@0x9c19…9be5

#2,664,7540

0x9c19e7c9cc2d2eb667086a2dada8f8228c4f9be5

~5d· 9 markets · 145 tradesVol: $37,4562026-08-26 09:12:14
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.

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

Score Components

25% (2/8)0/20
0.04x (win $9 / loss $253)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.4818 per $1 invested0/10
HHI 8313 (8 markets)0/10
1/5 profitable days (20%)0/10
Max DD 0% of peak ($243 / $0)0/10

Badges

1
Lottery Player
93% entries < $0.20

Categories

2
🌤️ WEATHER#292,399$-136Vol: $36,446
🏛️ POLITICS#905,254$-1Vol: $1,010

Overview

#1
Net PnL
$-137
Polymarket official
Total Volume
$37,456
Total Redeem
$0
Portfolio
$0
Predictions
9
total markets
Trades
14B / 131S
Daily Volume
$0
Account Age
~5d

Periods

#2
Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$0
Vol: $0
All Time
$-137
Vol: $37,456

PnL Analysis

#3

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

Win Rate (events)
25%
2W / 6L events
Realized PnL
$-137
Win Rate
25%
2W / 6L
Profit Factor
0.04x
Avg Win
$5
Avg Loss
$-42

Outlier Sensitivity: Top-3 = $9 (0.06930042354315759% of PnL)

Top Winners

Will the highest temperature in Paris be 24°C on April 29?$9

Top Losers

Will the highest temperature in Seattle be between 60-61°F on April 25?$-213
Will the highest temperature in Madrid be 19°C or below on May 1?$-13
Hantavirus lab leak confirmed by June 30?$-9
Will the highest temperature in Paris be 26°C or higher on April 29?$-8
Will the highest temperature in Madrid be 28°C on May 1?$-7
Will Trump visit China by June 30?$-4

Risk Metrics

#4
Sharpe
-0.528
Sortino
-0.481
HHI
5390
Concentrated
EV per $1
$-1.529
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
72.8%
Top-5 markets
90%

Behavior Analysis

#5
Trades / Day
7.6
Moderate
Markets / Day
0.5
Active Hours
6/24
Normal
Peak Hour
20:00 UTC
Median Gap
38s
between trades
Avg Gap
1.9m
between trades
Night Trading
17%
22:00–06:00 UTC
Size Variance
1.46
Variable
Session Statistics
Sessions
6
Avg Duration
1 min
Avg Trades / Session
24.2

Bot Detection

#6
5
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 38s — normal for humanCV 1.46 — diverse sizes (human-like)17% night trades — unusual hours6/24 hours — normal schedule8 trades/day — normal0.5 markets/day — normal8% maker — normal mix

Timing Patterns

#7

Peak hour: 20:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
18.12
Heavy DCA

Price Levels

#9
Low (<20c)92.9%
Mid (20-55c)0%
High (>55c)7.1%

Sessions

#12
4/25/2026, 8:59:26 PM79 trades$35,4401 min
5/1/2026, 4:56:50 AM24 trades$1,2181 min
5/13/2026, 1:55:41 PM2 trades$1,0100 min
4/25/2026, 8:52:14 PM17 trades$5050 min
4/29/2026, 10:41:00 AM19 trades$1691 min
5/9/2026, 11:55:31 AM4 trades$1631 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-25
04-29
05-01
05-09
05-13

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

Profile

#14
Specialization
MIXED
75% weather
Holding Style
ACTIVE SELLER
90.3% sell
DCA Style
HEAVY
avg 18.12/mkt
Entry Bias
LOW $
L92.9 / M0 / H7.1