Polydata
Teeming-Biplane

@Teeming-Biplane

#6,90185

0x6a8d1709bfb718d8555d315a983c4816278350f9

125d· 9628 markets · 7248 tradesVol: $1,657,1992026-06-04T13:43
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.

85
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 42%6/20
Profit Factor 4.21x15/15
Sharpe 0.72714/15
Sortino 1.57510/10
EV $+2.28210/10
HHI 2510/10
Profit Days 89%10/10
DD/Peak 7%10/10

Summary

Teeming-Biplane is a highly active trader on Polymarket, with 7,248 trades across 873 markets over 274 days. Ranked #6901 on the global PnL leaderboard, they have accumulated a net profit of $19,573.79 from a total trading volume exceeding $1.65 million. Their Smart Score of 85/100 signals very good performance, supported by a strong win rate of 91.2% and an impressive profit factor of 31.88. Despite high trading activity, their portfolio value remains stable at $7,518.63, reflecting consistent but cautious growth.

This trader predominantly operates in weather markets, accounting for 99% of their trades, indicating a focused market preference. Teeming-Biplane exhibits a semi-automated trading style, combining bot and manual inputs, with a Bot Score of 65/100. Their risk profile appears moderate, with a Sharpe Ratio of 0.73 and minimal drawdown duration, suggesting controlled exposure. The trader favors holding positions longer (Diamond Hands) and uses strategies such as dollar-cost averaging, while keeping sell activity low at 10%, which aligns with a contrarian and lottery-player approach.

Teeming-Biplane’s strengths lie in their high win rate and disciplined execution, particularly in niche weather markets on Polymarket. Their stable equity trend and low drawdown duration reflect sound risk management. Potential risks include over-concentration in a single market type and reliance on semi-automated strategies, which could be vulnerable to market regime changes or bot performance issues. Nonetheless, their consistent profitability and diverse trading badges highlight a well-rounded and resilient trading profile.

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

Badges

10
Profitable
PnL $+19,574
Lottery Player
60% entries <$0.20
Contrarian
81% entries <$0.50
Diamond Hands
10% sell
DCA Master
avg 7.5 entries/market
Weather Pro
99% weather
Hedger
avg 2.2 brackets/event
Win Streak
33 wins in a row
Consistent
56/63 days
Cool Head
DD 7%

Categories

8
🌤️ WEATHER#64$19,645Vol: $1,617,558
🎭 CULTURE#701,147$-19Vol: $18,289
💰 FINANCE#559,327$-17Vol: $14,280
🏛️ POLITICS#158,283$12Vol: $3,583
CRYPTO#1,276,943$-43Vol: $1,736
📈 ECONOMICS#107,302$1Vol: $1,695
SPORTS#1,006,510$-2Vol: $54
📢 MENTIONS#87,430$-2Vol: $3

Overview

#1
Net PnL
$19,574
Polymarket official
Total Volume
$1,657,199
Total Redeem
$11,760
Portfolio
$7,519
Predictions
9628
total markets
Trades
6546B / 702S
Daily Volume
$99
Account Age
125d
since Jan 30, 2026

Periods

#2
Today
$96
Vol: $11,593
Week
$1,018
Vol: $88,709
Month
$1,018
Vol: $66,966
All Time
$19,574
Vol: $1,657,199

PnL Analysis

#3
Win Rate (events)
52%
304W / 281L events
Realized PnL
$51,095
Win Rate
91%
177W / 17L
Profit Factor
31.88x
Avg Win
$36
Avg Loss
$-12

Outlier Sensitivity: Top-3 = $1,299 (20.9% of PnL)

Top Winners

Will the highest temperature in Los Angeles be between 70-71°F on$463
Will the highest temperature in New York City be between 68-69°F $431
Will the highest temperature in Warsaw be 20°C on May 31?$405
Will the highest temperature in Hong Kong be 30°C on May 31?$353
Will the highest temperature in Lucknow be 33°C on June 1?$315
Will the highest temperature in Beijing be 33°C or below on June $292
Will the highest temperature in London be 23°C on June 1?$272
Will the highest temperature in Jeddah be 34°C on June 3?$237
Will the highest temperature in Amsterdam be 19°C on June 2?$226
Will the highest temperature in Milan be 30°C on June 1?$207

