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wegotit2green

@wegotit2green

#7,07775

0xb1f8aa72eeee3316b39716d2d0ae3fdc13aa2734

141d· 563 markets · 5287 tradesVol: $454,3782026-06-27T04:35
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.

75
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 99%20/20
Profit Factor 0.22x0/15
Sharpe 0.93015/15
Sortino 954344.89510/10
HHI 7610/10
Profit Days 98%10/10
DD/Peak 0%10/10

Summary

Wegotit2green is a moderately active trader on Polymarket, ranking #7077 on the global PnL leaderboard with a net profit of $20,328.50. Over 109 days, they executed 5,287 trades across 416 markets, generating a total volume of $454,378. Their Smart Score of 75/100 indicates strong trading aptitude, though their portfolio value currently stands at zero, suggesting realized profits rather than open positions.

This trader exclusively focuses on weather markets, showing a highly specialized trading style. Their strategy appears low-risk, evidenced by a Sharpe ratio of 0.93 and a minimal sell percentage of 1%, highlighting a preference for holding positions rather than frequent exits. With a near 50% win rate and a profit factor of 0.22, wegotit2green seems to adopt a contrarian and patient approach, supported by badges like “Diamond Hands” and “Contrarian.” The flat equity trend suggests consistent but non-volatile performance over time.

Wegotit2green’s key strength lies in their niche expertise in weather-related markets and disciplined, steady trading style. However, the relatively low profit factor and break-even win rate indicate limited upside per trade, which could constrain growth. Additionally, the absence of open positions and a max drawdown duration of zero may reflect cautious risk management but also limited exposure to potential market rallies. Overall, their Polymarket activity reflects a balanced but conservative trader profile.

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

Badges

13
Sniper
Win Rate 99%
Profitable
PnL $+20,328
Lottery Player
45% entries <$0.20
Contrarian
66% entries <$0.50
Diamond Hands
1% sell
DCA Master
avg 12.6 entries/market
Weather Pro
100% weather
Hedger
avg 2.6 brackets/event
Win Streak
16 wins in a row
Whale
$133,644
Consistent
53/54 days
High Roller
$1,223/day
Cool Head
DD 0%

Categories

2
🌤️ WEATHER#66$20,327Vol: $452,878
📈 ECONOMICS#90,592$2Vol: $1,500

Overview

#1
Net PnL
$20,329
Polymarket official
Total Volume
$454,378
Total Redeem
$69,605
Portfolio
$0
Predictions
563
total markets
Trades
5252B / 35S
Daily Volume
$1,223
Account Age
141d
since Feb 17, 2026

Periods

#2
Month
$-71
Vol: $200
All Time
$20,329
Vol: $454,378

PnL Analysis

#3
Win Rate (events)
99%
115W / 1L events
Realized PnL
$51,605
Win Rate
49%
155W / 159L
Profit Factor
0.22x
Avg Win
$100
Avg Loss
$-447

Top Winners

Will the highest temperature in Dallas be between 56-57°F on Marc$2,601
Will the highest temperature in London be 18°C on April 7?$1,089
Will the highest temperature in London be 15°C on April 4?$635
Will the highest temperature in New York City be 48°F or higher o$598
Will the highest temperature in London be 19°C on April 7?$594
Will the highest temperature in London be 13°C on April 13?$580
Will the highest temperature in London be 20°C on April 7?$411
Will the highest temperature in London be 12°C on April 2?$407
Will the highest temperature in London be 15°C on April 21?$376
Will the highest temperature in Atlanta be between 82-83°F on Apr$352

Top Losers

Will the highest temperature in London be 15°C on March 23?$-2,618
Will the highest temperature in Seoul be 7°C on March 9?$-2,025
Will the highest temperature in New York City be between 30-31°F $-1,852
Will the highest temperature in London be 12°C on March 21?$-1,783
Will the highest temperature in London be 15°C on February 21?$-1,739
Will the highest temperature in Seoul be 9°C on March 3?$-1,643
Will the highest temperature in London be 16°C on March 19?$-1,570
Will the highest temperature in London be 13°C on March 24?$-1,531
Will the highest temperature in London be 15°C on March 24?$-1,461
Will the highest temperature in London be 14°C on March 4?$-1,414

Risk Metrics

#4
Sharpe
0.930
Sortino
inf
HHI
76
Diversified
EV per $1
$-0.429
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
3%
Top-5 markets
10.2%

Behavior Analysis

#5
Trades / Day
48.4
Active
Markets / Day
3.8
Active Hours
24/24
Around the clock
Peak Hour
13:00 UTC
Median Gap
1.1m
between trades
Avg Gap
15.0m
between trades
Night Trading
4%
22:00–06:00 UTC
Size Variance
3.51
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
3.8

Bot Detection

#6
30
LIKELY HUMAN (fast interface)LOW probability

6 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 64s — typical for humanSize CV 3.51 — diverse, typical for human4% at night — normal sleep pattern24/24 hours — around the clockSession CV 1.06 — human randomness48 trades/day — suspiciously high

Timing Patterns

#7

Peak hour: 13:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
12.6
Heavy DCA
<=1
97 entries
<=2
142 entries
<=5
215 entries
<=10
269 entries
<=20
330 entries
<=50
398 entries
>50
18 entries

Price Levels

#9
Low (<20c)45.1%
Mid (20-55c)23.8%
High (>55c)31.2%

City Stats

#10

YES bias: 55.4%

Dallas$3,065
Atlanta$484
Shenzhen$304
Madrid$285
Lagos$149
Helsinki$121
Amsterdam$68
Istanbul$65
Taipei$50
San Francisco$17
Munich$13
Shanghai$0
Milan$0
Paris$-9
Tokyo$-234
Ankara$-786
Toronto$-948
Chicago$-1,662

Bracket Analysis

#11
Avg brackets/event
2.6
Events covered
163

Moderate coverage

<=1
43 brackets
<=2
91 brackets
<=3
131 brackets
<=4
145 brackets
<=5
155 brackets
<=8
163 brackets
>8
0 brackets

Sessions

#12
2/20/2026, 7:21:28 AM1 trades$1990 min
2/20/2026, 7:34:04 AM5 trades$3538 min
2/20/2026, 8:25:58 AM1 trades$160 min
2/20/2026, 8:55:28 AM1 trades$470 min
2/20/2026, 9:02:34 AM2 trades$2303 min
2/20/2026, 10:08:12 AM3 trades$290 min
2/20/2026, 10:33:42 AM1 trades$480 min
2/20/2026, 10:42:04 AM1 trades$380 min
2/20/2026, 10:55:06 AM3 trades$1225 min
2/20/2026, 11:28:04 AM7 trades$1889 min
2/20/2026, 11:50:06 AM1 trades$10 min
2/20/2026, 12:16:36 PM1 trades$170 min
2/20/2026, 12:26:46 PM2 trades$4185 min
2/20/2026, 1:13:56 PM1 trades$930 min
2/20/2026, 1:26:10 PM16 trades$2078 min
2/20/2026, 1:46:40 PM1 trades$1150 min
2/20/2026, 1:54:34 PM2 trades$291 min
2/20/2026, 2:02:18 PM27 trades$27723 min
2/20/2026, 3:04:52 PM11 trades$16710 min
2/20/2026, 3:31:38 PM4 trades$893 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-20
03-05
03-18
03-27
04-06
04-15

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
HOLD
0.7% sell
DCA Style
HEAVY
avg 12.6/mkt
Hedging
SINGLE
avg 2.6 br/event