@rafaroitman

#199,02739

0xe1ced91028d25cc107ecc3128572ec72827ea54a

~4d· 11 markets · 26 tradesVol: $4,0842026-08-04 17:19:23
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.

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

Score Components

10% (1/10)0/20
1.63x (win $1,493 / loss $914)10.4/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$+0.5665 per $1 invested10/10
HHI 1696 (10 markets)4/10
1/2 profitable days (50%)5/10
Max DD 4% of peak ($22 / $602)10/10

Badges

4
Profitable
PnL $+147
Lottery Player
84% entries < $0.20
Diamond Hands
4% sells
Cool Head
Max DD 4%

Categories

2
⚽ SPORTS#101,763$145Vol: $3,598
🎭 CULTURE#118,217$2Vol: $486

Overview

#1
Net PnL
$147
Polymarket official
Total Volume
$4,084
Total Redeem
$0
Portfolio
$0
Predictions
11
total markets
Trades
25B / 1S
Daily Volume
$0
Account Age
~4d

Periods

#2
Month
$0
Vol: $77
All Time
$147
Vol: $4,084

PnL Analysis

#3

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

Win Rate (events)
10%
1W / 9L events
Realized PnL
$147
Win Rate
10%
1W / 9L
Profit Factor
1.63x
Avg Win
$1,493
Avg Loss
$-102

Outlier Sensitivity: Top-3 = $1,493 (10.14620558461852% of PnL)

Top Winners

Will Spain win the 2026 FIFA World Cup?$1,493

Top Losers

Will France win the 2026 FIFA World Cup?$-287
Will England win the 2026 FIFA World Cup?$-198
Will Argentina win the 2026 FIFA World Cup?$-160
Will Portugal win the 2026 FIFA World Cup?$-88
Will Germany win the 2026 FIFA World Cup?$-64
Will Netherlands win the 2026 FIFA World Cup?$-40
Will Norway win the 2026 FIFA World Cup?$-29
Will Japan win the 2026 FIFA World Cup?$-28
Will Morocco win the 2026 FIFA World Cup?$-22

Risk Metrics

#4
Sharpe
0.000
Sortino
0.000
HHI
2333
Moderate
EV per $1
$0.483
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
28%
Top-5 markets
99.5%

Behavior Analysis

#5
Trades / Day
0.2
Moderate
Markets / Day
0.1
Active Hours
5/24
Normal
Peak Hour
17:00 UTC
Median Gap
18s
between trades
Avg Gap
41.7m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.11
Variable
Session Statistics
Sessions
6
Avg Duration
1 min
Avg Trades / Session
4.3

Bot Detection

#6
0
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 18s — normal for humanCV 1.11 — diverse sizes (human-like)0% night trades — normal pattern5/24 hours — normal schedule0 trades/day — normal0.1 markets/day — normal58% maker — normal mix

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.2
Moderate DCA

Price Levels

#9
Low (<20c)84%
Mid (20-55c)0%
High (>55c)16%

Sessions

#12
4/20/2026, 5:06:38 PM20 trades$6003 min
7/31/2026, 8:54:03 PM1 trades$2170 min
7/31/2026, 8:17:12 PM1 trades$1000 min
7/31/2026, 1:18:54 PM2 trades$790 min
8/2/2026, 10:20:06 AM1 trades$670 min
4/25/2026, 8:42:20 AM1 trades$00 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-20
04-25

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

Max drawdown: 5 days (not recovered)

Profile

#14
Specialization
MIXED
0% weather
Holding Style
HOLD
3.8% sell
DCA Style
MODERATE
avg 4.2/mkt
Entry Bias
LOW $
L84 / M0 / H16