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@vip68

#6,49971

0x8d0930676d559cc8fb7d8af0c555791c1820143f

198d· 963 markets · 5342 tradesVol: $5,464,9992026-05-15T18:38
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.

71
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 80%20/20
Profit Factor 0.01x0/15
Sharpe 0.57511/15
Sortino 3.13310/10
HHI 6710/10
Profit Days 97%10/10
DD/Peak 1%10/10

Summary

Trader vip68 is a moderately active participant on Polymarket, with 5,342 trades across 449 markets over 309 days. Ranked #6499 on the global PnL leaderboard, vip68 has accumulated a net profit of $19,667.49 on a total traded volume exceeding $5.4 million. The trader maintains a stable portfolio value around $1.28 and holds a Smart Score of 71/100, reflecting a very good overall performance. Despite a solid win rate of 69%, the profit factor is surprisingly low at 0.01, indicating tight margins or frequent small losses offset by gains.

Vip68’s strategy heavily favors weather-related markets, making up 89% of their trades. The trader exhibits a semi-automated style, blending bot-driven and manual approaches, as shown by a Bot Score of 65/100. With a sell percentage of only 16%, vip68 appears to hold positions longer, potentially using dollar-cost averaging tactics. The Sharpe ratio of 0.58 suggests moderate risk-adjusted returns, while a max drawdown duration of zero days indicates disciplined risk controls. Timing seems consistent without large equity swings, aligning with the badges earned, such as Sniper and DCA Master.

The main strengths of vip68 include a strong win rate, disciplined risk management, and focused expertise in weather markets, supported by relevant badges like Weather Pro and Hedger. However, the low profit factor and flat equity trend may signal limited upside or challenges in scaling profits. Additionally, the semi-bot trading style could introduce systematic risks if market conditions shift. Overall, vip68 demonstrates stable, steady trading performance with room for improvement in maximizing profitability on Polymarket.

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

Badges

10
Sniper
Win Rate 80%
Profitable
PnL $+19,667
DCA Master
avg 10.0 entries/market
Weather Pro
89% weather
Hedger
avg 2.7 brackets/event
Win Streak
132 wins in a row
Whale
$2,017,443
Consistent
76/78 days
High Roller
$6,529/day
Cool Head
DD 1%

Categories

5
CRYPTO#11,045$3,888Vol: $2,233,053
🌤️ WEATHER#80$15,506Vol: $2,047,526
🏛️ POLITICS#36,644$261Vol: $105,312
🎭 CULTURE#56,179$13Vol: $10,000
💻 TECH#99,430$0Vol: $56

Overview

#1
Net PnL
$19,667
Polymarket official
Total Volume
$5,464,999
Total Redeem
$680,159
Portfolio
$1
Predictions
963
total markets
Trades
4486B / 856S
Daily Volume
$6,529
Account Age
198d
since Nov 4, 2025

Periods

#2
Today
$23
Vol: $34,866
Week
$1,110
Vol: $326,735
Month
$3,701
Vol: $795,286
All Time
$19,667
Vol: $5,464,999

PnL Analysis

#3
Win Rate (events)
88%
156W / 22L events
Realized PnL
$21,012
Win Rate
69%
263W / 118L
Profit Factor
0.01x
Avg Win
$47
Avg Loss
$-10,731

Top Winners

Will the highest temperature in Shanghai be 27°C or higher on Apr$2,144
Will the highest temperature in Guangzhou be 18°C on May 9?$1,555
Will the highest temperature in Wuhan be 23°C on May 7?$1,222
Will the highest temperature in Chongqing be 27°C on April 30?$927
Will the highest temperature in Shanghai be 17°C on April 3?$866
Will the highest temperature in Wuhan be 24°C on May 7?$609
Will the highest temperature in Beijing be 22°C on May 3?$454
Will the highest temperature in Shanghai be 28°C on May 11?$446
Will the highest temperature in Guangzhou be 26°C on May 3?$394
Will the highest temperature in Shanghai be 21°C on April 1?$365

Top Losers

Will the price of Bitcoin be above $60,000 on March 26?$-29,970
Will the price of Bitcoin be above $56,000 on April 9?$-29,970
Will the price of Bitcoin be above $58,000 on April 11?$-29,970
Will the price of Bitcoin be above $62,000 on April 15?$-29,970
Will the price of Bitcoin be above $80,000 on March 28?$-29,970
Will the price of Bitcoin be less than $58,000 on April 12?$-29,969
Will the price of Bitcoin be above $60,000 on April 8?$-29,968
Will the price of Bitcoin be above $64,000 on April 19?$-29,968
Will the price of Ethereum be less than $1,600 on March 21?$-29,610
Will the price of Bitcoin be above $58,000 on April 8?$-28,096

Risk Metrics

#4
Sharpe
0.575
Sortino
3.133
HHI
67
Diversified
EV per $1
$-0.629
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2%
Top-5 markets
7.9%

Behavior Analysis

#5
Trades / Day
66.7
Very active
Markets / Day
5.6
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
58s
between trades
Avg Gap
20.7m
between trades
Night Trading
48%
22:00–06:00 UTC
Size Variance
3.50
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.7

Bot Detection

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

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 58s — typical for humanSize CV 3.50 — diverse, typical for human48% at night — bot never sleeps24/24 hours — around the clockSession CV 1.08 — human randomness67 trades/day — mass trading320 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
10
Active DCA
<=1
59 entries
<=2
93 entries
<=5
194 entries
<=10
292 entries
<=20
400 entries
<=50
448 entries
>50
1 entries

Price Levels

#9
Low (<20c)10.7%
Mid (20-55c)1.2%
High (>55c)88.1%

City Stats

#10

YES bias: 30.4%

Chongqing$73
Beijing$-4,489
Guangzhou$-5,660
Shenzhen$-9,980
Chengdu$-11,532
Wuhan$-23,308
Shanghai$-434,755
Other$-764,200

Bracket Analysis

#11
Avg brackets/event
2.7
Events covered
168

Moderate coverage

<=1
62 brackets
<=2
95 brackets
<=3
119 brackets
<=4
143 brackets
<=5
152 brackets
<=8
167 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
2/24/2026, 5:10:34 PM4 trades$1775 min
2/24/2026, 5:34:00 PM1 trades$10 min
2/24/2026, 5:54:14 PM3 trades$2838 min
2/24/2026, 6:13:56 PM1 trades$100 min
2/24/2026, 6:34:22 PM2 trades$182 min
2/24/2026, 6:53:30 PM3 trades$348 min
2/24/2026, 7:24:50 PM1 trades$1790 min
2/24/2026, 7:30:30 PM2 trades$1943 min
2/24/2026, 9:36:30 PM1 trades$130 min
2/25/2026, 3:01:24 AM1 trades$580 min
2/25/2026, 3:32:02 AM1 trades$3600 min
2/25/2026, 4:16:42 AM1 trades$980 min
2/25/2026, 5:16:48 AM1 trades$220 min
2/25/2026, 8:15:12 AM1 trades$110 min
2/25/2026, 9:18:50 AM1 trades$190 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-25
03-10
03-25
04-08
04-21
05-04

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

Profile

#14
Specialization
WEATHER
88.6% weather
Holding Style
ACTIVE SELLER
16% sell
DCA Style
HEAVY
avg 10/mkt
Hedging
SINGLE
avg 2.7 br/event