@lyingwei

#1,496,7524

0xa4aa03a0d1d299b5493ef17ac5701bb2fed30904

~4d· 10 markets · 24 tradesVol: $1,2752026-08-05 02:44:27
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.

4
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

38% (3/8)3.8/20
0.55x (win $115 / loss $209)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.4541 per $1 invested0/10
HHI 3020 (8 markets)0/10
1/4 profitable days (25%)0/10
Max DD 0% of peak ($145 / $0)0/10

Badges

1
Contrarian
70% entries < $0.55

Categories

1
⚽ SPORTS#1,133,324$-3Vol: $1,275

Overview

#1
Net PnL
$-3
Polymarket official
Total Volume
$1,275
Total Redeem
$0
Portfolio
$0
Predictions
10
total markets
Trades
10B / 14S
Daily Volume
$0
Account Age
~4d

Periods

#2
Today
$-7
Vol: $0
Week
$61
Vol: $510
Month
$-29
Vol: $589
All Time
$-3
Vol: $1,275

PnL Analysis

#3

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

Win Rate (events)
38%
3W / 5L events
Realized PnL
$-3
Win Rate
38%
3W / 5L
Profit Factor
0.55x
Avg Win
$38
Avg Loss
$-42

Outlier Sensitivity: Top-3 = $115 (38.05940594059406% of PnL)

Top Winners

RU Saint-Gilloise vs. FK Bodø/Glimt: FK Bodø/Glimt O/U 1.5$51
New York City FC vs. Toronto FC: Both Teams to Score$33
Will KFUM-Kameratene Oslo win on 2026-08-02?$32

Top Losers

Will New York City FC win on 2026-07-31?$-60
New York City FC vs. Toronto FC: O/U 3.5$-42
Will Gangwon FC win on 2026-08-01?$-42
KFUM-Kameratene Oslo vs. Kristiansund BK: O/U 3.5$-39
Exact Score: New York City FC 3 - 2 Toronto FC?$-26

Risk Metrics

#4
Sharpe
-0.382
Sortino
-0.530
HHI
838
Moderate
EV per $1
$-0.567
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
14.5%
Top-5 markets
54.7%

Behavior Analysis

#5
Trades / Day
4.8
Moderate
Markets / Day
2.0
Active Hours
5/24
Normal
Peak Hour
12:00 UTC
Median Gap
36s
between trades
Avg Gap
5.1h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
0.19
Very consistent
Session Statistics
Sessions
5
Avg Duration
1 min
Avg Trades / Session
4.8

Bot Detection

#6
10
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
HIGH
Market Coverage
LOW
Median gap 36s — normal for humanCV 0.19 — uniform order sizes0% night trades — normal pattern5/24 hours — normal schedule5 trades/day — normal2.0 markets/day — normal42% maker — normal mix

Timing Patterns

#7

Peak hour: 12:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2.5
Moderate DCA

Price Levels

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

Sessions

#12
7/31/2026, 12:39:15 PM11 trades$4922 min
8/4/2026, 11:26:20 PM4 trades$970 min
8/2/2026, 8:42:36 AM4 trades$911 min
8/4/2026, 6:23:26 AM3 trades$450 min
8/1/2026, 7:18:38 AM2 trades$330 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-07-31 23:30:00
2026-08-01 10:30:00
2026-08-02 15:00:00
2026-08-04 18:00:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
58.3% sell
DCA Style
MODERATE
avg 2.5/mkt
Entry Bias
MIXED
L10 / M60 / H30