@TA336

#598,48479

0x5f6a06c4b15ede635fe62ba59e7088da63e7bfe7

~9d· 23 markets · 32 tradesVol: $3,3702026-08-04 20:40:41
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.

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

Score Components

74% (17/23)20/20
3.96x (win $12 / loss $3)15/15
Annualised Sharpe 7.13115/15
Sortino 43.89710/10
$+0.0029 per $1 invested0.1/10
HHI 2555 (23 markets)0/10
6/9 profitable days (67%)9.2/10
Max DD 14% of peak ($1 / $9)10/10

Badges

5
Sniper
Win rate 74%
Profitable
PnL $+9
Consistent
6/9 profitable days
Cool Head
Max DD 14%
Win Streak
6 wins in a row

Categories

1
⚽ SPORTS#351,611$4Vol: $3,370

Overview

#1
Net PnL
$4
Polymarket official
Total Volume
$3,370
Total Redeem
$0
Portfolio
$0
Predictions
23
total markets
Trades
25B / 7S
Daily Volume
$0
Account Age
~9d

PnL Analysis

#3

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

Win Rate (events)
74%
17W / 6L events
Realized PnL
$9
Win Rate
74%
17W / 6L
Profit Factor
3.96x
Avg Win
$1
Avg Loss
$-1

Outlier Sensitivity: Top-3 = $10 (1.1664791901012372% of PnL)

Top Winners

Will Iraq win on 2026-06-22?$8
Jordan vs. Algeria: O/U 8.5$2
Will FC Internazionale Milano win on 2025-12-03?$0
Rockets vs. Jazz$0
Iowa Hawkeyes vs. Michigan State Spartans$0
Giants vs. Patriots$0
Pelicans vs. Lakers$0
Will FC St. Pauli 1910 win on 2026-01-17?$0
France vs. Iraq: O/U 1.5$0
Will Borussia Mönchengladbach win on 2026-03-06?$0

Top Losers

Mavericks vs. Nuggets$-1
Bakersfield Roadrunners vs. Fresno State Bulldogs$-1
Will FC St. Pauli 1910 win on 2026-02-28?$-1

Risk Metrics

#4
Sharpe
0.352
Sortino
5.079
HHI
2555
Concentrated
EV per $1
$0.003
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
33.1%
Top-5 markets
99.4%

Behavior Analysis

#5
Trades / Day
0.2
Moderate
Markets / Day
0.1
Active Hours
9/24
Normal
Peak Hour
21:00 UTC
Median Gap
1.1m
between trades
Avg Gap
2.4h
between trades
Night Trading
31%
22:00–06:00 UTC
Size Variance
2.28
Variable
Session Statistics
Sessions
12
Avg Duration
1 min
Avg Trades / Session
2.7

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 64s — normal for humanCV 2.28 — diverse sizes (human-like)31% night trades — never sleeps9/24 hours — normal schedule0 trades/day — normal0.1 markets/day — normal16% maker — normal mix

Timing Patterns

#7

Peak hour: 21:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.39
Single entry

Price Levels

#9
Low (<20c)0%
Mid (20-55c)0%
High (>55c)100%

Sessions

#12
6/22/2026, 9:36:26 PM3 trades$1,0040 min
6/23/2026, 3:27:10 AM3 trades$1,0010 min
12/3/2025, 8:58:29 PM3 trades$3370 min
11/30/2025, 9:58:00 PM3 trades$3372 min
12/3/2025, 1:42:07 AM1 trades$3350 min
1/17/2026, 7:11:42 AM4 trades$42 min
6/23/2026, 2:22:44 AM4 trades$32 min
12/1/2025, 8:51:50 AM3 trades$32 min
12/22/2025, 12:58:49 PM3 trades$31 min
2/23/2026, 3:10:38 AM2 trades$21 min
6/22/2026, 9:21:28 PM2 trades$10 min
12/4/2025, 6:45:25 AM1 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
11-30
12-01
12-03
12-04
12-22
01-17
02-23
06-22
06-23

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
21.9% sell
DCA Style
SINGLE
avg 1.39/mkt
Entry Bias
HIGH $
L0 / M0 / H100