@0xc0b2…f9b3

#2,500,67818

0xc0b2df15b36c88f1bfc28efd5b10d7c3337af9b3

~10d· 10 markets · 15 tradesVol: $3,4772026-08-05 04:02:14
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.

18
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

50% (5/10)10/20
0.87x (win $579 / loss $663)0.9/15
Annualised Sharpe -0.8080/15
Sortino -0.9290/10
$-0.0509 per $1 invested0/10
HHI 2128 (10 markets)1.9/10
5/10 profitable days (50%)5/10
Max DD 115% of peak ($663 / $579)0/10

Categories

4
⚽ SPORTS#1,655,632$-84Vol: $3,044
💰 FINANCE#500,297$-2Vol: $330
💻 TECH#91,132$0Vol: $100
₿ CRYPTO#689,192$0Vol: $2

Overview

#1
Net PnL
$-86
Polymarket official
Total Volume
$3,477
Total Redeem
$2
Portfolio
$0
Predictions
10
total markets
Trades
10B / 5S
Daily Volume
$0
Account Age
~10d

Periods

#2
Today
$0
Vol: $0
Week
$0
Vol: $0
Month
$0
Vol: $0
All Time
$-86
Vol: $3,477

PnL Analysis

#3

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

Win Rate (events)
50%
5W / 5L events
Realized PnL
$-86
Win Rate
50%
5W / 5L
Profit Factor
0.87x
Avg Win
$116
Avg Loss
$-331

Outlier Sensitivity: Top-3 = $521 (6.052986288635835% of PnL)

Top Winners

Will Athletic Club win on 2026-02-01?$204
Will Stade Brestois 29 vs. FC Lorient end in a draw?$184
Brighton & Hove Albion FC vs. Everton FC: O/U 2.5$133
Bucks vs. Nuggets: O/U 222.5$58
Will Google have the best AI model at the end of July 2026?$0

Top Losers

Bologna FC 1909 vs. SS Lazio: O/U 2.5$-530
Will Arsenal FC win on 2026-02-12?$-133

Risk Metrics

#4
Sharpe
-0.040
Sortino
-0.030
HHI
2133
Moderate
EV per $1
$-0.051
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
32.1%
Top-5 markets
89.6%

Behavior Analysis

#5
Trades / Day
0.1
Moderate
Markets / Day
0.1
Active Hours
7/24
Normal
Peak Hour
17:00 UTC
Median Gap
15.8h
between trades
Avg Gap
15.8h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.06
Variable
Session Statistics
Sessions
10
Avg Duration
0 min
Avg Trades / Session
1.5

Bot Detection

#6
0
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 56988s — normal for humanCV 1.06 — diverse sizes (human-like)0% night trades — normal pattern7/24 hours — normal schedule0 trades/day — normal0.1 markets/day — normal20% maker — normal mix

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.5
Single entry

Price Levels

#9
Low (<20c)10%
Mid (20-55c)30%
High (>55c)60%

Sessions

#12
2/11/2026, 8:08:51 PM1 trades$5300 min
2/6/2026, 8:42:29 PM1 trades$4300 min
2/1/2026, 7:04:44 PM1 trades$2590 min
2/12/2026, 11:58:39 AM1 trades$1330 min
1/28/2026, 7:14:08 PM1 trades$1280 min
7/24/2026, 7:34:01 PM2 trades$1000 min
1/11/2026, 1:48:50 PM1 trades$650 min
6/24/2026, 5:49:10 PM5 trades$40 min
3/24/2026, 9:15:57 AM1 trades$20 min
2/24/2026, 8:31:16 AM1 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
01-11
01-28
02-01
02-06
02-11
02-12
02-24
03-24
06-24
07-24

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

Max drawdown: 6 days (not recovered)

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
33.3% sell
DCA Style
SINGLE
avg 1.5/mkt
Entry Bias
HIGH $
L10 / M30 / H60