Polydata
Data is 3 days old — refreshing in background...

@vip68

#4,55697

0x8d0930676d559cc8fb7d8af0c555791c1820143f

242d· 1641 markets · 3409 tradesVol: $6,246,0392026-07-01T01:12
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.

97
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 67%19/20
Profit Factor 16.58x15/15
Sharpe 0.70713/15
Sortino 9.55310/10
EV $+0.45210/10
HHI 18210/10
Profit Days 90%10/10
DD/Peak 1%10/10

Summary

Vip68 is an active trader on Polymarket, ranked #4556 on the global PnL leaderboard with a net profit of $34,530.63. Over 309 days, vip68 has executed 3,409 trades across 468 markets, accumulating a total trading volume of over $6.2 million. The trader holds an elite Smart Score of 97/100, reflecting strong performance and consistency, with a portfolio value currently at $73,562.83.

Vip68 predominantly focuses on weather markets, which make up 98% of their trades, indicating a specialized niche. The trader demonstrates a high win rate of 84.6%, combined with a relatively low profit factor of 0.19, suggesting many small wins rather than large payoffs. Their trading style mixes manual and automated strategies, as shown by a semi-bot score of 55/100, and they have a sell percentage of 26%. Vip68’s approach includes both contrarian and sniper tactics, with an emphasis on dollar-cost averaging and timing to manage risk.

The main strength of vip68 lies in their consistent upward equity trend and disciplined risk management, highlighted by a Sharpe ratio of 0.71 and zero days of max drawdown duration. However, reliance on the niche weather market and a low profit factor could limit upside potential. Additionally, the semi-automated nature of their trading may introduce variability in execution. Overall, vip68’s profile on Polymarket suggests a steady and specialized trader with a balanced approach to risk and reward.

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

Badges

11
Sniper
Win Rate 67%
Profitable
PnL $+34,531
Lottery Player
59% entries <$0.20
Contrarian
63% entries <$0.50
DCA Master
avg 5.4 entries/market
Weather Pro
99% weather
Win Streak
77 wins in a row
Whale
$318,871
Consistent
99/110 days
High Roller
$1,032/day
Cool Head
DD 1%

Categories

5
🌤️ WEATHER#38$30,351Vol: $2,812,167
CRYPTO#11,722$3,905Vol: $2,249,452
🏛️ POLITICS#38,384$261Vol: $105,312
🎭 CULTURE#59,370$13Vol: $10,000
💻 TECH#106,355$0Vol: $56

Overview

#1
Net PnL
$34,531
Polymarket official
Total Volume
$6,246,039
Total Redeem
$154,183
Portfolio
$73,563
Predictions
1641
total markets
Trades
2534B / 875S
Daily Volume
$1,032
Account Age
242d
since Nov 4, 2025

Periods

#2
Today
$26
Vol: $9,702
Week
$1,589
Vol: $164,893
Month
$26
Vol: $9,702
All Time
$34,531
Vol: $6,246,039

PnL Analysis

#3
Win Rate (events)
76%
174W / 56L events
Realized PnL
$35,302
Win Rate
85%
159W / 29L
Profit Factor
0.19x
Avg Win
$85
Avg Loss
$-2,403

Top Winners

Will the highest temperature in Beijing be 28°C on June 4?$1,240
Will the highest temperature in Beijing be 30°C on June 30?$793
Will the highest temperature in Chongqing be 28°C or below on Jun$732
Will the highest temperature in Guangzhou be 37°C on June 2?$608
Will the highest temperature in Shanghai be 28°C on June 13?$565
Will the highest temperature in Shanghai be 27°C on May 29?$485
Will the highest temperature in Guangzhou be 34°C on June 7?$484
Will the highest temperature in Beijing be 33°C or below on June $481
Will the highest temperature in Chengdu be 28°C on June 27?$475
Will the highest temperature in Guangzhou be 35°C or higher on Ju$471

