Polydata

@Jubilant-Phrase

#4,98837

0xec86a2d3f69015b1a9382e4dfa8695e1b48760e4

120d· 9529 markets · 6107 tradesVol: $2,731,3362026-06-10T12:03
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.

37
Below Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 52%11/20
Profit Factor 1.05x3/15
Sharpe 0.0521/15
Sortino 0.0591/10
EV $+0.0261/10
HHI 3110/10
Profit Days 72%10/10
DD/Peak 105%0/10

Summary

Jubilant-Phrase is a moderately active trader on Polymarket, holding a global PnL rank of 4988 with a net profit of $28,972.44 over 61 days. With 6,107 trades across 661 markets and a total volume exceeding $2.7 million, Jubilant-Phrase demonstrates significant engagement. Despite a below-average smart score of 37/100, their portfolio value has been steadily increasing, reaching $46,711.95. The trader’s win rate stands at a solid 70%, though the profit factor of 0.89 suggests that losses have slightly outweighed gains relative to invested capital.

Jubilant-Phrase primarily focuses on weather markets, dedicating 100% of their trades to this niche. Their trading style is largely automated, supported by a bot score of 70/100, which aligns with a low sell percentage of just 9%, indicating a tendency to hold positions. The trader’s risk profile appears moderate, with a very low Sharpe ratio of 0.05, implying limited risk-adjusted returns, and no recorded drawdown days, suggesting disciplined loss management. The equity trend is upward, reflecting consistent portfolio growth.

Key strengths for Jubilant-Phrase include their high win rate, disciplined position holding, and specialization in weather markets, which may offer an informational edge. However, the below-average smart score and profit factor below 1 highlight efficiency concerns, while the low Sharpe ratio points to potential vulnerability during volatile periods. Jubilant-Phrase’s reliance on automated strategies also introduces risks if market conditions shift rapidly. Overall, this trader’s data suggests steady, cautious growth in a specialized domain on Polymarket.

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

Badges

9
Profitable
PnL $+28,972
Diamond Hands
9% sell
DCA Master
avg 8.4 entries/market
Weather Pro
100% weather
Bot
Score 70/100
Win Streak
11 wins in a row
Whale
$118,366
Consistent
38/53 days
High Roller
$1,940/day

Categories

2
🌤️ WEATHER#40$28,971Vol: $2,731,136
📢 MENTIONS#34,593$2Vol: $200

Overview

#1
Net PnL
$28,972
Polymarket official
Total Volume
$2,731,336
Total Redeem
$22,984
Portfolio
$46,712
Predictions
9529
total markets
Trades
5558B / 549S
Daily Volume
$1,940
Account Age
120d
since Feb 10, 2026

Periods

#2
Today
$1,315
Vol: $22,598
Week
$5,292
Vol: $193,914
Month
$10,085
Vol: $491,352
All Time
$28,972
Vol: $2,731,336

PnL Analysis

#3
Win Rate (events)
57%
254W / 195L events
Realized PnL
$40,146
Win Rate
70%
70W / 30L
Profit Factor
0.89x
Avg Win
$89
Avg Loss
$-236

Top Winners

Will the highest temperature in Cape Town be 17°C on June 9?$1,085
Will the highest temperature in Warsaw be 29°C on June 9?$633
Will the highest temperature in New York City be between 74-75°F $556
Will the highest temperature in Cape Town be 16°C on June 8?$511
Will the highest temperature in Seoul be 25°C on June 9?$379
Will the highest temperature in Panama City be 30°C on June 9?$356
Will the highest temperature in Panama City be 29°C on June 8?$315
Will the highest temperature in Jeddah be 36°C on June 9?$217
Will the highest temperature in Amsterdam be 22°C on June 8?$171
Will the highest temperature in Lucknow be 40°C or below on June $163

