@TinaGoat

#3,161,1150

0x6bc742cc8c377ae2e323700fb9eabb9fede7c4a9

~2d· 6 markets · 57 tradesVol: $492,6252026-10-08 03:04:05
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

0% (0/6)0/20
0.00x (win $0 / loss $2,223)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.7314 per $1 invested0/10
HHI 6824 (6 markets)0/10
0/5 profitable days (0%)0/10
Max DD 0% of peak ($2,223 / $0)0/10

Badges

1
Contrarian
57% entries < $0.55

Categories

4
₿ CRYPTO#30,248$955Vol: $247,759
⚽ SPORTS#1,931,396$-7,841Vol: $227,475
🏛️ POLITICS#1,532,617$-100Vol: $11,571
💻 TECH#264,615$-104Vol: $3,135

Overview

#1
Net PnL
$-6,827
Polymarket official
Total Volume
$492,625
Total Redeem
$0
Portfolio
$0
Predictions
6
total markets
Trades
21B / 36S
Daily Volume
$0
Account Age
~2d

Periods

#2
Today
$2,470
Vol: $16,819
Week
$5,965
Vol: $343,055
Month
$-1,607
Vol: $485,484
All Time
$-6,827
Vol: $492,625

PnL Analysis

#3

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

Win Rate (events)
0%
0W / 6L events
Realized PnL
$-855
Win Rate
0%
0W / 6L
Profit Factor
0x
Avg Win
$0
Avg Loss
$-445

Top Winners

Top Losers

Will CD Limache win on 2026-08-01?$-1,780
Will US Sassuolo Calcio win on 2026-09-02?$-130
LoL: Hanwha Life Esports vs T1 (BO5) - LCK Playoffs$-111
Will Venezia FC win on 2026-09-02?$-103
US Sassuolo Calcio vs. Frosinone Calcio: O/U 2.5$-99

Risk Metrics

#4
Sharpe
-0.592
Sortino
-0.543
HHI
5557
Concentrated
EV per $1
$-1.731
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
73.5%
Top-5 markets
96.1%

Behavior Analysis

#5
Trades / Day
28.5
Active
Markets / Day
3.0
Active Hours
11/24
Normal
Peak Hour
2:00 UTC
Median Gap
25.9m
between trades
Avg Gap
1.1h
between trades
Night Trading
23%
22:00–06:00 UTC
Size Variance
2.06
Variable
Session Statistics
Sessions
13
Avg Duration
1 min
Avg Trades / Session
4.4

Bot Detection

#6
20
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
MEDIUM
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 1557s — normal for humanCV 2.06 — diverse sizes (human-like)23% night trades — unusual hours11/24 hours — normal schedule28 trades/day — high frequency3.0 markets/day — normal37% maker — normal mix

Timing Patterns

#7

Peak hour: 2:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
9.5
Active DCA

Price Levels

#9
Low (<20c)4.8%
Mid (20-55c)52.4%
High (>55c)42.9%

Sessions

#12
9/3/2026, 2:09:25 AM10 trades$3,9922 min
9/2/2026, 3:23:37 PM4 trades$2090 min
9/2/2026, 8:38:13 PM2 trades$1550 min
9/2/2026, 5:08:09 AM3 trades$1420 min
9/2/2026, 11:52:58 PM5 trades$1121 min
9/2/2026, 12:25:37 PM2 trades$780 min
9/2/2026, 11:58:55 AM5 trades$770 min
9/2/2026, 3:45:18 PM2 trades$750 min
9/2/2026, 1:09:04 PM7 trades$581 min
9/2/2026, 2:55:52 PM3 trades$560 min
9/2/2026, 4:11:15 PM6 trades$264 min
9/2/2026, 8:44:04 AM6 trades$101 min
9/2/2026, 1:51:57 PM2 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-09-02 13:00:00
2026-09-02 14:00:00
2026-09-02 16:00:00
2026-09-02 18:45:00
2026-09-03 00:30:00

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

Profile

#14
Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
63.2% sell
DCA Style
HEAVY
avg 9.5/mkt
Entry Bias
HIGH $
L4.8 / M52.4 / H42.9