although their portfolio currently holds no open positions.

This trader specializes exclusively in weather markets, demonstrating a focused and niche approach. Abandoned-Pipe maintains a relatively balanced risk profile with a win rate near 70% and a Sharpe ratio of 0.75, suggesting moderate risk-adjusted returns. Their trading style appears consistent and stable over time, as indicated by a flat equity trend and zero days of max drawdown duration. The combination of bot and manual trading methods supports a disciplined execution, with a sell rate of 45% showing a mix of holding and timely exits.

Abandoned-Pipe’s strengths lie in their specialization and consistent profitability within weather markets, supported by badges like Sniper and Weather Pro. However, the low profit factor of 0.05 signals potential inefficiencies or small margins per trade, which could limit scalability. The semi-automated strategy may also expose them to risks from market volatility or technical glitches. Overall, Abandoned-Pipe’s focused expertise is a key advantage, but managing profit factor and maintaining adaptability remain important considerations.

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

Badges

8
Sniper
Win Rate 100%
Profitable
PnL $+12,656
Weather Pro
100% weather
Win Streak
76 wins in a row
Whale
$459,297
Consistent
82/83 days
High Roller
$4,835/day
Cool Head
DD 4%

Categories

1
🌤️ WEATHER#107$12,656Vol: $3,514,875

Overview

#1
Net PnL
$12,656
Polymarket official
Total Volume
$3,514,875
Total Redeem
$20,610
Portfolio
$0
Predictions
3605
total markets
Trades
1126B / 923S
Daily Volume
$4,835
Account Age
125d
since Feb 2, 2026

Periods

#2
Today
$293
Vol: $2,500
Week
$1,133
Vol: $2,500
Month
$1,133
Vol: $29,921
All Time
$12,656
Vol: $3,514,875

PnL Analysis

#3
Win Rate (events)
100%
211W / 1L events
Realized PnL
$13,779
Win Rate
69%
308W / 136L
Profit Factor
0.05x
Avg Win
$23
Avg Loss
$-1,106

Top Winners

Will the highest temperature in Buenos Aires be 27°C or higher on$881
Will the highest temperature in Taipei be 29°C on April 21?$387
Will the highest temperature in Karachi be 35°C on May 22?$324
Will the highest temperature in Karachi be 36°C or higher on May $299
Will the highest temperature in Taipei be 34°C on June 7?$293
Will the highest temperature in Paris be 22°C on April 15?$243
Will the highest temperature in Atlanta be between 84-85°F on May$236
Will the highest temperature in Amsterdam be 19°C on June 3?$215
Will the highest temperature in Shenzhen be 32°C on May 28?$210
Will the highest temperature in Toronto be 20°C on April 13?$157

Top Losers

Will the highest temperature in Munich be 8°C on March 14?$-17,908
Will the highest temperature in Atlanta be 65°F or below on March$-10,748
Will the highest temperature in Shanghai be 14°C on March 14?$-9,175
Will the highest temperature in Atlanta be between 68-69°F on Mar$-8,627
Will the highest temperature in Shenzhen be 27°C on March 26?$-7,500
Will the highest temperature in Wellington be 19°C on March 6?$-6,772
Will the highest temperature in Toronto be 7°C on March 11?$-6,383
Will the highest temperature in Karachi be 41°C or higher on May $-5,088
Will the highest temperature in Seoul be 5°C on March 11?$-5,054
Will the highest temperature in Moscow be 9°C or higher on April $-4,592

Risk Metrics

#4
Sharpe
0.754
Sortino
inf
HHI
101
Diversified
EV per $1
$-0.312
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
4%
Top-5 markets
16.5%

Behavior Analysis

#5
Trades / Day
21.9
Active
Markets / Day
4.8
Active Hours
24/24
Around the clock
Peak Hour
8:00 UTC
Median Gap
1.3m
between trades
Avg Gap
58.2m
between trades
Night Trading
27%
22:00–06:00 UTC
Size Variance
2.37
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
3.9

Bot Detection

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

6 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 75s — typical for humanSize CV 2.37 — diverse, typical for human27% at night — bot never sleeps24/24 hours — around the clockSession CV 1.18 — human randomness22 trades/day — suspiciously high

Timing Patterns

#7

Peak hour: 8:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.5
Moderate DCA
<=1
251 entries
<=2
336 entries
<=5
413 entries
<=10
440 entries
<=20
444 entries
<=50
444 entries
>50
1 entries

Price Levels

#9
Low (<20c)0.4%
Mid (20-55c)0.2%
High (>55c)99.5%

City Stats

#10

YES bias: 12.8%

Tel Aviv$108
Lagos$35
Ankara$33
Chicago$16
Los Angeles$11
Beijing$3
Guangzhou$3
Dallas$0
Qingdao$0
Istanbul$0
London$-1
Miami$-6
Madrid$-43
Chongqing$-52
New York City$-60
Lucknow$-116
Jeddah$-185
Jakarta$-187

Bracket Analysis

#11
Avg brackets/event
1.3
Events covered
344

Single bracket

<=1
272 brackets
<=2
327 brackets
<=3
336 brackets
<=4
341 brackets
<=5
343 brackets
<=8
344 brackets
>8
0 brackets

Sessions

#12
3/5/2026, 2:23:31 PM1 trades$8510 min
3/5/2026, 11:10:47 PM3 trades$6,7722 min
3/6/2026, 10:33:03 AM1 trades$2510 min
3/6/2026, 12:00:27 PM3 trades$6380 min
3/6/2026, 2:23:31 PM4 trades$9027 min
3/6/2026, 2:39:13 PM1 trades$1000 min
3/6/2026, 2:45:55 PM2 trades$570 min
3/6/2026, 2:51:19 PM2 trades$714 min
3/6/2026, 3:14:51 PM1 trades$50 min
3/6/2026, 3:24:45 PM2 trades$7074 min
3/6/2026, 3:45:21 PM1 trades$2900 min
3/8/2026, 3:57:55 PM6 trades$4,9756 min
3/9/2026, 12:53:39 PM1 trades$1,0230 min
3/11/2026, 4:34:47 AM2 trades$3,9452 min
3/11/2026, 5:01:09 AM2 trades$1,1091 min
3/11/2026, 11:39:13 PM4 trades$8,9070 min
3/12/2026, 12:00:37 AM1 trades$9990 min
3/12/2026, 2:58:05 PM2 trades$3,0340 min
3/13/2026, 3:01:13 AM13 trades$4,9204 min
3/13/2026, 3:14:03 AM1 trades$1270 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
03-04
03-20
04-09
04-24
05-07
05-21
06-03
06-07

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
45% sell
DCA Style
MODERATE
avg 2.5/mkt
Hedging
SINGLE
avg 1.3 br/event