@Menuchis
#625,877170x559298b1d17a2348047c78e28a209c6d305eae05
~8d· 10 markets · 36 tradesVol: $6,4412026-08-25 01:08:27
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.
17
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
50% (5/10)10/20
0.67x (win $7 / loss $10)0/15
Annualised Sharpe -2.7940/15
Sortino -3.0550/10
$-0.0450 per $1 invested0/10
HHI 7400 (10 markets)0/10
4/7 profitable days (57%)6.8/10
Max DD 0% of peak ($7 / $0)0/10
Categories
3🌤️ WEATHER#20,105$14Vol: $3,273
⚽ SPORTS#1,288,326$-7Vol: $3,142
₿ CRYPTO#999,492$-3Vol: $26
Overview
#1Net PnL
$3
Polymarket official
Total Volume
$6,441
Total Redeem
$0
Portfolio
$0
Predictions
10
total markets
Trades
16B / 20S
Daily Volume
$0
Account Age
~8d
Periods
#2Today
$1
Vol: $64
Week
$1
Vol: $80
Month
$13
Vol: $3,223
All Time
$3
Vol: $6,441
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
50%
5W / 5L events
Realized PnL
$-15
Win Rate
50%
5W / 5L
Profit Factor
0.67x
Avg Win
$1
Avg Loss
$-5
Outlier Sensitivity: Top-3 = $6 (0.3670387393302692% of PnL)
Top Winners
Will the highest temperature in Kuala Lumpur be 31°C on July 25?$3
Will the highest temperature in Seoul (Incheon) be 35°C on August 5?$2
Will the highest temperature in Seoul (Incheon) be 37°C or higher on August 6?$1
Will the highest temperature in Shanghai be 35°C on August 7?$1
Bitcoin Up or Down - July 6, 1:05PM-1:10PM ET$1
Top Losers
Will Argentina win the 2026 FIFA World Cup?$-8
Will the highest temperature in Wellington be 8°C on August 4?$-2
Risk Metrics
#4Sharpe
-0.135
Sortino
-0.120
HHI
3665
Concentrated
EV per $1
$-0.040
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
56.7%
Top-5 markets
95.4%
Behavior Analysis
#5Trades / Day
1.0
Moderate
Markets / Day
0.3
Active Hours
6/24
Normal
Peak Hour
14:00 UTC
Median Gap
2.5m
between trades
Avg Gap
5.0h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.39
Variable
Session Statistics
Sessions
11
Avg Duration
0 min
Avg Trades / Session
3.3
Bot Detection
#60
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 150s — normal for humanCV 1.39 — diverse sizes (human-like)0% night trades — normal pattern6/24 hours — normal schedule1 trades/day — normal0.3 markets/day — normal44% maker — normal mix
Timing Patterns
#7Peak hour: 14:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
4.6
Price Levels
#9Low (<20c)25%
Mid (20-55c)0%
High (>55c)75%
Sessions
#128/3/2026, 5:42:30 PM6 trades$9900 min
7/3/2026, 6:31:08 PM2 trades$500 min
7/3/2026, 8:35:31 PM4 trades$432 min
8/6/2026, 1:44:12 PM4 trades$103 min
7/3/2026, 2:28:56 PM4 trades$81 min
7/6/2026, 2:44:07 PM4 trades$70 min
8/7/2026, 2:15:01 PM2 trades$70 min
7/24/2026, 2:13:24 PM2 trades$40 min
8/4/2026, 1:55:20 PM2 trades$40 min
7/6/2026, 5:06:41 PM4 trades$30 min
8/5/2026, 4:03:38 PM2 trades$30 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
07-03
07-06
07-24
08-03
08-04
08-06
08-07
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
50% weather
Holding Style
ACTIVE SELLER
55.6% sell
DCA Style
MODERATE
avg 4.6/mkt
Entry Bias
HIGH $
L25 / M0 / H75