@0x9CE2eF…9198

#149,47265

0x9ce2efff530fca3b433a423c529d3e5071912d60

~8d· 12 markets · 34 tradesVol: $9132026-09-21 19:42:38
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.

65
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

86% (6/7)20/20
1300.34x (win $266 / loss $0)15/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$+0.4663 per $1 invested10/10
HHI 2552 (7 markets)0/10
5/6 profitable days (83%)10/10
Max DD 0% of peak ($0 / $265)10/10

Badges

4
Sniper
Win rate 86%
Profitable
PnL $+265
Consistent
5/6 profitable days
Cool Head
Max DD 0%

Categories

3
⚽ SPORTS#76,267$265Vol: $548
🏛️ POLITICS#448,655$0Vol: $319
🎭 CULTURE#286,346$0Vol: $46

Overview

#1
Net PnL
$265
Polymarket official
Total Volume
$913
Total Redeem
$0
Portfolio
$0
Predictions
12
total markets
Trades
19B / 15S
Daily Volume
$0
Account Age
~8d

Periods

#2
Month
$-0
Vol: $51
All Time
$265
Vol: $913

PnL Analysis

#3

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

Win Rate (events)
86%
6W / 1L events
Realized PnL
$265
Win Rate
86%
6W / 1L
Profit Factor
1328.5x
Avg Win
$44
Avg Loss
$-0

Outlier Sensitivity: Top-3 = $266 (1.000376789751319% of PnL)

Top Winners

Warriors vs. Bucks$265
Will Park Hong-keun win the 2026 Seoul Mayoral Election$0
Will Texas win the 2026 NCAA Tournament?$0
Will Ricardo Belmont win the 2026 Peruvian presidential election?$0
Will Elon Musk post 140-164 tweets from March 30 to April 1, 2026?$0
Will Elon Musk post 400-419 tweets from March 3 to March 10, 2026?$0

Top Losers

Will Han Dong-hoon win the 2026 Seoul Mayoral Election$-0

Risk Metrics

#4
Sharpe
0.409
Sortino
inf
HHI
1558
Moderate
EV per $1
$0.623
Kelly %
85.6%
Half-Kelly
42.8%
Top-1 market
35.1%
Top-5 markets
67.7%

Behavior Analysis

#5
Trades / Day
0.1
Moderate
Markets / Day
0.0
Active Hours
4/24
Normal
Peak Hour
4:00 UTC
Median Gap
32s
between trades
Avg Gap
53s
between trades
Night Trading
79%
22:00–06:00 UTC
Size Variance
1.37
Variable
Session Statistics
Sessions
8
Avg Duration
1 min
Avg Trades / Session
4.3

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
HIGH
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 32s — normal for humanCV 1.37 — diverse sizes (human-like)79% night trades — never sleeps4/24 hours — normal schedule0 trades/day — normal0.0 markets/day — normal41% maker — normal mix

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.14
Moderate DCA

Price Levels

#9
Low (<20c)10.5%
Mid (20-55c)5.3%
High (>55c)84.2%

Sessions

#12
10/30/2025, 2:12:29 PM1 trades$2000 min
3/26/2026, 4:35:35 AM3 trades$815 min
4/1/2026, 4:53:07 AM6 trades$732 min
4/14/2026, 4:56:45 AM8 trades$681 min
5/12/2026, 5:36:46 AM4 trades$631 min
4/29/2026, 5:26:58 AM6 trades$621 min
9/3/2026, 9:11:55 AM4 trades$510 min
3/10/2026, 2:53:35 PM2 trades$500 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
10-30
03-10
03-26
04-01
04-14
04-29

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

Max drawdown: 13 days (recovered)

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
44.1% sell
DCA Style
MODERATE
avg 4.14/mkt
Entry Bias
HIGH $
L10.5 / M5.3 / H84.2