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yuanZzhen

@yuanZzhen

#59,15243

0x6bf633e483ed85b5a73c5a387bdffdd100772529

120d· 3474 markets · 3941 tradesVol: $145,791 @polyweather_bot2026-07-05T05:36
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.

43
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 18%0/20
Profit Factor 1.27x6/15
Sharpe 0.1212/15
Sortino 0.2753/10
EV $+0.24310/10
HHI 6110/10
Profit Days 40%3/10
DD/Peak 25%9/10

Summary

YuanZzhen is a moderately active trader on Polymarket, with 3,941 trades spanning 1,635 markets over 409 days. Ranked #59,152 globally by net PnL, yuanZzhen has earned $1,612.71 with a total trading volume of $145,791. Their portfolio value stands at $487.39, and they maintain a stable equity trend, reflecting consistent, albeit modest, returns.

The trader focuses heavily on weather-related markets, comprising 77% of their activity, indicating a preference for niche, event-driven outcomes. YuanZzhen exhibits a conservative risk profile, evidenced by a low sell percentage of 4%, a high win rate of 95.2%, and a profit factor of 7.88. Their Sharpe ratio of 0.12 suggests limited volatility in returns. The semi-automated trading style, reflected in a bot score of 65/100, combines algorithmic precision with manual adjustments, allowing for timely entries and exits without aggressive speculation.

YuanZzhen’s key strength lies in their disciplined approach, demonstrated by a zero-day max drawdown duration and a strong winning streak. Their contrarian and diamond hands badges imply a capacity to hold positions confidently against prevailing trends. However, the flat equity trend and modest portfolio value suggest limited growth potential. Additionally, reliance on weather markets could expose them to event-specific volatility, representing a risk if not diversified.

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

Badges

6
Profitable
PnL $+1,613
Lottery Player
55% entries <$0.20
Contrarian
68% entries <$0.50
Diamond Hands
4% sell
Win Streak
75 wins in a row
Cool Head
DD 25%

Categories

9
🌤️ WEATHER#1,014$1,666Vol: $141,981
SPORTS#1,565,649$-61Vol: $2,561
🏛️ POLITICS#122,945$24Vol: $1,047
🎭 CULTURE#484,998$-1Vol: $118
📢 MENTIONS#117,772$-8Vol: $32
📈 ECONOMICS#112,743$1Vol: $21
CRYPTO#1,087,037$-8Vol: $14
💰 FINANCE#464,291$-1Vol: $9
💻 TECH#61,185$0Vol: $3

Overview

#1
Net PnL
$1,613
Polymarket official
Total Volume
$145,791
Total Redeem
$6,645
Portfolio
$487
Predictions
3474
total markets
Trades
3800B / 141S
Daily Volume
$29
Account Age
120d
since Mar 17, 2026

Periods

#2
Today
$1
Vol: $0
Week
$-40
Vol: $0
Month
$-71
Vol: $7,392
All Time
$1,613
Vol: $145,791

PnL Analysis

#3
Win Rate (events)
20%
193W / 768L events
Realized PnL
$5,517
Win Rate
95%
358W / 18L
Profit Factor
7.88x
Avg Win
$6
Avg Loss
$-15

Outlier Sensitivity: Top-3 = $421 (22.2% of PnL)

Top Winners

Will the highest temperature in Tokyo be 25°C or higher on May 10$223
Will the highest temperature in Guangzhou be 34°C on July 1?$106
Will the highest temperature in Shanghai be 28°C on June 30?$92
Will the highest temperature in Wuhan be 29°C or below on June 3?$65
Will the highest temperature in Wuhan be 30°C on June 18?$62
Will the highest temperature in Guangzhou be 36°C on June 2?$58
Will the highest temperature in Guangzhou be 35°C on June 2?$57
Will the highest temperature in Hong Kong be 31°C on May 21?$50
Will the highest temperature in Shenzhen be 32°C on June 11?$48
Will the highest temperature in Shenzhen be 31°C on June 11?$48

