Polydata

@buracosolar

#11,81892

0x5bcd90dc168e93b7f6a7ac21c6bd46a6c338cf4b

154d· 1737 markets · 2810 tradesVol: $457,0282026-06-25T20:01
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.

92
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 74%20/20
Profit Factor 10.70x15/15
Sharpe 0.3607/15
Sortino 4.99210/10
EV $+3.87210/10
HHI 9710/10
Profit Days 93%10/10
DD/Peak 1%10/10

Summary

Buracosolar is an experienced trader on Polymarket, ranked #11818 globally by net profit and boasting a net PnL of $11,619.42. With 2,810 trades across 320 markets and a total volume exceeding $457,000, buracosolar demonstrates consistent activity over 246 days. Their portfolio value stands at $4,136.61, and they have earned an elite Smart Score of 92/100, reflecting strong overall performance and trading skill.

Buracosolar primarily focuses on weather-related markets, which account for 96% of their trades. Their trading style includes a moderate risk profile, evidenced by a 63% win rate and a profit factor of 1.74. The trader favors buying over selling, with a sell percentage of only 16%, and often employs dollar-cost averaging strategies, as highlighted by the DCA Master badge. The Sharpe ratio of 0.36 suggests moderate risk-adjusted returns, and their quick decision-making indicates a fast interface likely operated by a human rather than a bot.

The strengths of buracosolar include their specialization in weather markets and consistent profitability, supported by stable equity trends and zero max drawdown duration. However, the relatively low Sharpe ratio and flat equity trend suggest limited growth potential or cautious capital deployment. Additionally, their predominance in a niche market may expose them to sector-specific risks, which traders monitoring Polymarket should consider.

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

Badges

9
Sniper
Win Rate 74%
Profitable
PnL $+11,619
DCA Master
avg 7.4 entries/market
Weather Pro
96% weather
Hedger
avg 2.7 brackets/event
Win Streak
10 wins in a row
Whale
$82,785
Consistent
106/114 days
Cool Head
DD 1%

Categories

7
🌤️ WEATHER#143$11,456Vol: $418,216
🏛️ POLITICS#41,766$221Vol: $35,174
🎭 CULTURE#714,989$-21Vol: $1,902
CRYPTO#363,748$2Vol: $1,162
📈 ECONOMICS#604,673$-17Vol: $343
SPORTS#1,301,577$-11Vol: $160
📢 MENTIONS#124,765$-11Vol: $70

Overview

#1
Net PnL
$11,619
Polymarket official
Total Volume
$457,028
Total Redeem
$39,149
Portfolio
$4,137
Predictions
1737
total markets
Trades
2360B / 450S
Daily Volume
$337
Account Age
154d
since Jan 22, 2026

Periods

#2
Today
$-13
Vol: $4,308
Week
$5,698
Vol: $25,458
Month
$7,416
Vol: $125,859
All Time
$11,619
Vol: $457,028

PnL Analysis

#3
Win Rate (events)
78%
158W / 45L events
Realized PnL
$23,125
Win Rate
63%
145W / 85L
Profit Factor
1.74x
Avg Win
$84
Avg Loss
$-82

Outlier Sensitivity: Top-3 = $5,983 (115.7% of PnL)

Top Winners

Will the highest temperature in Mexico City be 21°C on June 24?$5,294
Will the highest temperature in Sao Paulo be 20°C on June 11?$357
Will the highest temperature in Sao Paulo be 26°C on May 16?$332
Will the highest temperature in Sao Paulo be 19°C or below on Jun$247
Will the highest temperature in Seoul be 24°C on June 7?$218
Will the highest temperature in Sao Paulo be 22°C on May 17?$207
Will the highest temperature in Sao Paulo be 17°C on May 11?$206
Will the highest temperature in Sao Paulo be 19°C or below on May$176
Will the highest temperature in Sao Paulo be 25°C on June 19?$168
Will the highest temperature in Sao Paulo be 20°C on June 2?$158