Top Losers

Will the highest temperature in Shanghai be 26°C on April 9?$-14,238
Will the highest temperature in Shanghai be 16°C on April 7?$-10,005
Will the highest temperature in Shanghai be 27°C on May 25?$-9,269
Will the highest temperature in Beijing be 21°C on May 25?$-8,713
Will the highest temperature in Chengdu be 25°C on April 26?$-7,997
Will the price of Bitcoin be greater than $76,000 on March 5?$-5,023
Will the highest temperature in Shanghai be 28°C on May 27?$-4,066
Will the highest temperature in Chongqing be 29°C on May 22?$-1,314
Will the highest temperature in Guangzhou be 34°C on May 26?$-1,134
Will the highest temperature in Shanghai be 29°C on May 23?$-927

Risk Metrics

#4
Sharpe
0.707
Sortino
9.553
HHI
182
Diversified
EV per $1
$0.452
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
4.5%
Top-5 markets
17%

Behavior Analysis

#5
Trades / Day
26.9
Active
Markets / Day
3.7
Active Hours
24/24
Around the clock
Peak Hour
7:00 UTC
Median Gap
2.5m
between trades
Avg Gap
32.5m
between trades
Night Trading
46%
22:00–06:00 UTC
Size Variance
4.45
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.6

Bot Detection

#6
55
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 152s — typical for humanSize CV 4.45 — diverse, typical for human46% at night — bot never sleeps24/24 hours — around the clockSession CV 1.02 — human randomness27 trades/day — suspiciously high402 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
5.4
Active DCA
<=1
126 entries
<=2
200 entries
<=5
315 entries
<=10
405 entries
<=20
453 entries
<=50
467 entries
>50
1 entries

Price Levels

#9
Low (<20c)58.8%
Mid (20-55c)5.6%
High (>55c)35.6%

City Stats

#10

YES bias: 25.5%

Wuhan$893
Qingdao$114
Shenzhen$113
Seoul$41
Guangzhou$-608
Chongqing$-925
Other$-4,983
Beijing$-5,389
Chengdu$-8,348
Shanghai$-37,050

Bracket Analysis

#11
Avg brackets/event
2.1
Events covered
220

Moderate coverage

<=1
92 brackets
<=2
158 brackets
<=3
188 brackets
<=4
206 brackets
<=5
213 brackets
<=8
219 brackets
>8
1 brackets

Sessions

#12
2/24/2026, 7:08:32 AM1 trades$900 min
2/24/2026, 8:49:10 AM1 trades$90 min
2/24/2026, 12:33:24 PM1 trades$3970 min
2/24/2026, 1:35:20 PM1 trades$180 min
2/24/2026, 4:48:44 PM1 trades$60 min
2/25/2026, 3:32:02 AM1 trades$3600 min
2/28/2026, 10:13:49 AM1 trades$8800 min
2/28/2026, 1:27:49 PM3 trades$2191 min
2/28/2026, 3:03:31 PM1 trades$1,4810 min
2/28/2026, 5:12:47 PM2 trades$113 min
2/28/2026, 5:31:57 PM1 trades$20 min
2/28/2026, 8:31:37 PM1 trades$80 min
2/28/2026, 9:24:07 PM1 trades$350 min
3/1/2026, 6:43:19 AM1 trades$4330 min
3/1/2026, 8:52:13 AM4 trades$286 min
3/1/2026, 10:16:51 AM1 trades$50 min
3/1/2026, 3:01:41 PM1 trades$40 min
3/1/2026, 4:10:11 PM3 trades$3708 min
3/1/2026, 4:23:09 PM1 trades$500 min
3/1/2026, 5:16:55 PM2 trades$1261 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-25
03-19
04-12
05-03
05-25
06-12
07-01

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

Profile

#14
Specialization
WEATHER
98.5% weather
Holding Style
ACTIVE SELLER
25.7% sell
DCA Style
HEAVY
avg 5.4/mkt
Hedging
SINGLE
avg 2.1 br/event