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Teeming-Biplane

@Teeming-Biplane

#5,34519

0x6a8d1709bfb718d8555d315a983c4816278350f9

169d· 14498 markets · 24702 tradesVol: $2,383,7182026-07-15T12:02
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.

19
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 13%0/20
Profit Factor 0.98x2/15
HHI 610/10
Profit Days 56%6/10
DD/Peak 110%0/10

Summary

Teeming-Biplane is a moderately active trader on Polymarket with 269 days of trading experience, ranking #5345 on the global PnL leaderboard. Over this period, they have executed 24,702 trades across 3,296 markets, generating a net profit of $30,329.26 on a total volume of $2.38 million. Despite a relatively low smart score of 19/100, indicating a beginner level, Teeming-Biplane maintains a consistent upward equity trend with a portfolio value of $7,691.86.

This trader specializes exclusively in weather markets, demonstrating a focused strategy within a specific niche. Their trading style appears automated, supported by a bot score of 70/100, with a strong preference for holding positions rather than frequent selling, as evidenced by only 4% sell rate. Teeming-Biplane exhibits a high win rate of 91.5% and a profit factor of 14.71, suggesting a low-risk approach with steady gains over time rather than high volatility or aggressive timing.

Key strengths for Teeming-Biplane include a remarkable win rate and profitable consistency, bolstered by contrarian and dollar-cost averaging tactics. However, the negative Sharpe ratio (-0.02) and beginner smart score highlight potential risks related to risk-adjusted returns and strategic maturity. The zero-day max drawdown duration suggests effective risk management but also raises questions about exposure during market stress. Overall, Teeming-Biplane shows promise but may benefit from refinement in risk optimization on Polymarket.

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

Badges

9
Profitable
PnL $+30,329
Lottery Player
63% entries <$0.20
Contrarian
88% entries <$0.50
Diamond Hands
4% sell
DCA Master
avg 7.2 entries/market
Weather Pro
100% weather
Bot
Score 70/100
Win Streak
44 wins in a row
Whale
$102,839

Categories

8
🌤️ WEATHER#43$30,401Vol: $2,344,142
🎭 CULTURE#714,170$-19Vol: $18,289
💰 FINANCE#581,959$-17Vol: $14,280
SPORTS#1,070,057$-2Vol: $6,944
🏛️ POLITICS#165,129$11Vol: $3,524
CRYPTO#1,347,422$-43Vol: $1,730
📈 ECONOMICS#114,321$1Vol: $1,695
📢 MENTIONS#89,481$-2Vol: $3

Overview

#1
Net PnL
$30,329
Polymarket official
Total Volume
$2,383,718
Total Redeem
$12,422
Portfolio
$7,692
Predictions
14498
total markets
Trades
23603B / 1099S
Daily Volume
$382
Account Age
169d
since Jan 30, 2026

Periods

#2
Today
$375
Vol: $9,821
Week
$514
Vol: $58,878
Month
$1,878
Vol: $263,808
All Time
$30,329
Vol: $2,383,718

PnL Analysis

#3
Win Rate (events)
17%
339W / 1652L events
Realized PnL
$79,817
Win Rate
92%
195W / 18L
Profit Factor
14.71x
Avg Win
$31
Avg Loss
$-23

Outlier Sensitivity: Top-3 = $1,141 (20.3% of PnL)

Top Winners

Will the highest temperature in Wuhan be 39°C on July 14?$506
Will the highest temperature in Austin be between 90-91°F on July$320
Will the highest temperature in Hong Kong be 28°C on July 14?$314
Will the highest temperature in Sao Paulo be 19°C on July 14?$271
Will the highest temperature in Atlanta be between 84-85°F on Jul$260
Will the highest temperature in Lucknow be 34°C on July 11?$240
Will the highest temperature in Qingdao be 26°C on July 13?$160
Will the highest temperature in Warsaw be 27°C on July 14?$158
Will the highest temperature in Houston be between 84-85°F on Jul$156
Will the highest temperature in Toronto be 36°C on July 14?$144

Top Losers

Will the highest temperature in Shenzhen be 35°C on July 13?$-66
Will the highest temperature in Warsaw be 25°C on July 13?$-51
Will the highest temperature in Helsinki be 28°C on July 12?$-31
Will the highest temperature in Dallas be between 92-93°F on July$-30
Will the highest temperature in Austin be between 94-95°F on July$-29
Will the highest temperature in Toronto be 29°C on July 11?$-28
Will the highest temperature in Madrid be 33°C on July 13?$-27
Will the highest temperature in Los Angeles be between 78-79°F on$-25
Will the highest temperature in Warsaw be 23°C on July 14?$-25
Will the highest temperature in Toronto be 38°C on July 14?$-20

Risk Metrics

#4
Sharpe
-0.020
Sortino
-0.039
HHI
6
Diversified
EV per $1
$-0.023
Kelly %
87.0%
Half-Kelly
43.5%
Top-1 market
0.6%
Top-5 markets
1.8%

Behavior Analysis

#5
Trades / Day
201.6
Very active
Markets / Day
26.9
Active Hours
24/24
Around the clock
Peak Hour
7:00 UTC
Median Gap
1.4m
between trades
Avg Gap
3.5m
between trades
Night Trading
22%
22:00–06:00 UTC
Size Variance
1.68
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.1

Bot Detection

#6
70
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 84s — typical for humanSize CV 1.68 — diverse, typical for human22% at night — different timezone?24/24 hours — around the clockSession CV 1.04 — human randomness202 trades/day — automation27 markets/day — mass coverage3349 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 7:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.2
Active DCA
<=1
692 entries
<=2
1119 entries
<=5
1909 entries
<=10
2557 entries
<=20
3086 entries
<=50
3288 entries
>50
8 entries

Price Levels

#9
Low (<20c)62.6%
Mid (20-55c)25.7%
High (>55c)11.7%

City Stats

#10

YES bias: 66.5%

Wuhan$686
Hong Kong$377
Austin$332
Sao Paulo$330
Houston$300
Qingdao$297
Lucknow$288
Atlanta$259
Guangzhou$203
Los Angeles$201
Toronto$196
Miami$193
Ankara$151
Warsaw$147
Helsinki$141
Mexico City$138
San Francisco$136
Kuala Lumpur$104

Bracket Analysis

#11
Avg brackets/event
1.8
Events covered
1873

Single bracket

<=1
918 brackets
<=2
1517 brackets
<=3
1777 brackets
<=4
1860 brackets
<=5
1870 brackets
<=8
1873 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
04-06
04-26
05-13
06-01
06-16
07-01
07-16

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

Profile

#14
Specialization
WEATHER
99.8% weather
Holding Style
HOLD
4.4% sell
DCA Style
HEAVY
avg 7.2/mkt
Hedging
SINGLE
avg 1.8 br/event