@klapa86

#106,3070

0x4c7301f230b21b1090a090d2c5cdc3deff42c202

~4d· 7 markets · 192 tradesVol: $440,2732026-09-13 03:43:11
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.

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

Score Components

17% (1/6)0/20
0.21x (win $844 / loss $4,049)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.2490 per $1 invested0/10
HHI 6484 (6 markets)0/10
1/5 profitable days (20%)0/10
Max DD 0% of peak ($3,206 / $0)0/10

Badges

2
Profitable
PnL $+1,370
High Roller
$2,574/day

Categories

2
⚽ SPORTS#51,437$631Vol: $440,200
🏛️ POLITICS#273,807$2Vol: $73

Overview

#1
Net PnL
$633
Polymarket official
Total Volume
$440,273
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
122B / 70S
Daily Volume
$0
Account Age
~4d

Periods

#2
Today
$-0
Vol: $0
Week
$-2,797
Vol: $0
Month
$633
Vol: $440,273
All Time
$633
Vol: $440,273

PnL Analysis

#3

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

Win Rate (events)
25%
1W / 3L events
Realized PnL
$1,370
Win Rate
25%
1W / 3L
Profit Factor
0.21x
Avg Win
$844
Avg Loss
$-810

Outlier Sensitivity: Top-3 = $844 (0.6156557658203368% of PnL)

Top Winners

US Sassuolo Calcio vs. Frosinone Calcio: O/U 2.5$844

Top Losers

Will Wuhan San Zhen FC win on 2026-09-05?$-2,008
Will Torino FC win on 2026-09-01?$-1,772
Will US Sassuolo Calcio win on 2026-09-02?$-167
Will Avispa Fukuoka win on 2026-09-05?$-85
Ipswich Town FC vs. Liverpool FC: O/U 3.5$-19

Risk Metrics

#4
Sharpe
-0.543
Sortino
-0.602
HHI
4989
Concentrated
EV per $1
$-0.302
Kelly %
4.8%
Half-Kelly
2.4%
Top-1 market
70.1%
Top-5 markets
82.1%

Behavior Analysis

#5
Trades / Day
38.4
Active
Markets / Day
1.4
Active Hours
6/24
Normal
Peak Hour
12:00 UTC
Median Gap
10s
between trades
Avg Gap
35.8m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
2.47
Variable
Session Statistics
Sessions
9
Avg Duration
2 min
Avg Trades / Session
21.3

Bot Detection

#6
20
LIKELY HUMAN (fast interface)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 10s — suspiciously fastCV 2.47 — diverse sizes (human-like)0% night trades — normal pattern6/24 hours — normal schedule38 trades/day — high frequency1.4 markets/day — normal64% maker — normal mix

Timing Patterns

#7

Peak hour: 12:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
28.83
Heavy DCA

Price Levels

#9
Low (<20c)0.8%
Mid (20-55c)28.7%
High (>55c)70.5%

Sessions

#12
9/5/2026, 12:25:51 PM25 trades$5,2835 min
9/5/2026, 12:12:07 PM30 trades$3,3884 min
9/5/2026, 4:10:55 PM19 trades$3,1730 min
9/1/2026, 7:35:39 PM18 trades$2,1963 min
9/5/2026, 12:51:27 PM26 trades$1,8211 min
9/5/2026, 11:45:09 AM50 trades$1,6155 min
9/2/2026, 2:34:55 PM14 trades$5543 min
9/2/2026, 2:17:39 PM5 trades$2261 min
9/4/2026, 8:25:55 PM5 trades$531 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-09-01 19:00:00
2026-09-02 13:00:00
2026-09-04 19:00:00
2026-09-05 10:00:00
2026-09-05 11:00:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
36.5% sell
DCA Style
HEAVY
avg 28.83/mkt
Entry Bias
HIGH $
L0.8 / M28.7 / H70.5