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@0x1fC46eb3939bB1f77698D326609586E4DAA17AE7-1771437801102

#2,929,12589

0x1fc46eb3939bb1f77698d326609586e4daa17ae7

138d· 1050 markets · 2026 tradesVol: $402,5642026-07-01T00:37
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.

89
Elite
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 68%19/20
Profit Factor 3.55x15/15
Sharpe 0.4488/15
Sortino 0.6016/10
EV $+2.33310/10
HHI 15710/10
Profit Days 73%10/10
DD/Peak 10%10/10

Summary

0x1fC46eb3939bB1f77698D326609586E4DAA17AE7-1771437801102 is an active Polymarket trader with 2,026 trades across 492 markets in 107 days. Despite a high trading volume of over $400,000, the trader currently holds a net loss of $7,255.74 and ranks #2,929,125 globally by profit and loss. Their Smart Score is an impressive 89/100, placing them among the elite traders, while their portfolio value remains stable at around $520.

This trader focuses heavily on weather markets, which comprise 43% of their activity, indicating a preference for niche prediction categories. They exhibit a high win rate of 90.2% and a profit factor of 2.15, suggesting effective risk management and consistent gains on winning trades. A sell percentage of 21% and a Sharpe ratio of 0.45 reflect a moderate risk profile with a balanced approach between holding and exiting positions. The relatively flat equity trend and zero-day max drawdown duration imply disciplined timing and limited exposure to prolonged losses.

Key strengths for 0x1fC46eb3939bB1f77698D326609586E4DAA17AE7-1771437801102 include their consistent performance, elite Smart Score, and ability to maintain stability in portfolio value despite the negative net PnL. However, the significant cumulative loss and semi-bot trading style may pose risks if market conditions shift. Their reliance on weather markets could also limit diversification, potentially increasing vulnerability to sector-specific volatility on Polymarket.

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

Badges

5
Sniper
Win Rate 68%
Win Streak
70 wins in a row
Whale
$52,731
Consistent
70/96 days
Cool Head
DD 10%

Categories

7
🌤️ WEATHER#286,902$-5,128Vol: $223,460
SPORTS#1,713,069$-664Vol: $85,048
📢 MENTIONS#167,537$-696Vol: $35,677
🏛️ POLITICS#1,548,388$-265Vol: $20,075
🎭 CULTURE#750,674$-52Vol: $13,053
CRYPTO#1,410,708$-96Vol: $4,202
💰 FINANCE#57,377$9Vol: $3,609

Overview

#1
Net PnL
$-7,256
Polymarket official
Total Volume
$402,564
Total Redeem
$26,765
Portfolio
$520
Predictions
1050
total markets
Trades
1601B / 425S
Daily Volume
$493
Account Age
138d
since Feb 18, 2026

Periods

#2
Week
$66
Vol: $1,731
All Time
$-7,256
Vol: $402,564

PnL Analysis

#3
Win Rate (events)
74%
225W / 81L events
Realized PnL
$10,797
Win Rate
90%
221W / 24L
Profit Factor
2.15x
Avg Win
$26
Avg Loss
$-113

Outlier Sensitivity: Top-3 = $760 (24.5% of PnL)

Top Winners

Will the highest temperature in Toronto be 17°C on April 28?$456
Will the highest temperature in Seoul be 18°C on May 2?$158
Will the highest temperature in Hong Kong be 31°C on June 19?$146
Will the highest temperature in Hong Kong be 31°C on June 25?$143
Will the highest temperature in Seoul be 19°C on May 1?$130
Will the highest temperature in Hong Kong be 31°C on June 20?$129
Will the highest temperature in Hong Kong be 28°C on June 17?$123
Norwich City FC vs. Swansea City AFC: O/U 2.5$121
Dota 2: LGD Gaming vs Team Yandex (BO3) - BLAST Slam Playoffs$114
Will the highest temperature in Seoul be 18°C on May 4?$86

