@fdsfsdfsdfsd4

#108,12755

0x926fef92eb8d73088875538096a0577474294bca

~4d· 7 markets · 30 tradesVol: $77,8462026-09-10 21:15:23
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.

55
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

100% (6/6)20/20
99.00x (win $7 / loss $0)15/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$+0.0096 per $1 invested0.5/10
HHI 2967 (6 markets)0/10
2/2 profitable days (100%)10/10
Max DD 0% of peak ($0 / $7)10/10

Badges

5
Sniper
Win rate 100%
Profitable
PnL $+103
Consistent
2/2 profitable days
Cool Head
Max DD 0%
Win Streak
6 wins in a row

Categories

3
🌤️ WEATHER#2,394$602Vol: $76,168
🎭 CULTURE#92,062$5Vol: $1,526
⚽ SPORTS#434,156$1Vol: $101

Overview

#1
Net PnL
$609
Polymarket official
Total Volume
$77,846
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
11B / 19S
Daily Volume
$0
Account Age
~4d

Periods

#2
Today
$-80
Vol: $2,203
Week
$282
Vol: $12,672
Month
$261
Vol: $20,419
All Time
$609
Vol: $77,846

PnL Analysis

#3

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

Win Rate (events)
100%
6W / 0L events
Realized PnL
$103
Win Rate
100%
6W / 0L
Profit Factor
99x
Avg Win
$1
Avg Loss
$0

Outlier Sensitivity: Top-3 = $7 (0.06373882627283327% of PnL)

Top Winners

Will the highest temperature in Zhengzhou be 30°C on August 11?$4
Will the highest temperature in Zhengzhou be 26°C on August 11?$2
Will the highest temperature in Zhengzhou be 28°C on August 11?$1
Will the highest temperature in Zhengzhou be 29°C on August 11?$0
Will the highest temperature in Zhengzhou be 24°C on August 11?$0
Will the highest temperature in Guangzhou be 40°C on August 12?$0

Top Losers

Risk Metrics

#4
Sharpe
0.000
Sortino
0.000
HHI
882
Moderate
EV per $1
$0.019
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
27.2%
Top-5 markets
49.4%

Behavior Analysis

#5
Trades / Day
5.0
Moderate
Markets / Day
1.2
Active Hours
6/24
Normal
Peak Hour
5:00 UTC
Median Gap
24s
between trades
Avg Gap
2.0h
between trades
Night Trading
30%
22:00–06:00 UTC
Size Variance
0.96
Variable
Session Statistics
Sessions
6
Avg Duration
0 min
Avg Trades / Session
5.0

Bot Detection

#6
15
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 24s — normal for humanCV 0.96 — diverse sizes (human-like)30% night trades — never sleeps6/24 hours — normal schedule5 trades/day — normal1.2 markets/day — normal37% maker — normal mix

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.17
Moderate DCA

Price Levels

#9
Low (<20c)0%
Mid (20-55c)0%
High (>55c)100%

Sessions

#12
8/15/2026, 10:04:46 AM5 trades$3680 min
8/10/2026, 2:51:33 PM8 trades$2071 min
8/11/2026, 5:03:31 AM9 trades$1351 min
8/12/2026, 8:42:40 AM3 trades$770 min
8/11/2026, 6:58:22 AM3 trades$130 min
8/10/2026, 4:38:09 PM2 trades$70 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-08-11 12:00:00
2026-08-12 12:00:00

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
63.3% sell
DCA Style
MODERATE
avg 4.17/mkt
Entry Bias
HIGH $
L0 / M0 / H100