Top Losers

Will the highest temperature in Jeddah be 37°C on June 8?$-699
Will the highest temperature in Beijing be 24°C on June 9?$-640
Will the highest temperature in Singapore be 29°C on June 9?$-636
Will the highest temperature in Dallas be between 96-97°F on June$-613
Will the highest temperature in Helsinki be 21°C on June 8?$-500
Will the highest temperature in Warsaw be 22°C on June 8?$-484
Will the highest temperature in Tel Aviv be 31°C on June 8?$-413
Will the highest temperature in Helsinki be 21°C on June 9?$-274
Will the highest temperature in Karachi be 39°C on June 8?$-245
Will the highest temperature in Wellington be 15°C on June 9?$-244

Risk Metrics

#4
Sharpe
0.052
Sortino
0.059
HHI
31
Diversified
EV per $1
$0.026
Kelly %
14.8%
Half-Kelly
7.4%
Top-1 market
0.9%
Top-5 markets
4.1%

Behavior Analysis

#5
Trades / Day
226.7
Very active
Markets / Day
24.5
Active Hours
24/24
Around the clock
Peak Hour
9:00 UTC
Median Gap
18s
between trades
Avg Gap
9.5m
between trades
Night Trading
21%
22:00–06:00 UTC
Size Variance
1.14
Variable
Session Statistics
Sessions
50
Avg Duration
2 min
Avg Trades / Session
4.6

Bot Detection

#6
70
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 18s — typical for humanSize CV 1.14 — diverse, typical for human21% at night — different timezone?24/24 hours — around the clockSession CV 1.26 — human randomness227 trades/day — automation25 markets/day — mass coverage825 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 9:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
8.4
Active DCA
<=1
69 entries
<=2
134 entries
<=5
267 entries
<=10
468 entries
<=20
623 entries
<=50
661 entries
>50
0 entries

Price Levels

#9
Low (<20c)5.5%
Mid (20-55c)45.2%
High (>55c)49.3%

City Stats

#10

YES bias: 21.9%

Cape Town$1,557
Panama City$678
New York City$613
Seoul$457
Warsaw$240
Amsterdam$232
Miami$186
Lucknow$163
Seattle$130
Milan$107
Buenos Aires$76
San Francisco$66
Austin$26
London$10
Mexico City$6
Madrid$2
Manila$1
Istanbul$0

Bracket Analysis

#11
Avg brackets/event
1.9
Events covered
353

Single bracket

<=1
191 brackets
<=2
273 brackets
<=3
316 brackets
<=4
336 brackets
<=5
345 brackets
<=8
353 brackets
>8
0 brackets

Sessions

#12
5/14/2026, 1:19:32 PM4 trades$282 min
5/14/2026, 1:28:56 PM4 trades$470 min
5/14/2026, 3:28:24 PM2 trades$140 min
5/14/2026, 3:34:26 PM3 trades$51 min
5/14/2026, 3:45:43 PM4 trades$70 min
5/14/2026, 4:00:57 PM2 trades$30 min
5/14/2026, 4:06:38 PM1 trades$30 min
5/14/2026, 5:20:27 PM1 trades$10 min
5/14/2026, 5:32:02 PM2 trades$60 min
5/14/2026, 6:04:09 PM1 trades$30 min
5/14/2026, 6:11:16 PM1 trades$20 min
5/14/2026, 7:21:21 PM2 trades$642 min
5/14/2026, 7:33:15 PM5 trades$271 min
5/14/2026, 7:39:36 PM1 trades$20 min
5/14/2026, 7:56:44 PM2 trades$110 min
5/14/2026, 8:53:40 PM1 trades$00 min
5/14/2026, 9:18:06 PM4 trades$183 min
5/14/2026, 9:27:02 PM4 trades$424 min
5/14/2026, 9:55:14 PM1 trades$30 min
5/14/2026, 10:43:30 PM1 trades$60 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-12
04-22
04-30
05-13
05-23
05-31
06-08
06-10

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
HOLD
9% sell
DCA Style
HEAVY
avg 8.4/mkt
Hedging
SINGLE
avg 1.9 br/event