Polydata
Data is 21 days old — refreshing in background...
Dizzy-Jumpsuit

@Dizzy-Jumpsuit

#78,51861

0xee6d2979cb76a3101853dcaa3eb12acdec5b0c24

123d· 283 markets · 1314 tradesVol: $202,728 @Rakeshk872920852026-06-12T02:10
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.

61
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 41%5/20
Profit Factor 1.67x11/15
Sharpe 0.2334/15
Sortino 0.4074/10
EV $+1.37410/10
HHI 12110/10
Profit Days 58%7/10
DD/Peak 23%9/10

Summary

Dizzy-Jumpsuit is a moderately active trader on Polymarket, ranked #78,518 globally by net profit and maintaining a net PnL of $925.72 across 1,314 trades and 261 markets over 331 days. With a total trading volume exceeding $200,000, Dizzy-Jumpsuit shows consistent engagement but a modest overall return relative to activity. Their smart score of 61 out of 100 indicates a good level of trading skill, while the Sharpe ratio of 0.23 suggests limited risk-adjusted returns.

This trader demonstrates a balanced risk profile with a win rate just below 50% and a profit factor of 3.38, implying that winning trades generate significantly higher returns than losses. Dizzy-Jumpsuit appears to favor diverse markets rather than specializing, with no focus on weather markets and a relatively low sell percentage of 18%. Their trading style may lean toward contrarian strategies, as indicated by badges, and they maintain a steady equity trend with no prolonged drawdowns, suggesting disciplined timing and risk management.

Dizzy-Jumpsuit’s strengths include a good profit factor and a cool-headed approach, which help sustain profitability in a competitive Polymarket environment. However, the low Sharpe ratio and flat equity trend highlight potential limitations in scaling returns or adapting to market shifts. Additionally, a nearly even win-loss ratio and a moderate bot score suggest reliance on human decision-making that might not fully exploit algorithmic efficiencies.

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

Badges

5
Profitable
PnL $+926
Lottery Player
37% entries <$0.20
Contrarian
87% entries <$0.50
Win Streak
16 wins in a row
Cool Head
DD 23%

Categories

6
SPORTS#29,265$1,192Vol: $110,867
🎭 CULTURE#766,876$-130Vol: $27,334
📈 ECONOMICS#524,937$-3Vol: $27,200
🏛️ POLITICS#44,929$193Vol: $23,546
💰 FINANCE#612,438$-223Vol: $7,655
CRYPTO#1,290,049$-44Vol: $5,635

Overview

#1
Net PnL
$926
Polymarket official
Total Volume
$202,728
Total Redeem
$7,238
Portfolio
$0
Predictions
283
total markets
Trades
1083B / 231S
Daily Volume
$74
Account Age
123d
since Mar 1, 2026

Periods

#2
Week
$-5
Vol: $450
Month
$-94
Vol: $5,831
All Time
$926
Vol: $202,728

PnL Analysis

#3
Win Rate (events)
41%
101W / 143L events
Realized PnL
$6,674
Win Rate
49%
94W / 97L
Profit Factor
3.38x
Avg Win
$92
Avg Loss
$-26

Outlier Sensitivity: Top-3 = $1,416 (23.3% of PnL)

Top Winners

Indian Premier League: Sunrisers Hyderabad vs Rajasthan Royals$531
Indian Premier League: Royal Challengers Bangalore vs Delhi Capit$461
Indian Premier League: Delhi Capitals vs Gujarat Titans$424
National Cricket League, Women: South Australian Scorpions vs New$409
T20 Series New Zealand vs South Africa: New Zealand vs South Afri$294
T20I Series New Zealand vs South Africa, Women: New Zealand vs So$279
Indian Premier League: Delhi Capitals vs Mumbai Indians$244
Indian Premier League: Rajasthan Royals vs Sunrisers Hyderabad$233
Indian Premier League: Punjab Kings vs Delhi Capitals$217
Indian Premier League: Sunrisers Hyderabad vs Kolkata Knight Ride$197

