@keyboard-politician
00x8d5e7e32347212e53e57f7ea2c1a4fa35192c921
~6d· 12 markets · 30 trades2026-10-08 02:10:30
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
17% (1/6)0/20
0.00x (win $0 / loss $98)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.0894 per $1 invested0/10
HHI 3708 (6 markets)0/10
1/4 profitable days (25%)0/10
Max DD 0% of peak ($98 / $0)0/10
Badges
2Profitable
PnL $+1,307
🏗️Market Maker
80% maker orders
Categories
1🌤️ WEATHER#305,400$-6,203Vol: $426,450
Overview
#1Net PnL
$1,307
Polymarket official
Total Volume
$1,096
Total Redeem
$0
Portfolio
$0
Predictions
12
total markets
Trades
24B / 6S
Daily Volume
$0
Account Age
~6d
Periods
#2Today
$96
Vol: $0
Week
$4,877
Vol: $67,488
Month
$-6,491
Vol: $405,774
All Time
$1,307
Vol: $0
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
17%
1W / 5L events
Realized PnL
$1,307
Win Rate
17%
1W / 5L
Profit Factor
0x
Avg Win
$0
Avg Loss
$-20
Outlier Sensitivity: Top-3 = $0 (0.0003597232427136909% of PnL)
Top Winners
Will the highest temperature in Ankara be 25°C on September 7?$0
Top Losers
Will the highest temperature in Busan be 29°C on September 5?$-46
Will the highest temperature in Buenos Aires be 19°C on September 4?$-37
Will the lowest temperature in Tokyo be 22°C on September 6?$-10
Will the highest temperature in Helsinki be 18°C on September 5?$-5
Will the highest temperature in Shenzhen be 30°C on September 5?$-0
Risk Metrics
#4Sharpe
-1.024
Sortino
-1.164
HHI
30
Diversified
EV per $1
$-0.990
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
4.2%
Top-5 markets
9%
Behavior Analysis
#5Trades / Day
2.0
Moderate
Markets / Day
0.8
Active Hours
8/24
Normal
Peak Hour
20:00 UTC
Median Gap
12.1m
between trades
Avg Gap
4.2h
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
1.45
Variable
Session Statistics
Sessions
16
Avg Duration
0 min
Avg Trades / Session
1.9
Bot Detection
#65
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 727s — normal for humanCV 1.45 — diverse sizes (human-like)0% night trades — normal pattern8/24 hours — normal schedule2 trades/day — normal0.8 markets/day — normal80% maker — frequent liquidity provider
Timing Patterns
#7Peak hour: 20:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
1.5
Price Levels
#9Low (<20c)4.2%
Mid (20-55c)45.8%
High (>55c)50%
Sessions
#129/2/2026, 11:49:18 PM9 trades$4910 min
9/7/2026, 10:32:51 PM1 trades$2750 min
8/24/2026, 8:10:16 PM4 trades$1733 min
8/24/2026, 7:04:31 PM1 trades$1640 min
9/7/2026, 6:59:01 AM1 trades$1060 min
9/3/2026, 8:50:37 PM4 trades$461 min
9/3/2026, 9:20:34 PM1 trades$370 min
8/24/2026, 8:02:46 PM1 trades$360 min
9/4/2026, 10:42:27 PM1 trades$60 min
9/4/2026, 8:17:49 PM1 trades$50 min
9/7/2026, 11:08:42 PM1 trades$50 min
9/7/2026, 6:17:34 AM1 trades$50 min
9/5/2026, 9:34:07 AM1 trades$40 min
9/7/2026, 6:28:18 AM1 trades$30 min
9/7/2026, 6:40:25 AM1 trades$20 min
9/5/2026, 6:12:16 PM1 trades$10 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
2026-09-04 12:00:00
2026-09-05 12:00:00
2026-09-06 12:00:00
2026-09-07 12:00:00
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
20% sell
DCA Style
SINGLE
avg 1.5/mkt
Entry Bias
HIGH $
L4.2 / M45.8 / H50