@nostradamos05

#1,839,67916

0x3cb6a7854d02edd75b84258144521f5977ccbb1b

~3d· 9 markets · 18 tradesVol: $1172026-08-26 09:16:36
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.

16
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

50% (4/8)10/20
0.75x (win $6 / loss $8)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.2216 per $1 invested0/10
HHI 1342 (8 markets)5.8/10
0/2 profitable days (0%)0/10
Max DD 0% of peak ($2 / $0)0/10

Badges

1
Contrarian
56% entries < $0.55

Categories

1
🌤️ WEATHER#246,823$-10Vol: $117

Overview

#1
Net PnL
$-10
Polymarket official
Total Volume
$117
Total Redeem
$0
Portfolio
$0
Predictions
9
total markets
Trades
9B / 9S
Daily Volume
$0
Account Age
~3d

Periods

#2
Week
$0
Vol: $0
Month
$-12
Vol: $113
All Time
$-10
Vol: $117

PnL Analysis

#3

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

Win Rate (events)
50%
4W / 4L events
Realized PnL
$-9
Win Rate
50%
4W / 4L
Profit Factor
0.75x
Avg Win
$2
Avg Loss
$-2

Outlier Sensitivity: Top-3 = $5 (0.514799154334038% of PnL)

Top Winners

Will the highest temperature in Amsterdam be 28°C on August 12?$2
Will the highest temperature in Kuala Lumpur be 34°C on August 12?$2
Will the highest temperature in Paris be 35°C on August 12?$1
Will the highest temperature in Singapore be 32°C on August 13?$1

Top Losers

Will the highest temperature in Shanghai be 28°C on August 13?$-2
Will the highest temperature in Guangzhou be 38°C on August 12?$-2
Will the highest temperature in Busan be 30°C on August 12?$-2
Will the highest temperature in Shanghai be 29°C on August 12?$-2

Risk Metrics

#4
Sharpe
0.000
Sortino
0.000
HHI
988
Moderate
EV per $1
$-0.249
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
11.1%
Top-5 markets
55.6%

Behavior Analysis

#5
Trades / Day
6.0
Moderate
Markets / Day
3.0
Active Hours
3/24
Normal
Peak Hour
19:00 UTC
Median Gap
1.1m
between trades
Avg Gap
2.7h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
0.00
Very consistent
Session Statistics
Sessions
4
Avg Duration
1 min
Avg Trades / Session
4.5

Bot Detection

#6
10
HUMAN (manual trading)LOW probability

7 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
HIGH
Market Coverage
LOW
Median gap 66s — normal for humanCV 0.00 — uniform order sizes0% night trades — normal pattern3/24 hours — normal schedule6 trades/day — normal3.0 markets/day — normal50% maker — normal mix

Timing Patterns

#7

Peak hour: 19:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
2
Single entry

Price Levels

#9
Low (<20c)0%
Mid (20-55c)55.6%
High (>55c)44.4%

Sessions

#12
8/11/2026, 7:53:13 PM8 trades$93 min
8/12/2026, 2:50:30 PM4 trades$41 min
8/11/2026, 7:43:43 PM4 trades$31 min
8/13/2026, 8:22:12 PM2 trades$10 min

Equity Curve

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

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

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
50% sell
DCA Style
SINGLE
avg 2/mkt
Entry Bias
HIGH $
L0 / M55.6 / H44.4