@fatmoney7

#1,864,9260

0x7f645ba28cac2f66bdf3ca1f97d34223e859c243

~3d· 7 markets · 14 tradesVol: $1,3662026-08-26 09:58:20
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

14% (1/7)0/20
0.09x (win $1 / loss $16)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-1.6234 per $1 invested0/10
HHI 9632 (7 markets)0/10
0/4 profitable days (0%)0/10
Max DD 0% of peak ($15 / $0)0/10

Badges

1
Contrarian
71% entries < $0.55

Categories

4
🌤️ WEATHER#182,199$-1Vol: $217
₿ CRYPTO#871,330$-1Vol: $100
⚽ SPORTS#1,192,915$-4Vol: $33
💰 FINANCE#166,996$0Vol: $3

Overview

#1
Net PnL
$-10
Polymarket official
Total Volume
$1,366
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
7B / 7S
Daily Volume
$0
Account Age
~3d

Periods

#2
Today
$-0
Vol: $0
Week
$-0
Vol: $0
Month
$-10
Vol: $1,366
All Time
$-10
Vol: $1,366

PnL Analysis

#3

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

Win Rate (events)
14%
1W / 6L events
Realized PnL
$-10
Win Rate
14%
1W / 6L
Profit Factor
0.09x
Avg Win
$1
Avg Loss
$-3

Outlier Sensitivity: Top-3 = $1 (0.13844621513944225% of PnL)

Top Winners

Will the lowest temperature in London be 18°C on August 5?$1

Top Losers

Will Portland Timbers win on 2026-08-09?$-4
Will CF América win on 2026-08-09?$-4
Will the highest temperature in Seoul (Incheon) be 35°C on August 5?$-2
Counter-Strike: 100 Thieves vs 1WIN (BO3) - Esports World Cup Open Qualifier Play-Ins$-2
Will the highest temperature in Paris be 29°C on August 5?$-2
Detroit Tigers vs. San Francisco Giants$-2

Risk Metrics

#4
Sharpe
-1.254
Sortino
-1.254
HHI
1605
Moderate
EV per $1
$-1.623
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
22.2%
Top-5 markets
77.8%

Behavior Analysis

#5
Trades / Day
2.3
Moderate
Markets / Day
1.2
Active Hours
2/24
Normal
Peak Hour
3:00 UTC
Median Gap
16.4m
between trades
Avg Gap
1.9h
between trades
Night Trading
71%
22:00–06:00 UTC
Size Variance
0.35
Moderate
Session Statistics
Sessions
6
Avg Duration
0 min
Avg Trades / Session
2.3

Bot Detection

#6
25
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
HIGH
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
MEDIUM
Market Coverage
LOW
Median gap 982s — normal for humanCV 0.35 — uniform order sizes71% night trades — never sleeps2/24 hours — normal schedule2 trades/day — normal1.2 markets/day — normal50% maker — normal mix

Timing Patterns

#7

Peak hour: 3:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2
Single entry

Price Levels

#9
Low (<20c)14.3%
Mid (20-55c)57.1%
High (>55c)28.6%

Sessions

#12
8/9/2026, 6:36:58 PM2 trades$1,0000 min
8/10/2026, 3:20:09 AM4 trades$103 min
8/5/2026, 3:08:41 AM2 trades$30 min
8/9/2026, 6:20:36 PM2 trades$20 min
8/5/2026, 3:00:57 AM2 trades$20 min
8/5/2026, 3:26:02 AM2 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-08-05 12:00:00
2026-08-09 22:00:00
2026-08-10 02:15:00
2026-08-16 20:05:00

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

Profile

#14
Specialization
MIXED
42.9% weather
Holding Style
ACTIVE SELLER
50% sell
DCA Style
SINGLE
avg 2/mkt
Entry Bias
MIXED
L14.3 / M57.1 / H28.6