@gksehgsoheiogesh

#1,917,18581

0x9d760a60fcfdb859d9c66b523eef58bee192f081

~8d· 10 markets · 19 tradesVol: $1,3422026-09-22 12:42:24
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.

81
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

70% (7/10)20/20
2.47x (win $8 / loss $3)15/15
Annualised Sharpe 4.99115/15
Sortino 9.32810/10
$+0.1133 per $1 invested5.7/10
HHI 1233 (10 markets)6.3/10
4/9 profitable days (44%)3.6/10
Max DD 41% of peak ($3 / $8)5.8/10

Badges

2
Sniper
Win rate 70%
Win Streak
6 wins in a row

Categories

4
🌤️ WEATHER#252,361$-14Vol: $338
⚽ SPORTS#482,828$0Vol: $181
₿ CRYPTO#627,262$0Vol: $1
💻 TECH#126,193$0Vol: $1

Overview

#1
Net PnL
$-12
Polymarket official
Total Volume
$1,342
Total Redeem
$0
Portfolio
$0
Predictions
10
total markets
Trades
13B / 6S
Daily Volume
$0
Account Age
~8d

Periods

#2
Today
$-1
Vol: $77
Week
$-9
Vol: $461
Month
$-9
Vol: $1,111
All Time
$-12
Vol: $1,342

PnL Analysis

#3

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

Win Rate (events)
70%
7W / 3L events
Realized PnL
$-12
Win Rate
70%
7W / 3L
Profit Factor
2.47x
Avg Win
$1
Avg Loss
$-3

Outlier Sensitivity: Top-3 = $8 (0.6645316253002402% of PnL)

Top Winners

Will the highest temperature in Sao Paulo be 25°C on July 26?$5
Will the highest temperature in Busan be 35°C on July 27?$2
Will the highest temperature in Kuala Lumpur be 30°C on July 25?$1
Will the highest temperature in Singapore be 34°C on July 31?$0

Top Losers

Will the highest temperature in Wellington be 12°C on July 28?$-3

Risk Metrics

#4
Sharpe
0.246
Sortino
553.333
HHI
1086
Moderate
EV per $1
$0.113
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
15%
Top-5 markets
60.3%

Behavior Analysis

#5
Trades / Day
0.4
Moderate
Markets / Day
0.2
Active Hours
9/24
Normal
Peak Hour
17:00 UTC
Median Gap
6.2h
between trades
Avg Gap
8.3h
between trades
Night Trading
21%
22:00–06:00 UTC
Size Variance
0.49
Moderate
Session Statistics
Sessions
11
Avg Duration
0 min
Avg Trades / Session
1.7

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
MEDIUM
Market Coverage
LOW
Median gap 22337s — normal for humanCV 0.49 — uniform order sizes21% night trades — unusual hours9/24 hours — normal schedule0 trades/day — normal0.2 markets/day — normal68% maker — normal mix

Timing Patterns

#7

Peak hour: 17:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
1.9
Single entry

Price Levels

#9
Low (<20c)0%
Mid (20-55c)15.4%
High (>55c)84.6%

Sessions

#12
9/5/2026, 9:34:27 AM2 trades$100 min
9/8/2026, 7:01:10 PM2 trades$100 min
7/26/2026, 5:13:43 PM3 trades$83 min
7/25/2026, 9:06:09 AM2 trades$50 min
9/5/2026, 10:37:27 AM1 trades$50 min
9/10/2026, 2:37:22 AM1 trades$50 min
9/10/2026, 1:55:33 PM1 trades$50 min
7/28/2026, 12:45:24 AM1 trades$30 min
7/27/2026, 4:06:58 AM2 trades$30 min
7/30/2026, 5:33:48 PM2 trades$10 min
7/30/2026, 11:46:05 PM2 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-07-25 12:00:00
2026-07-26 12:00:00
2026-07-27 12:00:00
2026-07-28 12:00:00
2026-07-31 12:00:00
2026-09-05 12:00:00
2026-09-08 23:00:00
2026-09-10 05:00:00
2026-09-10 17:00:00

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

Profile

#14
Specialization
MIXED
70% weather
Holding Style
ACTIVE SELLER
31.6% sell
DCA Style
SINGLE
avg 1.9/mkt
Entry Bias
HIGH $
L0 / M15.4 / H84.6