@fffgfggfgf

#3,086,8510

0xc0f66e4bd972651e4f6ccca2eda3b0d3a554e7ab

~1d· 5 markets · 146 tradesVol: $52,7912026-08-26 09:12:45
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

20% (1/5)0/20
0.10x (win $1,528 / loss $15,317)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.3240 per $1 invested0/10
HHI 2678 (5 markets)0/10
0/2 profitable days (0%)0/10
Max DD 0% of peak ($13,788 / $0)0/10

Badges

1
High Roller
$10,414/day

Categories

1
SPORTS#1,888,446$-6,486Vol: $52,791

Overview

#1
Net PnL
$-6,486
Polymarket official
Total Volume
$52,791
Total Redeem
$0
Portfolio
$0
Predictions
5
total markets
Trades
41B / 105S
Daily Volume
$0
Account Age
~1d

Periods

#2
Month
$-6,486
Vol: $52,791
All Time
$-6,486
Vol: $52,791

PnL Analysis

#3

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

Win Rate (events)
20%
1W / 4L events
Realized PnL
$-6,486
Win Rate
20%
1W / 4L
Profit Factor
0.1x
Avg Win
$1,528
Avg Loss
$-3,829

Outlier Sensitivity: Top-3 = $1,528 (0.23566842644102082% of PnL)

Top Winners

Will NEOM SC win on 2026-08-21?$1,528

Top Losers

Will SC Preußen Münster vs. Karlsruher SC end in a draw?$-5,871
Will SC Preußen Münster win on 2026-08-21?$-4,875
Will Pau FC vs. AS Nancy-Lorraine end in a draw?$-4,564
Will Al Faisaly Saudi Club vs. NEOM SC end in a draw?$-7

Risk Metrics

#4
Sharpe
0.000
Sortino
0.000
HHI
2713
Concentrated
EV per $1
$-1.324
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
33.7%
Top-5 markets
100%

Behavior Analysis

#5
Trades / Day
146.0
Very active
Markets / Day
5.0
Active Hours
4/24
Normal
Peak Hour
18:00 UTC
Median Gap
20s
between trades
Avg Gap
4.6m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.26
Variable
Session Statistics
Sessions
7
Avg Duration
4 min
Avg Trades / Session
20.9

Bot Detection

#6
30
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
LOW
Median gap 20s — normal for humanCV 1.27 — diverse sizes (human-like)0% night trades — normal pattern4/24 hours — normal schedule146 trades/day — automation5.0 markets/day — normal28% maker — normal mix

Timing Patterns

#7

Peak hour: 18:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
29.2
Heavy DCA

Price Levels

#9
Low (<20c)0%
Mid (20-55c)46.3%
High (>55c)53.7%

Sessions

#12
8/21/2026, 5:31:55 PM28 trades$6,3776 min
8/21/2026, 4:40:37 PM17 trades$4,9681 min
8/21/2026, 6:33:45 PM40 trades$3,31114 min
8/21/2026, 7:24:18 PM21 trades$2,4172 min
8/21/2026, 6:14:03 PM21 trades$1,4527 min
8/21/2026, 5:45:40 PM8 trades$1,1560 min
8/21/2026, 7:44:42 PM11 trades$6450 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-08-21 16:00:00
2026-08-21 18:00:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
71.9% sell
DCA Style
HEAVY
avg 29.2/mkt
Entry Bias
HIGH $
L0 / M46.3 / H53.7