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Careless-Wake

@Careless-Wake

#2,677,37827

0x7d725d21af52bb4492960aa62bc487d1ed9a8e62

188d· 3949 markets · 26959 tradesVol: $1,277,100 @FunnyFurClips2026-05-18T09:52
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.

27
Below Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 9%0/20
Profit Factor 1.08x3/15
Sharpe 0.1212/15
Sortino 0.1862/10
EV $+0.0754/10
HHI 1110/10
Profit Days 43%3/10
DD/Peak 58%2/10

Summary

Careless-Wake is a highly active trader on Polymarket, with nearly 27,000 trades executed across 2,770 markets over 411 days. Despite this volume, they currently hold a negative net PnL of approximately $-2,388 and rank #2,677,378 globally. Their portfolio value has declined to $247.64, reflecting an overall downward equity trend and a relatively low Smart Score of 27 out of 100.

This trader primarily focuses on weather-related markets, which make up 92% of their activity. Careless-Wake employs an automated trading approach, as indicated by a strong bot score of 70/100, and demonstrates a contrarian style with a low sell percentage of 1%. Their risk profile appears moderate to high given the sizable total volume of $1.28 million but a Sharpe ratio of only 0.12, signaling limited risk-adjusted returns. The trader maintains discipline with a 70% win rate and strong profit factor of 13.01, suggesting frequent small gains but occasional large losses.

Careless-Wake’s strengths include high engagement and specialized weather market expertise, combined with automated strategies that support consistent trading frequency. However, the persistent negative PnL, declining equity, and low portfolio value raise concerns about sustainability and risk management effectiveness. Their contrarian and diamond hands badges imply a willingness to hold losing positions, which might contribute to prolonged drawdowns despite a zero-day max drawdown duration.

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

Badges

8
Lottery Player
99% entries <$0.20
Contrarian
100% entries <$0.50
Diamond Hands
1% sell
DCA Master
avg 9.7 entries/market
Weather Pro
92% weather
Bot
Score 70/100
Hedger
avg 3.7 brackets/event
Win Streak
62 wins in a row

Categories

8
🌤️ WEATHER#687$2,059Vol: $932,287
🎭 CULTURE#774,668$-1,330Vol: $136,398
CRYPTO#1,498,731$-2,612Vol: $93,904
SPORTS#1,426,166$-54Vol: $69,191
💻 TECH#225,863$-154Vol: $15,251
💰 FINANCE#66,091$5Vol: $15,121
🏛️ POLITICS#1,487,192$-280Vol: $10,348
📈 ECONOMICS#591,364$-21Vol: $4,600

Overview

#1
Net PnL
$-2,388
Polymarket official
Total Volume
$1,277,100
Total Redeem
$6,877
Portfolio
$248
Predictions
3949
total markets
Trades
26745B / 214S
Daily Volume
$91
Account Age
188d
since Nov 14, 2025

Periods

#2
Today
$-3
Vol: $0
Week
$-3
Vol: $546
Month
$-108
Vol: $2,569
All Time
$-2,388
Vol: $1,277,100

PnL Analysis

#3
Win Rate (events)
32%
248W / 523L events
Realized PnL
$42,387
Win Rate
70%
63W / 27L
Profit Factor
13.01x
Avg Win
$62
Avg Loss
$-11

Outlier Sensitivity: Top-3 = $979 (27% of PnL)

Top Winners

Will Bitcoin dip to $66,000 on March 31?$390
Will the highest temperature in Chicago be 56°F or higher on Marc$295
Will the highest temperature in Chicago be between 46-47°F on Mar$294
Will the highest temperature in Tel Aviv be 30°C on March 18?$190
Will the highest temperature in Toronto be -14°C on February 7?$111
Will the highest temperature in New York City be between 40-41°F $97
Will the highest temperature in Tokyo be 13°C on March 17?$92
Will the highest temperature in Lucknow be 35°C on March 17?$91
Will the highest temperature in Toronto be 8°C or higher on March$91
Will the highest temperature in Atlanta be between 56-57°F on Mar$91

