@0x8fEa791BD447fA7D88610287Ee5df1C9758aB5Bd-1770399633051

#419,3844

0x8fea791bd447fa7d88610287ee5df1c9758ab5bd

~9d· 9 markets · 32 tradesVol: $202,7822026-08-02 05:20:41
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.

4
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

25% (2/8)0/20
0.32x (win $16 / loss $52)0/15
Annualised Sharpe -5.7500/15
Sortino -5.9360/10
$-0.0759 per $1 invested0/10
HHI 1726 (8 markets)3.9/10
2/8 profitable days (25%)0/10
Max DD 351% of peak ($50 / $14)0/10

Badges

2
Profitable
PnL $+19
Lottery Player
41% entries < $0.20

Categories

2
🏛️ POLITICS#140,722$17Vol: $202,536
🎭 CULTURE#122,290$2Vol: $246

Overview

#1
Net PnL
$19
Polymarket official
Total Volume
$202,782
Total Redeem
$0
Portfolio
$0
Predictions
9
total markets
Trades
17B / 15S
Daily Volume
$0
Account Age
~9d

Periods

#2
Week
$1
Vol: $0
All Time
$19
Vol: $202,782

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
$19
Win Rate
25%
2W / 6L
Profit Factor
0.32x
Avg Win
$8
Avg Loss
$-17

Outlier Sensitivity: Top-3 = $17 (0.8474576271186441% of PnL)

Top Winners

Will LMP – Hungary’s Green Party (LMP) win the most seats in the next Hungarian parliamentary election?$16
Will Elon Musk post 140-164 tweets from June 6 to June 8, 2026?$0

Top Losers

Will Séamas McGrattan win the 2026 Dublin-central by-election?$-39
Will Matej Tonin be the next Prime Minister of Slovenia?$-11
Will Israel strike Gaza on February 14, 2026?$-2

Risk Metrics

#4
Sharpe
-0.282
Sortino
-0.231
HHI
1104
Moderate
EV per $1
$-0.093
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
22.7%
Top-5 markets
65.9%

Behavior Analysis

#5
Trades / Day
0.2
Moderate
Markets / Day
0.1
Active Hours
4/24
Normal
Peak Hour
6:00 UTC
Median Gap
42s
between trades
Avg Gap
1.2m
between trades
Night Trading
38%
22:00–06:00 UTC
Size Variance
0.43
Moderate
Session Statistics
Sessions
10
Avg Duration
1 min
Avg Trades / Session
3.2

Bot Detection

#6
25
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
MEDIUM
Market Coverage
LOW
Median gap 42s — normal for humanCV 0.43 — uniform order sizes38% night trades — never sleeps4/24 hours — normal schedule0 trades/day — normal0.1 markets/day — normal66% maker — normal mix

Timing Patterns

#7

Peak hour: 6:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.25
Moderate DCA

Price Levels

#9
Low (<20c)41.2%
Mid (20-55c)17.6%
High (>55c)41.2%

Sessions

#12
2/12/2026, 5:02:55 AM6 trades$2122 min
5/23/2026, 7:21:38 AM6 trades$1141 min
6/14/2026, 7:34:15 AM2 trades$920 min
3/19/2026, 6:39:37 AM3 trades$832 min
6/25/2026, 6:40:58 AM4 trades$820 min
3/8/2026, 5:18:29 AM2 trades$561 min
3/15/2026, 4:22:03 AM2 trades$531 min
6/25/2026, 6:49:02 AM2 trades$471 min
5/21/2026, 6:43:32 AM3 trades$421 min
6/7/2026, 4:03:19 AM2 trades$400 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-12
03-08
03-15
03-19
05-21
05-23
06-07
06-14

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

Max drawdown: 69 days (not recovered)

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
46.9% sell
DCA Style
MODERATE
avg 3.25/mkt
Entry Bias
LOW $
L41.2 / M17.6 / H41.2