@weatherDoge

#2,943,91638

0xa8cd5becc42d67ebb1988207761a81b1379f0d51

~59d· 1107 markets · 8676 tradesVol: $130,5422026-08-05 17:30:11
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.

38
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

74% (814/1094)20/20
0.61x (win $2,314 / loss $3,779)0/15
Annualised Sharpe -6.1400/15
Sortino -5.9900/10
$-0.0205 per $1 invested0/10
HHI 44 (1094 markets)10/10
32/50 profitable days (64%)8.5/10
Max DD 2847% of peak ($1,578 / $55)0/10

Badges

7
Sniper
Win rate 74%
DCA Master
Avg 7.9 entries/market
Whale
$71,615 invested
Consistent
32/50 profitable days
Win Streak
24 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
79% maker orders

Categories

8
🌤️ WEATHER#298,191$-1,150Vol: $119,272
💰 FINANCE#553,975$-6Vol: $6,791
SPORTS#1,507,810$-27Vol: $1,695
🎭 CULTURE#730,489$-21Vol: $986
🏛️ POLITICS#67,623$90Vol: $744
📈 ECONOMICS#100,358$1Vol: $607
💻 TECH#57,341$0Vol: $125
CRYPTO#375,229$2Vol: $12

Overview

#1
Net PnL
$-1,138
Polymarket official
Total Volume
$130,542
Total Redeem
$0
Portfolio
$0
Predictions
1107
total markets
Trades
5774B / 2902S
Daily Volume
$0
Account Age
~59d

Periods

#2
Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$0
Vol: $0
All Time
$-1,138
Vol: $130,542

PnL Analysis

#3

Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology

Win Rate (events)
74%
814W / 280L events
Realized PnL
$-1,138
Win Rate
74%
814W / 280L
Profit Factor
0.61x
Avg Win
$3
Avg Loss
$-22

Outlier Sensitivity: Top-3 = $257 (0.22607602945570224% of PnL)

Top Winners

Will the highest temperature in Milan be 34°C on July 7?$136
Will the highest temperature in Taipei be 35°C on July 27?$66
Will the highest temperature in Shanghai be 25°C on May 13?$55
Will the highest temperature in Beijing be 32°C on May 12?$52
Will the highest temperature in Los Angeles be 70°F or higher on May 14?$49
Will the highest temperature in Toronto be 10°C on May 14?$49
Will the highest temperature in Hong Kong be 28°C on July 7?$45
Will George Russell win the 2026 F1 Canadian Grand Prix?$34
Will annual inflation be 4.4% or more in May?$28
Will the highest temperature in Jeddah be 36°C on May 13?$26

Top Losers

Will the highest temperature in London be 15°C on May 4?$-285
Will the highest temperature in Shanghai be 29°C on April 27?$-212
Will the highest temperature in Chongqing be 27°C on April 30?$-210
Will the highest temperature in Shanghai be 27°C on May 5?$-206
Will the highest temperature in Miami be between 86-87°F on June 10?$-198
Will the highest temperature in Madrid be 24°C on April 29?$-186
Will CXMT’s market cap be 400 billion yuan or greater at market close on IPO day by December 31, 2026?$-175
Will the highest temperature in Seattle be between 62-63°F on May 5?$-151
Will the highest temperature in Kuala Lumpur be 36°C on April 26?$-142
Will the highest temperature in Lucknow be 39°C or below on April 28?$-139

Risk Metrics

#4
Sharpe
-0.318
Sortino
-0.263
HHI
27
Diversified
EV per $1
$-0.021
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
1.1%
Top-5 markets
4.4%

Behavior Analysis

#5
Trades / Day
89.4
Very active
Markets / Day
11.4
Active Hours
24/24
Around the clock
Peak Hour
7:00 UTC
Median Gap
1.8m
between trades
Avg Gap
11.8m
between trades
Night Trading
28%
22:00–06:00 UTC
Size Variance
1.66
Variable
Session Statistics
Sessions
50
Avg Duration
15 min
Avg Trades / Session
24.3

Bot Detection

#6
70
BOT (automated trading)HIGH probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
MEDIUM
Median gap 110s — normal for humanCV 1.66 — diverse sizes (human-like)28% night trades — never sleeps24/24 hours — around the clock89 trades/day — mass trading11 markets/day — mass coverage79% maker — frequent liquidity provider

Timing Patterns

#7

Peak hour: 7:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
7.9
Active DCA

Price Levels

#9
Low (<20c)2%
Mid (20-55c)4.6%
High (>55c)93.4%

Sessions

#12
6/11/2026, 1:25:49 AM36 trades$3,8810 min
7/15/2026, 10:11:32 AM4 trades$2,2280 min
4/27/2026, 2:04:36 PM42 trades$81436 min
6/24/2026, 1:44:41 AM4 trades$7992 min
6/16/2026, 3:11:31 PM9 trades$6597 min
4/26/2026, 7:37:14 AM59 trades$63246 min
6/24/2026, 3:16:08 PM3 trades$5993 min
6/18/2026, 7:12:59 AM15 trades$56713 min
4/25/2026, 7:43:24 AM54 trades$55543 min
7/7/2026, 2:34:22 PM13 trades$5320 min
4/26/2026, 2:33:44 PM48 trades$52446 min
7/2/2026, 9:28:41 AM2 trades$5210 min
4/30/2026, 6:43:30 AM87 trades$50237 min
5/5/2026, 7:04:26 AM41 trades$49924 min
6/15/2026, 5:40:04 AM9 trades$47510 min
4/30/2026, 6:23:22 PM24 trades$46738 min
6/20/2026, 4:09:08 AM5 trades$4601 min
6/19/2026, 3:37:02 PM17 trades$44010 min
4/28/2026, 1:03:46 PM11 trades$42513 min
4/27/2026, 7:20:30 PM48 trades$41935 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-23
05-01
05-12
05-23
06-15
07-02
07-27

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

Max drawdown: 92 days (not recovered)

Profile

#14
Specialization
WEATHER
82% weather
Holding Style
ACTIVE SELLER
33.4% sell
DCA Style
HEAVY
avg 7.9/mkt
Entry Bias
HIGH $
L2 / M4.6 / H93.4