Top Losers

Will the highest temperature in Wellington be 19°C on February 9?$-18
Will the highest temperature in Paris be 16°C on February 21?$-18
Will the highest temperature in Ankara be 8°C on February 6?$-17
Will the highest temperature in Paris be 11°C on February 16?$-17
Will the highest temperature in London be 8°C on February 5?$-17
Will the highest temperature in London be 12°C on February 6?$-13
Will the highest temperature in Ankara be 15°C on February 16?$-13
Will the highest temperature in Buenos Aires be 30°C on February $-13
Will the highest temperature in Seoul be 11°C or higher on Februa$-13
Will the highest temperature in London be 11°C on February 12?$-12

Risk Metrics

#4
Sharpe
0.121
Sortino
0.186
HHI
11
Diversified
EV per $1
$0.075
Kelly %
46.1%
Half-Kelly
23.1%
Top-1 market
1.6%
Top-5 markets
4.5%

Behavior Analysis

#5
Trades / Day
203.1
Very active
Markets / Day
20.9
Active Hours
24/24
Around the clock
Peak Hour
17:00 UTC
Median Gap
58s
between trades
Avg Gap
4.5m
between trades
Night Trading
19%
22:00–06:00 UTC
Size Variance
4.52
Variable
Session Statistics
Sessions
50
Avg Duration
1 min
Avg Trades / Session
2.9

Bot Detection

#6
70
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 58s — typical for humanSize CV 4.52 — diverse, typical for human19% at night — different timezone?24/24 hours — around the clockSession CV 1.03 — human randomness203 trades/day — automation21 markets/day — mass coverage2958 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
9.7
Active DCA
<=1
509 entries
<=2
748 entries
<=5
1255 entries
<=10
1881 entries
<=20
2408 entries
<=50
2749 entries
>50
21 entries

Price Levels

#9
Low (<20c)99.4%
Mid (20-55c)0.4%
High (>55c)0.2%

City Stats

#10

YES bias: 93.1%

Other$826
Chicago$679
Tel Aviv$279
Seoul$226
New York City$189
Tokyo$183
Miami$181
Shanghai$180
Lucknow$180
Toronto$175
Atlanta$141
Ankara$126
Seattle$101
Sao Paulo$98
Dallas$91
London$28
Paris$18
Singapore$2

Bracket Analysis

#11
Avg brackets/event
3.7
Events covered
752

Multi-bracket hedger

<=1
139 brackets
<=2
202 brackets
<=3
312 brackets
<=4
479 brackets
<=5
641 brackets
<=8
752 brackets
>8
0 brackets

Sessions

#12
1/5/2026, 2:37:43 AM1 trades$00 min
1/5/2026, 2:44:19 AM1 trades$00 min
1/5/2026, 6:26:37 AM4 trades$00 min
1/5/2026, 6:57:35 AM4 trades$00 min
1/5/2026, 8:29:09 AM4 trades$00 min
1/5/2026, 3:04:59 PM8 trades$03 min
1/5/2026, 6:47:39 PM20 trades$41 min
1/5/2026, 7:30:07 PM16 trades$42 min
1/5/2026, 8:02:27 PM4 trades$20 min
1/10/2026, 10:37:22 PM1 trades$00 min
1/27/2026, 10:15:07 PM1 trades$200 min
1/28/2026, 3:52:16 PM2 trades$54 min
1/28/2026, 6:07:22 PM2 trades$33 min
1/28/2026, 7:14:30 PM1 trades$60 min
1/29/2026, 12:01:04 PM2 trades$10 min
1/29/2026, 12:25:16 PM4 trades$42 min
1/29/2026, 12:50:46 PM1 trades$10 min
1/29/2026, 1:01:28 PM1 trades$10 min
1/29/2026, 1:07:50 PM3 trades$12 min
1/29/2026, 2:26:52 PM1 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-01
01-29
02-16
03-06
03-28
04-19
07-31

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

Profile

#14
Specialization
WEATHER
91.8% weather
Holding Style
HOLD
0.8% sell
DCA Style
HEAVY
avg 9.7/mkt
Hedging
MULTI
avg 3.7 br/event