@virsssyyi

#13,40885

0xbc8405b2c4149332c835ebb7e29e68e53eaba0d2

~148d· 3607 markets · 13933 tradesVol: $1,328,3142026-08-04 23:01:32
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.

85
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

94% (3407/3607)20/20
1.71x (win $15,595 / loss $9,136)11.3/15
Annualised Sharpe 1.65015/15
Sortino 4.51610/10
$+0.0173 per $1 invested0.9/10
HHI 81 (3607 markets)10/10
115/146 profitable days (79%)10/10
Max DD 33% of peak ($2,112 / $6,459)7.5/10

Badges

7
Sniper
Win rate 94%
Profitable
PnL $+11,055
Whale
$372,814 invested
Consistent
115/146 profitable days
High Roller
$1,962/day
Win Streak
91 wins in a row
🦉Night Owl
24/24 hours active

Categories

3
🌤️ WEATHER#177$11,045Vol: $1,317,846
🏛️ POLITICS#168,709$10Vol: $10,428
🎭 CULTURE#380,112$-0Vol: $40

Overview

#1
Net PnL
$11,055
Polymarket official
Total Volume
$1,328,314
Total Redeem
$0
Portfolio
$0
Predictions
3607
total markets
Trades
7488B / 6445S
Daily Volume
$0
Account Age
~148d

Periods

#2
Today
$97
Vol: $184
Week
$175
Vol: $3,099
Month
$135
Vol: $4,932
All Time
$11,055
Vol: $1,328,314

PnL Analysis

#3

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

Win Rate (events)
94%
3407W / 200L events
Realized PnL
$11,055
Win Rate
94%
3407W / 200L
Profit Factor
1.71x
Avg Win
$5
Avg Loss
$-59

Outlier Sensitivity: Top-3 = $6,891 (0.6233171931011589% of PnL)

Top Winners

Will the highest temperature in Atlanta be between 90-91°F on June 14?$6,213
Will the highest temperature in Qingdao be 22°C or below on June 26?$467
Will the highest temperature in Singapore be 31°C on April 27?$212
Will the highest temperature in Dallas be between 72-73°F on February 12?$141
Will the highest temperature in Qingdao be 23°C on June 26?$124
Will the highest temperature in Shenzhen be 35°C on June 4?$116
Will the highest temperature in Paris be 19°C on June 9?$94
Will the highest temperature in Chengdu be 23°C on April 27?$93
Will the highest temperature in Shenzhen be 36°C or higher on June 4?$91
Will the highest temperature in Singapore be 32°C on May 5?$90

Top Losers

Will the highest temperature in Ankara be 6°C or below on January 29?$-1,772
Will the highest temperature in Seoul be 11°C or higher on February 14?$-919
Will the highest temperature in Qingdao be 21°C on May 5?$-871
Will the highest temperature in Buenos Aires be 30°C on February 15?$-605
Will the highest temperature in Miami be between 62-63°F on January 28?$-499
Will the highest temperature in London be 12°C or below on March 4?$-378
Will the highest temperature in Wellington be 17°C on June 4?$-300
Will the highest temperature in Beijing be 22°C or below on May 9?$-239
Will the highest temperature in Chicago be 29°F or below on February 21?$-231
Will the highest temperature in Chicago be between 72-73°F on June 14?$-190

Risk Metrics

#4
Sharpe
0.086
Sortino
0.123
HHI
61
Diversified
EV per $1
$0.017
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
5.3%
Top-5 markets
14.3%

Behavior Analysis

#5
Trades / Day
73.3
Very active
Markets / Day
19.0
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
58s
between trades
Avg Gap
19.3m
between trades
Night Trading
36%
22:00–06:00 UTC
Size Variance
4.97
Variable
Session Statistics
Sessions
50
Avg Duration
24 min
Avg Trades / Session
56.0

Bot Detection

#6
65
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 58s — normal for humanCV 4.97 — diverse sizes (human-like)36% night trades — never sleeps24/24 hours — around the clock73 trades/day — mass trading19 markets/day — mass coverage47% maker — normal mix

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.86
Moderate DCA

Price Levels

#9
Low (<20c)12.5%
Mid (20-55c)3.4%
High (>55c)84%

Sessions

#12
5/17/2026, 5:36:08 AM22 trades$26,3723 min
6/25/2026, 3:47:07 AM15 trades$16,2017 min
5/13/2026, 11:52:20 AM19 trades$11,7530 min
6/4/2026, 7:21:15 AM51 trades$7,58013 min
6/15/2026, 4:11:43 AM18 trades$5,7391 min
4/30/2026, 4:10:12 AM254 trades$5,70554 min
6/25/2026, 3:13:13 AM2 trades$4,8550 min
6/25/2026, 4:06:32 AM4 trades$4,6940 min
4/23/2026, 4:29:04 AM425 trades$4,24368 min
5/1/2026, 4:10:12 AM213 trades$3,89651 min
4/24/2026, 4:08:50 AM413 trades$3,56190 min
1/26/2026, 1:17:11 PM25 trades$3,35436 min
6/28/2026, 5:09:16 AM13 trades$2,9682 min
4/29/2026, 4:07:14 AM130 trades$2,76223 min
2/28/2026, 12:07:49 PM32 trades$2,67432 min
1/31/2026, 12:38:56 PM6 trades$2,6086 min
2/19/2026, 12:00:08 PM19 trades$2,46122 min
2/11/2026, 2:58:33 AM56 trades$2,43053 min
2/25/2026, 5:09:54 PM23 trades$2,42321 min
4/29/2026, 4:35:22 AM102 trades$2,42242 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-26
02-19
03-15
04-25
05-21
06-25
08-01

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

Max drawdown: 2 days (recovered)

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
46.3% sell
DCA Style
MODERATE
avg 3.86/mkt
Entry Bias
HIGH $
L12.5 / M3.4 / H84