Top Losers

Will the highest temperature in Shanghai be 19°C on May 8?$-1,846
Will the highest temperature in Seoul be 20°C or higher on May 5?$-142
Will the highest temperature in Wellington be 16°C on May 6?$-85
Will the highest temperature in Guangzhou be 25°C or higher on Ma$-65
Will the highest temperature in Seoul be 15°C on April 28?$-64
Oeiras 3: Petra Marcinko vs Sinja Kraus$-61
Will the highest temperature in Hong Kong be 29°C on June 14?$-57
Valorant: Nightblood Gaming vs QoR - Map 1 Winner$-51
Will the highest temperature in Toronto be 17°C or higher on May $-40
Madrid Open, Qualification: Marco Trungelliti vs Daniel Merida Ag$-38

Risk Metrics

#4
Sharpe
0.448
Sortino
0.601
HHI
157
Diversified
EV per $1
$2.333
Kelly %
77.6%
Half-Kelly
38.8%
Top-1 market
7.4%
Top-5 markets
19.2%

Behavior Analysis

#5
Trades / Day
26.8
Active
Markets / Day
6.5
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
2.2m
between trades
Avg Gap
52.0m
between trades
Night Trading
40%
22:00–06:00 UTC
Size Variance
2.07
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
1.9

Bot Detection

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

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 133s — typical for humanSize CV 2.07 — diverse, typical for human40% at night — bot never sleeps24/24 hours — around the clockSession CV 1.00 — human randomness27 trades/day — suspiciously high370 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.3
Moderate DCA
<=1
269 entries
<=2
352 entries
<=5
423 entries
<=10
455 entries
<=20
477 entries
<=50
486 entries
>50
1 entries

Price Levels

#9
Low (<20c)15.5%
Mid (20-55c)34.3%
High (>55c)50.2%

City Stats

#10

YES bias: 31.3%

Other$2,111
Hong Kong$1,235
Toronto$569
Seoul$491
Madrid$148
Chengdu$111
Milan$68
Singapore$60
Jakarta$31
Munich$26
Tel Aviv$22
Atlanta$20
Los Angeles$19
Panama City$14
Dallas$14
Qingdao$10
Tokyo$10
Chongqing$10

Bracket Analysis

#11
Avg brackets/event
1.4
Events covered
338

Single bracket

<=1
243 brackets
<=2
304 brackets
<=3
326 brackets
<=4
333 brackets
<=5
337 brackets
<=8
337 brackets
>8
1 brackets

Sessions

#12
4/16/2026, 5:20:48 AM1 trades$980 min
4/16/2026, 5:27:58 AM7 trades$2428 min
4/18/2026, 6:02:18 AM1 trades$340 min
4/18/2026, 10:14:02 AM3 trades$290 min
4/18/2026, 10:21:04 AM3 trades$322 min
4/20/2026, 12:07:30 AM1 trades$290 min
4/20/2026, 4:32:08 PM1 trades$270 min
4/20/2026, 4:38:02 PM1 trades$310 min
4/21/2026, 12:48:56 PM1 trades$380 min
4/21/2026, 2:10:28 PM1 trades$410 min
4/21/2026, 3:00:32 PM1 trades$960 min
4/21/2026, 3:28:22 PM1 trades$250 min
4/21/2026, 10:57:52 PM2 trades$1483 min
4/22/2026, 2:34:12 AM3 trades$1,6907 min
4/22/2026, 3:06:20 AM7 trades$937 min
4/22/2026, 3:21:42 AM7 trades$1223 min
4/22/2026, 3:45:58 AM1 trades$210 min
4/22/2026, 3:57:44 AM1 trades$10 min
4/22/2026, 6:58:36 AM1 trades$260 min
4/22/2026, 7:11:06 AM1 trades$250 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
03-19
04-07
04-26
05-13
05-30
06-15

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

Profile

#14
Specialization
MIXED
43.1% weather
Holding Style
ACTIVE SELLER
21% sell
DCA Style
MODERATE
avg 3.3/mkt
Hedging
SINGLE
avg 1.4 br/event