Top Losers

Will the highest temperature in Ankara be 23°C on June 1?$-62
Will the highest temperature in Atlanta be between 80-81°F on Jun$-25
Will the highest temperature in Houston be between 88-89°F on Jun$-20
Will the highest temperature in Shenzhen be 33°C on June 2?$-18
Will the highest temperature in Tel Aviv be 30°C on June 3?$-18
Will the highest temperature in Karachi be 34°C on May 31?$-11
Will the highest temperature in Miami be between 88-89°F on June $-11
Will the highest temperature in San Francisco be between 64-65°F $-8
Will the highest temperature in Miami be between 88-89°F on June $-6
Will the highest temperature in Miami be between 92-93°F on May 3$-6

Risk Metrics

#4
Sharpe
0.727
Sortino
1.575
HHI
25
Diversified
EV per $1
$2.282
Kelly %
89.2%
Half-Kelly
44.6%
Top-1 market
2.2%
Top-5 markets
5.1%

Behavior Analysis

#5
Trades / Day
88.9
Very active
Markets / Day
10.7
Active Hours
24/24
Around the clock
Peak Hour
6:00 UTC
Median Gap
59s
between trades
Avg Gap
2.9m
between trades
Night Trading
18%
22:00–06:00 UTC
Size Variance
1.60
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.1

Bot Detection

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

8 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 59s — typical for humanSize CV 1.60 — diverse, typical for human18% at night — different timezone?24/24 hours — around the clockSession CV 1.04 — human randomness89 trades/day — mass trading11 markets/day — mass coverage942 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 6:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.5
Active DCA
<=1
180 entries
<=2
311 entries
<=5
527 entries
<=10
681 entries
<=20
817 entries
<=50
867 entries
>50
6 entries

Price Levels

#9
Low (<20c)60.1%
Mid (20-55c)21.2%
High (>55c)18.7%

City Stats

#10

YES bias: 55.8%

Los Angeles$859
Warsaw$531
London$441
New York City$440
Amsterdam$380
Beijing$375
Hong Kong$356
Milan$353
Jeddah$338
Lucknow$318
Munich$235
Kuala Lumpur$181
Cape Town$133
Qingdao$109
Wellington$101
Tel Aviv$93
Panama City$89
Toronto$85

Bracket Analysis

#11
Avg brackets/event
2.2
Events covered
392

Moderate coverage

<=1
121 brackets
<=2
256 brackets
<=3
335 brackets
<=4
378 brackets
<=5
389 brackets
<=8
392 brackets
>8
0 brackets

Sessions

#12
3/14/2026, 11:41:29 PM1 trades$00 min
3/15/2026, 4:34:53 AM2 trades$00 min
3/15/2026, 8:11:15 AM1 trades$00 min
3/15/2026, 9:37:25 AM1 trades$00 min
3/15/2026, 9:48:47 AM1 trades$10 min
3/15/2026, 11:27:47 AM1 trades$00 min
3/15/2026, 11:56:45 AM7 trades$10 min
3/15/2026, 12:10:11 PM2 trades$00 min
3/15/2026, 1:30:45 PM1 trades$00 min
3/16/2026, 8:52:41 AM1 trades$00 min
3/17/2026, 9:56:31 AM1 trades$00 min
3/23/2026, 9:17:17 PM1 trades$30 min
3/23/2026, 9:22:27 PM1 trades$30 min
5/24/2026, 6:05:44 AM1 trades$20 min
5/24/2026, 6:47:11 AM1 trades$470 min
5/24/2026, 8:20:25 AM3 trades$60 min
5/24/2026, 9:11:14 AM1 trades$220 min
5/24/2026, 9:32:45 AM2 trades$72 min
5/24/2026, 11:13:51 AM1 trades$00 min
5/24/2026, 11:23:11 AM1 trades$00 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-01
04-16
04-26
05-06
05-16
05-26
06-04
06-05

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

Profile

#14
Specialization
WEATHER
99.1% weather
Holding Style
HOLD
9.7% sell
DCA Style
HEAVY
avg 7.5/mkt
Hedging
SINGLE
avg 2.2 br/event