Polydata
Data is 23 days old — refreshing in background...
Careless-Wake

@Careless-Wake

#2,766,84526

0x7d725d21af52bb4492960aa62bc487d1ed9a8e62

230d· 3966 markets · 27011 tradesVol: $1,280,165 @FunnyFurClips2026-06-09T17:17
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.

26
Below Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 9%0/20
Profit Factor 1.07x3/15
Sharpe 0.1142/15
Sortino 0.1772/10
EV $+0.0714/10
HHI 1110/10
Profit Days 41%3/10
DD/Peak 60%2/10

Summary

Careless-Wake is a highly active trader on Polymarket, with over 27,000 trades across nearly 2,800 markets over 411 days. Despite this high volume, their net PnL stands at -$2,457.43, placing them at rank #2,766,845 globally. The trader’s portfolio value is low at $113.39, and their Smart Score of 26/100 indicates below-average performance compared to peers.

The trading style of Careless-Wake leans heavily towards weather markets, which make up 92% of their activity. They exhibit a contrarian and dollar-cost averaging (DCA) approach, holding positions for extended periods as suggested by the Diamond Hands badge. Their sell percentage is extremely low at 1%, reflecting a strong buy-and-hold bias. The high profit factor of 13.20 and a 70.7% win rate suggest many small wins, but the overall equity trend is downward, indicating losses over time. The Bot Score of 70/100 implies some level of automation in their strategy.

Careless-Wake’s key strengths include consistency in volume and a disciplined, automated approach focused on niche weather markets. However, their declining equity, low Sharpe ratio of 0.11, and negative net PnL highlight significant risk and inefficiency. The minimal selling and extended holding periods could expose them to prolonged drawdowns, posing challenges for long-term profitability on Polymarket.

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 9.6 entries/market
Weather Pro
92% weather
Bot
Score 70/100
Hedger
avg 3.6 brackets/event
Win Streak
64 wins in a row

Categories

8
🌤️ WEATHER#780$2,005Vol: $933,952
🎭 CULTURE#789,811$-1,327Vol: $137,498
CRYPTO#1,550,555$-2,641Vol: $94,004
SPORTS#1,472,654$-56Vol: $69,191
💻 TECH#232,172$-154Vol: $15,251
💰 FINANCE#45,602$13Vol: $15,121
🏛️ POLITICS#1,529,023$-280Vol: $10,348
📈 ECONOMICS#596,645$-18Vol: $4,800

Overview

#1
Net PnL
$-2,457
Polymarket official
Total Volume
$1,280,165
Total Redeem
$6,992
Portfolio
$113
Predictions
3966
total markets
Trades
26797B / 214S
Daily Volume
$91
Account Age
230d
since Nov 14, 2025

Periods

#2
Today
$5
Vol: $0
Week
$5
Vol: $0
Month
$-6
Vol: $100
All Time
$-2,457
Vol: $1,280,165

PnL Analysis

#3
Win Rate (events)
32%
248W / 537L events
Realized PnL
$42,387
Win Rate
71%
65W / 27L
Profit Factor
13.2x
Avg Win
$61
Avg Loss
$-11

Outlier Sensitivity: Top-3 = $979 (26.6% 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
0.114
Sortino
0.177
HHI
11
Diversified
EV per $1
$0.071
Kelly %
47.2%
Half-Kelly
23.6%
Top-1 market
1.6%
Top-5 markets
4.5%

Behavior Analysis

#5
Trades / Day
182.7
Very active
Markets / Day
18.8
Active Hours
24/24
Around the clock
Peak Hour
17:00 UTC
Median Gap
58s
between trades
Avg Gap
4.6m
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 randomness183 trades/day — automation19 markets/day — mass coverage2971 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
9.6
Active DCA
<=1
514 entries
<=2
754 entries
<=5
1267 entries
<=10
1896 entries
<=20
2423 entries
<=50
2764 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%

Other$872
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$39
Paris$18
Singapore$2

Bracket Analysis

#11
Avg brackets/event
3.6
Events covered
767

Multi-bracket hedger

<=1
154 brackets
<=2
217 brackets
<=3
327 brackets
<=4
494 brackets
<=5
656 brackets
<=8
767 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
01-30
02-18
03-09
04-01
04-26
01-01

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 9.6/mkt
Hedging
MULTI
avg 3.6 br/event