Top Losers

Will the highest temperature in Sao Paulo be 29°C on May 7?$-975
Will the highest temperature in Sao Paulo be 28°C on May 6?$-839
Will the highest temperature in Sao Paulo be 30°C on May 9?$-806
Will the highest temperature in Sao Paulo be 30°C on May 8?$-667
Will the highest temperature in Sao Paulo be 27°C on May 5?$-575
Will the highest temperature in Sao Paulo be 21°C on June 11?$-393
Will the highest temperature in Sao Paulo be 20°C on May 12?$-302
Will the highest temperature in Seoul be 24°C on June 9?$-287
Will the highest temperature in Sao Paulo be 30°C on May 7?$-247
Will the highest temperature in Sao Paulo be 28°C on May 9?$-211

Risk Metrics

#4
Sharpe
0.360
Sortino
4.992
HHI
97
Diversified
EV per $1
$3.872
Kelly %
30.3%
Half-Kelly
15.1%
Top-1 market
3.6%
Top-5 markets
11.5%

Behavior Analysis

#5
Trades / Day
18.3
Active
Markets / Day
2.1
Active Hours
24/24
Around the clock
Peak Hour
17:00 UTC
Median Gap
1.3m
between trades
Avg Gap
26.2m
between trades
Night Trading
15%
22:00–06:00 UTC
Size Variance
2.81
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.6

Bot Detection

#6
35
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 75s — typical for humanSize CV 2.81 — diverse, typical for human15% at night — different timezone?24/24 hours — around the clockSession CV 0.99 — human randomness18 trades/day — very active384 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.4
Active DCA
<=1
68 entries
<=2
104 entries
<=5
180 entries
<=10
252 entries
<=20
289 entries
<=50
320 entries
>50
0 entries

Price Levels

#9
Low (<20c)27%
Mid (20-55c)16.6%
High (>55c)56.4%

City Stats

#10

YES bias: 44.1%

Mexico City$5,476
Busan$671
Buenos Aires$53
Tokyo$1
Seattle$1
Other$0
São Paulo$0
Manila$0
Madrid$0
Denver$0
Tel Aviv$-55
Panama City$-68
Munich$-124
Seoul$-253
Sao Paulo$-530

Bracket Analysis

#11
Avg brackets/event
2.7
Events covered
120

Moderate coverage

<=1
50 brackets
<=2
68 brackets
<=3
86 brackets
<=4
98 brackets
<=5
108 brackets
<=8
119 brackets
>8
1 brackets

Sessions

#12
1/23/2026, 1:42:54 AM1 trades$300 min
1/23/2026, 10:38:22 AM2 trades$151 min
1/25/2026, 9:32:54 PM1 trades$300 min
3/5/2026, 1:42:39 AM23 trades$717 min
4/16/2026, 7:35:36 PM1 trades$100 min
4/17/2026, 4:39:02 PM1 trades$100 min
4/23/2026, 9:43:32 PM1 trades$290 min
4/23/2026, 10:04:42 PM1 trades$210 min
4/25/2026, 4:30:50 PM1 trades$160 min
4/29/2026, 10:39:48 PM1 trades$310 min
5/5/2026, 12:20:56 AM3 trades$622 min
5/5/2026, 12:34:22 AM6 trades$173 min
5/5/2026, 12:54:32 AM1 trades$2120 min
5/5/2026, 1:14:52 AM4 trades$114 min
5/5/2026, 1:59:02 AM1 trades$290 min
5/5/2026, 3:52:32 AM1 trades$290 min
5/5/2026, 4:37:52 AM1 trades$490 min
5/5/2026, 4:45:32 AM1 trades$270 min
5/5/2026, 6:28:44 AM1 trades$30 min
5/5/2026, 3:10:18 PM4 trades$2533 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-31
03-03
03-30
04-28
05-20
06-10
06-25

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

Profile

#14
Specialization
WEATHER
95.6% weather
Holding Style
ACTIVE SELLER
16% sell
DCA Style
HEAVY
avg 7.4/mkt
Hedging
SINGLE
avg 2.7 br/event