@liutaurasp

#2,471,8610

0x5a40325834de6c07c9ba5748d321aaae2b9167ab

~2d· 12 markets · 41 tradesVol: $13,3542026-08-26 09:14:40
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

22% (2/9)0/20
0.32x (win $10 / loss $32)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.2579 per $1 invested0/10
HHI 5779 (9 markets)0/10
0/3 profitable days (0%)0/10
Max DD 0% of peak ($22 / $0)0/10

Badges

1
Lottery Player
55% entries < $0.20

Categories

5
🌤️ WEATHER#281,960$-57Vol: $12,727
🎭 CULTURE#696,712$-10Vol: $240
💻 TECH#30,785$3Vol: $200
₿ CRYPTO#1,114,980$-8Vol: $167
🏛️ POLITICS#245,576$3Vol: $20

Overview

#1
Net PnL
$-68
Polymarket official
Total Volume
$13,354
Total Redeem
$0
Portfolio
$0
Predictions
12
total markets
Trades
20B / 21S
Daily Volume
$0
Account Age
~2d

Periods

#2
Month
$-68
Vol: $13,354
All Time
$-68
Vol: $13,354

PnL Analysis

#3

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

Win Rate (events)
22%
2W / 7L events
Realized PnL
$-26
Win Rate
22%
2W / 7L
Profit Factor
0.32x
Avg Win
$5
Avg Loss
$-6

Outlier Sensitivity: Top-3 = $10 (0.3897592663354986% of PnL)

Top Winners

Will the highest temperature in Chongqing be 33°C on August 9?$5
Will the highest temperature in Wuhan be 34°C on August 9?$5

Top Losers

Will the highest temperature in Warsaw be 25°C on August 9?$-11
Will the highest temperature in Madrid be 39°C on August 7?$-9
Trump declassifies new UFO files by August 15?$-6
Will the highest temperature in Singapore be 33°C on August 7?$-3
Will the highest temperature in Milan be 33°C on August 7?$-3

Risk Metrics

#4
Sharpe
-1.037
Sortino
-1.037
HHI
490
Diversified
EV per $1
$-0.426
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
12.1%
Top-5 markets
43.3%

Behavior Analysis

#5
Trades / Day
10.2
Active
Markets / Day
3.0
Active Hours
3/24
Normal
Peak Hour
15:00 UTC
Median Gap
2.9m
between trades
Avg Gap
42.7m
between trades
Night Trading
5%
22:00–06:00 UTC
Size Variance
0.89
Variable
Session Statistics
Sessions
7
Avg Duration
2 min
Avg Trades / Session
5.9

Bot Detection

#6
5
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 175s — normal for humanCV 0.89 — diverse sizes (human-like)5% night trades — normal pattern3/24 hours — normal schedule10 trades/day — very active3.0 markets/day — normal49% maker — normal mix

Timing Patterns

#7

Peak hour: 15:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
3.89
Moderate DCA

Price Levels

#9
Low (<20c)55%
Mid (20-55c)10%
High (>55c)35%

Sessions

#12
8/7/2026, 3:38:43 PM7 trades$1,5000 min
8/7/2026, 3:30:16 PM12 trades$5063 min
8/10/2026, 2:53:52 PM4 trades$391 min
8/7/2026, 3:01:51 PM7 trades$368 min
8/10/2026, 5:58:00 AM2 trades$260 min
8/7/2026, 2:36:57 PM4 trades$164 min
8/7/2026, 3:19:10 PM5 trades$140 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-08-07 12:00:00
2026-08-09 12:00:00
2026-08-15 23:59:00

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

Profile

#14
Specialization
WEATHER
88.9% weather
Holding Style
ACTIVE SELLER
51.2% sell
DCA Style
MODERATE
avg 3.89/mkt
Entry Bias
LOW $
L55 / M10 / H35