Top Losers

Indian Premier League: Sunrisers Hyderabad vs Royal Challengers B$-107
National Cricket League, Women: New South Wales Breakers vs Queen$-95
Pakistan Super League: Hyderabad Kingsmen vs Rawalpindi Pindiz$-83
National T20 Cup: Multan Region vs Lahore Region Blues$-81
Indian Premier League: Punjab Kings vs Gujarat Titans$-80
Indian Premier League: Punjab Kings vs Lucknow Super Giants$-75
Pakistan Super League: Lahore Qalandars vs Hyderabad Kingsmen$-71
T20 Series Malaysia vs Bahrain: Malaysia vs Bahrain - Completed m$-70
Indian Premier League: Chennai Super Kings vs Kolkata Knight Ride$-69
Pakistan Super League: Lahore Qalandars vs Rawalpindi Pindiz$-64

Risk Metrics

#4
Sharpe
0.233
Sortino
0.407
HHI
121
Diversified
EV per $1
$1.374
Kelly %
15.8%
Half-Kelly
7.9%
Top-1 market
3.3%
Top-5 markets
14.9%

Behavior Analysis

#5
Trades / Day
11.0
Active
Markets / Day
2.2
Active Hours
24/24
Around the clock
Peak Hour
14:00 UTC
Median Gap
7.8m
between trades
Avg Gap
1.6h
between trades
Night Trading
24%
22:00–06:00 UTC
Size Variance
2.51
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
2.4

Bot Detection

#6
35
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 467s — typical for humanSize CV 2.51 — diverse, typical for human24% at night — different timezone?24/24 hours — around the clockSession CV 0.98 — human randomness11 trades/day — very active304 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 14:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.1
Moderate DCA
<=1
84 entries
<=2
144 entries
<=5
205 entries
<=10
242 entries
<=20
254 entries
<=50
261 entries
>50
0 entries

Price Levels

#9
Low (<20c)36.8%
Mid (20-55c)53.3%
High (>55c)9.9%

City Stats

#10

YES bias: 77%

Other$5,607
Lucknow$413
Hong Kong$59
Singapore$0

Bracket Analysis

#11
Avg brackets/event
1
Events covered
249

Single bracket

<=1
240 brackets
<=2
247 brackets
<=3
248 brackets
<=4
249 brackets
<=5
249 brackets
<=8
249 brackets
>8
0 brackets

Sessions

#12
2/8/2026, 1:17:23 PM1 trades$200 min
2/8/2026, 5:20:39 PM1 trades$40 min
2/11/2026, 11:03:55 AM2 trades$61 min
2/11/2026, 11:14:59 AM1 trades$20 min
2/13/2026, 9:56:49 AM1 trades$50 min
2/14/2026, 10:01:57 AM1 trades$60 min
2/14/2026, 10:15:03 AM1 trades$30 min
3/1/2026, 5:48:15 PM1 trades$10 min
3/2/2026, 1:28:23 AM1 trades$800 min
3/2/2026, 2:04:17 AM1 trades$2780 min
3/3/2026, 3:28:45 AM1 trades$300 min
3/3/2026, 6:56:15 AM2 trades$81 min
3/3/2026, 2:37:15 PM1 trades$20 min
3/3/2026, 3:14:25 PM23 trades$2117 min
3/3/2026, 3:36:13 PM1 trades$10 min
3/3/2026, 3:41:33 PM5 trades$261 min
3/3/2026, 4:11:53 PM1 trades$210 min
3/4/2026, 7:42:29 AM1 trades$260 min
3/4/2026, 7:48:09 AM3 trades$455 min
3/4/2026, 8:47:51 AM3 trades$54 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-04
03-14
04-04
04-22
05-12
06-02
11-07

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
17.6% sell
DCA Style
MODERATE
avg 4.1/mkt
Hedging
SINGLE
avg 1 br/event