@TempV

#147,46614

0x1ab52ecc3dedd99d62697faa2f83457117daf7d8

~1d· 7 markets · 33 tradesVol: $89,1632026-08-26 09:12:55
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.

14
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

57% (4/7)13.6/20
0.10x (win $1 / loss $6)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.4553 per $1 invested0/10
HHI 3542 (7 markets)0/10
0/1 profitable days (0%)0/10
Max DD 0% of peak ($5 / $0)0/10

Badges

3
Profitable
PnL $+300
Lottery Player
95% entries < $0.20
🏗️Market Maker
76% maker orders

Categories

1
🌤️ WEATHER#3,973$300Vol: $89,163

Overview

#1
Net PnL
$300
Polymarket official
Total Volume
$89,163
Total Redeem
$0
Portfolio
$0
Predictions
7
total markets
Trades
21B / 12S
Daily Volume
$0
Account Age
~1d

PnL Analysis

#3

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

Win Rate (events)
57%
4W / 3L events
Realized PnL
$300
Win Rate
57%
4W / 3L
Profit Factor
0.1x
Avg Win
$0
Avg Loss
$-2

Outlier Sensitivity: Top-3 = $1 (0.001801441152922338% of PnL)

Top Winners

Will the highest temperature in Istanbul be 9°C on April 4?$0
Will the highest temperature in Chongqing be 23°C on April 4?$0
Will the highest temperature in Mexico City be 24°C on April 4?$0
Will the highest temperature in Chicago be between 70-71°F on April 4?$0

Top Losers

Will the highest temperature in Shanghai be 17°C on April 4?$-5
Will the highest temperature in Shanghai be 16°C on April 4?$-1
Will the highest temperature in Paris be 13°C on April 4?$-0

Risk Metrics

#4
Sharpe
0.000
Sortino
0.000
HHI
4129
Concentrated
EV per $1
$-0.455
Kelly %
39.8%
Half-Kelly
19.9%
Top-1 market
45.5%
Top-5 markets
99.6%

Behavior Analysis

#5
Trades / Day
33.0
Active
Markets / Day
7.0
Active Hours
2/24
Normal
Peak Hour
15:00 UTC
Median Gap
1.5m
between trades
Avg Gap
13.2m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
2.71
Variable
Session Statistics
Sessions
3
Avg Duration
7 min
Avg Trades / Session
11.0

Bot Detection

#6
20
LIKELY HUMAN (fast interface)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 92s — normal for humanCV 2.72 — diverse sizes (human-like)0% night trades — normal pattern2/24 hours — normal schedule33 trades/day — high frequency7.0 markets/day — normal76% maker — frequent liquidity provider

Timing Patterns

#7

Peak hour: 15:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.71
Moderate DCA

Price Levels

#9
Low (<20c)95.2%
Mid (20-55c)0%
High (>55c)4.8%

Sessions

#12
4/3/2026, 3:37:05 PM17 trades$616 min
4/3/2026, 6:31:45 PM11 trades$60 min
4/3/2026, 3:26:31 PM5 trades$05 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-03

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
36.4% sell
DCA Style
MODERATE
avg 4.71/mkt
Entry Bias
LOW $
L95.2 / M0 / H4.8