Top Losers

Will the highest temperature in Chongqing be 34°C on June 6?$-75
Will the highest temperature in Chongqing be 35°C or higher on Ju$-52
Will the highest temperature in Shanghai be 29°C on May 23?$-40
Will the highest temperature in Chengdu be 30°C on May 23?$-33
Will the highest temperature in Guangzhou be 34°C on June 7?$-22
Will the highest temperature in Paris be 28°C on May 22?$-20
Will the highest temperature in Beijing be 28°C on June 7?$-8
Will the highest temperature in Wuhan be 30°C on May 28?$-4
Will the highest temperature in Wuhan be 32°C on June 15?$-4
Will the highest temperature in Guangzhou be 31°C on June 26?$-4

Risk Metrics

#4
Sharpe
0.121
Sortino
0.275
HHI
61
Diversified
EV per $1
$0.243
Kelly %
90.7%
Half-Kelly
45.4%
Top-1 market
2.6%
Top-5 markets
10.3%

Behavior Analysis

#5
Trades / Day
36.2
Active
Markets / Day
15.0
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
2.5m
between trades
Avg Gap
36.4m
between trades
Night Trading
32%
22:00–06:00 UTC
Size Variance
2.29
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.3

Bot Detection

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

8 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
HIGH
Median gap 152s — typical for humanSize CV 2.29 — diverse, typical for human32% at night — bot never sleeps24/24 hours — around the clockSession CV 0.99 — human randomness36 trades/day — suspiciously high15 markets/day — mass coverage1503 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.3
Moderate DCA
<=1
1089 entries
<=2
1304 entries
<=5
1497 entries
<=10
1582 entries
<=20
1625 entries
<=50
1635 entries
>50
0 entries

Price Levels

#9
Low (<20c)54.5%
Mid (20-55c)15.9%
High (>55c)29.6%

City Stats

#10

YES bias: 48.8%

Guangzhou$460
Tokyo$270
Wuhan$196
Shanghai$174
Shenzhen$154
Chengdu$126
Beijing$110
Qingdao$84
Hong Kong$66
Busan$59
Madrid$51
Other$46
Ankara$39
Istanbul$18
Wellington$13
Seoul$11
Buenos Aires$6
Warsaw$5

Bracket Analysis

#11
Avg brackets/event
1.6
Events covered
1029

Single bracket

<=1
654 brackets
<=2
894 brackets
<=3
978 brackets
<=4
1008 brackets
<=5
1018 brackets
<=8
1027 brackets
>8
2 brackets

Sessions

#12
3/17/2026, 11:41:53 AM1 trades$50 min
3/17/2026, 12:44:49 PM2 trades$70 min
3/18/2026, 3:02:33 AM1 trades$60 min
3/18/2026, 6:43:19 AM1 trades$90 min
3/19/2026, 7:54:01 AM1 trades$40 min
3/21/2026, 12:49:33 PM1 trades$10 min
3/23/2026, 5:43:23 PM1 trades$20 min
3/23/2026, 6:10:07 PM1 trades$10 min
3/24/2026, 8:37:43 AM1 trades$10 min
3/24/2026, 11:28:51 AM2 trades$42 min
3/24/2026, 3:55:37 PM1 trades$10 min
3/25/2026, 7:11:37 AM1 trades$10 min
3/25/2026, 8:23:07 AM1 trades$50 min
3/25/2026, 8:38:59 AM1 trades$90 min
3/25/2026, 8:59:45 AM1 trades$20 min
3/25/2026, 9:08:53 AM3 trades$12 min
3/25/2026, 1:22:39 PM1 trades$10 min
3/25/2026, 1:51:07 PM1 trades$10 min
3/26/2026, 7:48:11 AM1 trades$60 min
3/26/2026, 10:16:55 AM1 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
04-06
04-25
05-14
06-03
06-25

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

Profile

#14
Specialization
MIXED
76.9% weather
Holding Style
HOLD
3.6% sell
DCA Style
MODERATE
avg 2.3/mkt
Hedging
SINGLE
avg 1.6 br/event